Probability threshold(s):': '
{plsi(len(self.plot.curve_items), "prag|praga|pragi")} verjetnosti:'
+ data: false
+
: false
+ ' — ': false
+ {round(threshold, 3)}: false
+
: false
+ def `commit`:
+ data: false
+ def `send_report`:
+ Target class: Ciljni razred
+ def `cumulative_gains`:
+ array dimensions don't match: false
+ mergesort: false
+ __main__: false
+widgets/evaluate/owparameterfitter.py:
+ def `_search`:
+ Calculating...: Računam...
+ class `ParameterSetter`:
+ Gridlines: Mrežne črte
+ Show: Pokaži
+ def `axis_items`:
+ item: false
+ class `FitterPlot`:
+ def `clear_all`:
+ bottom: false
+ left: false
+ def `set_data`:
+ bottom: false
+ left: false
+ '#6fa255': false
+ '#3a78b6': false
+ '#333': false
+ pen: false
+ width: false
+ symbol: false
+ s: false
+ Train: Učni
+ CV: Prečno prev.
+ def `help_event`:
+
: false
+ : false
+ | Train: | : Učni: |
+ {round(scores[0], 3)} | : false
+
: false
+ | CV: | : Prečno preverjanje: |
+ {round(scores[1], 3)} | : false
+
: false
+
: false
+ def `__get_index_at`:
+ height: false
+ class `RangePreview`:
+ def `paintEvent`:
+ {self.__steps[-1]}: false
+ ', ': false
+ 'Steps: ': 'Koraki: '
+ class `OWParameterFitter`:
+ Parameter Fitter: Umerjanje parametrov
+ Fit learner for various values of fitting parameter.: Umeri model za različne vrednosti parametrov.
+ icons/ParameterFitter-symbolic.svg: false
+ parameter, fitter, tuning: parameter, fitter, tuning, umerjanje, prilagajanje
+ graph.plotItem: false
+ class `Inputs`:
+ Data: Podatki
+ Learner: Učni algoritem
+ class `Error`:
+ {}: false
+ At least {N_FOLD} instances are needed.: Potrebujemo vsaj {N_FOLD} primerov.
+ "Invalid values for '{}': {}": Neveljavne vrednosti za '{}': {}
+ Minimum must be less than maximum.: Minimum mora biti manjši od maksimuma.
+ Data has no target.: Podatki nimajo ciljne spremenljivke.
+ class `Warning`:
+ {} has no parameters to fit.: {} nima parametrov za umerjanje.
+ def `_add_controls`:
+ Settings: Nastavitve
+ parameter_index: false
+ type: false
+ Range:: Območje:
+ minimum: false
+ From:: Od:
+ maximum: false
+ To:: Do:
+ Manual:: Ročno:
+ manual_steps: false
+ e.g. 10, 20, ..., 50: npr. 10, 20, ..., 50
+ auto_commit: false
+ def `initial_parameters`:
+ classification: false
+ def `_steps_from_manual`:
+ ...: false
+ ', ': false
+ def `_set_range_controls`:
+ The widget currently supports only int parameters: false
+ Enter a list of values: Vnesite seznam vrednosti
+ {tip} between {param.min} and {param.max}.: {tip} med {param.min} in {param.max}.
+ {tip} greater or equal to {param.min}.: {tip} večjih ali enakih {param.min}.
+ {tip} smaller or equal to {param.max}.: {tip} manjših ali enakih {param.max}.
+ def `send_report`:
+ Settings: Nastavitve
+ Parameter: Parameter
+ Range: Območje
+ ', ': false
+ Plot: Graf
+ __main__: false
+ housing: false
+widgets/evaluate/owpermutationplot.py:
+ def `permutation`:
+ Calculating...: Računam...
+ class `ParameterSetter`:
+ Gridlines: Mrežne črte
+ Show: Pokaži
+ def `axis_items`:
+ item: false
+ class `PermutationPlot`:
+ def `__init__`:
+ Correlation between original Y and permuted Y (%): Korelacija med izvirnim Y in permutiranim Y (%)
+ bottom: false
+ def `set_data`:
+ left: false
+ AUC: true
+ '#000': true
+ '#333': true
+ pen: false
+ symbol: false
+ o: false
+ brush: false
+ '#6fa255': true
+ s: false
+ '#3a78b6': true
+ size: false
+ hoverable: false
+ tip: false
+ 'x: {x:.3g}\ny: {y:.3g}': true
+ Train: Učna
+ CV: Prečno
+ class `OWPermutationPlot`:
+ Permutation Plot: Permutacijski grafikon
+ Permutation analysis plotting: Grafični prikaz permutacijske analize
+ icons/PermutationPlot-symbolic.svg: false
+ _keywords: permutation, plot
+ graph.plotItem: false
+ class `Inputs`:
+ Data: Podatki
+ Learner: Učni algoritem
+ class `Error`:
+ {}: false
+ At least {N_FOLD} instances are needed.: Potrebujemo vsaj {N_FOLD} primerov.
+ def `_add_controls`:
+ Settings: Nastavitve
+ n_permutations: false
+ Permutations:: Permutacije:
+ Info: Informacije
+ def `__set_info`:
+ No data available.: Ni podatkov.
+ '
+
+
+ |
+ Corr = 0 |
+ Corr = 100 |
+
+
+ | Train |
+ {intercept_tr:.4f} |
+ {y_tr:.4f} |
+
+
+ | CV |
+ {intercept_cv:.4f} |
+ {y_cv:.4f} |
+
+
+ ': '
+
+
+ |
+ Kor. = 0 |
+ Kor. = 100 |
+
+
+ | Učni |
+ {intercept_tr:.4f} |
+ {y_tr:.4f} |
+
+
+ | Prečno |
+ {intercept_cv:.4f} |
+ {y_cv:.4f} |
+
+
+ '
+ def `send_report`:
+ Settings: Nastavitve
+ Permutations: Permutacije
+ Info: Informacije
+ Plot: Graf
+ __main__: false
+ iris: false
+widgets/evaluate/owpredictions.py:
+ PredictorSlot: false
+ predictor: false
+ name: false
+ results: false
+ (None): (Ne kaži)
+ Difference: razlika
+ Absolute difference: absolutna razlika
+ Relative: relativna napaka
+ Absolute relative: absolutna relativna napaka
+ Don't show columns with errors: Ne kaži stolpcev z napakami
+ Show difference between predicted and actual value: Pokaži razliko med napovedano in resnično vrednostjo
+ Show absolute difference between predicted and actual value: Pokaži absolutno razliko med napovedano in resnično vrednostjo
+ Show relative difference between predicted and actual value: Pokaži relativno napako
+ Show absolute value of relative difference between predicted and actual value: Pokaži absolutno vrednost relativne napake
+ class `OWPredictions`:
+ Predictions: Napovedi
+ icons/Predictions-symbolic.svg: false
+ Display predictions of models for an input dataset.: Pokaži napovedi modela na tabeli podatkov.
+ predictions: predictions
+ class `Inputs`:
+ Data: Podatki
+ Predictors: Modeli
+ class `Outputs`:
+ Selected Predictions: Izbrane napovedi
+ Predictions: Napovedi
+ Evaluation Results: Rezultati vrednotenja
+ class `Warning`:
+ Empty dataset: Prazna tabela
+ Some model(s) predict a different target (see more ...)\n{}: Nekateri modeli napovedujejo drugo spremenljivko (več...)\n{}
+ 'Instances with missing targets ': 'Primeri z manjkajočimi ciljnimi vrednostmi niso '
+ are ignored while scoring.: upoštevani pri vrednotenju.
+ class `Error`:
+ Some predictor(s) failed (see more ...)\n{}: V nekaterih modelih je prišlo do napake (več...)\n{}
+ Some scorer(s) failed (see more ...)\n{}: Nekatere cenilke niso izračunani (več...)\n{}
+ (None): (Ne kaži)
+ Classes in data: razrede iz tabele
+ Classes known to the model: razrede modelov
+ Classes in data and model: razrede iz tabele in modelov
+ Don't show probabilities: Ne kaži verjetnosti
+ Show probabilities for classes in the data: Pokaži verjetnosti razredov v tabeli
+ Show probabilities for classes known to the model,\n: Pokaži verjetnosti razredov, ki jih napovedujejo modeli,\n
+ including those that don't appear in this data: vključno s temi, ki jih v podatkih ni.
+ Show probabilities for classes in data that are also\n: Pokaži verjetnosti razredov, ki se pojavijo v podatkih\n
+ known to the model: in so znani tudi modelom.
+ (Average over classes): (Povprečje prek razredov)
+ def `__init__`:
+ Show probabilities for: Pokaži verjetnosti za
+ shown_probs: false
+ show_probability_errors: false
+ Show classification errors: Pokaži klasifikacijske napake
+ Show 1 - probability assigned to the correct class: Pokaže 1 - verjetnost, napovedano pravilnemu razredu
+ 'Shown regression error: ': Prikazana napaka:
+ show_reg_errors: false
+ See tooltips for individual options: Poglej namige ob posameznih možnostih
+ Restore Original Order: Izvirni vrstni red
+ Show rows in the original order: Pokaži vrstice v izvirnem vrstnem redu
+ show_scores: false
+ Show perfomance scores: Pokaži rezultate vrednotenja
+ Target class:: Ciljni razred:
+ target_class: false
+ def `_call_predictors`:
+ '{predictor.name}: {err}': false
+ def `_update_scores`:
+ N/A: NN
+ NA: NN
+ {score:.3f}: false
+ def `_update_score_table_visibility`:
+ \n: false
+ def `_set_errors`:
+ \n: false
+ '- {p.predictor.name}: {p.results}': false
+ - {pred.name} predicts '{pred.domain.class_var.name}': false
+ def `_get_details`:
+ Data:
: Podatki:
+
: false
+ "Model: {n_predictors} {pl(n_predictors, 'model')}": Modeli: {n_predictors} {plsi(n_predictors, 'model')}
+ ' ({n_predictors - n_valid} failed)': ' ({n_predictors - n_valid} z napako)'
+
: false
+ - {name}
: false
+
: false
+ Model:
No model on input.: Model:
Ni vhodnih modelov.
+ def `_update_prediction_delegate`:
+ ignore: false
+ .*All-NaN.*: false
+ def `_add_classification_out_columns`:
+ {name} ({value}): false
+ def `_add_error_out_columns`:
+ {slot.predictor.name} (error): {slot.predictor.name} (napaka)
+ def `send_report`:
+ \n: false
+
: false
+ '
Showing probabilities for ': '
Verjetnosti za '
+ all classes known to the model.: razrede, ki jih napovedujejo modeli.
+ all classes that appear in the data.: razrede, ki se pojavijo v podatkih.
+ 'all classes that appear in the data ': 'razrede, ki jih napovedujejo modeli '
+ and are known to the model.: in se pojavljajo v podatkih.
+ "'{self.class_var.values[class_idx]}.'": false
+ Info: true
+ Data & Predictions: Podatki in napovedi
+ Scores: Rezultati
+ Target class: Ciljni razred
+ def `migrate_settings`:
+ score_table: false
+ def `migrate_context`:
+ target_class: false
+ class `ClassificationItemDelegate`:
+ def `__init__`:
+ ' : ': false
+ {{dist[{i}]:.2f}}: false
+ -: true
+ {probs} → {{value!s}}: true
+ {value!s}: false
+ p({', '.join(tooltip_probabilities)}): true
+ def `sizeHint`:
+ {x}.{x}{x}: false
+ class `ErrorDelegate`:
+ def `sizeHint`:
+ X: false
+ class `ClassificationErrorDelegate`:
+ def `displayText`:
+ ?: true
+ {value:.3f}: false
+ class `RegressionItemDelegate`:
+ def `__init__`:
+ {{value:{(target_format or '%.2f')[1:]}}}: false
+ class `RegressionErrorDelegate`:
+ def `displayText`:
+ ?: true
+ -∞: true
+ ∞: true
+ class `PredictionsModel`:
+ def `headerData`:
+ error: false
+ def `errorColumn`:
+ ignore: false
+ def `tool_tip`:
+ {value:!s} {dist:!s}: false
+ __main__: false
+ iris.tab: false
+ To err is human: false
+widgets/evaluate/owrocanalysis.py:
+ ROCPoints: false
+ fpr: false
+ tpr: false
+ thresholds: false
+ ROCCurve: false
+ points: false
+ hull: false
+ ROCAveragedVert: false
+ tpr_std: false
+ ROCAveragedThresh: false
+ fpr_std: false
+ ROCData: false
+ merged: false
+ folds: false
+ avg_vertical: false
+ avg_threshold: false
+ PlotCurve: false
+ curve: false
+ curve_item: false
+ hull_item: false
+ def `plot_curve`:
+ +: false
+ PlotAvgCurve: false
+ confint_item: false
+ def `plot_avg_curve`:
+ +: false
+ Some: false
+ val: false
+ PlotCurves: false
+ merge: false
+ class `OWROCAnalysis`:
+ ROC Analysis: Analiza ROC
+ 'Display the Receiver Operating Characteristics curve ': 'Pokaže krivuljo ROC za '
+ based on the evaluation of classifiers.: rezultate vrednotenja.
+ icons/ROCAnalysis-symbolic.svg: false
+ roc analysis, analyse: roc analysis, analyse
+ class `Inputs`:
+ Evaluation Results: Rezultati vrednotenja
+ class `Outputs`:
+ Calibrated Model: Kalibriran model
+ class `Information`:
+ "Can't output a model: {}": Ne morem sestaviti modela: {}
+ plot: false
+ def `__init__`:
+ Plot: Krivulja
+ target_index: false
+ Target: Ciljni razred
+ Classifiers: Modeli
+ selected_classifiers: false
+ classifier_names: false
+ Curves: Krivulje
+ roc_averaging: false
+ Merge Predictions from Folds: Združi napovedi na podmnožicah
+ Mean TP Rate: Povprečni delež resničnih poz.
+ Mean TP and FP at Threshold: Povprečni res. poz. in laž. neg. na pragu
+ Show Individual Curves: Pokaži posamične krivulje
+ display_convex_curve: false
+ Show convex ROC curves: Pokaži konveksne krivulje
+ display_convex_hull: false
+ Show ROC convex hull: Pokaži konveksno ovojnico
+ Analysis: Analiza
+ display_def_threshold: false
+ Default threshold (0.5) point: Privzeti prag (0.5)
+ display_perf_line: false
+ Show performance line: Pokaži črto delovanja
+ fp_cost: false
+ FP Cost:: Cena lažnega neg.
+ fn_cost: false
+ FN Cost:: Cena lažnega poz.
+ target_prior: false
+ ' %': true
+ Auto: false
+ Prior probability:: Apriorna verjetnost:
+ bottom: false
+ FP Rate (1-Specificity): Delež lažnih pozitivnih (1 - specifičnost)
+ left: false
+ TP Rate (Sensitivity): Delež resničnih pozitivnih (senzitivnost)
+ def `_initialize`:
+ learner_names: false
+ '#{}': true
+ def `_set_target_prior`:
+ 'color: gray;': false
+ def `_setup_plot`:
+ def `merge_averaging`:
+ {:.3f}: false
+ Some ROC curves are undefined: Nekatere krivulje ROC niso definirane.
+ All ROC curves are undefined: Nobene krivulja ROC ni definirana.
+ def `_update_axes_ticks`:
+ def `enumticks`:
+ {x:.2f}: false
+ bottom: false
+ left: false
+ def `_on_mouse_moved`:
+ Thresholds:\n: Pragi:\n
+ \n: false
+ ({:s}) {:.3f}: false
+ def `_on_target_prior_changed`:
+ 'color: black;': false
+ def `send_report`:
+ Target class: Ciljni razred
+ Costs: Cene
+ FP = {}, FN = {}: Lažni pozitivni = {}, lažni negativni = {}
+ Target probability: Ciljna verjetnost
+ {} %: false
+ def `interp`:
+ xp and fp must have the same shape: false
+ right: false
+ def `roc_curve_vertical_average`:
+ No curves: false
+ def `roc_curve_threshold_average`:
+ No curves: false
+ left: false
+ RocPoint: false
+ threshold: false
+ def `_create_results`:
+ heart_disease: false
+ 1100111001001000: false
+ __main__: false
+widgets/evaluate/owtestandscore.py:
+ class `InputLearner`:
+ Try[Orange.evaluation.Results]: false
+ Try[float]: false
+ class `Try`:
+ class `Success`:
+ __value: false
+ def `__repr__`:
+ {}({!r}): false
+ class `Fail`:
+ __exception: false
+ def `__repr__`:
+ {}({!r}): false
+ class `State`:
+ Waiting: false
+ Running: false
+ Done: false
+ Cancelled: false
+ class `OWTestAndScore`:
+ Test and Score: Testiraj in meri
+ Cross-validation accuracy estimation.: Ocenjevanje modeliranja s prečnim preverjanjem.
+ icons/TestLearners1-symbolic.svg: false
+ test and score, cross validation, cv: test and score, cross validation, cv, prečno preverjanje
+ Orange.widgets.evaluate.owtestlearners.OWTestLearners: false
+ class `Inputs`:
+ Data: Podatki
+ Test Data: Testni podatki
+ Learner: Algoritmi učenja
+ Preprocessor: Predprocesorji
+ class `Outputs`:
+ Predictions: Napovedi
+ Evaluation Results: Rezultati vrednotenja
+ (None, show average over classes): (Brez, pokaži poprečje prek razredov)
+ class `Error`:
+ Test dataset is empty.: Tabela testnih podatkov je prazna
+ Test data input requires a target variable.: Testni podatki morajo imeti ciljno spremenljivko.
+ Number of folds exceeds the data size: Števil podmnožic presega število primerov.
+ 'Test and train datasets ': 'Učni in testni podatki '
+ have different target variables.: nimajo iste ciljne spremenljivke.
+ Not enough memory.: Premalo pomnilnika.
+ Test data may be incompatible with train data.: Testni podatki niso združljivi z učnimi.
+ {}: false
+ class `Warning`:
+ Instances with unknown target values were removed from{}data.: Primeri z manjkajočo ciljni spremenljivko so odstranjenih iz{}podatkov.
+ Missing separate test data input.: Na vhodu ni testnih primerov.
+ Some scores could not be computed.: Nekaterih mer ni bilo mogoče izračunati.
+ 'Test data is present but unused. ': 'Testni primeri so podani, a neuporabljeni. '
+ Select 'Test on test data' to use it.: Izberite 'Testiraj na testnih primerih'.
+ "Can't run stratified {}-fold cross validation; ": 'Ne morem uporabiti {}-kratnega stratificiranega prečnega preverjanja; '
+ the least common class has only {} instances.: najmanjši razred ima samo {} primerov.
+ class `Information`:
+ Train data has been sampled: Učni primeri so bili vzorčeni.
+ Test data has been sampled: Testni primeri so bili vzorčeni.
+ Test data has been transformed to match the train data.: Testni podatki so transformirani, da ustrezajo učnim.
+ Stratification is ignored for regression: Testiranje regresije ne uporablja stratifikacije.
+ Stratification is ignored when there are: Stratifikacija ne deluje z več ciljnimi spremenljivkami.
+ ' multiple target variables.': ""
+ def `__init__`:
+ resampling: false
+ Cross validation: Prečno preverjanje
+ n_folds: false
+ 'Number of folds: ': Število podmnožic
+ cv_stratified: false
+ Stratified: Stratificirano
+ Cross validation by feature: Prečno po spremenljivki
+ fold_feature: false
+ Random sampling: Naključno vzorčenje
+ n_repeats: false
+ 'Repeat train/test: ': Število ponovitev:
+ sample_size: false
+ 'Training set size: ': 'Delež učne množice: '
+ {} %: false
+ shuffle_stratified: false
+ Leave one out: Izpusti enega
+ Test on train data: Testiraj na učnih primerih
+ Test on test data: Testiraj na testnih primerih
+ class_selection: false
+ Evaluation results for target: Rezultati vrednotenja za cilj
+ comparison_criterion: false
+ Compare models by:: Primerjaj modele glede na:
+ use_rope: false
+ 'Negligible diff.: ': Zanemarljiva razlika
+ rope: false
+ '
Table shows probabilities that the score for the model in ': '"Tabela kaže verjetnost, da je model v '
+ 'the row is higher than that of the model in the column. ': 'vrstici dejansko boljši od modela v stolpcu. '
+ 'Small numbers show the probability that the difference is ': Majhne številke pomenijo zanemarljivo verjetnost.
+ negligible.:
+ def `set_train_data`:
+ Train dataset is empty.: Tabela učnih primerov je prazna.
+ Train data input requires a target variable.: Učni primeri morajo imeti ciljno spremenljivko.
+ Target variable has no values.: Cijna spremenljivka nima vrednosti.
+ Target variable has only one value.: Ciljna spremenljivka ima samo eno vrednost.
+ Data has no features to learn from.: Podatki nimajo spremenljivk za učenje.
+ def `_which_missing_data`:
+ ' ': false
+ ' train ': ' učnih '
+ ' test ': ' testnih '
+ def `update_stats_model`:
+ {:.3f}: false
+ {} (error): {} (napaka)
+ {name} failed with error:\n: {name} je javil napako:\n
+ '{exc.__class__.__name__}: {exc!s}': false
+ \n: false
+ def `_scores_by_folds`:
+ weighted: false
+ def `_fill_table`:
+ {p0:.3f}
{rope:.3f}: false
+ p({row_name} > {col_name}) = {p0:.3f}\n: false
+ p({row_name} = {col_name}) = {rope:.3f}: false
+ {p1:.3f}
{rope:.3f}: false
+ p({col_name} > {row_name}) = {p1:.3f}\n: false
+ p({col_name} = {row_name}) = {rope:.3f}: false
+ {p0:.3f}: false
+ p({row_name} > {col_name}) = {p0:.3f}: false
+ {p1:.3f}: false
+ p({col_name} > {row_name}) = {p1:.3f}: false
+ def `_set_cells_na`:
+ NA: false
+ comparison cannot be computed: false
+ def `send_report`:
+ 'Stratified ': 'Stratificirano '
+ Sampling type: Vrsta vzorčenja
+ {}{}-fold Cross validation: {}{}-kratno prečno preverjanje.
+ Leave one out: Izpusti enega
+ '{}Shuffle split, {} random samples with {}% data ': '{}vzorčenje, {} naključnih vzorcev z {}% podatkov '
+ No sampling, test on training data: Ni vzorčenja, testiranje na učnih podatkih.
+ No sampling, test on testing data: Ni vzorčenja, testiranje na testnih podatkih.
+ Target class: Ciljni razred
+ (): false
+ Settings: Nastavitve
+ Scores: Rezultati
+ def `migrate_settings`:
+ resampling: false
+ context_settings: false
+ classes: false
+ score_table: false
+ def `__update`:
+ self.resampling %s: false
+ def `__submit`:
+ Running: V teku
+ def `__task_complete`:
+ Future[Results]: false
+ testing error (in __task_complete):: false
+ \n: false
+ def `results_add_by_model`:
+ def `is_empty`:
+ models: false
+ row_indices: false
+ probabilities: false
+ def `results_one_vs_rest`:
+ I({}=={}): false
+ False: false
+ True: false
+ __main__: false
+ iris: false
+widgets/evaluate/utils.py:
+ def `check_results_adequacy`:
+ invalid_results: false
+ Categorical target variable is required.: Potrebna je kategorična spremenljivka.
+ Empty result on input. Nothing to display.: Prazni rezultati vrednotenja.
+ Results contain invalid values.: Rezultati vrednotenja vsebujejo neveljavne vrednosti
+ def `check_can_calibrate`:
+ each training data sample produces a different model: vsaka podmnožica učnih podatkov sestavi drug model
+ 'test results do not contain stored models - try testing ': 'rezultati vrednotenja ne vsebujejo modelov - poskusite testirati '
+ on separate data or on training data: na ločenih podatkih ali na učni množici.
+ select a single model - the widget can output only one: izberite posamični model
+ cannot calibrate non-binary models: ne morem kalibrirati nebinarnih modelov
+ \n - {problem}: true
+ def `results_for_preview`:
+ heart_disease: false
+ l2: false
+ l1: false
+ LR l2: false
+ LR l1: false
+ SVM: false
+ Nu SVM: false
+ def `learner_name`:
+ name: false
+ def `usable_scorers`:
+ abstract: false
+ priority: false
+ def `scorer_caller`:
+ def `thunked`:
+ ignore: false
+ ((F-score|Precision)) is ill-defined.*: false
+ weighted: false
+ Model_: false
+ Train_: false
+ Test_: false
+ class `SelectableColumnsHeader`:
+ def `__init__`:
+ 'border: none; background-color: {col.name(QColor.NameFormat.HexRgb)}': false
+ class `ScoreTable`:
+ class `ItemDelegate`:
+ def `displayText`:
+ {value:.3f}: false
+ def `update_header`:
+ Model: true
+ Model_: false
+ Train: Učenje
+ Train time [s]: Čas učenja [s]
+ Train_: false
+ Test: Test
+ Test time [s]: Čas testiranja [s]
+ Test_: false
+ ' ({score.name})': false
+ def `migrate_to_show_scores_hints`:
+ show_score_hints: false
+ shown_scores: false
+widgets/evaluate/tests/base.py:
+ class `EvaluateTest`:
+ def `setUp`:
+ y: false
+ a: false
+ b: false
+ datasets/lenses.tab: false
+ majority: false
+ knn-3: false
+ knn-1: false
+ def `test_many_evaluation_results`:
+ widget: false
+ iris: false
+ Evaluation Results: Rezultati vrednotenja
+widgets/model/__init__.py:
+ Model: true
+ orange.widgets.model: false
+ Prediction: Napoved
+ '#FAC1D9': false
+ icons/Category-Model.svg: false
+widgets/model/owadaboost.py:
+ class `OWAdaBoost`:
+ AdaBoost: true
+ 'An ensemble meta-algorithm that combines weak learners ': 'Skupinski algoritem učenja, ki združuje šibke algoritme '
+ "and adapts to the 'hardness' of each training sample. ": in prilagaja 'težavnosti' učnih primerov.
+ icons/AdaBoost-symbolic.svg: false
+ Orange.widgets.classify.owadaboost.OWAdaBoostClassification: false
+ Orange.widgets.regression.owadaboostregression.OWAdaBoostRegression: false
+ adaboost, boost: adaboost, boost
+ class `Inputs`:
+ Learner: Učni algoritem
+ Linear: Linearna
+ Square: Kvadratna
+ Exponential: Eksponentna
+ class `Error`:
+ The base learner does not support weights.: Učni algoritem ne podpira uteži.
+ def `add_main_layout`:
+ Base estimator:: Osnovni model:
+ n_estimators: false
+ Number of estimators:: Število modelov:
+ learning_rate: false
+ Learning rate:: Hitrost učenja:
+ loss_index: false
+ Loss (regression):: Funkcija izgube (za regresijo)
+ Reproducibility: Ponovljivost
+ random_seed: false
+ Fixed seed for random generator:: Seme generatorja naključnih števil:
+ use_random_seed: false
+ def `set_base_learner`:
+ INVALID: NEVELJAVEN
+ def `get_learner_parameters`:
+ Base estimator: Osnovni model
+ Number of estimators: Število modelov
+ Loss (regression): Izguba (za regresijo)
+ __main__: false
+ iris: false
+widgets/model/owcalibratedlearner.py:
+ class `OWCalibratedLearner`:
+ Calibrated Learner: Kalibriran učni algoritem
+ 'Wraps another learner with probability calibration and ': 'Ovije drug učni algoritem z modelom za kalibracijo verjetnosti '
+ decision threshold optimization: in optimiranje klasifikacijskega praga.
+ icons/CalibratedLearner-symbolic.svg: false
+ calibrated learner, calibration, threshold: calibrated learner, calibration, threshold, kalibracija, prag
+ Sigmoid calibration: Sigmoidna kalibracija
+ Isotonic calibration: Izotonična kalibracija
+ No calibration: Brez kalibracije
+ Sigmoid: Sigmoidna
+ Isotonic: Izotonična
+ Optimize classification accuracy: Optimiraj napovedno točnost
+ Optimize F1 score: Optimiraj F1
+ No threshold optimization: Brez optimizacije praga
+ CA: točnost
+ F1: F1
+ class `Inputs`:
+ Base Learner: Učni algoritem
+ def `add_main_layout`:
+ calibration: false
+ Probability calibration: Kalibracija verjetnosti
+ threshold: false
+ Decision threshold optimization: Optimiranje napovednega praga
+ def `_set_default_name`:
+ ' + ': false
+ def `get_learner_parameters`:
+ Calibrate probabilities: Kalibracija verjetnosti
+ Threshold optimization: Optimiranje praga
+ __main__: false
+ heart_disease: false
+widgets/model/owconstant.py:
+ class `OWConstant`:
+ Constant: Konstanta
+ 'Predict the most frequent class or mean value ': 'Vedno napove isti, večinski razred oz. povprečno vrednost '
+ from the training set.: učnih primerov.
+ icons/Constant-symbolic.svg: false
+ Orange.widgets.classify.owmajority.OWMajority: false
+ Orange.widgets.regression.owmean.OWMean: false
+ constant, majority, mean: constant, majority, mean, večina, povprečje
+ __main__: false
+ iris: false
+widgets/model/owcurvefit.py:
+ isclose: false
+ inf: false
+ nan: false
+ arccos: false
+ arccosh: false
+ arcsin: false
+ arcsinh: false
+ arctan: false
+ arctan2: false
+ arctanh: false
+ ceil: false
+ copysign: false
+ cos: false
+ cosh: false
+ degrees: false
+ e: false
+ exp: false
+ expm1: false
+ fabs: false
+ floor: false
+ fmod: false
+ gcd: false
+ hypot: false
+ isfinite: false
+ isinf: false
+ isnan: false
+ ldexp: false
+ log: false
+ log10: false
+ log1p: false
+ log2: false
+ pi: false
+ power: false
+ radians: false
+ remainder: false
+ sin: false
+ sinh: false
+ sqrt: false
+ tan: false
+ tanh: false
+ trunc: false
+ round: false
+ abs: false
+ any: false
+ all: false
+ class `Parameter`:
+ def `__repr__`:
+ 'Parameter(name={self.name}, initial={self.initial}, ': false
+ 'use_lower={self.use_lower}, lower={self.lower}, ': false
+ use_upper={self.use_upper}, upper={self.upper}): false
+ class `ParametersWidget`:
+ def `_setup_gui`:
+ Name: Ime
+ Initial value: Začetna vrednost
+ Lower bound: Spodnja meja
+ Upper bound: Zgornja meja
+ +: false
+ def `_add_row`:
+ p{row_id + 1}: true
+ ×: true
+ minimum: false
+ maximum: false
+ class `OWCurveFit`:
+ Curve Fit: Prileganje krivulje
+ Fit a function to data.: Prilagodi krivuljo podatkom.
+ icons/CurveFit-symbolic.svg: false
+ curve fit, function: curve fit, function, krivulja, prilagajanje
+ class `Outputs`:
+ Coefficients: Koeficienti
+ class `Warning`:
+ Duplicated parameter name.: Podvojeno ime parametra
+ "Unused parameter '{}' in ": Neuporabljen parameter '{}'
+ "'Parameters' declaration.": ""
+ Provide data on the input.: Priskrbite vhodne podatke.
+ class `Error`:
+ Invalid expression.: Nepravilen izraz.
+ Missing a fitting parameter.\n: Manjkajoč parameter.
+ Use 'Feature Constructor' widget instead.: Uporabite gradnik Sestavi značilke.
+ Unknown parameter '{}'.\n: Neznan parameter '{}'.\n
+ Declare the parameter in 'Parameters' box: Deklarirajte ga v škatli 'Parametri'
+ 'Some parameters and features have the same ': 'Nekateri parametri in spremenljivke imajo '
+ name '{}'.: enaka imena '{}'.
+ Select Feature: Izberite spremenljivko
+ Select Parameter: Izberite parameter
+ Select Function: Izberite funkcijo
+ def `add_main_layout`:
+ Parameters: Parametri
+ Expression: Izrazi
+ expression: false
+ Expression...: Izraz...
+ _feature: false
+ _parameter: false
+ _function: false
+ def `__on_function_added`:
+ arctan2: false
+ copysign: false
+ fmod: false
+ gcd: false
+ hypot: false
+ isclose: false
+ ldexp: false
+ power: false
+ remainder: false
+ (,): false
+ (): false
+ def `get_learner_parameters`:
+ Expression: Izraz
+ def `check_data`:
+ Data has no continuous features.: Podatki nimajo numeričnih spremenljivk
+ def `__validate_expression`:
+ eval: false
+ __main__: false
+ housing: false
+widgets/model/owgradientboosting.py:
+ class `LearnerItemModel`:
+ Extreme Gradient Boosting (xgboost): true
+ xgboost: false
+ Extreme Gradient Boosting Random Forest (xgboost): true
+ Gradient Boosting (catboost): true
+ catboost: false
+ def `_add_data`:
+ {name}: false
+ {lib} is not installed: {lib} ni nameščen
+ class `BaseEditor`:
+ def `_add_main_layout`:
+ callback: false
+ alignment: false
+ controlWidth: false
+ Basic Properties: Osnovne lastnosti
+ n_estimators: false
+ Number of trees:: Število dreves:
+ learning_rate: false
+ 'Learning rate: ': 'Hitrost učenja: '
+ random_state: false
+ Replicable training: Ponovno učenje
+ Growth Control: Nadzor rasti
+ max_depth: false
+ 'Limit depth of individual trees: ': 'Omejitev globine posamičnih dreves: '
+ Subsampling: Podvzorčenje
+ def `get_arguments`:
+ n_estimators: false
+ learning_rate: false
+ random_state: false
+ max_depth: false
+ def `get_learner_parameters`:
+ Method: Metoda
+ Number of trees: Število dreves
+ Learning rate: Hitrost učenja
+ Replicable training: Ponovno učenje
+ Yes: Da
+ No: Ne
+ Maximum tree depth: Največja globina drevesa
+ class `RegEditor`:
+ def `_add_main_layout`:
+ Regularization:: Regularizacija
+ lambda_index: false
+ def `_set_lambda_label`:
+ 'Lambda: {}': true
+ def `get_arguments`:
+ reg_lambda: false
+ def `get_learner_parameters`:
+ Regularization strength: Moč regularizacije
+ class `GBLearnerEditor`:
+ def `_add_main_layout`:
+ subsample: false
+ 'Fraction of training instances: ': 'Delež učnih primerov: '
+ min_samples_split: false
+ 'Do not split subsets smaller than: ': 'Ne deli podmnožic manjših od: '
+ def `get_arguments`:
+ subsample: false
+ min_samples_split: false
+ def `get_learner_parameters`:
+ Fraction of training instances: Delež učnih primerov
+ Stop splitting nodes with maximum instances: Ne deli vozlišč z manj primeri kot
+ class `CatGBLearnerEditor`:
+ def `_add_main_layout`:
+ colsample_bylevel: false
+ 'Fraction of features for each tree: ': 'Delež spremenljivk za vsako drevo: '
+ def `get_arguments`:
+ colsample_bylevel: false
+ def `get_learner_parameters`:
+ Fraction of features for each tree: Delež spremenljivk za vsako drevo
+ class `XGBBaseEditor`:
+ def `_add_main_layout`:
+ callback: false
+ alignment: false
+ controlWidth: false
+ subsample: false
+ 'Fraction of training instances: ': 'Delež učnih primerov: '
+ colsample_bytree: false
+ 'Fraction of features for each tree: ': 'Delež spremenljivk za posamezno drevo: '
+ colsample_bylevel: false
+ 'Fraction of features for each level: ': 'Delež spremenljivk za posamezno stopnjo: '
+ colsample_bynode: false
+ 'Fraction of features for each split: ': 'Delež spremenljivk za posamezno delitev: '
+ def `get_arguments`:
+ subsample: false
+ colsample_bytree: false
+ colsample_bylevel: false
+ colsample_bynode: false
+ def `get_learner_parameters`:
+ Fraction of training instances: Delež učnih primerov
+ Fraction of features for each tree: Delež spremenljivk za vsako drevo
+ Fraction of features for each level: Delež spremenljivk za posamezno stopnjo
+ Fraction of features for each split: Delež spremenljivk za posamezno delitev
+ class `OWGradientBoosting`:
+ Gradient Boosting: true
+ Predict using gradient boosting on decision trees.: Napovedovanje z modelom Gradient Boosting na odločitvenih drevesih.
+ icons/GradientBoosting-symbolic.svg: false
+ gradient boosting, catboost, gradient, boost, tree, forest, xgb, gb, extreme: gradient boosting, catboost, gradient, boost, tree, forest, xgb, gb, extreme, drevo, gozd
+ def `add_main_layout`:
+ Method: Metoda
+ method_index: false
+ __main__: false
+ iris: false
+widgets/model/owknn.py:
+ class `OWKNNLearner`:
+ kNN: k sosedov
+ Predict according to the nearest training instances.: Napoveduje glede na najbližje sosede iz učnih primerov.
+ icons/KNN-symbolic.svg: false
+ Orange.widgets.classify.owknn.OWKNNLearner: false
+ Orange.widgets.regression.owknnregression.OWKNNRegression: false
+ knn, k nearest, knearest, neighbor, neighbour: knn, k nearest, knearest, neighbor, neighbour, najbližji, sosedi
+ uniform: false
+ distance: false
+ euclidean: false
+ manhattan: false
+ chebyshev: false
+ mahalanobis: false
+ cosine: false
+ Uniform: Enake
+ By Distances: Po razdalji
+ Euclidean: Evklidska
+ Manhattan: Manhattanska
+ Chebyshev: Čebiševa
+ Mahalanobis: Mahalanobisova
+ Cosine: Kosinusna
+ def `add_main_layout`:
+ Neighbors: Sosedi
+ n_neighbors: false
+ Number of neighbors:: Število sosedov:
+ metric_index: false
+ Metric:: Metrika:
+ weight_index: false
+ Weight:: Uteži:
+ def `get_learner_parameters`:
+ Number of neighbours: Število sosedov
+ Metric: Metrika
+ Weight: Uteži
+ __main__: false
+ iris: false
+widgets/model/owlinearregression.py:
+ class `OWLinearRegression`:
+ Linear Regression: Linearna regresija
+ 'A linear regression algorithm with optional L1 (LASSO), ': 'Linearna regresija z '
+ L2 (ridge) or L1L2 (elastic net) regularization.: različnimi vrstami regularizacije.
+ icons/LinearRegression-symbolic.svg: false
+ Orange.widgets.regression.owlinearregression.OWLinearRegression: false
+ linear regression, ridge, lasso, elastic net: linear regression, ridge, lasso, elastic net, regresija, regularizacija
+ class `Outputs`:
+ Coefficients: Koeficienti
+ No regularization: Brez regularizacije
+ Ridge regression (L2): Ridge (L2)
+ Lasso regression (L1): Lasso (L1)
+ Elastic net regression: Elastična mreža
+ def `add_main_layout`:
+ Parameters: Parametri
+ fit_intercept: false
+ Fit intercept (unchecking it fixes it to zero): Uporabi prosti člen (sicer bo enak 0)
+ Regularization: Regularizacija
+ reg_type: false
+ Regularization strength:: Moč regularizacije:
+ alpha_index: false
+ Elastic net mixing:: Mešanica elastične mreže
+ L1: true
+ l2_ratio: false
+ L2: true
+ def `_set_alpha_label`:
+ 'Alpha: {}': α = {}
+ def `_set_l2_ratio_label`:
+ '{:.{}f} : {:.{}f}': false
+ def `update_model`:
+ coef: false
+ name: false
+ intercept: false
+ coefficients: koeficienti
+ def `get_learner_parameters`:
+ No Regularization: Brez regularizacije
+ Ridge Regression (L2) with α={}: Ridge (L2) z α={}
+ Lasso Regression (L1) with α={}: Lasso (L1) z α={}
+ Elastic Net Regression with α={}: Elastična mreža z α={}
+ ' and L1:L2 ratio of {}:{}': ' in L1:L2 v razmerju {}:{}'
+ Regularization: Regularizacija
+ Fit intercept: Prosti člen
+ No: Ne
+ Yes: Da
+ __main__: false
+ housing: false
+widgets/model/owloadmodel.py:
+ class `OWLoadModel`:
+ Load Model: Naloži model
+ Load a model from an input file.: Preberi model iz datoteke.
+ Orange.widgets.classify.owloadclassifier.OWLoadClassifier: false
+ icons/LoadModel-symbolic.svg: false
+ load model, file, open, model: load model, file, open, model, datoteka, odpri
+ class `Outputs`:
+ Model: true
+ class `Error`:
+ An error occured while reading '{}': Napaka pri branju '{}'
+ ;;: false
+ def `__init__`:
+ File: Datoteka
+ ...: true
+ Reload: Ponovno naloži
+ def `browse_file`:
+ Open Model File: Odpri datoteko z modelom
+ def `open_file`:
+ rb: false
+ class `OWLoadModelDropHandler`:
+ def `canDropFile`:
+ .pkcls: false
+ def `parametersFromFile`:
+ recent_paths: false
+ __main__: false
+widgets/model/owlogisticregression.py:
+ class `OWLogisticRegression`:
+ Logistic Regression: Logistična regresija
+ 'The logistic regression classification algorithm with ': Logistična regresija z regularizacijo.
+ LASSO (L1) or ridge (L2) regularization.: ""
+ icons/LogisticRegression-symbolic.svg: false
+ Orange.widgets.classify.owlogisticregression.OWLogisticRegression: false
+ logistic regression: logistic regression, regresija, regularizacija
+ class `Outputs`:
+ Coefficients: Koeficienti
+ Lasso (L1): true
+ Ridge (L2): true
+ None: Brez
+ l1: false
+ l2: false
+ class `Warning`:
+ Weighting by class may decrease performance.: Uteževanje glede na razred lahko upočasni učenje.
+ def `add_main_layout`:
+ penalty_type: false
+ 'Regularization type: ': 'Vrsta regularizacije: '
+ Strength:: Moč:
+ Weak: Šibka
+ margin-top:6px: false
+ C_index: false
+ Strong: Močna
+ class_weight: false
+ Balance class distribution: Uravnoteži razrede
+ Weigh classes inversely proportional to their frequencies.: Uteži razrede obratno sorazmerno njihovi pogostosti
+ def `set_c`:
+ C={}: true
+ C={:.3f}: true
+ N/A: NN
+ def `create_learner`:
+ balanced: false
+ def `get_learner_parameters`:
+ Regularization: Regularizacija
+ '{}, C={}, class weights: {}': {}, C={}, uteži razredov: {}
+ def `create_coef_table`:
+ name: ime
+ intercept: odsek
+ coefficients: koeficienti
+ __main__: false
+ zoo: false
+widgets/model/ownaivebayes.py:
+ class `OWNaiveBayes`:
+ Naive Bayes: Naivni Bayes
+ 'A fast and simple probabilistic classifier based on ': 'Preprost model, ki temelji na Bayesovi formuli '
+ Bayes' theorem with the assumption of feature independence.: in predpostavlja pogojno neodvisnost spremenljivk.
+ icons/NaiveBayes-symbolic.svg: false
+ Orange.widgets.classify.ownaivebayes.OWNaiveBayes: false
+ naive bayes: naive bayes, bayes, pogojna neodvisnost
+ __main__: false
+ iris: false
+widgets/model/owneuralnetwork.py:
+ class `Task`:
+ def `setFuture`:
+ future is already set: false
+ class `OWNNLearner`:
+ Neural Network: Nevronska mreža
+ 'A multi-layer perceptron (MLP) algorithm with ': Večnivojski perceptron z vzvratnim širjenjem
+ backpropagation.: ' (backpropagation).'
+ icons/NN-symbolic.svg: false
+ neural network, mlp: neural network, mlp, večnivojskost, mreža
+ identity: false
+ logistic: false
+ tanh: false
+ relu: false
+ Identity: Identiteta
+ Logistic: Logistična
+ ReLu: ReLu
+ lbfgs: false
+ sgd: false
+ adam: false
+ L-BFGS-B: true
+ SGD: true
+ Adam: true
+ 100,: false
+ class `Warning`:
+ 'ANN without hidden layers is equivalent to logistic ': 'Nevronska mreža brez skritih nivojev je enaka logistični '
+ 'regression with worse fitting.\nWe recommend using ': 'regresiji s slabšim algoritmom prileganja.\nPriporočamo uporabo '
+ logistic regression.: logistične regresije.
+ def `add_main_layout`:
+ Neurons in hidden layers:: Nevroni v skritih nivojih
+ hidden_layers_input: false
+ 'A list of integers defining neurons. Length of list ': 'Seznam števil, ki določijo število nevronov. Dolžina seznama '
+ defines the number of layers. E.g. 4, 2, 2, 3.: določi število nivojev. Npr. 4, 2, 2, 3
+ e.g. 10,: npr. 10,
+ Activation:: Aktivacija:
+ activation_index: false
+ Solver:: Algoritem reševanja:
+ solver_index: false
+ alpha_index: false
+ Maximal number of iterations:: Omejitev števila ponovitev:
+ max_iterations: false
+ Max iterations:: Omejitev ponovitev:
+ replicable: false
+ Replicable training: Ponovljivo učenje
+ def `set_alpha`:
+ Regularization, α={}:: Regularizacija, α={}:
+ def `setup_layout`:
+ Cancel: Prekini
+ def `get_learner_parameters`:
+ Hidden layers: Skriti nivoji
+ ', ': false
+ Activation: Aktivacija
+ Solver: Algoritem reševanja
+ Alpha: Alfa
+ Max iterations: Omejitev števila ponovitev
+ Replicable training: Ponovljivo učenje
+ def `get_hidden_layers`:
+ \d+: false
+ def `__update`:
+ max_iter: false
+ def `migrate_settings`:
+ alpha: false
+ alpha_index: false
+ __main__: false
+ iris: false
+widgets/model/owpls.py:
+ class `OWPLS`:
+ PLS: true
+ Partial Least Squares Regression widget for multivariate data analysis: PLS regresija za multivariatno analizo podatkov
+ icons/PLS-symbolic.svg: false
+ partial least squares: partial least squares, pls, regresija
+ class `Outputs`:
+ Coefficients and Loadings: Koeficienti in uteži
+ Data with Scores: Podatki z vrednostmi
+ Components: Komponente
+ class `Warning`:
+ 'Sparse input data: default preprocessing is to scale it.': Redki vhodni podatki: privzeta predobdelava je skaliranje.
+ def `add_main_layout`:
+ Optimization Parameters: Optimizacijski parametri
+ n_components: false
+ 'Components: ': 'Komponente: '
+ max_iter: false
+ 'Iteration limit: ': 'Omejitev iteracij: '
+ scale: false
+ Scale features and target: Skaliraj spremenljivke in ciljno spremenljivko
+ def `_create_output_coeffs_loadings`:
+ coef ({v.name}): koef ({v.name})
+ coef * X_sd ({v.name}): koef × X_sd ({v.name})
+ w*c {i + 1}: true
+ Variable name: Ime spremenljivke
+ Variable role: Vloga spremenljivke
+ Feature: Značilka
+ Target: Cilj
+ intercept: odsek
+ Coefficients and Loadings: Koeficienti in uteži
+ def `set_data`:
+ Data has no target variable.\n: Podatki nimajo ciljne spremenljivke.\n
+ Select one with the Select Columns widget.: Izberite jo z gradnikom Izberi stolpce.
+ def `create_learner`:
+ preprocessors: false
+ __main__: false
+ housing: false
+widgets/model/owrandomforest.py:
+ class `OWRandomForest`:
+ Random Forest: Naključni gozd
+ Predict using an ensemble of decision trees.: Skupinsko napovedovanje z drevesi.
+ icons/RandomForest-symbolic.svg: false
+ Orange.widgets.classify.owrandomforest.OWRandomForest: false
+ Orange.widgets.regression.owrandomforestregression.OWRandomForestRegression: false
+ random forest: random forest, drevesa
+ class `Error`:
+ Insufficient number of attributes ({}): Nezadostno število spremenljivk ({})
+ class `Warning`:
+ Weighting by class may decrease performance.: Uteževanje razredov lahko upočasni izvajanje.
+ def `add_main_layout`:
+ Basic Properties: Osnovne lastnosti
+ n_estimators: false
+ 'Number of trees: ': 'Število dreves: '
+ max_features: false
+ 'Number of attributes considered at each split: ': 'Število obravnavanih spremenljivk ob vsaki delitvi: '
+ use_max_features: false
+ use_random_state: false
+ Replicable training: Ponovljivo učenje
+ class_weight: false
+ Balance class distribution: Uravnoteži razrede
+ Weigh classes inversely proportional to their frequencies.: Uteži razrede obratno sorazmerno njihovi pogostosti.
+ Growth Control: Nadzor rasti
+ max_depth: false
+ 'Limit depth of individual trees: ': 'Omejitev globine posamičnih dreves: '
+ use_max_depth: false
+ min_samples_split: false
+ 'Do not split subsets smaller than: ': 'Ne deli množic z manj primeri kot: '
+ use_min_samples_split: false
+ def `create_learner`:
+ n_estimators: false
+ max_features: false
+ random_state: false
+ max_depth: false
+ min_samples_split: false
+ class_weight: false
+ balanced: false
+ def `get_learner_parameters`:
+ Number of trees: Število dreves
+ Maximal number of considered features: Število obravnavanih spremenljivk
+ unlimited: neomejeno
+ Replicable training: Ponovljivo učenje
+ No: Ne
+ Yes: Da
+ Maximal tree depth: Največja globina dreves
+ Stop splitting nodes with maximum instances: Ne deli množic z manj primeri kot
+ Class weights: Uteževanje razredov
+ __main__: false
+ iris: false
+widgets/model/owrules.py:
+ class `CustomRuleClassifier`:
+ def `__init__`:
+ Rule ordering: Urejenost pravil
+ Covering algorithm: Način prekrivanja
+ def `predict`:
+ ordered: urejena
+ exclusive: eno pravilo
+ unordered: neurejena
+ weighted: utežena
+ class `CustomRuleLearner`:
+ Custom rule inducer: false
+ def `__init__`:
+ Rule ordering: Urejenost pravil
+ Covering algorithm: Način prekrivanja
+ exclusive: eno pravilo
+ weighted: utežena
+ Gamma: Gama
+ Beam width: Širina snopa
+ Restrict to equality: Omejitev na enakost
+ Evaluation measure: Ocena kvalitete pravila
+ entropy: entropija
+ laplace: Laplacova natančnost
+ wracc: WRACC
+ Minimum rule coverage: Najmanjše število pokritih primerov
+ Maximum rule length: Največja dolžina pravila
+ Default alpha: Zahtevana statistična značilnost
+ Parent alpha: Značilnost prednika
+ def `fit_storage`:
+ ordered: urejena
+ weighted: utežena
+ unordered: neurejena
+ class `OWRuleLearner`:
+ CN2 Rule Induction: Odločitvena pravila
+ Induce rules from data using CN2 algorithm.: Sestavi odločitvena pravila z algoritmom CN2.
+ icons/CN2RuleInduction-symbolic.svg: false
+ Orange.widgets.classify.owrules.OWRuleLearner: false
+ cn2 rule induction: cn2 rule induction
+ ordered: urejena
+ unordered: neurejena
+ exclusive: eno pravilo
+ weighted: utežena
+ entropy: entropija
+ laplace: Laplacova natančnost
+ wracc: WRACC
+ def `add_main_layout`:
+ Rule ordering: Urejenost pravil
+ rule_ordering: false
+ Ordered: Urejena
+ Unordered: Neurejena
+ Covering algorithm: Način prekrivanja
+ covering_algorithm: false
+ Exclusive: Z enim pravilom
+ Weighted: Uteženo
+ gamma: false
+ γ:: true
+ Rule search: Iskanje pravil
+ evaluation_measure: false
+ Evaluation measure:: Mera kvalitete:
+ Entropy: Entropija
+ Laplace accuracy: Laplacova natančnost
+ WRAcc: WRACC
+ beam_width: false
+ Beam width:: Širina snopa:
+ Rule filtering: Presejanje pravil
+ min_covered_examples: false
+ Minimum rule coverage:: Najmanjše število pokritih primerov:
+ max_rule_length: false
+ Maximum rule length:: Najdaljša dolžina pravila:
+ default_alpha: false
+ Statistical significance (default α):: Statistična značilnost (privzeti α):
+ checked_default_alpha: false
+ parent_alpha: false
+ Relative significance (parent α):: Relativna značilnost (predniko α):
+ checked_parent_alpha: false
+ restrict_equality: false
+ Restrict operator for categorical values to equality: Omeji operator za kategorične vrednosti na enakost
+ def `get_learner_parameters`:
+ Rule ordering: Urejenost pravil
+ Covering algorithm: Način prekrivanja
+ Gamma: Gama
+ Evaluation measure: Ocena kvalitete pravila
+ Restrict to equality: Omejitev na enakost
+ Beam width: Širina snopa
+ Minimum rule coverage: Najmanjše število pokritih primerov
+ Maximum rule length: Največja dolžina pravila
+ Default alpha: Zahtevana statistična značilnost
+ Parent alpha: Značilnost prednika
+ __main__: false
+ iris: false
+widgets/model/owsavemodel.py:
+ class `OWSaveModel`:
+ Save Model: Shrani model
+ Save a trained model to an output file.: Shrani model v datoteko.
+ icons/SaveModel-symbolic.svg: false
+ Orange.widgets.classify.owsaveclassifier.OWSaveClassifier: false
+ save model, save: save model, save
+ class `Inputs`:
+ Model: true
+ Pickled model (*.pkcls): Pickle z modelom (*.pickle)
+ def `do_save`:
+ wb: false
+ __main__: false
+widgets/model/owscoringsheet.py:
+ class `ScoringSheetRunner`:
+ def `run`:
+ Learning...: Učenje...
+ class `OWScoringSheet`:
+ Scoring Sheet: Točkovalnik
+ A fast and explainable classifier.: Hitra in razložljiva klasifikacija.
+ icons/ScoringSheet-symbolic.svg: false
+ orangecontrib.prototypes.widgets.owscoringsheet.OWScoringSheet: false
+ scoring sheet: true
+ class `Information`:
+ If the number of input features used is too low for the number of decision \n: Če je število uporabljenih vhodnih značilk premajhno za število odločitvenih \n
+ parameters, the number of decision parameters will be adjusted to fit the model.: parametrov, bo število odločitvenih parametrov prilagojeno modelu.
+ def `add_main_layout`:
+ Preprocessing: Predobdelava
+ num_attr_after_selection: false
+ Number of Attributes After Feature Selection:: Število spremenljivk po izboru značilk:
+ Model Parameters: Parametri modela
+ num_decision_params: false
+ Maximum Number of Decision Parameters:: Največje število odločitvenih parametrov:
+ max_points_per_param: false
+ Maximum Points per Decision Parameter:: Največje število točk na odločitveni parameter:
+ custom_features_checkbox: false
+ Custom number of input features: Ročno določeno število značilk
+ num_input_features: false
+ Number of Input Features Used:: Število uporabljenih vhodnih značilk:
+ __main__: false
+widgets/model/owsgd.py:
+ class `OWSGD`:
+ Stochastic Gradient Descent: Stohastični gradientni spust
+ 'Minimize an objective function using a stochastic ': 'Minimiziranje ciljne funkcije z uporabo stohastičnega '
+ approximation of gradient descent.: približka gradientnega spusta.
+ icons/SGD-symbolic.svg: false
+ Orange.widgets.regression.owsgdregression.OWSGDRegression: false
+ stochastic gradient descent, sgd: stochastic gradient descent, sgd
+ class `Outputs`:
+ Coefficients: Koeficienti
+ Squared Loss: Kvadratna izguba
+ squared_error: false
+ Huber: Huberjeva
+ huber: false
+ ε insensitive: ε-neobčutljiva
+ epsilon_insensitive: false
+ Squared ε insensitive: Kvadratna ε-neobčutljiva
+ squared_epsilon_insensitive: false
+ Hinge: Rob (Hinge)
+ hinge: false
+ Logistic regression: Logistična regresija
+ log_loss: false
+ Modified Huber: Modificirana Huberjeva
+ modified_huber: false
+ Squared Hinge: Kvadrat roba (Squared Hinge)
+ squared_hinge: false
+ Perceptron: true
+ perceptron: false
+ None: Brez
+ Lasso (L1): true
+ l1: false
+ Ridge (L2): true
+ l2: false
+ Elastic Net: Elastična mreža
+ elasticnet: false
+ Constant: Konstanta
+ constant: false
+ Optimal: Optimalno
+ optimal: false
+ Inverse scaling: Inverzno skaliranje
+ invscaling: false
+ def `_add_algorithm_to_layout`:
+ Loss functions: Funkcije izgube
+ cls_loss_function_index: false
+ cls_epsilon: false
+ 'ε: ': false
+ 'Classification: ': 'Klasifikacija: '
+ reg_loss_function_index: false
+ reg_epsilon: false
+ 'Regression: ': 'Regresija: '
+ def `_add_regularization_to_layout`:
+ Regularization: Regularizacija
+ penalty_index: false
+ l1_ratio: false
+ 'Mixing: ': 'Mešanje: '
+ alpha: false
+ 'Strength (α): ': 'Moč (α): '
+ def `_add_learning_params_to_layout`:
+ Optimization: Optimizacija
+ learning_rate_index: false
+ 'Learning rate: ': 'Hitrost učenja: '
+ eta0: false
+ 'Initial learning rate (η
0): ': 'Začetna hitrost učenja (η
0): '
+ power_t: false
+ 'Inverse scaling exponent (t): ': 'Inverzni eksponent skaliranja (t): '
+ max_iter: false
+ 'Number of iterations: ': 'Število iteracij: '
+ tol: false
+ 'Tolerance (stopping criterion): ': 'Toleranca (zaustavitveni kriterij): '
+ tol_enabled: false
+ shuffle: false
+ Shuffle data after each iteration: Premešaj podatke po vsaki iteraciji
+ random_state: false
+ 'Fixed seed for random shuffling: ': 'Določeno seme za naključno mešanje: '
+ use_random_state: false
+ def `_on_cls_loss_change`:
+ huber: false
+ epsilon_insensitive: false
+ squared_epsilon_insensitive: false
+ def `_on_reg_loss_change`:
+ huber: false
+ epsilon_insensitive: false
+ squared_epsilon_insensitive: false
+ def `_on_regularization_change`:
+ l1: false
+ l2: false
+ elasticnet: false
+ def `_on_learning_rate_change`:
+ constant: false
+ invscaling: false
+ def `create_learner`:
+ random_state: false
+ def `get_learner_parameters`:
+ Classification loss function: Klasifikacijska funkcija izgube
+ huber: false
+ epsilon_insensitive: false
+ squared_epsilon_insensitive: false
+ Epsilon (ε) for classification: Epsilon (ε) za klasifikacijo
+ Regression loss function: Regresijska funkcija izgube
+ Epsilon (ε) for regression: Epsilon (ε) za regresijo
+ Regularization: Regularizacija
+ l1: false
+ l2: false
+ elasticnet: false
+ Regularization strength (α): Moč regularizacije (α)
+ Elastic Net mixing parameter (L1 ratio): Parameter mešanja pri elastični mreži (delež L1)
+ Learning rate: Hitrost učenja
+ constant: false
+ invscaling: false
+ Initial learning rate (η
0): Začetna hitrost učenja (η
0)
+ Inverse scaling exponent (t): Inverzni eksponent skaliranja (t)
+ Shuffle data after each iteration: Premešaj podatke po vsaki iteraciji
+ Random seed for shuffling: Naključno seme za mešanje
+ def `update_model`:
+ coef: false
+ name: false
+ intercept: false
+ coefficients: koeficienti
+ def `migrate_settings`:
+ max_iter: false
+ n_iter: false
+ tol_enabled: false
+ __main__: false
+ iris: false
+widgets/model/owstack.py:
+ class `OWStackedLearner`:
+ Stacking: Sklad modelov
+ Stack multiple models.: Sestavi več modelov v model.
+ icons/Stacking-symbolic.svg: false
+ stacking, ensemble: stacking, ensemble, sklad
+ Stack: Sklad
+ class `Inputs`:
+ Learners: Modeli
+ Aggregate: Združevalnik
+ def `create_learner`:
+ preprocessors: false
+ aggregate: false
+ def `get_learner_parameters`:
+ Base learners: Osnovni modeli
+ Aggregator: Združevalnik
+ default: privzeti
+ __main__: false
+ iris: false
+widgets/model/owsvm.py:
+ class `OWSVM`:
+ SVM: true
+ 'Support Vector Machines map inputs to higher-dimensional ': Metoda podpornih vektorjev.
+ feature spaces.: ""
+ icons/SVM-symbolic.svg: false
+ Orange.widgets.classify.owsvmclassification.OWSVMClassification: false
+ Orange.widgets.regression.owsvmregression.OWSVMRegression: false
+ svm, support vector machines: svm, support vector machines, podporni vektorji
+ class `Outputs`:
+ Support Vectors: Podporni vektorji
+ Support vectors: Podporni vektorji
+ class `Warning`:
+ Input data is sparse, default preprocessing is to scale it.: Podatki so redki; privzeti predprocesor jih skalira.
+ auto: true
+ Linear: Linearno
+ x⋅y: true
+ Polynomial: Polinomsko
+ (g x⋅y + c)
d: true
+ RBF: true
+ exp(-g|x-y|²): true
+ Sigmoid: Sigmoidno
+ tanh(g x⋅y + c): true
+ def `_add_type_box`:
+ svm_type: false
+ SVM Type: Vrsta SVM
+ SVM: true
+ C: false
+ epsilon: false
+ Cost (C):: Cena (C):
+ Regression loss epsilon (ε):: Koeficient izgube pri regresiji (ε):
+ ν-SVM: true
+ nu_C: false
+ nu: false
+ Regression cost (C):: Cena (pri regresiji) (C):
+ Complexity bound (ν):: Meja kompleksnosti (ν):
+ def `_add_kernel_box`:
+ Kernel: Jedro
+ kernel_type: false
+ 'Kernel: %(kernel_eq)s': Jedro: %(kernel_eq)s
+ gamma: false
+ ' g: ': true
+ coef0: false
+ ' c: ': true
+ degree: false
+ ' d: ': true
+ def `_add_optimization_box`:
+ Optimization Parameters: Parametri optimizacije
+ tol: false
+ 'Numerical tolerance: ': 'Numerična toleranca: '
+ max_iter: false
+ 'Iteration limit: ': 'Največje število ponovitev: '
+ limit_iter: false
+ def `create_learner`:
+ linear: false
+ poly: false
+ rbf: false
+ sigmoid: false
+ kernel: false
+ degree: false
+ gamma: false
+ coef0: false
+ probability: false
+ tol: false
+ max_iter: false
+ preprocessors: false
+ def `get_learner_parameters`:
+ SVM type: Vrsta SVM
+ SVM, C={}, ε={}: true
+ ν-SVM, ν={}, C={}: true
+ Numerical tolerance: Numerična toleranca
+ {:.6}: false
+ Iteration limt: Število ponovitev:
+ unlimited: neomejeno
+ def `_report_kernel_parameters`:
+ Kernel: Jedro
+ Linear: Linearno
+ Polynomial, ({g:.4} x⋅y + {c:.4})
{d}: Polinomsko, ({g:.4} x⋅y + {c:.4})
{d}
+ RBF, exp(-{:.4}|x-y|²): true
+ Sigmoid, tanh({g:.4} x⋅y + {c:.4}): Sigmoidno, tanh({g:.4} x⋅y + {c:.4})
+ def `migrate_settings`:
+ degree: false
+ __main__: false
+ iris: false
+widgets/model/owtree.py:
+ class `OWTreeLearner`:
+ Tree: Drevo
+ A tree algorithm with forward pruning.: Gradnja drevesa z rezanjem.
+ icons/Tree-symbolic.svg: false
+ Orange.widgets.classify.owclassificationtree.OWClassificationTree: false
+ Orange.widgets.regression.owregressiontree.OWRegressionTree: false
+ Orange.widgets.classify.owclassificationtree.OWTreeLearner: false
+ Orange.widgets.regression.owregressiontree.OWTreeLearner: false
+ tree, classification tree: tree, classification tree, klasifikacijsko drevo
+ 'Min. number of instances in leaves: ': 'Min. število primerov v listu: '
+ limit_min_leaf: false
+ min_leaf: false
+ 'Do not split subsets smaller than: ': 'Ne deli podmnožic manjših od: '
+ limit_min_internal: false
+ min_internal: false
+ 'Limit the maximal tree depth to: ': 'Omeji globino drevesa na: '
+ limit_depth: false
+ max_depth: false
+ 'Stop when majority reaches [%]: ': 'Ustavi delitev, ko delež večinskega razreda doseže [%]: '
+ limit_majority: false
+ sufficient_majority: false
+ def `add_main_layout`:
+ Parameters: Parametri
+ binary_trees: false
+ Induce binary tree: Sestavi binarno drevo
+ def `get_learner_parameters`:
+ Pruning: Rezanje
+ ', ': true
+ 'at least {self.min_leaf} ': 'vsaj {self.min_leaf} '
+ {pl(self.min_leaf, "instance")} in leaves: {plsi(self.min_leaf, "primer")} v listih
+ 'at least {self.min_internal} ': 'vsaj {self.min_internal} '
+ {pl(self.min_internal, "instance")} in internal nodes: {plsi(self.min_internal, "primer")} v notranjih vozliščih
+ maximum depth {self.max_depth}: dovoljena globina je {self.max_depth}
+ None: Brez
+ Splitting: Delitev
+ 'Stop splitting when majority reaches %d%% ': Ustavi, ko delež večinskega razreda doseže %d%%
+ (classification only): (samo za klasifikacijo)
+ Binary trees: Dvojiško drevo
+ No: Ne
+ Yes: Da
+ __main__: false
+ iris: false
+widgets/obsolete/owtable.py:
+ TableSlot: false
+ input_id: false
+ table: false
+ summary: false
+ view: false
+ class `OWDataTable`:
+ Orange Obsolete: Zastarelo
+ Orange.widgets.data.owtable.OWDataTable: false
+ Data Table: Tabela
+ View the dataset in a spreadsheet.: Pregled podatkov v tabeli.
+ ../data/icons/Table.svg: false
+ _keywords: false
+ class `Inputs`:
+ Data: Podatki
+ class `Outputs`:
+ Selected Data: Izbrani podatki
+ class `Warning`:
+ Multiple Data inputs are deprecated.\n: Uporaba več podatkovnih vnosov je zastarela.\n
+ This functionality will be removed soon.\n: Ta funkcija bo kmalu odstranjena.\n
+ Use multiple Tables instead.: Namesto tega uporabite več tabel.
+ def `__init__`:
+ Info: true
+ Variables: Spremenljivke
+ show_attribute_labels: false
+ Show variable labels (if present): Pokaži oznake spremenljivk
+ show_distributions: false
+ Visualize numeric values: Vizualiziraj številske vrednosti
+ color_by_class: false
+ Color by instance classes: Obarvaj primere glede na razred
+ Selection: Izbor
+ select_rows: false
+ Select full rows: Izbiraj cele vrstice
+ Restore Original Order: Izvirni vrstni red
+ Show rows in the original order: Pokaži vrstice v izvirnem vrstnem redu
+ auto_commit: false
+ def `set_dataset`:
+ name: false
+ Data: Podatki
+ def `insert_dataset`:
+ name: false
+ Data: Podatki
+ def `handleNewSignals`:
+ def `update`:
+ _update_info: false
+ def `_set_input_summary`:
+ No data.: Ni podatkov.
+ \n: false
+ __main__: false
+ iris: false
+ brown-selected: false
+ housing: false
+widgets/report/owreport.py:
+ OWReport: false
+ HAVE_REPORT: false
+ __main__: false
+ iris: false
+widgets/report/report.py:
+ DataReport: false
+ describe_data: false
+ describe_data_brief: false
+ describe_domain: false
+ describe_domain_brief: false
+ def `describe_domain`:
+ def `clip_attrs`:
+ ' (total: {nitems} {desc})': ' (skupno: {nitems} {desc})'
+ Features: Spremenljivke
+ features: {plsi(len(domain.attributes), "spremenljivka")}
+ Meta attributes: Meta atributi
+ meta attributes: meta {plsi(len(domain.metas), "spremenljivka")}
+ Target: Ciljna spremenljivka
+ target variables: ciljne spremenljivke
+ def `describe_data`:
+ Data instances: Število primerov
+ def `describe_domain_brief`:
+ Features: Spremenljivke
+ None: brez
+ Meta attributes: Meta atributi
+ Target: Ciljna spremenljivka
+ Class '{}': Razred '{}'
+ Numeric variable '{}': Numerična ciljna spremenljivka '{}'
+ Targets: Ciljne spremenljivke
+ def `describe_data_brief`:
+ Data instances: Število primerov
+widgets/report/tests/__init__.py:
+ def `suite`:
+ test*.py: false
+ __main__: false
+ suite: false
+widgets/tests/__init__.py:
+ def `load_tests`:
+ _in_load_tests: false
+ test*.py: false
+widgets/tests/base.py:
+ class `WidgetTest`:
+ data with just nans: false
+ abc: false
+ y: false
+ m: false
+ data without rows: false
+ data with just attributes: false
+ no data (after having attributes): false
+ data with just class: false
+ data with just continouos outcome: false
+ no data (after having class): false
+ data with just metas: false
+ x: false
+ with without attributes, class or metas: false
+ no data (after seeing a ghost): false
+ def `__init_subclass__`:
+ test_zero_size_data: false
+ def `test_zero_size_data`:
+ widget: false
+ not tested because .widget is not set: false
+ inputs: false
+ def `test_has_keywords`:
+ widget: false
+ _final_class: false
+ name: false
+ \nFile "{file}", line {inspect.getsourcelines(widget_class)[1]}.: false
+ keywords: false
+ Widget {widget_class.__name__} must define a 'keywords': false
+ class attribute.\n: false
+ If none are needed, set keywords='_keywords'.: false
+ utf-8: false
+ ^\s+keywords\s*=\s*\[: false
+ "'keywords' class attribute must be a comma-separated string, ": false
+ not a list.: false
+ Orange.: false
+ class `BaseParameterMapping`:
+ def `__init__`:
+ both: false
+ def `__str__`:
+ both: false
+ %s (%s): false
+ class `ParameterMapping`:
+ def `_default_values`:
+ {} is not supported: false
+ def `_default_get_value`:
+ {} is not supported: false
+ def `_default_set_value`:
+ {} is not supported: false
+ class `WidgetLearnerTestMixin`:
+ def `init`:
+ testing_dataset_cls: false
+ testing_dataset_reg: false
+ Model: false
+ Classifier: false
+ Predictor: false
+ def `test_has_unconditional_apply`:
+ unconditional_apply: false
+ def `test_input_preprocessor`:
+ Preprocessor not added to widget preprocessors: false
+ Preprocessors were not passed to the learner: false
+ def `test_input_preprocessors`:
+ `PreprocessorList` was not added to preprocessors: false
+ def `test_input_preprocessor_disconnect`:
+ Preprocessors not removed on disconnect.: false
+ def `test_output_learner`:
+ Does not initialize the learner output: false
+ Does not send a new learner instance on `Apply`.: false
+ def `test_output_learner_name`:
+ Learner Name: false
+ def `test_output_model_name`:
+ Model Name: false
+ def `_get_param_value`:
+ both: false
+ def `test_parameters`:
+ Mismatching setting for parameter '%s': false
+ def `test_params_trigger_settings_changed`:
+ apply(%s): false
+ def `_should_check_parameter`:
+ classification: false
+ regression: false
+ both: false
+ class `WidgetOutputsTestMixin`:
+ def `init`:
+ iris: false
+ def `_select_data`:
+ Subclasses should implement select_data: false
+ class `ProjectionWidgetTestMixin`:
+ def `init`:
+ iris: false
+ def `test_setup_graph`:
+ Did not finish in the specified {timeout}ms timeout: false
+ def `test_attr_label_metas`:
+ zoo: false
+ def `test_plot_once`:
+ heart_disease: false
+ def `test_subset_data_color`:
+ Did not finish in the specified {timeout}ms timeout: false
+ '#46befa': false
+ brush: false
+ '#000000': false
+ def `test_dragging_tooltip`:
+ heart_disease: false
+ def `test_sparse_data`:
+ iris: false
+ def `test_saved_selection`:
+ Did not finish in the specified {timeout}ms timeout: false
+ def `test_hidden_effective_variables`:
+ c1: false
+ hidden: false
+ c2: false
+ cls: false
+ a: false
+ b: false
+ def `test_visual_settings`:
+ Helvetica: false
+ Fonts: false
+ Font family: false
+ Title: false
+ Font size: false
+ Italic: false
+ Label: false
+ Categorical legend: false
+ Numerical legend: false
+ Annotations: false
+ Foo: false
+ class `AnchorProjectionWidgetTestMixin`:
+ def `test_embedding_missing_values`:
+ heart_disease: false
+ def `test_sparse_data`:
+ iris: false
+ def `test_visual_settings`:
+ Helvetica: false
+ Fonts: false
+ Anchor: false
+ Font size: false
+ Italic: false
+ class `datasets`:
+ def `path`:
+ datasets: false
+ def `missing_data_1`:
+ missing_data_1.tab: false
+ def `missing_data_2`:
+ missing_data_2.tab: false
+ def `missing_data_3`:
+ missing_data_3.tab: false
+ def `data_one_column_vals`:
+ a: false
+ b: false
+ c: false
+ y: false
+ n: false
+ ynyn: false
+ def `datasets`:
+ testing_dataset_cls: false
+ testing_dataset_reg: false
+ def `open_widget_classes`:
+ __init_subclass__: false
+widgets/tests/utils.py:
+ def `possible_duplicate_table`:
+ iris: false
+widgets/unsupervised/__init__.py:
+ Unsupervised: Nenadzorovano učenje
+ orange.widgets.unsupervised: false
+ Unsupervised learning.: Nenadzorovano učenje
+ '#CAE1EF': true
+ icons/Category-Unsupervised.svg: false
+widgets/unsupervised/owcorrespondence.py:
+ class `OWCorrespondenceAnalysis`:
+ Correspondence Analysis: Korespondenčna analiza
+ Correspondence analysis for categorical multivariate data.: Korespondenčna analiza kategoričnih multivariatnih podatkov.
+ icons/CorrespondenceAnalysis-symbolic.svg: false
+ correspondence analysis: correspondence analysis
+ class `Inputs`:
+ Data: Podatki
+ class `Outputs`:
+ Coordinates: Koordinate
+ plot.plotItem: false
+ class `Error`:
+ Empty dataset: Prazna tabela podatkov
+ No categorical data: Ni kategoričnih podatkov
+ def `__init__`:
+ Variables: Spremenljivke
+ Axes: Osi
+ component_x: false
+ X:: true
+ component_y: false
+ Y:: true
+ Contribution to Inertia: Prispevek k vztrajnosti
+ \n: true
+ auto_commit: false
+ def `set_data`:
+ ignore: false
+ combo box 'component_[xy]' .*: false
+ def `commit`:
+ Component {i + 1}: Komponenta {i + 1}
+ Variable: Spremenljivka
+ Value: Vrednost
+ def `_update_CA`:
+ ignore: false
+ combo box 'component_[xy]' .*: false
+ def `update_XY`:
+ {}: false
+ def `_setup_plot`:
+ def `get_minmax`:
+ inf: false
+ -inf: false
+ bottom: false
+ Component {} ({:.1f}%): Komponenta {} ({:.1f}%)
+ left: false
+ def `_update_info`:
+ \n\n: false
+ 'Axis 1: {:.2f}\n': Os 1: {:.2f}\n
+ 'Axis 2: {:.2f}': Os 2: {:.2f}
+ def `send_report`:
+ Data instances: Vhodni primeri
+ Selected variable: Izbrana spremenljivka
+ Selected variables: Izbrane spremenljivke
+ {} and {}: {} in {}
+ ', ': false
+ def `correspondence`:
+ ignore: false
+ CA: false
+ U: false
+ D: false
+ V: false
+ row_factors: false
+ col_factors: false
+ row_sums: false
+ column_sums: false
+ __main__: false
+ titanic: false
+widgets/unsupervised/owdbscan.py:
+ class `OWDBSCAN`:
+ DBSCAN: true
+ Density-based spatial clustering.: Gručenje na podlagi prostorske gostote.
+ icons/DBSCAN-symbolic.svg: false
+ density based clustering, clustering: density based clustering, clustering, gostota, gručenje
+ class `Inputs`:
+ Data: Podatki
+ class `Error`:
+ 'Not enough unique data instances. ': 'Ni dovolj primerov. '
+ At least two rows (with any defined values) are required.: Potrebna sta vsaj dva, ki imata vsaj eno nemanjkajočo vrednost.
+ The data does not contain any features.: Podatki ne vsebujejo nobenih spremenljivk.
+ Euclidean: Evklidska
+ euclidean: false
+ Manhattan: Manhattanska
+ cityblock: false
+ Cosine: Kosinusna
+ cosine: false
+ def `__init__`:
+ Parameters: Parametri
+ min_samples: false
+ Core point neighbors: Število sosedov
+ eps: false
+ Neighborhood distance: Velikost soseščine
+ Distance Metric: Mera razdalje
+ metric_idx: false
+ normalize: false
+ Normalize features: Normiraj spremenljivke
+ auto_commit: false
+ Data items sorted by score: Primeri iz podatkov, urejeni po oceni
+ Distance to the k-th nearest neighbour: Razdalja do k-tega najbližjega soseda
+ def `_plot_graph`:
+ red: false
+ def `send_data`:
+ Cluster: Gruča
+ C%d: G%d
+ DBSCAN Core: Jedro DBSCAN-a
+ 0: false
+ 1: false
+ __main__: false
+ iris.tab: false
+widgets/unsupervised/owdistancefile.py:
+ class `OWDistanceFile`:
+ Distance File: Branje razdalj
+ orange.widgets.unsupervised.distancefile: false
+ Read distances from a file.: Prebere matriko razdalj iz datoteke.
+ icons/DistanceFile-symbolic.svg: false
+ distance file, load, read, open: distance file, load, read, open, naloži, preberi, odpri
+ class `Outputs`:
+ Distances: Razdalje
+ class `Error`:
+ Data was not loaded:{}: Branje ni uspelo:{}
+ 'Matrix is not square. ': 'Matrika ni pravokotna. '
+ Reformat the file and use the File widget to read it.: Preoblikujte datoteko in jo preberite z gradnikom Datoteka.
+ def `__init__`:
+ Distance File: Datoteka z razdaljami
+ ...: true
+ Reload: Ponovno naloži
+ Options: Opcije
+ auto_symmetric: false
+ Treat triangular matrices as symmetric: Obravnavaj trikotne matrike kot simetrične
+ 'If matrix is triangular, this will copy the data to the ': 'Če je matrika trikotna, bo to preslikalo podatke '
+ other triangle: še v nasprotni trikotnik.
+ Browse documentation datasets: Prebrskaj podatke iz dokumentacije
+ def `browse_file`:
+ File: Datoteka
+ Cannot find the directory with documentation datasets: Ne najdem imenika z datotekami iz dokumentacije
+ ~/: false
+ Open Distance File: Odpri datoteko razdalj
+ All Readable Files (*.xlsx *.dst);;: Vse berljive datoteke (*.xlsx *.dst);;
+ Excel File (*.xlsx);;: Excelova datoteka (*.xlsx);;
+ Distance File (*.dst): Razdalje (*.dst)
+ def `open_file`:
+ .: false
+ (none): (prazno)
+ ' \n': false
+ def `send_report`:
+ No data was loaded.: Podatki niso naloženi.
+ File name: Ime datoteke
+ class `OWDistanceFileDropHandler`:
+ def `parametersFromFile`:
+ recent_paths: false
+ def `canDropFile`:
+ .dst: false
+ .xlsx: false
+ __main__: false
+widgets/unsupervised/owdistancemap.py:
+ class `DistanceMapItem`:
+ def `hoverMoveEvent`:
+ '{}, {}: {:.3f}': false
+ class `OWDistanceMap`:
+ Distance Map: Slika razdalj
+ Visualize a distance matrix.: Prikaže matriko razdalj s toplo gredo.
+ icons/DistanceMap-symbolic.svg: false
+ distance map: distance map, slika razdalj
+ class `Inputs`:
+ Distances: Razdalje
+ class `Outputs`:
+ Selected Data: Izbrani podatki
+ Features: Spremenljivke
+ class `Error`:
+ Empty distance matrix: Prazna matrika razdalj
+ Distance matrix is not symmetric.: Matrika razdalj ni simetrična.
+ grid_widget: false
+ def `__init__`:
+ sorting: false
+ Element Sorting: Urejanje
+ None: (Brez)
+ Clustering: Gručenje
+ Clustering with ordered leaves: Gručenje z urejenimi listi
+ Colors: Barve
+ annotation_idx: false
+ Annotations: Oznake
+ Enumeration: Oštevilčenje
+ autocommit: false
+ def `set_distances`:
+ 'Cluster ordering was disabled due to the input ': Urejeno gručenje
+ matrix being to big: ' je izključeno, ker je podatkov preveč.'
+ 'Clustering was disabled due to the input ': Gručenje
+ def `set_items`:
+ None: (Brez)
+ Enumeration: Oštevilčenje
+ Attribute names: Imena spremenljivk
+ Name: Imena
+ def `_update_labels`:
+ Attribute names: Imena spremenljivk
+ def `send_report`:
+ Sorting: Urejenost
+ Annotations: Oznake
+ __main__: false
+ iris: false
+widgets/unsupervised/owdistancematrix.py:
+ class `OWDistanceMatrix`:
+ Distance Matrix: Matrika razdalj
+ View distance matrix.: Pokaže matriko razdalj.
+ icons/DistanceMatrix-symbolic.svg: false
+ distance matrix: distance matrix
+ class `Inputs`:
+ Distances: Razdalje
+ class `Outputs`:
+ Distances: Razdalje
+ Selected Data: Izbrani podatki
+ Table: Tabela
+ class `Error`:
+ Distance matrix is empty.: Matrika razdalj je prazna.
+ def `__init__`:
+ annotation_idx: false
+ 'Labels: ': 'Oznake: '
+ None: Brez
+ Enumeration: Oštevilčenje
+ auto_commit: false
+ def `set_distances`:
+ None: Brez
+ Enumerate: Oštevilčenje
+ Labels: Oznake
+ Attribute names: Imena spremenljivk
+ Name: Imena
+ def `_choose_label`:
+ Enumerate: Oštevilčenje
+ def `_update_labels`:
+ Attribute names: Imena spremenljivk
+ Labels: Oznake
+ def `_set_selection`:
+ wrong data for symmetric selection: false
+ wrong data for asymmetric selection: false
+ def `send_report`:
+ def `cell`:
+ ' style="background-color: {brush.color().name()}"': false
+ {label:.{ndec}f}: false
+
{label} | \n: false
+
: false
+ : false
+ | : false
+
: false
+
: false
+ __main__: false
+ zoo: false
+widgets/unsupervised/owdistances.py:
+ Euclidean (normalized): Evklidska (normalizirana)
+ Square root of summed difference between normalized values: Kvadratni koren vsote razlik med normaliziranimi vrednostmi
+ Euclidean: Evklidska
+ Square root of summed difference between values: Kvadratni koren vsote razlik med vrednostmi
+ Manhattan (normalized): Manhattanska (normalizirana)
+ Sum of absolute differences between normalized values: Vsota absolutnih razlik med normaliziranimi vrednostmi
+ Manhattan: Manhattanska
+ Sum of absolute differences between values: Vsota absolutnih razlik med vrednostmi
+ Mahalanobis: Mahalanobisova
+ Mahalanobis distance: Mahalanobisova razdalja
+ Hamming: Hammingova
+ Hamming distance: Hammingova razdalja
+ Cosine: kosinusna
+ Cosine distance: kosinusna razdalja
+ Pearson: Pearsonova
+ Pearson correlation; distance = 1 - ρ/2: Pearsonova korelacija; razdalja = 1 - ρ/2
+ Pearson (absolute): Pearsonova (absolutna)
+ Absolute value of Pearson correlation; distance = 1 - |ρ|: Absolutna vrednost Pearsonove korelacije; razdalja = 1 - |ρ|
+ Spearman: Spearmanova
+ Spearman correlation; distance = 1 - ρ/2: Spearmanova korelacija; razdalja = 1 - ρ/2
+ Spearman (absolute): Spearmanova (absolutna)
+ Jaccard: Jaccardova
+ Jaccard distance: Jaccardova razdalja
+ class `DistanceRunner`:
+ def `run`:
+ Calculating...: Računam ...
+ axis: false
+ impute: false
+ callback: false
+ normalize: false
+ class `OWDistances`:
+ Distances: Razdalje
+ Compute a matrix of pairwise distances.: Izračunaj matriko razdalj.
+ icons/Distance-symbolic.svg: false
+ distances: distances
+ class `Inputs`:
+ Data: Podatki
+ class `Outputs`:
+ Distances: Razdalje
+ class `Error`:
+ No numeric features: Ni številskih spremenljivk
+ No binary features: Ni binarnih spremenljivk
+ {} requires dense data.: {} zahteva goste podatke.
+ Not enough memory: Premalo pomnilnika
+ Problem in calculation:\n{}: Težava pri izračunu:\n{}
+ Mahalanobis handles up to 1000 {}.: Mahalanobisova razdalja zmore do 1000 {}.
+ Data is too large (> {MAX_ITEMS} items).: Podatki so preveliki (> {MAX_ITEMS} primerov).
+ class `Warning`:
+ Ignoring categorical features: Kategoričnih spremenljivk ne upoštevam
+ Ignoring non-binary features: Ne-binarnih spremenljivk ne upoštevam
+ Some metrics don't support sparse data\n: Nekatere metrike ne podpirajo redkih podatkov\n
+ 'and were disabled: {}': in so bile onemogočene: {}
+ Missing values were imputed: Manjkajoče vrednosti so bile nadomeščene
+ Data has no features: Podatki nimajo spremenljivk.
+ def `__init__`:
+ axis: false
+ Rows: Vrstice
+ Columns: Stolpce
+ Compare: Primerjaj
+ Distance Metric: Razdalja
+ autocommit: false
+ def `refresh_radios`:
+ ', ': false
+ def `compute_distances`:
+ def `_fix_discrete`:
+ fallback: false
+ def `_check_tractability`:
+ rows: vrstic
+ columns: stolpcev
+ def `send_report`:
+ Distances Between: Razdalje med
+ Rows: vrsticami
+ Columns: stolpci
+ Metric: Razdalja
+ def `migrate_settings`:
+ normalized_dist: false
+ metric_idx: false
+ metric_id: false
+ __main__: false
+ iris: false
+widgets/unsupervised/owdistancetransformation.py:
+ class `OWDistanceTransformation`:
+ Distance Transformation: Transformacija razdalj
+ Transform distances according to selected criteria.: Transformira razdalje v matriki.
+ icons/DistancesTransformation-symbolic.svg: false
+ distance transformation: distance transformation
+ class `Inputs`:
+ Distances: Razdalje
+ class `Outputs`:
+ Distances: Razdalje
+ No normalization: Brez normiranja
+ To interval [0, 1]: V interval [0, 1]
+ To interval [-1, 1]: V interval [-1, 1]
+ 'Sigmoid function: 1/(1+exp(-X))': Sigmoidna funkcija: 1/(1+exp(-X))
+ No inversion: Brez obračanja
+ -X: true
+ 1 - X: true
+ max(X) - X: true
+ 1/X: true
+ def `__init__`:
+ normalization_method: false
+ Normalization: Normiranje
+ inversion_method: false
+ Inversion: Obračanje
+ autocommit: false
+ def `send_report`:
+ inversion ({}): obračanje ({})
+ normalization ({}): normiranje ({})
+ Model parameters: Parametri modela
+ Transformation: Transformacija
+ ', ': false
+ None: Brez
+ __main__: false
+ iris: false
+widgets/unsupervised/owhierarchicalclustering.py:
+ OWHierarchicalClustering: false
+ Single: Minimalna
+ Average: Povprečna
+ Weighted: Utežena
+ Complete: Maksimalna
+ Ward: Wardova
+ single: false
+ average: false
+ weighted: false
+ complete: false
+ ward: false
+ class `SaveStateSettingsHandler`:
+ def `initialize`:
+ __session_state_data: false
+ def `pack_data`:
+ __session_state_data: false
+ class `OWHierarchicalClustering`:
+ Hierarchical Clustering: Hierarhično gručenje
+ 'Display a dendrogram of a hierarchical clustering ': 'Prikaži dendrogram hierarhičnega razvrščanja v skupine, '
+ constructed from the input distance matrix.: zgrajenega iz matrike razdalj.
+ icons/HierarchicalClustering-symbolic.svg: false
+ hierarchical clustering: hierarchical clustering, dendrogram, razvrščanje, skupine
+ class `Inputs`:
+ Distances: Razdalje
+ Data Subset: Podmnožica podatkov
+ class `Outputs`:
+ Selected Data: Izbrani podatki
+ Enumeration: Številčenje
+ Name: Ime
+ scene: false
+ class `Error`:
+ Distance matrix is empty.: Matrika razdalj je prazna
+ Some distances are infinite: Nekatere razdalje so neskončne.
+ Distance matrix is not symmetric.: Matrika razdalj ni simetrična
+ class `Warning`:
+ 'Unused data subset: distances do not refer to data instances': Neuporabljeni podatki: matrika razdalj se ne nanaša na podane vhodne podatke.
+ Some data from the subset does not appear in distance matrix: Nekateri izmed primerov v vhodnih podatkih se ne pojavijo v matriki razdalj.
+ Subset data refers to a different table: Podmnožica podatkov pripada drugi tabeli podatkov.
+ Pruned cluster doesn't show colors and indicate subset: Porezano gručenje ne kaže barv in podmnožic.
+ 'Variables with too many values may ': 'Spremenljivke z veliko vrednostmi lahko '
+ degrade the performance of downstream widgets.: poslabšajo delovanje kasnejših gradnikov.
+ def `__init__`:
+ M: false
+ linkage: false
+ Linkage: Razdalja med gručami
+ None: Brez
+ Annotations: Oznake
+ annotation: false
+ label_only_subset: false
+ Show labels only for subset: Pokaži oznake samo za podmnožico
+ color_by: false
+ Color by:: Barva:
+ pruning: false
+ Pruning: Rezanje
+ max_depth: false
+ Max depth:: Največja globina
+ selection_method: false
+ Selection: Izbor
+ Manual: Ročno
+ Height ratio:: Razmerje višine:
+ cut_ratio: false
+ ' %': true
+ Top N:: Prvih N:
+ top_n: false
+ zoom_factor: false
+ Zoom: Povečava
+ Zoom in: Povečaj
+ Zoom out: Pomanjšaj
+ Reset zoom: Ponastavi zoom
+ autocommit: false
+ top: false
+ bottom: false
+ def `_set_items`:
+ Name: Ime
+ def `_update_labels`:
+ label_model: false
+ Enumeration: Številčenje
+ Name: Ime
+ \n: false
+ ' ': false
+ ', ': true
+ def `commit`:
+ items: false
+ Cluster: Gruča
+ C{i + 1}: true
+ Other: Drugo
+ cluster: Gruča
+ def `save_state`:
+ version: false
+ selection_state: false
+ def `set_restore_state`:
+ selection_state: false
+ def `send_report`:
+ manual: ročno
+ at {:.1f} of height: pri {:.1f} višine
+ top {self.top_n} {pl(self.top_n, 'cluster')}: {plsi(self.top_n, 'vrhnja|vrhnji|vrhnje|vrhnjih')} {self.top_n} {plsi(self.top_n, 'gruča')}
+ Linkage: Razdalja med gručami
+ Annotation: Oznake
+ Pruning: Rezanje
+ {} levels: {} nivojev
+ Selection: Izbor
+ def `migrate_context`:
+ annotation: false
+ None: false
+ def `main`:
+ iris: false
+ __main__: false
+widgets/unsupervised/owkmeans.py:
+ class `ClusterTableModel`:
+ def `data`:
+ {:.3f}: false
+ NA: NN
+ class `OWKMeans`:
+ k-Means: K gruč
+ 'k-Means clustering algorithm with silhouette-based ': Gručenje v k gruč in izbor s silhueto.
+ quality estimation.: ""
+ icons/KMeans-symbolic.svg: false
+ k-means, kmeans, clustering: k-means, kmeans, clustering, gručenje
+ class `Inputs`:
+ Data: Podatki
+ class `Outputs`:
+ Annotated Data: Označeni podatki
+ Centroids: Centroidi
+ class `Error`:
+ 'Clustering failed\nError: {}': Gručenje ni uspelo.\nNapaka: {}
+ Too few ({}) unique data instances for {} clusters: Premalo ({}) neponovljenih primerov za {} gruč.
+ Data is missing features.: Podatki nimajo spremenljivk.
+ class `Warning`:
+ Silhouette scores are not computed for >{} samples: Silhuet za več kot {} primerov ne računam.
+ Too few ({}) unique data instances for {} clusters: Premalo ({}) neponovljenih primerov za {} gruč.
+ Sparse data cannot be normalized: Redkih podatkov ni možno normirati.
+ Initialize with KMeans++: Začni s KMeans++
+ k-means++: false
+ Random initialization: Začni naključno
+ random: false
+ def `migrate_settings`:
+ auto_apply: false
+ auto_commit: false
+ def `__init__`:
+ optimize_k: false
+ Number of Clusters: Število gruč
+ Fixed:: Določeno:
+ k: false
+ From: Od
+ k_from: false
+ to: do
+ k_to: false
+ Preprocessing: Predprocesiranje
+ normalize: false
+ Normalize columns: Normiraj stolpce
+ Initialization: Postopek
+ smart_init: false
+ 'Re-runs: ': Število ponovitev
+ n_init: false
+ 'Maximum iterations: ': 'Največje število korakov: '
+ max_iterations: false
+ Silhouette Scores: Silhuete
+ auto_commit: false
+ def `send_data`:
+ Cluster: Gruča
+ C%d: G%d
+ Silhouette: Silhuete
+ centroids: centroidi
+ {self.data.name} centroids: centroidi {self.data.name}
+ def `send_report`:
+ Number of clusters: Število gruč
+ Optimization: Optimizacija
+ {}, {} re-runs limited to {} steps: {}, {} ponovitev, omejenih na {} korakov
+ Data: Podatki
+ Silhouette scores for different numbers of clusters: Silhuete za različno število gruč
+ __main__: false
+ heart_disease: false
+widgets/unsupervised/owlouvainclustering.py:
+ Euclidean: Evklidska
+ l2: false
+ Manhattan: Manhattanska
+ l1: false
+ Cosine: Kosinusna
+ cosine: false
+ class `OWLouvainClustering`:
+ Louvain Clustering: Louvainsko gručenje
+ Detects communities in a network of nearest neighbors.: Poišče zgostitve v mreži najbližjih sosedov.
+ icons/LouvainClustering-symbolic.svg: false
+ community: community, gručenje, clustering
+ class `Inputs`:
+ Data: Podatki
+ class `Outputs`:
+ Network: Mreža
+ class `Information`:
+ Press Apply to recompute clusters and send new data: Pritisnite Uveljavi za izračun novih gruč in pošiljanje podatkov
+ class `Error`:
+ No features in data: Podatki ne vsebujejo spremenljivk
+ def `__init__`:
+ Info: Info
+ No data on input.: Ni podatkov na vhodu
+ Preprocessing: Predprocesiranje
+ normalize: false
+ Normalize data: Normiraj podatke
+ apply_pca: false
+ Apply PCA preprocessing: Predprocesiraj s PCA
+ pca_components: false
+ 'PCA Components: ': Število komponent
+ Graph parameters: Parametri mreže
+ metric_idx: false
+ Distance metric: Mera razdalje
+ k_neighbors: false
+ k neighbors: Število sosedov
+ resolution: false
+ Resolution: Ločljivost
+ %.1f: false
+ 'The resolution parameter affects the number of clusters to find. ': Ločljivost vpliva na število najdenih gruč.
+ 'Smaller values tend to produce more clusters and larger values ': Manjša ločljivost običajno vodi v več gruč, večja ločljivost pa v manj.
+ retrieve less clusters.: ""
+ auto_commit: false
+ def `commit`:
+ Running...: Tečem...
+ def `__set_partial_results`:
+ pca_projection: false
+ graph: false
+ partition: false
+ def `__set_results`:
+ {num_clusters} {pl(num_clusters, 'cluster')} found.: {plsi(num_clusters, 'Najdena|Najdeni|Najdene|Najdenih')} {z_besedo(num_clusters, 1, 'f')} {plsi(num_clusters, 'gruča')}.
+ def `_send_data`:
+ Cluster: Gruča
+ C%d: G%d
+ def `set_data`:
+ Clustering not yet run.: Gručenje še ni steklo.
+ def `clear`:
+ No data on input.: Ni podatkov na vhodu.
+ def `send_report`:
+ , {self.pca_components} {pl(self.pca_components, 'component')}: , {self.pca_components} {plsi(self.pca_components, 'komponenta')}
+ Normalize data: Normiranje podatkov
+ PCA preprocessing: Predprocesiranje s PCA
+ Metric: Mera razdalje
+ k neighbors: Število sosedov
+ Resolution: Ločljivost
+ def `migrate_settings`:
+ context_settings: false
+ apply_pca: false
+ k_neighbors: false
+ metric_idx: false
+ normalize: false
+ pca_components: false
+ resolution: false
+ def `run_on_data`:
+ Computing PCA...: Računam PCA...
+ pca_projection: false
+ Building graph...: Sestavljam mrežo...
+ graph: false
+ Detecting communities...: Iščem zgostitve...
+ partition: false
+ def `run_on_graph`:
+ Detecting communities...: Iščem zgostitve...
+ partition: false
+ __main__: false
+ iris: false
+widgets/unsupervised/owmanifoldlearning.py:
+ class `ManifoldParametersEditor`:
+ def `_create_spin_parameter`:
+ 0: false
+ def `_create_combo_parameter`:
+ _values: false
+ _index: false
+ def `__combo_parameter_update`:
+ _index: false
+ _values: false
+ def `_create_radio_parameter`:
+ _values: false
+ _index: false
+ def `__radio_parameter_update`:
+ _index: false
+ _values: false
+ class `TSNEParametersEditor`:
+ euclidean: false
+ manhattan: false
+ chebyshev: false
+ jaccard: false
+ Euclidean: Evklidska
+ Manhattan: Manhattanska
+ Chebyshev: Čebiševa
+ Jaccard: Jaccardova
+ pca: false
+ PCA: true
+ random: false
+ Random: Naključno
+ def `__init__`:
+ metric: false
+ Metric:: Metrika:
+ perplexity: false
+ Perplexity:: Zmedenost (perplexity):
+ early_exaggeration: false
+ Early exaggeration:: Zgodnje pretiravanje (exaggeration):
+ learning_rate: false
+ Learning rate:: Hitrost učenja:
+ n_iter: false
+ Max iterations:: Največje število ponovitev:
+ initialization: false
+ Initialization:: Uporabi:
+ def `get_report_parameters`:
+ Metric: Metrika
+ metric: false
+ Perplexity: Zmedenost (perplexity)
+ perplexity: false
+ Early exaggeration: Zgodnje pretiravanje (exaggeration)
+ early_exaggeration: false
+ Learning rate: Hitrost učenja
+ learning_rate: false
+ Max iterations: Največje število ponovitev
+ n_iter: false
+ Initialization: Uporabi
+ initialization: false
+ class `MDSParametersEditor`:
+ PCA: false
+ PCA (Torgerson): true
+ random: false
+ Random: Naključno
+ def `__init__`:
+ max_iter: false
+ Max iterations:: Največje število ponovitev:
+ init_type: false
+ Initialization:: Uporabi:
+ def `get_parameters`:
+ n_init: false
+ def `get_report_parameters`:
+ Max iterations: Največje število ponovitev
+ max_iter: false
+ Initialization: Uporabi
+ init_type: false
+ class `IsomapParametersEditor`:
+ def `__init__`:
+ n_neighbors: false
+ Neighbors:: Sosedi:
+ def `get_report_parameters`:
+ Neighbors: Sosedi
+ n_neighbors: false
+ class `LocallyLinearEmbeddingParametersEditor`:
+ standard: false
+ Standard: Standardno
+ modified: false
+ Modified: Modificirano
+ hessian: false
+ Hessian eigenmap: Hessijev lastni zemljevid
+ ltsa: false
+ Local: Lokalno
+ def `__init__`:
+ method: false
+ Method:: Metoda:
+ n_neighbors: false
+ Neighbors:: Sosedi:
+ max_iter: false
+ Max iterations:: Največje število ponovitev:
+ def `get_report_parameters`:
+ Method: Metoda
+ method: false
+ Neighbors: Sosedi
+ n_neighbors: false
+ Max iterations: Največje število ponovitev
+ max_iter: false
+ class `SpectralEmbeddingParametersEditor`:
+ nearest_neighbors: false
+ Nearest neighbors: Najbližji sosedje
+ rbf: false
+ RBF kernel: Jedro RBF
+ def `__init__`:
+ affinity: false
+ Affinity:: Povezanost:
+ def `get_report_parameters`:
+ Affinity: Povezanost
+ affinity: false
+ class `OWManifoldLearning`:
+ Manifold Learning: Večplastno učenje
+ Nonlinear dimensionality reduction.: Nelinearno zmanjšanje dimenzionalnosti.
+ icons/Manifold-symbolic.svg: false
+ manifold learning: manifold learning
+ class `Inputs`:
+ Data: Podatki
+ class `Outputs`:
+ Transformed Data: Spremenjeni podatki
+ Transformed data: Spremenjeni podatki
+ class `Error`:
+ 'For chosen method and components, ': 'Za izbrano metodo in komponente '
+ neighbors must be greater than {}: morajo biti sosedje večji od {}
+ {}: false
+ Sparse data is not supported.: Redki podatki niso podprti.
+ Out of memory: Premalo pomnilnika
+ class `Warning`:
+ Disconnected graph, embedding may not work: Graf je nepovezan, vložitev morda ne bo delovala.
+ Creating {} components\n: Računam {} komponent.\n
+ The number of components is limited by the number of variables.: Število komponent je omejeno s številom spremenljivk.
+ def `migrate_settings`:
+ tsne_editor: false
+ init_index: false
+ initialization_index: false
+ metric_index: false
+ def `__init__`:
+ Method: Metoda
+ manifold_method_index: false
+ Output: Izhod
+ n_components: false
+ Components:: Število komponent:
+ 0: false
+ def `commit`:
+ def `_handle_disconnected_graph_warning`:
+ Graph is not fully connected: Graf ni povsem povezan
+ "for method='hessian', n_neighbors ": false
+ must be greater than [n_components: false
+ ' * (n_components + 3) / 2]': false
+ def `_create_output_table`:
+ C{}: false
+ def `send_report`:
+ Method: Metoda
+ Number of components: Število komponent
+ Method parameters: Parametri metode
+ Data: Podatki
+ __main__: false
+ brown-selected: false
+widgets/unsupervised/owmds.py:
+ def `run_mds`:
+ Running...: Tečem...
+ precomputed: false
+ eps: false
+ class `OWMDSGraph`:
+ def `update_pairs`:
+ pairs: false
+ on: false
+ class `OWMDS`:
+ MDS: Večrazsežnostno lestvičenje
+ 'Two-dimensional data projection by multidimensional ': 'Dvodimenzionalna projekcija večdimenzionalnih podatkov, '
+ scaling constructed from a distance matrix.: ki poskuša ohraniti razdalje med primeri.
+ icons/MDS-symbolic.svg: false
+ mds, multidimensional scaling, multi dimensional scaling: mds, multidimensional scaling, multi dimensional scaling, večdimenzionalnost
+ class `Inputs`:
+ Distances: Razdalja
+ Every iteration: po vsakem koraku
+ Every 5 steps: vsakih pet korakov
+ Every 10 steps: vsakih deset korako
+ Every 25 steps: vsakih 25 korakov
+ Every 50 steps: vsakih 50 korakov
+ None: nikoli
+ mds-x: false
+ mds-y: false
+ class `Error`:
+ Input data needs at least 2 rows: Podatki morajo imeti vsaj dva primera.
+ Distance matrix is not symmetric: Matrika razdalj ni simetrična.
+ Input matrix must be at least 2x2: Matrika razdalj mora biti velika vsaj 2x2
+ Data has no attributes: Podatki nimajo spremenljivk
+ Data and distances dimensions do not match.: Podatki in matrika razdalj so različno veliki
+ Out of memory: Premalo pomnilnika
+ Error during optimization\n{}: Napaka med računanjem\n{}
+ def `__init__`:
+ Stress: Napetost
+ def `_add_controls`:
+ Show similar pairs:: Pokaži podobne pare:
+ connected_pairs: false
+ def `_add_controls_optimization`:
+ Optimize: Izračun
+ PCA: PCA
+ Randomize: Razmeči
+ Jitter: Potresi
+ Start: Začni
+ Refresh:: Izris:
+ refresh_rate: false
+ 'Kruskal Stress: -': Kruskalova napetost: -
+ def `_initialize`:
+ labels: false
+ def `init_attr_values`:
+ labels: false
+ def `_toggle_run`:
+ Resume: Nadaljuj
+ def `_run`:
+ Stop: Stoj
+ PCA: Pca
+ random: false
+ def `on_done`:
+ Start: Začni
+ def `update_stress`:
+ -: false
+ {self.stress:.3f}: false
+ 'Kruskal Stress: {stress_val}': Kruskalova napetost: {stress_val}
+ def `on_exception`:
+ Start: Začni
+ def `do_initialization`:
+ Start: Začni
+ def `get_size_data`:
+ Stress: Napetost
+ def `get_stress`:
+ euclidean: false
+ def `migrate_settings`:
+ label_only_selected: false
+ symbol_opacity: false
+ alpha_value: false
+ symbol_size: false
+ point_width: false
+ jitter: false
+ jitter_size: false
+ graph: false
+ auto_commit: false
+ autocommit: false
+ connected_pairs: false
+ def `migrate_context`:
+ color_value: false
+ attr_color: false
+ shape_value: false
+ attr_shape: false
+ size_value: false
+ attr_size: false
+ label_value: false
+ attr_label: false
+ Stress: false
+ graph: false
+ '
+
+': false
+ __main__: false
+ iris: false
+widgets/unsupervised/owpca.py:
+ component variance: varianca kompomente
+ cumulative variance: skupna varianca
+ class `OWPCA`:
+ PCA: PCA
+ Principal component analysis with a scree-diagram.: Analiza osnovnih komponent.
+ icons/PCA-symbolic.svg: false
+ pca, principal component analysis, linear transformation: pca, principal component analysis, linear transformation, osnovne komponente, linearna transformacija
+ class `Inputs`:
+ Data: Podatki
+ class `Outputs`:
+ Transformed Data: Spremenjeni podatki
+ Transformed data: Spremenjeni podatki
+ Data: Podatki
+ Components: Komponente
+ PCA: PCA
+ plot.plotItem: false
+ class `Warning`:
+ 'All components of the PCA are trivial (explain 0 variance). ': Vse komponente so trivialne
+ Input data is constant (or near constant).: Vhodni podatki so konstantni (ali skoraj konstantni)
+ class `Error`:
+ At least 1 feature is required: Potreben je vsaj en faktor.
+ At least 1 data instance is required: Tabela s podatki je prazna.
+ def `__init__`:
+ Components Selection: Izbor komponent
+ ncomponents: false
+ All: Vse
+ variance_covered: false
+ %: true
+ Components:: Komponente:
+ Explained variance:: Razložena varianca:
+ Options: Opcije
+ normalize: false
+ Normalize variables: Normiraj spremenljivke
+ maxp: false
+ Show only first: Pokaži le prvih
+ auto_commit: false
+ Principal Components: Osnovne komponente
+ Proportion of variance: Delež variance
+ def `set_data`:
+ Data has been sampled: Podatki so bili vzorčeni
+ def `_update_axis`:
+ bottom: false
+ def `commit`:
+ variance: false
+ components: komponente
+ PC{i + 1}: Komp{i + 1}
+ def `send_report`:
+ Normalize data: Normiranje podatkov
+ Selected components: Število komponent
+ Explained variance: Razložena varianca
+ {self.variance_covered:.3f} %: false
+ def `migrate_settings`:
+ variance_covered: false
+ ncomponents: false
+ decomposition_idx: false
+ batch_size: false
+ address: false
+ auto_update: false
+ __main__: false
+ housing: false
+widgets/unsupervised/owsavedistances.py:
+ class `OWSaveDistances`:
+ Save Distance Matrix: Shrani matriko razdalj
+ Save distance matrix to an output file.: Shrani matriko razdalj v datoteko.
+ icons/SaveDistances-symbolic.svg: false
+ save distance matrix, distance matrix, save: save distance matrix, distance matrix, matrika, razdalje
+ Excel File (*.xlsx): Excelova datoteka (*.xlsx)
+ Distance File (*.dst): Datoteka razdalj (*.dst)
+ class `Warning`:
+ Associated data was not saved.: Pripeta tabela podatkov ni shranjena.
+ Data associated with {} was not saved.: Podatki o {} niso shranjeni.
+ class `Inputs`:
+ Distances: Razdalje
+ def `do_save`:
+ columns: stolpcih
+ rows: vrsticah
+ def `send_report`:
+ Input: Vhod
+ none: brez
+ File name: Ime datoteke
+ not set: ni nastavljeno
+ def `_description`:
+ ' and ': ' in '
+ row: vrstic
+ column: stolpcev
+ ; {labels} labels: ; oznake {labels}
+ {len(dist)}-dimensional matrix{labels}: {len(dist)}-dimenzionalna matrika{labels}
+ __main__: false
+ iris: false
+widgets/unsupervised/owsom.py:
+ class `SomSharedValueCompute`:
+ def `__getstate__`:
+ __hash: false
+ class `OWSOM`:
+ Self-Organizing Map: SOM
+ Computation of self-organizing map.: Samodejni zemljevid.
+ icons/SOM-symbolic.svg: false
+ self-organizing map, som: self-organizing map, som, samodejni zemljevid
+ class `Inputs`:
+ Data: Podatki
+ class `Outputs`:
+ Selected Data: Izbrani podatki
+ view: false
+ OptControls: false
+ shape: false
+ auto_dim: false
+ spin_x: false
+ spin_y: false
+ initialization: false
+ start: false
+ class `Information`:
+ 'The parameter settings have been changed. Press "Start" to ': 'Parametri so bili spremenjeni. Pritisnite "Začni", da '
+ rerun with the new settings.: zaženete z novimi nastavitvami.
+ class `Warning`:
+ SOM ignores categorical variables.: SOM ne upošteva kategoričnih spremenljivk.
+ Some data instances have undefined value of '{}'.: Nekatere vrstice imajo neznane vrednosti '{}'.
+ "'{}' has no defined values.": "'{}' ima neznane vrednosti."
+ {}: false
+ Data contains a single numeric column.: Podatki imajo le eno številsko spremenljivko.
+ class `Error`:
+ Data contains no numeric columns.: Podatki nimajo številskih spremenljivk.
+ SOM needs at least two data rows without missing values.: SOM potrebuje vsaj dva primera brez neznanih vrednosti.
+ def `__init__`:
+ SOM: SOM
+ Hexagonal grid: Šestkotna mreža
+ Square grid: Pravokotna mreža
+ auto_dimension: false
+ Set dimensions automatically: Samodejno nastavi velikost mreže
+ ×: false
+ initialization: false
+ Initialize with PCA: Uporabi PCA
+ Random initialization: Naključni razpored
+ Replicable random: Ponovljivo naključje
+ Restart: Ponovno poženi
+ Color: Barva
+ attr_color: false
+ (Same color): (Enobarvno)
+ pie_charts: false
+ Show pie charts: Pokaži tortne diagrame
+ size_by_instances: false
+ Size by number of instances: Velikost odraža število primerov
+ def `set_data`:
+ def `set_warnings`:
+ {missing} data {pl(missing, "instance")} with undefined value(s) {pl(missing, "is|are")} not shown.: {missing} {plsi(missing, "primer")} z neznanimi vrednostmi {pl(missing, "ni prikazan|nista prikazana|niso prikazani|ni prikazanih")}.
+ def `enable_controls`:
+ Start: Začni
+ Stop: Stoj
+ def `_draw_same_color`:
+ {n} instances: {n} {plsi(n, "primer")}
+ def `_get_color_column`:
+ ignore: false
+ def `_tooltip`:
+ (N/A): (NN)
+ \N{NON-BREAKING HYPHEN}: false
+ '
': false
+ '
+
+ |
+ ■
+ {escape(val).replace("-", nbhp)}:
+ |
+
+ {n} ({n / tot * 100:.1f} %)
+ |
+
+ ': false
+
: false
+ def `update_output`:
+ som_cell: false
+ r{row + 1}c{col + 1}: false
+ som_row: false
+ som_col: false
+ som_error: false
+ Unselected: Neizbrani
+ No: Ne
+ Yes: Da
+ def `_bin_names`:
+ < {labels[0]}: true
+ {x} - {y}: true
+ ≥ {labels[-1]}: true
+ def `send_report`:
+ Self-organizing map colored by '{self.attr_color.name}': Samodejni zemljevid, pobarvan glede na '{self.attr_color.name}'
+ def `migrate_settings`:
+ selection: false
+ __main__: false
+ iris: false
+widgets/unsupervised/owtsne.py:
+ PCA: true
+ pca: false
+ Spectral: Spektralna
+ spectral: false
+ Euclidean: Evklidska
+ l2: false
+ Manhattan: Manhattan
+ l1: false
+ Cosine: Kosinusna
+ cosine: false
+ class `Task`:
+ def `validate`:
+ Task: false
+ Both `distance_matrix` and `data` cannot be `None`: false
+ precomputed: false
+ '`distance_metric` must be set to `precomputed` when using ': false
+ a distance matrix: false
+ spectral: false
+ '`initialization_method` must be set to `spectral` when ': false
+ using a distance matrix: false
+ '`distance_metric` cannot be set to `precomputed` when no ': false
+ distance matrix is provided: false
+ Data normalization is not supported for sparse data: false
+ class `TSNERunner`:
+ def `compute_tsne_preprocessing`:
+ Preprocessing data...: Predobdelujem podatke...
+ preprocessed_data: false
+ def `compute_normalization`:
+ Normalizing data...: Normaliziram podatke...
+ normalized_data: false
+ def `compute_pca`:
+ Computing PCA...: Računam PCA...
+ pca_projection: false
+ def `compute_initialization`:
+ Preparing initialization...: Pripravljam začetno stanje...
+ pca: false
+ spectral: false
+ Unrecognized initialization scheme `{task.initialization_method}`!: false
+ initialization: false
+ def `compute_affinities`:
+ Finding nearest neighbors...: Iščem najbližje sosede...
+ precomputed: false
+ affinities: false
+ def `compute_tsne`:
+ Running optimization...: Optimizacija teče...
+ precomputed: false
+ tsne_embedding: false
+ def `run_optimization`:
+ tsne_embedding: false
+ def `run`:
+ preprocessing: false
+ normalization: false
+ pca: false
+ init: false
+ aff: false
+ tsne: false
+ precomputed: false
+ class `invalidated`:
+ def `__str__`:
+ %s(%s): false
+ ', ': false
+ =: false
+ preprocessed_data: false
+ normalized_data: false
+ pca_projection: false
+ initialization: false
+ affinities: false
+ tsne_embedding: false
+ class `OWtSNE`:
+ t-SNE: false
+ Two-dimensional data projection with t-SNE.: Dvodimenzionalna projekcija podatkov s t-SNE.
+ icons/TSNE-symbolic.svg: false
+ t-sne, tsne: tsne, projekcija podatkov
+ t-SNE-x: false
+ t-SNE-y: false
+ class `Inputs`:
+ Distances: Razdalje
+ class `Information`:
+ 'The parameter settings have been changed. Press ': 'Parametri so spremenjeni. Pritisnite '
+ \"Start\" to rerun with the new settings.: '"Začni" za ponovni izračun.'
+ class `Warning`:
+ The input data contains a large number of features, which may slow: Vhodni podatki vsebujejo veliko spremeljivk, kar lahko upočasni
+ ' down t-SNE computation. Consider enabling PCA preprocessing.': ' t-SNE. Priporočamo predobdelavo s PCA.'
+ class `Error`:
+ Input data needs at least 2 rows: Podatki morajo vsebovati vsaj dva primera.
+ Input data needs at least 2 attributes: Podatki morajo vsebovati vsaj dve spremenljivki.
+ Input data is constant: Podatki so konstantni.
+ No projection due to no valid data: Ni veljavnih podatkov - ni projekcije.
+ Distance matrix is not symmetric: Matrika razdalj ni simetrična.
+ Input matrix must be at least 2x2: Matrika mora biti vsaj 2x2.
+ Data and distance dimensions do not match: Dimenzije podatkov in razdalj se ne ujemajo.
+ def `_add_controls_start_box`:
+ Preprocessing: Predobdelava
+ normalize: false
+ Normalize data: Normiraj podatke
+ use_pca_preprocessing: false
+ Apply PCA preprocessing: Uporabi predobdelavo s PCA
+ pca_components: false
+ PCA Components:: Komponente PCA:
+ Parameters: Parametri
+ initialization_method_idx: false
+ Initialization:: Začetno stanje:
+ distance_metric_idx: false
+ Distance metric:: Mera razdalje:
+ perplexity: false
+ Perplexity:: Zmedenost (perplexity):
+ multiscale: false
+ Preserve global structure: Ohrani globalni razpored:
+ exaggeration: false
+ %.2f: false
+ Exaggeration:: Pretiravanje (exaggeration):
+ Start: Začni
+ def `_stop_running_task`:
+ Start: Začni
+ def `check_data`:
+ ignore: false
+ Degrees of freedom .*: false
+ def `_toggle_run`:
+ Resume: Nadaljuj
+ def `enable_controls`:
+ Precomputed distances provided. Preprocessing is unnecessary!: Kadar so na voljo predizračunane razdalje, predobdelava ni potrebna.
+ Spectral: Spektralna
+ 'Only spectral intialization is supported with precomputed ': 'Kadar uporabljamo predizračunane razdalje, je na voljo le spektralna '
+ distance matrices.: inicializacija.
+ Precomputed distances provided.: Na voljo so predizračunane razdalje.
+ Data normalization is not supported on sparse matrices.: Normalizacija redkih podatkov ni podprta.
+ def `run`:
+ Stop: Prekini
+ precomputed: false
+ spectral: false
+ def `__ensure_task_same_for_preprocessing`:
+ precomputed: false
+ def `__ensure_task_same_for_normalization`:
+ precomputed: false
+ def `__ensure_task_same_for_pca`:
+ precomputed: false
+ def `__ensure_task_same_for_affinities`:
+ precomputed: false
+ def `on_partial_result`:
+ preprocessed_data: false
+ normalized_data: false
+ pca_projection: false
+ initialization: false
+ affinities: false
+ tsne_embedding: false
+ Unrecognized partial result called with `%s`: false
+ def `on_done`:
+ Start: Začni
+ def `cancel`:
+ Start: Začni
+ def `migrate_settings`:
+ selection_indices: false
+ selection: false
+ max_iter: false
+ def `migrate_context`:
+ attr_color: false
+ graph: false
+ attr_size: false
+ attr_shape: false
+ attr_label: false
+ __main__: false
+ iris: false
+widgets/utils/PDFExporter.py:
+ PDFExporter: false
+widgets/utils/SVGExporter.py:
+ SVGExporter: false
+widgets/utils/__init__.py:
+ def `to_html`:
+ <=: false
+ ≤: false
+ >=: false
+ ≥: false
+ <: false
+ <: false
+ >: false
+ >: false
+ =\\=: false
+ ≠: false
+ def `dumpObjectTree`:
+ QObject: false
+ {indent}{type} "{name}": false
+ ' ': false
+ def `qname`:
+ {0.__module__}.{0.__qualname__}: false
+ _T1: false
+ _E: false
+ _A: false
+ _B: false
+ def `instance_tooltip`:
+ def `show_part`:
+ {} = {}: false
+ ... and {n_vars - max_shown + 1} others: ... in še {n_vars - max_shown + 1} {plsi(n_vars - max_shown + 1, "spremenljivka|spremenljivki|druge spremenljivke|drugih spremenljivk")}
+
{}:
: false
+
: false
+ Class: Razred
+ Classes: Razredi
+ Meta: Meta
+ Metas: Meta
+ Feature: Spremenljivka
+ Features: Spremenljivke
+
: false
+widgets/utils/annotated_data.py:
+ Data: Podatki
+ Selected: Izbrani podatki
+ def `domain_with_annotation_column`:
+ No: Ne
+ Yes: Da
+ def `create_annotated_table`:
+ No: Ne
+ Yes: Da
+ def `group_values`:
+ G{}: true
+ Unselected: Neizbrani
+widgets/utils/buttons.py:
+ VariableTextPushButton: false
+ SimpleButton: false
+ FixedSizeButton: false
+ def `tooltip_with_shortcut`:
+
{}: false
+
{}: false
+ : false
+widgets/utils/classdensity.py:
+ def `compute_density`:
+ C_CONTIGUOUS: false
+widgets/utils/colorgradientselection.py:
+ class `ColorGradientSelection`:
+ def `__init__`:
+ gradient-combo-box: false
+ Low gradient threshold: Spodnja meja gradienta
+ 'Applying a low threshold will squeeze the ': 'Določa vrednost, pri kateri se začne '
+ gradient from the lower end: barva spreminjati
+ Range:: Razpon:
+ def `__update_center_visibility`:
+ Center at:: Središče v:
+widgets/utils/colorpalettes.py:
+ Palette: false
+ IndexedPalette: false
+ DiscretePalette: false
+ LimitedDiscretePalette: false
+ DiscretePalettes: false
+ DefaultDiscretePalette: false
+ DefaultDiscretePaletteName: false
+ HuePalette: false
+ DefaultRGBColors: false
+ Dark2Colors: false
+ Glasbey: false
+ ContinuousPalette: false
+ ContinuousPalettes: false
+ BinnedContinuousPalette: false
+ DefaultContinuousPalette: false
+ DefaultContinuousPaletteName: false
+ ColorIcon: false
+ get_default_curve_colors: false
+ patch_variable_colors: false
+ NAN_COLOR: false
+ class `Palette`:
+ PaletteFlags: false
+ Palette.Flags: false
+ def `__init__`:
+ _: false
+ class `DiscretePalette`:
+ def `from_colors`:
+ Custom: Paleta
+ class `LimitedDiscretePalette`:
+ def `__init__`:
+ "LimitedDiscretePalette: argument 'force_hsv' is deprecated; ": false
+ use 'force_glasbey' instead: false
+ custom: false
+ class `HuePalette`:
+ def `__init__`:
+ custom: false
+ class `ContinuousPalette`:
+ def `from_colors`:
+ Custom: Paleta
+ class `BinnedContinuousPalette`:
+ def `from_palette`:
+ can't create palette from '{type(palette).__name__}': false
+ Default: Privzeta
+ Dark: Temna
+ default: false
+ dark: false
+ glasbey: false
+ linear_bgyw_20_98_c66: false
+ Blue-Green-Yellow: Modra-Zelena-Rumena
+ linear_bmy_10_95_c78: false
+ Blue-Magenta-Yellow: Modra-Vijolična-Rumena
+ linear_grey_10_95_c0: false
+ Dim gray: Temno siva
+ linear_inferno: false
+ Inferno: true
+ linear_viridis: false
+ Viridis: true
+ diverging_bwr_40_95_c42: false
+ Coolwarm: Hladno-topla
+ diverging_gkr_60_10_c40: false
+ Green-Red: Zelena-Rdeča
+ diverging_protanopic_deuteranopic_bwy_60_95_c32: false
+ Diverging protanopic: Divergentna protanopična
+ Color-blind friendly: Prijazna do barvno slepih
+ diverging_tritanopic_cwr_75_98_c20: false
+ Diverging tritanopic: Divergentna triptanopična
+ linear_protanopic_deuteranopic_kbw_5_98_c40: false
+ Linear protanopic: Linearna protanopična
+ linear_tritanopic_krjcw_5_95_c24: false
+ Linear tritanopic: Linearna tritanopična
+ isoluminant_cgo_80_c38: false
+ Isoluminant: Enako svetla
+ Other: Druge
+ rainbow_bgyr_35_85_c73: false
+ Rainbow: Mavrica
+ def `patch_variable_colors`:
+ def `set_colors`:
+ palette: false
+ def `continuous_set_colors`:
+ colors: false
+ def `set_palette`:
+ palette: false
+ colors: false
+ def `continuous_get_colors`:
+ 'ContinuousVariable.color is deprecated; ': false
+ use ContinuousVariable.palette: false
+ colors: false
+ palette: false
+ def `continuous_get_palette`:
+ palette: false
+ colors: false
+ def `discrete_get_colors`:
+ def `retrieve_colors`:
+ palette: false
+ colors: false
+ def `discrete_set_colors`:
+ colors: false
+ def `discrete_get_palette`:
+ palette: false
+ colors: false
+widgets/utils/combobox.py:
+ ComboBoxSearch: false
+ ComboBox: false
+ ItemStyledComboBox: false
+ TextEditCombo: false
+ class `ItemStyledComboBox`:
+ def `initStyleOption`:
+ QStyleOptionComboBox: false
+ class `TextEditCombo`:
+ def `__init__`:
+ editable: false
+ activated: false
+widgets/utils/concurrent.py:
+ FutureWatcher: false
+ FutureSetWatcher: false
+ methodinvoke: false
+ TaskState: false
+ ConcurrentMixin: false
+ ConcurrentWidgetMixin: false
+ PyOwned: false
+ class `_TaskDepotThread`:
+ def `__new__`:
+ Already exists: false
+ class `_TaskRunnable`:
+ def `run`:
+ transfer: false
+ class `FutureRunnable`:
+ def `run`:
+ Exception in worker thread.: false
+ class `ThreadExecutor`:
+ def `__init__`:
+ Invalid `threadPool` type '{}': false
+ def `submit`:
+ 'Cannot schedule new futures after ': false
+ shutdown.: false
+ Use `submit_task` to run `Task`s: false
+ def `submit_task`:
+ `submit_task` will be deprecated: false
+ 'Cannot schedule new futures after ': false
+ shutdown.: false
+ def `__make_task_runnable`:
+ "Can only submit Tasks from it's own ": false
+ thread.: false
+ Can not submit Tasks with a parent.: false
+ class `Task`:
+ def `__init__`:
+ `Task` has been deprecated: false
+ def `_execute`:
+ Exception in Task: false
+ class `ConcurrentMixin`:
+ def `start`:
+ `task` must be callable!: false
+ def `_on_task_done`:
+ 'Starting new task from ': false
+ {'on_done' if ex is None else 'on_exception'} is forbidden: false
+widgets/utils/datacaching.py:
+ def `getCached`:
+ __data_cache: false
+ def `setCached`:
+ __data_cache: false
+ def `delCached`:
+ __data_cache: false
+widgets/utils/dendrogram.py:
+ DendrogramWidget: false
+ Point: false
+ x: false
+ y: false
+ Element: false
+ anchor: false
+ path: false
+ class `DendrogramWidget`:
+ def `_create_label`:
+ C{i + 1}: false
+widgets/utils/distmatrixmodel.py:
+ class `DistMatrixModel`:
+ diverging_tritanopic_cwr_75_98_c20: false
+widgets/utils/domaineditor.py:
+ class `VarTableModel`:
+ feature: spremenljivka
+ target: ciljna
+ meta: meta
+ skip: izpusti
+ categorical: kategorična
+ numeric: številska
+ text: besedilna
+ datetime: časovna
+ def `headerData`:
+ Name: Ime
+ Type: Vrsta
+ Role: Vloga
+ Values: Vrednosti
+ class `VarTypeDelegate`:
+ def `setEditorData`:
+ numeric: številska
+ datetime: časovna
+ class `DomainEditor`:
+ def `_is_missing`:
+ nan: true
+ def `parse_domain`:
+ def `discrete_value_display`:
+ ', ': false
+ , ...: false
+widgets/utils/encodings.py:
+ utf-8: false
+ utf-16: false
+ utf-32: false
+ iso8859-1: false
+ cp1252: false
+ iso8859-2: false
+ cp1250: false
+ shift_jis: false
+ iso2022_jp: false
+ gb18030: false
+ euc_kr: false
+ Unicode (UTF-8): false
+ Unicode (UTF-16): false
+ utf-16-le: false
+ Unicode (UTF-16LE): false
+ utf-16-be: false
+ Unicode (UTF-16BE): false
+ Unicode (UTF-32): false
+ utf-32-le: false
+ Unicode (UTF-32LE): false
+ utf-32-be: false
+ Unicode (UTF-32BE): false
+ utf-7: false
+ Unicode (UTF-7): false
+ ascii: false
+ English (US-ASCII): false
+ Western Europe (ISO Latin 1): false
+ iso8859-15: false
+ Western Europe (ISO-8859-15): false
+ Western Europe (Windows-1252): false
+ mac_roman: false
+ Western Europe (Mac OS Roman): false
+ Central and Eastern Europe (ISO Latin 2): false
+ Central and Eastern Europe (Windows-1250): false
+ mac_latin2: false
+ Central and Eastern Europe (Mac Latin-2): false
+ iso8859-3: false
+ Esperanto, Maltese (ISO Latin 3): false
+ iso8859-4: false
+ Baltic Languages (ISO Latin 4): false
+ cp1257: false
+ Baltic Languages (Windows-1257): false
+ iso8859-13: false
+ Baltic Languages (ISO-8859-13): false
+ iso8859-16: false
+ South-Eastern Europe (ISO-8859-16): false
+ iso8859-5: false
+ Cyrillic (ISO-8859-5): false
+ cp1251: false
+ Cyrillic (Windows-1251): false
+ mac_cyrillic: false
+ Cyrillic (Mac OS Cyrillic): false
+ koi8-r: false
+ Cyrillic (KOI8-R): false
+ koi8-u: false
+ Cyrillic (KOI8-U): false
+ iso8859-14: false
+ Celtic Languages (ISO-8859-14): false
+ iso8859-10: false
+ Nordic Languages (ISO-8859-10): false
+ mac_iceland: false
+ Icelandic (Mac Iceland): false
+ iso8859-7: false
+ Greek (ISO-8859-7): false
+ cp1253: false
+ Greek (Windows-1253): false
+ mac_greek: false
+ Greek (Mac Greek): false
+ iso8859-8: false
+ Hebrew (ISO-8859-8): false
+ cp1255: false
+ Hebrew (Windows-1255): false
+ iso8859-6: false
+ Arabic (ISO-8859-6): false
+ cp1256: false
+ Arabic (Windows-1256): false
+ iso8859-9: false
+ Turkish (ISO-8859-9): false
+ cp1254: false
+ Turkish (Windows-1254): false
+ mac_turkish: false
+ Turkish (Mac Turkish): false
+ iso8859-11: false
+ Thai (ISO-8859-11): false
+ Japanese (ISO-2022-JP): false
+ iso2022_jp_1: false
+ Japanese (ISO-2022-JP-1): false
+ iso2022_jp_2: false
+ Japanese (ISO-2022-JP-2): false
+ iso2022_jp_2004: false
+ Japanese (ISO-2022-JP-2004): false
+ iso2022_jp_3: false
+ Japanese (ISO-2022-JP-3): false
+ Japanese (Shift JIS): false
+ shift_jis_2004: false
+ Japanese (Shift JIS 2004): false
+ euc_jp: false
+ Japanese (EUC-JP): false
+ iso2022_kr: false
+ Korean (ISO-2022-KR): false
+ Korean (EUC-KR): false
+ gb2312: false
+ Simplified Chinese (GB 2312): false
+ gbk: false
+ Chinese (GBK): false
+ Chinese (GB 18030): false
+ big5: false
+ Traditional Chinese (BIG5): false
+ big5hkscs: false
+ Traditional Chinese (BIG5-HKSC): false
+ cp1258: false
+ Vietnamese (Windows-1258): false
+ koi8-t: false
+ Tajik (KOI8-T): false
+ class `SelectEncodingsWidget`:
+ def `__init__`:
+ -top-heading-text: false
+ Select all: Izberi vse
+ '#selected-text-encodings': false
+ def `encodings_model`:
+ '; ': false
+ def `main`:
+ Select encodings visible in text encoding menus: Izberi kodiranja, ki bodo na voljo v menuju
+ __main__: false
+widgets/utils/filedialogs.py:
+ open_filename_dialog_save: false
+ open_filename_dialog: false
+ RecentPath: false
+ RecentPathsWidgetMixin: false
+ RecentPathsWComboMixin: false
+ stored_recent_paths_prepend: false
+ OWUrlDropBase: false
+ def `dialog_formats`:
+ All readable files ({});;: Vse berljive datoteke ({});;
+ *: false
+ ' *': false
+ ;;: false
+ {} (*{}): false
+ def `get_stored_default_recent_paths`:
+ recent_paths: false
+widgets/utils/graphicslayoutitem.py:
+ SimpleLayoutItem: false
+ scaled: false
+ class `SimpleLayoutItem`:
+ __anchorThis: false
+ __anchorItem: false
+ item: false
+ __resizeContents: false
+ __aspectMode: false
+ __transform: false
+ __scale: false
+ def `__init__`:
+ sizePolicy: false
+widgets/utils/graphicsscene.py:
+ GraphicsScene: false
+ graphicsscene_help_event: false
+widgets/utils/graphicstextlist.py:
+ TextListWidget: false
+ class `_FuncArray`:
+ func: false
+ length: false
+ class `TextListBase`:
+ def `__init__`:
+ sizePolicy: false
+widgets/utils/graphicsview.py:
+ GraphicsWidgetView: false
+ class `GraphicsWidgetView`:
+ def `__init__`:
+ Zoom in: Povečaj
+ zoom-in-action: false
+ Zoom out: Zmanjšaj
+ zoom-out-action: false
+ Actual Size: Izvirna velikost
+ zoom-reset-action: false
+ Zoom to fit: Prilagodi oknu
+ zoom-to-fit-action: false
+ setShortcutVisibleInContextMenu: false
+ def `main`:
+ def `context`:
+ Aspect mode: false
+ Ignore: false
+ Keep: false
+ Keep by expanding: false
+ __main__: false
+widgets/utils/headerview.py:
+ class `HeaderView`:
+ def `__init__`:
+ QHeaderView: false
+ def `initStyleOptionForIndex`:
+ textElideMode: false
+widgets/utils/image.py:
+ def `qimage_from_array`:
+ Wrong number of channels (need 3 or 4, got {c}: false
+widgets/utils/intervalslider.py:
+ class `IntervalSlider`:
+ def `__init__`:
+ set{opt[0].upper()}{opt[1:]}: false
+ def `setOrientation`:
+ IntervalSlider supports only horizontal direction: false
+widgets/utils/itemdelegates.py:
+ class `FixedFormatNumericColumnDelegate`:
+ def `displayText`:
+ f: false
+ def `template`:
+ X: false
+ .: false
+ -: false
+ def `sizeHint`:
+ X: false
+widgets/utils/itemmodels.py:
+ PyListModel: false
+ VariableListModel: false
+ PyListModelTooltip: false
+ DomainModel: false
+ AbstractSortTableModel: false
+ PyTableModel: false
+ TableModel: false
+ ModelActionsWidget: false
+ ListSingleSelectionModel: false
+ select_row: false
+ select_rows: false
+ signal_blocking: false
+ create_list_model: false
+ def `_as_contiguous_range`:
+ Non-contiguous range.: false
+ class `AbstractSortTableModel`:
+ def `mapFromTableRows`:
+ Orange.widgets.utils.itemmodels.AbstractSortTableModel.mapFromSourceRows: false
+ def `mapToTableRows`:
+ Orange.widgets.utils.itemmodels.AbstractSortTableModel.mapToSourceRows: false
+ class `PyTableModel`:
+ def `data`:
+ {:.{}{}}: false
+ f: false
+ e: false
+ def `_check_sort_order`:
+ Can't modify PyTableModel when it's sorted: false
+ class `VariableListModel`:
+ application/x-Orange-VariableList: false
+ def `data`:
+ None: Brez
+ def `variable_labels_tooltip`:
+ %s = %s: false
+
Variable Labels:
:
Oznake spremenljivke:
+
: false
+ def `discrete_variable_tooltip`:
+ '
%sCategorical with %i values: ': '
%sKategorična, %i vrednost(i): '
+ ', ': false
+ %r: false
+ def `time_variable_toltip`:
+
%sTime:
%sČasovna
+ def `continuous_variable_toltip`:
+
%sNumeric:
%sŠtevilska
+ def `string_variable_tooltip`:
+
%sText:
%sBesedilna
+ class `DomainModel`:
+ def `prevent_modification`:
+ def `e`:
+ {} can be modified only by calling 'set_domain': false
+ <: false
+ <: false
+ >: false
+ >: false
+ class `TableModel`:
+ Column: false
+ var: false
+ role: false
+ background: false
+ format: false
+ Basket: false
+ vars: false
+ density: false
+ def `__init__`:
+ def `format_sparse`:
+ ', ': false
+ {}={}: false
+ def `format_sparse_bool`:
+ ', ': false
+ len(sourcedata) > 2 ** 31 - 1: false
+ def `columnSortKeyData`:
+ Orange.widgets.utils.itemmodels.TableModel.sortColumnData: false
+ def `headerData`:
+ {...}: false
+ def `_tooltip`:
+
%s: false
+
: false
+ %s = %s: false
+widgets/utils/listfilter.py:
+ class `VariablesListItemView`:
+ def `acceptsDropEvent`:
+ _items: false
+ class `VariableFilterProxyModel`:
+ def `filter_accepts_variable`:
+ ' ': false
+ %s=%s: false
+ def `variables_filter`:
+ def `update_completer_model`:
+ %s=%s: false
+ def `update_completer_prefix`:
+ ' ': false
+ Filter the list of available variables.: Filtriraj seznam spremenljivk, ki so na voljo
+ Filter: true
+widgets/utils/matplotlib_export.py:
+ scatterplot_code: false
+ scene_code: false
+widgets/utils/messages.py:
+ UnboundMsg: false
+ MessageGroup: false
+ MessagesMixin: false
+ WidgetMessagesMixin: false
+widgets/utils/multi_target.py:
+ Multiple targets are not supported.: Večrazredni problemi niso podprti.
+ def `check_multiple_targets_input`:
+ def `new_f`:
+ multiple_targets_data: false
+widgets/utils/overlay.py:
+ OverlayWidget: false
+ MessageWidget: false
+ MessageOverlayWidget: false
+widgets/utils/owbasesql.py:
+ class `OWBaseSql`:
+ class `Outputs`:
+ Data: Podatki
+ class `Error`:
+ {}: true
+ def `_setup_gui`:
+ Server: Strežnik
+ {}:{}: true
+ Database[/Schema]: Baza[/Shema]
+ Database or optionally Database/Schema: Baza ali, opcijsko, Baza/Shema
+ {}/{}: true
+ Username: Uporabniško ime
+ Password: Geslo
+ Connect: Poveži
+ def `_credential_manager`:
+ 'SQL Table: {}:{}': true
+ def `_parse_host_port`:
+ :: false
+ def `_check_db_settings`:
+ /: false
+ def `on_connection_success`:
+ Host: Strežnik
+ Port: Vrata
+ Database: Baza
+ User name: Uporabniško ime
+ def `on_connection_error`:
+ \n: true
+ def `send_report`:
+ No database connection.: Ni povezave z bazo.
+ Database: Baza
+ Data: Podatki
+widgets/utils/owlearnerwidget.py:
+ class `OWBaseLearnerMeta`:
+ def `__new__`:
+ def `abstract_widget`:
+ name: false
+ def `copy_outputs`:
+ Outputs: false
+ LEARNER: false
+ "'{}' must declare attribute LEARNER": false
+ class `OWBaseLearner`:
+ class `Error`:
+ {}: false
+ Fitting failed.\n{}: Učenje ni uspelo.\n{}
+ Sparse data is not supported.: Redki podatki niso podprti.
+ Out of memory.: Premalo pomnilnika.
+ class `Warning`:
+ Press Apply to submit changes.: Pritisnite Uveljavi za uveljavitev sprememb
+ class `Information`:
+ Ignoring default preprocessing.\n: Ignoriram privzete predprocesorje.\n
+ 'Default preprocessing, such as scaling, one-hot encoding and ': 'Privzeto predprocesiranje, kot je skaliranje, kodiranje z indikatorji in '
+ 'treatment of missing data, has been replaced with user-specified ': 'vstavljanje manjkajočih vrednosti, je zamenjano s predprocesorji, ki jih je '
+ 'preprocessors. Problems may occur if these are inadequate ': določil uporabnik. Če ti niso ustrezni za te podatke, bo modeliranje neuspešno.
+ for the given data.: ""
+ class `Inputs`:
+ Data: Podatki
+ Preprocessor: Predprocesor
+ class `Outputs`:
+ Learner: Učni algoritem
+ Model: Model
+ Classifier: Klasifikator
+ Predictor: Prediktor
+ def `__init__`:
+ unconditional_apply: false
+ def `set_data`:
+ Data contains multiple target variables.\n: Podatki vsebujejo več ciljnih spremenljivk.\n
+ Select a single one with the Select Columns widget.: Izberite eno od njih z gradnikom Izberi stolpce.
+ Data has no target variable.\n: Podatki nimajo ciljne spremenljivke.\n
+ Select one with the Select Columns widget.: Izberete jo lahko z gradnikom Izberi stolpce.
+ def `handleNewSignals`:
+ use_default_preprocessors: false
+ preprocessors: false
+ def `check_data`:
+ Dataset is empty.: Tabela primerov je prazna
+ Data contains a single target value.: Podatki vsebujejo eno samo ciljno vrednost.
+ Data has no features to learn from.: Poatki nimajo spremenljivk za učenje.
+ def `send_report`:
+ Name: Ime
+ Model parameters: Parametri modela
+ Data: Podatki
+ def `setup_layout`:
+ Classification: Klasifikacija
+ Regression: Regresija
+ def `add_learner_name_widget`:
+ learner_name: false
+ Name: Ime
+ The name will identify this model in other widgets: Ime, pod katerim je algoritem viden v sledečih gradnikih
+ def `get_widget_description`:
+ outputs: false
+ inputs: false
+widgets/utils/pathutils.py:
+ class `PathItem`:
+ def `from_dict`:
+ PathItem: false
+ type: false
+ AbsPath: false
+ path: false
+ VarPath: false
+ name: false
+ relpath: false
+ '{type_}: unknown type': false
+ AbsPath: false
+ VarPath: false
+ class `AbsPath`:
+ AbsPath: false
+ path: false
+ def `__new__`:
+ nt: false
+ /: false
+ def `as_dict`:
+ type: false
+ AbsPath: false
+ path: false
+ class `VarPath`:
+ VarPath: false
+ name: false
+ relpath: false
+ def `__new__`:
+ invalid relpath '{}': false
+ nt: false
+ /: false
+ def `as_dict`:
+ type: false
+ VarPath: false
+ name: false
+ relpath: false
+ def `prettyfypath`:
+ ~/: false
+ ~: false
+widgets/utils/progressbar.py:
+ ProgressBarMixin: false
+ def `_warn_deprecated_arg`:
+ "'processEvents' argument is deprecated.\n": false
+ 'It does nothing and will be removed in the future (passing it ': false
+ will raise a TypeError).: false
+widgets/utils/saveplot.py:
+ save_plot: false
+widgets/utils/settings.py:
+ _T: false
+ def `QSettings_readArray`:
+ def `normalize_spec`:
+ len(spec) != 2: false
+widgets/utils/signals.py:
+ Input: false
+ Output: false
+ InputSignal: false
+ OutputSignal: false
+ Single: false
+ Multiple: false
+ Default: false
+ NonDefault: false
+ Explicit: false
+ Dynamic: false
+ WidgetSignalsMixin: false
+ AttributeList: false
+widgets/utils/slidergraph.py:
+ class `SliderGraph`:
+ def `__init__`:
+ bottom: false
+ left: false
+ def `_update_horizontal_lines`:
+ {:.3f}: false
+widgets/utils/spinbox.py:
+ class `DoubleSpinBox`:
+ def `__init__`:
+ stepType: false
+ def `textFromValue`:
+ f: false
+ def `__adaptiveDecimalStep`:
+ 1.01: false
+ stepType: false
+ def `sizeHint`:
+ X: false
+ .: false
+ ' ': false
+ -: false
+widgets/utils/sql.py:
+ Download (and sample if necessary) the SQL data first: false
+ def `check_sql_input`:
+ def `new_f`:
+ download_sql_data: false
+ def `check_sql_input_sequence`:
+ def `new_f`:
+ download_sql_data: false
+widgets/utils/state_summary.py:
+ def `format_variables_string`:
+ —: true
+ categorical: kategorična
+ numeric: številska
+ time: časovna
+ string: besedilna
+ {i} {j}: {i} {plsi(i, dict(kategorična="kategorična|kategorični|kategorične|kategoričnih", številska="številska|številski|številske|številskih", besedilna="besedilna|besedilni|besedilne|besedilnih", časovna="časovna|časovni|časovne|časovnih")[j])}
+ {sum(counts)} ({", ".join(var_string)}): false
+ {counts[0]} {attrs[0]}: {counts[0]} {plsi(counts[0], dict(kategorična="kategorična|kategorični|kategorične|kategoričnih", številska="številska|številski|številske|številskih", besedilna="besedilna|besedilni|besedilne|besedilnih", časovna="časovna|časovni|časovne|časovnih")[attrs[0]])}
+ def `format_summary_details`:
+ name: false
+ untitled: nepoimenovano
+ '{len(data):n} {pl(len(data), "instance")}, ': '{len(data):n} {plsi(len(data), "primer")}, '
+ {n_features} {pl(n_features, "variable")}: {n_features} {plsi(n_features, "spremenljivka")}
+ 'Features: {features}{features_missing}': Spremenljivke: {features} {features_missing}
+ 'Target: {targets}': Ciljna spremenljivka: {targets}
+ 'Metas: {metas}': Meta: {metas}
+ '{name}: ': true
+ 'Table with ': 'Tabela: '
+ {basic}\n{features}\n{targets}: true
+ \n{metas}: true
+ '
{escape(name)}: {basic}': true
+ Table with {basic}: Tabela: {basic}
+
: false
+ def `missing_values`:
+ ' ({value*100:.1f}% missing values)': ({value*100:.1f}% manjkajočih vrednosti)
+ ' (no missing values)': (brez manjkajočih vrednosti)
+ def `format_multiple_summaries`:
+ input: vhodu
+ def `new_line`:
+ \n: false
+
: false
+ No data on {type_io}.: Ni podatkov na {type_io}
+ {name}:
{details}: false
+
: false
+ def `_name_of`:
+ name: false
+ def `_nobr`:
+
{s}: false
+ def `summarize_table`:
+ length: false
+ ?: false
+ missing: false
+ domain: false
+ data available, but not prepared yet: false
+ def `summarize_matrix`:
+ {w}×{h}: false
+ {w}×{h} distance matrix: {w}×{h} matrika razdalj
+ def `summarize_results`:
+ {nmethods}×{ninstances}: false
+ "{nmethods} {pl(nmethods, 'method')} ": "{nmethods} {plsi(nmethods, 'metoda')} "
+ on {ninstances} test {pl(ninstances, 'instance')}: na {ninstances} {plsi(ninstances, 'testnem primeru|testnih primerih|testnih primerih')}
+ def `summarize_attributes`:
+ empty list: prazen seznam
+ ', ': false
+ ' and {n - 2} others': ' in še {n - 2} {plsi(n - 2, "spremenljivka|spremenljivki|druge spremenljivke|drugih spremenljivk")}'
+ def `summarize_preprocessor`:
+
: false
+ {_name_of(preprocessor)} (empty): (brez predprocesorjev)
+ 🄿: false
+ ⛄: false
+ 🄼: false
+ 🄻: false
+ 🅂: false
+widgets/utils/stdpaths.py:
+ {__name__} module is deprecated.: false
+widgets/utils/stickygraphicsview.py:
+ StickyGraphicsView: false
+ class `_OverlayWidget`:
+ def `__init__`:
+ sticky-view-shadow: false
+ def `changeEvent`:
+ sticky-view-shadow: false
+ class `StickyGraphicsView`:
+ def `setupViewport`:
+ sticky-header-view: false
+ sticky-footer-view: false
+ sticky-header-overlay-container: false
+ sticky-footer-overlay-container: false
+ def `main`:
+ Zoom in: false
+ Zoom out: false
+ Reset: false
+ __main__: false
+widgets/utils/tableview.py:
+ def `table_view_compact`:
+ X: false
+ class `TableView`:
+ def `__init__`:
+ horizontalScrollMode: false
+ verticalScrollMode: false
+ def `table_selection_to_mime_data`:
+ excel: false
+ utf-8: false
+ excel-tab: false
+ text/csv: false
+ text/tab-separated-values: false
+ text/plain: false
+ def `lines_to_csv_string`:
+ excel: false
+widgets/utils/textimport.py:
+ ColumnType: false
+ RowSpec: false
+ CSVOptionsWidget: false
+ CSVImportWidget: false
+ _A: false
+ _B: false
+ class `Dialect`:
+ def `__init__`:
+ \r\n: false
+ def `__repr__`:
+ ', ': false
+ {!r}: false
+ Dialect(: false
+ ): false
+ class `ColumnType`:
+ Skip: Preskoči
+ Auto: true
+ Numeric: Numerično
+ Categorical: Kategorično
+ Text: Besedilo
+ Time: Čas
+ class `LineEdit`:
+ def `sizeHint`:
+ X: false
+ class `CSVOptionsWidget`:
+ Tab: Tabulator
+ \t: false
+ Comma: Vejica
+ ,: false
+ Semicolon: Podpičje
+ ;: false
+ Space: Presledek
+ ' ': false
+ def `__init__`:
+ ,: true
+ '|': true
+ \": true
+ selectedEncoding: false
+ utf-8: false
+ encoding-combo-box: false
+ Select file text encoding: Kodiranje datoteke
+ delimiter-combo-box: false
+ Select cell delimiter character.: Ločilo med celicami tabele
+ Other: Drugo
+ .: true
+ custom-delimiter-edit: false
+ quote-edit-combo-box: false
+ "'": true
+ Encoding: 'Kodiranje: '
+ Cell delimiter: 'Ločilo med celicami: '
+ Quote character: 'Narekovaj (za označevanje celic): '
+ def `setSelectedEncoding`:
+ separator: false
+ def `encoding`:
+ latin-1: latin-2
+ def `__show_encodings_widget`:
+ -encoding-selection-tool-window: false
+ Customize Encodings List: Izberi oblike kodiranja
+ def `__set_visible_codecs`:
+ ascii: false
+ Customize Encodings List...: Izberi oblike kodiranja...
+ class `CSVImportWidget`:
+ def `__init__`:
+ X: true
+ grouping-separator-combo-box: false
+ Thousands group separator: Ločilo med tisočicami
+ None: Brez
+ No separator: Ni ločila
+ .: false
+ ,: false
+ Space: Presledek
+ ' ': false
+ "'": false
+ (\.|,| |')?: false
+ decimal-separator-combo-box: false
+ Decimal separator: Ločilo za decimalni del
+ (\.|,): false
+ Grouping:: 'Skupine: '
+ Decimal:: 'Decimalni del: '
+ Number separators:: 'Ločila med števkami: '
+ column-type-edit-combo-box: false
+ Auto: (prepoznaj)
+ 'The type will be determined automatically based ': 'Tip bo prepoznan samodejno '
+ on column contents.: glede na vsebino
+ Numeric: Številka
+ Categorical: Kategorije
+ Text: Besedilo
+ Datetime: Datum/Ura
+ separator: false
+ Ignore: Izpusti
+ The column will not be loaded: Stolpca ni mogoče naložiti
+ 'Hint: right click on the row or column header for additional options.': Namig: desni klik na glavo vrstice ali stolpca pokaže dodatne možnosti.
+ Column type: Vrsta podatka
+ -error-overlay: false
+ -error-text-label: false
+ def `numbersFormat`:
+ group: false
+ decimal: false
+ def `__decimal_sep_activated`:
+ .: false
+ ,: false
+ def `__group_sep_activated`:
+ .: false
+ ,: false
+ def `__resetPreview`:
+ surrogateescape: false
+ def `__run_row_menu`:
+ Skip: Izpusti
+ Header: Glava
+ def `__run_type_columns_menu`:
+ separator: false
+ def `__setColumnType`:
+ group: false
+ decimal: false
+ def `is_surrogate_escaped`:
+ \udc80: false
+ \udcff: false
+ class `PreviewItemDelegate`:
+ def `initStyleOption`:
+ ...: false
+ def `icon_for_column_type`:
+ N: false
+ red: false
+ C: false
+ green: false
+ S: false
+ black: false
+ T: false
+ deepskyblue: false
+ class `ColumnValidateItemDelegate`:
+ def `validate`:
+ NA: false
+ Na: false
+ na: false
+ n/a: false
+ N/A: false
+ ?: false
+ .: false
+ def `number_parser`:
+ .: false
+ def `format_exception_csv`:
+ 'CSV parsing error: ': 'Napaka pri branju: '
+ '\
+ ,A,B,C,D
+1,a,1,1,
+2,b,2,2,
+3,c,3,3,
+4,d,4,4,,\
+': false
+ def `main`:
+ rb: false
+ __main__: false
+widgets/utils/userinput.py:
+ T: false
+ def `numbers_from_list`:
+ (^|[^.])\.\.\.($|[^.]): false
+ def `_get_points`:
+ invalid value ({msg[msg.rindex(':') + 1:]}): nepravilna vrednost ({msg[msg.rindex(':') + 1:]})
+ def `_numbers_from_no_dots`:
+ ...: false
+ ' ... ': false
+ ', ': false
+ ' ': false
+ value must be between {minimum} and {maximum}: vrednost mora biti med {minimum} in {maximum}
+ value must be at least {minimum}: vrednost mora biti vsaj {minimum}
+ value must be at most {maximum}: vrednost mora biti največ {maximum}
+ def `_numbers_from_dots`:
+ ...: false
+ ' ... ': false
+ ,: false
+ ' ': false
+ multiple '...'.: več '...'
+ values before '...' must be smaller than values after.: vrednosti pred '...' morajo biti manjše od vrednosti za '...'
+ at least two values are required before or after '...'.: pred ali za '...' morata biti vsaj dve vrednosti
+ points must be in uniform order.: razlike med vrednostmi morajo biti enake
+ points must be in increasing order.: vrednosti morajo biti naraščajoče
+ minimum value is missing.: manjka začetna vrednost
+ maximum value is missing.: manjka končna vrednost
+ minimum value is below the minimum {minimum}.: začetna vrednost je pod minimumom ({minimum})
+ maximum value is above the maximum {maximum}.: končna vrednost je nad maksimumom ({maximum})
+ the sequence before '...' does not end with the sequence after it.: zaporedje pred '...' se ne konča z zaporedjem za '...'
+widgets/utils/webview.py:
+ WebviewWidget: false
+widgets/utils/widgetpreview.py:
+ WidgetPreview: false
+widgets/utils/localization/__init__.py:
+ pl: false
+widgets/utils/plot/owpalette.py:
+ create_palette: false
+ OWPalette: false
+widgets/utils/plot/owplotgui.py:
+ variables_selection: false
+ OrientedWidget: false
+ OWToolbar: false
+ StateButtonContainer: false
+ OWAction: false
+ OWButton: false
+ OWPlotGUI: false
+ class `VariableSelectionModel`:
+ def `mimeData`:
+ 'see properties: item_index': false
+ item_index: false
+ def `dropMimeData`:
+ item_index: false
+ class `VariablesDelegate`:
+ def `paint`:
+ ' Add ': ' Dodaj '
+ ' Remove ': ' Odstrani '
+ class `OWAction`:
+ def `__init__`:
+ ../../icons: false
+ .png: false
+ class `OWPlotGUI`:
+ def `__init__`:
+ (Same color): (Enaka barva)
+ (Same shape): (Enaka oblika)
+ (Same size): (Enaka velikost)
+ (No labels): (Brez oznak)
+ Zoom: Povečava
+ state: false
+ Dlg_zoom: false
+ Reset zoom: Ponastavi povečavo
+ Dlg_zoom_reset: false
+ Pan: Pomik
+ Dlg_pan_hand: false
+ Select: Izberi
+ Dlg_arrow: false
+ Add to selection: Dodaj k izboru
+ selection_behavior: false
+ Dlg_select_add: false
+ Remove from selection: Odstrani iz izbora
+ Dlg_select_remove: false
+ Toggle selection: Preklopi izbor
+ Dlg_select_toggle: false
+ Replace selection: Zamenjaj izbor
+ Send selection: Pošlji izbor
+ send_selection: false
+ Dlg_send: false
+ Clear selection: Počisti izbor
+ clear_selection: false
+ Dlg_clear: false
+ ShufflePoints: Premešaj točke
+ shuffle_points: false
+ Dlg_sort: false
+ Animate plot: Animiraj sliko
+ animate_plot: false
+ update_animations: false
+ Animate points: Animiraj točke
+ animate_points: false
+ Antialias plot: Zmehčaj sliko
+ antialias_plot: false
+ update_antialiasing: false
+ Antialias points: Zmehčaj točke
+ antialias_points: false
+ Antialias lines: Zmehčaj črte
+ antialias_lines: false
+ Disable effects for large datasets: Izključi grafične učinke za velike podatke
+ auto_adjust_performance: false
+ update_performance: false
+ def `antialiasing_check_box`:
+ use_antialiasing: false
+ Use antialiasing: Uporabi mehčanje
+ update_antialiasing: false
+ def `jitter_size_slider`:
+ 'Jittering: ': 'Tresenje: '
+ jitter_size: false
+ jitter_sizes: false
+ def `jitter_numeric_check_box`:
+ jitter_continuous: false
+ Jitter numeric values: Pretresi številske vrednosti
+ update_jittering: false
+ def `show_legend_check_box`:
+ show_legend: false
+ Show legend: Pokaži legendo
+ update_legend_visibility: false
+ def `tooltip_shows_all_check_box`:
+ tooltip_shows_all: false
+ Show all data on mouse hover: Ob prehodu z miško pokaži vse podatke
+ def `class_density_check_box`:
+ class_density: false
+ Show color regions: Pokaži barvna področja
+ def `aggregate_points_check_box`:
+ aggregate_dense_regions: false
+ Aggregate points in dense regions: Združi točke v gostih regijah
+ 'Dense regions with many points are aggregated into ': 'Goste regije z veliko točkami so združene v '
+ circles or pie charts,\n: kroge ali tortne diagrame,\n
+ unless data is jittered or labels, selection or subset is shown.: razen če so točke tresene ali pa so prikazane oznake, izbori ali podmnožice.
+ def `regression_line_check_box`:
+ show_reg_line: false
+ Show regression line: Pokaži regresijsko premico
+ def `label_only_selected_check_box`:
+ label_only_selected: false
+ Label only selection and subset: Označi samo izbor in podmnožico
+ def `filled_symbols_check_box`:
+ show_filled_symbols: false
+ Show filled symbols: Pokaži polne simbole
+ update_filled_symbols: false
+ def `grid_lines_check_box`:
+ show_grid: false
+ Show gridlines: Pokaži mrežo
+ update_grid_visibility: false
+ def `animations_check_box`:
+ use_animations: false
+ Use animations: Animiraj
+ update_animations: false
+ def `point_size_slider`:
+ 'Symbol size: ': 'Velikost točk: '
+ point_width: false
+ sizes_changed: false
+ def `alpha_value_slider`:
+ 'Opacity: ': 'Neprosojnost: '
+ alpha_value: false
+ colors_changed: false
+ def `color_value_combo`:
+ 'Color: ': 'Barva: '
+ attr_color: false
+ colors_changed: false
+ def `shape_value_combo`:
+ 'Shape: ': 'Oblika: '
+ attr_shape: false
+ shapes_changed: false
+ def `size_value_combo`:
+ 'Size: ': 'Velikost: '
+ attr_size: false
+ sizes_changed: false
+ def `label_value_combo`:
+ 'Label: ': 'Oznaka: '
+ attr_label: false
+ labels_changed: false
+ def `point_properties_box`:
+ Attributes: Izgled
+ def `plot_properties_box`:
+ aggregate_dense_regions: false
+ def `zoom_select_toolbar`:
+ Zoom / Select: Povečava / Izbor
+ def `theme_combo_box`:
+ theme_name: false
+ Theme: Tema
+ Default: Privzeta
+ Light: Svetla
+ Dark: Temna
+ def `box_zoom_select`:
+ Zoom/Select: Povečava/Izbor
+widgets/utils/plot/owplotgui_obsolete.py:
+ class `AddVariablesDialog`:
+ def `__init__`:
+ Hidden Axes: false
+ Add: false
+ Cancel: false
+ class `VariablesSelection`:
+ def `__call__`:
+ sizePolicy: false
+ selectionMode: false
+ dragEnabled: false
+ defaultDropAction: false
+ dragDropOverwriteMode: false
+ dragDropMode: false
+ Displayed Axes: false
+ Delete: false
+ +: false
+ Add new class label: false
+ MINUS SIGN: false
+ Remove selected class label: false
+ class `OWAction`:
+ def `__init__`:
+ ../../icons: false
+ .png: false
+ class `OWPlotGUI`:
+ def `__init__`:
+ (Same color): false
+ (Same shape): false
+ (Same size): false
+ (No labels): false
+ Overlap: false
+ Zoom: false
+ state: false
+ Dlg_zoom: false
+ Reset zoom: false
+ Dlg_zoom_reset: false
+ Pan: false
+ Dlg_pan_hand: false
+ Select: false
+ Dlg_arrow: false
+ Add to selection: false
+ selection_behavior: false
+ Dlg_select_add: false
+ Remove from selection: false
+ Dlg_select_remove: false
+ Toggle selection: false
+ Dlg_select_toggle: false
+ Replace selection: false
+ Send selection: false
+ send_selection: false
+ Dlg_send: false
+ Clear selection: false
+ clear_selection: false
+ Dlg_clear: false
+ ShufflePoints: false
+ shuffle_points: false
+ Dlg_sort: false
+ Animate plot: false
+ animate_plot: false
+ update_animations: false
+ Animate points: false
+ animate_points: false
+ Antialias plot: false
+ antialias_plot: false
+ update_antialiasing: false
+ Antialias points: false
+ antialias_points: false
+ Antialias lines: false
+ antialias_lines: false
+ Disable effects for large datasets: false
+ auto_adjust_performance: false
+ update_performance: false
+ def `antialiasing_check_box`:
+ use_antialiasing: false
+ Use antialiasing: false
+ update_antialiasing: false
+ def `jitter_size_slider`:
+ jitter_sizes: false
+ jitter_size: false
+ 'Jittering: ': false
+ None: false
+ %.1f %%: false
+ %d %%: false
+ def `jitter_numeric_check_box`:
+ jitter_continuous: false
+ Jitter numeric values: false
+ def `show_legend_check_box`:
+ show_legend: false
+ Show legend: false
+ update_legend: false
+ def `tooltip_shows_all_check_box`:
+ tooltip_shows_all: false
+ Show all data on mouse hover: false
+ cb_tooltip_shows_all: false
+ def `class_density_check_box`:
+ class_density: false
+ Show class density: false
+ def `regression_line_check_box`:
+ show_reg_line: false
+ Show regression line: false
+ def `label_only_selected_check_box`:
+ label_only_selected: false
+ Label only selected points: false
+ def `filled_symbols_check_box`:
+ show_filled_symbols: false
+ Show filled symbols: false
+ update_filled_symbols: false
+ def `grid_lines_check_box`:
+ show_grid: false
+ Show gridlines: false
+ update_grid: false
+ def `animations_check_box`:
+ use_animations: false
+ Use animations: false
+ update_animations: false
+ def `point_size_slider`:
+ point_width: false
+ 'Symbol size: ': false
+ update_point_size: false
+ def `alpha_value_slider`:
+ alpha_value: false
+ 'Opacity: ': false
+ update_alpha_value: false
+ def `color_value_combo`:
+ attr_color: false
+ 'Color: ': false
+ update_colors: false
+ def `shape_value_combo`:
+ attr_shape: false
+ 'Shape: ': false
+ update_shapes: false
+ def `size_value_combo`:
+ attr_size: false
+ 'Size: ': false
+ update_sizes: false
+ def `label_value_combo`:
+ attr_label: false
+ 'Label: ': false
+ update_labels: false
+ def `point_properties_box`:
+ Points: false
+ def `plot_properties_box`:
+ Plot Properties: false
+ def `zoom_select_toolbar`:
+ Zoom / Select: false
+ def `effects_box`:
+ Visual effects: false
+ def `theme_combo_box`:
+ theme_name: false
+ Theme: false
+ Default: false
+ Light: false
+ Dark: false
+widgets/utils/save/owsavebase.py:
+ ~{os.sep}: false
+ darwin: false
+ win32: false
+ class `OWSaveBase`:
+ class `Information`:
+ Empty input; nothing was saved.: Ni podatkov.
+ class `Warning`:
+ Auto save disabled.\n: Samodejno shranjevanje je onemogočeno.\n
+ 'Due to security reasons auto save is only restored for paths ': 'Zaradi varnostnih razlogov se samodejno shranjevanje obnovi samo za poti, '
+ 'that are in the same directory as the workflow file or in a ': 'ki so v istem imeniku kot delotok ali v '
+ subtree of that directory.: poddrevesu tega imenika.
+ class `Error`:
+ File name is not set.: Ime datoteke ni določeno.
+ File format is unsupported.\n{}: Format datoteke ni podprt.\n{}
+ {}: false
+ def `__init__`:
+ auto_save: false
+ Autosave when receiving new data: Samodejno shrani ob prejemu novih podatkov
+ Save as {self.stored_name}: Shrani kot {self.stored_name}
+ Save: Shrani
+ Save as ...: Shrani kot ...
+ def `last_dir`:
+ basedir: false
+ ..: false
+ def `_abs_path_from_setting`:
+ basedir: false
+ def `workflowEnvChanged`:
+ basedir: false
+ def `save_file_as`:
+ Save as {self.stored_name}: Shrani kot {self.stored_name}
+ def `_replace_extension`:
+ .: false
+ def `_extension_from_filter`:
+ .*\(\*?(\..*)\)$: false
+ def `migrate_settings`:
+ last_dir: false
+ stored_path: false
+ filename: false
+ stored_name: false
+ def `get_save_filename`:
+ Save File: Shrani datoteko
+ ;;: false
+widgets/utils/tests/concurrent_example.py:
+ def `run`:
+ Calculating...: false
+ class `OWConcurrentWidget`:
+ Projection: false
+ concurrent, projection, example: false
+ def `_add_controls`:
+ param: false
+ Parameter:: false
+ Param A: false
+ Param B: false
+ Start: false
+ def `_toggle_run`:
+ Resume: false
+ def `_run`:
+ Stop: false
+ def `on_done`:
+ Start: false
+ __main__: false
+ iris: false
+widgets/visualize/__init__.py:
+ Visualize: Vizualizacija
+ orange.widgets.visualize: false
+ Data visualization: Vizualizacija podatkov
+ '#FFB7B1': false
+ icons/Category-Visualize.svg: false
+widgets/visualize/owbarplot.py:
+ class `ParameterSetter`:
+ Gridlines: Mreža
+ Show: Pokaži
+ Bottom axis: Spodnja os
+ Group axis: Os skupin
+ Vertical ticks: Navpične oznake
+ Hide empty categories in the legend: Skrij prazne kategorije v legendi
+ def `update_setters`:
+ def `update_bottom_axis`:
+ bottom: false
+ def `axis_items`:
+ item: false
+ class `BarPlotGraph`:
+ def `__init__`:
+ bottom: false
+ left: false
+ def `update_axes`:
+ left: false
+ bottom: false
+ def `reset_view`:
+ height: false
+ def `select_by_rectangle`:
+ x: false
+ height: false
+ def `__get_index_at`:
+ height: false
+ def `__select_bars`:
+ height: false
+ class `OWBarPlot`:
+ Bar Plot: Palice
+ Visualizes comparisons among categorical variables.: Vizualna primerjava kategoričnih spremenljivk.
+ icons/BarPlot.svg: false
+ bar plot, chart: bar plot, chart, stolpčni diagram, grafikon
+ class `Inputs`:
+ Data: Podatki
+ Data Subset: Podmnožica podatkov
+ class `Outputs`:
+ Selected Data: Izbrani podatki
+ graph.plotItem: false
+ class `Error`:
+ Plotting requires a numeric feature.: Podatki ne vsebujejo številskih spremenljivk.
+ class `Information`:
+ Data has too many instances. Only first {}: Podatki vsebujejo preveč primerov. Kažem samo prvih {}.
+ ' are shown.': ""
+ Enumeration: Zaporedne številke
+ def `_add_controls`:
+ selected_var: false
+ Values:: Vrednosti:
+ None: (Brez)
+ group_var: false
+ Group by:: Skupine:
+ annot_var: false
+ Annotations:: Oznake:
+ (Same color): (Enaka barva)
+ color_var: false
+ Color:: Barva:
+ show_legend: false
+ Show legend: Pokaži legendo
+ auto_commit: false
+ def `grouped_indices`:
+ mergesort: false
+ def `init_attr_values`:
+ selected_var: false
+ group_var: false
+ annot_var: false
+ color_var: false
+ def `get_tooltip`:
+
: false
+ {} = {}: false
+
{}{}: false
+ __main__: false
+ iris: false
+widgets/visualize/owboxplot.py:
+ ContDataRange: false
+ low: false
+ high: false
+ group_value: false
+ DiscDataRange: false
+ value: false
+ class `BoxData`:
+ def `__init__`:
+ midpoint: false
+ class `OWBoxPlot`:
+ Box Plot: Škatla z brki
+ Visualize the distribution of feature values in a box plot.: Prikaži porazdelitev vrednosti spremenljivke v škatli z brki.
+ icons/BoxPlot.svg: false
+ box plot, whisker: box plot, whisker
+ class `Inputs`:
+ Data: Podatki
+ class `Outputs`:
+ Selected Data: Izbrani podatki
+ class `Warning`:
+ Data contains no categorical or numeric variables: Podatki ne vsebujejo kategoričnih ali številskih spremenljivk.
+ median: false
+ mean: false
+ box_scene: false
+ def `__init__`:
+ Variable: Spremenljivka
+ order_by_importance: false
+ Order by relevance to subgroups: Uredi glede na različnost po skupinah
+ Order by 𝜒² or ANOVA over the subgroups: Uredi glede na vrednost 𝜒² ali ANOVA med skupinami
+ None: Brez
+ Subgroups: Skupine
+ order_grouping_by_importance: false
+ Order by relevance to variable: Uredi glede na pomembnost spremenljivke
+ Order by 𝜒² or ANOVA over the variable values: Uredi glede na vrednost 𝜒² ali ANOVA za vrednosti spremenljivke
+ Display: Prikaz
+ show_annotations: false
+ Annotate: Oznake
+ compare: false
+ No comparison: Brez primerjanja
+ Compare medians: Primerjaj srednje vrednosti
+ Compare means: Primerjaj povprečja
+ stretched: false
+ Stretch bars: Raztegni črte
+ show_labels: false
+ Show box labels: Pokaži oznake črt
+ sort_freqs: false
+ Sort by subgroup frequencies: Uredi po pogostosti skupin
+ def `reset_attrs`:
+ hidden: false
+ def `reset_groups`:
+ hidden: false
+ def `compute_box_data`:
+ missing '{self.group_var.name}': (neznana vrednost)
+ def `_display_changed_disc`:
+ {int(sum(cont))}: false
+ def `_compute_tests_cont`:
+ 'At least one group has just one instance, ': 'Vsaj ena skupina ima zgolj en primer, '
+ cannot compute significance: zato ne morem izračunati pomembnosti.
+ "Student's t: {t:.3f} (p={p:.3f}, N={n})": Studentov t-test: {t:.3f} (p={p:.3f}, N={n})
+ 'ANOVA: {F:.3f} (p={p:.3f}, N={n})': true
+ def `_compute_tests_disc`:
+ 'χ²: {chi:.2f} (p={p:.3f}, dof={dof})': true
+ def `mean_label`:
+ ' \u00b1 ': true
+ %.*f: true
+ ': ': true
+ def `draw_axis`:
+ ?: true
+ def `draw_axis_disc`:
+ the callee must ensure this!: false
+ def `strudel`:
+ missing '{attr.name}': (neznana vrednost)
+ add_lpad: false
+ add_rpad: false
+ '{value}: {100 * freq / total:.2f}%': true
+ '{value}: ({int(freq)})': true
+ def `_show_posthoc`:
+ median: false
+ mean: false
+ def `send_report`:
+ "Box plot for attribute '{self.attribute.name}' ": "Škatla z brki za spremenljivko '{self.attribute.name}' "
+ grouped by '{self.group_var.name}': urejeno po '{self.group_var.name}'
+ __main__: false
+ heart_disease.tab: false
+widgets/visualize/owdistributions.py:
+ class `ScatterPlotItem`:
+ def `paint`:
+ pxMode: false
+ antialias: false
+ class `ParameterSetter`:
+ Hide empty categories in the legend: V legendo ne vključi praznih kategorij
+ def `axis_items`:
+ item: false
+ class `AshCurve`:
+ def `pdf`:
+ same: false
+ class `ElidedAxisNoUnits`:
+ def `labelString`:
+ ;: true
+ '{k}: {v}': true
+
{self.labelText}: false
+ class `OWDistributions`:
+ Distributions: Porazdelitve
+ Display value distributions of a data feature in a graph.: Pokaži porazdelitev vrednosti spremenljivke.
+ icons/Distribution.svg: false
+ distributions, histogram: distributions, histogram
+ class `Inputs`:
+ Data: Podatki
+ Set the input dataset: Določi vhodne podatke
+ class `Outputs`:
+ Selected Data: Izbrani podatki
+ Histogram Data: Podatki o porazdelitvi
+ class `Error`:
+ Variable '{}' does not have any defined values: Spremenljivke '{}' nima definiranih vrednosti.
+ No data instances with '{}' and '{}' defined: Nobena vrstica nima znanih vrednosti za '{}' in '{}'.
+ class `Warning`:
+ Data instances with missing values are ignored: Podatki z neznanimi vrednostmi so izločeni.
+ plot: false
+ None: (brez)
+ Normal: Normalna
+ loc: false
+ scale: false
+ μ: true
+ σ: true
+ Beta: true
+ a: false
+ b: false
+ α: true
+ β: true
+ -loc: false
+ -scale: false
+ Gamma: Gama
+ θ: false
+ Rayleigh: true
+ Pareto: true
+ Exponential: Eksponentna
+ λ: true
+ Kernel density: Jedra
+ def `__init__`:
+ var: false
+ Variable: Spremenljivka
+ sort_by_freq: false
+ Sort categories by frequency: Uredi kategorije po velikosti
+ Distribution: Porazdelitev
+ fitted_distribution: false
+ Fitted distribution: Prilagodi porazdelitev
+ number_of_bins: false
+ Bin width: Širina koša
+ kde_smoothing: false
+ Smoothing: Glajenje
+ hide_bars: false
+ Hide bars: Skrij stolpce
+ Columns: Stolpci
+ cvar: false
+ Split by: Razdeli po
+ (None): (Ne deli)
+ stacked_columns: false
+ Stack columns: Naloži stolpce
+ show_probs: false
+ Show probabilities: Pokaži verjetnosti
+ cumulative_distr: false
+ Show cumulative distribution: Pokaži kumulativno porazdelitev
+ show_legend: false
+ Show legend: Pokaži legendo
+ def `_setup_plots`:
+ def `add_new_plot`:
+ right: false
+ bottom: false
+ left: false
+ def `_on_show_probabilities_changed`:
+ Fitted probability: Prilagojena verjetnost
+ Chosen distribution is used to compute Bayesian probabilities: Izbrana porazdelitev je uporabljena za izračun Bayesovkih verjenosti
+ Fitted distribution: Prilagojena porazdelitev
+ def `_set_axis_names`:
+ bottom: false
+ left: false
+ Probability of '{self.cvar.name}' at given '{self.var.name}': Verjetnost '{self.cvar.name}' pri podani '{self.var.name}'
+ Frequency: Pogostost
+ def `_disc_plot`:
+ bottom: false
+
: true
+ '{escape(desc)}: {int(freq)} ': true
+ '({100 * freq / len(self.valid_data):.2f} %) ': true
+ def `_disc_split_plot`:
+ bottom: false
+ def `_cont_plot`:
+
: true
+ '{escape(desc)}: ': true
+ {freq} ({100 * freq / total:.2f} %)
: true
+ def `_set_cont_ticks`:
+ bottom: false
+ def `_fit_approximation`:
+ def `join_pars`:
+ ', ': true
+ {sname}={strv(val)}: true
+ def `str_params`:
+ -: true
+ ' ({par})': true
+ def `_set_curve_brushes`:
+ pen: false
+ def `_split_tooltip`:
+ 'white-space:pre; text-align: right;': true
+ "style='{cs} padding-left: 1em'": true
+ style='{cs}': false
+ "
": true
+ | {escape(valname)}: | : true
+ {int(tot_group)} | : true
+ | : true
+ {100 * tot_group / total:.2f} % |
|---|
: true
+ | | (in group) | (overall) | : true
+
: true
+ : true
+ | {value}: | : true
+ {int(freq)} | : true
+ {100 * freq / div_group:.2f} % | : true
+ {100 * freq / total:.2f} % | : true
+
: true
+ def `_display_legend`:
+ s: false
+ ' ({desc})': true
+ def `str_int`:
+ {var.name} < {sx1}: true
+ {var.name} = {sx0}: true
+ {var.name} ≥ {sx0}: true
+ {sx0} ≤ {var.name} < {sx1}: true
+ def `show_selection`:
+
: true
+ '{escape(valname)}: ': true
+ {inside} ({100 * inside / total:.2f} %): true
+ def `migrate_context`:
+ selection: false
+ selected_bars: false
+ def `apply`:
+ Bin: Koš
+ def `_get_histogram_table`:
+ Bin: Koš
+ Count: Število
+ def `_get_cont_baritem_indices`:
+ ignore: false
+ def `send_report`:
+ Cummulative distribution of '{self.var.name}': Kumulativna porazdelitev '{self.var.name}'
+ Distribution of '{self.var.name}': Porazdelitev '{self.var.name}'
+ " with columns split by '{self.cvar.name}'": " s stolpci, razdeljenimi po '{self.cvar.name}'"
+ __main__: false
+ heart_disease.tab: false
+widgets/visualize/owfreeviz.py:
+ def `run_freeviz`:
+ Calculating...: Računam...
+ class `InitType`:
+ def `items`:
+ Circular: Krožna
+ Random: Naključna
+ class `OWFreeViz`:
+ FreeViz: Prostoskop
+ Displays FreeViz projection: Pokaže projekcijo s Prostoskopom.
+ icons/Freeviz.svg: false
+ freeviz, viz: freeviz, viz
+ class `Error`:
+ Data must have a target variable.: Podatki morajo imeti ciljno spremenljivko.
+ Data must have a single target variable.: Podatki morajo imeti eno ciljno spremenljivko.
+ Target variable must have at least two unique values.: Ciljna spremenljivka mora imeti vsaj dve različni vrednosti.
+ Number of features exceeds the number of instances.: Število spremenljivk presega število primerov.
+ Data is too large.: Podatkov je preveč.
+ All data columns are constant.: Vsi stolpci so konstantni.
+ At least two features are required.: Potrebni sta vsaj dve spremenljivki.
+ class `Warning`:
+ Categorical features with more than: Kategorične spremenljivke z več kot dvema
+ ' two values are not shown.': ' vrednostima niso prikazane.'
+ def `_add_controls`:
+ Hide radius:: Skriti krog:
+ hide_radius: false
+ def `__add_controls_start_box`:
+ Optimize: Izris
+ initialization: false
+ Initialization:: Začetna pozicija:
+ balance: false
+ Gravity: Gravitacija
+ gravity_index: false
+ Start: Začni
+ def `_toggle_run`:
+ Resume: Nadaljuj
+ def `_run`:
+ Stop: Stoj
+ def `on_done`:
+ Start: Začni
+ def `on_exception`:
+ Start: Začni
+ def `enable_controls`:
+ Start: Začni
+ def `migrate_settings`:
+ radius: false
+ graph: false
+ hide_radius: false
+ def `migrate_context`:
+ attr_color: false
+ graph: false
+ attr_size: false
+ attr_shape: false
+ attr_label: false
+ __main__: false
+ zoo: false
+widgets/visualize/owheatmap.py:
+ def `split_domain`:
+ N/A: NN
+ None: Brez
+ No clustering: Brez gručenja
+ Clustering: Gručenje
+ Apply hierarchical clustering: Uporabi hierarhično gručenje
+ Clustering (opt. ordering): Gručenje z urejanjem
+ 'Apply hierarchical clustering with optimal leaf ': Uporabi hierarhično gručenje z urejanjem listov.
+ ordering.: ""
+ Top: Zgoraj
+ Bottom: Spodaj
+ Top and Bottom: Zgoraj in spodaj
+ class `OWHeatMap`:
+ Heat Map: Topla greda
+ Plot a data matrix heatmap.: Pokaži podatke v topli gredi.
+ icons/Heatmap-symbolic.svg: false
+ heat map: heat map
+ class `Inputs`:
+ Data: Podatki
+ class `Outputs`:
+ Selected Data: Izbrani podatki
+ scene: false
+ class `Information`:
+ Data has been sampled: Podatki so vzorčeni.
+ Categorical features are ignored.: Kategoričnih spremenljivk ne kažem.
+ {}: false
+ Showing this data may require a lot of memory: Prikaz teh podatkov lahko zahteva veliko pomnilnika.
+ class `Error`:
+ No numeric features: Ni številskih spremenljivk.
+ Not enough features for column clustering: Ni dovolj spremenljivk za gručenje stolpcev.
+ Not enough instances for clustering: Ni dovolj podatkov za gručenje vrstic.
+ Not enough instances for k-means merging: Ni dovolj podatkov za združevanje.
+ Not enough memory to show this data: Premalo pomnilnika za prikaz podatkov.
+ class `Warning`:
+ Empty clusters were removed: Prazne gruče so odstranjene.
+ 'For data with a meaningful mid-point, ': 'Za podatke, ki imajo nevtralno, sredinsko vrednost '
+ choose one of diverging palettes.: izberite divergentno barvno paleto.
+ diverging_palette: false
+ def `__init__`:
+ Color: Barva
+ Merge: Združevanje
+ merge_kmeans: false
+ Merge by k-means: Združi v skupine (k-means)
+ merge_kmeans_k: false
+ Clusters:: Skupin:
+ Clustering: Gručenje
+ row_clustering: false
+ col_clustering: false
+ Rows:: Vrstice:
+ Columns:: Stolpci:
+ Split By: Razdelitev
+ (None): (Brez)
+ Split the heatmap vertically by a categorical column: Navpična delitev glede na kategorično spremenljivko
+ split_by_var: false
+ Split the heatmap horizontally by column annotation: Vodoravna delitev glede na oznake stolpcev
+ split_columns_var: false
+ Annotation && Legends: Oznake in legenda
+ legend: false
+ Show legend: Pokaži legendo
+ averages: false
+ Stripes with averages: Trak s poprečji
+ Row Annotations: Oznake vrstic
+ annotation_var: false
+ annotation_color_var: false
+ Text: Besedilo
+ Column annotations: Oznake stolpcev
+ column_annotation_color_var: false
+ column_label_pos: false
+ Position: Položaj
+ keep_aspect: false
+ Keep aspect ratio: Ohrani razmerje
+ Resize: Povečava
+ auto_commit: false
+ Increase Font: Povečaj pisavo
+ ctrl+>: true
+ Decrease Font: Zmanjšaj pisavo
+ ctrl+<: true
+ setShortcutVisibleInContextMenu: false
+ def `set_dataset`:
+ hidden: false
+ def `_make_parts`:
+ N/A: NN
+ def `cluster_rows`:
+ Parts: false
+ def `cluster_columns`:
+ Parts: false
+ def `construct_heatmaps`:
+ Parts: false
+ def `construct_heatmaps_scene`:
+ Parts: false
+ _T: false
+ def `__update_clustering_enable_state`:
+ Parts: false
+ 'Row cluster ordering was disabled due to the ': Urejanje gruč vrstic
+ estimated runtime cost: ' je ustavljeno, ker bi zahtevalo preveč časa.'
+ 'Row clustering was was disabled due to the ': Gručenje vrstic
+ 'Column cluster ordering was disabled due to ': Urejanje gruč stolpcev
+ 'Column clustering was disabled due to the ': Gručenje stolpcev
+ def `update_annotations`:
+ ', ': false
+ ' ({} more)': ' (in še {})'
+ def `_on_view_context_menu`:
+ Keep aspect ratio: false
+ def `send_report`:
+ Columns:: Stolpci
+ Clustering: Gručenje
+ No sorting: Brez urejanja
+ Rows:: Vrstice
+ Split:: Delitev
+ Row annotation: Oznake vrstic
+ def `migrate_settings`:
+ row_clustering: false
+ col_clustering: false
+ row_clustering_method: false
+ col_clustering_method: false
+ def `join_elided`:
+ ...: true
+ def `colorize`:
+ N/A: NN
+ def `aggregate`:
+ ', ': false
+ ' ({} more)': ' (in še {})'
+ def `agg_join_str`:
+ ' ({} more)': ' (in še {})'
+ ', ': false
+ _T: false
+ __main__: false
+ brown-selected.tab: false
+widgets/visualize/owlinearprojection.py:
+ class `OWLinProjGraph`:
+ def `update_anchors`:
+ {label}: false
+ ...: true
+ Placement: false
+ class `OWLinearProjection`:
+ Linear Projection: Linearna projekcija
+ 'A multi-axis projection of data onto ': 'Projekcija večdimenzionalnih podatkov '
+ a two-dimensional plane.: v dve dimenziji.
+ icons/LinearProjection-symbolic.svg: false
+ linear projection: linear projection
+ Circular Placement: Krožna postavitev
+ Linear Discriminant Analysis: Linearna diskriminantna analiza
+ Principal Component Analysis: Analiza osnovnih komponent
+ class `Error`:
+ Plotting requires numeric features: Podatki ne vsebujejo številskih spremenljivk.
+ class `Information`:
+ LDA placement is disabled due to unsuitable target.\n{}: Razporejanje z LDA je izključeno, ker ni primerne ciljne spremenljivke.\n{}
+ def `_add_controls`:
+ Features: Spremenljivke
+ Hide radius:: Skriti krog
+ hide_radius: false
+ def `_add_controls_variables`:
+ Suggest Features: Predlagaj spremenljivke
+ def `_add_controls_placement`:
+ placement: false
+ def `_add_buttons`:
+ auto_commit: false
+ def `store_vizrank_n_attrs`:
+ n_attrs: false
+ def `_check_options`:
+ Current data has no target variable: Podatki nimajo ciljne spremenljivke.
+ {class_var.name} is not categorical: {class_var.name} ni kategorična spremenljivka.
+ Data has no defined values for {class_var.name}: Podatki nimajo definiranih vrednosti za {class_var.name}.
+ ' and ': ' in '
+ "'{class_var.values[int(i)]}'": false
+ "Data contains just {['one', 'two'][nclasses - 1]} distinct ": "Podatki vsebujejo le {plsi(nclasses - 1, 'eno vrednost|dve vrednosti|')} "
+ "{pl(nclasses, 'value')} ({vals}) for '{class_var.name}'; ": "spremenljivke '{class_var.name}'; "
+ at least three are required.: LDA potrebuje vsaj tri.
+ def `init_vizrank`:
+ There is no data.: Ni podatkov.
+ Color variable has to be selected: Potrebno je izbrati spremenljivko za barvo.
+ 'Suggest Features does not work for Linear ': 'Predlaganje spremenljivk ne deluje '
+ 'Discriminant Analysis Projection when ': 'za diskriminantno analizo pri barvanju '
+ continuous color variable is selected.: s številsko spremenljivko.
+ Not enough available continuous variables: Ni dovolj številskih spremenljivk.
+ Not enough valid data instances: Ni dovolj podatkov.
+ def `init_projection`:
+ eigen: false
+ def `_get_send_report_caption`:
+ Projection: Projekcija
+ Color: Barva
+ Label: Oznake
+ Shape: Oblika
+ Size: Velikost
+ Jittering: Tresenje
+ {} %: false
+ def `migrate_settings`:
+ point_width: false
+ point_size: false
+ jitter_size: false
+ jitter_value: false
+ alpha_value: false
+ class_density: false
+ graph: false
+ radius: false
+ hide_radius: false
+ selection_indices: false
+ selection: false
+ placement: false
+ def `migrate_context`:
+ color_index: false
+ attr_color: false
+ shape_index: false
+ attr_shape: false
+ size_index: false
+ attr_size: false
+ graph: false
+ attr_label: false
+ selected_vars: false
+ __main__: false
+ iris: false
+widgets/visualize/owlineplot.py:
+ class `ParameterSetter`:
+ Mean: Srednja vrednost
+ Lines: Črte
+ Lines (missing value): Črte (manjkajoče vrednosti)
+ Selected lines: Izbrane črte
+ Selected lines (missing value): Izbrane črte (manjkajoče vrednosti)
+ Range: Razpon
+ Selected range: Razpon izbora
+ def `update_setters`:
+ Dash line: Prekinjena črta
+ def `axis_items`:
+ item: false
+ class `LinePlotGraph`:
+ def `__init__`:
+ bottom: false
+ left: false
+ def `update_legend`:
+ s: false
+ def `reset`:
+ bottom: false
+ class `ProfileGroup`:
+ def `update_profiles_color`:
+ pen: false
+ def `update_sel_profiles_color`:
+ pen: false
+ class `OWLinePlot`:
+ Line Plot: Črtni diagram
+ Visualization of data profiles (e.g., time series).: Vizualizacija profilov podatkov, na primer časovnih vrst.
+ icons/LinePlot.svg: false
+ line plot: line plot
+ class `Inputs`:
+ Data: Podatki
+ Data Subset: Podmnožica podatkov
+ class `Outputs`:
+ Selected Data: Izbrani podatki
+ graph.plotItem: false
+ class `Error`:
+ Need at least one numeric feature.: Potrebna je vsaj ena številska spremenljivka.
+ class `Warning`:
+ No display option is selected.: Izberite vsaj en element za prikaz.
+ class `Information`:
+ Data has too many features. Only first {}: Podatki imajo preveč spremenljivk. Prikazanih je prvih {}.
+ ' are shown.': ""
+ def `_add_controls`:
+ Display: Prikaz
+ show_profiles: false
+ Lines: Črte
+ Plot lines: Pokaži črte.
+ show_range: false
+ Range: Razpon
+ Plot range between 10th and 90th percentile: Pokaži razpon med 10. in 90. percentilom.
+ show_mean: false
+ Mean: Srednja vrednost
+ Plot mean curve: Črta s poprečno vrednostjo.
+ show_error: false
+ Error bars: Standardna deviacija
+ Show standard deviation: Pokaži standardno deviacijo.
+ None: (Brez skupin)
+ group_var: false
+ Group by: Skupine
+ auto_commit: false
+ def `__show_profiles_changed`:
+ profiles: false
+ def `__show_range_changed`:
+ range: false
+ def `__show_mean_changed`:
+ mean: false
+ def `__show_error_changed`:
+ error: false
+ def `setup_plot`:
+ bottom: false
+ def `__get_visibility_flags`:
+ show_profiles: false
+ show_range: false
+ show_mean: false
+ show_error: false
+ def `_update_visibility`:
+ set_visible_{}: false
+ def `send_report`:
+ Group by: Skupine glede na
+ __main__: false
+ brown-selected: false
+widgets/visualize/owmosaic.py:
+ class `MosaicVizRank`:
+ def `__init__`:
+ 'Score Mosaics with ': Oceni Mozaike
+ a single variable: z eno spremenljivko
+ two variables: z dvema spremenljivkama
+ three variables: s tremi spremenljivkami
+ four variables: s štirimi spremenljivkami
+ at most two variables: z največ dvema spremenljivkama
+ at most three variables: z največ tremi spremenljivkami
+ at most four variables: z največ štirimi spremenljivkami
+ def `on_attrs_changed`:
+ Restart with new settings: Poženi z novimi nastavitvami
+ def `score_attributes`:
+ name: false
+ def `compute_score`:
+ -: false
+ def `row_for_state`:
+ ', ': false
+ def `emit_run_state_changed`:
+ attr_range_index: false
+ class `OWMosaicDisplay`:
+ Mosaic Display: Mozaik
+ Display data in a mosaic plot.: Pokaži mozaik za podatke.
+ icons/MosaicDisplay.svg: false
+ mosaic display: mosaic display
+ class `Inputs`:
+ Data: Podatki
+ Data Subset: Podmnožica podatkov
+ class `Outputs`:
+ Selected Data: Izbrani podatki
+ canvas: false
+ class `Warning`:
+ Data subset is incompatible with Data: Podmnožica podatkov ni združljiva z vhodnimi podatki.
+ No valid data: Ni uporabnih podatkov.
+ Selection of numeric features on SQL is not supported: Izbor številskih podatkov iz SQL ni podprt.
+ def `__init__`:
+ (None): (Prazno)
+ variable{}: false
+ Find Informative Mosaics: Poišči informativne mozaike
+ Interior Coloring: Barva notranjosti
+ (Pearson residuals): (Pearsonovi residuali)
+ variable_color: false
+ use_boxes: false
+ Compare with total: Primerjaj s celoto
+ def `store_vizrank_attr_range`:
+ attr_range_index: false
+ def `init_vizrank`:
+ Not enough data: Ni dovolj podatkov
+ def `update_graph`:
+ def `get_counts`:
+ -: true
+ def `draw_data`:
+ -: true
+ '{} {}: {}
': false
+ def `add_rect`:
+
: false
+ 'Expected instances: %.1f
': Pričakovanih primerov: %.1f
+ 'Actual instances: %d
': Dejanskih primerov: %d
+ 'Standardized (Pearson) residual: %.1f': Standardiziran (Pearsonov) residual: %.1f
+ -: true
+
: false
+ '
%s: %d / %.1f%% (Expected %.1f / %.1f%%)':
%s: %d / %.1f%% (Pričakovano %.1f / %.1f%%)
+ '{}
Instances: {}
{}': {}
Primerov: {}
{}
+ def `create_legend`:
+ <-8: false
+ -8:-4: false
+ -4:-2: false
+ -2:2: false
+ 2:4: false
+ 4:8: false
+ >8: false
+ Residuals:: Residuali:
+ Feature {} has no values: Spremenljivka {} nima vrednosti
+ def `migrate_context`:
+ (None): false
+ def `get_conditional_distribution`:
+ COUNT(*): false
+ ?: false
+ None: false
+ -: false
+ __main__: false
+ zoo: false
+widgets/visualize/ownomogram.py:
+ class `SortBy`:
+ def `items`:
+ Original order: Originalni
+ Alphabetically: Abecedni
+ Absolute importance: Absolutna pomembnost
+ Positive influence: Pozitivni vpliv
+ Negative influence: Negativni vpliv
+ class `DotItem`:
+ 'ul {margin-top: 1px; margin-bottom: 1px;}': false
+ '
+
{}
{}
+ ': false
+ class `ProbabilitiesDotItem`:
+ def `get_tooltip_text`:
+ 'Total: {}
Probability: {:.0%}': Vsota: {}
Verjetnost: {:.0%}
+ class `DiscreteMovableDotItem`:
+ def `get_tooltip_text`:
+ 'Points: {}': Točke: {}
+ '{}: {:.0%}
': false
+ def `_get_tooltip_labels_with_percentages`:
+ <: false
+ <: false
+ class `GraphicsColorAnimator`:
+ def `__init__`:
+ brushColor: false
+ class `ContinuousItemMixin`:
+ def `get_tooltip_text`:
+ 'Points: {}': Točke: {}
+ 'Value: {}': Vrednost: {}
+ class `ProbabilitiesRulerItem`:
+ def `__init__`:
+ Total: Vsota
+ ' ': false
+ class `OWNomogram`:
+ Nomogram: true
+ ' Nomograms for Visualization of Naive Bayesian': 'Nomogram za prikaz '
+ ' and Logistic Regression Classifiers.': naivnega Bayesovega modela in logistične regresije.
+ icons/Nomogram.svg: false
+ nomogram: nomogram
+ class `Inputs`:
+ Classifier: Model
+ Data: Podatki
+ class `Outputs`:
+ Features: Značilke
+ scene: false
+ class `Error`:
+ 'Nomogram accepts only Naive Bayes and ': 'Nomogram sprejema zgolj naivni Bayesov '
+ Logistic Regression classifiers.: klasifikator in logistično regresijo.
+ def `__init__`:
+ target_class_index: false
+ 'Target class: ': 'Ciljni razred: '
+ normalize_probabilities: false
+ Normalize probabilities: Normiraj verjetnosti
+ For multiclass data 1 vs. all probabilities do not: Za večrazredne podatke 'eden proti vsem' se posamične napovedane verjetnosti
+ ' sum to 1 and therefore could be normalized.': ' ne seštejejo v 1.'
+ 'margin-bottom: 12px': false
+ scale: false
+ 'Scale: ': 'Lestvica: '
+ Point scale: Točkovna lestvica
+ Log odds ratios: Razmerje logaritmov obetov
+ Displayed features: Prikazane spremenljivke
+ sort_index: false
+ Do not sort features, display them in original order: Pokaži spremenljivke v izvirnem vrstnem redu
+ Sort features alphabetically by name: Uredi spremenljivke abecedno po imenu
+ Sort features by absolute importance: Uredi spremenljivke po absolutni pomembnosti
+ Sort features by positive influence on the class: Uredi spremenljivke po pozitivnem vplivu na razred
+ Sort features by negative influence on the class: Uredi spremenljivke po negativnem vplivu na razred
+ 'Order: ': 'Vrstni red: '
+ display_index: false
+ All features: Vse značilke
+ Best ranked:: Prvih:
+ n_attributes: false
+ 'Show: ': 'Pokaži: '
+ cont_feature_dim_index: false
+ Numeric features:: Številske spremenljivke:
+ 1D projection: 1D projekcija
+ 2D curve: 2D krivulja
+ def `_class_combo_changed`:
+ ignore: false
+ def `update_scene`:
+ Points: Točke
+ Probabilities (%): Verjetnosti (%)
+ def `create_footer_nomogram`:
+ {}='{}': false
+ def `reconstruct_domain`:
+ variable: false
+ def `reset_settings`:
+ ignore: false
+ combo box 'target_class_index' is empty: false
+ __main__: false
+ heart_disease: false
+widgets/visualize/owpythagorastree.py:
+ class `OWPythagorasTree`:
+ Pythagorean Tree: Pitagorovo drevo
+ Pythagorean Tree visualization for tree like-structures.: Prikaz drevesne strukture s Pitagorovim drevesom.
+ icons/PythagoreanTree-symbolic.svg: false
+ pythagorean tree, fractal: pythagorean tree, fractal, fraktal
+ class `Inputs`:
+ Tree: Drevo
+ class `Outputs`:
+ Selected Data: Izbrani podatki
+ scene: false
+ corner: false
+ offset: false
+ def `__init__`:
+ Normal: Sorazmerna
+ Square root: Kvadratni koren
+ Logarithmic: Logaritmična
+ Tree Info: Podatki o drevesu
+ Display Settings: Nastavitve prikaza
+ depth_limit: false
+ Depth: Globina
+ target_class_index: false
+ Target class: Ciljni razred:
+ size_calc_idx: false
+ Size: Velikost:
+ size_log_scale: false
+ Log scale factor: Logaritmični faktor
+ Plot Properties: Lastnosti prikaza
+ tooltips_enabled: false
+ Enable tooltips: Kaži namige pod miško
+ show_legend: false
+ Show legend: Pokaži legendo
+ Redraw: Ponovno izriši
+ def `set_tree`:
+ meta_target_class_index: false
+ meta_size_calc_idx: false
+ meta_depth_limit: false
+ def `_update_info_box`:
+ 'Nodes: {}\nDepth: {}': Število vozlišč: {}, globina: {}
+ def `_update_log_scale_slider`:
+ Logarithmic: Logaritmična
+ def `_clear_info_box`:
+ No tree on input: Na vhodu ni drevesa.
+ def `_update_target_class_combo`:
+ Target class: Ciljni razred:
+ None: (Vsi razredi)
+ Node color: Barva:
+ def `_classification_update_legend_colors`:
+ other: false
+ '#ffffff': false
+ __main__: false
+ iris: false
+widgets/visualize/owpythagoreanforest.py:
+ '
+
+': false
+ class `PythagoreanForestModel`:
+ def `data`:
+ tree: false
+ scene: false
+ def `update_tree_views`:
+ tree: false
+ class `PythagorasTreeDelegate`:
+ def `paint`:
+ '#ebebeb': false
+ class `OWPythagoreanForest`:
+ Pythagorean Forest: Pitagorov gozd
+ Pythagorean forest for visualising random forests.: Prikaz naključnega gozda s Pitagorovimi drevesi.
+ icons/PythagoreanForest-symbolic.svg: false
+ pythagorean forest, fractal: pythagorean forest, fractal, fraktal, drevesa
+ class `Inputs`:
+ Random Forest: Naključni gozd
+ Random forest: Naključni gozd
+ class `Outputs`:
+ Tree: Drevo
+ Normal: Sorazmerna
+ Square root: Kvadratni koren
+ Logarithmic: Logaritmična
+ def `migrate_settings`:
+ selected_tree_index: false
+ zoom: false
+ def `__init__`:
+ Forest: Gozd
+ Display: Prikaz
+ depth_limit: false
+ Depth: Globina:
+ target_class_index: false
+ Target class: Ciljni razred:
+ size_calc_idx: false
+ Size: Velikost:
+ zoom: false
+ Zoom: Povečava
+ def `_update_info_box`:
+ 'Trees: {}': Drevesa: {}
+ def `_update_target_class_combo`:
+ Target class: Ciljni razred:
+ None: (Vsi razredi)
+ Node color: Barva:
+ def `_clear_info_box`:
+ No forest on input.: Na vhodu ni gozda.
+ def `send_report`:
+ def `item_html`:
+ utf-8: false
+ '
: false
+
: false
+
: false
+
: false
+
. . .
: false
+ __main__: false
+ iris: false
+widgets/visualize/owradviz.py:
+ class `RadvizVizRank`:
+ def `__init__`:
+ 'Maximum number of variables: ': 'Največje število spremenljivk: '
+ def `compute_score`:
+ ignore: false
+ class `OWRadvizGraph`:
+ def `update_anchors`:
+
{label}: false
+ ' ': false
+ \n: false
+ ...: false
+ class `OWRadviz`:
+ Radviz: Radviz
+ Display Radviz projection: Projekcija z Radvizom.
+ icons/Radviz-symbolic.svg: false
+ radviz, viz: radviz, viz
+ class `Warning`:
+ Categorical variables with more than two values are not shown.: Kategorične spremenljivke z več kot dvema vrednostima niso prikazane.
+ Maximum number of selected variables reached.: Doseženo je največje možno število izbranih spremenljivk.
+ def `_add_controls`:
+ Features: Spremenljivke
+ Suggest features: Predlagaj spremenljivke
+ def `_add_buttons`:
+ auto_commit: false
+ def `store_vizrank_n_attrs`:
+ n_attrs: false
+ def `init_vizrank`:
+ No data: Ni podatkov.
+ Not enough variables: Ni dovolj spremenljivk.
+ Color is not set.: Barva ni nastavljena.
+ No rows with defined color variable: Ni vrstic z definirano vrednostjo {self.attr_color.name}.
+ Not enough rows without missing data: Ni dovolj vrstic brez manjkajočih podatkov.
+ Constant data: Konstantni podatki.
+ def `_send_components_metas`:
+ angle: false
+ def `migrate_context`:
+ attr_color: false
+ graph: false
+ attr_size: false
+ attr_shape: false
+ attr_label: false
+ selected_vars: false
+ __main__: false
+ brown-selected: false
+widgets/visualize/owruleviewer.py:
+ class `OWRuleViewer`:
+ CN2 Rule Viewer: Pregledovalnik pravil CN2
+ Review rules induced from data.: Pregled pravil, sestavljenih iz podatkov.
+ icons/CN2RuleViewer.svg: false
+ cn2 rule viewer: cn2 rule viewer
+ class `Inputs`:
+ Data: Podatki
+ Classifier: Klasifikator
+ class `Outputs`:
+ Selected Data: Pokriti primeri
+ def `__init__`:
+ IF conditions: Pogoj
+ THEN class: Napoved
+ Distribution: Porazdelitev
+ Probabilities [%]: Verjetnosti [%]
+ Quality: Kvaliteta
+ Length: Dolžina
+ compact_view: false
+ Compact view: Stisnjen pregled
+ Restore original order: Izvirni vrstni red
+ def `set_classifier`:
+ rule_list: false
+ def `copy_to_clipboard`:
+ \n: false
+ def `send_report`:
+ Induced rules: Pravila
+ class `CustomRuleViewerTableModel`:
+ ==: false
+ =: false
+ !=: false
+ ≠: false
+ <=: false
+ ≤: false
+ >=: false
+ ≥: false
+ def `data`:
+ def `_display_role`:
+ ' AND ': ' IN '
+ ' AND\n': ' IN \n'
+ TRUE: Sicer
+ →: false
+ =: false
+ .1f: false
+ ' : ': false
+ {:.{}{}}: false
+ f: false
+ e: false
+ def `_tooltip_role`:
+ ' AND ': ' IN '
+ ' AND\n': ' IN\n'
+ \n: false
+ ': ': false
+ {:.1f}: false
+ %: false
+ __main__: false
+ iris: false
+widgets/visualize/owscatterplot.py:
+ class `ParameterSetter`:
+ def `axis_items`:
+ item: false
+ def `reg_line_label_items`:
+ label: false
+ class `OWScatterPlotGraph`:
+ def `_regression_line`:
+ r = {rvalue:.2f}: true
+ def `_add_line`:
+ label: false
+ def `update_reg_line_label_colors`:
+ label: false
+ def `_update_curve`:
+ '#505050': true
+ def `update_error_bars`:
+ '#505050': true
+ class `OWScatterPlot`:
+ Scatter Plot: Razsevni diagram
+ 'Interactive scatter plot visualization with ': Interaktivni prikaz podatkov z razsevnim diagramom.
+ intelligent data visualization enhancements.: ""
+ icons/ScatterPlot.svg: false
+ scatter plot: scatter plot, grafikon
+ class `Inputs`:
+ Features: Spremenljivki
+ class `Outputs`:
+ Features: Spremenljivki
+ class `Warning`:
+ "Plot cannot be displayed because '{}' or '{}' ": "Diagrama ni mogoče pokazati, ker '{}' ali '{}' "
+ is missing for all data points.: nima nobene znane vrednosti.
+ class `Information`:
+ Large SQL table; showing a sample.: Velika tabela SQL; kažem vzorec.
+ Points with missing '{}' or '{}' are not displayed: Točke z manjkajočo vrednostjo '{}' ali '{}' niso prikazane.
+ def `_add_controls`:
+ graph.orthonormal_regression: false
+ Treat variables as independent: Obravnavaj spremenljivki kot neodvisni
+ If checked, fit line to group (minimize distance from points);\n: Če je opcija izbrana, je črta postavljena čim bližje točkam;
+ otherwise fit y as a function of x (minimize vertical distances): sicer pa minimizira samo razdaljo v smeri y.
+ graph.show_ellipse: false
+ Show confidence ellipse: Prikaz elipse zaupanja
+ Hotelling's T² confidence ellipse (α=95%): Elipsa zaupanja po Hotellingu (α=95%)
+ def `_add_controls_axis`:
+ Axes: Osi
+ m: false
+ attr_x: false
+ Axis x:: Os x:
+ attr_y: false
+ Axis y:: Os y:
+ Find Informative Projections: Poišči informativne projekcije
+ def `_add_controls_sampling`:
+ auto_sample: false
+ Sample: Vzorec
+ Sampling: Vzorčenje
+ def `init_vizrank`:
+ No data on input: Ni podatkov.
+ Data is sparse: Podatki so v redki tabeli.
+ Not enough features for ranking: Ni dovolj spremenljivk za rangiranje.
+ Color variable is not selected: Barva ni izbrana.
+ Color variable has no values: Spremenljivka {self.attr_color} nima znanih vrednosti.
+ def `_point_tooltip`:
+
: false
+ {} = {}: false
+
{}{}: false
+ def `set_subset_data`:
+ Data subset does not support large Sql tables: V velikih tabelah iz SQL ni možno izbirati primerov.
+ def `get_axes`:
+ bottom: false
+ left: false
+ def `get_widget_name_extension`:
+ {} vs {}: {} in {}
+ def `_get_send_report_caption`:
+ Color: Barva
+ Label: Oznake
+ Shape: Oblika
+ Size: Velikost
+ Jittering: Tresenje
+ def `migrate_settings`:
+ selection: false
+ selection_group: false
+ auto_send_selection: false
+ auto_commit: false
+ graph: false
+ jitter_continuous: false
+ def `migrate_context`:
+ attr_color: false
+ graph: false
+ attr_size: false
+ attr_shape: false
+ attr_label: false
+ attr_x: false
+ attr_y: false
+ def `__get_bar_icons`:
+ Orange.widgets.visualize: false
+ icons/interval-horizontal.svg: false
+ icons/interval-vertical.svg: false
+ __main__: false
+ iris: false
+widgets/visualize/owscatterplotgraph.py:
+ class `LegendItem`:
+ def `addItem`:
+ left: false
+ class `ScatterPlotItem`:
+ def `setCoordinates`:
+ pen: false
+ brush: false
+ size: false
+ symbol: false
+ data: false
+ def `paint`:
+ visible: false
+ def `_get_aggregated_points`:
+ x: false
+ y: false
+ brush: false
+ def `pointsAt`:
+ visible: false
+ def `_define_symbols`:
+ ?: false
+ +: false
+ t: false
+ x: false
+ class `AxisItem`:
+ def `tickStrings`:
+ %Y: true
+ %Y %b: true
+ %Y %b %d: true
+ %Hh: true
+ %d %Hh: true
+ %H:%M: true
+ %H:%M:%S: true
+ %S.%f: true
+ class `ScatterBaseParameterSetter`:
+ Categorical legend: Kategorična legenda
+ Numerical legend: Številska legenda
+ class `OWScatterPlotBase`:
+ o x t + d star ?: false
+ def `__init__`:
+ left: false
+ bottom: false
+ def `_create_drag_tooltip`:
+ '{}: Append to group': {}: Dodaj k skupini
+ Cmd: true
+ darwin: false
+ Ctrl: true
+ 'Shift: Add group': Shift: Dodaj skupino
+ 'Alt: Remove': Alt: Odstrani
+
: false
+ ', ': false
+ : false
+
{}: false
+ def `get_sizes`:
+ ignore: false
+ def `update_sizes`:
+ impute_sizes: false
+ size: false
+ def `update_density`:
+ pen: false
+ def `get_shapes`:
+ impute_shapes: false
+ def `_update_color_legend`:
+ o: false
+ def `__adjust_pos`:
+ pxMode: false
+ def `get_dragged_points`:
+ set_coordinates: false
+ def `finish_dragging`:
+ finish_dragging: false
+widgets/visualize/owscoringsheetviewer.py:
+ class `ScoringSheetTable`:
+ def `__init__`:
+ Attribute Name: Ime spremenljivke
+ Points: Točke
+ Selected: Izbrano
+ class `RiskSlider`:
+ def `setup_labels`:
+
Total::
Skupaj::
+
Probabilities (%)::
Verjetnosti (%)::
+ def `update_label_frequency`:
+ 100.0%: false
+ def `paintEvent`:
+ %: false
+ def `handle_hover_event`:
+ '
{self.target_class}\n ': false
+ "
": false
+
Points: {int(points)}
:
Točke: {int(points)}
+
Probability: {probability:.1f}%:
Verjetnost: {probability:.1f}%
+ class `OWScoringSheetViewer`:
+ Scoring Sheet Viewer: Pregledovalnik točkovalnika
+ Visualize the scoring sheet model.: Prikaz točkovalnega modela.
+ icons/ScoringSheetViewer-symbolic.svg: false
+ orangecontrib.prototypes.widgets.owscoringsheetviewer.OWScoringSheetViewer: false
+ scoring sheet viewer: true
+ class `Inputs`:
+ Classifier: Klasifikator
+ Data: Podatki
+ class `Outputs`:
+ Features: Spremenljivke
+ class `Error`:
+ Scoring Sheet Viewer only accepts a Scoring Sheet model.: Pregledovalnik točkovalnika sprejema le točkovalni model.
+ class `Information`:
+ The input data contains multiple instances. Only the first instance will be used.: Vhodni podatki vsebujejo več primerov. Uporabljen bo le prvi primer.
+ def `_setup_gui`:
+ horizontal: false
+ target_class_index: false
+ Target class:: Ciljni razred:
+ def `_populate_interface`:
+ {class_var_name} = {class_var_value}: false
+ def `_extract_data_from_model`:
+ closest_observation: false
+ __main__: false
+ heart_disease: false
+widgets/visualize/owsieve.py:
+ class `ChiSqStats`:
+ def `__init__`:
+ ignore: false
+ class `OWSieveDiagram`:
+ Sieve Diagram: Sievov diagram
+ 'Visualize the observed and expected frequencies ': 'Prikaz pričakovanih in opaženih pogostosti '
+ for a combination of values.: za kombinacije spremenljivk.
+ icons/SieveDiagram-symbolic.svg: false
+ sieve diagram: sieve diagram, grafikon
+ class `Inputs`:
+ Data: Podatki
+ Features: Spremenljivki
+ class `Outputs`:
+ Selected Data: Izbrani podatki
+ canvas: false
+ class `Warning`:
+ Data does not meet the Cochran's rule\n{}: Podatki ne ustrezajo Cochranovemu pravilu\n{}
+ def `__init__`:
+ attr_x: false
+ \u2717: true
+ attr_y: false
+ Score Combinations: Oceni kombinacije
+ def `migrate_context`:
+ attrX: false
+ attr_x: false
+ attrY: false
+ attr_y: false
+ def `init_vizrank`:
+ No data: Ni podatkov.
+ Not enough data: Ni dovolj podatkov.
+ Data is sparse: Podatki so v redki tabeli.
+ def `resolve_shown_attributes`:
+ Features from the input signal are not present in the data: Spremenljivk na vhodnem signalu ni v vhodni tabeli.
+ def `update_graph`:
+ def `text`:
+ max_width: false
+ def `fmt`:
+ {:.2f}: false
+ def `make_tooltip`:
+ def `_oper`:
+ ' = ': false
+ ' ': false
+ <≥: false
+ ' in ': ' znotraj '
+ '
{attr}{eq}{val_name}: {obs}/{n} ({p:.0f} %)': false
+ '
combination of values:
+ expected {exp} ({p_exp:.0f} %)
+ observed {obs} ({p_obs:.0f} %)': '
kombinacija vrednosti:
+ pričakovanih {exp} ({p_exp:.0f} %)
+ opaženih {obs} ({p_obs:.0f} %)'
+ {xt}
{yt}
{ct}: false
+ Features {} and {} have no values: Spremenljivki {} in {} nimata znanih vrednosti.
+ Feature {} has no values: Spremenljivka {} nima znanih vrednosti.
+ χ²={:.2f}, p={:.3f}: true
+ 'N = ': true
+ def `_check_cochran`:
+ no cells in contingency table: kontingenčna tabela nima celic
+ some expected frequencies are below 1: nekatere pričakovane pogostosti so manjše od 1
+ more than 20% of expected frequencies are below 5: več kot 20 % pričakovanih pogostosti je manjših od 5
+ def `get_widget_name_extension`:
+ {} vs {}: {} in {}
+ __main__: false
+ zoo: false
+widgets/visualize/owsilhouetteplot.py:
+ class `NoGroupVariable`:
+ Input does not have any suitable labels: Vhodni podatki nimajo primerne spremenljivke za oznake
+ class `OWSilhouettePlot`:
+ Silhouette Plot: Silhuete
+ 'Visually assess cluster quality and ': Pokaže kvaliteto gručenja oz. skupin in pripadnost skupinam.
+ the degree of cluster membership.: ""
+ icons/SilhouettePlot-symbolic.svg: false
+ silhouette plot: silhouette plot
+ class `Inputs`:
+ Data: Podatki
+ class `Outputs`:
+ Selected Data: Izbrani podatki
+ orangecontrib.prototypes.widgets.owsilhouetteplot.OWSilhouettePlot: false
+ Orange.widgets.unsupervised.owsilhouetteplot.OWSilhouettePlot: false
+ Euclidean: Evklidska
+ Manhattan: Manhattanska
+ Cosine: Kosinusna
+ scene: false
+ class `Error`:
+ Need at least two non-empty clusters: Potrebni sta vsaj dve neprazni skupini
+ All clusters are singletons: Vse skupine imajo le en sam element.
+ Not enough memory: Premalo pomnilnika
+ "Distances could not be computed: '{}'": Razdalj ni mogoče izračunati: '{}'
+ {}: false
+ Distance matrix is not symmetric.: Matrika razdalj ni simetrična.
+ class `Warning`:
+ {} instance{s} omitted (missing cluster assignment): {} primer(ov) je izpuščenih (skupina ni znana)
+ {} instance{s} omitted (undefined distances): {} primer(ov) je izpuščenih (nedefinirana razdalja)
+ Ignoring categorical features: Ignoriram kategorične spremenljivke
+ def `__init__`:
+ Distance: Razdalja
+ distance_idx: false
+ Grouping: Skupine
+ (None): (Brez)
+ cluster_var: false
+ group_by_cluster: false
+ Show in groups: Pokaži v skupinah
+ Bars: Črte
+ Bar width:: Širina črt:
+ bar_size: false
+ Annotations:: Oznake:
+ annotation_var: false
+ (increase the width to show): (povečajte širino, da bodo vidne)
+ auto_commit: false
+ def `_set_distances`:
+ Distance matrix is not symmetric.: Matrika razdalj ni simetrična.
+ Input matrix does not have associated data: Matrika razdalj ne vsebuje podatkov.
+ def `_ensure_matrix`:
+ invalid state: false
+ def `_update`:
+ precomputed: false
+ s: false
+ def `commit`:
+ strictly increasing: false
+ Silhouette ({}): Silhueta ({})
+ def `send_report`:
+ 'Silhouette plot ': 'Silhueta '
+ '({self.Distances[self.distance_idx][0]} distance), ': '({self.Distances[self.distance_idx][0]} razdalja), '
+ clustered by '{self.cluster_var.name}': skupine glede na '{self.cluster_var.name}'
+ , annotated with '{self.annotation_var.name}': , označene z '{self.annotation_var.name}'
+ def `migrate_context`:
+ cluster_var_idx: false
+ cluster_var: false
+ annotation_var_idx: false
+ annotation_var: false
+ def `show_tool_tip`:
+ QTipLabel: false
+
{etext}: false
+ class `SilhouettePlot`:
+ def `setScores`:
+ scores and labels must be 1 dimensional: false
+ scores and labels must have the same shape: false
+ rownames must have the same size as scores: false
+ All indices in `labels` must be in `range(len(values))`: false
+ def `__setup`:
+ top: false
+ ' ({np.mean(group.scores):.3f})': false
+ bottom: false
+ class `Line`:
+ def `__init__`:
+ sizePolicy: false
+ class `BarPlotItem`:
+ def `__init__`:
+ '#3FCFCF': false
+ __main__: false
+ brown-selected: false
+widgets/visualize/owtreeviewer.py:
+ class `TreeNode`:
+ def `rect`:
+ _rect: false
+ def `boundingRect`:
+ attr: false
+ class `OWTreeGraph`:
+ Tree Viewer: Drevogled
+ icons/TreeViewer.svg: false
+ tree viewer: tree viewer
+ class `Inputs`:
+ Tree: Drevo
+ Classification Tree: false
+ Regression Tree: false
+ class `Outputs`:
+ Selected Data: Izbrani podatki
+ selected-data: false
+ annotated-data: false
+ Orange.widgets.classify.owclassificationtreegraph.OWClassificationTreeGraph: false
+ Orange.widgets.classify.owregressiontreegraph.OWRegressionTreeGraph: false
+ Default: Privzeto
+ Number of instances: Število primerov
+ Mean value: Srednja vrednost
+ Variance: Varianca
+ def `__init__`:
+ 'Target class: ': 'Ciljni razred: '
+ None: Brez
+ node_labels: false
+ Variable that identifies the instances in nodes.: Spremenljivka, ki identificira primere v vozliščih.
+ Node labels:: Oznake vozlišč:
+ show_intermediate: false
+ Show details in non-leaves: Podrobnosti v notranjih vozliščih
+ def `_update_node_info_attr_name`:
+
: false
+ def `_ctree_clean`:
+ No tree.: Ni drevesa.
+ def `_ctree_setup`:
+ 'Target class: ': 'Ciljni razred: '
+ None: Brez
+ 'Color by: ': 'Obarvaj po: '
+ {nodes} {pl(nodes, "node")}, {leaves} {pl(leaves, "leaf|leaves")}: {nodes} {plsi(nodes, "vozlišče|vozlišči|vozlišča|vozlišč")}, {leaves} {plsi(leaves, "list")}
+ def `node_tooltip`:
+ : false
+
: false
+
: false
+ {indent}– {to_html(str(rule))}: false
+
Selection
{rule}
:
Kriterij
{rule}
+ {nbp}
Distribution of '{name}'
:
Porazdelitev
{rule}
+
: false
+ : false
+ "| ◼ ": false
+ {escape(value)} | : false
+ {indent} | : false
+ {prop:g} | : false
+ {prop / total * 100:.1f} % | : false
+
: false
+
: false
+ {nbp}{class_var.name} = {mean:.3g} ± {var:.3g}
: false
+ ({self.tree_adapter.num_samples(node.node_inst)} instances): ({self.tree_adapter.num_samples(node.node_inst)} {plsi(self.tree_adapter.num_samples(node.node_inst), "primer")})
+ '{nbp}
Next split: {split}': {nbp}
Naslednja delitev: {split}
+
: false
+ def `send_report`:
+ Tree size: Velikost drevesa
+ Edge widths: Širina vej
+ Fixed: Enaka
+ Relative to root: Relativna glede na koren
+ Relative to parent: Relativna glede na starša
+ Target class: Ciljni razred
+ Color by: Obarvaj po
+ def `update_node_info`:
+
: false
+ ', ': false
+ , …: true
+ '
{text}
': false
+ def `node_content_cls`:
+
{escape(self.domain.class_vars[0].values[int(modus)])}: false
+ 100%, {total}/{total}: false
+ {100 * tabs:2.1f}%, {int(total * tabs)}/{total}: false
+ def `node_content_reg`:
+
{mean:.1f} ± {var:.1f}
: false
+ {insts} instances: {insts} {plsi(insts, "primer")}
+ __main__: false
+ titanic: false
+widgets/visualize/owtreeviewer2d.py:
+ class `GraphNode`:
+ def `__init__`:
+ edges: false
+ class `TextTreeNode`:
+ def `backgroundBrush`:
+ _background_brush: false
+ defaultItemBrush: false
+ QBrush: false
+ Background brush: false
+ def `setHtml`:
+ : false
+ : false
+ def `rect`:
+ _rect: false
+ def `boundingRect`:
+ _rect: false
+ class `TreeGraphicsView`:
+ resized: false
+ class `OWTreeViewer2D`:
+ scene: false
+ def `__init__`:
+ Tree: Drevo
+ No tree.: Ni drevesa.
+ Display: Prikaz
+ 'Zoom: ': 'Povečava: '
+ zoom: false
+ 'Width: ': 'Širina: '
+ max_node_width: false
+ 'Depth: ': 'Globina: '
+ max_tree_depth: false
+ Unlimited: Neomejena
+ {x} levels: {x} {plsi(x, "nivo|nivoja|nivoji|nivojev")}
+ 'Edge width: ': 'Širina povezav: '
+ line_width_method: false
+ Fixed: Enaka
+ Relative to root: Relativna glede na koren
+ Relative to parent: Relativna glede na starša
+ 'QToolTip { padding: 3px;
+ border: 1px solid #C0C0C0;
+ }': false
+ def `send_report`:
+ Tree: Drevo
+ .svg: false
+ def `node_tooltip`:
+ tree node: vozlišče drevesa
+widgets/visualize/owvenndiagram.py:
+ _InputData: false
+ key: false
+ name: false
+ table: false
+ _ItemSet: false
+ title: false
+ items: false
+ Instance identity: Identiteta vrstic
+ Instance equality: Enakost vrstic
+ class `OWVennDiagram`:
+ Venn Diagram: Vennov diagram
+ 'A graphical visualization of the overlap of data instances ': 'Grafični prikaz skupnih podatkov v '
+ from a collection of input datasets.: različnih tabelah.
+ icons/VennDiagram.svg: false
+ venn diagram: venn diagram, grafikon
+ class `Inputs`:
+ Data: Podatki
+ class `Outputs`:
+ Selected Data: Izbrani podatki
+ class `Error`:
+ Data sets do not contain the same instances.: Vhodni podatki ne vsebujejo istih primeov.
+ Venn diagram accepts at most five datasets.: Vennov diagram lahko sprejme največ pet tabel.
+ class `Warning`:
+ 'Some variables have been renamed ': 'Nekatere spremenljivke so preimenovane v izogib '
+ to avoid duplicates.\n{}: ponavljanju imen.\n{}
+ scene: false
+ attributes: false
+ metas: false
+ class_vars: false
+ X: false
+ Y: false
+ x: false
+ y: false
+ def `__init__`:
+ rowwise: false
+ Columns (features): Stolpci (spremenljivke)
+ Rows (instances), matched by: Vrstice (primeri), ujemanje glede na
+ selected_feature: false
+ 'Instances are identical if originally coming from the ': Vrstici sta "enaki", če izvirata iz iste vrstice neke tabele.
+ same row of the same table.\n: ""
+ 'Instances can be check for equality only if described by ': Enakost vrstic je možno primerjati le, če sta opisani z istimi spremenljivkami.
+ the same variables.: ""
+ output_duplicates: false
+ Output duplicates: Ponovljeni primeri na izhodu.
+ autocommit: false
+ def `_createDiagram`:
+ '{}
(all: {})': {}
(vsi: {})
+ {}: false
+ {0}: false
+
|{}| = {}
: false
+
: false
+ ', ': false
+ ({len(area_items) - 32} items not shown): ' in še {z_besedo(len(area_items) - 32, 1, "f")} {plsi(len(area_items) - 32, "druga spremenljivka|drugi spremenljivki|druge spremenljivke|drugih spremenljivk")}'
+ : false
+ def `merge_data`:
+ ', ': false
+ attributes: false
+ metas: false
+ class_vars: false
+ def `extract_columnwise`:
+ {var_name.name} ({idx}): false
+ attributes: false
+ Selected: false
+ ', ': false
+ def `create_from_columns`:
+ attributes: false
+ def `extract_rowwise`:
+ {} ({}): false
+ ', ': false
+ def `get_indices`:
+ metas: false
+ def `extract_rowwise_duplicates`:
+ name: false
+ attributes: false
+ metas: false
+ class_vars: false
+ def `migrate_settings`:
+ selected_feature: false
+ def `disjoint_set_label`:
+ INTERSECTION: false
+ c: false
+ def `label_for_index`:
+ A: false
+
: false
+ : false
+ class `VennDiagram`:
+
{0}
{1}: false
+ def `_on_editingStarted`:
+
: false
+ def `append_column`:
+ X: false
+ Y: false
+ M: false
+ def `main`:
+ brown-selected: false
+ test_rows: false
+ M: false
+ Test: false
+ A: false
+ __main__: false
+widgets/visualize/owviolinplot.py:
+ class `ParameterSetter`:
+ Bottom axis: Spodnja os
+ Vertical tick text: Navpično besedilo
+ def `axis_items`:
+ item: false
+ def `bottom_axis`:
+ bottom: false
+ class `ViolinItem`:
+ RugPlot: false
+ support, density: false
+ class `ViolinPlot`:
+ def `__init__`:
+ bottom: false
+ left: false
+ def `order_items`:
+ bottom: false
+ left: false
+ def `_set_axes`:
+ left: false
+ bottom: false
+ def `_clear_axes`:
+ left: false
+ bottom: false
+ class `OWViolinPlot`:
+ Violin Plot: Violine
+ Visualize the distribution of feature: Porazdelitev vrednosti v
+ ' values in a violin plot.': ' vizualizaciji z violinami.'
+ icons/ViolinPlot.svg: false
+ violin plot, kernel, density: violin plot, kernel, density, jedro, gostota, porazdelitev
+ class `Inputs`:
+ Data: Podatki
+ class `Outputs`:
+ Selected Data: Izbrani podatki
+ class `Error`:
+ Plotting requires a numeric feature.: Risati je mogoče le številske spremenljivke.
+ Plotting requires at least two instances.: Risanje zahteva vsaj dva primera.
+ gaussian: false
+ epanechnikov: false
+ linear: false
+ Normal: Normalno
+ Epanechnikov: Epanechikovo
+ Linear: Linearno
+ Area: Površina
+ Count: Število primerov
+ Width: Širina
+ graph.plotItem: false
+ def `_add_controls`:
+ None: (Brez skupin)
+ Variable: Spremenljivka
+ order_by_importance: false
+ Order by relevance to subgroups: Uredi glede na različnost po skupinah
+ Order by 𝜒² or ANOVA over the subgroups: Uredi glede na vrednost 𝜒² ali ANOVA med skupinami
+ Subgroups: Skupine
+ order_grouping_by_importance: false
+ Order by relevance to variable: Uredi glede na pomembnost spremenljivke
+ Order by 𝜒² or ANOVA over the variable values: Uredi glede na vrednost 𝜒² ali ANOVA med vrednostmi spremenljivke
+ Display: Prikaz
+ show_box_plot: false
+ Box plot: Škatla z brki
+ show_strip_plot: false
+ Density dots: Preproga točk
+ show_rug_plot: false
+ Density lines: Proge
+ order_violins: false
+ Order subgroups: Uredi skupine
+ show_grid: false
+ Show grid: Pokaži mrežo
+ orientation_index: false
+ Horizontal: Vodoravna
+ Vertical: Navpična
+ 'Orientation: ': 'Smer: '
+ Density Estimation: Ocenjevanje gostote
+ kernel_index: false
+ Kernel:: Jedro:
+ scale_index: false
+ Scale:: Velikost:
+ def `init_list_view`:
+ hidden: false
+ __main__: false
+ heart_disease: false
+widgets/visualize/pythagorastreeviewer.py:
+ Square: false
+ center: false
+ length: false
+ angle: false
+ Point: false
+ x: false
+ y: false
+ class `PythagorasTreeViewer`:
+ def `__init__`:
+ interactive: false
+ target_class_index: false
+ weight_adjustment: false
+ class `SquareGraphicsItem`:
+ def `__init__`:
+ brush: false
+ '#297A1F': false
+ zvalue: false
+ class `TreeNode`:
+ def `_rules_str`:
+
: false
+
%s: false
+ class `DiscreteTreeNode`:
+ def `tooltip`:
+
: false
+
: false
+ {}/{} samples ({:2.3f}%): {}/{} primerov ({:2.3f}%)
+
: false
+ 'Split by ': Delitev glede na
+
: false
+ : false
+ class `ContinuousTreeNode`:
+ None: (Enaka barva)
+ Mean: Povprečje
+ Standard deviation: Standardni odklon
+ def `tooltip`:
+ '
Mean: {:2.3f}':
Povprečje: {:2.3f}
+ '
Standard deviation: {:2.3f}':
Standardni odklon: {:2.3f}
+
{} samples:
{} primerov
+
: false
+ 'Split by ': Delitev glede na
+
: false
+ : false
+widgets/visualize/utils/__init__.py:
+ class `VizRankDialog`:
+ class `Information`:
+ There is nothing to rank.: Ni česa rangirati.
+ def `__init__`:
+ Orange.widgets.visualize.utils.vizrank.VizRankDialog: false
+ Filter ...: false
+ Start: Začni
+ def `initialize`:
+ Start: Začni
+ def `on_done`:
+ Finished: Končano
+ def `toggle`:
+ Pause: Počakaj
+ Continue: Nadaljuj
+ def `run_vizrank`:
+ Getting combinations...: Sestavljam kombinacije...
+ Getting scores...: Ocenjujem...
+ class `VizRankDialogAttrPair`:
+ def `__init__`:
+ xy_changed_manually: false
+ def `row_for_state`:
+ name: false
+ ', ': false
+ class `CanvasText`:
+ def `elide`:
+ ...: true
+ class `ViewWithPress`:
+ def `__init__`:
+ handler: false
+widgets/visualize/utils/component.py:
+ class `AnchorParameterSetter`:
+ Anchor: Sidro
+widgets/visualize/utils/customizableplot.py:
+ def `available_font_families`:
+ .: false
+ class `Updater`:
+ Font family: Pisava
+ Font size: Velikost pisave
+ Italic: Poševno
+ Width: Širina
+ Opacity: Neprosojnost
+ Style: Slog
+ Antialias: Mehčanje
+ Solid line: Polna črta
+ Dash line: Prekinjena črta
+ Dot line: Pikčasta črta
+ Dash dot line: Črta - pika
+ Dash dot dot line: Črta - pika - pika
+ def `update_axes_titles_font`:
+ foreground: false
+ normal: false
+ italic: false
+ font-size: false
+ {font.pointSize()}pt: false
+ font-family: false
+ {font.family()}: false
+ color: false
+ font-style: false
+ {fstyle}: false
+ def `update_axes_ticks_font`:
+ tickFont: false
+ def `update_legend_font`:
+ size: false
+ def `update_lines`:
+ pen: false
+ def `update_inf_lines`:
+ label: false
+ class `CommonParameterSetter`:
+ Fonts: Pisave
+ Annotations: Oznake
+ Figure: Slika
+ Font family: Oblika pisave
+ Axis title: Ime osi
+ Axis ticks: Črte na osi
+ Legend: Legenda
+ Label: Oznake
+ Line label: Oznaka črte
+ x-axis title: false
+ y-axis title: false
+ Title: Naslov
+ Lines: Črte
+ def `__init__`:
+ bottom: false
+ left: false
+widgets/visualize/utils/error_bars_dialog.py:
+ class `ErrorBarsDialog`:
+ def `__init__`:
+ (None): (Brez)
+ Difference from plotted value: Odmik od vrednosti
+ Absolute position on the plot: Absolutni položaj na grafu
+ Upper:: Zgornje:
+ Lower:: Spodnje:
+ __main__: false
+ Open: false
+ iris: false
+widgets/visualize/utils/heatmap.py:
+ class `ColorMap`:
+ def `replace`:
+ ColorMap: false
+ class `CategoricalColorMap`:
+ def `replace`:
+ CategoricalColorMap: false
+ colortable: false
+ names: false
+ class `GradientColorMap`:
+ def `adjust_levels`:
+ low > high ({low} > {high}): false
+ def `apply`:
+ ignore: false
+ unsafe: false
+ def `replace`:
+ GradientColorMap: false
+ colortable: false
+ thresholds: false
+ center: false
+ span: false
+ def `normalized_indices`:
+ RowItem: false
+ ColumnItem: false
+ class `HeatmapGridWidget`:
+ class `Parts`:
+ RowItem: false
+ ColumnItem: false
+ def `setHeatmaps`:
+ Parts: false
+ row-labels-right: false
+ column-labels-top: false
+ column-labels-bottom: false
+ annotation-legend-container: false
+ row-annotation-legend-container: false
+ col-annotation-legend-container: false
+ def `heatmapAtPos`:
+ GraphicsHeatmapWidget: false
+ class `GraphicsHeatmapWidget`:
+ def `heatmapCellToolTip`:
+ '{}, {}: {:g}': false
+ class `_GradientLegendAxisItem`:
+ def `boundingRect`:
+ top: false
+ bottom: false
+ tickFont: false
+ 0.0000000: false
+ class `GradientLegendWidget`:
+ def `__init__`:
+ sizePolicy: false
+ top: false
+ def `__update`:
+ {:.6g}: false
+ class `CategoricalColorLegend`:
+ def `__init__`:
+ sizePolicy: false
+ def `_setup`:
+ X: false
+ def `_updateFont`:
+ X: false
+widgets/visualize/utils/lac.py:
+ def `create_sql_contingency`:
+ %s IS NOT NULL: false
+ COUNT(%s): false
+ float: false
+ def `lac`:
+ Initializing: false
+ Done: false
+ def `get_bin_centers`:
+ []()<>=≥: false
+ -: false
+widgets/visualize/utils/owlegend.py:
+ class `Anchorable`:
+ topLeft: false
+ topRight: false
+ bottomLeft: false
+ bottomRight: false
+ def `__init__`:
+ bottomRight: false
+ class `ContinuousLegendItem`:
+ def `_format_values`:
+ {:.3f}: false
+ class `OWDiscreteLegend`:
+ def `set_domain`:
+ '[OWDiscreteLegend] The class var provided ': false
+ was not discrete.: false
+ class `OWContinuousLegend`:
+ def `__init__`:
+ range: false
+ def `set_domain`:
+ '[OWContinuousLegend] The class var provided ': false
+ was not continuous.: false
+widgets/visualize/utils/plotutils.py:
+ class `TextItem`:
+ setAnchor: false
+ class `InteractiveViewBox`:
+ def `mouseDragEvent`:
+ def `select`:
+ unsuspend_jittering: false
+ suspend_jittering: false
+ get_dragged_points: false
+ mouseMode: false
+ class `PaletteItemSample`:
+ def `__init__`:
+ {{:.{}f}}: false
+ {} - {}: false
+ class `StyledAxisItem`:
+ def `__clear_labelStyle_color`:
+ color: false
+ class `AxisItem`:
+ def `__init__`:
+ rotateTicks: false
+ def `setRotateTicks`:
+ rotateTicks: false
+ def `drawPicture`:
+ bottom: false
+ top: false
+ rotateTicks: false
+ tickFont: false
+ tickTextOffset: false
+ class `PlotWidget`:
+ def `__init__`:
+ axisItems: false
+ left: false
+ bottom: false
+ class `PlotItem`:
+ def `__init__`:
+ axisItems: false
+ left: false
+ bottom: false
+widgets/visualize/utils/scene.py:
+ class `UpdateItemsOnSelectGraphicsScene`:
+ def `__handle_selection`:
+ selection_changed: false
+widgets/visualize/utils/tree.py:
+ {__name__} module was moved. Use {tree.__name__} instead: false
+widgets/visualize/utils/vizrank.py:
+ class `VizRankDialog`:
+ Score Plots: Oceni prikaze
+ Start: Začni
+ Pause: Počakaj
+ Continue: Nadaljuj
+ Finished: Končano
+ def `__init__`:
+ Filter ...: true
+ Start: Začni
+ def `set_run_state`:
+ {self.captionTitle} (paused at {self._progress}%): {self.captionTitle} (čaka pri {self._progress}%)
+ def `VizRankMixin`:
+ {vizrank_class.__name__}Mixin: false
+ class `VizRankDialogAttrs`:
+ def `__init__`:
+ Orange.data.Table: false
+ Orange.data.Variable: false
+ def `attr_order`:
+ Orange.data.Variable: false
+ def `row_for_state`:
+ ', ': true
+ def `auto_select`:
+ Orange.data.Variable: false
+ class `VizRankDialogNAttrs`:
+ def `__init__`:
+ Orange.data.Table: false
+ Orange.data.Variable: false
+ 'Number of variables: ': 'Število spremenljivk: '
+ def `on_n_attrs_changed`:
+ Restart with {new_attrs} variables: Ponovno poženi {plsi_sz(new_attrs)} {z_besedo(new_attrs, 6, "f")} {plsi(new_attrs, "spremenljivko|spremenljivkama|spremenljivkami")}
+ def `emit_run_state_changed`:
+ n_attrs: false
+widgets/visualize/utils/widget.py:
+ class `OWProjectionWidgetBase`:
+ class `Information`:
+ Points with undefined '{}' are shown in smaller size: Točke z neznano vrednostjo '{}' so manjše.
+ Points with undefined '{}' are shown as crossed circles: Točke z neznano vrednostjo '{}' so prečrtane.
+ def `init_attr_values`:
+ attr_color: false
+ attr_shape: false
+ attr_size: false
+ attr_label: false
+ def `get_column`:
+ Other: Drugo
+ def `_point_tooltip`:
+ def `show_part`:
+ {} = {}: false
+ ... and {over} {pl(over, 'other')}: ... in še {over}
+
{name}:
: false
+
: false
+ {pl(len(dom.class_vars), 'Class|Classes')}: {plsi(len(dom.class_vars), 'Razred|Razreda|Razredi')}
+ {pl(len(dom.metas), 'Meta')}: Meta {plsi(len(dom.metas), 'spremenljivka|spremenljivki|spremenljivki')}
+ {pl(len(dom.attributes), 'Feature')}: {plsi(len(dom.attributes), 'Atribut|Atributa|Atributi')}
+
: false
+ def `get_tooltip`:
+
: false
+ {len(point_ids)} instances
{text}
...: {len(point_ids)} {plsi(len(point_ids), "primer")}
{text}
...
+ class `OWDataProjectionWidget`:
+ class `Inputs`:
+ Data: Podatki
+ Data Subset: Podmnožica podatkov
+ class `Outputs`:
+ Selected Data: Izbrani podatki
+ class `Warning`:
+ Too many labels to show (zoom in or label only selected): Preveč oznak (povečaj ali izberi 'Označi samo izbor in podmnožico')
+ 'Subset data contains some instances that do not appear in ': 'Podmnožica podatkov vsebuje nekatere primere, ki niso med '
+ input data: vhodnimi podatki
+ No subset data instances appear in input data: Vhodni podatki ne vsebujejo nobenega podatke iz podane podmnožice.
+ Increase opacity if subset is difficult to see: Če je podmnožico težko videti, zmanjšaj prosojnost.
+ graph.plot_widget.plotItem: false
+ proj-x: false
+ proj-y: false
+ def `_add_buttons`:
+ auto_commit: false
+ def `_get_selected_data`:
+ Group: Skupina
+ def `_get_send_report_caption`:
+ Color: Barva
+ Label: Oznaka
+ Shape: Oblika
+ Size: Velikost
+ Jittering: Pretresanje
+ {} %: false
+ class `OWAnchorProjectionWidget`:
+ class `Outputs`:
+ Components: Komponente
+ class `Error`:
+ Sparse data is not supported: Redki podatki niso podprti
+ No projection due to no valid data: Ni veljavnih podatkov, ni projekcije.
+ At least two data instances are required: Potrebna sta vsaj dva primera.
+ An error occurred while projecting data.\n{}: Napaka med projeciranjem podatkov.\n{}
+ def `send_components`:
+ component: false
+ components: komponente
+ __main__: false
+ class `OWProjectionWidgetWithName`:
+ projection: false
+ iris: false
diff --git a/i18n/si/static/canvas/workflows/si/110-file-and-data-table-widget.ows b/i18n/si/static/canvas/workflows/si/110-file-and-data-table-widget.ows
new file mode 100644
index 00000000000..5a20af423d8
--- /dev/null
+++ b/i18n/si/static/canvas/workflows/si/110-file-and-data-table-widget.ows
@@ -0,0 +1,51 @@
+
+
+
+
+
+
+
+
+
+
+ Gradnik Datoteka. Z dvojnim klikom ga odpri in izberi datoteko s podatki.
+ Izhod gradnika Datoteka.
+ Vhod gradnika Tabela.
+ Komunikacijski kanal. Ta prenese podatke iz gradnika Datoteka v gradnik Tabela.
+ Gradnik Tabela. Dvakrat klikni ikono, da si ogledaš podatke v preglednici.
+ Izhod gradnika Tabela pošlje naprej vse podatke (vrstice), ki so izbrani v gradniku.
+ Ta izhod ni uporabljen, zato je črta črtkana. Dodaš lahko še eno Tabelo s klikom na njeno ikono v orodjarni na levi strani. Nato poveži izhod gradnika Tabela z vhodom gradnika Tabela (1) in preveri, ali se izbrani podatki iz prvotne tabele res pošljejo v drugo tabelo za nadaljnjo obdelavo. To se najbolje opazi, če bosta oba gradnika odprta, to je, če sta njuni okni prikazani.
+
+
+
+
+
+
+
+
+
+
+ gASVuAMAAAAAAAB9lCiMEmNvbnRyb2xBcmVhVmlzaWJsZZSIjAxyZWNlbnRfcGF0aHOUXZSMHm9y
+YW5nZXdpZGdldC51dGlscy5maWxlZGlhbG9nc5SMClJlY2VudFBhdGiUk5QpgZR9lCiMB2Fic3Bh
+dGiUjC0vVXNlcnMvamFuZXovb3JhbmdlMy9PcmFuZ2UvZGF0YXNldHMvaXJpcy50YWKUjAZwcmVm
+aXiUjA9zYW1wbGUtZGF0YXNldHOUjAdyZWxwYXRolIwIaXJpcy50YWKUjAV0aXRsZZSMAJSMBXNo
+ZWV0lGgQjAtmaWxlX2Zvcm1hdJROdWJhjAtyZWNlbnRfdXJsc5RdlIwTc2F2ZWRXaWRnZXRHZW9t
+ZXRyeZRDLgHZ0MsAAQAAAAACEwAAATwAAAOqAAACNQAAAhMAAAFSAAADqgAAAjUAAAAAAACUjAtz
+aGVldF9uYW1lc5R9lIwGc291cmNllEsAjAN1cmyUaBCMDWRvbWFpbl9lZGl0b3KUfZSMC19fdmVy
+c2lvbl9flEsBjBBjb250ZXh0X3NldHRpbmdzlF2UjBVvcmFuZ2V3aWRnZXQuc2V0dGluZ3OUjAdD
+b250ZXh0lJOUKYGUfZQojAR0aW1llEdB1qcWDLpbX4wGdmFsdWVzlH2UKIwJdmFyaWFibGVzlF2U
+aBt9lGgoXZQoXZQojAxzZXBhbCBsZW5ndGiUjBRPcmFuZ2UuZGF0YS52YXJpYWJsZZSMEkNvbnRp
+bnVvdXNWYXJpYWJsZZSTlEsAaBCIZV2UKIwLc2VwYWwgd2lkdGiUaDBLAGgQiGVdlCiMDHBldGFs
+IGxlbmd0aJRoMEsAaBCIZV2UKIwLcGV0YWwgd2lkdGiUaDBLAGgQiGVdlCiMBGlyaXOUaC6MEERp
+c2NyZXRlVmFyaWFibGWUk5RLAYwsSXJpcy1zZXRvc2EsIElyaXMtdmVyc2ljb2xvciwgSXJpcy12
+aXJnaW5pY2GUiWVlc2gdSwF1jAphdHRyaWJ1dGVzlCiMDHNlcGFsIGxlbmd0aJRLAoaUjAtzZXBh
+bCB3aWR0aJRLAoaUjAxwZXRhbCBsZW5ndGiUSwKGlIwLcGV0YWwgd2lkdGiUSwKGlHSUjAVtZXRh
+c5QpjApjbGFzc192YXJzlIwEaXJpc5RdlCiMC0lyaXMtc2V0b3NhlIwPSXJpcy12ZXJzaWNvbG9y
+lIwOSXJpcy12aXJnaW5pY2GUZYaUhZSMEm1vZGlmaWVkX3ZhcmlhYmxlc5RdlHViYXUu
+
+ {'auto_commit': True, 'color_by_class': True, 'controlAreaVisible': True, 'savedWidgetGeometry': None, 'select_rows': True, 'show_attribute_labels': True, 'show_distributions': False, 'stored_selection': {'rows': [], 'columns': []}, 'stored_sort': [], '__version__': 1}
+
+
+
+
+
diff --git a/i18n/si/static/canvas/workflows/si/120-scatterplot-data-table.ows b/i18n/si/static/canvas/workflows/si/120-scatterplot-data-table.ows
new file mode 100644
index 00000000000..f3ace4e24f7
--- /dev/null
+++ b/i18n/si/static/canvas/workflows/si/120-scatterplot-data-table.ows
@@ -0,0 +1,62 @@
+
+
+
+
+
+
+
+
+
+
+
+
+ Ta gradnik Datoteka je nastavljen za branje nabora podatkov Iris. Z dvojnim klikom na ikono lahko spremeniš vhodno podatkovno datoteko in opazuješ, kako ta delotok deluje za nekatere druge primere podatkov (na primer housing).
+ Za vizualizacijo podatkov dvakrat klikni ikono Razsevni diagram. Nato izberi podmnožico podatkov tako, da izbereš točke na razsevnem diagramu.
+ Gradnik Tabela prikazuje podmnožico podatkov, izbrano v gradniku Razsevni diagram.
+
+
+
+ Poskusi povezati kakšen drug gradnik z izhodom gradnika Razsevni diagram. Recimo gradnik Škatla z brki (orodjarna, podokno Vizualizacija). Škatla z brki bo prikazala porazdelitve podmnožice podatkov, izbrane v Razsevnem diagramu.
+
+
+
+
+ gASVvAMAAAAAAAB9lCiMEmNvbnRyb2xBcmVhVmlzaWJsZZSIjAxyZWNlbnRfcGF0aHOUXZSMHm9y
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+
+ {'auto_commit': True, 'color_by_class': True, 'controlAreaVisible': True, 'savedWidgetGeometry': None, 'select_rows': True, 'show_attribute_labels': True, 'show_distributions': False, 'stored_selection': {'rows': [], 'columns': []}, 'stored_sort': [], '__version__': 1}
+
+
+
+
+
diff --git a/i18n/si/static/canvas/workflows/si/130-scatterplot-visualize-subset.ows b/i18n/si/static/canvas/workflows/si/130-scatterplot-visualize-subset.ows
new file mode 100644
index 00000000000..07127a8b15f
--- /dev/null
+++ b/i18n/si/static/canvas/workflows/si/130-scatterplot-visualize-subset.ows
@@ -0,0 +1,61 @@
+
+
+
+
+
+
+
+
+
+
+
+
+
+ (1) Odpri Tabelo in izberi primerke podatkov ali podmnožico primerkov (uporabi tipko shift).
+ (2) Odpri Razsevni diagram in opazuj izbrano podmnožico podatkov v Tabeli.
+ Z dvojnim klikom na ta kanal preveri, ali se podatki iz Tabele dejansko posredujejo kot podmnožica podatkov.
+
+
+
+
+
+
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+
+ {'auto_commit': True, 'color_by_class': True, 'controlAreaVisible': True, 'savedWidgetGeometry': None, 'select_rows': True, 'show_attribute_labels': True, 'show_distributions': False, 'stored_selection': {'rows': [], 'columns': []}, 'stored_sort': [], '__version__': 1}
+
+
+
+
+
diff --git a/i18n/si/static/canvas/workflows/si/250-tree-scatterplot.ows b/i18n/si/static/canvas/workflows/si/250-tree-scatterplot.ows
new file mode 100644
index 00000000000..c2f9ba92ed3
--- /dev/null
+++ b/i18n/si/static/canvas/workflows/si/250-tree-scatterplot.ows
@@ -0,0 +1,101 @@
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ Naloži podatke o Irisu ("iris.tab") iz predhodno naloženih dokumentacijskih zbirk podatkov.
+
+
+ Vsaka sprememba pri izbiri drevesnega vozlišča spremeni upodobitev v razsevnem diagramu.
+
+ Dvakrat klikni na ta gradnik in izberi poljubno vozlišče v drevesu.
+
+ Podatki, izbrani v drevogledu, se prenesejo v vse nadaljnje gradnike v delotoku.
+ Ta delotok deluje najbolje, če so hkrati odprti Drevogled, Razsevni diagram in Škatla z brki.
+
+
+
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+
+ {'auto_apply': True, 'binary_trees': True, 'controlAreaVisible': True, 'learner_name': 'Drevo', 'limit_depth': True, 'limit_majority': True, 'limit_min_internal': True, 'limit_min_leaf': True, 'max_depth': 100, 'min_internal': 5, 'min_leaf': 2, 'savedWidgetGeometry': b'\x01\xd9\xd0\xcb\x00\x03\x00\x00\x00\x00\x02\x90\x00\x00\x015\x00\x00\x04U\x00\x00\x02g\x00\x00\x02\x90\x00\x00\x015\x00\x00\x04U\x00\x00\x02g\x00\x00\x00\x00\x00\x00\x00\x00\x07\x80\x00\x00\x02\x90\x00\x00\x015\x00\x00\x04U\x00\x00\x02g', 'sufficient_majority': 95, '__version__': 1}
+
+
+
+
+
diff --git a/i18n/si/static/canvas/workflows/si/305-pca.ows b/i18n/si/static/canvas/workflows/si/305-pca.ows
new file mode 100644
index 00000000000..7a1272b760e
--- /dev/null
+++ b/i18n/si/static/canvas/workflows/si/305-pca.ows
@@ -0,0 +1,109 @@
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ Odpri, da si ogledaš diagram razpršenosti in interaktivno izbereš število komponent.
+ Izberi dve najboljši osnovni komponenti in preveri, ali so razredi iz vhodnega nabora podatkov dobro ločeni.
+ Gradnik Datoteka naloži nabor podatkov brown-selected iz molekularne biologije z 79 spremenljivkami, 186 primerki in 3 razredi.
+
+
+
+
+
+
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+
+
+
+
+
diff --git a/i18n/si/static/canvas/workflows/si/310-clustering.ows b/i18n/si/static/canvas/workflows/si/310-clustering.ows
new file mode 100644
index 00000000000..61c2be318ab
--- /dev/null
+++ b/i18n/si/static/canvas/workflows/si/310-clustering.ows
@@ -0,0 +1,163 @@
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ Datoteka prebere podatke. Poskusi to shemo z "brown-selected" podatki (iz zbirk podatkov, ki so priložene programu Orange).
+ Vizualiziraj podatkovne razdalje v toplotni gredi.
+ Izberi poljubni del dendrograma v Hierarhičnem gručenju, nato opazuj izbrane podatke v tabeli ali v katerem drugem gradniku za analizo. Odpri gradnik Hierarhično gručenje in gradnik Tabela (1), da to shemo spremeniš v interaktivno analizo podatkov.
+ Vsaka sprememba izbire v hierarhičnem gručenju se bo prenesla v gradnika Tabela (1) in Škatla z brki.
+ Hierarhično gručenje podatkov.
+ Izračuna razdalje med vzorci podatkov.
+
+
+
+
+
+
+
+
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diff --git a/i18n/si/static/canvas/workflows/si/410-feature-ranking.ows b/i18n/si/static/canvas/workflows/si/410-feature-ranking.ows
new file mode 100644
index 00000000000..ec9011da643
--- /dev/null
+++ b/i18n/si/static/canvas/workflows/si/410-feature-ranking.ows
@@ -0,0 +1,193 @@
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ Manjkajoče vrednosti smo nadomestili, da smo lahko vizualizirali vse podatkovne točke.
+ Razsevni diagram z najbolj informativnimi spremenljivkami. Ali dobro ločujejo razrede? Odpri gradnik in preveri.
+ Prikaže ocene spremenljivk. Ta gradnik smo uporabili za izbiro dveh najbolj informativnih spremenljivk.
+
+
+
+
+
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diff --git a/i18n/si/static/canvas/workflows/si/450-cross-validation.ows b/i18n/si/static/canvas/workflows/si/450-cross-validation.ows
new file mode 100644
index 00000000000..f58605bbbe2
--- /dev/null
+++ b/i18n/si/static/canvas/workflows/si/450-cross-validation.ows
@@ -0,0 +1,92 @@
+
+
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+
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+
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+
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+
+
+
+ Izberi zbirko podatkov z oznako razreda. Recimo "iris.tab" iz zbirke podatkov v dokumentaciji.
+ Vedno je dobro najprej preveriti podatke.
+ Izberi celico v Matriki zmot, da pridobiš ustrezne primerke podatkov. Poglej jih v preglednici.
+ Uporabi Matriko zmot za dodatno analizo rezultatov prečnega preverjanja.
+ Tu se izvede prečno preverjanje. Z dvojnim klikom si lahko ogledaš rezultate napovedne točnosti.
+ Pri prečnem preverjanju je lahko hkrati ocenjenih več modelov (učnih algoritmov).
+
+
+
+
+
+
+
+
+
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+ {'C_index': 61, 'auto_apply': True, 'class_weight': False, 'controlAreaVisible': True, 'learner_name': 'Logistična regresija', 'penalty_type': 1, 'savedWidgetGeometry': None, '__version__': 2}
+ {'auto_apply': True, 'class_weight': False, 'controlAreaVisible': True, 'index_output': 0, 'learner_name': 'Naključni gozd', 'max_depth': 3, 'max_features': 5, 'min_samples_split': 5, 'n_estimators': 10, 'savedWidgetGeometry': None, 'use_max_depth': False, 'use_max_features': False, 'use_min_samples_split': True, 'use_random_state': False, '__version__': 1}
+ {'C': 1.0, 'auto_apply': True, 'coef0': 0.0, 'controlAreaVisible': True, 'degree': 3, 'epsilon': 0.1, 'gamma': 0.0, 'kernel_type': 0, 'learner_name': 'SVM', 'limit_iter': True, 'max_iter': 100, 'nu': 0.5, 'nu_C': 1.0, 'savedWidgetGeometry': None, 'svm_type': 0, 'tol': 0.001, '__version__': 1}
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+SwF1dWJhdS4=
+
+ {'auto_commit': True, 'color_by_class': True, 'controlAreaVisible': True, 'savedWidgetGeometry': None, 'select_rows': True, 'show_attribute_labels': True, 'show_distributions': False, 'stored_selection': {'rows': [], 'columns': []}, 'stored_sort': [], '__version__': 1}
+ {'auto_commit': True, 'color_by_class': True, 'controlAreaVisible': True, 'savedWidgetGeometry': None, 'select_rows': True, 'show_attribute_labels': True, 'show_distributions': False, 'stored_selection': {'rows': [], 'columns': []}, 'stored_sort': [], '__version__': 1}
+
+
+
+
+
diff --git a/i18n/si/static/canvas/workflows/si/470-misclassification-scatterplot.ows b/i18n/si/static/canvas/workflows/si/470-misclassification-scatterplot.ows
new file mode 100644
index 00000000000..9d53ada4a64
--- /dev/null
+++ b/i18n/si/static/canvas/workflows/si/470-misclassification-scatterplot.ows
@@ -0,0 +1,95 @@
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ Prikazuje različne vrste napačnih klasifikacij. Pri podatkovni zbirki Iris je Iris virginica zamenjan z versicolor in obratno.
+ Napačne klasifikacije za podatkovno zbirko Iris so najbolje vidne pri projekciji dolžine (length) in širine (width) cvetnega lista.
+ Logistično regresijo zamenjaj s poljubno drugo klasifikacijsko metodo.
+
+
+
+
+
+
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+
+ {'C_index': 61, 'auto_apply': True, 'class_weight': False, 'controlAreaVisible': True, 'learner_name': 'Logistična regresija', 'penalty_type': 1, 'savedWidgetGeometry': b'\x01\xd9\xd0\xcb\x00\x01\x00\x00\x00\x00\x04b\x00\x00\x02/\x00\x00\x05\x8e\x00\x00\x03L\x00\x00\x04b\x00\x00\x02E\x00\x00\x05\x8e\x00\x00\x03L\x00\x00\x00\x00\x00\x00', '__version__': 2}
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+
+
+
+
+
+
diff --git a/i18n/si/tests-config.yaml b/i18n/si/tests-config.yaml
new file mode 100644
index 00000000000..40996649a57
--- /dev/null
+++ b/i18n/si/tests-config.yaml
@@ -0,0 +1 @@
+exclude-pattern: ''
diff --git a/i18n/si/tests-msgs.jaml b/i18n/si/tests-msgs.jaml
new file mode 100644
index 00000000000..0de4c688e3e
--- /dev/null
+++ b/i18n/si/tests-msgs.jaml
@@ -0,0 +1,14731 @@
+canvas/tests/test_mainwindow.py:
+ class `TestMainWindow`:
+ def `test_settings_dialog`:
+ exec: null
+ show: null
+classification/tests/test_base.py:
+ class `TestModelMapping`:
+ def `setUpClass`:
+ iris: null
+ def `test_no_common_values`:
+ iris: null
+ abc: null
+ __main__: null
+classification/tests/test_calibration.py:
+ class `TestThresholdClassifier`:
+ def `setUp`:
+ a: null
+ b: null
+ def `test_non_binary_base`:
+ a: null
+ b: null
+ c: null
+ def `test_np_data`:
+ heart_disease: null
+ class `TestThresholdLearner`:
+ def `test_fit_storage`:
+ Orange.evaluation.performance_curves.Curves.from_results: null
+ Orange.classification.calibration.TestOnTrainingData: null
+ a: null
+ b: null
+ heart_disease: null
+ store_models: null
+ def `test_non_binary_class`:
+ a: null
+ b: null
+ c: null
+ class `TestCalibratedClassifier`:
+ def `setUp`:
+ a: null
+ b: null
+ def `test_np_data`:
+ heart_disease: null
+ class `TestCalibratedLearner`:
+ def `test_fit_storage`:
+ Orange.classification.calibration._SigmoidCalibration.fit: null
+ Orange.classification.calibration.TestOnTrainingData: null
+ heart_disease: null
+ a: null
+ b: null
+ store_models: null
+ __main__: null
+classification/tests/test_catgb_cls.py:
+ class `TestCatGBClassifier`:
+ Missing 'catboost' package: null
+ def `setUpClass`:
+ iris: null
+ def `test_set_params`:
+ n_estimators: null
+ max_depth: null
+ def `test_discrete_variables`:
+ zoo: null
+ titanic: null
+ def `test_missing_values`:
+ heart_disease: null
+ def `test_retain_x`:
+ heart_disease: null
+ def `test_doesnt_modify_data`:
+ iris: null
+ __main__: null
+classification/tests/test_gb_cls.py:
+ class `TestGBClassifier`:
+ def `setUpClass`:
+ iris: null
+ def `test_set_params`:
+ n_estimators: null
+ max_depth: null
+ __main__: null
+classification/tests/test_outlier_detection.py:
+ class `_TestDetector`:
+ def `setUpClass`:
+ iris: null
+ def `assert_table_appended_outlier`:
+ Outlier: null
+ class `TestOneClassSVMLearner`:
+ def `test_OneClassSVM`:
+ c1: null
+ c2: null
+ def `test_OneClassSVM_ignores_y`:
+ x1: null
+ x2: null
+ y1: null
+ y2: null
+ class `TestEllipticEnvelopeLearner`:
+ def `setUpClass`:
+ c1: null
+ c2: null
+ def `test_single_data_to_model_domain`:
+ data_to_model_domain: null
+ def `test_EllipticEnvelope_ignores_y`:
+ x1: null
+ x2: null
+ y1: null
+ y2: null
+ def `test_transform`:
+ Mahalanobis: null
+ class `TestOutlierModel`:
+ def `test_unique_name`:
+ Outlier: null
+ Outlier (1): null
+ def `test_transformer`:
+ Outlier: null
+ def `test_pickle_model`:
+ .pkl: null
+ def `test_pickle_prediction`:
+ .pkl: null
+ __main__: null
+classification/tests/test_simple_tree.py:
+ class `SimpleTreeTest`:
+ def `test_nonan_classification`:
+ x: null
+ y: null
+ ab: null
+ def `test_nonan_regression`:
+ x: null
+ y: null
+ x2: null
+ def `test_stub`:
+ x: null
+ y: null
+ __main__: null
+classification/tests/test_xgb_cls.py:
+ class `TestXGBCls`:
+ Missing 'xgboost' package: null
+ def `setUpClass`:
+ iris: null
+ def `test_set_params`:
+ n_estimators: null
+ max_depth: null
+ __main__: null
+data/tests/test_aggregate.py:
+ def `create_sample_data`:
+ a: null
+ b: null
+ cvar: null
+ dvar: null
+ val1: null
+ val2: null
+ svar: null
+ sval1: null
+ sval2: null
+ class `DomainTest`:
+ def `test_simple_aggregation`:
+ a: null
+ mean: null
+ b: null
+ a - mean: null
+ b - mean: null
+ def `test_aggregation`:
+ a: null
+ b: null
+ cvar: null
+ Mean: null
+ mean: null
+ Median: null
+ median: null
+ Mean1: null
+ dvar: null
+ Count defined: null
+ count: null
+ Count: null
+ size: null
+ svar: null
+ Concatenate: null
+ cvar - Mean: null
+ cvar - Median: null
+ cvar - Mean1: null
+ dvar - Count defined: null
+ dvar - Count: null
+ svar - Concatenate: null
+ sval1sval2: null
+ sval2: null
+ sval1sval2sval1: null
+ sval2sval1: null
+ def `test_preserve_table_class`:
+ a: null
+ mean: null
+ __main__: null
+data/tests/test_domain.py:
+ class `DomainTest`:
+ def `test_bool_raises_warning`:
+ y: null
+ def `test_empty`:
+ y: null
+ def `test_conversion`:
+ a: null
+ abc: null
+ cab: null
+ b: null
+ def: null
+ efg: null
+ c: null
+ __main__: null
+data/tests/test_io.py:
+ class `TestTableFilters`:
+ def `test_guess_data_type_continuous`:
+ 1: null
+ 2: null
+ 3: null
+ def `test_guess_data_type_discrete`:
+ 1: null
+ 2: null
+ a: null
+ def `test_guess_data_type_string`:
+ a: null
+ def `test_guess_data_type_time`:
+ 2019-10-10: null
+ 2019-10-01: null
+ 2019-10-10T12:08:51: null
+ 2019-10-01T12:08:51: null
+ 2019-10-10 12:08:51: null
+ 2019-10-01 12:08:51: null
+ 2019-10-10 12:08: null
+ 2019-10-01 12:08: null
+ def `test_guess_data_type_values_order`:
+ something1: null
+ something12: null
+ something2: null
+ something20: null
+ class `TestWriters`:
+ def `setUp`:
+ a: null
+ xyz: null
+ b: null
+ c: null
+ d: null
+ foo bar baz: null
+ def `test_write_tab`:
+ .tab: null
+ utf-8: null
+ '
+c\td\ta\tb
+continuous\tstring\tx y z\tcontinuous
+class\tmeta\t\t
+3.0\tfoo\ty\t0.5
+1.0\tbar\tz\t
+7.0\tbaz\t\t1.0625': null
+ def `test_roundtrip_xlsx`:
+ .xlsx: null
+ __main__: null
+data/tests/test_io_base.py:
+ class `InitTestData`:
+ def `setUpClass`:
+ 0.1: null
+ 0.5: null
+ 21.0: null
+ 0.2: null
+ 2.5: null
+ 123.0: null
+ 0.0: null
+ a: null
+ b: null
+ c: null
+ d: null
+ red: null
+ 2019-10-10: null
+ 2019-10-12: null
+ green: null
+ 2019-10-11: null
+ m#a: null
+ cC#b: null
+ m#c: null
+ i#e: null
+ f: null
+ aa: null
+ 1.0: null
+ 2.0: null
+ w: null
+ e: null
+ g: null
+ s: null
+ yes no: null
+ meta: null
+ class: null
+ weight: null
+ i: null
+ no: null
+ class `TestTableHeader`:
+ def `test_rename_variables`:
+ a: null
+ b: null
+ a (1): null
+ a (2): null
+ def `test_get_header_data_1`:
+ a: null
+ b: null
+ c: null
+ d: null
+ def `test_get_header_data_1_flags`:
+ a: null
+ b: null
+ c: null
+ d: null
+ e: null
+ f: null
+ m: null
+ i: null
+ def `test_get_header_data_3`:
+ a: null
+ b: null
+ c: null
+ d: null
+ w: null
+ e: null
+ f: null
+ g: null
+ s: null
+ yes no: null
+ meta: null
+ class: null
+ weight: null
+ i: null
+ class `TestTableBuilder`:
+ def `test_string_column`:
+ s: null
+ red: null
+ green: null
+ def `test_continuous_column`:
+ c: null
+ 0.1: null
+ 0.2: null
+ 0.0: null
+ def `test_continuous_column_raises`:
+ a: null
+ 2: null
+ 3: null
+ 4: null
+ c: null
+ def `test_time_column`:
+ t: null
+ 2019-10-10: null
+ 2019-10-12: null
+ 2019-10-11: null
+ def `test_discrete_column`:
+ d: null
+ green: null
+ red: null
+ def `test_column_parts_discrete_values`:
+ green red: null
+ green: null
+ red: null
+ def `test_unknown_type_column`:
+ 0.1: null
+ 0.2: null
+ 0.0: null
+ class `TestDataTableMixin`:
+ def `test_parse_headers_1`:
+ a: null
+ b: null
+ c: null
+ d: null
+ def `test_parse_headers_1_flags`:
+ m#a: null
+ cC#b: null
+ m#c: null
+ d: null
+ i#e: null
+ f: null
+ def `test_parse_headers_3`:
+ a: null
+ b: null
+ c: null
+ d: null
+ w: null
+ e: null
+ f: null
+ g: null
+ s: null
+ yes no: null
+ meta: null
+ class: null
+ weight: null
+ i: null
+ def `test_adjust_data_width_lengthen`:
+ a: null
+ b: null
+ c: null
+ d: null
+ e: null
+ m: null
+ def `test_adjust_data_width_shorten`:
+ a: null
+ b: null
+ c: null
+ m: null
+ def `test_adjust_data_width_empty`:
+ a: null
+ b: null
+ __main__: null
+data/tests/test_io_util.py:
+ class `TestIoUtil`:
+ def `test_guess_continuous_w_nans`:
+ 9: null
+ 98: null
+ ?: null
+ __main__: null
+data/tests/test_pandas.py:
+ class `TestPandasCompat`:
+ Missing package 'pandas': null
+ def `test_table_from_frame`:
+ a: null
+ 2017-12-19: null
+ b: null
+ 1724-12-20: null
+ c: null
+ 1: null
+ 2: null
+ 0: null
+ abaa: null
+ index: null
+ def `test_table_from_frame_keep_ids`:
+ iris: null
+ _oa: null
+ _o: null
+ 1: null
+ _o20: null
+ _o30: null
+ def `test_table_to_frame`:
+ iris: null
+ sepal length: null
+ Iris-setosa: null
+ def `test_table_to_frame_object_dtype`:
+ a: null
+ def `test_table_to_frame_nans`:
+ a: null
+ b: null
+ def `test_table_to_frame_metas`:
+ zoo: null
+ def `test_not_orangedf`:
+ iris: null
+ def `test_table_from_frame_date`:
+ 2017-12-19: null
+ 1724-12-20: null
+ def `test_table_from_frame_time`:
+ 00:00:00.25: null
+ 20:20:20.30: null
+ 1970-01-01 00:00:00.25: null
+ 1970-01-01 20:20:20.30: null
+ def `test_table_from_frame_datetime`:
+ 2017-12-19 00:00:00.50: null
+ 1724-12-20 20:20:20.30: null
+ def `test_table_from_frame_timezones`:
+ 2017-12-19 00:00:00: null
+ 1724-12-20 20:20:20: null
+ 2017-12-19 00:00:00Z: null
+ 1724-12-20 20:20:20Z: null
+ 2017-12-19 00:00:00+1: null
+ 1724-12-20 20:20:20+1: null
+ CET: null
+ def `test_table_from_frame_no_datetime`:
+ object: null
+ def `testa_table_from_frame_string`:
+ a: null
+ b: null
+ c: null
+ d: null
+ e: null
+ f: null
+ s1: null
+ s2: null
+ object: null
+ string: null
+ 5: null
+ def `test_time_variable_compatible`:
+ time: null
+ def `test_table_to_frame_on_all_orange_dataset`:
+ Convert all Orange demo dataset. It takes about 5s which is way to slow: null
+ Orange/datasets/: null
+ def `_filename_to_dataset_name`:
+ .: null
+ def `_get_orange_demo_datasets`:
+ .tab: null
+ Failed to process Table('{}'): null
+ def `test_table_from_frames`:
+ brown-selected: null
+ def `test_table_from_frames_not_orange_dataframe`:
+ x1: null
+ x2: null
+ x3: null
+ y: null
+ m1: null
+ m2: null
+ def `test_table_from_frames_same_index`:
+ a: null
+ b: null
+ x1: null
+ x2: null
+ x3: null
+ y: null
+ m1: null
+ m2: null
+ object: null
+ index: null
+ c: null
+ class `TestTablePandas`:
+ def `setUp`:
+ table: null
+ Base class: null
+ def `test_slice`:
+ c2: null
+ d1: null
+ def `test_concat_table`:
+ c2: null
+ d1: null
+ def `test_merge`:
+ c2: null
+ d15: null
+ def `test_new_column`:
+ new: null
+ class `TestDenseTablePandas`:
+ def `setUp`:
+ c1: null
+ c2: null
+ d1: null
+ a: null
+ b: null
+ y: null
+ c3: null
+ d2: null
+ c: null
+ d: null
+ s1: null
+ s2: null
+ a b c d e f g: null
+ ABCDEF: null
+ haha: null
+ hoho: null
+ def `test_contiguous_metas`:
+ 1.4.0: null
+ pandas-dev/pandas#39263: null
+ def `test_amend_dimension_mismatch`:
+ Leading dimension mismatch (not 7 == 9): null
+ class `TestSparseTablePandas`:
+ c2: null
+ Continuous Feature 2: null
+ d1: null
+ 0: null
+ 1: null
+ Discrete Feature 2: null
+ value1: null
+ value2: null
+ Continuous Class: null
+ Discrete Class: null
+ m: null
+ f: null
+ __main__: null
+data/tests/test_sql_mssql.py:
+ class `TestPymssqlBackend`:
+ def `test_connection_error`:
+ host: null
+ port: null
+ database: null
+ DB: null
+ def `test_parse_ex`:
+ Foo: null
+ __main__: null
+data/tests/test_table.py:
+ class `TestTableInit`:
+ def `test_warnings`:
+ x: null
+ def `test_invalid_call_with_kwargs`:
+ iris: null
+ def `test_from_numpy`:
+ abcde: null
+ foo: null
+ abcd: null
+ e: null
+ no: null
+ yes: null
+ s: null
+ def `test_from_numpy_sparse`:
+ abc: null
+ def `test_concatenate_horizontal`:
+ abcdefg: null
+ def `test_concatenate_names`:
+ abcdefg: null
+ tab2: null
+ tab3: null
+ def `test_with_column`:
+ abcdefg: null
+ t: null
+ abcde: null
+ def `test_copy`:
+ x: null
+ y: null
+ z: null
+ class `TestTableLocking`:
+ def `setUpClass`:
+ CI: null
+ def `setUp`:
+ abcdefg: null
+ def `test_unlock_table_derived`:
+ iris: null
+ class `TestTableFilters`:
+ def `setUp`:
+ c1: null
+ c2: null
+ d1: null
+ a: null
+ b: null
+ y: null
+ c3: null
+ d2: null
+ c: null
+ d: null
+ s1: null
+ s2: null
+ a b c d e f g: null
+ ABCDEF: null
+ def `test_row_filters_is_defined`:
+ ab: null
+ abdg: null
+ abcdef: null
+ cdefg: null
+ c1: null
+ abdefg: null
+ c: null
+ def `test_row_filter_no_discrete`:
+ a: null
+ def `test_row_filter_continuous`:
+ adg: null
+ dg: null
+ a: null
+ def `test_row_filter_string`:
+ c: null
+ e: null
+ cde: null
+ def `test_row_stringlist`:
+ bBdDe: null
+ bd: null
+ bDe: null
+ bde: null
+ def `test_row_stringregex`:
+ [bBdDe]: null
+ bd: null
+ def `test_is_defined`:
+ c3: null
+ abcdeg: null
+ class `TableColumnViewTests`:
+ def `setUp`:
+ y: null
+ d: null
+ a: null
+ b: null
+ t: null
+ m: null
+ abc def ghi: null
+ y2: null
+ class `TestTableGetColumn`:
+ def `test_get_column_proper_view`:
+ y: null
+ def `test_get_column_discrete`:
+ d: null
+ a: null
+ b: null
+ c: null
+ def `test_sparse`:
+ y: null
+ def `test_get_column_no_variable`:
+ y3: null
+ def `test_index_by_int`:
+ y: null
+ t: null
+ m: null
+ class `TestTableGetColumnView`:
+ def `test_get_column_view_by_var`:
+ y: null
+ t: null
+ m: null
+ def `test_get_column_view_by_name`:
+ y: null
+ t: null
+ m: null
+ y2: null
+ def `test_get_column_view_by_index`:
+ y2: null
+ def `test_sparse`:
+ ignore: null
+ y: null
+ error: null
+ .*dense copy.*: null
+ def `test_mapped`:
+ ignore: null
+ d: null
+ a: null
+ b: null
+ c: null
+ error: null
+ .*mapped copy.*: null
+ def `test_meta_is_float`:
+ x: null
+ y: null
+ a: null
+ b: null
+ __main__: null
+data/tests/test_util.py:
+ class `TestGetUniqueNames`:
+ def `test_get_unique_names`:
+ foo: null
+ bar: null
+ baz: null
+ baz (3): null
+ qux: null
+ foo (1): null
+ baz (4): null
+ baz (3) (1): null
+ quux: null
+ bar (4): null
+ qux (4): null
+ qux (1): null
+ bar (1): null
+ def `test_get_unique_names_with_domain`:
+ foo: null
+ bar: null
+ baz: null
+ baz (3): null
+ qux: null
+ foo (1): null
+ baz (4): null
+ baz (3) (1): null
+ quux: null
+ bar (4): null
+ qux (4): null
+ qux (1): null
+ bar (1): null
+ def `test_get_unique_names_not_equal`:
+ foo: null
+ bar: null
+ baz: null
+ baz (3): null
+ qux: null
+ foo (1): null
+ baz (4): null
+ baz (3) (1): null
+ quux: null
+ bar (1): null
+ def `test_get_unique_names_duplicated_proposals`:
+ foo: null
+ bar: null
+ baz: null
+ baz (3): null
+ boo: null
+ foo (1): null
+ boo (1): null
+ boo (2): null
+ foo (4): null
+ boo (4): null
+ boo (5): null
+ baz (4): null
+ bong: null
+ def `test_get_unique_names_from_duplicates`:
+ foo: null
+ bar: null
+ baz: null
+ bar (1): null
+ bar (2): null
+ x: null
+ x (1): null
+ x (2): null
+ x (3): null
+ x (2) (1): null
+ x (4): null
+ x (5): null
+ x (2) (2): null
+ iris: null
+ iris (1): null
+ iris (2): null
+ iris (3): null
+ iris (4): null
+ iris (1) (1): null
+ iris (1) (2): null
+ iris (1) (3): null
+ def `test_get_unique_names_domain`:
+ a: null
+ t: null
+ c: null
+ d: null
+ e: null
+ t (1): null
+ t (2): null
+ t (3): null
+ d (1): null
+ d (2): null
+ class `TestSanitizedName`:
+ def `test_sanitized_name`:
+ Foo: null
+ Foo Bar: null
+ Foo_Bar: null
+ 0Foo: null
+ _0Foo: null
+ 1 Foo Bar: null
+ _1_Foo_Bar: null
+ __main__: null
+data/tests/test_variable.py:
+ class `VariableTest`:
+ def `test_copy_copies_attributes`:
+ x: null
+ a: null
+ b: null
+ c: null
+ def `test_rename`:
+ x: null
+ x2: null
+ _name: null
+ def `varcls_modified`:
+ a: null
+ class `TestVariable`:
+ def `setUpClass`:
+ x: null
+ def `test_name`:
+ Variable(name='x'): null
+ def `test_to_val`:
+ x: null
+ foo: null
+ 42: null
+ ?: null
+ def `test_properties`:
+ y: null
+ d: null
+ s: null
+ def `test_properties_as_predicates`:
+ y: null
+ s: null
+ def `test_strange_eq`:
+ a: null
+ somestring: null
+ def `test_eq_with_compute_value`:
+ a: null
+ c: null
+ def `test_hash`:
+ a: null
+ b: null
+ def `test_hash_eq`:
+ a: null
+ b: null
+ b2: null
+ c: null
+ def `test_compute_value_eq_warning`:
+ x: null
+ def `variabletest`:
+ def `decorate`:
+ varcls: null
+ class `TestDiscreteVariable`:
+ def `test_to_val`:
+ F: null
+ M: null
+ Feature 0: null
+ ?: null
+ G: null
+ def `test_make`:
+ a: null
+ F: null
+ M: null
+ def `test_val_from_str`:
+ a: null
+ F: null
+ M: null
+ def `test_val_from_str_add`:
+ a: null
+ F: null
+ M: null
+ N: null
+ def `test_repr`:
+ a: null
+ F: null
+ M: null
+ DiscreteVariable(name='a', values=('F', 'M')): null
+ 1234567: null
+ DiscreteVariable(name='a', values=('1', '2', '3', '4', '5', '6', '7')): null
+ def `test_no_nonstringvalues`:
+ foo: null
+ a: null
+ b: null
+ c: null
+ def `test_no_duplicated_values`:
+ foo: null
+ a: null
+ b: null
+ c: null
+ def `test_unpickle`:
+ A: null
+ two: null
+ one: null
+ three: null
+ def `test_mapper_dense`:
+ a: null
+ abc: null
+ dca: null
+ b: null
+ c: null
+ def `test_mapper_sparse`:
+ a: null
+ abc: null
+ dca: null
+ acd: null
+ def `test_mapper_inplace`:
+ a: null
+ abc: null
+ dca: null
+ acd: null
+ def `test_mapper_dim_check`:
+ a: null
+ abc: null
+ dca: null
+ def `test_mapper_from_no_values`:
+ a: null
+ dca: null
+ def `varcls_modified`:
+ A: null
+ B: null
+ def `test_copy_checks_len_values`:
+ gender: null
+ F: null
+ M: null
+ N: null
+ W: null
+ def `test_pickle_backward_compatibility`:
+ default: null
+ ..: null
+ tests: null
+ datasets: null
+ sailing-orange-3-20.pkl: null
+ iris-orange-3-25.pkl: null
+ class `TestContinuousVariable`:
+ def `test_make`:
+ age: null
+ def `test_decimals`:
+ a: null
+ 4.6543: null
+ 4.2500: null
+ ?: null
+ 0.00000: null
+ 1e-12: null
+ def `test_more_decimals`:
+ a: null
+ 4: null
+ 4.12: null
+ 4.00: null
+ 4.25: null
+ 4.1234: null
+ def `test_adjust_decimals`:
+ a: null
+ 5: null
+ 4.65432: null
+ ' 5.12 ': null
+ 4.65: null
+ 5.00: null
+ class `TestStringVariable`:
+ def `test_val`:
+ a: null
+ ?: null
+ foo: null
+ '"foo"': null
+ class `TestTimeVariable`:
+ 2015-10-12 14:13:11.01+0200: null
+ 2015-10-12 14:13:11.010000+0200: null
+ 2015-10-12T14:13:11.81+0200: null
+ 2015-10-12 14:13:11.810000+0200: null
+ 2015-10-12 14:13:11.81: null
+ 2015-10-12 14:13:11.810000: null
+ 2015-10-12T14:13:11.81: null
+ 2015-10-12 14:13:11+0200: null
+ 2015-10-12T14:13:11+0200: null
+ 20151012T141311+0200: null
+ 20151012141311+0200: null
+ 2015-10-12 14:13:11: null
+ 2015-10-12T14:13:11: null
+ 2015-10-12 14:13: null
+ 2015-10-12 14:13:00: null
+ 20151012T141311: null
+ 20151012141311: null
+ 2015-10-12: null
+ 20151012: null
+ 2015-285: null
+ 2015-10: null
+ 2015-10-01: null
+ 2015: null
+ 2015-01-01: null
+ 01:01:01.01: null
+ 01:01:01.010000: null
+ 010101.01: null
+ 01:01:01: null
+ 01:01: null
+ 01:01:00: null
+ 1970-01-01 00:00:00: null
+ 1969-12-31 23:59:59: null
+ 1969-12-31 23:59:58.9: null
+ 1969-12-31 23:59:58.900000: null
+ 1900-01-01: null
+ nan: null
+ ?: null
+ 1444651991.81: null
+ 2015-10-12 12:13:11.810000: null
+ def `test_parse_repr`:
+ time: null
+ def `test_parse_utc`:
+ time: null
+ 2015-10-18 22:48:20: null
+ +0200: null
+ 2015-10-18 20:48:20: null
+ 2015-10-18T22:48:20: null
+ +02:00: null
+ def `test_parse_timestamp`:
+ time: null
+ 2016-06-14 23:08:00: null
+ def `test_parse_invalid`:
+ var: null
+ 123: null
+ def `test_have_date`:
+ time: null
+ 1937-08-02: null
+ 16:20: null
+ 1970-01-01 16:20:00: null
+ def `test_no_date_no_time`:
+ relative time: null
+ 1.6: null
+ def `test_readwrite_timevariable`:
+ '\
+Date,Feature
+time,continuous
+,
+1920-12-12,1.0
+1920-12-13,3.0
+1920-12-14,5.5
+': null
+ Date: null
+ 1920-12-12: null
+ def `test_repr_value`:
+ time: null
+ 416.3: null
+ def `test_have_date_have_time_in_construct`:
+ time: null
+ def `test_additional_formats`:
+ 2021-11-25: null
+ 2022-02-07: null
+ 25.11.2021: null
+ 07.02.2022: null
+ 07. 02. 2022: null
+ 7.2.2022: null
+ 7. 2. 2022: null
+ 25.11.21: null
+ 07.02.22: null
+ 07. 02. 22: null
+ 7.2.22: null
+ 7. 2. 22: null
+ 11/25/2021: null
+ 02/07/2022: null
+ 2/7/2022: null
+ 11/25/21: null
+ 02/07/22: null
+ 2/7/22: null
+ 20211125: null
+ 20220207: null
+ 2021-11-25 00:00:00: null
+ 2022-02-07 10:11:12: null
+ 2022-02-07 10:11:12.00: null
+ 25.11.2021 00:00:00: null
+ 07.02.2022 10:11:12: null
+ 07. 02. 2022 10:11:12: null
+ 7.2.2022 10:11:12: null
+ 7. 2. 2022 10:11:12: null
+ 07.02.2022 10:11:12.00: null
+ 07. 02. 2022 10:11:12.00: null
+ 7.2.2022 10:11:12.00: null
+ 7. 2. 2022 10:11:12.00: null
+ 25.11.21 00:00:00: null
+ 07.02.22 10:11:12: null
+ 07. 02. 22 10:11:12: null
+ 7.2.22 10:11:12: null
+ 7. 2. 22 10:11:12: null
+ 07.02.22 10:11:12.00: null
+ 07. 02. 22 10:11:12.00: null
+ 7.2.22 10:11:12.00: null
+ 7. 2. 22 10:11:12.00: null
+ 11/25/2021 00:00:00: null
+ 02/07/2022 10:11:12: null
+ 2/7/2022 10:11:12: null
+ 02/07/2022 10:11:12.00: null
+ 2/7/2022 10:11:12.00: null
+ 11/25/21 00:00:00: null
+ 02/07/22 10:11:12: null
+ 2/7/22 10:11:12: null
+ 02/07/22 10:11:12.00: null
+ 2/7/22 10:11:12.00: null
+ 20211125000000: null
+ 20220207101112: null
+ 20220207101112.00: null
+ 2022-02-07 10:11: null
+ 07.02.2022 10:11: null
+ 07. 02. 2022 10:11: null
+ 7.2.2022 10:11: null
+ 7. 2. 2022 10:11: null
+ 07.02.22 10:11: null
+ 07. 02. 22 10:11: null
+ 7.2.22 10:11: null
+ 7. 2. 22 10:11: null
+ 02/07/2022 10:11: null
+ 2/7/2022 10:11: null
+ 02/07/22 10:11: null
+ 2/7/22 10:11: null
+ 202202071011: null
+ 00:00:00: null
+ 10:11:12: null
+ 10:11:12.00: null
+ 000000: null
+ 101112: null
+ 101112.00: null
+ 10:11: null
+ 2021: null
+ 11-25: null
+ 02-07: null
+ 25.11.: null
+ 07.02.: null
+ 07. 02.: null
+ 7.2.: null
+ 7. 2.: null
+ 11/25: null
+ 02/07: null
+ 2/7: null
+ coerce: null
+ PickleContinuousVariable: null
+ with_name: null
+ Feature 0: null
+ PickleDiscreteVariable: null
+ with_str_value: null
+ F: null
+ M: null
+ PickleStringVariable: null
+ class `VariableTestMakeProxy`:
+ def `test_make_proxy_disc`:
+ abc: null
+ def `test_make_proxy_cont`:
+ abc: null
+ def `test_proxy_has_separate_attributes`:
+ image: null
+ origin: null
+ a: null
+ b: null
+ c: null
+ __main__: null
+distance/tests/test_distance.py:
+ class `CommonTests`:
+ def `test_sparse`:
+ abc: null
+ class `CommonFittedTests`:
+ def `test_mismatching_attributes`:
+ a: null
+ b: null
+ c: null
+ d: null
+ class `CommonNormalizedTests`:
+ def `test_zero_variance`:
+ d: null
+ class `FittedDistanceTest`:
+ def `setUpClass`:
+ c1: null
+ c2: null
+ c3: null
+ d1: null
+ a: null
+ b: null
+ d2: null
+ c: null
+ d: null
+ d3: null
+ class `JaccardDistanceTest`:
+ def `setUp`:
+ abc: null
+ def `test_zero_instances`:
+ abc: null
+ class `TestDataUtilities`:
+ def `test_remove_discrete`:
+ 123: null
+ abc: null
+ xy: null
+ t: null
+ def `test_remove_non_binary`:
+ 12: null
+ abc: null
+ 123: null
+ def: null
+ xy: null
+ t: null
+ __main__: null
+evaluation/tests/test_performance_curves.py:
+ class `TestCurves`:
+ def `test_curves_from_results`:
+ Orange.evaluation.performance_curves.Curves.__init__: null
+ def `test_curves_from_results_nans`:
+ Orange.evaluation.performance_curves.Curves.__init__: null
+misc/tests/test_collections.py:
+ class `TestFrozenDict`:
+ def `test_removed_methods`:
+ a: null
+ b: null
+ def `test_functions_as_dict`:
+ a: null
+ b: null
+ c: null
+ class `TestUtils`:
+ def `test_natural_sorted`:
+ something1: null
+ something20: null
+ something2: null
+ something12: null
+ def `test_natural_sorted_text`:
+ b: null
+ aa: null
+ c: null
+ dd: null
+ def `test_natural_sorted_numbers_str`:
+ 1: null
+ 20: null
+ 2: null
+ 12: null
+ class `TestDictMissingConst`:
+ def `test_dict_missing`:
+ <->: null
+ A: null
+ B: null
+ __main__: null
+misc/tests/test_distmatrix.py:
+ class `DistMatrixTest`:
+ def `test_reader_selection`:
+ Orange.misc._distmatrix_xlsx.read_matrix: null
+ _from_dst: null
+ test.dst: null
+ test.xlsx: null
+ def `test_auto_symmetricized_result`:
+ ABC: null
+ ABCD: null
+ def `test_auto_symmetricized_dont_apply`:
+ abc: null
+ def: null
+ def `test_trivial_labels`:
+ abc: null
+ a: null
+ c: null
+ xy: null
+ st: null
+ b: null
+ x: null
+ 2: null
+ 5: null
+ g: null
+ __main__: null
+misc/tests/test_distmatrix_xlsx.py:
+ xlsx_files: null
+ class `ReadMatrixTest`:
+ def `setUpClass`:
+ distances.xlsx: null
+ def `test_layouts`:
+ Barcelona Belgrade Berlin Brussels: null
+ lower_row_labels: null
+ upper_col_labels: null
+ lower_col_labels: null
+ upper_row_labels: null
+ upper_both_labels: null
+ AERU: null
+ lower_both_labels: null
+ upper_no_labels: null
+ lower_no_labels: null
+ upper_with_diag: null
+ lower_with_diag: null
+ with_nans: null
+ non_square_both: null
+ abcdef: null
+ non_square_row_labels: null
+ non_square_col_labels: null
+ non_square_no_labels: null
+ non_square_off: null
+ abcd??: null
+ ???ABCDE: null
+ just_numbers: null
+ def `test_fast_floats`:
+ numpy.cumsum: null
+ non_square_off: null
+ numbers_upper_left: null
+ def `test_errors`:
+ sheet: Zavihek
+ koala: null
+ E15: null
+ non_square_off_err: null
+ empty: prazen
+ no data: null
+ def `test_active_worksheet`:
+ E15: null
+ sheet: zavihek
+ empty: prazen
+ class `FunctionsTest`:
+ def `setUpClass`:
+ distances.xlsx: null
+ def `test_get_sheet`:
+ lower_row_labels: null
+ def `test_non_empty_cells`:
+ upper_row_labels: null
+ non_square_both: null
+ non_square_off: null
+ a: null
+ E: null
+ no data: null
+ .*empty.*: .*prazen.*
+ numpy.cumsum: null
+ numbers_upper_left: null
+ def `test_get_labels`:
+ a: null
+ b: null
+ c: null
+ bb: null
+ 1: null
+ 2: null
+ ?: null
+ 1.5: null
+ def `test_matrix_from_cells`:
+ 3.15: null
+ .*D3.*: null
+ foo: null
+ def `test_write`:
+ .xlsx: null
+ aa: null
+ bb: null
+ cc: null
+ dd: null
+ ee: null
+ __main__: null
+misc/tests/test_embedder_utils.py:
+ class `TestProxies`:
+ def `setUp`:
+ http_proxy: null
+ https_proxy: null
+ def `tearDown`:
+ http_proxy: null
+ https_proxy: null
+ def `test_add_scheme`:
+ http_proxy: null
+ test1.com: null
+ https_proxy: null
+ test2.com: null
+ http://test1.com: null
+ http://: null
+ http://test2.com: null
+ https://: null
+ test1.com/path: null
+ test2.com/path: null
+ http://test1.com/path: null
+ http://test2.com/path: null
+ https://test1.com:123: null
+ https://test2.com:124: null
+ def `test_both_urls`:
+ http_proxy: null
+ http://test1.com:123: null
+ https_proxy: null
+ https://test2.com:124: null
+ http://: null
+ https://: null
+ all://: null
+ def `test_http_only`:
+ http_proxy: null
+ http://test1.com:123: null
+ http://: null
+ https://: null
+ def `test_https_only`:
+ https_proxy: null
+ https://test1.com:123: null
+ https://: null
+ http://: null
+ __main__: null
+misc/tests/test_server_embedder.py:
+ httpx.AsyncClient.post: null
+ '{"embedding": [0, 1]}': null
+ class `TestServerEmbedder`:
+ def `setUp`:
+ test: null
+ https://test.com: null
+ image: null
+ test_var: null
+ test1: null
+ test2: null
+ test3: null
+ def `test_on_non_json_response`:
+ blabla: null
+ def `test_on_json_wrong_key_response`:
+ '{"wrong-key": [0, 1]}': null
+ def `test_persistent_caching`:
+ test: null
+ https://test.com: null
+ image: null
+ def `test_different_models_caches`:
+ different_emb: null
+ https://test.com: null
+ image: null
+ test: null
+ def `test_too_many_examples_for_one_batch`:
+ test_var: null
+ test{i}: null
+ def `test_connection_error`:
+ test_var: null
+ test{i}: null
+ def `test_read_error`:
+ test_var: null
+ test{i}: null
+ def `test_encode_data_instance`:
+ abc: null
+ __main__: null
+modelling/tests/test_catgb.py:
+ class `TestCatGBLearner`:
+ Missing 'catboost' package: null
+ def `setUpClass`:
+ iris: null
+ housing: null
+ def `test_params`:
+ n_estimators: null
+ max_depth: null
+ __main__: null
+modelling/tests/test_gb.py:
+ class `TestGBLearner`:
+ def `setUpClass`:
+ iris: null
+ housing: null
+ def `test_params`:
+ n_estimators: null
+ max_depth: null
+ __main__: null
+modelling/tests/test_xgb.py:
+ class `TestXGB`:
+ Missing 'xgboost' package: null
+ def `setUpClass`:
+ iris: null
+ housing: null
+ def `test_params`:
+ n_estimators: null
+ max_depth: null
+ __main__: null
+preprocess/tests/test_discretize.py:
+ class `TestFixedWidth`:
+ def `test_discretization`:
+ c{i}: null
+ < 0.10: null
+ 0.10 - 0.20: null
+ 0.20 - 0.30: null
+ ≥ 0.30: null
+ < 0.2: null
+ ≥ 0.2: null
+ class `TestFixedTimeWidth`:
+ def `test_discretization`:
+ t: null
+ 1914: null
+ 1945: null
+ t2: null
+ t3: null
+ < 1920: null
+ 1920 - 1930: null
+ 1930 - 1940: null
+ ≥ 1940: null
+ < 1915: null
+ 1915 - 1920: null
+ 1920 - 1925: null
+ 1925 - 1930: null
+ 1930 - 1935: null
+ 1935 - 1940: null
+ 1940 - 1945: null
+ ≥ 1945: null
+ 1914-07-28: null
+ 1918-11-11: null
+ 1915-01-01: null
+ 1915-07-01: null
+ 1916-01-01: null
+ 1916-07-01: null
+ 1917-01-01: null
+ 1917-07-01: null
+ 1918-01-01: null
+ 1918-07-01: null
+ < 15 Jan: null
+ 15 Jan - Jul: null
+ 15 Jul - 16 Jan: null
+ 16 Jan - Jul: null
+ 16 Jul - 17 Jan: null
+ 17 Jan - Jul: null
+ 17 Jul - 18 Jan: null
+ 18 Jan - Jul: null
+ ≥ 18 Jul: null
+ 1914-11-11: null
+ 1914-09-01: null
+ 1914-11-01: null
+ < Sep: null
+ Sep - Nov: null
+ ≥ Nov: null
+ 1914-08-01: null
+ 1914-10-01: null
+ < Aug: null
+ Aug - Sep: null
+ Sep - Oct: null
+ Oct - Nov: null
+ 1914-06-28 10:45: null
+ 1914-07-04 15:25: null
+ 1914-06-29: null
+ 1914-07-01: null
+ 1914-07-03: null
+ < Jun 29: null
+ Jun 29 - Jul 01: null
+ Jul 01 - Jul 03: null
+ ≥ Jul 03: null
+ 1914-06-30: null
+ 1914-07-02: null
+ 1914-07-04: null
+ Jun 29 - Jun 30: null
+ Jun 30 - Jul 01: null
+ Jul 01 - Jul 02: null
+ Jul 02 - Jul 03: null
+ Jul 03 - Jul 04: null
+ ≥ Jul 04: null
+ 1914-12-30 22:45: null
+ 1915-01-02 15:25: null
+ 1914-12-31: null
+ 1915-01-02: null
+ < 14 Dec 31: null
+ 14 Dec 31 - 15 Jan 01: null
+ 15 Jan 01 - Jan 02: null
+ ≥ 15 Jan 02: null
+ 1914-06-28 15:25: null
+ 1914-06-28 12:00: null
+ 1914-06-28 14:00: null
+ < 12:00: null
+ 12:00 - 14:00: null
+ ≥ 14:00: null
+ 1914-06-28 11:00: null
+ 1914-06-28 13:00: null
+ 1914-06-28 15:00: null
+ < 11:00: null
+ 11:00 - 12:00: null
+ 12:00 - 13:00: null
+ 13:00 - 14:00: null
+ 14:00 - 15:00: null
+ ≥ 15:00: null
+ 1914-06-28 22:45: null
+ 1914-06-29 03:25: null
+ 1914-06-28 23:00: null
+ 1914-06-29 00:00: null
+ 1914-06-29 01:00: null
+ 1914-06-29 02:00: null
+ 1914-06-29 03:00: null
+ < Jun 28 23:00: null
+ Jun 28 23:00 - Jun 29 00:00: null
+ Jun 29 00:00 - 01:00: null
+ Jun 29 01:00 - 02:00: null
+ Jun 29 02:00 - 03:00: null
+ ≥ Jun 29 03:00: null
+ 1914-06-28 22:43: null
+ 1914-06-28 23:01: null
+ 1914-06-28 22:50: null
+ 1914-06-28 22:55: null
+ < 22:45: null
+ 22:45 - 22:50: null
+ 22:50 - 22:55: null
+ 22:55 - 23:00: null
+ ≥ 23:00: null
+ 1914-06-30 23:48: null
+ 1914-07-01 00:06: null
+ 1914-06-30 23:50: null
+ 1914-06-30 23:55: null
+ 1914-07-01 00:00: null
+ 1914-07-01 00:05: null
+ < Jun 30 23:50: null
+ Jun 30 23:50 - 23:55: null
+ Jun 30 23:55 - Jul 01 00:00: null
+ Jul 01 00:00 - 00:05: null
+ ≥ Jul 01 00:05: null
+ 1914-06-29 23:48: null
+ 1914-06-30 00:06: null
+ 1914-06-29 23:50: null
+ 1914-06-29 23:55: null
+ 1914-06-30 00:00: null
+ 1914-06-30 00:05: null
+ < Jun 29 23:50: null
+ Jun 29 23:50 - 23:55: null
+ Jun 29 23:55 - Jun 30 00:00: null
+ Jun 30 00:00 - 00:05: null
+ ≥ Jun 30 00:05: null
+ 1914-06-29 23:48:05: null
+ 1914-06-29 23:51:59: null
+ 1914-06-29 23:49: null
+ 1914-06-29 23:51: null
+ < 23:49: null
+ 23:49 - 23:50: null
+ 23:50 - 23:51: null
+ ≥ 23:51: null
+ 1914-06-29 23:48:05.123: null
+ 1914-06-29 23:48:33.684: null
+ 1914-06-29 23:48:10: null
+ 1914-06-29 23:48:20: null
+ 1914-06-29 23:48:30: null
+ < 23:48:10: null
+ 23:48:10 - 23:48:20: null
+ 23:48:20 - 23:48:30: null
+ ≥ 23:48:30: null
+ 1914-12-31 23:59:58.1: null
+ 1915-01-01 00:00:01.8: null
+ 1914-12-31 23:59:59: null
+ 1915-01-01 00:00:00: null
+ 1915-01-01 00:00:01: null
+ < 23:59:59: null
+ 23:59:59 - 00:00:00: null
+ 00:00:00 - 00:00:01: null
+ ≥ 00:00:01: null
+ class `TestBinningDiscretizer`:
+ def `test_no_data`:
+ y: null
+ def `test_call`:
+ Orange.preprocess.discretize.time_binnings: null
+ Orange.preprocess.discretize.decimal_binnings: null
+ Orange.preprocess.discretize.Binning._create_binned_var: null
+ y: null
+ t: null
+ def `test_binning_selection`:
+ y: null
+ t{x}: null
+ < t1: null
+ t1 - t2: null
+ ≥ t2: null
+ t2 - t3: null
+ t3 - t4: null
+ ≥ t4: null
+ class `TestTimeBinning`:
+ def `test_binning`:
+ def `tr1`:
+ Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec: null
+ 10 years: 10 let
+ 1970: null
+ 1980: null
+ 1990: null
+ 5 years: 5 let
+ 1975: null
+ 1985: null
+ 2 years: 2 leti
+ 1974: null
+ 1976: null
+ 1978: null
+ 1982: null
+ 1984: null
+ 1986: null
+ 1988: null
+ 1 year: 1 leto
+ 1977: null
+ 1979: null
+ 1981: null
+ 1983: null
+ 1987: null
+ 1989: null
+ 6 months: 6 mesecev
+ 75 Jan: null
+ Jul: null
+ 76 Jan: null
+ 77 Jan: null
+ 78 Jan: null
+ 79 Jan: null
+ 80 Jan: null
+ 81 Jan: null
+ 82 Jan: null
+ 83 Jan: null
+ 84 Jan: null
+ 85 Jan: null
+ 86 Jan: null
+ 87 Jan: null
+ 88 Jan: null
+ 89 Jan: null
+ 3 months: 3 meseci
+ 75 Apr: null
+ Oct: null
+ Apr: null
+ 2 months: 2 meseca
+ 75 Mar: null
+ May: null
+ Sep: null
+ Nov: null
+ Mar: null
+ 1 month: 1 mesec
+ Jun: null
+ Aug: null
+ Dec: null
+ Feb: null
+ 75 Dec: null
+ 2 weeks: 2 tedna
+ 75 Dec 03: null
+ 17: null
+ 31: null
+ 76 Jan 14: null
+ 1 week: 1 teden
+ 10: null
+ 24: null
+ 76 Jan 07: null
+ 1 day: 1 dan
+ 75 Dec 02: null
+ 03: null
+ 04: null
+ 05: null
+ 06: null
+ 07: null
+ 08: null
+ 09: null
+ 11: null
+ 12: null
+ 13: null
+ 14: null
+ 15: null
+ 16: null
+ 18: null
+ 19: null
+ 20: null
+ 21: null
+ 22: null
+ 23: null
+ 25: null
+ 26: null
+ 27: null
+ 28: null
+ 29: null
+ 30: null
+ 76 Jan 01: null
+ 02: null
+ 75 Dec 25: null
+ 12 hours: 12 ur
+ 75 Dec 25 00:00: null
+ 12:00: null
+ 26 00:00: null
+ 27 00:00: null
+ 28 00:00: null
+ 29 00:00: null
+ 30 00:00: null
+ 31 00:00: null
+ 76 Jan 01 00:00: null
+ 02 00:00: null
+ 03 00:00: null
+ 6 hours: 6 ur
+ 06:00: null
+ 18:00: null
+ 75 Dec 29: null
+ 75 Dec 29 00:00: null
+ 3 hours: 3 ure
+ 03:00: null
+ 09:00: null
+ 15:00: null
+ 21:00: null
+ 75 Dec 31: null
+ 75 Dec 31 00:00: null
+ 2 hours: 2 uri
+ 02:00: null
+ 04:00: null
+ 08:00: null
+ 10:00: null
+ 14:00: null
+ 16:00: null
+ 20:00: null
+ 22:00: null
+ 1 hour: 1 ura
+ 01:00: null
+ 05:00: null
+ 07:00: null
+ 11:00: null
+ 13:00: null
+ 17:00: null
+ 19:00: null
+ 23:00: null
+ 75 Dec 31 06:00: null
+ 30 minutes: 30 minut
+ Dec 31 06:00: null
+ 06:30: null
+ 07:30: null
+ 08:30: null
+ 09:30: null
+ 10:30: null
+ 11:30: null
+ 12:30: null
+ 13:30: null
+ 14:30: null
+ 15:30: null
+ 16:30: null
+ 17:30: null
+ 18:30: null
+ 19:30: null
+ 20:30: null
+ 21:30: null
+ 22:30: null
+ 23:30: null
+ Jan 01 00:00: null
+ 00:30: null
+ 75 Dec 31 21:00: null
+ 75 Dec 31 22:00: null
+ 75 Dec 31 23:00: null
+ Dec 31 23:00: null
+ 01:30: null
+ 02:30: null
+ 15 minutes: 15 minut
+ 23:15: null
+ 23:45: null
+ 00:15: null
+ 00:45: null
+ 01:15: null
+ 01:45: null
+ 02:15: null
+ 10 minutes: 10 minut
+ 23:10: null
+ 23:20: null
+ 23:40: null
+ 23:50: null
+ 00:10: null
+ 00:20: null
+ 00:40: null
+ 00:50: null
+ 01:10: null
+ 01:20: null
+ 01:40: null
+ 01:50: null
+ 02:10: null
+ 5 minutes: 5 minut
+ 23:05: null
+ 23:25: null
+ 23:35: null
+ 23:55: null
+ 00:05: null
+ 00:25: null
+ 00:35: null
+ 00:55: null
+ 01:05: null
+ 01:25: null
+ 01:35: null
+ 01:55: null
+ 02:05: null
+ Jun 09 00:00: null
+ 10 00:00: null
+ Jun 09 06:00: null
+ Jun 09 09:00: null
+ Jun 09 10:00: null
+ 10:15: null
+ 10:45: null
+ 11:15: null
+ 11:45: null
+ 12:15: null
+ 12:45: null
+ 13:15: null
+ 10:10: null
+ 10:20: null
+ 10:40: null
+ 10:50: null
+ 11:10: null
+ 11:20: null
+ 11:40: null
+ 11:50: null
+ 12:10: null
+ 12:20: null
+ 12:40: null
+ 12:50: null
+ 13:10: null
+ 13:20: null
+ 10:05: null
+ 10:25: null
+ 10:35: null
+ 10:55: null
+ 11:05: null
+ 11:25: null
+ 11:35: null
+ 11:55: null
+ 12:05: null
+ 12:25: null
+ 12:35: null
+ 12:55: null
+ 13:05: null
+ 1 minute: 1 minuta
+ 10:01: null
+ 10:02: null
+ 10:03: null
+ 10:04: null
+ 10:06: null
+ 10:07: null
+ 10:08: null
+ 10:09: null
+ 10:11: null
+ 10:12: null
+ 10:13: null
+ 10:14: null
+ 10:16: null
+ 10:17: null
+ 10:18: null
+ 10:19: null
+ 10:21: null
+ 10:22: null
+ 10:23: null
+ 10:24: null
+ 10:26: null
+ 10:27: null
+ 10:28: null
+ 10:29: null
+ 10:31: null
+ 10:32: null
+ 10:33: null
+ 10:34: null
+ 10:36: null
+ 10:37: null
+ 10:38: null
+ 10:39: null
+ 10:41: null
+ 10:42: null
+ 10:43: null
+ 10:44: null
+ 10:46: null
+ 10:47: null
+ 10:48: null
+ 10:49: null
+ 30 seconds: 30 sekund
+ 10:00:00: null
+ 10:00:30: null
+ 10:01:00: null
+ 10:01:30: null
+ 10:02:00: null
+ 10:02:30: null
+ 10:03:00: null
+ 10:03:30: null
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+ 10:12:00: null
+ 10:12:30: null
+ 10:13:00: null
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+ 10:15:00: null
+ 10:15:30: null
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+ 10:16:30: null
+ 10:17:00: null
+ 10:17:30: null
+ 10:18:00: null
+ 10:18:30: null
+ 10:19:00: null
+ 10:19:30: null
+ 10:20:00: null
+ 10:20:30: null
+ 15 seconds: 15 sekund
+ 10:12:45: null
+ 10:13:15: null
+ 10:13:45: null
+ 10:14:15: null
+ 10:14:45: null
+ 10:15:15: null
+ 10:15:45: null
+ 10:16:15: null
+ 10:16:45: null
+ 10:17:15: null
+ 10:17:45: null
+ 10:18:15: null
+ 10 seconds: 10 sekund
+ 10:12:40: null
+ 10:12:50: null
+ 10:13:10: null
+ 10:13:20: null
+ 10:13:40: null
+ 10:13:50: null
+ 10:14:10: null
+ 10:14:20: null
+ 10:14:40: null
+ 10:14:50: null
+ 10:15:10: null
+ 10:15:20: null
+ 10:15:40: null
+ 10:15:50: null
+ 10:16:10: null
+ 10:16:20: null
+ 10:16:40: null
+ 10:16:50: null
+ 10:17:10: null
+ 10:17:20: null
+ 10:17:40: null
+ 10:17:50: null
+ 10:18:10: null
+ 10:18:20: null
+ 5 seconds: 5 sekund
+ 10:12:35: null
+ 10:12:55: null
+ 10:13:05: null
+ 1 second: 1 sekunda
+ 10:12:33: null
+ 10:12:34: null
+ 10:12:36: null
+ 10:12:37: null
+ 10:12:38: null
+ 10:12:39: null
+ 10:12:41: null
+ 10:12:42: null
+ 10:12:43: null
+ 10:12:44: null
+ 10:12:46: null
+ 10:12:47: null
+ 10:12:48: null
+ 10:12:49: null
+ 10:12:51: null
+ 10:12:52: null
+ 10:12:53: null
+ 10:12:54: null
+ 10:12:56: null
+ 10:12:57: null
+ 10:12:58: null
+ 10:12:59: null
+ 10:13:01: null
+ 10:13:02: null
+ 10:13:03: null
+ 10:13:04: null
+ 10:13:06: null
+ 10:13:07: null
+ 10:13:08: null
+ 10:13:09: null
+ 10:13:11: null
+ 10:13:12: null
+ 10:13:13: null
+ 50 years: 50 let
+ 1950: null
+ 2000: null
+ 2050: null
+ 25 years: 25 let
+ 2025: null
+ 2010: null
+ 2020: null
+ 1995: null
+ 2005: null
+ 2015: null
+ 1972: null
+ 1992: null
+ 1994: null
+ 1996: null
+ 1998: null
+ 2002: null
+ 2004: null
+ 2006: null
+ 2008: null
+ 2012: null
+ 1973: null
+ 1991: null
+ 1993: null
+ 1997: null
+ 1999: null
+ 2001: null
+ 2003: null
+ 2007: null
+ 2009: null
+ 2011: null
+ class `TestBinDefinition`:
+ def `test_labels`:
+ 1: null
+ 2: null
+ 3.14: null
+ %.3f: null
+ 1.000: null
+ 2.000: null
+ 3.140: null
+ b{x:g}: null
+ b1: null
+ b2: null
+ b3.14: null
+ abc: null
+ def `test_width_label`:
+ 3: null
+ 3.14: null
+ class `TestDiscretizer`:
+ def `test_equality`:
+ x: null
+ y: null
+ __main__: null
+preprocess/tests/test_fss.py:
+ class `SelectBestFeaturesTest`:
+ def `test_no_nice_features`:
+ x: null
+ -inf: null
+ inf: null
+ __main__: null
+preprocess/tests/test_impute.py:
+ class `TestReplaceUnknowns`:
+ def `test_equality`:
+ x: null
+ y: null
+ class `TestReplaceUnknownsRandom`:
+ def `test_equality`:
+ x: null
+ abc: null
+ y: null
+ class `TestFixedValuesByType`:
+ def `setUp`:
+ d: null
+ abc: null
+ c: null
+ t: null
+ s: null
+ foo: null
+ def `test_all_defined`:
+ foo: null
+ def `test_with_default`:
+ foo: null
+ bar: null
+ class `TestReplaceUnknownsModel`:
+ def `test_eq`:
+ iris: null
+ __main__: null
+preprocess/tests/test_transformation.py:
+ class `TestTransformEquality`:
+ def `setUp`:
+ d1: null
+ abc: null
+ d2: null
+ def `test_mapping`:
+ a: null
+ 1: null
+ b: null
+ 2: null
+ c: null
+ 3: null
+ nan: null
+ f: null
+ k: null
+ j: null
+ class `TestIndicator`:
+ def `test_nan`:
+ d: null
+ abcde: null
+ __main__: null
+regression/tests/test_catgb_reg.py:
+ class `TestCatGBRegressor`:
+ Missing 'catboost' package: null
+ def `setUpClass`:
+ housing: null
+ def `test_set_params`:
+ n_estimators: null
+ max_depth: null
+ __main__: null
+regression/tests/test_curvefit.py:
+ class `TestCreateLambda`:
+ def `test_create_lambda_simple`:
+ a + b: null
+ a: null
+ b: null
+ def `test_create_lambda_var`:
+ var + a + b: null
+ var: null
+ a: null
+ b: null
+ def `test_create_lambda_fun`:
+ power(a, 2): null
+ power: null
+ a: null
+ def `test_create_lambda_var_fun`:
+ var1 + power(a, 2) + power(a, 2): null
+ var1: null
+ var2: null
+ power: null
+ a: null
+ def `test_create_lambda_x`:
+ var1 + x: null
+ var1: null
+ var2: null
+ x: null
+ def `test_create_lambda_ast`:
+ a + b: null
+ eval: null
+ a: null
+ b: null
+ def `test_create_lambda`:
+ a * var1 + b * exp(var2 * power(pi, 0)): null
+ var1: null
+ var2: null
+ var3: null
+ exp: null
+ power: null
+ pi: null
+ a: null
+ b: null
+ class `TestCurveFitLearner`:
+ def `setUpClass`:
+ housing: null
+ def `test_init_str`:
+ a + b: null
+ def `test_init_ast`:
+ a + b: null
+ eval: null
+ def `test_fit`:
+ CRIM: null
+ def `test_fit_no_params`:
+ CRIM: null
+ def `test_predict`:
+ CRIM: null
+ def `test_predict_constant`:
+ CRIM: null
+ def `test_coefficients`:
+ a: null
+ b: null
+ c: null
+ LSTAT: null
+ def `test_inadequate_data`:
+ iris: null
+ sepal length: null
+ def `test_missing_values`:
+ CRIM: null
+ def `test_cv`:
+ CRIM: null
+ def `test_cv_preprocess`:
+ a: null
+ CRIM: null
+ def `test_predict_single_instance`:
+ CRIM: null
+ def `test_predict_table`:
+ CRIM: null
+ def `test_predict_numpy`:
+ CRIM: null
+ def `test_predict_sparse`:
+ CRIM: null
+ def `test_can_copy_str`:
+ a * exp(-b * CRIM) + c: null
+ exp: null
+ def `test_can_copy_callable`:
+ CRIM: null
+ def `test_can_copy_with_imputer`:
+ a * exp(-b * CRIM) + c: null
+ exp: null
+ def `test_can_pickle_str`:
+ a * exp(-b * CRIM) + c: null
+ exp: null
+ def `test_can_pickle_callable`:
+ CRIM: null
+ __main__: null
+regression/tests/test_gb_reg.py:
+ class `TestGBRegressor`:
+ def `setUpClass`:
+ housing: null
+ def `test_set_params`:
+ n_estimators: null
+ max_depth: null
+ __main__: null
+regression/tests/test_xgb_reg.py:
+ class `TestXGBReg`:
+ Missing 'xgboost' package: null
+ def `setUpClass`:
+ housing: null
+ def `test_set_params`:
+ n_estimators: null
+ max_depth: null
+ def `test_scorer`:
+ Missing 'xgboost' package: null
+ __main__: null
+tests/test_ada_boost.py:
+ class `TestSklAdaBoostLearner`:
+ def `setUpClass`:
+ iris: null
+ housing: null
+tests/test_base.py:
+ class `TestLearner`:
+ def `test_uses_default_preprocessors_unless_custom_pps_specified`:
+ 'Learner should use default preprocessors, unless preprocessors ': null
+ were specified in init: null
+ def `test_overrides_custom_preprocessors`:
+ 'Learner should override default preprocessors when specified in ': null
+ constructor: null
+ def `test_use_default_preprocessors_property`:
+ 'Learner did not properly insert custom preprocessor into ': null
+ preprocessor list: null
+ Custom preprocessor was inserted in incorrect order: null
+ def `test_preprocessors_can_be_passed_in_as_non_iterable`:
+ 'Preprocessors should be able to be passed in as single object ': null
+ as well as an iterable object: null
+ def `test_preprocessors_can_be_passed_in_as_generator`:
+ 'Preprocessors should be able to be passed in as single object ': null
+ as well as an iterable object: null
+ def `test_callback`:
+ iris: null
+ class `TestSklLearner`:
+ def `test_linreg`:
+ 'Either LinearRegression no longer supports weighted tables or ': null
+ SklLearner.supports_weights is out-of-date.: null
+ def `test_callback`:
+ iris: null
+ __main__: null
+tests/test_basic_stats.py:
+ class `TestDomainBasicStats`:
+ def `setUp`:
+ zoo: null
+tests/test_basket_reader.py:
+ def `with_file`:
+ def `fle_decorator`:
+ def `decorated`:
+ utf-8: null
+ class `TestBasketReader`:
+ def `test_read_variable_is_value_syntax`:
+ a=1,b=2,c=3: null
+ a: null
+ b: null
+ c: null
+ def `test_read_variable_only_syntax`:
+ a,b,c,d,e: null
+ def `test_handles_spaces_between_variables`:
+ a=1, b=2, c=3: null
+ def `test_variables_can_be_listed_in_any_order`:
+ a,b\nc,b,a: null
+ def `test_handles_unicode`:
+ č,š,ž: null
+ def `test_handles_quote`:
+ a=4,"x"=1.0,"y"=2.0,b=5\n"x"=1.0: null
+ def `test_sums_duplicates`:
+ a,a,b\nb=2,b=3,c: null
+ def `test_data_name`:
+ datasets/iris_basket.basket: null
+ iris_basket: null
+ __main__: null
+tests/test_classification.py:
+ def `all_learners`:
+ Orange.classification.: null
+ _: null
+ base: null
+ class `ModelTest`:
+ def `test_predict_single_instance`:
+ titanic: null
+ def `test_prediction_dimensions`:
+ abcde: null
+ y: null
+ a: null
+ b: null
+ in test for type '{type(inp)}': null
+ def `test_learner_adequacy`:
+ housing: null
+ def `test_value_from_probs`:
+ i: null
+ c: null
+ 0123: null
+ def `test_probs_from_value`:
+ v: null
+ c: null
+ 12: null
+ i: null
+ 0123: null
+ def `test_incompatible_domain`:
+ iris: null
+ titanic: null
+ def `test_result_shape`:
+ iris: null
+ def `test_result_shape_numpy`:
+ iris: null
+ a: null
+ b: null
+ def `test_predict_proba`:
+ heart_disease: null
+ class `ExpandProbabilitiesTest`:
+ def `prepareTable`:
+ Feature %i: null
+ Class %i: null
+ 01: null
+ class `SklTest`:
+ def `test_multinomial`:
+ titanic: null
+ def `test_nan_columns`:
+ iris: null
+ class `ClassfierListInputTest`:
+ def `test_discrete`:
+ titanic: null
+ crew: null
+ adult: null
+ male: null
+ def `test_continuous`:
+ iris: null
+ class `UnknownValuesInPrediction`:
+ def `test_unknown`:
+ iris: null
+ def `test_missing_class`:
+ datasets/adult_sample_missing: null
+ nu: null
+ class `LearnerAccessibility`:
+ def `setUp`:
+ ignore: null
+ .*: null
+ def `test_all_learners_accessible_in_Orange_classification_namespace`:
+ %s is not visible in Orange.classification: null
+ ' namespace': null
+ def `test_all_models_work_after_unpickling`:
+ iris: null
+ titanic: null
+ %s does not return same values when unpickled %s: null
+ def `test_all_models_work_after_unpickling_pca`:
+ iris: null
+ titanic: null
+ %s does not return same values when unpickled %s: null
+ def `test_adequacy_all_learners`:
+ housing: null
+ def `test_adequacy_all_learners_multiclass`:
+ datasets/test8.tab: null
+ __main__: null
+tests/test_clustering_dbscan.py:
+ class `TestDBSCAN`:
+ def `setUp`:
+ iris: null
+ def `test_dbscan_parameters`:
+ euclidean: null
+ auto: null
+tests/test_clustering_hierarchical.py:
+ class `TestHierarchical`:
+ def `setUpClass`:
+ Ann: null
+ Bob: null
+ Curt: null
+ Danny: null
+ Eve: null
+ Fred: null
+ Greg: null
+ Hue: null
+ Ivy: null
+ Jon: null
+ lower: null
+ def `test_form`:
+ lower: null
+ upper: null
+ def `test_pre_post_order`:
+ A: null
+ B: null
+ C: null
+ def `test_table_clustering`:
+ single: null
+ class `TestTree`:
+ def `test_tree`:
+ Tree(value=0, branches=()): null
+tests/test_clustering_kmeans.py:
+ class `TestKMeans`:
+ def `setUp`:
+ iris: null
+ def `test_kmeans_parameters`:
+ random: null
+ def `test_model_data_table_domain`:
+ a: null
+ housing: null
+tests/test_clustering_louvain.py:
+ class `TestLouvain`:
+ def `setUp`:
+ iris: null
+ def `test_louvain_parameters`:
+ l2: null
+ def `test_graph`:
+ l2: null
+tests/test_contingency.py:
+ class `TestDiscrete`:
+ def `setUpClass`:
+ zoo: null
+ datasets/test9.tab: null
+ def `test_discrete`:
+ amphibian: null
+ predator: null
+ fish: null
+ def `test_discrete_missing`:
+ zoo: null
+ nan: null
+ amphibian: null
+ predator: null
+ fish: null
+ def `test_array_with_unknowns`:
+ zoo: null
+ nan: null
+ predator: null
+ def `test_discrete_with_fallback`:
+ zoo: null
+ def `test_continuous`:
+ iris: null
+ sepal width: null
+ Iris-setosa: null
+ Iris-virginica: null
+ def `test_continuous_missing`:
+ iris: null
+ nan: null
+ sepal width: null
+ Iris-setosa: null
+ Iris-virginica: null
+ def `test_continuous_array_with_unknowns`:
+ iris: null
+ nan: null
+ sepal width: null
+ def `test_mixedtype_metas`:
+ zoo: null
+ 1: null
+ nan: null
+ def `_construct_sparse`:
+ d%i: null
+ abc: null
+ c%i: null
+ y: null
+ def `test_sparse`:
+ b: null
+ c3: null
+ def `test_get_contingency`:
+ b: null
+ c4: null
+ def `test_get_contingencies`:
+ b: null
+ def `test_compute_contingency_invalid`:
+ X: null
+ C: null
+ C{}: null
+tests/test_continuize.py:
+ class `TestDomainContinuizer`:
+ def `setUp`:
+ datasets/test4: null
+ def `test_default`:
+ c1: null
+ c2: null
+ d2=a: null
+ d2=b: null
+ d3=a: null
+ d3=b: null
+ d3=c: null
+ a: null
+ b: null
+ c: null
+ def `test_continuous_transform_class`:
+ c1: null
+ c2: null
+ d2=a: null
+ d2=b: null
+ d3=a: null
+ d3=b: null
+ d3=c: null
+ def `test_multi_indicators`:
+ c1: null
+ c2: null
+ d2=a: null
+ d2=b: null
+ d3=a: null
+ d3=b: null
+ d3=c: null
+ a: null
+ b: null
+ c: null
+ def `test_multi_lowest_base`:
+ c1: null
+ c2: null
+ d2=b: null
+ d3=b: null
+ d3=c: null
+ a: null
+ b: null
+ c: null
+ def `test_multi_ignore`:
+ c1: null
+ c2: null
+ def `test_multi_ignore_class`:
+ c1: null
+ c2: null
+ d2=b: null
+ def `test_multi_ignore_multi`:
+ c1: null
+ c2: null
+ d2=b: null
+ cl1: null
+ def `test_as_ordinal`:
+ c1: null
+ c2: null
+ d2: null
+ d3: null
+ cl1: null
+ a: null
+ b: null
+ c: null
+ def `test_as_ordinal_class`:
+ c1: null
+ c2: null
+ d2: null
+ d3: null
+ cl1: null
+ def `test_as_normalized_ordinal`:
+ c1: null
+ c2: null
+ d2: null
+ d3: null
+ cl1: null
+ a: null
+ b: null
+ c: null
+tests/test_cur.py:
+ class `TestCUR`:
+ def `setUpClass`:
+ datasets/ionosphere.tab: null
+ def `__reconstruction_test_helper`:
+ fro: null
+tests/test_data_util.py:
+ class `TestSharedComputeValue`:
+ def `test_compat_compute_value`:
+ iris: null
+ def `test_with_row_indices`:
+ iris: null
+ cv: null
+ def `test_single_call`:
+ iris: null
+ def `test_eq_hash`:
+ x: null
+ y: null
+tests/test_datasets.py:
+ class `TestDatasets`:
+ def `test_access`:
+ location: null
+ iris: null
+ def `test_filter`:
+ features: null
+ continuous: null
+ location: null
+ def `test_have_all`:
+ ../datasets: null
+ .tab: null
+ def `test_datasets_info_features`:
+ location: null
+ http: null
+ rows: null
+ missing: null
+ features: null
+ meta: null
+ discrete: null
+ continuous: null
+ target: null
+ type: null
+ values: null
+tests/test_discretize.py:
+ class `TestEntropyMDL`:
+ def `test_entropy_constant`:
+ v1: null
+ c1: null
+ 1: null
+ class `TestDiscretizer`:
+ def `setUp`:
+ x: null
+ def `test_create_discretized_var_formatting`:
+ < 1: null
+ 1 - 2: null
+ 2 - 3: null
+ ≥ 3: null
+ < 10: null
+ ≥ 10: null
+ < 10.123: null
+ ≥ 10.123: null
+ < 5: null
+ 5 - 10.25: null
+ ≥ 10.25: null
+ 5 - 10.1234: null
+ ≥ 10.1234: null
+ def `test_transform`:
+ iris: null
+ def `test_remove_constant`:
+ iris: null
+ def `test_keep_constant`:
+ iris: null
+ def `test_discretize_class`:
+ iris: null
+ def `test_discretize_metas`:
+ iris: null
+ class `TestDiscretizeTable`:
+ def `test_fixed`:
+ Feature 2: null
+ def `test_leave_discrete`:
+ a: null
+ MF: null
+ b: null
+ c: null
+ AB: null
+ d: null
+ class `TestInstanceConversion`:
+ def `test_single_instance`:
+ iris: null
+ Iris-virginica: null
+tests/test_distances.py:
+ class `TestDistMatrix`:
+ def `setUpClass`:
+ iris: null
+ def `test_from_file`:
+ '3 axis=0 asymmetric col_labels row_labels
+ ann bert chad
+ danny 0.12 3.45 6.78
+ eve 9.01 2.34 5.67
+ frank 8.90 1.23 4.56': null
+ ann: null
+ bert: null
+ chad: null
+ danny: null
+ eve: null
+ frank: null
+ '3 axis=1 row_labels
+ danny 0.12 3.45 6.78
+ eve 9.01 2.34 5.67
+ frank 8.90': null
+ '3 axis=1 symmetric
+ 0.12 3.45 6.78
+ 9.01 2.34 5.67
+ 8.90': null
+ '3 row_labels
+ starič 0.12 3.45 6.78
+ aleš 9.01 2.34 5.67
+ anže 8.90': null
+ utf-8: null
+ starič: null
+ aleš: null
+ anže: null
+ empty file: prazna datoteka
+ axis=1\n1\t3\n4: null
+ distance file must begin with dimension: datoteka se mora začeti z dimenzijo matrike
+ 3 col_labels\na\tb\n1\n\2\n3: null
+ mismatching number of column labels, 2 != 3: napačno število oznak stolpcev, 2 != 3
+ 3 col_labels\na\tb\tc\td\n1\n\2\n3: null
+ mismatching number of column labels, 4 != 3: napačno število oznak stolpcev, 4 != 3
+ 2\n 1\t2\t3\n 5: null
+ too many columns in matrix row 1: preveč stolpcev v vrstici 1
+ 2 row_labels\na\t1\t2\t3\nb\t5: null
+ too many columns in matrix row 'a': preveč stolpcev v vrstici 'a'
+ 2 noflag\n 1\t2\t3\n 5: null
+ invalid flag 'noflag': null
+ 2 noflag=5\n 1\t2\t3\n 5: null
+ invalid flag 'noflag=5': null
+ 2\n1\n2\n3: null
+ too many rows: preveč vrstic
+ 2\n1\nasd: null
+ invalid element at row 2, column 1: napačna vrednost v vrstici 2, stolpcu 1
+ 2 row_labels\na\t1\nb\tasd: null
+ invalid element at row 'b', column 1: napačna vrednost v vrstici 'b', stolpcu 1
+ 2 col_labels row_labels\nd\te\na\t1\nb\tasd: null
+ invalid element at row 'b', column 'd': napačna vrednost v vrstici 'b', stolpcu 'd'
+ 2 col_labels\nd\te\n1\nasd: null
+ invalid element at row 2, column 'd': napačna vrednost v vrstici 2, stolpcu 'd'
+ def `test_save`:
+ '3 axis=1 row_labels
+ danny 0.12 3.45 6.78
+ eve 9.01 2.34 5.67
+ frank 8.90': null
+ danny: null
+ eve: null
+ frank: null
+ '3 axis=0 asymmetric col_labels row_labels
+ ann bert chad
+ danny 0.12 3.45 6.78
+ eve 9.01 2.34 5.67
+ frank 8.90 1.23 4.56': null
+ ann: null
+ bert: null
+ chad: null
+ class `TestEuclidean`:
+ def `setUpClass`:
+ iris: null
+ class `TestManhattan`:
+ def `setUpClass`:
+ iris: null
+ class `TestCosine`:
+ def `setUpClass`:
+ iris: null
+ class `TestJaccard`:
+ def `setUpClass`:
+ titanic: null
+ class `TestSpearmanR`:
+ def `setUpClass`:
+ datasets/breast-cancer-wisconsin.tab: null
+ class `TestSpearmanRAbsolute`:
+ def `setUpClass`:
+ datasets/breast-cancer-wisconsin.tab: null
+ class `TestPearsonR`:
+ def `setUpClass`:
+ datasets/breast-cancer-wisconsin.tab: null
+ class `TestPearsonRAbsolute`:
+ def `setUpClass`:
+ datasets/breast-cancer-wisconsin.tab: null
+ class `TestMahalanobis`:
+ def `test_correctness`:
+ mahalanobis: null
+ def `test_iris`:
+ iris: null
+ def `test_dimensions`:
+ iris: null
+ class `TestBhattacharyya`:
+ def `test_dense_array`:
+ iris: null
+ class `TestDistances`:
+ def `setUpClass`:
+ datasets/test5.tab: null
+ def `test_preprocess`:
+ c: null
+ d: null
+ a: null
+ b: null
+ cls: null
+ e: null
+ f: null
+ m: null
+ m1: null
+ m2: null
+ def `test_distance_to_instance`:
+ iris: null
+ __main__: null
+tests/test_distribution.py:
+ class `TestDiscreteDistribution`:
+ def `setUp`:
+ rgb: null
+ r: null
+ g: null
+ b: null
+ a: null
+ num: null
+ 1: null
+ 2: null
+ 3: null
+ def `test_from_table`:
+ zoo: null
+ type: null
+ def `test_construction`:
+ zoo: null
+ type: null
+ def `test_fallback`:
+ zoo: null
+ type: null
+ def `test_fallback_with_weights_and_nan`:
+ zoo: null
+ type: null
+ def `test_pickle`:
+ zoo: null
+ def `test_deepcopy`:
+ zoo: null
+ def `test_equality`:
+ zoo: null
+ def `test_indexing`:
+ zoo: null
+ amphibian: null
+ mammal: null
+ def `test_hash`:
+ zoo: null
+ type: null
+ def `test_add`:
+ zoo: null
+ type: null
+ def `test_normalize`:
+ zoo: null
+ type: null
+ def `test_modus`:
+ zoo: null
+ type: null
+ mammal: null
+ def `test_array_with_unknowns`:
+ zoo: null
+ type: null
+ class `TestContinuousDistribution`:
+ def `setUpClass`:
+ iris: null
+ n1: null
+ n2: null
+ def `test_from_table`:
+ petal length: null
+ def `test_construction`:
+ petal length: null
+ def `test_hash`:
+ petal length: null
+ def `test_normalize`:
+ petal length: null
+ def `test_random`:
+ petal length: null
+ class `TestClassDistribution`:
+ def `test_class_distribution`:
+ zoo: null
+ type: null
+ def `test_multiple_target_variables`:
+ n1: null
+ c1: null
+ r: null
+ g: null
+ b: null
+ a: null
+ c2: null
+ c3: null
+ class `TestGetDistribution`:
+ def `test_get_distribution`:
+ iris: null
+ class `TestDomainDistribution`:
+ def `test_get_distributions`:
+ iris: null
+ def `test_sparse_get_distributions`:
+ d%i: null
+ abc: null
+ c%i: null
+ ignore: null
+ .*: null
+ def `test_compute_distributions_metas`:
+ datasets/test9.tab: null
+ O: null
+ __main__: null
+tests/test_doctest.py:
+ Orange/widgets: null
+ Orange/canvas: null
+ Orange/datasets/: null
+ win32: null
+ def `find_modules`:
+ __file__: null
+ .py: null
+ .: null
+ def `suite`:
+ 1.14: null
+ def `setUp`:
+ Skip doctest on numpy >= 1.14.0: null
+ 'Unimportable module: {}': null
+tests/test_domain.py:
+ def `create_domain`:
+ AGE: null
+ Gender: null
+ M: null
+ F: null
+ incomeA: null
+ income: null
+ education: null
+ GS: null
+ HS: null
+ C: null
+ SSN: null
+ race: null
+ White: null
+ Hypsanic: null
+ African: null
+ Other: null
+ arrival: null
+ PickleDomain: null
+ empty_domain: null
+ with_continuous_variable: null
+ age: null
+ with_discrete_variable: null
+ gender: null
+ with_mixed_variables: null
+ with_continuous_class: null
+ incomeA: null
+ with_discrete_class: null
+ education: null
+ with_multiple_classes: null
+ with_metas: null
+ ssn: null
+ with_class_and_metas: null
+ income: null
+ race: null
+ arrival: null
+ class `TestDomainInit`:
+ def `test_init_source`:
+ Gender: null
+ def `test_init_source_class`:
+ Gender: null
+ income: null
+ def `test_from_numpy_names`:
+ Feature {}: null
+ Feature {:02}: null
+ Feature {:03}: null
+ Feature: null
+ Target: null
+ Meta {:03}: null
+ def `test_nonunique_domain_error`:
+ a: null
+ def `test_from_numpy_values`:
+ v{}: null
+ def `test_wrong_types`:
+ income: null
+ def `test_get_item`:
+ AGE: null
+ income: null
+ SSN: null
+ def `test_index`:
+ AGE: null
+ income: null
+ SSN: null
+ def `test_get_item_error`:
+ no_such_thing: null
+ def `test_index_error`:
+ no_such_thing: null
+ def `test_contains`:
+ AGE: null
+ income: null
+ SSN: null
+ no_such_thing: null
+ def `test_str`:
+ []: null
+ [AGE]: null
+ [ | AGE]: null
+ [Gender | AGE]: null
+ [Gender, income]: null
+ [Gender, income | AGE]: null
+ [Gender | AGE, income]: null
+ [Gender | AGE, income] {SSN}: null
+ [Gender | AGE, income] {SSN, race}: null
+ [] {SSN, race}: null
+ def `test_get_conversion`:
+ new_income: null
+ def `test_conversion`:
+ White: null
+ M: null
+ HS: null
+ 1234567: null
+ def `test_preprocessor_chaining`:
+ a: null
+ 01: null
+ b: null
+ y: null
+ def `test_different_domains_with_same_attributes_are_equal`:
+ var1: null
+ def `test_domain_conversion_is_fast_enough`:
+ f%i: null
+ c%i: null
+ m%i: null
+ def `test_domain_conversion_sparsity`:
+ a: null
+ b: null
+ c: null
+ d: null
+ e: null
+ f: null
+ def `test_get_item_similar_vars`:
+ Cluster: null
+ c: null
+ Cluster x: null
+ a: null
+ b: null
+ class `TestDomainFilter`:
+ def `setUp`:
+ iris: null
+ def `test_filter_visible`:
+ hidden: null
+ __main__: null
+tests/test_evaluation_clustering.py:
+ class `TestClusteringEvaluation`:
+ def `test_kmeans`:
+ iris: null
+tests/test_evaluation_scoring.py:
+ class `TestScoreMetaType`:
+ class `Score3`:
+ foo: null
+ def `test_registry`:
+ Score2: null
+ Score3: null
+ Score4: null
+ Score5: null
+ def `test_names`:
+ Score2: null
+ foo: null
+ Score4: null
+ Score5: null
+ class `TestPrecision`:
+ def `setUpClass`:
+ iris: null
+ def `test_precision_iris`:
+ weighted: null
+ def `test_precision_multiclass`:
+ y: null
+ 01234: null
+ weighted: null
+ def `test_precision_binary`:
+ y: null
+ 01: null
+ macro: null
+ class `TestRecall`:
+ def `setUpClass`:
+ iris: null
+ def `test_recall_iris`:
+ weighted: null
+ def `test_recall_multiclass`:
+ y: null
+ 01234: null
+ weighted: null
+ def `test_recall_binary`:
+ y: null
+ 01: null
+ macro: null
+ class `TestF1`:
+ def `setUpClass`:
+ iris: null
+ def `test_recall_iris`:
+ weighted: null
+ def `test_F1_multiclass`:
+ y: null
+ 01234: null
+ weighted: null
+ def `test_F1_binary`:
+ y: null
+ 01: null
+ class `TestAUC`:
+ def `setUpClass`:
+ iris: null
+ def `test_auc_on_multiclass_data_returns_1d_array`:
+ titanic: null
+ datasets/lenses.tab: null
+ def `compute_auc`:
+ x: null
+ 01: null
+ class `TestLogLoss`:
+ def `test_log_loss`:
+ iris: null
+ def `test_log_loss_calc`:
+ titanic: null
+ class `TestMatthewsCorrCoefficient`:
+ def `setUpClass`:
+ heart_disease: null
+ iris: null
+ housing: null
+ class `TestSpecificity`:
+ def `setUpClass`:
+ iris: null
+ def `test_specificity_iris`:
+ weighted: null
+ def `test_precision_multiclass`:
+ y: null
+ 01234: null
+ weighted: null
+ def `test_precision_binary`:
+ y: null
+ 01: null
+ def `test_errors`:
+ binary: null
+ abc: null
+ __main__: null
+tests/test_evaluation_testing.py:
+ class `TestSampling`:
+ def `setUpClass`:
+ iris: null
+ def `run_test_failed`:
+ def `fails`:
+ failing learner: null
+ def `run_test_preprocessor`:
+ iris: null
+ class `TestValidation`:
+ def `setUp`:
+ iris: null
+ def `test_warn_deprecations`:
+ Orange.evaluation.testing.Validation.__call__: null
+ def `test_obsolete_call_constructor`:
+ Orange.evaluation.testing.Validation.__call__: null
+ n_jobs: null
+ callback: null
+ learners: null
+ class `TestCrossValidation`:
+ def `setUpClass`:
+ iris: null
+ housing: null
+ def `test_augmented_data_classification`:
+ iris: null
+ Naive Bayes: null
+ Majority: null
+ def `test_augmented_data_regression`:
+ housing: null
+ Linear Regression: null
+ Mean Learner: null
+ class `TestCrossValidationFeature`:
+ def `add_meta_fold`:
+ fold: null
+ def `test_init`:
+ fold: null
+ abc: null
+ def `test_unknown`:
+ nan: null
+ def `test_bad_feature`:
+ fold: null
+ abc: null
+ x: null
+ ab: null
+ y: null
+ cd: null
+ class `TestLeaveOneOut`:
+ def `test_probs`:
+ iris: null
+ class `TestTestOnTestData`:
+ def `run_test_failed`:
+ def `fails`:
+ failing learner: null
+ def `test_train_data_argument`:
+ Orange.evaluation.testing.Validation.__new__: null
+ data: null
+ test_data: null
+ class `TestTrainTestSplit`:
+ def `test_fixed_training_size`:
+ iris: null
+ class `TestResults`:
+ def `setUp`:
+ iris: null
+tests/test_filter.py:
+ class `TestFilterValues`:
+ def `setUp`:
+ iris: null
+ def `test_values`:
+ Orange.data.Table._filter_values: null
+ class `TestIsDefinedFilter`:
+ def `setUp`:
+ datasets/imports-85.tab: null
+ def `test_eq_hash`:
+ a: null
+ b: null
+ def `test_is_defined_filter_not_implemented`:
+ Orange.data.Table._filter_is_defined: null
+ class `TestHasClassFilter`:
+ def `setUp`:
+ datasets/imports-85.tab: null
+ def `test_has_class_multiclass`:
+ x: null
+ 01: null
+ y1: null
+ y2: null
+ def `test_has_class_filter_not_implemented`:
+ Orange.data.Table._filter_has_class: null
+ class `TestFilterContinuous`:
+ def `setUp`:
+ abcd: null
+ def `test_position`:
+ a: null
+ b: null
+ c: null
+ d: null
+ def `test_str`:
+ feature(1) = 1: null
+ foo: null
+ foo = 1: null
+ a = 1: null
+ a ≠ 1: null
+ a < 1: null
+ a ≤ 1: null
+ a > 1: null
+ a ≥ 1: null
+ 1 ≤ a ≤ 2: null
+ not 1 ≤ a ≤ 2: null
+ a is defined: null
+ invalid operator: null
+ class `TestFilterString`:
+ def `setUp`:
+ zoo: null
+ def `test_case_sensitive`:
+ name: null
+ Aardvark: null
+ def `test_operators`:
+ name: null
+ aardvark: null
+ bass: null
+ aa: null
+ a: null
+ aaz: null
+ ard: null
+ ra: null
+ aar: null
+ aard: null
+ ?: null
+ nan: null
+ class `TestSameValueFilter`:
+ def `setUp`:
+ zoo: null
+ type: null
+ legs: null
+ name: null
+ mammal: null
+ girl: null
+ def `test_same_value_filter_table`:
+ mammal: null
+ girl: null
+ def `test_has_class_filter_not_implemented`:
+ Orange.data.Table._filter_same_value: null
+ class `TestFilterReprs`:
+ def `setUp`:
+ zoo: null
+ type: null
+ mammal: null
+ def `test_reprs`:
+ name: null
+ Aardvark: null
+ ^c...$: null
+tests/test_fitter.py:
+ class `DummyFitter`:
+ dummy: null
+ classification: null
+ regression: null
+ class `FitterTest`:
+ def `setUpClass`:
+ heart_disease: null
+ housing: null
+ def `test_dispatches_to_correct_learner`:
+ Classification learner was never called for classification: null
+ problem: null
+ Regression learner was called for classification problem: null
+ Regression learner was never called for regression problem: null
+ Classification learner was called for regression problem: null
+ def `test_constructs_learners_with_appropriate_parameters`:
+ class `DummyFitter`:
+ classification: null
+ regression: null
+ Fitter did not properly distribute params to learners: null
+ def `test_correctly_sets_preprocessors_on_learner`:
+ Fitter did not properly pass the `use_default_preprocessors`: null
+ attribute to its learners: null
+ Fitter did not properly pass its preprocessors to its learners: null
+ def `test_properly_delegates_preprocessing`:
+ class `DummyFitter`:
+ classification: null
+ regression: null
+ def `test_default_kwargs_with_change_kwargs`:
+ class `DummyClassificationLearner`:
+ def `__init__`:
+ classification_default: null
+ class `DummyRegressionLearner`:
+ def `__init__`:
+ regression_default: null
+ class `DummyFitter`:
+ classification: null
+ regression: null
+ def `_change_kwargs`:
+ param: null
+ classification_param: null
+ regression_param: null
+ iris: null
+ housing: null
+ classification_default: null
+ regression_default: null
+tests/test_freeviz.py:
+ class `TestFreeviz`:
+ def `setUpClass`:
+ iris: null
+ housing: null
+ zoo: null
+ def `test_regression`:
+ housing: null
+ def `test_weights`:
+ Test weights is too slow.: null
+ iris: null
+ def `test_raising_errors`:
+ iris: null
+ titanic: null
+ def `test_transform_changed_domain`:
+ titanic: null
+tests/test_fss.py:
+ class `TestFSS`:
+ def `setUpClass`:
+ titanic: null
+ heart_disease: null
+ iris: null
+ datasets/imports-85.tab: null
+ class `TestSelectRandomFeatures`:
+ def `test_select_random_features`:
+ heart_disease: null
+tests/test_impute.py:
+ class `TestDoNotImpute`:
+ def `test_str`:
+ iris: null
+ def `test_support`:
+ iris: null
+ class `TestAverage`:
+ def `test_replacement`:
+ a: null
+ b: null
+ ABC: null
+ c: null
+ class `TestDefault`:
+ def `test_default`:
+ B: null
+ a: null
+ b: null
+ c: null
+ C: null
+ def `test_str`:
+ 1: null
+ y: null
+ class `TestAsValue`:
+ def `_create_table`:
+ A: null
+ 0: null
+ 1: null
+ 2: null
+ B: null
+ C: null
+ def `test_replacement`:
+ 1: null
+ 2: null
+ N/A: NN
+ undef: ne
+ def: da
+ def `test_sparse`:
+ undef: ne
+ def: da
+ class `TestModel`:
+ def `test_replacement`:
+ A: null
+ 0: null
+ 1: null
+ 2: null
+ B: null
+ C: null
+ Z: null
+ P: null
+ M: null
+ def `test_support`:
+ iris: null
+ def `test_str`:
+ y: null
+ def `test_bad_domain`:
+ iris: null
+ class `TestRandom`:
+ def `test_replacement`:
+ A: null
+ 0: null
+ 1: null
+ 2: null
+ B: null
+ C: null
+ class `TestImputer`:
+ def `test_imputer`:
+ datasets/imports-85.tab: null
+tests/test_instance.py:
+ class `TestInstance`:
+ def `setUpClass`:
+ Feature %i: null
+ Class %i: null
+ Meta 1: null
+ XYZ: null
+ Meta 2: null
+ Meta 3: null
+ def `test_init_x_arr`:
+ x: null
+ g: null
+ MF: null
+ def `test_init_x_list`:
+ x: null
+ g: null
+ MF: null
+ def `test_init_xy_arr`:
+ x: null
+ g: null
+ MF: null
+ y: null
+ ABC: null
+ def `test_init_xy_list`:
+ x: null
+ g: null
+ MF: null
+ y: null
+ ABC: null
+ def `test_init_xym`:
+ x: null
+ g: null
+ MF: null
+ y: null
+ ABC: null
+ M: null
+ B: null
+ X: null
+ Foo: null
+ def `test_init_inst`:
+ x: null
+ g: null
+ MF: null
+ y: null
+ ABC: null
+ M: null
+ B: null
+ X: null
+ Foo: null
+ z: null
+ w: null
+ def `test_get_item`:
+ x: null
+ g: null
+ MF: null
+ y: null
+ ABC: null
+ M: null
+ B: null
+ X: null
+ Foo: null
+ Meta 2: null
+ asdf: null
+ def `test_list`:
+ x: null
+ g: null
+ MF: null
+ y: null
+ ABC: null
+ M: null
+ B: null
+ X: null
+ Foo: null
+ def `test_set_item`:
+ x: null
+ g: null
+ MF: null
+ y: null
+ ABC: null
+ M: null
+ B: null
+ X: null
+ Foo: null
+ F: null
+ C: null
+ A: null
+ Y: null
+ Meta 1: null
+ Z: null
+ N: null
+ asdf: null
+ def `test_str`:
+ x: null
+ g: null
+ MF: null
+ [42, M]: null
+ y: null
+ ABC: null
+ M: null
+ B: null
+ [42, M | B]: null
+ X: null
+ Foo: null
+ [42, M | B] {X, 43, Foo}: null
+ [ | B] {X, 43, Foo}: null
+ [] {X, 43, Foo}: null
+ [{}]: null
+ ', ': null
+ {x:g}: null
+ {}: null
+ def `test_repr`:
+ [0, 1, 2, 3, 4, ...]: null
+ [0.000, 1.000, 2.000, 3.000, 4.000, ...]: null
+ def `test_eq`:
+ x: null
+ g: null
+ MF: null
+ y: null
+ ABC: null
+ M: null
+ B: null
+ X: null
+ Foo: null
+ C: null
+ Y: null
+ 33: null
+ Bar: null
+ def `test_instance_id`:
+ x: null
+ __main__: null
+tests/test_io.py:
+ class `WildcardReader`:
+ .wild: null
+ .wild[0-9]: null
+ Dummy reader for testing extensions: null
+ class `TestChooseReader`:
+ def `test_usual_extensions`:
+ t.tab: null
+ t.csv: null
+ t.pkl: null
+ test.undefined_extension: null
+ def `test_wildcard_extension`:
+ t.wild: null
+ t.wild2: null
+ t.wild2a: null
+ class `SameExtension`:
+ .same_extension: null
+ Same extension, different priority: null
+ class `TestMultipleSameExtension`:
+ def `test_find_reader`:
+ some.same_extension: null
+ class `TestLocate`:
+ def `test_locate_sample_datasets`:
+ iris.tab: null
+ iris: null
+ def `test_locate_wildcard_extension`:
+ t.wild9: null
+ t.wild8: null
+ wt: null
+ \n: null
+ t: null
+ class `TestReader`:
+ def `test_open_bad_pickle`:
+ pickle.load: null
+ foo: null
+ def `test_empty_columns`:
+ '\
+ a, b
+ 1, 0,
+ 1, 2,
+ ': null
+ Columns with no headers were removed.: null
+ def `test_type_annotations`:
+ test_file: null
+ def `test_header_call`:
+ csv.DictWriter.writerow: null
+ iris: null
+ def `test_load_pickle`:
+ default: null
+ datasets/sailing-orange-3-20.pkl: null
+ datasets/sailing-orange-3-20.pkl.gz: null
+ datasets/sailing-orange-3-21.pkl: null
+ datasets/sailing-orange-3-21.pkl.gz: null
+ __main__: null
+tests/test_knn.py:
+ class `TestKNNLearner`:
+ def `setUpClass`:
+ iris: null
+ housing: null
+ def `test_nan`:
+ Feat 1: null
+ Class: null
+ def `test_random`:
+ Feature 1: null
+ Feature 2: null
+ Feature 3: null
+ Feature 4: null
+ Feature 5: null
+ Target 1: null
+ abcdefghij: null
+ def `test_KNN_mahalanobis`:
+ mahalanobis: null
+ def `test_KNN_regression`:
+ mahalanobis: null
+tests/test_lda.py:
+ class `TestLDA`:
+ def `test_lda`:
+ iris: null
+ eigen: null
+ def `test_transform_changed_domain`:
+ iris: null
+tests/test_linear_bfgs_regression.py:
+ class `TestLinearRegressionLearner`:
+ def `test_preprocessors`:
+ housing: null
+tests/test_linear_regression.py:
+ class `TestLinearRegressionLearner`:
+ def `setUpClass`:
+ housing: null
+ def `test_linear_scorer`:
+ LSTAT: null
+ def `test_scorer`:
+ LSTAT: null
+tests/test_logistic_regression.py:
+ class `TestLogisticRegressionLearner`:
+ def `setUpClass`:
+ iris: null
+ heart_disease.tab: null
+ zoo: null
+ def `test_LogisticRegressionNormalization`:
+ Re-enable when Logistic regression supports normalization.: null
+ c0: null
+ def `test_probability`:
+ l1: null
+ def `test_learner_scorer`:
+ chest pain: null
+ def `test_learner_scorer_multiclass`:
+ legs: null
+ feathers: null
+ fins: null
+ backbone: null
+ milk: null
+ aquatic: null
+ def `test_auto_solver`:
+ l2: null
+ auto: null
+ lbfgs: null
+ l1: null
+ liblinear: null
+tests/test_majority.py:
+ class `TestMajorityLearner`:
+ def `setUpClass`:
+ iris: null
+ def `test_missing`:
+ iris: null
+ ?: null
+ def `test_continuous`:
+ datasets/imports-85.tab: null
+ def `test_returns_random_class`:
+ bool: null
+ Majority always returns the same value.: null
+tests/test_manifold.py:
+ class `TestManifold`:
+ def `setUpClass`:
+ datasets/ionosphere.tab: null
+ iris: null
+ def `__mds_test_helper`:
+ precomputed: null
+ euclidean: null
+ def `test_mds_pca_init`:
+ PCA: null
+ precomputed: null
+ euclidean: null
+ def `__lle_test_helper`:
+ ltsa: null
+ dense: null
+ hessian: null
+ modified: null
+ def `test_torgerson`:
+ auto: null
+ lapack: null
+ arpack: null
+ madness: null
+ class `TestTSNE`:
+ def `setUpClass`:
+ iris: null
+ def `test_continue_optimization`:
+ Embedding should change after further optimization.: null
+ def `test_bh_correctness`:
+ bh: null
+ random: null
+ def `test_fft_correctness`:
+ fft: null
+ random: null
+ def `test_pickle`:
+ Windows: null
+ Files locked on Windows: null
+ exact: null
+ approx: null
+ Pickling failed with `neighbors={neighbors}`: null
+tests/test_mean.py:
+ class `TestMeanLearner`:
+ def `test_empty`:
+ datasets/imports-85.tab: null
+ def `test_discrete`:
+ iris: null
+tests/test_naive_bayes.py:
+ class `TestNaiveBayesLearner`:
+ def `setUpClass`:
+ titanic: null
+ def `test_NaiveBayes`:
+ iris: null
+ def `test_degenerate`:
+ A: null
+ B: null
+ C: null
+ CLASS: null
+ M: null
+ F: null
+ def `test_allnan_cv`:
+ datasets/lenses.tab: null
+ def `test_compare_results_of_predict_and_predict_storage`:
+ titanic: null
+ def `_test_predictions`:
+ a: null
+ ab: null
+ b: null
+ abc: null
+ c: null
+ y: null
+ def `_test_predictions_with_absent_class`:
+ a: null
+ ab: null
+ b: null
+ abc: null
+ c: null
+ y: null
+ abcd: null
+ def `test_no_attributes`:
+ y: null
+ abc: null
+ def `test_no_targets`:
+ x: null
+ abc: null
+ y: null
+ __main__: null
+tests/test_neural_network.py:
+ class `TestNNLearner`:
+ def `setUpClass`:
+ iris: null
+ housing: null
+ def `setUp`:
+ ignore: null
+ .*: null
+tests/test_normalize.py:
+ class `TestNormalizer`:
+ def `compare_tables`:
+ c1: null
+ c2: null
+ d1: null
+ d2: null
+ n1: null
+ n2: null
+ c3: null
+ d3: null
+ c4: null
+ cl1: null
+ cl2: null
+ def `setUpClass`:
+ datasets/test5.tab: null
+ def `test_normalize_default`:
+ a: null
+ ?: null
+ b: null
+ c: null
+ def `test_normalize_transform_by_sd`:
+ a: null
+ ?: null
+ b: null
+ c: null
+ def `test_normalize_transform_class`:
+ a: null
+ ?: null
+ b: null
+ c: null
+ def `test_normalize_transform_by_span`:
+ a: null
+ ?: null
+ b: null
+ c: null
+ def `test_normalize_transform_by_span_zero`:
+ a: null
+ ?: null
+ b: null
+ c: null
+ def `test_normalize_transform_by_span_class`:
+ a: null
+ ?: null
+ b: null
+ c: null
+ def `test_normalize_transform_by_span_zero_class`:
+ a: null
+ ?: null
+ b: null
+ c: null
+ def `test_skip_normalization`:
+ skip-normalization: null
+ def `test_datetime_normalization`:
+ datasets/test10.tab: null
+ 1995-01-21: null
+ a: null
+ ?: null
+ 2003-07-23: null
+ b: null
+ 1967-03-12: null
+ c: null
+ def `test_retain_vars_attributes`:
+ iris: null
+ foo: null
+ baz: null
+ def `test_number_of_decimals`:
+ Foo: null
+ -1.225: null
+ 0.0: null
+ 1.225: null
+ __main__: null
+tests/test_orange.py:
+ class `TestOrange`:
+ def `test_orange_has_modules`:
+ canvas: null
+ datasets: null
+ testing: null
+ tests: null
+ setup: null
+ util: null
+ widgets: null
+tests/test_orangetree.py:
+ class `TestTree`:
+ def `test_refuse_binarize_too_many_values`:
+ x: null
+ v{}: null
+ def `test_find_mapping`:
+ x: null
+ abcdefgh: null
+ r1: null
+ r2: null
+ abcd: null
+ def `test_find_threshold`:
+ x: null
+ r1: null
+ abcd: null
+ r2: null
+ def `test_no_data`:
+ r1: null
+ ab: null
+ r2: null
+ abcd: null
+ r3: null
+ def `test_all_values_missing`:
+ r1: null
+ ab: null
+ r2: null
+ abcd: null
+ r3: null
+ def `test_single_valued_attr`:
+ r1: null
+ a: null
+ def `test_allow_null_nodes`:
+ x: null
+ abc: null
+ r1: null
+ r2: null
+ ab: null
+ class `TestClassifier`:
+ def `setUpClass`:
+ sufficient_majority: null
+ iris: null
+ heart_disease: null
+ y: null
+ nyx: null
+ class `TestRegressor`:
+ def `setUpClass`:
+ housing: null
+ datasets/imports-85.tab: null
+ y: null
+ class `TestNodes`:
+ def `test_node`:
+ y: null
+ foo: null
+ def `test_discrete_node`:
+ y: null
+ abc: null
+ foo: null
+ nan: null
+ def `test_mapped_node`:
+ y: null
+ abc: null
+ foo: null
+ nan: null
+ 1001: null
+ def `test_numeric_node`:
+ y: null
+ foo: null
+ nan: null
+ class `TestTreeModel`:
+ def `setUp`:
+ v1: null
+ v2: null
+ abc: null
+ v3: null
+ def: null
+ y: null
+ def `test_compile_and_run_cont`:
+ nan: null
+ d1: null
+ d2: null
+ abc: null
+ d3: null
+ def: null
+ dy: null
+ def `test_null_nodes`:
+ d4: null
+ ab: null
+ ey: null
+ def `test_print`:
+ ' [ 1 42] v1 ≤ 13
+ [ 2 42] v2 a
+ [ 3 42] v2 b
+ [ 4 42] v2 c
+ [ 5 42] v1 > 13
+ [ 6 42] v3 f
+ [ 7 42] v3 d or e
+': ' [ 1 42] v1 ≤ 13
+ [ 2 42] v2 a
+ [ 3 42] v2 b
+ [ 4 42] v2 c
+ [ 5 42] v1 > 13
+ [ 6 42] v3 f
+ [ 7 42] v3 d ali e
+'
+ def `test_compile_and_run_cont_sparse`:
+ nan: null
+tests/test_pca.py:
+ class `TestPCA`:
+ def `setUpClass`:
+ datasets/ionosphere.tab: null
+ iris: null
+ zoo: null
+ def `__rnd_pca_test_helper`:
+ randomized: null
+ def `test_improved_randomized_pca_properly_called`:
+ randomized: null
+ arpack: null
+ def `test_improved_randomized_pca_dense_data`:
+ full: null
+ randomized: null
+ def `test_improved_randomized_pca_sparse_data`:
+ full: null
+ randomized: null
+ def `test_incremental_pca`:
+ 0.20: null
+ https://github.com/scikit-learn/scikit-learn/issues/12234: null
+ def `test_PCA_scorer`:
+ petal length: null
+ petal width: null
+tests/test_polynomial_learner.py:
+ class `TestPolynomialLearner`:
+ def `test_PolynomialLearner`:
+ x: null
+ y: null
+tests/test_preprocess.py:
+ class `TestRemoveConstant`:
+ def `test_nothing_to_remove`:
+ iris: null
+ class `TestRemoveNaNRows`:
+ def `test_remove_row`:
+ iris: null
+ class `TestRemoveNaNColumns`:
+ def `test_column_filtering`:
+ iris: null
+ def `test_column_filtering_sparse`:
+ iris: null
+ class `TestAdaptiveNormalize`:
+ def `setUp`:
+ iris: null
+ class `TestRemoveSparse`:
+ def `setUp`:
+ a: null
+ b: null
+ __main__: null
+tests/test_preprocess_cur.py:
+ class `TestCURProjector`:
+ def `setUpClass`:
+ datasets/ionosphere.tab: null
+tests/test_preprocess_pca.py:
+ class `TestPCAProjector`:
+ def `setUpClass`:
+ datasets/ionosphere.tab: null
+tests/test_radviz.py:
+ class `TestRadViz`:
+ def `setUpClass`:
+ iris: null
+ titanic: null
+tests/test_random_forest.py:
+ class `RandomForestTest`:
+ def `setUpClass`:
+ iris: null
+ housing: null
+ def `test_classification_scorer`:
+ petal length: null
+ petal width: null
+ def `test_regression_scorer`:
+ LSTAT: null
+ RM: null
+ def `test_scorer_feature`:
+ datasets/test4.tab: null
+ def `test_max_features_cls`:
+ heart_disease: null
+ __main__: null
+tests/test_randomize.py:
+ class `TestRandomizer`:
+ def `setUpClass`:
+ zoo: null
+ def `test_randomize_keep_original_data`:
+ zoo: null
+tests/test_regression.py:
+ def `all_learners`:
+ Orange.regression.: null
+ base: null
+ class `TestRegression`:
+ def `test_adequacy_all_learners`:
+ iris: null
+ def `test_adequacy_all_learners_multiclass`:
+ datasets/test8.tab: null
+ def `test_missing_class`:
+ datasets/imports-85.tab: null
+ __main__: null
+tests/test_remove.py:
+ class `TestRemover`:
+ def `setUpClass`:
+ datasets/test8.tab: null
+ def `test_remove`:
+ iris: null
+ sepal length: null
+ sepal width: null
+ petal length: null
+ removed: null
+ reduced: null
+ sorted: null
+ def `test_remove_constant_attr`:
+ c0: null
+ d0: null
+ cl1: null
+ cl0: null
+ cl3: null
+ cl4: null
+ 4: null
+ 6: null
+ 1: null
+ 2: null
+ 3: null
+ removed: null
+ reduced: null
+ sorted: null
+ def `test_remove_constant_class`:
+ c1: null
+ c0: null
+ d1: null
+ d0: null
+ cl1: null
+ cl0: null
+ 1: null
+ 4: null
+ 6: null
+ 2: null
+ 3: null
+ removed: null
+ reduced: null
+ sorted: null
+ def `test_remove_unused_values_attr`:
+ c1: null
+ c0: null
+ d1: null
+ d0: null
+ cl1: null
+ cl0: null
+ cl3: null
+ cl4: null
+ 1: null
+ 4: null
+ 2: null
+ 3: null
+ removed: null
+ reduced: null
+ sorted: null
+ def `test_remove_unused_values_class`:
+ c1: null
+ c0: null
+ d1: null
+ d0: null
+ cl1: null
+ cl0: null
+ cl3: null
+ cl4: null
+ 1: null
+ 4: null
+ 6: null
+ 2: null
+ 3: null
+ removed: null
+ reduced: null
+ sorted: null
+ def `test_remove_unused_values_metas`:
+ datasets/test9.tab: null
+ b: null
+ c: null
+ d: null
+ 1: null
+ 2: null
+ f: null
+ hey: null
+ def `test_remove_unused_values_attr_sparse`:
+ 1: null
+ 4: null
+ 2: null
+ 3: null
+ removed: null
+ reduced: null
+ sorted: null
+ def `test_remove_mapping`:
+ iris: null
+ def `test_remove_mapping_after_compute_value`:
+ housing: null
+tests/test_rules.py:
+ class `TestRuleInduction`:
+ def `setUp`:
+ titanic: null
+ iris: null
+ def `test_base_RuleLearner`:
+ data_stopping: null
+ cover_and_remove: null
+ rule_stopping: null
+ rule_finder: null
+ search_algorithm: null
+ search_strategy: null
+ quality_evaluator: null
+ complexity_evaluator: null
+ general_validator: null
+ significance_validator: null
+ def `testOrderedCN2SDLearner`:
+ gamma: null
+ def `testUnorderedCN2SDLearner`:
+ gamma: null
+ __main__: null
+tests/test_score_feature.py:
+ class `FeatureScoringTest`:
+ def `setUpClass`:
+ zoo: null
+ housing: null
+ datasets/breast-cancer-wisconsin.tab: null
+ datasets/lenses.tab: null
+ def `test_chi2`:
+ c: null
+ def `test_anova`:
+ c: null
+ def `test_relieff`:
+ Bare_Nuclei: null
+ Clump thickness: null
+ Marginal_Adhesion: null
+ tear_rate: null
+ def `test_rrelieff`:
+ LSTAT: null
+ RM: null
+ def `test_fcbf`:
+ legs: null
+ milk: null
+ toothed: null
+ feathers: null
+ backbone: null
+ 1: null
+ 2: null
+ target: null
+ ignore: null
+ invalid value.*double_scalars: null
+ invalid value.*true_divide: null
+ def `test_learner_with_transformation`:
+ iris: null
+ def `test_learner_transform_without_variable`:
+ def `preprocessor_random_column`:
+ nat: null
+ __main__: null
+tests/test_sgd.py:
+ class `TestSGDRegressionLearner`:
+ def `setUp`:
+ ignore: null
+ .*: null
+ def `test_coefficients`:
+ housing: null
+ class `TestSGDClassificationLearner`:
+ def `setUpClass`:
+ iris: null
+ def `setUp`:
+ ignore: null
+ .*: null
+ def `test_predictions_shapes`:
+ modified_huber: null
+tests/test_simple_random_forest.py:
+ class `TestSimpleRandomForestLearner`:
+ def `test_SimpleRandomForest_classification`:
+ iris: null
+ def `test_SimpleRandomForest_regression`:
+ housing: null
+ __main__: null
+tests/test_simple_tree.py:
+ class `TestSimpleTreeLearner`:
+ def `setUp`:
+ d{}: null
+ 0: null
+ 1: null
+ c{}: null
+ yc: null
+ 2: null
+ yr: null
+ def `test_SimpleTree_classification_tree`:
+ '{ 1 4 -1.17364 { 1 5 0.37564 { 2 0.00 0.00 0.56 } ': null
+ '{ 2 0.00 3.00 1.14 } } { 1 4 -0.41863 { 1 5 0.14592 ': null
+ '{ 2 3.54 0.54 0.70 } { 2 2.46 0.46 2.47 } } { 1 4 0.24404 ': null
+ '{ 1 4 0.00654 { 1 3 -0.15750 { 2 1.00 0.00 0.45 } ': null
+ '{ 2 1.00 3.00 0.48 } } { 2 1.00 5.00 0.70 } } { 1 5 0.32635 ': null
+ { 2 0.52 2.52 4.21 } { 2 2.48 3.48 1.30 } } } } }: null
+ def `test_SimpleTree_regression_tree`:
+ '{ 0 2 { 1 4 0.13895 { 1 4 -0.32607 { 2 4.60993 1.71141 } ': null
+ '{ 2 4.96454 3.56122 } } { 2 7.09220 -4.32343 } } { 1 4 -0.35941 ': null
+ '{ 0 0 { 1 5 -0.20027 { 2 3.54255 0.95095 } { 2 5.50000 -5.56049 } ': null
+ '} { 2 7.62411 2.03615 } } { 1 5 0.40797 { 1 3 0.83459 ': null
+ '{ 2 3.71094 0.27028 } { 2 5.18490 3.70920 } } { 2 5.77083 5.93398 ': null
+ } } } }: null
+ def `test_SimpleTree_single_instance`:
+ iris: null
+ def `test_SimpleTree_to_string_classification`:
+ d1: null
+ ef: null
+ c1: null
+ cls: null
+ abc: null
+ e: null
+ a: null
+ b: null
+ f: null
+ c: null
+ \n: null
+ d1 ([2.0, 2.0, 2.0])\n: null
+ ': e\n': null
+ ' c1 ([2.0, 2.0, 0.0])\n': null
+ ' : <=2.5\n': null
+ ' c1 ([1.0, 2.0, 0.0])\n': null
+ ' : <=1.5 --> a ([1.0, 1.0, 0.0])\n': null
+ ' : >1.5 --> b ([0.0, 1.0, 0.0])\n': null
+ ' : >2.5 --> a ([1.0, 0.0, 0.0])\n': null
+ ': f --> c ([0.0, 0.0, 2.0])': null
+ def `test_SimpleTree_to_string_regression`:
+ d1: null
+ ef: null
+ c1: null
+ cls: null
+ e: null
+ f: null
+ \n: null
+ 'd1 (20: 6.0)\n': null
+ ': e\n': null
+ ' c1 (15: 4.0)\n': null
+ ' : <=2.5\n': null
+ ' c1 (16.6667: 3.0)\n': null
+ ' : <=1.5 --> (15: 2.0)\n': null
+ ' : >1.5 --> (20: 1.0)\n': null
+ ' : >2.5 --> (10: 1.0)\n': null
+ ': f --> (30: 2.0)': null
+ def `test_SimpleTree_to_string_cls_decimals`:
+ datasets/lenses.tab: null
+ ' astigmatic ([4.0, 3.0, 5.0])': null
+ \n: null
+ def `test_SimpleTree_to_string_reg_decimals`:
+ housing: null
+ ' LSTAT (19.9: 430.0)': null
+ \n: null
+ __main__: null
+tests/test_softmax_regression.py:
+ class `TestSoftmaxRegressionLearner`:
+ def `setUpClass`:
+ iris: null
+tests/test_sparse_reader.py:
+ '\
+abc, def, g=1, h , ij k =5, t # ignore this, foo=42
+
+def , g , h,ij,kl=4,m,,,
+# nothing here
+\t\t\tdef
+': null
+ '\
+abc, g=1, h , ij | k =5, t # ignore this, foo=42
+
+, g , h,ij|,kl=4, k ;m,,,
+# nothing here
+\t\t\t;def
+': null
+ class `TestTabReader`:
+ def `test_read_simple`:
+ ascii: null
+ abc: null
+ def: null
+ g: null
+ h: null
+ ij k: null
+ t: null
+ ij: null
+ kl: null
+ m: null
+ def `test_read_complex`:
+ ascii: null
+ abc: null
+ g: null
+ h: null
+ ij: null
+ k: null
+ t: null
+ kl: null
+ m: null
+ def: null
+ __main__: null
+tests/test_sparse_table.py:
+ class `InterfaceTest`:
+ def `test_row_assignment`:
+ ignore: null
+ .*: null
+ def `test_value_assignment`:
+ ignore: null
+ .*: null
+ def `test_str`:
+ iris: null
+ def `test_Y_setter_1d`:
+ iris: null
+ def `test_Y_setter_2d`:
+ iris: null
+ def `test_Y_setter_2d_single_instance`:
+ iris: null
+tests/test_stack.py:
+ class `TestStackedFitter`:
+ def `setUpClass`:
+ iris: null
+ housing: null
+tests/test_statistics.py:
+ def `dense_sparse`:
+ def `_wrapper`:
+ def `sparse_with_explicit_zero`:
+ Can not inject explicit zero into non-sparse matrix: null
+ ignore: null
+ .*: null
+ class `TestUtil`:
+ def `setUp`:
+ nan: null
+ def `test_stats_non_numeric`:
+ a: null
+ b: null
+ def `test_stats_long_string_mem_use`:
+ a: null
+ def `test_nanmin_nanmax`:
+ ignore: null
+ .*All-NaN slice encountered.*: null
+ def `test_mean`:
+ ignore: null
+ .*mean\(\) resulted in nan.*: null
+tests/test_svm.py:
+ class `TestSVMLearner`:
+ def `setUpClass`:
+ datasets/ionosphere.tab: null
+ def `test_LinearSVM`:
+ ignore: null
+ .*: null
+ def `test_SVR`:
+ rbf: null
+ def `test_NuSVR`:
+ rbf: null
+ __main__: null
+tests/test_tab_reader.py:
+ class `TestTabReader`:
+ def `test_read_easy`:
+ '\
+ Feature 1\tFeature 2\tClass 1\tClass 42
+ d \tM F \td \td
+ \t \tclass \tclass
+ 1.0 \tM \t5 \trich
+ \tF \t7 \tpoor
+ 2.0 \tM \t4 \t
+ ': null
+ Feature 1: null
+ Feature 2: null
+ Class 1: null
+ Class 42: null
+ def `test_read_save_quoted`:
+ '\
+ S\tA
+ s\td
+ m\t
+ """a"""\ti
+ """b"""\tj
+ """c\td"""\tk
+ ': null
+ '"a"': null
+ '"b"': null
+ '"c\td"': null
+ def `test_read_and_save_attributes`:
+ '\
+ Feature 1\tFeature 2\tClass 1\tClass 42
+ d \tM F \td \td
+ \ta=1 b=2 \tclass x=a\\ longer\\ string \tclass
+ 1.0 \tM \t5 \trich
+ ': null
+ Feature 2: null
+ a: null
+ b: null
+ Class 1: null
+ x: null
+ a longer string: null
+ /path/to/somewhere: null
+ path: null
+ def `test_read_data_oneline_header`:
+ '\
+ data1\tdata2\tdata3
+ 0.1\t0.2\t0.3
+ 1.1\t1.2\t1.5
+ ': null
+ data1: null
+ def `test_read_data_no_header`:
+ '\
+ 0.1\t0.2\t0.3
+ 1.1\t1.2\t1.5
+ ': null
+ Feature 1: null
+ def `test_read_data_no_header_feature_reuse`:
+ '\
+ 0.1\t0.2\t0.3
+ 1.1\t1.2\t1.5
+ ': null
+ def `test_renaming`:
+ '\
+ a\t b\t a\t a\t b\t a\t c\t a\t b
+ c\t c\t c\t c\t c\t c\t c\t c\t c
+ \t \t \t \t class\t class\t \t \t meta
+ 0\t 0\t 0\t 0\t 0\t 0\t 0\t 0 ': null
+ wt: null
+ .tab: null
+ a (1): null
+ b (1): null
+ a (2): null
+ a (3): null
+ c: null
+ a (5): null
+ b (2): null
+ a (4): null
+ b (3): null
+ def `test_dataset_with_weird_names_and_column_attributes`:
+ datasets/weird.tab: null
+ 5534fab7fad58d5df50061f1: null
+ 5534fab8fad58d5de20061f8: null
+ Gene expressions (dd_AX4_on_Ka_20Hr_bio1_mapped.bam): null
+ Gene expressions (dd_AX4_on_Ka_20Hr_bio2_mapped.bam): null
+ 1: null
+ 2: null
+ def `test_sheets`:
+ \n: null
+ xd dbac: null
+ def `test_attributes_saving`:
+ test: null
+ out.tab: null
+ def `test_attributes_saving_as_txt`:
+ a: null
+ aa: null
+ b: null
+ bb: null
+ out.tab: null
+ def `test_data_name`:
+ iris: null
+ def `test_metadata`:
+ a: null
+ aa: null
+ b: null
+ bb: null
+ out.tab: null
+ .metadata: null
+ def `test_no_metadata`:
+ out.tab: null
+ .metadata: null
+ def `test_had_metadata_now_there_is_none`:
+ a: null
+ aa: null
+ out.tab: null
+ .metadata: null
+ def `test_number_of_decimals`:
+ heart_disease: null
+ age: null
+ ST by exercise: null
+ housing: null
+ CRIM: null
+ INDUS: null
+ AGE: null
+ def `test_many_discrete`:
+ Poser\nd\n\n: null
+ K: null
+ \n: null
+tests/test_table.py:
+ class `TableTestCase`:
+ def `test_indexing_class`:
+ datasets/test1: null
+ t: null
+ f: null
+ d: null
+ def `test_filename`:
+ iris: null
+ iris.tab: null
+ datasets/test2.tab: null
+ test2.tab: null
+ def `test_indexing`:
+ ignore: null
+ datasets/test2: null
+ c: null
+ 0: null
+ b: null
+ a: null
+ A: null
+ e: null
+ i: null
+ def `test_indexing_example`:
+ ignore: null
+ datasets/test2: null
+ c: null
+ 0: null
+ b: null
+ a: null
+ A: null
+ e: null
+ i: null
+ def `test_indexing_assign_value`:
+ ignore: null
+ datasets/test2: null
+ a: null
+ A: null
+ B: null
+ b: null
+ def `test_indexing_assign_example`:
+ ignore: null
+ datasets/test2: null
+ a: null
+ 3.14: null
+ 1: null
+ f: null
+ t: null
+ 0: null
+ 3.16: null
+ e: null
+ mmmapp: null
+ def `test_slice`:
+ ignore: null
+ datasets/test2: null
+ def `test_assign_slice_value`:
+ ignore: null
+ datasets/test2: null
+ b: null
+ a: null
+ A: null
+ ABAAACCDE: null
+ def `test_multiple_indices`:
+ ignore: null
+ datasets/test2: null
+ def `test_assign_multiple_indices_value`:
+ ignore: null
+ datasets/test2: null
+ b: null
+ ?: null
+ def `test_set_multiple_indices_example`:
+ ignore: null
+ datasets/test2: null
+ def `test_bool`:
+ iris: null
+ datasets/test3: null
+ def `test_checksum`:
+ zoo: null
+ name: null
+ non-animal: null
+ def `test_total_weight`:
+ zoo: null
+ def `test_has_missing`:
+ zoo: null
+ ?: null
+ datasets/test3: null
+ def `test_shuffle`:
+ zoo: null
+ name: null
+ def `test_copy_sparse`:
+ iris: null
+ def `test_concatenate`:
+ abc: null
+ y: null
+ ABC: null
+ m1: null
+ m2: null
+ foo: null
+ bar: null
+ baz: null
+ qux: null
+ a: null
+ c: null
+ b: null
+ d: null
+ e: null
+ f: null
+ t2: null
+ g: null
+ h: null
+ i: null
+ j: null
+ k: null
+ l: null
+ m: null
+ n: null
+ t3: null
+ def `test_concatenate_exceptions`:
+ zoo: null
+ iris: null
+ def `test_concatenate_sparse`:
+ iris: null
+ Concatenated X is not sparse.: null
+ Concatenated Y is not dense.: null
+ Concatenated metas is not dense.: null
+ def `test_pickle`:
+ zoo: null
+ iris: null
+ def `test_pickle_setstate`:
+ zoo: null
+ Orange.data.Table.__setstate__: null
+ X: null
+ _Y: null
+ metas: null
+ W: null
+ _X: null
+ Y: null
+ _metas: null
+ _W: null
+ def `test_translate_through_slice`:
+ iris: null
+ petal length: null
+ sepal length: null
+ def `test_saveTab`:
+ iris: null
+ test-save.tab: null
+ test-save.tab.metadata: null
+ a: null
+ zoo: null
+ test-zoo.tab: null
+ test-zoo: null
+ Meta attributes don't match.: null
+ Attributes don't match.: null
+ Weights don't match.: null
+ test-zoo.tab.metadata: null
+ test-zoo-weights.tab: null
+ test-zoo-weights: null
+ test-zoo-weights.tab.metadata: null
+ def `test_save_pickle`:
+ iris: null
+ iris.pickle: null
+ def `test_from_numpy`:
+ d: null
+ abcd: null
+ e: null
+ no: null
+ yes: null
+ f: null
+ def `test_filter_is_defined`:
+ iris: null
+ def `test_filter_has_class`:
+ iris: null
+ def `test_filter_random`:
+ iris: null
+ Filter returns too uneven distributions: null
+ def `test_filter_values_nested`:
+ iris: null
+ def `test_filter_string_works_for_numeric_columns`:
+ s: null
+ 5: null
+ 15: null
+ 2: null
+ rows: null
+ {} returned wrong number of rows: null
+ def `test_filter_value_continuous`:
+ iris: null
+ def `test_filter_value_continuous_args`:
+ iris: null
+ petal length: null
+ sepal length: null
+ def `test_valueFilter_discrete`:
+ zoo: null
+ mammal: null
+ martian: null
+ def `test_valueFilter_string_is_defined`:
+ datasets/test9.tab: null
+ def `test_valueFilter_discrete_meta_is_defined`:
+ datasets/test9.tab: null
+ def `test_valueFilter_string_case_sens`:
+ zoo: null
+ name: null
+ girl: null
+ lion: null
+ ea: null
+ sea: null
+ ion: null
+ def `test_valueFilter_string_case_insens`:
+ zoo: null
+ name: null
+ girl: null
+ GIrl: null
+ giRL: null
+ CHiCKEN: null
+ chicken: null
+ liOn: null
+ lion: null
+ iR: null
+ ir: null
+ GI: null
+ gi: null
+ ion: null
+ def `test_valueFilter_regex`:
+ zoo: null
+ name: null
+ ^c...$: null
+ def `test_valueFilter_stringList`:
+ zoo: null
+ name: null
+ swan: null
+ tuna: null
+ wasp: null
+ WoRm: null
+ TOad: null
+ vOLe: null
+ rows: null
+ {} returned wrong number of rows: null
+ def `test_table_dtypes`:
+ iris: null
+ def `test_attributes`:
+ iris: null
+ test: null
+ modified: null
+ def `test_is_sparse`:
+ iris: null
+ def `test_repr_sparse_with_one_row`:
+ iris: null
+ \n: null
+ '[[sepal length=5.1, sepal width=3.5, ': null
+ petal length=1.4, petal width=0.2 | Iris-setosa]]: null
+ def `test_str`:
+ iris: null
+ [5.1, 3.5, 1.4, 0.2 | Iris-setosa]: null
+ \n: null
+ [[5.1, 3.5, 1.4, 0.2 | Iris-setosa],: null
+ ' [5.9, 3.0, 5.1, 1.8 | Iris-virginica]]': null
+ def `test_str_sparse`:
+ iris: null
+ '[sepal length=5.1, sepal width=3.5, ': null
+ petal length=1.4, petal width=0.2 | Iris-setosa]: null
+ \n: null
+ [: null
+ ,: null
+ '[sepal length=5.9, sepal width=3.0, ': null
+ petal length=5.1, petal width=1.8 | Iris-virginica]: null
+ ' ': null
+ ]: null
+ class `TableTests`:
+ Feature %i: null
+ Class %i: null
+ Meta %i: null
+ class `CreateTableWithFilename`:
+ data.tab: null
+ def `test_read_data_calls_reader`:
+ os.path.exists: null
+ .xlsx: null
+ test.xlsx: null
+ def `test_raises_error_if_file_does_not_exist`:
+ os.path.exists: null
+ def `test_raises_error_if_file_has_unknown_extension`:
+ os.path.exists: null
+ file.invalid_extension: null
+ def `test_calling_new_with_string_argument_calls_read_data`:
+ Orange.data.table.Table.from_file: null
+ def `test_calling_new_with_keyword_argument_filename_calls_read_data`:
+ Orange.data.table.Table.from_file: null
+ class `CreateTableWithUrl`:
+ def `test_url_no_scheme`:
+ www.foo.bar/xx.csv: null
+ Orange.data.io.UrlReader.urlopen: null
+ http://: null
+ class `_MockUrlOpen`:
+ content-disposition: null
+ 'attachment; filename="Something-FormResponses.tsv"; ': null
+ filename*=UTF-8: null
+ Something%20%28Responses%29.tsv: null
+ def `read`:
+ '\
+a\tb\tc
+1\t2\t3
+2\t3\t4': null
+ def `test_trimmed_urls`:
+ Orange.data.io.urlopen: null
+ https://docs.google.com/spreadsheets/d/ABCD/edit: null
+ https://www.dropbox.com/s/ABCD/filename.csv: null
+ Mozilla/5.0: null
+ User-agent: null
+ Something-FormResponses: null
+ class `CreateTableWithDomain`:
+ def `test_calling_new_with_domain_calls_new_from_domain`:
+ Orange.data.table.Table.from_domain: null
+ class `CreateTableWithData`:
+ def `test_creates_a_table_from_domain_and_list`:
+ a: null
+ mf: null
+ b: null
+ y: null
+ abc: null
+ ?: null
+ m: null
+ c: null
+ def `test_creates_a_table_from_domain_and_list_and_weights`:
+ a: null
+ mf: null
+ b: null
+ y: null
+ abc: null
+ ?: null
+ m: null
+ c: null
+ def `test_creates_a_table_from_domain_and_list_and_metas`:
+ Meta 1: null
+ XYZ: null
+ Meta 2: null
+ Meta 3: null
+ a: null
+ mf: null
+ b: null
+ y: null
+ abc: null
+ X: null
+ bb: null
+ ?: null
+ Y: null
+ aa: null
+ m: null
+ Z: null
+ c: null
+ def `test_creates_a_table_from_list_of_instances`:
+ iris: null
+ def `test_creates_a_table_from_list_of_instances_with_metas`:
+ zoo: null
+ def `test_creates_a_discrete_class_if_Y_has_few_distinct_values`:
+ v1: null
+ v2: null
+ def `test_calling_new_with_domain_and_numpy_arrays_calls_new_from_numpy`:
+ Orange.data.table.Table.from_numpy: null
+ class `CreateTableWithDomainAndTable`:
+ def `test_transform`:
+ x: null
+ def `test_transform_same_domain`:
+ iris: null
+ def `test_can_filter_row_with_slice_from_table_rows`:
+ convert: null
+ def `test_can_filter_row_with_slice_from_table`:
+ Orange.data.table._FromTableConversion: null
+ def `test_from_table_with_boolean_row_filter`:
+ from_table_rows: null
+ new: null
+ def `test_from_table_sparse_move_some_to_empty_metas`:
+ iris: null
+ def `test_from_table_sparse_move_all_to_empty_metas`:
+ iris: null
+ def `test_from_table_sparse_move_to_nonempty_metas`:
+ brown-selected: null
+ def `test_from_table_partwise`:
+ sum_x: null
+ sum_y: null
+ sum_metas: null
+ def `long_table`:
+ abcdef: null
+ def `test_from_table_shared_compute_value`:
+ iris: null
+ def `test_attributes_copied`:
+ A: null
+ Test: null
+ B: null
+ Changed: null
+ class `InterfaceTest`:
+ Continuous Feature 1: null
+ Continuous Feature 2: null
+ Discrete Feature 1: null
+ 0: null
+ 1: null
+ Discrete Feature 2: null
+ value1: null
+ value2: null
+ Continuous Class: null
+ Discrete Class: null
+ m: null
+ f: null
+ class `TestRowInstance`:
+ def `test_assignment`:
+ zoo: null
+ mammal: null
+ fish: null
+ Foo: null
+ def `test_iteration_with_assignment`:
+ iris: null
+ class `TestTableTranspose`:
+ def `test_transpose_no_class`:
+ c1: null
+ c2: null
+ Feature 1: null
+ Feature 2: null
+ Feature 3: null
+ Feature 4: null
+ Feature name: Ime spremenljivke
+ def `test_transpose_discrete_class`:
+ c1: null
+ c2: null
+ cls: null
+ a: null
+ b: null
+ Feature 1: null
+ Feature 2: null
+ Feature 3: null
+ Feature 4: null
+ Feature name: Ime spremenljivke
+ def `test_transpose_continuous_class`:
+ c1: null
+ c2: null
+ cls: null
+ Feature 1: null
+ Feature 2: null
+ Feature 3: null
+ Feature 4: null
+ 4: null
+ 3: null
+ 2: null
+ 1: null
+ Feature name: Ime spremenljivke
+ def `test_transpose_missing_class`:
+ c1: null
+ c2: null
+ cls: null
+ Feature 1: null
+ Feature 2: null
+ Feature 3: null
+ Feature 4: null
+ 3: null
+ 2: null
+ 1: null
+ Feature name: Ime spremenljivke
+ def `test_transpose_multiple_class`:
+ c1: null
+ c2: null
+ cls1: null
+ cls2: null
+ Feature 1: null
+ Feature 2: null
+ Feature 3: null
+ Feature 4: null
+ 0: null
+ 1: null
+ 2: null
+ 3: null
+ 4: null
+ 5: null
+ 6: null
+ 7: null
+ Feature name: Ime spremenljivke
+ def `test_transpose_metas`:
+ c1: null
+ c2: null
+ m1: null
+ aa: null
+ bb: null
+ cc: null
+ dd: null
+ Feature 1: null
+ Feature 2: null
+ Feature 3: null
+ Feature 4: null
+ Feature name: Ime spremenljivke
+ def `test_transpose_discrete_metas`:
+ c1: null
+ c2: null
+ m1: null
+ aa: null
+ bb: null
+ Feature 1: null
+ Feature 2: null
+ Feature 3: null
+ Feature 4: null
+ Feature name: Ime spremenljivke
+ def `test_transpose_continuous_metas`:
+ c1: null
+ c2: null
+ m1: null
+ Feature 1: null
+ Feature 2: null
+ Feature 3: null
+ Feature 4: null
+ 0: null
+ 1: null
+ Feature name: Ime spremenljivke
+ def `test_transpose_missing_metas`:
+ c1: null
+ c2: null
+ m1: null
+ aa: null
+ bb: null
+ dd: null
+ Feature 1: null
+ Feature 2: null
+ Feature 3: null
+ Feature 4: null
+ Feature name: Ime spremenljivke
+ def `test_transpose_multiple_metas`:
+ c1: null
+ c2: null
+ m1: null
+ m2: null
+ aa: null
+ aaa: null
+ bb: null
+ bbb: null
+ cc: null
+ ccc: null
+ dd: null
+ ddd: null
+ Feature 1: null
+ Feature 2: null
+ Feature 3: null
+ Feature 4: null
+ Feature name: Ime spremenljivke
+ def `test_transpose_class_and_metas`:
+ c1: null
+ c2: null
+ m1: null
+ m2: null
+ cls: null
+ aa: null
+ aaa: null
+ bb: null
+ bbb: null
+ cc: null
+ ccc: null
+ dd: null
+ ddd: null
+ Feature 1: null
+ Feature 2: null
+ Feature 3: null
+ Feature 4: null
+ 1: null
+ 2: null
+ 3: null
+ 4: null
+ Feature name: Ime spremenljivke
+ def `test_transpose_attributes_of_attributes_discrete`:
+ c1: null
+ c2: null
+ attr1: null
+ a: null
+ attr2: null
+ aa: null
+ b: null
+ bb: null
+ Feature 1: null
+ Feature 2: null
+ Feature 3: null
+ Feature 4: null
+ Feature name: Ime spremenljivke
+ def `test_transpose_attributes_of_attributes_continuous`:
+ c1: null
+ c2: null
+ attr1: null
+ 1.1: null
+ attr2: null
+ 1.3: null
+ 2.2: null
+ 2.3: null
+ Feature 1: null
+ Feature 2: null
+ Feature 3: null
+ Feature 4: null
+ Feature name: Ime spremenljivke
+ def `test_transpose_attributes_of_attributes_missings`:
+ c1: null
+ c2: null
+ attr1: null
+ a: null
+ attr2: null
+ aa: null
+ b: null
+ Feature 1: null
+ Feature 2: null
+ Feature 3: null
+ Feature 4: null
+ Feature name: Ime spremenljivke
+ def `test_transpose_class_metas_attributes`:
+ c1: null
+ c2: null
+ attr1: null
+ a1: null
+ attr2: null
+ aa1: null
+ b1: null
+ bb1: null
+ m1: null
+ m2: null
+ cls: null
+ aa: null
+ aaa: null
+ bb: null
+ bbb: null
+ cc: null
+ ccc: null
+ dd: null
+ ddd: null
+ Feature 1: null
+ Feature 2: null
+ Feature 3: null
+ Feature 4: null
+ 1: null
+ 2: null
+ 3: null
+ 4: null
+ Feature name: Ime spremenljivke
+ def `test_transpose_duplicate_feature_names`:
+ iris: null
+ def `test_transpose`:
+ zoo: null
+ Feature name: Ime spremenljivke
+ def `test_transpose_callback`:
+ zoo: null
+ def `test_transpose_no_class_remove_inst`:
+ c1: null
+ c2: null
+ 1: null
+ 3: null
+ 5: null
+ 7: null
+ Feature name: Ime spremenljivke
+ def `test_transpose_discrete_class_remove_inst`:
+ c1: null
+ c2: null
+ cls: null
+ a: null
+ b: null
+ 1: null
+ 3: null
+ 5: null
+ 7: null
+ Feature name: Ime spremenljivke
+ def `test_transpose_continuous_class_remove_inst`:
+ c1: null
+ c2: null
+ cls: null
+ 1: null
+ 3: null
+ 5: null
+ 7: null
+ 4: null
+ 2: null
+ Feature name: Ime spremenljivke
+ def `test_transpose_missing_class_remove_inst`:
+ c1: null
+ c2: null
+ cls: null
+ 1: null
+ 3: null
+ 5: null
+ 7: null
+ 2: null
+ Feature name: Ime spremenljivke
+ def `test_transpose_multiple_class_remove_inst`:
+ c1: null
+ c2: null
+ cls1: null
+ cls2: null
+ 1: null
+ 3: null
+ 5: null
+ 7: null
+ 0: null
+ 2: null
+ 4: null
+ 6: null
+ Feature name: Ime spremenljivke
+ def `test_transpose_metas_remove_inst`:
+ c1: null
+ c2: null
+ m1: null
+ aa: null
+ bb: null
+ cc: null
+ dd: null
+ 1: null
+ 3: null
+ 5: null
+ 7: null
+ Feature name: Ime spremenljivke
+ def `test_transpose_discrete_metas_remove_inst`:
+ c1: null
+ c2: null
+ m1: null
+ aa: null
+ bb: null
+ 1: null
+ 3: null
+ 5: null
+ 7: null
+ Feature name: Ime spremenljivke
+ def `test_transpose_continuous_metas_remove_inst`:
+ c1: null
+ c2: null
+ m1: null
+ 1: null
+ 3: null
+ 5: null
+ 7: null
+ 0: null
+ Feature name: Ime spremenljivke
+ def `test_transpose_missing_metas_remove_inst`:
+ c1: null
+ c2: null
+ m1: null
+ aa: null
+ bb: null
+ dd: null
+ 1: null
+ 3: null
+ 5: null
+ 7: null
+ Feature name: Ime spremenljivke
+ def `test_transpose_multiple_metas_remove_inst`:
+ c1: null
+ c2: null
+ m1: null
+ m2: null
+ aa: null
+ aaa: null
+ bb: null
+ bbb: null
+ cc: null
+ ccc: null
+ dd: null
+ ddd: null
+ 1: null
+ 3: null
+ 5: null
+ 7: null
+ Feature name: Ime spremenljivke
+ def `test_transpose_class_and_metas_remove_inst`:
+ c1: null
+ c2: null
+ m1: null
+ m2: null
+ cls: null
+ aa: null
+ aaa: null
+ bb: null
+ bbb: null
+ cc: null
+ ccc: null
+ dd: null
+ ddd: null
+ 1: null
+ 3: null
+ 5: null
+ 7: null
+ 2: null
+ 4: null
+ Feature name: Ime spremenljivke
+ def `test_transpose_attributes_of_attributes_discrete_remove_inst`:
+ c1: null
+ c2: null
+ attr1: null
+ a: null
+ attr2: null
+ aa: null
+ b: null
+ bb: null
+ 1: null
+ 3: null
+ 5: null
+ 7: null
+ Feature name: Ime spremenljivke
+ def `test_transpose_attributes_of_attributes_continuous_remove_inst`:
+ c1: null
+ c2: null
+ attr1: null
+ 1.1: null
+ attr2: null
+ 1.3: null
+ 2.2: null
+ 2.3: null
+ 1: null
+ 3: null
+ 5: null
+ 7: null
+ Feature name: Ime spremenljivke
+ def `test_transpose_attributes_of_attributes_missings_remove_inst`:
+ c1: null
+ c2: null
+ attr1: null
+ a: null
+ attr2: null
+ aa: null
+ b: null
+ 0: null
+ 2: null
+ 4: null
+ 6: null
+ Feature name: Ime spremenljivke
+ def `test_transpose_class_metas_attributes_remove_inst`:
+ c1: null
+ c2: null
+ attr1: null
+ a1: null
+ attr2: null
+ aa1: null
+ b1: null
+ bb1: null
+ m1: null
+ m2: null
+ cls: null
+ aa: null
+ aaa: null
+ bb: null
+ bbb: null
+ cc: null
+ ccc: null
+ dd: null
+ ddd: null
+ 1: null
+ 3: null
+ 5: null
+ 7: null
+ 2: null
+ 4: null
+ Feature name: Ime spremenljivke
+ def `test_transpose_name`:
+ iris: null
+ class `TestTableSparseDense`:
+ def `setUp`:
+ iris: null
+ def `test_sparse_dense_transformation`:
+ iris: null
+ def `test_from_table_add_one_sparse_column`:
+ S1: null
+ def `test_from_table_add_lots_of_sparse_columns`:
+ S: null
+ def `test_from_table_replace_attrs_with_sparse`:
+ S1: null
+ def `test_from_table_sparse_metas`:
+ S1: null
+ def `test_from_table_sparse_metas_with_strings`:
+ text: null
+ S: null
+ class `ConcurrencyTests`:
+ def `test_from_table_non_blocking`:
+ iris: null
+ a: null
+ class `EfficientTransformTests`:
+ def `setUp`:
+ iris: null
+ __main__: null
+tests/test_third_party.py:
+ class `TestPkgResources`:
+ def `test_parse_version`:
+ 3.4.1: null
+ 3.4.0: null
+ 3.4.dev: null
+ 3.4.1.dev: null
+ 3.4.2.dev: null
+tests/test_transformation.py:
+ class `TestTransformation`:
+ def `setUpClass`:
+ zoo: null
+ def `test_pickling_target_domain`:
+ _target_domain: null
+ class `IdentityTest`:
+ def `test_identity`:
+ X: null
+ C: null
+ 0: null
+ 1: null
+ 2: null
+ S: null
+ A: null
+ B: null
+ D: null
+ def `test_eq_and_hash`:
+ x: null
+ y: null
+tests/test_tree.py:
+ class `TestSklTreeLearner`:
+ def `test_classification`:
+ iris: null
+ def `test_regression`:
+ housing: null
+ class `TestTreeLearner`:
+ def `test_uses_preprocessors`:
+ iris: null
+ class `TestDecisionTreeClassifier`:
+ def `setUpClass`:
+ iris: null
+ def `test_criterion`:
+ entropy: null
+ def `test_splitter`:
+ random: null
+tests/test_txt_reader.py:
+ '\
+Feature 1\tFeature 2\tFeature 3
+1.0 \t1.3 \t5
+2.0 \t42 \t7
+': null
+ '\
+Feature 1, Feature 2,Feature 3
+1.0, 1.3, 5
+2.0, 42, 7
+': null
+ '\
+1.0 \t1.3 \t5
+2.0 \t42 \t7
+': null
+ '\
+1.0, 1.3, 5
+2.0, 42, 7
+': null
+ '\
+a,b
+d,c
+,
+e,1
+f,g
+': null
+ '\
+A,B
+1,A
+2,B
+3,A
+?,B
+5,?
+': null
+ class `TestTabReader`:
+ def `read_easy`:
+ wt: null
+ 1: null
+ 2: null
+ 3: null
+ def `test_read_tab`:
+ 'Feature ': null
+ def `test_read_csv`:
+ 'Feature ': null
+ def `test_read_nonutf8_encoding`:
+ datasets/binary-blob.tab: null
+ NUL: null
+ error: null
+ datasets/invalid_characters.tab: null
+ def `test_noncontinous_marked_continuous`:
+ wt: null
+ line 5, column 2: null
+ def `test_pr1734`:
+ foo: null
+ wt: null
+ '\
+foo
+time
+
+123123123
+': null
+ def `test_csv_sniffer`:
+ datasets/test_asn_data_working.csv: null
+tests/test_url_reader.py:
+ class `TestUrlReader`:
+ def `test_basic_file`:
+ https://datasets.biolab.si/core/titanic.tab: null
+ https://datasets.biolab.si/core/grades.xlsx: null
+ def `test_zipped`:
+ http://datasets.biolab.si/core/philadelphia-crime.csv.xz: null
+ def `test_special_characters`:
+ http://file.biolab.si/text-semantics/data/elektrotehniski-: null
+ vestnik-clanki/detektiranje-utrdb-v-šahu-.txt: null
+ def `test_base_url_with_query`:
+ https://datasets.biolab.si/core/grades.xlsx?a=1&b=2: null
+ def `test_url_with_fragment`:
+ https://datasets.biolab.si/core/grades.xlsx#tab=1: null
+ def `test_special_characters_with_query_and_fragment`:
+ http://file.biolab.si/text-semantics/data/elektrotehniski-: null
+ vestnik-clanki/detektiranje-utrdb-v-šahu-.txt?a=1&b=2#c=3: null
+ __main__: null
+tests/test_util.py:
+ class `TestUtil`:
+ def `test_get_entry_point`:
+ Orange3: null
+ gui_scripts: null
+ orange-canvas: null
+ def `test_export_globals`:
+ SOMETHING: null
+ TestUtil: null
+ def `test_deprecated`:
+ deprecated: null
+ identity: null
+ def `test_reprable`:
+ x: null
+ \n: null
+ ' ': null
+ ReplaceUnknownsRandom(: null
+ variable=ContinuousVariable(name='x',number_of_decimals=3),: null
+ distribution=Continuous([[0.],[0.]])): null
+ LogisticRegressionLearner(): null
+ def `test_deepgetattr`:
+ l.__len__.__call__: null
+ l.__nx__.__x__: null
+ def `test_nan_eq`:
+ nan: null
+ inf: null
+ def `test_nan_hash_stand`:
+ nan: null
+ def `test_vstack`:
+ dense: null
+ sparse: null
+ def `test_hstack`:
+ dense: null
+ sparse: null
+ def `assertCorrectArrayType`:
+ dense: null
+ sparse: null
+ def `test_raise_deprecations`:
+ ORANGE_DEPRECATIONS_ERROR: null
+ ORANGE_DEPRECATIONS_ERROR not set: null
+ foo: null
+ def `test_stats_sparse`:
+ iris: null
+ def `test_csc_array_equal`:
+ ignore: null
+ .*: null
+ __main__: null
+tests/test_value.py:
+ class `TestValue`:
+ def `test_pickling_discrete_values`:
+ iris: null
+ def `test_pickling_string_values`:
+ zoo: null
+ name: null
+ def `test_compare_continuous`:
+ housing: null
+ MEDV: null
+ def `test_compare_discrete`:
+ G: null
+ M: null
+ F: null
+ def `test_compare_string`:
+ zoo: null
+ name: null
+ aardvark: null
+ def `test_hash`:
+ var: null
+ test: null
+ red: null
+ green: null
+ blue: null
+ def `test_as_values`:
+ x: null
+ s: null
+ a: null
+ b: null
+tests/test_xlsx_reader.py:
+ def `get_dataset`:
+ xlsx_files: null
+ def `get_xlsx_reader`:
+ .xlsx: null
+ def `get_xls_reader`:
+ .xls: null
+ class `TestExcelReader`:
+ def `test_read_round_floats`:
+ round_floats: null
+ 1: null
+ 2: null
+ def `test_write_file`:
+ .xlsx: null
+ zoo: null
+ class `TestExcelHeader0`:
+ def `test_read`:
+ header_0: null
+ Feature {}: null
+ class `TextExcelSheets`:
+ def `test_sheets`:
+ header_0_sheet: null
+ Sheet1: null
+ my_sheet: null
+ Sheet3: null
+ def `test_named_sheet`:
+ header_0_sheet: null
+ my_sheet: null
+ header_0_sheet-my_sheet: null
+ def `test_named_sheet_table_xlsx`:
+ header_0_sheet.xlsx: null
+ my_sheet: null
+ header_0_sheet-my_sheet: null
+ def `test_named_sheet_table_xls`:
+ header_0_sheet.xls: null
+ my_sheet: null
+ header_0_sheet-my_sheet: null
+ class `TestExcelHeader1`:
+ def `test_no_flags`:
+ header_1_no_flags: null
+ green: null
+ red: null
+ def `test_flags`:
+ header_1_flags: null
+ d: null
+ b: null
+ acf: null
+ green: null
+ red: null
+ class `TestExcelHeader3`:
+ def `test_read`:
+ header_3: null
+ d: null
+ g: null
+ nan: null
+ b: null
+ acf: null
+ green: null
+ red: null
+ abcdefghijklmnopqrstuvw: null
+ class `TestMissingValues`:
+ def `test_read_errors`:
+ missing: null
+ C: null
+ __main__: null
+tests/sql/test_filter.py:
+ class `TestIsDefinedSql`:
+ def `setUpDB`:
+ m: null
+ f: null
+ def `test_on_all_columns`:
+ postgres: null
+ mssql: null
+ def `test_selected_columns`:
+ postgres: null
+ mssql: null
+ def `test_all_columns_negated`:
+ postgres: null
+ def `test_selected_columns_negated`:
+ postgres: null
+ mssql: null
+ def `test_can_inherit_is_defined_filter`:
+ postgres: null
+ class `TestHasClass`:
+ def `setUpDB`:
+ m: null
+ f: null
+ def `test_has_class`:
+ postgres: null
+ mssql: null
+ def `test_negated`:
+ postgres: null
+ mssql: null
+ class `TestSameValueSql`:
+ def `setUpDB`:
+ a: null
+ m: null
+ f: null
+ b: null
+ def `test_on_continuous_attribute`:
+ postgres: null
+ mssql: null
+ def `test_on_continuous_attribute_with_unknowns`:
+ postgres: null
+ mssql: null
+ def `test_on_continuous_attribute_with_unknown_value`:
+ postgres: null
+ mssql: null
+ def `test_on_continuous_attribute_negated`:
+ postgres: null
+ def `test_on_discrete_attribute`:
+ postgres: null
+ mssql: null
+ a: null
+ def `test_on_discrete_attribute_with_unknown_value`:
+ postgres: null
+ mssql: null
+ def `test_on_discrete_attribute_with_unknowns`:
+ postgres: null
+ mssql: null
+ m: null
+ def `test_on_discrete_attribute_negated`:
+ postgres: null
+ mssql: null
+ a: null
+ def `test_on_discrete_attribute_value_passed_as_int`:
+ postgres: null
+ mssql: null
+ def `test_on_discrete_attribute_value_passed_as_float`:
+ postgres: null
+ mssql: null
+ class `TestValuesSql`:
+ def `setUpDB`:
+ a: null
+ m: null
+ f: null
+ b: null
+ def `test_values_filter_with_no_conditions`:
+ postgres: null
+ mssql: null
+ def `test_discrete_value_filter`:
+ postgres: null
+ mssql: null
+ a: null
+ def `test_discrete_value_filter_with_multiple_values`:
+ postgres: null
+ a: null
+ b: null
+ def `test_discrete_value_filter_with_None`:
+ postgres: null
+ def `test_continuous_value_filter_equal`:
+ postgres: null
+ mssql: null
+ def `test_continuous_value_filter_not_equal`:
+ postgres: null
+ def `test_continuous_value_filter_less`:
+ postgres: null
+ mssql: null
+ def `test_continuous_value_filter_less_equal`:
+ postgres: null
+ def `test_continuous_value_filter_greater`:
+ postgres: null
+ def `test_continuous_value_filter_greater_equal`:
+ postgres: null
+ def `test_continuous_value_filter_between`:
+ postgres: null
+ def `test_continuous_value_filter_outside`:
+ postgres: null
+ mssql: null
+ def `test_continuous_value_filter_isdefined`:
+ postgres: null
+ class `TestFilterStringSql`:
+ def `setUpDB`:
+ Lorem ipsum dolor sit amet, consectetur adipiscing: null
+ elit. Vestibulum vel dolor nulla. Etiam elit lectus, mollis nec: null
+ mattis sed, pellentesque in turpis. Vivamus non nisi dolor. Etiam: null
+ lacinia dictum purus, in ullamcorper ante vulputate sed. Nullam: null
+ congue blandit elementum. Donec blandit laoreet posuere. Proin: null
+ quis augue eget tortor posuere mollis. Fusce vestibulum bibendum: null
+ neque at convallis. Donec iaculis risus volutpat malesuada: null
+ vehicula. Ut cursus tempor massa vulputate lacinia. Pellentesque: null
+ eu tortor sed diam placerat porttitor et volutpat risus. In: null
+ vulputate rutrum lacus ac sagittis. Suspendisse interdum luctus: null
+ sem auctor commodo.: null
+ ' ': null
+ def `test_filter_string_is_defined`:
+ postgres: null
+ def `test_filter_string_equal`:
+ postgres: null
+ mssql: null
+ in: null
+ def `test_filter_string_equal_case_insensitive_value`:
+ postgres: null
+ In: null
+ in: null
+ def `test_filter_string_equal_case_insensitive_data`:
+ postgres: null
+ donec: null
+ Donec: null
+ def `test_filter_string_not_equal`:
+ postgres: null
+ in: null
+ def `test_filter_string_not_equal_case_insensitive_value`:
+ postgres: null
+ In: null
+ in: null
+ def `test_filter_string_not_equal_case_insensitive_data`:
+ postgres: null
+ donec: null
+ Donec: null
+ def `test_filter_string_less`:
+ postgres: null
+ mssql: null
+ A: null
+ def `test_filter_string_less_case_insensitive_value`:
+ postgres: null
+ In: null
+ in: null
+ def `test_filter_string_less_case_insensitive_data`:
+ postgres: null
+ donec: null
+ def `test_filter_string_less_equal`:
+ postgres: null
+ mssql: null
+ A: null
+ def `test_filter_string_less_equal_case_insensitive_value`:
+ postgres: null
+ In: null
+ in: null
+ def `test_filter_string_less_equal_case_insensitive_data`:
+ postgres: null
+ donec: null
+ def `test_filter_string_greater`:
+ postgres: null
+ mssql: null
+ volutpat: null
+ def `test_filter_string_greater_case_insensitive_value`:
+ postgres: null
+ In: null
+ in: null
+ def `test_filter_string_greater_case_insensitive_data`:
+ postgres: null
+ donec: null
+ def `test_filter_string_greater_equal`:
+ postgres: null
+ volutpat: null
+ def `test_filter_string_greater_equal_case_insensitive_value`:
+ postgres: null
+ In: null
+ in: null
+ def `test_filter_string_greater_equal_case_insensitive_data`:
+ postgres: null
+ donec: null
+ def `test_filter_string_between`:
+ postgres: null
+ a: null
+ c: null
+ def `test_filter_string_between_case_insensitive_value`:
+ postgres: null
+ I: null
+ O: null
+ i: null
+ o: null
+ def `test_filter_string_between_case_insensitive_data`:
+ postgres: null
+ i: null
+ O: null
+ o: null
+ def `test_filter_string_contains`:
+ postgres: null
+ et: null
+ def `test_filter_string_contains_case_insensitive_value`:
+ postgres: null
+ eT: null
+ et: null
+ def `test_filter_string_contains_case_insensitive_data`:
+ postgres: null
+ do: null
+ def `test_filter_string_outside`:
+ postgres: null
+ am: null
+ di: null
+ def `test_filter_string_outside_case_insensitive`:
+ postgres: null
+ d: null
+ k: null
+ def `test_filter_string_starts_with`:
+ postgres: null
+ D: null
+ def `test_filter_string_starts_with_case_insensitive`:
+ postgres: null
+ D: null
+ d: null
+ def `test_filter_string_ends_with`:
+ postgres: null
+ s: null
+ def `test_filter_string_ends_with_case_insensitive`:
+ postgres: null
+ S: null
+ s: null
+ def `test_filter_string_list`:
+ postgres: null
+ et: null
+ in: null
+ def `test_filter_string_list_case_insensitive_value`:
+ postgres: null
+ Et: null
+ In: null
+ et: null
+ in: null
+ def `test_filter_string_list_case_insensitive_data`:
+ postgres: null
+ mssql: null
+ donec: null
+ Donec: null
+ __main__: null
+tests/sql/test_misc.py:
+ class `MiscSqlTests`:
+ def `test_discretization`:
+ postgres: null
+ sepal length: null
+ def `test_get_conditional_distribution`:
+ postgres: null
+ Cannot import widgets: null
+ sepal length: null
+ def `test_create_sql_contingency`:
+ postgres: null
+ Cannot import widgets: null
+tests/sql/test_naive_bayes_sql.py:
+ class `NaiveBayesTest`:
+ def `test_NaiveBayes`:
+ postgres: null
+ Iris-setosa: null
+ Iris-virginica: null
+ Iris-versicolor: null
+ iris: null
+tests/sql/test_sql_table.py:
+ class `TestSqlTable`:
+ def `discrete_variable`:
+ mf: null
+ def `test_constructs_correct_attributes`:
+ postgres: null
+ col0: null
+ '"col0"': null
+ col1: null
+ '"col1"': null
+ f: null
+ m: null
+ col2: null
+ '"col2"': null
+ def `test_make_attributes`:
+ postgres: null
+ def `test_len`:
+ postgres: null
+ mssql: null
+ def `test_bool`:
+ postgres: null
+ mssql: null
+ def `test_len_with_filter`:
+ postgres: null
+ mssql: null
+ m: null
+ x: null
+ def `test_XY_small`:
+ postgres: null
+ mssql: null
+ col2: null
+ 0: null
+ 1: null
+ 2: null
+ def `test_XY_large`:
+ postgres: null
+ mssql: null
+ Orange.data.sql.table.AUTO_DL_LIMIT: null
+ col2: null
+ 0: null
+ 1: null
+ 2: null
+ def `test_download_data`:
+ postgres: null
+ mssql: null
+ X: null
+ Y: null
+ metas: null
+ W: null
+ ids: null
+ col2: null
+ 0: null
+ 1: null
+ 2: null
+ def `test_query_all`:
+ postgres: null
+ mssql: null
+ def `test_unavailable_row`:
+ postgres: null
+ mssql: null
+ def `test_query_subset_of_attributes`:
+ postgres: null
+ mssql: null
+ sepal length: null
+ sepal width: null
+ double width: null
+ 2 * "sepal width": null
+ def `test_query_subset_of_rows`:
+ postgres: null
+ def `test_getitem_single_value`:
+ postgres: null
+ mssql: null
+ Iris-setosa: null
+ def `test_type_hints`:
+ postgres: null
+ mssql: null
+ iris: null
+ def `test_joins`:
+ postgres: null
+ "SELECT a.""sepal length"",
+ b. ""petal length"",
+ CASE WHEN b.""petal length"" < 3 THEN '<'
+ ELSE '>'
+ END AS ""qualitative petal length""
+ FROM iris a
+ INNER JOIN iris b ON a.""sepal width"" = b.""sepal width""
+ WHERE a.""petal width"" < 1
+ ORDER BY a.""sepal length"", b. ""petal length"" ASC": null
+ qualitative petal length: null
+ <: null
+ >: null
+ def `_mock_attribute`:
+ '"%s"': null
+ def `test_universal_table`:
+ postgres: null
+ '
+ SELECT
+ v1.col2 as v1,
+ v2.col2 as v2,
+ v3.col2 as v3,
+ v4.col2 as v4,
+ v5.col2 as v5
+ FROM %(table_name)s v1
+ INNER JOIN %(table_name)s v2 ON v2.col0 = v1.col0 AND v2.col1 = 2
+ INNER JOIN %(table_name)s v3 ON v3.col0 = v2.col0 AND v3.col1 = 3
+ INNER JOIN %(table_name)s v4 ON v4.col0 = v1.col0 AND v4.col1 = 4
+ INNER JOIN %(table_name)s v5 ON v5.col0 = v1.col0 AND v5.col1 = 5
+ WHERE v1.col1 = 1
+ ORDER BY v1.col0
+ ': null
+ '"%s"': null
+ iris: null
+ Iris-setosa: null
+ Iris-virginica: null
+ Iris-versicolor: null
+ def `test_class_var_type_hints`:
+ postgres: null
+ mssql: null
+ iris: null
+ def `test_meta_type_hints`:
+ postgres: null
+ mssql: null
+ iris: null
+ def `test_metas_type_hints`:
+ postgres: null
+ mssql: null
+ iris: null
+ def `test_select_all`:
+ postgres: null
+ mssql: null
+ SELECT * FROM iris: null
+ def `test_discrete_bigint`:
+ postgres: null
+ bigint: null
+ def `test_continous_bigint`:
+ postgres: null
+ mssql: null
+ bigint: null
+ def `test_discrete_int`:
+ postgres: null
+ int: null
+ def `test_continous_int`:
+ postgres: null
+ mssql: null
+ int: null
+ def `test_discrete_smallint`:
+ postgres: null
+ smallint: null
+ def `test_continous_smallint`:
+ postgres: null
+ mssql: null
+ smallint: null
+ def `test_boolean`:
+ postgres: null
+ F: null
+ T: null
+ False: null
+ True: null
+ boolean: null
+ def `test_discrete_char`:
+ postgres: null
+ mssql: null
+ M: null
+ F: null
+ char(1): null
+ def `test_discrete_bigger_char`:
+ postgres: null
+ M: null
+ F: null
+ char(10): null
+ def `test_meta_char`:
+ postgres: null
+ mssql: null
+ ABCDEFGHIJKLMNOPQRSTUVW: null
+ char(1): null
+ def `test_discrete_varchar`:
+ postgres: null
+ mssql: null
+ M: null
+ F: null
+ varchar(1): null
+ def `test_meta_varchar`:
+ postgres: null
+ mssql: null
+ ABCDEFGHIJKLMNOPQRSTUVW: null
+ varchar(1): null
+ def `test_time_date`:
+ postgres: null
+ 2014-04-12: null
+ 2014-04-13: null
+ 2014-04-14: null
+ 2014-04-15: null
+ 2014-04-16: null
+ date: null
+ def `test_time_time`:
+ postgres: null
+ 17:39:51: null
+ 11:51:48.46: null
+ 05:20:21.492149: null
+ 21:47:06: null
+ 04:47:35.8: null
+ time: null
+ def `test_time_timetz`:
+ postgres: null
+ 17:39:51+0200: null
+ 11:51:48.46+01: null
+ 05:20:21.4921: null
+ 21:47:06-0600: null
+ 04:47:35.8+0330: null
+ timetz: null
+ def `test_time_timestamp`:
+ postgres: null
+ 2014-07-15 17:39:51.348149: null
+ 2008-10-05 11:51:48.468149: null
+ 2008-11-03 05:20:21.492149: null
+ 2015-01-02 21:47:06.228149: null
+ 2016-04-16 04:47:35.892149: null
+ timestamp: null
+ def `test_time_timestamptz`:
+ postgres: null
+ 2014-07-15 17:39:51.348149+0200: null
+ 2008-10-05 11:51:48.468149+02: null
+ 2008-11-03 05:20:21.492149+01: null
+ 2015-01-02 21:47:06.228149+0100: null
+ 2016-04-16 04:47:35.892149+0330: null
+ timestamptz: null
+ def `test_double_precision`:
+ postgres: null
+ mssql: null
+ double precision: null
+ def `test_numeric`:
+ postgres: null
+ mssql: null
+ numeric(15, 2): null
+ def `test_real`:
+ postgres: null
+ mssql: null
+ real: null
+ def `test_serial`:
+ postgres: null
+ serial: null
+ def `test_smallserial`:
+ postgres>90200: null
+ smallserial: null
+ def `test_bigserial`:
+ postgres>90200: null
+ bigserial: null
+ def `test_text`:
+ postgres: null
+ ABCDEFGHIJKLMNOPQRSTUVW: null
+ text: null
+ def `test_other`:
+ postgres: null
+ bcd4d9c0-361e-bad4-7ceb-0d171cdec981: null
+ 544b7ddc-d861-0201-81c8-9f7ad0bbf531: null
+ b35a10f7-7901-f313-ec16-5ad9778040a6: null
+ b267c4be-4a26-60b5-e664-737a90a40e93: null
+ uuid: null
+ foo: null
+ def `test_recovers_connection_after_sql_error`:
+ postgres: null
+ mssql: null
+ SELECT 1/%s FROM %s: null
+ SELECT %s FROM %s: null
+ def `test_basic_stats`:
+ postgres: null
+ sepal length: null
+ def `test_basic_stats_on_large_data`:
+ postgres: null
+ Orange.data.sql.table.LARGE_TABLE: null
+ sepal length: null
+ def `test_distributions`:
+ postgres: null
+ mssql: null
+ def `test_contingencies`:
+ postgres: null
+ sepal width: null
+ iris: null
+ def `test_pickling_restores_connection_pool`:
+ postgres: null
+ def `test_list_tables_with_schema`:
+ postgres: null
+ DROP SCHEMA IF EXISTS orange_tests CASCADE: null
+ CREATE SCHEMA orange_tests: null
+ CREATE TABLE orange_tests.efgh (id int): null
+ INSERT INTO orange_tests.efgh (id) VALUES (1): null
+ INSERT INTO orange_tests.efgh (id) VALUES (2): null
+ orange_tests: null
+ efgh: null
+ def `test_nan_frequency`:
+ postgres: null
+ mssql: null
+ __main__: null
+widgets/data/tests/test_owaggregatecolumns.py:
+ class `TestOWAggregateColumn`:
+ def `setUp`:
+ c1 c2 c3: null
+ t1 t2: null
+ a: null
+ b: null
+ c: null
+ d1 d2 d3: null
+ s1: null
+ foo: null
+ bar: null
+ c4: null
+ def `test_no_input`:
+ c1 c2 t2: null
+ def `test_compute_data`:
+ c1 c2 t2: null
+ Sum: Vsota
+ Max: null
+ def `test_var_name`:
+ test: null
+ d1: null
+ def `test_var_types`:
+ t1 c2 t2: null
+ t1 t2: null
+ Min: null
+ Max: null
+ Mean: null
+ Median: null
+ def `test_operations`:
+ c1 c2 t2: null
+ Sum: Vsota
+ Product: Produkt
+ Min: null
+ Max: null
+ Mean: null
+ Variance: Varianca
+ Median: Mediana
+ error in '{self.widget.operation}': null
+ def `test_operations_with_nan`:
+ c1 c2 t2: null
+ Sum: Vsota
+ Product: Produkt
+ Min: null
+ Max: null
+ Mean: null
+ Variance: Varianca
+ Median: Mediana
+ error in '{self.widget.operation}': null
+ def `test_contexts`:
+ c1 c2 t2: null
+ def `test_features_signal`:
+ c1 c2 t1: null
+ c1 t2: null
+ agg: null
+ c1 t2 d1: null
+ foo: null
+ d1 d2: null
+ def `test_selection_radios`:
+ c1 t2: null
+ agg: null
+ def `test_operation_changed`:
+ agg: null
+ Max: null
+ def `test_and_others`:
+ "'c1'": null
+ "'c1', 'c2', 'd1', 'd2', 't1' and 'd3'": "'c1', 'c2', 'd1', 'd2', 't1' in 'd3'"
+ "'c1', 'c2', 'd1', 'd2', 't1' and 1 more": "'c1', 'c2', 'd1', 'd2', 't1' in še 1 druga"
+ "'c1', 'c2' and 4 more": "'c1', 'c2' in še 4 druge"
+ def `test_missing`:
+ "'{attrs[0].name}'": null
+ "'{attrs[0].name}' and '{attrs[1].name}'": "'{attrs[0].name}' in '{attrs[1].name}'"
+ def `test_report`:
+ c1 c2 t2: null
+ c{i:02}: null
+ __main__: null
+widgets/data/tests/test_owcolor.py:
+ class `AttrDescTest`:
+ def `test_name`:
+ x: null
+ y: null
+ def `test_no_compute_value`:
+ x: null
+ def `test_reset`:
+ x: null
+ y: null
+ def `test_to_dict`:
+ x: null
+ y: null
+ rename: null
+ foo: null
+ class `DiscAttrTest`:
+ def `setUp`:
+ x: null
+ a: null
+ b: null
+ c: null
+ def `test_values`:
+ a: null
+ b: null
+ c: null
+ d: null
+ def `test_create_variable`:
+ z: null
+ d: null
+ a: null
+ c: null
+ palette: null
+ def `test_reset`:
+ d: null
+ def `test_to_dict`:
+ y: null
+ rename: null
+ b2: null
+ renamed_values: null
+ b: null
+ colors: null
+ a: null
+ '#010203': null
+ c: null
+ '#020304': null
+ d: null
+ x: null
+ '#123456': null
+ def `test_from_dict_coliding_values`:
+ renamed_values: null
+ a: null
+ b: null
+ duplicate names: podvojenih imen
+ c: null
+ e: null
+ def `test_from_dict_exceptions`:
+ rename: null
+ colors: null
+ a: null
+ '#000000': null
+ '#00': null
+ '#qwerty': null
+ renamed_values: null
+ class `ContAttrDescTest`:
+ def `setUp`:
+ x: null
+ def `test_palette`:
+ foo: null
+ def `test_create_variable`:
+ z: null
+ colors: null
+ def `test_to_dict`:
+ x: null
+ y: null
+ rename: null
+ linear_viridis: null
+ colors: null
+ def `test_from_dict_exceptions`:
+ x: null
+ colors: null
+ no such palette: null
+ class `BaseTestColorTableModel`:
+ def `test_data`:
+ bar: null
+ def `test_set_data`:
+ foo: null
+ class `TestDiscColorTableModel`:
+ def `setUp`:
+ x: null
+ abc: null
+ y: null
+ def: null
+ z: null
+ ghijk: null
+ def `test_data`:
+ e: null
+ k: null
+ foo: null
+ def `test_set_data`:
+ k: null
+ foo: null
+ g: null
+ h: null
+ i: null
+ j: null
+ class `TestContColorTableModel`:
+ def `setUp`:
+ z: null
+ w: null
+ u: null
+ def `test_data`:
+ color_strip: null
+ Copy to all: Dodeli vsem
+ def `test_set_data`:
+ color_strip: null
+ class `TestColorStripDelegate`:
+ def `setUp`:
+ z: null
+ w: null
+ u: null
+ def `test_color_combo`:
+ closeEditor: null
+ def `test_paint`:
+ paint: null
+ class `TestOWColor`:
+ def `setUp`:
+ iris: null
+ def `test_invalid_input_colors`:
+ a: null
+ colors: null
+ invalid: null
+ def `test_unconditional_commit_on_new_signal`:
+ now: null
+ def `test_commit_on_data_changed`:
+ deferred: null
+ y: null
+ def `test_model_content`:
+ heart_disease: null
+ def `test_report`:
+ zoo: null
+ def `test_string_variables`:
+ zoo: null
+ def `test_changed_compute_value`:
+ x: null
+ def `test_reset`:
+ a: null
+ b: null
+ def `test_save`:
+ getSaveFileName: null
+ foo: null
+ bar: null
+ def `test_save_low`:
+ varA: null
+ abc: null
+ a2: null
+ varB: null
+ X: null
+ varC: null
+ c2: null
+ varD: null
+ linear_viridis: null
+ varE: null
+ foo.colors: null
+ categorical: null
+ rename: null
+ renamed_values: null
+ b: null
+ numeric: null
+ colors: null
+ def `test_load`:
+ Orange.widgets.data.owcolor.QMessageBox.critical: null
+ getOpenFileName: null
+ builtins.open: null
+ foo.colors: null
+ *.colors: null
+ json.load: null
+ err: null
+ d: null
+ def `test_load_ignore_warning`:
+ Orange.widgets.data.owcolor.QMessageBox.warning: null
+ foo: null
+ "'foo'": null
+ bar: null
+ "'foo' and 'bar'": "'foo' in 'bar'"
+ baz: null
+ "'foo', 'bar' and 'baz'": "'foo', 'bar' in 'baz'"
+ qux: null
+ "'foo', 'bar', 'baz' and 'qux'": "'foo', 'bar', 'baz' in 'qux'"
+ quux: null
+ "'foo', 'bar', 'baz', 'qux' and 'quux'": "'foo', 'bar', 'baz', 'qux' in 'quux'"
+ corge: null
+ "'foo', 'bar', 'baz', 'qux' and 2 other": "'foo', 'bar', 'baz', 'qux' in še dve drugi spremenljivki"
+ grault: null
+ "'foo', 'bar', 'baz', 'qux' and 3 other": "'foo', 'bar', 'baz', 'qux' in še tri druge spremenljivke"
+ def `_create_descs`:
+ var{c}: null
+ a: null
+ b: null
+ c: null
+ AB: null
+ CDE: null
+ def `test_parse_var_defs`:
+ categorical: null
+ varA: null
+ rename: null
+ a2: null
+ varB: null
+ renamed_values: null
+ b: null
+ X: null
+ numeric: null
+ varC: null
+ c2: null
+ varD: null
+ colors: null
+ linear_viridis: null
+ a: null
+ c: null
+ def `test_parse_var_defs_invalid`:
+ categorical: null
+ a: null
+ numeric: null
+ rename: null
+ b: null
+ def `test_parse_var_defs_shows_warnings`:
+ Orange.widgets.data.owcolor.QMessageBox.warning: null
+ categorical: null
+ varA: null
+ renamed_values: null
+ a: null
+ b: null
+ numeric: null
+ duplicate names: podvojenih imen
+ def `test_parse_var_defs_no_rename`:
+ Orange.widgets.data.owcolor.QMessageBox.warning: null
+ categorical: null
+ varA: null
+ rename: null
+ varB: null
+ numeric: null
+ duplicated names: podvojenih imen
+ X: null
+ varD: null
+ __main__: null
+widgets/data/tests/test_owconcatenate.py:
+ class `TestOWConcatenate`:
+ def `setUp`:
+ iris: null
+ titanic: null
+ def `test_source`:
+ Source ID: Vir
+ Source: Izvir
+ class_vars: null
+ attributes: null
+ metas: null
+ iris: null
+ titanic: null
+ def `test_source_ignore_compute_value`:
+ iris: null
+ titanic: null
+ def `test_unconditional_commit_on_new_signal`:
+ now: null
+ def `test_same_var_name`:
+ x: null
+ abcd: null
+ def: null
+ def `test_duplicated_id_column`:
+ x: null
+ abcd: null
+ x (1): null
+ def `test_domain_intersect`:
+ X1: null
+ X2: null
+ X3: null
+ a: null
+ b: null
+ D1: null
+ D2: null
+ D3: null
+ S1: null
+ S2: null
+ def `test_domain_union`:
+ X1: null
+ X2: null
+ X3: null
+ a: null
+ b: null
+ D1: null
+ D2: null
+ D3: null
+ S1: null
+ S2: null
+ def `test_domain_union_duplicated_names`:
+ X1: null
+ X2: null
+ X3: null
+ a: null
+ b: null
+ D1: null
+ S1: null
+ X1 (1): null
+ X2 (1): null
+ X2 (2): null
+ X1 (2): null
+ def `test_get_part_union`:
+ X1: null
+ X2: null
+ X3: null
+ X4: null
+ a: null
+ b: null
+ D1: null
+ D2: null
+ D3: null
+ S1: null
+ S2: null
+ S3: null
+ attributes: null
+ class_vars: null
+ metas: null
+ def `test_get_part_intersection`:
+ X1: null
+ X2: null
+ X3: null
+ X4: null
+ a: null
+ b: null
+ D1: null
+ D2: null
+ D3: null
+ S1: null
+ S2: null
+ S3: null
+ attributes: null
+ class_vars: null
+ metas: null
+ def `test_get_unique_vars`:
+ X1: null
+ X2: null
+ a: null
+ b: null
+ c: null
+ e: null
+ d: null
+ abc: null
+ ebd: null
+ abced: null
+ def `test_different_number_decimals`:
+ x: null
+ __main__: null
+widgets/data/tests/test_owcontinuize.py:
+ class `TestOWContinuize`:
+ def `test_empty_data`:
+ iris: null
+ def `test_continuous`:
+ housing: null
+ def `test_one_column_equal_values`:
+ iris: null
+ def `test_one_column_nan_values_normalize_sd`:
+ iris: null
+ def `test_one_column_nan_values_normalize_span`:
+ iris: null
+ def `test_disable_normalize_sparse`:
+ def `assert_enabled`:
+ Error in {method}: null
+ iris: null
+ def `test_normalizations`:
+ xyz: null
+ class `TestOWContinuizeUtils`:
+ def `test_dummy_coding_zero_based`:
+ foo: null
+ abc: null
+ foo=b: null
+ foo=c: null
+ def `test_dummy_coding_base_value`:
+ foo: null
+ abc: null
+ foo=b: null
+ foo=c: null
+ foo=a: null
+ def `test_one_hot_coding`:
+ foo: null
+ abc: null
+ foo={c}: null
+ class `TestWeightedIndicator`:
+ def `test_equality`:
+ d1: null
+ abc: null
+ d2: null
+ __main__: null
+widgets/data/tests/test_owcorrelations.py:
+ class `TestOWCorrelations`:
+ def `setUpClass`:
+ iris: null
+ zoo: null
+ heart_disease: null
+ housing: null
+ def `test_input_data_with_constant_features`:
+ c1: null
+ c2: null
+ d1: null
+ def `test_input_data_cont_target`:
+ MEDV: null
+ def `test_output_correlations`:
+ Correlation: Korelacije
+ FDR: null
+ def `test_correlation_type`:
+ Spearman correlation: Spearmanova korelacija
+ def `test_select_feature`:
+ petal length: null
+ petal width: null
+ sepal length: null
+ def `test_vizrank_use_heuristic`:
+ Orange.widgets.data.owcorrelations.SIZE_LIMIT: null
+ def `test_select_feature_against_heuristic`:
+ Orange.widgets.data.owcorrelations.SIZE_LIMIT: null
+ class `TestCorrelationRank`:
+ def `setUpClass`:
+ iris: null
+ def `test_row_for_state`:
+ +0.200: null
+ class `TestKMeansCorrelationHeuristic`:
+ def `setUpClass`:
+ datasets/breast-cancer-wisconsin: null
+ def `test_get_states_one_cluster`:
+ iris: null
+ __main__: null
+widgets/data/tests/test_owcreateclass.py:
+ class `TestHelpers`:
+ def `setUpClass`:
+ abc: null
+ a: null
+ bc: null
+ abcd: null
+ aa: null
+ bcd: null
+ rabc: null
+ x: null
+ def `test_map_by_substring`:
+ abc: null
+ a: null
+ bc: null
+ Bc: null
+ def `test_map_by_substring_with_map_values`:
+ abc: null
+ a: null
+ bc: null
+ def `test_value_from_string_substring`:
+ x: null
+ Orange.widgets.data.owcreateclass.map_by_substring: null
+ def `test_value_string_substring_flags`:
+ x: null
+ Orange.widgets.data.owcreateclass.map_by_substring: null
+ def `test_value_from_discrete_substring`:
+ x: null
+ def `test_value_from_discrete_substring_flags`:
+ x: null
+ Orange.widgets.data.owcreateclass.map_by_substring: null
+ def `test_valuefromstringsubstring_equality`:
+ d1: null
+ d2: null
+ abc: null
+ def: null
+ ghi: null
+ def `test_valuefromsdiscretesubstring_equality`:
+ d1: null
+ abc: null
+ ghi: null
+ d2: null
+ def: null
+ class `TestOWCreateClass`:
+ def `setUp`:
+ heart_disease: null
+ zoo: null
+ iris: null
+ def `_test_default_rules`:
+ C{i}: null
+ def `test_string_data`:
+ a: null
+ 54: null
+ 47: null
+ class: razred
+ name: null
+ def `_set_repeated`:
+ repeated: null
+ a: null
+ not repeated: null
+ b: null
+ c: null
+ def `_check_repeated`:
+ repeated: null
+ not repeated: null
+ def `new_class`:
+ a: null
+ repeated: null
+ b: null
+ not repeated: null
+ c: null
+ ?: null
+ def `_set_thal`:
+ thal: null
+ Cls1: null
+ Cls2: null
+ eversa: null
+ efect: null
+ def `_check_thal`:
+ thal: null
+ 117: null
+ 18: null
+ + 117: null
+ Cls1: null
+ Cls2: null
+ class: razred
+ reversable defect: null
+ fixed defect: null
+ def `test_flow_and_context_handling`:
+ C1: null
+ class: razred
+ thal: null
+ gender: null
+ ema: null
+ 97: null
+ 206: null
+ ma: null
+ + 97: null
+ C2: null
+ female: null
+ def `test_add_remove_lines`:
+ Cls3: null
+ a: null
+ 117: null
+ 18: null
+ + 117: null
+ 166: null
+ c: null
+ b: null
+ Cls1: null
+ Cls2: null
+ eversa: null
+ efect: null
+ def `test_report`:
+ thal: null
+ Cls3: null
+ a: null
+ b: null
+ c: null
+ def `test_bad_class_name`:
+ def `assertError`:
+ Data: null
+ class: null
+ gender: null
+ ' class ': null
+ def `test_same_class`:
+ a: null
+ __main__: null
+widgets/data/tests/test_owcreateinstance.py:
+ class `TestOWCreateInstance`:
+ def `setUp`:
+ iris: null
+ def `test_output`:
+ created: ustvarjeni
+ def `test_output_append_data`:
+ Source ID: Vir
+ iris: null
+ created: ustvarjeni
+ __source_widget: null
+ def `_get_init_buttons`:
+ buttonBox: null
+ def `test_table`:
+ zoo: null
+ def `test_missing_values`:
+ c: null
+ m: null
+ a: null
+ b: null
+ def `test_cascade_widgets`:
+ Source ID: Vir
+ def `test_cascade_widgets_attributes`:
+ __source_widget: null
+ def `test_cascade_widgets_class_vars`:
+ __source_widget: null
+ class `TestDiscreteVariableEditor`:
+ def `setUp`:
+ Foo: null
+ Bar: null
+ def `test_init`:
+ Foo: null
+ def `test_edit`:
+ Bar: null
+ def `test_set_value`:
+ Bar: null
+ def `test_edit_missing_value`:
+ ?: null
+ def `test_set_missing_value`:
+ ?: null
+ class `TestContinuousVariableEditor`:
+ def `setUp`:
+ iris: null
+ def `test_missing_values`:
+ var: null
+ def `test_overflow`:
+ var: null
+ class `TestStringVariableEditor`:
+ def `test_edit`:
+ Foo: null
+ def `test_set_value`:
+ Foo: null
+ class `TestTimeVariableEditor`:
+ def `setUp`:
+ var: null
+ def `test_have_date_have_time`:
+ var: null
+ def `test_have_time`:
+ var: null
+ def `test_no_date_no_time`:
+ var: null
+ class `TestVariableDelegate`:
+ def `setUp`:
+ iris: null
+ __main__: null
+widgets/data/tests/test_owcsvimport.py:
+ W: null
+ class `TestOWCSVFileImport`:
+ def `setUp`:
+ _local_settings: null
+ ascii: null
+ data-regions.tab: null
+ def `_check_data_regions`:
+ id: null
+ continent: null
+ state: null
+ UK: null
+ Russia: null
+ Mexico: null
+ def `test_restore`:
+ data-regions.tab: null
+ _session_items: null
+ Data: null
+ data-regions: null
+ def `test_restore_from_local`:
+ data-regions.tab: null
+ recent: null
+ path: null
+ options: null
+ _session_items_v2: null
+ 'local settings item must be recorded in _session_items_v2 when ': null
+ activated: null
+ Data: null
+ def `test_type_guessing`:
+ data-csv-types.tab: null
+ _session_items: null
+ __version__: null
+ Data: null
+ time: null
+ discrete1: null
+ discrete2: null
+ numeric1: null
+ numeric2: null
+ string: null
+ def `test_discrete_values_sort`:
+ data-csv-types.tab: null
+ ascii: null
+ _session_items: null
+ __version__: null
+ Data: null
+ 1: null
+ 3: null
+ 4: null
+ 5: null
+ 12: null
+ def `test_backward_compatibility`:
+ data-csv-types.tab: null
+ _session_items: null
+ __version__: null
+ Data: null
+ time: null
+ discrete1: null
+ discrete2: null
+ numeric1: null
+ numeric2: null
+ string: null
+ def `_browse_setup`:
+ _browse_dialog: null
+ exec: null
+ def `test_browse_prefix`:
+ basedir: null
+ def `test_browse_prefix_parent`:
+ bs: null
+ basedir: null
+ def `test_browse_for_missing`:
+ /this file does not exist.csv: null
+ _session_items: null
+ def `test_browse_for_missing_prefixed`:
+ __version__: null
+ _session_items_v2: null
+ basedir: null
+ this file does not exist.csv: null
+ data-regions.tab: null
+ def `test_browse_for_missing_prefixed_parent`:
+ origin1: null
+ basedir: null
+ this file does not exist.csv: null
+ __version__: null
+ _session_items_v2: null
+ class `TestImportDialog`:
+ def `test_dialog`:
+ grep_file.txt: null
+ utf-8: null
+ ' ': null
+ \": null
+ \\: null
+ class `TestModel`:
+ def `test_model`:
+ prefix: null
+ data-regions.tab: null
+ ${prefix}/data-regions.tab (missing): ${prefix}/data-regions.tab (ne obstaja)
+ ${prefix}/data-regions.tab: null
+ class `TestUtils`:
+ def `test_load_csv`:
+ 1/1/1990,1.0,[,one,\n: null
+ 1/1/1990,2.0,],two,\n: null
+ 1/1/1990,3.0,{,three,: null
+ ascii: null
+ M8[ns]: null
+ category: null
+ one: null
+ three: null
+ def `test_convert`:
+ I, J, K\n: null
+ ' , A, \n': null
+ B, , 1\n: null
+ ?, ., NA: null
+ ascii: null
+ B: null
+ ?: null
+ 1: null
+ NA: null
+ def `test_decimal_format`:
+ class `Dialect`:
+ ;: null
+ 3,21;3,37\n4,13;1.000,142: null
+ ascii: null
+ ,: null
+ .: null
+ def `test_open_compressed`:
+ abc: null
+ txt: null
+ gz: null
+ bz2: null
+ xz: null
+ zip: null
+ .{ext}: null
+ wt: null
+ ascii: null
+ rt: null
+ def `test_sniff_csv`:
+ A|B|C\n1|2|3\n1|2|3: null
+ '|': null
+ .: null
+ def `_open_write`:
+ w: null
+ wb: null
+ wt: null
+ r: null
+ .gz: null
+ .bz2: null
+ .xz: null
+ .zip: null
+ t: null
+ __main__: null
+widgets/data/tests/test_owdatainfo.py:
+ class `TestOWDataInfo`:
+ def `test_data`:
+ abc: null
+ xyz: null
+ nm: null
+ att 1: null
+ att 2: null
+ att 3: null
+ name: null
+ foo: null
+ bar: null
+ def `test_sparse`:
+ xyzuw: null
+ def `test_sql`:
+ class `SqlTable`:
+ foo: null
+ bar: null
+ y: null
+ Orange.widgets.data.owdatainfo.SqlTable: null
+ threading.Thread: null
+ _p_size: null
+ __main__: null
+widgets/data/tests/test_owdatasampler.py:
+ class `TestOWDataSampler`:
+ def `setUpClass`:
+ iris: null
+ zoo: null
+ def `test_bigger_size_with_replacement`:
+ 'Should be able to set a bigger size ': null
+ with replacement: null
+ def `test_cv_output_migration`:
+ sampling_type: null
+ compatibility_mode: null
+ __version__: null
+ __main__: null
+widgets/data/tests/test_owdatasets.py:
+ class `TestOWDataSets`:
+ def `test_no_internet_connection`:
+ Orange.widgets.data.owdatasets.list_remote: null
+ Orange.widgets.data.owdatasets.list_local: null
+ Orange.widgets.data.owdatasets.log: null
+ def `test_only_local`:
+ Orange.widgets.data.owdatasets.list_remote: null
+ Orange.widgets.data.owdatasets.list_local: null
+ core: null
+ foo.tab: null
+ Orange.widgets.data.owdatasets.log: null
+ def `test_filtering`:
+ Orange.widgets.data.owdatasets.list_remote: null
+ Orange.widgets.data.owdatasets.list_local: null
+ core: null
+ foo.tab: null
+ language: null
+ English: null
+ bar.tab: null
+ Slovenščina: null
+ Orange.widgets.data.owdatasets.log: null
+ foo: null
+ baz: null
+ def `test_download_iris`:
+ Orange.widgets.data.owdatasets.list_remote: null
+ core: null
+ iris.tab: null
+ Orange.widgets.data.owdatasets.list_local: null
+ Orange.widgets.data.owdatasets.ensure_local: null
+ def `test_dir_depth`:
+ Orange.widgets.data.owdatasets.list_remote: null
+ Orange.widgets.data.owdatasets.list_local: null
+ dir1: null
+ dir2: null
+ foo.tab: null
+ bar.tab: null
+ Orange.widgets.data.owdatasets.log: null
+ __main__: null
+widgets/data/tests/test_owdiscretize.py:
+ class `DataMixin`:
+ def `prepare_data`:
+ x: null
+ y: null
+ z: null
+ t: null
+ u: null
+ class `TestOWDiscretize`:
+ def `test_empty_data`:
+ iris: null
+ def `test_report`:
+ brown-selected: null
+ var_hints: null
+ alpha 0: null
+ alpha 7: null
+ alpha 14: null
+ alpha 21: null
+ 0.05: null
+ alpha 28: null
+ alpha 35: null
+ alpha 42: null
+ 0, 0.125: null
+ alpha 49: null
+ __version__: null
+ def `test_all`:
+ brown-selected: null
+ var_hints: null
+ alpha 0: null
+ alpha 7: null
+ alpha 14: null
+ alpha 21: null
+ 0.05: null
+ alpha 28: null
+ alpha 35: null
+ alpha 42: null
+ 0, 0.125: null
+ alpha 49: null
+ __version__: null
+ < 0: null
+ ≥ 0: null
+ < -0.15: null
+ -0.15 - -0.10: null
+ -0.10 - -0.05: null
+ -0.05 - 0.00: null
+ 0.00 - 0.05: null
+ 0.05 - 0.10: null
+ ≥ 0.10: null
+ 0 - 0.125: null
+ ≥ 0.125: null
+ def `test_get_values`:
+ 6: null
+ 7: null
+ 1, 2, 3, 4, 5: null
+ def `test_set_values`:
+ 6: null
+ 7: null
+ 1, 2, 3, 4, 5: null
+ def `test_varkeys_for_selection`:
+ x: null
+ u: null
+ def `test_change_selection_update_interface`:
+ x: null
+ 10: null
+ y: null
+ z: null
+ 5: null
+ t: null
+ def `test_update_hints`:
+ 10: null
+ x: null
+ y: null
+ z: null
+ t: null
+ 5: null
+ u: null
+ def `test_discretize_var`:
+ x: null
+ t: null
+ 10: null
+ keep: ohrani
+ foo error: null
+ <: null
+ removed: odstranjena
+ 1000: null
+ 1, 2, 3: null
+ def `test_update_discretizations`:
+ ytu: null
+ x: null
+ y: null
+ z: null
+ t: null
+ u: null
+ def `test_copy_to_manual`:
+ x: null
+ 2.5, 7.5, 12.5: null
+ z: null
+ 4.5, 9.5, 14.5: null
+ y: null
+ 3.5, 8.5, 13.5: null
+ u: null
+ def `test_migration_2_3`:
+ saved_var_states: null
+ age: null
+ rest SBP: null
+ cholesterol: null
+ max HR: null
+ ST by exercise: null
+ major vessels colored: null
+ __version__: null
+ autosend: null
+ controlAreaVisible: null
+ default_cutpoints: null
+ default_k: null
+ default_method_name: null
+ EqualFreq: null
+ context_settings: null
+ var_hints: null
+ "'1, 2, 3'": null
+ class `TestValidator`:
+ def `test_validate`:
+ 1: null
+ ,: null
+ -: null
+ 1,,: null
+ 1,a,: null
+ a: null
+ 1,1: null
+ 1,12: null
+ '1, 2 ': null
+ '1, 2, ': null
+ class `TestModels`:
+ def `test_model`:
+ x: null
+ freq: pogostost
+ width: širina
+ 3: null
+ y: null
+ keep: ohrani
+ class `TestDefaultDiscModel`:
+ def `test_data`:
+ 314: null
+ class `TestUtils`:
+ def `test_show_tip`:
+ Ha Ha: null
+ tip-label: null
+ Ha: null
+ def `test_format_desc`:
+ 10: null
+ 1: null
+ year: leto
+ 2: null
+ years: leti
+ day: dan
+ days: dneva
+ x: null
+ day(s): dan
+ def `test_fixed_width_disc`:
+ 5.3.1: null
+ abc: null
+ -5: null
+ 0: null
+ Orange.preprocess.discretize.FixedWidth: null
+ 5.13: null
+ 5: null
+ 42: null
+ def `test_fixed_time_width_disc`:
+ 5.3.1: null
+ 5.3: null
+ abc: null
+ -5: null
+ 0: null
+ Orange.preprocess.discretize.FixedTimeWidth: null
+ 5: null
+ 42: null
+ def `test_custom_discretization`:
+ 4 5: null
+ 2, 1, 5: null
+ 1, foo, 13: null
+ Orange.preprocess.discretize.Discretizer.: null
+ create_discretized_var: null
+ 1, 1.25, 1.5, 4: null
+ def `test_mdl_discretization`:
+ iris: null
+ Orange.preprocess.discretize.EntropyMDL: null
+ def `test_var_key`:
+ foo: null
+ bar: null
+ __main__: null
+widgets/data/tests/test_oweditdomain.py:
+ class `TestReport`:
+ def `test_rename`:
+ X: null
+ Y: null
+ def `test_annotate`:
+ X: null
+ a: null
+ 1: null
+ b: null
+ z: null
+ 2: null
+ j: null
+ def `test_unlinke`:
+ X: null
+ a: null
+ 1: null
+ b: null
+ z: null
+ unlinked: odvezana
+ def `test_categories_mapping`:
+ C: null
+ a: null
+ b: null
+ c: null
+ aa: null
+ cc: null
+ ee: null
+
: null
+ def `test_categorical_merge_mapping`:
+ C: null
+ a: null
+ b1: null
+ b2: null
+ b: null
+ c: null
+ def `test_reinterpret`:
+ T: null
+ → (: null
+ class `TestOWEditDomain`:
+ def `setUp`:
+ iris: null
+ def `test_widget_state`:
+ sepal length: null
+ iris: null
+ Iris-setosa: null
+ datasets/cyber-security-breaches.tab: null
+ Date_Posted_or_Updated: null
+ Business_Associate_Involved: null
+ def `test_output_data`:
+ Iris 2: null
+ def `test_input_from_owcolor`:
+ Data: null
+ def `test_list_attributes_remain_lists`:
+ a: null
+ list: null
+ [1, 2, 4]: null
+ def `test_annotation_bool`:
+ a: null
+ hidden: null
+ False: null
+ def `test_duplicate_names`:
+ iris: null
+ sepal height: null
+ def `test_unlink`:
+ x: null
+ y: null
+ z: null
+ def `test_time_variable_preservation`:
+ datasets/cyber-security-breaches.tab: null
+ Date: null
+ def `test_restore`:
+ Categorical: null
+ iris: null
+ Iris-setosa: null
+ Iris-versicolor: null
+ Iris-virginica: null
+ Rename: null
+ Z: null
+ AsString: null
+ class `TestEditors`:
+ def `test_variable_editor`:
+ S: null
+ A: null
+ 1: null
+ B: null
+ b: null
+ T: null
+ a: null
+ 2: null
+ action-add-label: null
+ action-delete-label: null
+ def `test_continuous_editor`:
+ X: null
+ A: null
+ 1: null
+ B: null
+ b: null
+ def `test_discrete_editor`:
+ C: null
+ a: null
+ b: null
+ c: null
+ A: null
+ 1: null
+ B: null
+ def `test_discrete_editor_add_remove_action`:
+ C: null
+ a: null
+ b: null
+ c: null
+ A: null
+ 1: null
+ B: null
+ d: null
+ Should only mark item as removed: null
+ Did not change data: null
+ def `test_discrete_editor_merge_action`:
+ Orange.widgets.data.oweditdomain.GroupItemsDialog.exec: null
+ C: null
+ a: null
+ b: null
+ c: null
+ A: null
+ 1: null
+ B: null
+ AA: null
+ BB: null
+ CC: null
+ other: ostalo
+ variable_changed should emit exactly once: null
+ def `test_discrete_editor_rename_selected_items_action`:
+ C: null
+ a: null
+ b: null
+ c: null
+ A: null
+ 1: null
+ B: null
+ setVisible: null
+ BA: null
+ variable_changed should emit exactly once: null
+ def `test_discrete_editor_context_menu`:
+ C: null
+ a: null
+ b: null
+ c: null
+ A: null
+ 1: null
+ B: null
+ setVisible: null
+ def `test_time_editor`:
+ T: null
+ A: null
+ 1: null
+ B: null
+ b: null
+ A: null
+ a: null
+ aa: null
+ B: null
+ f: null
+ T: null
+ M8[us]: null
+ S: null
+ 0: null
+ 1: null
+ 2: null
+ Detect automatically: Zaznaj samodejno
+ def `test_reinterpret_editor`:
+ Z: null
+ def `test_reinterpret_editor_simulate`:
+ type-combo: null
+ def `cb`:
+ Z: null
+ Z: null
+ def `test_unlink`:
+ X: null
+ A: null
+ 1: null
+ B: null
+ b: null
+ class `TestModels`:
+ def `test_variable_model`:
+ A: null
+ g: null
+ B: null
+ class `TestDelegates`:
+ def `test_delegate`:
+ a: null
+ b: null
+ a \N{RIGHTWARDS ARROW} b: null
+ reinterpreted: pretolmačena
+ showText: null
+ class `TestTransforms`:
+ def `_test_common`:
+ _copy: null
+ A: null
+ 1: null
+ def `test_continous`:
+ X: null
+ def `test_string`:
+ S: null
+ def `test_time`:
+ X: null
+ def `test_discrete`:
+ D: null
+ a: null
+ b: null
+ def `test_discrete_rename`:
+ D: null
+ a: null
+ b: null
+ A: null
+ B: null
+ def `test_discrete_reorder`:
+ D: null
+ 2: null
+ 3: null
+ 1: null
+ 0: null
+ def `test_discrete_add_drop`:
+ D: null
+ 2: null
+ 3: null
+ 1: null
+ 0: null
+ A: null
+ def `test_discrete_merge`:
+ D: null
+ 2: null
+ 3: null
+ 1: null
+ 0: null
+ x: null
+ y: null
+ class `TestReinterpretTransforms`:
+ def `setUpClass`:
+ A: null
+ a: null
+ b: null
+ c: null
+ B: null
+ 0: null
+ 1: null
+ 2: null
+ C: null
+ D: null
+ S: null
+ T: null
+ 0.1: null
+ 2010: null
+ 1.0: null
+ 2020: null
+ def `test_as_string`:
+ a: null
+ 2: null
+ 0.25: null
+ 00:03:00: null
+ b: null
+ 1: null
+ 1.25: null
+ 00:06:00: null
+ c: null
+ 0: null
+ 0.2: null
+ 00:12:00: null
+ 0.0: null
+ 00:00:00: null
+ def `test_as_discrete`:
+ A: null
+ a: null
+ b: null
+ c: null
+ B: null
+ 0: null
+ 1: null
+ 2: null
+ C: null
+ 0.0: null
+ 0.2: null
+ 0.25: null
+ 1.25: null
+ D: null
+ 1970-01-01 00:00:00: null
+ 1970-01-01 00:03:00: null
+ 1970-01-01 00:06:00: null
+ 1970-01-01 00:12:00: null
+ def `test_as_time`:
+ _: null
+ 07.02.2022: null
+ 18.04.2021: null
+ 07.02.2022 01:02:03: null
+ 18.04.2021 01:02:03: null
+ 2021-02-08 01:02:03+01:00: null
+ 2021-02-07 01:02:03+01:00: null
+ 010203: null
+ 02-07: null
+ 04-18: null
+ 25.11.2021: null
+ 25.11.2021 00:00:00: null
+ 2021-11-25 00:00:00: null
+ 000000: null
+ 11-25: null
+ 2022-02-07: null
+ 2021-04-18: null
+ 2022-02-07 01:02:03: null
+ 2021-04-18 01:02:03: null
+ 2021-02-08 01:02:03+0100: null
+ 2021-02-07 01:02:03+0100: null
+ 01:02:03: null
+ 1900-02-07: null
+ 1900-04-18: null
+ s{i}: null
+ d{i}: null
+ def `test_reinterpret_string`:
+ {v.name}_{i}: null
+ Detect automatically: null
+ 0.1: null
+ 2010: null
+ 1.0: null
+ 2020: null
+ def `test_compound_transform`:
+ a: null
+ Z1: null
+ Z2: null
+ b: null
+ def `test_to_time_variable`:
+ Detect automatically: null
+ class `TestUtils`:
+ def `test_mapper`:
+ a: null
+ b: null
+ O: null
+ def `test_as_float_or_nan`:
+ a: null
+ 1.1: null
+ .2: null
+ NaN: null
+ def `test_column_str_repr`:
+ S: null
+ A: null
+ B: null
+ ?: null
+ C: null
+ 0.1: null
+ 1: null
+ D: null
+ a: null
+ b: null
+ T: null
+ 00:00:00: null
+ 00:00:01: null
+ class `TestLookupMappingTransform`:
+ def `setUp`:
+ S: null
+ a: null
+ b: null
+ def `test_transform`:
+ a: null
+ b: null
+ c: null
+ def `test_pickle`:
+ a: null
+ b: null
+ c: null
+ def `test_equality`:
+ v1: null
+ abc: null
+ v3: null
+ a: null
+ b: null
+ c: null
+ class `TestGroupLessFrequentItemsDialog`:
+ def `setUp`:
+ C: null
+ a: null
+ b: null
+ c: null
+ A: null
+ 1: null
+ B: null
+ def `test_dialog_open`:
+ a: null
+ b: null
+ def `test_group_selected`:
+ a: null
+ b: null
+ BA: null
+ def `test_group_less_frequent_abs`:
+ a: null
+ b: null
+ BA: null
+ c: null
+ def `test_group_less_frequent_rel`:
+ a: null
+ b: null
+ BA: null
+ c: null
+ def `test_group_keep_n`:
+ a: null
+ b: null
+ BA: null
+ c: null
+ def `test_group_less_frequent_missing`:
+ def `_test_correctness`:
+ b: null
+ c: null
+ __main__: null
+widgets/data/tests/test_owfeatureconstructor.py:
+ class `FeatureConstructorTest`:
+ def `test_construct_variables_discrete`:
+ iris: null
+ Discrete Variable: null
+ "iris_one if iris == 'Iris-setosa' else iris_two ": null
+ if iris == 'Iris-versicolor' else iris_three: null
+ iris one: null
+ iris two: null
+ iris three: null
+ def `test_construct_variables_discrete_no_values`:
+ iris: null
+ Discrete Variable: null
+ str(iris)[-1]: null
+ ar: null
+ def `test_construct_variables_continuous`:
+ iris: null
+ Continuous Variable: null
+ pow(sepal_length + sepal_width, 2): null
+ def `test_construct_variables_datetime`:
+ housing: null
+ Date: null
+ '"2019-07-{:02}".format(int(MEDV/3))': null
+ 2019-07-{int(row['MEDV'] / 3):02}: null
+ def `test_construct_variables_string`:
+ iris: null
+ String Variable: null
+ str(iris) + '_name': null
+ _name: null
+ def `test_construct_numeric_names`:
+ iris: null
+ 0.1: null
+ 1: null
+ S: null
+ _0_1 + _1: null
+ def `test_construct_placement`:
+ ab: null
+ x: null
+ a + b: null
+ y: null
+ z: null
+ def `test_unicode_normalization`:
+ \u00b5: null
+ Micro Variable: null
+ def `test_transform_sparse`:
+ A: null
+ X: null
+ class `TestTools`:
+ def `test_free_vars`:
+ foo: null
+ single: null
+ foo; bar();: null
+ exec: null
+ def `freevars_`:
+ eval: null
+ 1: null
+ ...: null
+ a: null
+ f(1): null
+ f: null
+ f(x): null
+ x: null
+ a + 1: null
+ a + b: null
+ b: null
+ a[b]: null
+ f(x, *a): null
+ f(x, *a, y=1): null
+ f(x, *a, y=1, **k): null
+ k: null
+ f(*a, *b, k=c, **d, **e): null
+ c: null
+ d: null
+ e: null
+ True: null
+ "'True'": null
+ None: null
+ b'None': null
+ a < b: null
+ a < b <= c: null
+ 1 < a <= 3: null
+ {}: null
+ []: null
+ (): null
+ [a, 1]: null
+ '{a: b}': null
+ {a, b}: null
+ 0 if abs(a) < 0.1 else b: null
+ abs: null
+ 'lambda: a': null
+ 'lambda a: b + 1': null
+ 'lambda a: a + 1': null
+ '(lambda a: a + 1)(a)': null
+ 'lambda a, *arg: arg + (a,)': null
+ 'lambda a, *arg, **kwargs: arg + (a,)': null
+ 'lambda a: a + c': null
+ 'lambda a, b=k: a + c': null
+ 'lambda *a, b=k: a + c': null
+ 'lambda a,/, b=k: a + c': null
+ 'lambda a,/, b=k, **kwg: a + c and kwg': null
+ [a for a in b]: null
+ [a for a, k in b]: null
+ [(a, j) for a in b]: null
+ j: null
+ [a for k in b for a in k]: null
+ [a for k in b if k for a in k if a]: null
+ [a for k in b if kk for a in k if aa]: null
+ kk: null
+ aa: null
+ [1 + a for c in b if c]: null
+ {a for _ in [] if b}: null
+ def `test_validate_exp`:
+ 1: null
+ single: null
+ a; b: null
+ exec: null
+ def `validate_`:
+ eval: null
+ a: null
+ a + 1: null
+ a < 1: null
+ 1 < a: null
+ 1 < a < 10: null
+ a and b: null
+ not a: null
+ a if b else c: null
+ f(x): null
+ f(g(x)) + g(x): null
+ f(x, r=b): null
+ a[b]: null
+ a in {'a', 'b'}: null
+ {}: null
+ "{'a': 1}": null
+ (): null
+ []: null
+ [i async for i in s]: null
+ (i async for i in s): null
+ class `FeatureFuncTest`:
+ def `test_reconstruct`:
+ iris: null
+ sepal width: null
+ a * sepal_width + c: null
+ sepal_width: null
+ a: null
+ c: null
+ def `test_repr`:
+ a + 1: null
+ a: null
+ FeatureFunc('a + 1', [('a', 2)], {}, None, False, None): null
+ def `test_call`:
+ iris: null
+ sepal_width + 10: null
+ sepal_width: null
+ sepal width: null
+ def `test_string_casting`:
+ zoo: null
+ name[0]: null
+ name: null
+ def `test_missing_variable`:
+ zoo: null
+ type: null
+ type[0]: null
+ def `test_time_str`:
+ T: null
+ str(T): null
+ 1970-01-01: null
+ def `test_invalid_expression_variable`:
+ iris: null
+ 1 / petal_length: null
+ petal_length: null
+ petal length: null
+ def `test_hash_eq`:
+ iris: null
+ 1 / petal_length: null
+ petal_length: null
+ petal length: null
+ class `OWFeatureConstructorTests`:
+ def `test_create_variable_with_no_data`:
+ X1: null
+ def `test_error_invalid_expression`:
+ iris: null
+ X: null
+ 0: null
+ 0a: null
+ def `test_transform_error`:
+ iris: null
+ X: null
+ 1/0: null
+ 1: null
+ def `test_renaming_duplicate_vars`:
+ iris: null
+ 0: null
+ def `test_discrete_no_values`:
+ iris: null
+ A: null
+ D1: null
+ 1: null
+ def `test_missing_strings`:
+ S1: null
+ A: null
+ B: null
+ S2: null
+ S1 + S1: null
+ AA: null
+ BB: null
+ def `test_fix_values`:
+ Orange.widgets.data.owfeatureconstructor.QMessageBox: null
+ abc: null
+ ana: null
+ berta: null
+ cilka: null
+ y: null
+ ana.value + berta.value + cilka.value: null
+ ana + berta + cilka: null
+ ana.value + dani.value + cilka.value: null
+ apply: null
+ ana + dani.value + cilka: null
+ sqrt(berta): null
+ "sqrt({'a': 0, 'b': 1, 'c': 2}[berta])": null
+ def `test_migration_discrete_strings`:
+ Ana: null
+ 012: null
+ Cilka: null
+ context_settings: null
+ y: null
+ Ana + int(Cilka): null
+ u: null
+ Ana.value + 'X': null
+ 1X: null
+ int(Cilka): null
+ def `test_report`:
+ context_settings: null
+ a: null
+ x + 2: null
+ b: null
+ x < 3: null
+ c: null
+ x > 15: null
+ d: null
+ y > x: null
+ foo: null
+ bar: null
+ e: null
+ x ** 2 + y == 5: null
+ f: null
+ str(x): null
+ g: null
+ z: null
+ xyz: null
+ abcdefg: null
+ def `test_output_domain_picklable`:
+ iris: null
+ X1: null
+ max(0, sepal_width - 5): null
+ D1: null
+ HIGH if sepal_width > 5 else LOW: null
+ HIGH: null
+ LOW: null
+ D2: null
+ "'HIGH' if sepal_length > 5 else 'LOW'": null
+ T1: null
+ 0: null
+ T2: null
+ "'1900-01-01'": null
+ class `TestFeatureEditor`:
+ def `test_has_functions`:
+ abs: null
+ sqrt: null
+ class `FeatureConstructorHandlerTests`:
+ def `test_handles_builtins_in_expression`:
+ X: null
+ str(A) + str(B): null
+ A: null
+ B: null
+ str('foo'): null
+ str(X): null
+ def `test_handles_special_characters_in_var_names`:
+ X: null
+ A_2_f: null
+ A.2 f: null
+ __main__: null
+widgets/data/tests/test_owfeaturestatistics.py:
+ VarDataPair: null
+ variable: null
+ data: null
+ continuous_full: null
+ continuous_missing: null
+ continuous_all_missing: null
+ continuous_same: null
+ rgb_full: null
+ r: null
+ g: null
+ b: null
+ rgb_missing: null
+ rgb_all_missing: null
+ rgb_bins_missing: null
+ rgb_same: null
+ ints_full: null
+ 2: null
+ 3: null
+ 4: null
+ ints_missing: null
+ ints_all_missing: null
+ ints_bins_missing: null
+ ints_same: null
+ time_full: null
+ time_missing: null
+ time_all_missing: null
+ time_same: null
+ time_negative: null
+ string_full: null
+ a: null
+ c: null
+ d: null
+ e: null
+ string_missing: null
+ string_all_missing: null
+ string_same: null
+ class `TestVariousDataSets`:
+ def `setUp`:
+ auto_commit: null
+ def `test_runs_on_iris`:
+ iris: null
+ def `test_does_not_crash_on_empty_domain`:
+ iris: null
+ def `test_on_edge_case_datasets`:
+ Failed on `{data.name}`: null
+ class `TestFeatureStatisticsOutputs`:
+ def `setUp`:
+ auto_commit: null
+ def `test_changing_data_updates_output`:
+ iris: null
+ def `test_changing_data_updates_output_with_autocommit`:
+ iris: null
+ def `test_output_statistics`:
+ continuous_full: null
+ 0: null
+ continuous_missing: null
+ rgb_full: null
+ g: null
+ rgb_missing: null
+ class `TestFeatureStatisticsUI`:
+ def `setUp`:
+ auto_commit: null
+ iris: null
+ zoo: null
+ def `test_settings_migration_to_ver21`:
+ controlAreaVisible: null
+ savedWidgetGeometry: null
+ __version__: null
+ context_settings: null
+ auto_commit: null
+ color_var: null
+ iris: null
+ selected_rows: null
+ sorting: null
+ petal length: null
+ petal width: null
+ sepal length: null
+ sepal width: null
+ def `test_report`:
+ : null
+ : null
+ __main__: null
+widgets/data/tests/test_owfile.py:
+ datasets: null
+ titanic.tab: null
+ class `FailedSheetsFormat`:
+ .failed_sheet: null
+ Make a sheet function that fails: null
+ def `sheets`:
+ Not working: null
+ class `WithWarnings`:
+ .with_warning: null
+ Warning: null
+ def `read`:
+ Some warning: null
+ iris: null
+ class `MyCustomTabReader`:
+ .tab: null
+ Always return iris: null
+ def `read`:
+ iris: null
+ class `TestOWFile`:
+ def `test_describe_call_get_nans`:
+ iris: null
+ get_nan_frequency_attribute: null
+ def `test_dragEnterEvent_skips_osx_file_references`:
+ /.file/id=12345: null
+ def `test_dragEnterEvent_skips_usupported_files`:
+ file.unsupported: null
+ def `test_domain_changes_are_stored`:
+ iris: null
+ text: besedilna
+ zoo: null
+ def `test_rename_duplicates`:
+ iris: null
+ iris (1): null
+ iris (2): null
+ different iris: null
+ def `test_variable_name_change`:
+ iris: null
+ a: null
+ d: null
+ b: null
+ text: besedilna
+ c: null
+ categorical: kategorična
+ zoo: null
+ numeric: številska
+ def `test_no_last_path`:
+ recent_paths: null
+ def `test_file_not_found`:
+ test_owfile_data.tab: null
+ d1: null
+ a: null
+ b: null
+ c1: null
+ aaa: null
+ bbb: null
+ No data.: Ni podatkov.
+ iris: null
+ def `test_nothing_selected`:
+ recent_paths: null
+ def `test_check_column_noname`:
+ iris: null
+ ' ': null
+ def `test_invalid_role_mode`:
+ iris: null
+ def `test_context_match_includes_variable_values`:
+ '\
+var
+a b
+
+a
+': null
+ '\
+var
+a b c
+
+a
+': null
+ .tab: null
+ a, b: null
+ a, b, c: null
+ def `test_check_datetime_disabled`:
+ '\
+ 01.08.16\t42.15\tneumann\t2017-02-20
+ 03.08.16\t16.08\tneumann\t2017-02-21
+ 04.08.16\t23.04\tneumann\t2017-02-22
+ 03.09.16\t48.84\tturing\t2017-02-23
+ 02.02.17\t23.16\tturing\t2017-02-24': null
+ .tab: null
+ def `test_reader_custom_tab`:
+ .tab: null
+ recent_paths: null
+ def `test_no_reader_extension`:
+ .xyz_unknown: null
+ recent_paths: null
+ def `test_fail_sheets`:
+ .failed_sheet: null
+ def `test_with_warnings`:
+ .with_warning: null
+ def `test_fail`:
+ name\nc\n\nstring: null
+ .tab: null
+ Orange.widgets.data.owfile.log.exception: null
+ def `test_read_format`:
+ iris: null
+ def `open_iris_with_no_spec_format`:
+ ;;: null
+ AnyQt.QtWidgets.QFileDialog.getOpenFileName: null
+ Orange.data.io.TabReader: null
+ Tab-separated: Vrednosti, ločene s tabulatorjem
+ def `test_no_specified_reader`:
+ .tab: null
+ not.a.file.reader.class: null
+ recent_paths: null
+ def `test_select_reader`:
+ iris.tab: null
+ not.a.file.reader.class: null
+ recent_paths: null
+ Tab-separated: Vrednosti, ločene s tabulatorjem
+ def `test_select_reader_errors`:
+ iris.tab: null
+ Orange.data.io.ExcelReader: null
+ recent_paths: null
+ Excel: null
+ def `test_domain_edit_no_changes`:
+ iris: null
+ def `test_domain_edit_on_sparse_data`:
+ iris: null
+ .pickle: null
+ wb: null
+ def `test_drop_data_when_everything_skipped`:
+ iris: null
+ skip: izpusti
+ def `test_call_deprecated_dialog_formats`:
+ Tab: tabulator
+ def `test_add_new_format`:
+ .tab: null
+ Orange.widgets.data.owfile.open_filename_dialog: null
+ def `test_domain_editor_conversions`:
+ 'V0\tV1\tV2\tV3\tV4\tV5\tV6
+ c\tc\td\td\tc\td\td
+ \t \t \t \t \t \t
+ 3.0\t1.0\t4\ta\t0.0\tx\t1.0
+ 1.0\t2.0\t4\tb\t0.0\ty\t2.0
+ 2.0\t1.0\t7\ta\t0.0\ty\t2.0
+ 0.0\t2.0\t7\ta\t0.0\tz\t2.0': null
+ .tab: null
+ categorical: kategorična
+ text: besedilna
+ numeric: številska
+ def `test_domaineditor_continuous_to_string`:
+ V0\nc\n\n1.0\nnan\n3.0: null
+ .tab: null
+ text: besedilna
+ 1: null
+ 3: null
+ def `test_domaineditor_makes_variables`:
+ V0\tV1\nc\td\n\n1.0\t2: null
+ V0: null
+ V1: null
+ .tab: null
+ text: besedilna
+ numeric: številska
+ def `test_url_no_scheme`:
+ foo.bar/xxx.csv: null
+ Orange.widgets.data.owfile.UrlReader: null
+ http://: null
+ def `test_adds_origin`:
+ origin1/images: null
+ image: null
+ origin: null
+ origin1: null
+ origin2/images: null
+ origin2: null
+ def `test_open_moved_workflow`:
+ Orange.widgets.widget.OWWidget.workflowEnv: null
+ basedir: null
+ temp/datasets: null
+ datasets: null
+ recent_paths: null
+ def `test_files_relocated`:
+ Orange.widgets.widget.OWWidget.workflowEnv: null
+ basedir: null
+ temp/datasets: null
+ datasets: null
+ recent_paths: null
+ def `test_sheets`:
+ ..: null
+ tests: null
+ xlsx_files: null
+ header_0_sheet.xlsx: null
+ my_sheet: null
+ Sheet1: null
+ Sheet3: null
+ no such sheet: null
+ def `test_warning_from_another_thread`:
+ os.path.exists: null
+ def `read`:
+ warning from another thread: null
+ foo: null
+ def `test_warning_from_this_thread`:
+ os.path.exists: null
+ warning from this thread: null
+ foo: null
+ def `test_recent_url_serialization`:
+ load_data: null
+ https://example.com/test.tab: null
+ https://example.com/test1.tab: null
+ recent_urls: null
+ class `TestOWFileDropHandler`:
+ def `test_canDropUrl`:
+ https://example.com/test.tab: null
+ test.tab: null
+ def `test_parametersFromUrl`:
+ https://example.com/test.tab: null
+ source: null
+ recent_urls: null
+ test.tab: null
+ recent_paths: null
+ /foo.tab: null
+ foo.tab: null
+ defaults: null
+ __main__: null
+widgets/data/tests/test_owgroupby.py:
+ class `TestOWGroupBy`:
+ def `setUp`:
+ iris: null
+ def `test_data_domain_changed`:
+ Mean: Povprečje
+ Mode: Najpogostejša
+ def `test_attr_table_row_selection`:
+ Mean: Povprečje
+ Median: Mediana
+ Q1: null
+ Q3: null
+ Min. value: Najmanjša vrednost
+ Max. value: Največja vrednost
+ Mode: Najpogostejša
+ Sum: Vsota
+ Standard deviation: Standardna deviacija
+ Variance: Varianca
+ Count defined: Število znanih
+ Count: Velikost skupine
+ Concatenate: Stakni
+ Span: Razpon
+ First value: Prva vrednost
+ Last value: Zadnja vrednost
+ Random value: Naključna
+ Proportion defined: Delež znanih
+ a: null
+ b: null
+ cvar: null
+ dvar: null
+ svar: null
+ def `test_aggregations_change`:
+ Mean: Povprečje
+ Mode: Najpogostejša
+ Concatenate: Stakni
+ a: null
+ b: null
+ cvar: null
+ dvar: null
+ svar: null
+ Median: Mediana
+ Mean, Median: Povprečje, Mediana
+ Mean, Median, Mode: Povprečje, Mediana, Najpogostejša
+ Mean, Mode: Povprečje, Najpogostejša
+ Count: Velikost skupine
+ Mean, Mode, Count: Povprečje, Najpogostejša, Velikost skupine
+ Mode, Count: Najpogostejša, Velikost skupine
+ Mean, Count: Povprečje, Velikost skupine
+ Count defined: Število znanih
+ Mean, Mode, Count defined and 1 more: Povprečje, Najpogostejša, Število znanih in 1 druga
+ Mean, Mode, Count defined: Povprečje, Najpogostejša, Število znanih
+ Concatenate, Count defined: Stakni, Število znanih
+ def `test_aggregation`:
+ sval1 sval2 sval2 sval1 sval2 sval1: null
+ sval2 sval1 sval2 sval1 sval2 sval1: null
+ cvar - Mean: cvar - Povprečje
+ cvar - Median: cvar - Mediana
+ cvar - Q1: null
+ cvar - Q3: null
+ cvar - Min. value: cvar - Najmanjša vrednost
+ cvar - Max. value: cvar - Največja vrednost
+ cvar - Mode: cvar - Najpogostejša
+ cvar - Standard deviation: cvar - Standardna deviacija
+ cvar - Variance: cvar - Varianca
+ cvar - Sum: cvar - Vsota
+ cvar - Span: cvar - Razpon
+ cvar - First value: cvar - Prva vrednost
+ cvar - Last value: cvar - Zadnja vrednost
+ cvar - Count defined: cvar - Število znanih
+ cvar - Count: cvar - Velikost skupine
+ cvar - Proportion defined: cvar - Delež znanih
+ dvar - Mode: dvar - Najpogostejša
+ dvar - First value: dvar - Prva vrednost
+ dvar - Last value: dvar - Zadnja vrednost
+ dvar - Count defined: dvar - Število znanih
+ dvar - Count: dvar - Velikost skupine
+ dvar - Proportion defined: dvar - Delež znanih
+ svar - First value: svar - Prva vrednost
+ svar - Last value: svar - Zadnja vrednost
+ svar - Count defined: svar - Število znanih
+ svar - Count: svar - Velikost skupine
+ svar - Proportion defined: svar - Delež znanih
+ cvar - Concatenate: cvar - Stakni
+ dvar - Concatenate: dvar - Stakni
+ svar - Concatenate: svar - Stakni
+ a: null
+ b: null
+ val1: null
+ val2: null
+ sval1: null
+ sval2: null
+ 0.1 0.2: null
+ val1 val2: null
+ sval1 sval2: null
+ 0.3: null
+ 0.3 0.4 0.6: null
+ val1 val2 val1: null
+ sval1 sval2 sval1: null
+ 1.0 2.0: null
+ val2 val1: null
+ sval2 sval1: null
+ 3.0 -4.0: null
+ 5.0 5.0: null
+ Random value: Naključna
+ def `test_metas_results`:
+ svar: null
+ def `test_context`:
+ Mean: Povprečje
+ Mode: Najpogostejša
+ Concatenate: Stakni
+ Median: Mediana
+ Mean, Median: Povprečje, Mediana
+ a: null
+ b: null
+ cvar: null
+ dvar: null
+ svar: null
+ def `test_context_time_variable`:
+ T: null
+ G: null
+ G1: null
+ G2: null
+ Sum: null
+ Median: Mediana
+ Mean: Povprečje
+ def `test_unexpected_error`:
+ Orange.data.aggregate.OrangeTableGroupBy.aggregate: null
+ Test unexpected err: null
+ def `test_time_variable`:
+ ..: null
+ tests: null
+ datasets: null
+ test10.tab: null
+ c2: null
+ d2: null
+ Mean: Povprečje
+ Mode: Najpogostejša
+ Mean, Median, Q1 and 14 more: Povprečje, Mediana, Q1 in 14 drugih
+ def `test_time_variable_results`:
+ G: null
+ G1: null
+ G2: null
+ G3: null
+ T: null
+ Mode: Najpogostejša
+ Mean: Povprečje
+ Mean, Median, Q1 and 14 more: Povprečje, Mediana, Q1 in 14 drugih
+ T - Mean: T - Povprečje
+ 1970-01-01 00:00:10: null
+ 1970-01-01 00:12:30: null
+ 1970-01-01 00:00:01: null
+ T - Median: T - Mediana
+ T - Q1: null
+ 1970-01-01 00:00:05: null
+ 1970-01-01 00:10:25: null
+ T - Q3: null
+ 1970-01-01 00:00:15: null
+ 1970-01-01 00:14:35: null
+ T - Min. value: T - Najmanjša vrednost
+ 1970-01-01 00:00:00: null
+ 1970-01-01 00:08:20: null
+ T - Max. value: T - Največja vrednost
+ 1970-01-01 00:00:20: null
+ 1970-01-01 00:16:40: null
+ T - Mode: T - Najpogostejša
+ T - Standard deviation: T - Standardna deviacija
+ T - Variance: T - Varianca
+ T - Span: T - Razpon
+ T - First value: T - Prva vrednost
+ T - Last value: T - Zadnja vrednost
+ T - Count defined: T - Število znanih
+ T - Count: T - Velikost skupine
+ T - Proportion defined: T - Delež znanih
+ T - Concatenate: T - Stakni
+ 1970-01-01 00:00:00 1970-01-01 00:00:10 1970-01-01 00:00:20: null
+ 1970-01-01 00:08:20 1970-01-01 00:16:40: null
+ Random value: Naključna
+ T - Random value: T - Naključna
+ def `test_tz_time_variable_results`:
+ T: null
+ G: null
+ G1: null
+ G2: null
+ 1970-01-01 01:00:00+01:00: null
+ 1970-01-01 01:00:10+01:00: null
+ 1970-01-01 01:00:20+01:00: null
+ Mode: Najpogostejša
+ Mean: Povprečje
+ Mean, Median, Q1 and 14 more: Povprečje, Mediana, Q1 in 14 drugih
+ T - Mean: T - Povprečje
+ 1970-01-01 00:00:10: null
+ T - Median: T - Mediana
+ T - Q1: null
+ 1970-01-01 00:00:05: null
+ T - Q3: null
+ 1970-01-01 00:00:15: null
+ T - Min. value: T - Najmanjša vrednost
+ 1970-01-01 00:00:00: null
+ T - Max. value: T - Največja vrednost
+ 1970-01-01 00:00:20: null
+ T - Mode: T - Najpogostejša
+ T - Standard deviation: T - Standardna deviacija
+ T - Variance: T - Varianca
+ T - Span: T - Razpon
+ T - First value: T - Prva vrednost
+ T - Last value: T - Zadnja vrednost
+ T - Count defined: T - Število znanih
+ T - Count: T - Velikost skupine
+ T - Proportion defined: T - Delež znanih
+ T - Concatenate: T - Stakni
+ 1970-01-01 00:00:00 1970-01-01 00:00:10 1970-01-01 00:00:20: null
+ Random value: Naključna
+ def `test_only_nan_in_group`:
+ A: null
+ B: null
+ B - Mean: B - Povprečje
+ B - Median: B - Mediana
+ B - Q1: null
+ B - Q3: null
+ B - Min. value: B - Najmanjša vrednost
+ B - Max. value: B - Največja vrednost
+ B - Mode: B - Najpogostejša
+ B - Standard deviation: B - Standardna deviacija
+ B - Variance: B - Varianca
+ B - Sum: B - Vsota
+ B - Span: B - Razpon
+ B - First value: B - Prva vrednost
+ B - Last value: B - Zadnja vrednost
+ B - Random value: B - Naključna
+ B - Count defined: B - Število znanih
+ B - Count: B - Velikost skupine
+ B - Proportion defined: B - Delež znanih
+ B - Concatenate: B - Stakni
+ 1.0 1.0: null
+ __main__: null
+widgets/data/tests/test_owimpute.py:
+ class `TestOWImpute`:
+ def `test_empty_data`:
+ iris: null
+ Data: null
+ def `test_model_error`:
+ brown-selected: null
+ def `test_select_method`:
+ iris: null
+ def `test_overall_default`:
+ c{i}: null
+ t{i}: null
+ def `test_value_edit`:
+ heart_disease: null
+ chest pain: null
+ rest SBP: null
+ cholesterol: null
+widgets/data/tests/test_owmelt.py:
+ def `data_without_commit`:
+ def `wrapped`:
+ Orange.widgets.data.owmelt.OWMelt.commit: null
+ class `TestOWMeltBase`:
+ def `setUp`:
+ gender: null
+ f: null
+ m: null
+ age: null
+ pretzels: null
+ telezka: null
+ big: null
+ small: null
+ name: null
+ greeting: null
+ ana: null
+ hi: null
+ berta: null
+ hello: null
+ cilka: null
+ evgen: null
+ foo: null
+ class `TestOWMeltFunctional`:
+ def `test_idvar_model`:
+ iris: null
+ def `test_no_suitable_features`:
+ heart_disease: null
+ def `test_invalidates`:
+ heart_disease: null
+ class `TestOWMeltUnit`:
+ def `test_is_unique`:
+ name: null
+ telezka: null
+ gender: null
+ greeting: null
+ def `test_nonnan_mask`:
+ Ana: null
+ Berta: null
+ Dani: null
+ def `test_get_useful_vars`:
+ name: null
+ gender: null
+ age: null
+ pretzels: null
+ telezka: null
+ def `test_get_item_names`:
+ age: null
+ telezka: null
+ def `test_prepare_domain_names`:
+ name: null
+ the item: null
+ the value: null
+ age: null
+ pretzels: null
+ Ana: null
+ Berta: null
+ Dani: null
+ telezka: null
+ def `test_prepare_domain_renames`:
+ age: null
+ pretzels: null
+ Ana: null
+ Berta: null
+ Dani: null
+ a: null
+ b: null
+ def `test_prepare_domain_values`:
+ name: null
+ age: null
+ pretzels: null
+ Ana: null
+ Berta: null
+ Dani: null
+ telezka: null
+ def `test_reshape_dense_by_meta`:
+ name: null
+ def `test_reshape_dense_by_attr`:
+ telezka: null
+ def `test_reshape_sparse_by_meta`:
+ name: null
+ def `test_reshape_sparse_by_attr`:
+ telezka: null
+ class `TestContextHandler`:
+ def `test_decode_calls_super`:
+ decode_setting: null
+ idvar: null
+ not_idvar: null
+ def `test_encode_calls_super`:
+ encode_setting: null
+ idvar: null
+ not_idvar: null
+ __main__: null
+widgets/data/tests/test_owmergedata.py:
+ class `TestOWMergeData`:
+ def `setUpClass`:
+ dA1: null
+ a: null
+ b: null
+ c: null
+ d: null
+ dA2: null
+ aa: null
+ bb: null
+ clsA: null
+ aaa: null
+ bbb: null
+ ccc: null
+ mA1: null
+ cc: null
+ dd: null
+ mA2: null
+ m1: null
+ m2: null
+ m3: null
+ m4: null
+ dB1: null
+ dB2: null
+ clsB: null
+ mB1: null
+ m5: null
+ dataA: null
+ dataA attributes: null
+ dataB: null
+ dataB attributes: null
+ def `test_attr_combo_tooltips`:
+ : null
+ def `test_match_attr_name`:
+ dA1: null
+ a: null
+ b: null
+ c: null
+ d: null
+ dA2: null
+ aa: null
+ bb: null
+ dA3: null
+ cls: null
+ aaa: null
+ bbb: null
+ ccc: null
+ mA1: null
+ cc: null
+ dd: null
+ mA2: null
+ m1: null
+ m2: null
+ m3: null
+ m4: null
+ dB1: null
+ m5: null
+ dataA: null
+ dataA attributes: null
+ dataB: null
+ dataB attributes: null
+ def `test_migrate_settings`:
+ Position (index): null
+ attr_combine_extra: null
+ Source position (index): null
+ attr_pairs: null
+ __version__: null
+ def `test_migrate_settings_attr_pairs_extra_none`:
+ attr_pairs: null
+ sepal length: null
+ context_settings: null
+ def `test_migrate_settings_attr_pairs_data_none`:
+ attr_pairs: null
+ sepal length: null
+ context_settings: null
+ def `test_migrate_settings_attr_pairs_id_idx`:
+ attr_pairs: null
+ context_settings: null
+ def `test_migrate_settings_attr_pairs_vars`:
+ attr_pairs: null
+ sepal length: null
+ sepal width: null
+ petal length: null
+ petal width: null
+ context_settings: null
+ def `test_no_matches`:
+ dA1: null
+ dB2: null
+ def `test_output_merge_by_ids_inner`:
+ m2: null
+ m3: null
+ clsA: null
+ def `test_output_merge_by_ids_outer`:
+ clsA (1): null
+ clsA (2): null
+ m2: null
+ m3: null
+ m1: null
+ clsA: null
+ def `test_output_merge_by_ids_outer_single_class`:
+ clsA: null
+ m1: null
+ m2: null
+ m3: null
+ def `test_output_merge_by_index_left`:
+ m1: null
+ m2: null
+ m3: null
+ m4: null
+ def `test_output_merge_by_index_inner`:
+ m1: null
+ m2: null
+ m3: null
+ def `test_output_merge_by_index_outer`:
+ m1: null
+ m2: null
+ m3: null
+ m4: null
+ def `test_output_merge_by_attribute_left`:
+ m1: null
+ m2: null
+ m3: null
+ m4: null
+ def `test_output_merge_by_attribute_inner`:
+ m1: null
+ m2: null
+ m3: null
+ def `test_output_merge_by_attribute_outer`:
+ m1: null
+ m2: null
+ m3: null
+ m4: null
+ def `test_output_merge_by_attribute_outer_same_attr`:
+ name: null
+ x: null
+ y: null
+ a: null
+ b: null
+ c: null
+ d: null
+ ' ': null
+ a a b b c c d: null
+ def `test_output_merge_by_class_left`:
+ m1: null
+ m2: null
+ m3: null
+ m4: null
+ def `test_output_merge_by_class_inner`:
+ m2: null
+ m3: null
+ def `test_output_merge_by_class_outer`:
+ m1: null
+ m2: null
+ m3: null
+ m4: null
+ def `test_output_merge_by_meta_left`:
+ m1: null
+ m2: null
+ m3: null
+ m4: null
+ def `test_output_merge_by_meta_inner`:
+ m4: null
+ def `test_output_merge_by_meta_outer`:
+ m1: null
+ m2: null
+ m3: null
+ m4: null
+ def `test_best_match`:
+ zoo: null
+ datasets/zoo-with-images.tab: null
+ name: null
+ wrong attributes chosen for merge_type={i}: null
+ def `test_sparse`:
+ iris: null
+ titanic: null
+ Data: null
+ Extra Data: null
+ def `test_multiple_attributes_left`:
+ a: null
+ b: null
+ c: null
+ d: null
+ dataA: null
+ dataB: null
+ def `test_nonunique`:
+ x: null
+ d: null
+ abc: null
+ def `test_invalide_pairs`:
+ x: null
+ d: null
+ abc: null
+ def `test_duplicate_names`:
+ C1: null
+ Feature: null
+ A: null
+ B: null
+ Feature (1): null
+ Feature (2): null
+ def `test_keep_non_duplicate_variables`:
+ A: null
+ B: null
+ B (1): null
+ B (2): null
+ def `test_keep_non_duplicate_variables_missing_rows`:
+ C: null
+ a: null
+ b: null
+ c: null
+ A: null
+ B: null
+ A (1): null
+ A (2): null
+ B (1): null
+ C (1): null
+ B (2): null
+ C (2): null
+ class `MergeDataContextHandlerTest`:
+ def `test_attr_pairs_not_present`:
+ iris: null
+ a: null
+ b: null
+ attr_pairs: null
+ __main__: null
+widgets/data/tests/test_owneighbors.py:
+ class `TestOWNeighbors`:
+ def `setUp`:
+ auto_apply: null
+ iris: null
+ def `test_input_reference_disconnect`:
+ Neighbors: null
+ def `test_output_neighbors`:
+ Neighbors: null
+ def `test_settings`:
+ Jaccard: null
+ Neighbors: null
+ def `test_similarity`:
+ Neighbors: null
+ distance: null
+ def `test_missing_values`:
+ iris: null
+ Neighbors: null
+ def `test_compute_distances_apply_called`:
+ iris: null
+ def `test_compute_distances_calls_distance`:
+ foo: null
+ iris: null
+ def `test_compute_distances_distance_no_data`:
+ foo: null
+ iris: null
+ def `test_data_with_similarity`:
+ iris: null
+ distance: null
+ def `test_apply`:
+ iris: null
+ def `test_all_equal_ref`:
+ iris: null
+ def `test_different_domains`:
+ a: null
+ b: null
+ def `test_different_metas`:
+ a: null
+ b: null
+ c: null
+ d: null
+ e: null
+ def `test_different_domains_same_names`:
+ a: null
+ b: null
+ c: null
+ d: null
+ __main__: null
+widgets/data/tests/test_owoutliers.py:
+ class `TestRun`:
+ def `test_results`:
+ iris: null
+ Outlier: null
+ class `TestOWOutliers`:
+ def `setUp`:
+ iris: null
+ heart_disease: null
+ def `test_output_empirical_covariance`:
+ Outlier: null
+ Mahalanobis: null
+ def `test_memory_error`:
+ Orange.classification.outlier_detection._OutlierModel.predict: null
+ def `test_singular_cov_error`:
+ Orange.classification.outlier_detection._OutlierModel.predict: null
+ def `test_covariance_enabled`:
+ Orange.widgets.data.owoutliers.OWOutliers.MAX_FEATURES: null
+ Orange.widgets.data.owoutliers.OWOutliers.commit: null
+ def `test_report`:
+ Orange.widgets.data.owoutliers.OWOutliers.report_items: null
+ def `test_migrate_settings`:
+ cont: null
+ empirical_covariance: null
+ gamma: null
+ nu: null
+ outlier_method: null
+ support_fraction: null
+ __version__: null
+ __main__: null
+widgets/data/tests/test_owpaintdata.py:
+ class `TestOWPaintData`:
+ def `setUp`:
+ autocommit: null
+ def `test_empty_data`:
+ iris: null
+ def `test_var_name_duplicates`:
+ iris: null
+ atr1: null
+ atr2: null
+ def `test_output_shares_internal_buffer`:
+ iris: null
+ def `test_20_values_class`:
+ A: null
+ B: null
+ C: null
+ a: null
+ t: null
+ def `test_sparse_data`:
+ iris: null
+ def `test_load_empty_data`:
+ data: null
+ def `test_reset_to_input`:
+ iris: null
+widgets/data/tests/test_owpivot.py:
+ class `TestOWPivot`:
+ def `setUp`:
+ iris: null
+ heart_disease: null
+ zoo: null
+ def `test_comboboxes`:
+ (Same as rows): (Enako kot vrstice)
+ age: null
+ def `test_output_grouped_data`:
+ iris: null
+ (count): (velikost skupine)
+ sepal length (sum): sepal length (vsota)
+ sepal width (sum): sepal width (vsota)
+ petal length (sum): petal length (vsota)
+ petal width (sum): petal width (vsota)
+ def `test_output_grouped_data_time_var`:
+ d1: null
+ a: null
+ b: null
+ t1: null
+ [[a, 2, 1987-06-06],\n [b, 2, 1976-05-03]]: null
+ def `test_output_pivot_table`:
+ iris: null
+ Aggregate: Vrednost
+ Iris-setosa: null
+ Iris-versicolor: null
+ Iris-virginica: null
+ def `test_aggregations`:
+ (None): null
+ def `test_group_table_created_once`:
+ Orange.widgets.data.owpivot.Pivot._initialize: null
+ def `test_renaming_warning`:
+ iris: null
+ Aggregate: Vrednost
+ def `test_max_values`:
+ Orange.widgets.data.owpivot.OWPivot.MAX_VALUES: null
+ def `test_table_values`:
+ gender: null
+ thal: null
+ 72.0: null
+ normal: null
+ 25.0: null
+ reversable defect: null
+ 92.0: null
+ 114.0: null
+ def `test_migrate_settings_1_to_2`:
+ sel_agg_functions: null
+ Count: Velikost skupine
+ Sum: Vsota
+ class `TestPivot`:
+ def `setUpClass`:
+ d1: null
+ a: null
+ b: null
+ d2: null
+ c: null
+ d: null
+ e: null
+ c1: null
+ c0: null
+ c2: null
+ cls: null
+ m1: null
+ m2: null
+ aa: null
+ dd: null
+ bb: null
+ ee: null
+ cc: null
+ def `test_group_table`:
+ (count): (velikost skupine)
+ d1 (count defined): d1 (število znanih)
+ d1 (majority): d1 (večina)
+ a: null
+ b: null
+ d2 (count defined): d2 (število znanih)
+ d2 (majority): d2 (večina)
+ c: null
+ d: null
+ e: null
+ c1 (count defined): c1 (število znanih)
+ c1 (sum): c1 (vsota)
+ c1 (mean): c1 (povprečje)
+ c1 (min): c1 (najmanjša)
+ c1 (max): c1 (največja)
+ c1 (mode): c1 (najpogostejša)
+ c1 (median): c1 (mediana)
+ c1 (var): c1 (varianca)
+ def `test_group_table_time_var`:
+ d1: null
+ a: null
+ b: null
+ t1: null
+ '[[a, 2, 2, a, 2, 1.1e+09, 1987-06-06, 1973-03-03, ': null
+ '2001-09-09, 1973-03-03, 1987-06-06, 2.025e+17],\n ': null
+ '[b, 2, 2, b, 1, 2e+08, 1976-05-03, 1976-05-03, ': null
+ 1976-05-03, 1976-05-03, 1976-05-03, 0]]: null
+ def `test_group_table_metas`:
+ d1: null
+ a: null
+ b: null
+ c1: null
+ d2: null
+ c2: null
+ (count): (velikost skupine)
+ d1 (count defined): d1 (število znanih)
+ d1 (majority): d1 (večina)
+ c1 (count defined): c1 (število znanih)
+ c1 (sum): c1 (vsota)
+ c1 (mean): c1 (povprečje)
+ c1 (min): c1 (najmanjša)
+ c1 (max): c1 (največja)
+ c1 (mode): c1 (najpogostejša)
+ c1 (median): c1 (mediana)
+ c1 (var): c1 (varianca)
+ d2 (count defined): d2 (število znanih)
+ d2 (majority): d2 (večina)
+ c2 (count defined): c2 (število znanih)
+ c2 (sum): c2 (vsota)
+ c2 (mean): c2 (povprečje)
+ c2 (min): c2 (najmanjša)
+ c2 (max): c2 (največja)
+ c2 (mode): c2 (najpogostejša)
+ c2 (median): c2 (mediana)
+ c2 (var): c2 (varianca)
+ def `test_group_table_use_cached`:
+ Orange.widgets.data.owpivot.Pivot.Functions: null
+ Count: Velikost skupine
+ Sum: Vsota
+ Orange.widgets.data.owpivot.Pivot.Sum: null
+ Orange.widgets.data.owpivot.Pivot.Count: null
+ Orange.widgets.data.owpivot.Pivot.AutonomousFunctions: null
+ Orange.widgets.data.owpivot.Pivot.ContVarFunctions: null
+ Orange.widgets.data.owpivot.Pivot.FloatFunctions: null
+ (count): (velikost skupine)
+ d1 (count defined): d1 (število znanih)
+ d1 (majority): d1 (večina)
+ a: null
+ b: null
+ d2 (count defined): d2 (število znanih)
+ d2 (majority): d2 (večina)
+ c: null
+ d: null
+ e: null
+ c1 (count defined): c1 (število znanih)
+ c1 (sum): c1 (vsota)
+ c1 (mean): c1 (povprečje)
+ c1 (min): c1 (najmanjša)
+ c1 (max): c1 (največja)
+ c1 (mode): c1 (najpogostejša)
+ c1 (median): c1 (mediana)
+ c1 (var): c1 (varianca)
+ def `test_group_table_no_col_var`:
+ (count): (velikost skupine)
+ d1 (count defined): d1 (število znanih)
+ d1 (majority): d1 (večina)
+ a: null
+ b: null
+ d2 (count defined): d2 (število znanih)
+ d2 (majority): d2 (večina)
+ c: null
+ d: null
+ e: null
+ c1 (count defined): c1 (število znanih)
+ c1 (sum): c1 (vsota)
+ c1 (mean): c1 (povprečje)
+ c1 (min): c1 (najmanjša)
+ c1 (max): c1 (največja)
+ c1 (mode): c1 (najpogostejša)
+ c1 (median): c1 (mediana)
+ c1 (var): c1 (varianca)
+ def `test_group_table_no_col_var_metas`:
+ d1: null
+ a: null
+ b: null
+ c1: null
+ d2: null
+ c2: null
+ (count): (velikost skupine)
+ d1 (count defined): d1 (število znanih)
+ d1 (majority): d1 (večina)
+ c1 (count defined): c1 (število znanih)
+ c1 (sum): c1 (vsota)
+ c1 (mean): c1 (povprečje)
+ c1 (min): c1 (najmanjša)
+ c1 (max): c1 (največja)
+ c1 (mode): c1 (najpogostejša)
+ c1 (median): c1 (mediana)
+ c1 (var): c1 (varianca)
+ d2 (count defined): d2 (število znanih)
+ d2 (majority): d2 (večina)
+ c2 (count defined): c2 (število znanih)
+ c2 (sum): c2 (vsota)
+ c2 (mean): c2 (povprečje)
+ c2 (min): c2 (najmanjša)
+ c2 (max): c2 (največja)
+ c2 (mode): c2 (najpogostejša)
+ c2 (median): c2 (mediana)
+ c2 (var): c2 (varianca)
+ def `test_group_table_update`:
+ (count): (velikost skupine)
+ d1 (count defined): d1 (število znanih)
+ d1 (majority): d1 (večina)
+ a: null
+ b: null
+ d2 (count defined): d2 (število znanih)
+ d2 (majority): d2 (večina)
+ c: null
+ d: null
+ e: null
+ c1 (count defined): c1 (število znanih)
+ c1 (sum): c1 (vsota)
+ c1 (mean): c1 (povprečje)
+ c1 (min): c1 (najmanjša)
+ c1 (max): c1 (največja)
+ c1 (mode): c1 (najpogostejša)
+ c1 (median): c1 (mediana)
+ c1 (var): c1 (varianca)
+ def `test_group_table_1`:
+ (count): (velikost skupine)
+ c0 (count defined): c0 (število znanih)
+ c0 (sum): c0 (vsota)
+ c0 (mean): c0 (povprečje)
+ c0 (min): c0 (najmanjša)
+ c0 (max): c0 (največja)
+ c0 (mode): c0 (najpogostejša)
+ c0 (median): c0 (mediana)
+ c0 (var): c0 (varianca)
+ d1 (count defined): d1 (število znanih)
+ d1 (majority): d1 (večina)
+ a: null
+ b: null
+ c1 (count defined): c1 (število znanih)
+ c1 (sum): c1 (vsota)
+ c1 (mean): c1 (povprečje)
+ c1 (min): c1 (najmanjša)
+ c1 (max): c1 (največja)
+ c1 (mode): c1 (najpogostejša)
+ c1 (median): c1 (mediana)
+ c1 (var): c1 (varianca)
+ d2 (count defined): d2 (število znanih)
+ d2 (majority): d2 (večina)
+ c2 (count defined): c2 (število znanih)
+ c2 (sum): c2 (vsota)
+ c2 (mean): c2 (povprečje)
+ c2 (min): c2 (najmanjša)
+ c2 (max): c2 (največja)
+ c2 (mode): c2 (najpogostejša)
+ c2 (median): c2 (mediana)
+ c2 (var): c2 (varianca)
+ cls (count defined): cls (število znanih)
+ cls (majority): cls (večina)
+ m1 (count defined): m1 (število znanih)
+ m2 (count defined): m2 (število znanih)
+ def `test_pivot`:
+ Aggregate: Vrednost
+ Count: Velikost skupine
+ Count defined: Število znanih
+ Sum: Vsota
+ Mean: Povprečje
+ Min: Najmanjša
+ Max: Največja
+ Mode: Najpogostejša
+ Median: Mediana
+ Var: Varianca
+ c: null
+ d: null
+ e: null
+ def `test_pivot_total`:
+ Total: Skupno
+ Aggregate: Vrednost
+ Count: Velikost skupine
+ Sum: Vsota
+ c: null
+ d: null
+ e: null
+ def `test_pivot_no_col_var`:
+ Aggregate: Vrednost
+ Count: Velikost skupine
+ Count defined: Število znanih
+ Sum: Vsota
+ Mean: Povprečje
+ Min: Najmanjša
+ Max: Največja
+ Mode: Najpogostejša
+ Median: Mediana
+ Var: Varianca
+ a: null
+ b: null
+ def `test_pivot_no_val_var`:
+ Aggregate: Vrednost
+ Count: Velikost skupine
+ c: null
+ d: null
+ e: null
+ def `test_pivot_disc_val_var`:
+ Aggregate: Vrednost
+ Count defined: Število znanih
+ Majority: Večina
+ a: null
+ 0.0: null
+ 1.0: null
+ c: null
+ d: null
+ b: null
+ e: null
+ def `test_pivot_time_val_var`:
+ d1: null
+ a: null
+ b: null
+ d2: null
+ c: null
+ d: null
+ t1: null
+ Aggregate: Vrednost
+ Min: Najmanjša
+ Max: Največja
+ Count defined: Število znanih
+ Sum: Vsota
+ 1.0: null
+ 1973-03-03: null
+ 1976-05-03: null
+ 0.0: null
+ 2001-09-09: null
+ def `test_pivot_data_subset`:
+ iris: null
+ Aggregate: Vrednost
+ Count: Velikost skupine
+ Count defined: Število znanih
+ Majority: Večina
+ Iris-setosa: null
+ 0.0: null
+ 50.0: null
+ Iris-versicolor: null
+ def `test_pivot_renaming_domain`:
+ iris: null
+ Aggregate: Vrednost
+ Aggregate (1): Vrednost (1)
+ Aggregate (2): Vrednost (2)
+ __main__: null
+widgets/data/tests/test_owpreprocess.py:
+ class `TestOWPreprocess`:
+ def `setUp`:
+ zoo: null
+ def `test_randomize`:
+ preprocessors: null
+ orange.preprocess.randomize: null
+ rand_type: null
+ rand_seed: null
+ def `test_remove_sparse`:
+ iris: null
+ preprocessors: null
+ orange.preprocess.remove_sparse: null
+ filter0: null
+ useFixedThreshold: null
+ percThresh: null
+ fixedThresh: null
+ def `test_normalize`:
+ iris: null
+ preprocessors: null
+ orange.preprocess.scale: null
+ method: null
+ def `test_select_features`:
+ iris: null
+ preprocessors: null
+ orange.preprocess.fss: null
+ strategy: null
+ k: null
+ p: null
+ def `test_data_column_nans`:
+ preprocessors: null
+ orange.preprocess.scale: null
+ center: null
+ scale: null
+ class `TestDiscretizeEditor`:
+ def `test_editor`:
+ method: null
+ n: null
+ class `TestContinuizeEditor`:
+ def `test_editor`:
+ multinomial_treatment: null
+ class `TestImputeEditor`:
+ def `test_editor`:
+ method: null
+ class `TestFeatureSelectEditor`:
+ def `test_editor`:
+ k: null
+ class `TestRandomFeatureSelectEditor`:
+ def `test_editor`:
+ strategy: null
+ k: null
+ p: null
+ class `TestRandomizeEditor`:
+ def `test_editor`:
+ rand_type: null
+ class `TestPCAEditor`:
+ def `test_editor`:
+ n_components: null
+ class `TestCUREditor`:
+ def `test_editor`:
+ rank: null
+ max_error: null
+ __main__: null
+widgets/data/tests/test_owpurgedomain.py:
+ class `TestOWPurgeDomain`:
+ def `setUp`:
+ iris: null
+ __main__: null
+widgets/data/tests/test_owpythonscript.py:
+ class `TestOWPythonScript`:
+ def `setUp`:
+ iris: null
+ def `test_inputs`:
+ Data: null
+ Learner: null
+ Classifier: null
+ Object: null
+ object: null
+ def `test_outputs`:
+ Data: null
+ Learner: null
+ Classifier: null
+ out_{0} = in_{0}: null
+ print(in_{}): null
+ def `test_local_variable`:
+ temp = 42\nprint(temp): null
+ 42: null
+ print(temp): null
+ "NameError: name 'temp' is not defined": null
+ def `test_wrong_outputs`:
+ Data: null
+ Learner: null
+ Classifier: null
+ out_{} = 42: null
+ out_{0} = in_{0}: null
+ def `test_multiple_signals`:
+ titanic: null
+ in_data: null
+ in_datas: null
+ Data: null
+ def `test_store_new_script`:
+ 42: null
+ def `test_restore_from_library`:
+ 42: null
+ def `test_store_current_script`:
+ 42: null
+ def `test_read_file_content`:
+ Content: null
+ .42: null
+ wb: null
+ \xc3\x28: null
+ def `test_script_insert_mime_text`:
+ test\n: null
+ def `test_script_insert_mime_file`:
+ test: null
+ .42: null
+ print('Hello world'): null
+ "'": null
+ def `test_dragEnterEvent_accepts_text`:
+ Content: null
+ .42: null
+ def `test_dragEnterEvent_rejects_binary`:
+ .42: null
+ wb: null
+ \xc3\x28: null
+ def `test_migrate`:
+ libraryListSource: null
+ A: null
+ 1: null
+ __version__: null
+ def `test_restore`:
+ scriptLibrary: null
+ A: null
+ 1: null
+ __version__: null
+ def `test_no_shared_namespaces`:
+ x = 42: null
+ y = 2 * x: null
+ "NameError: name 'x' is not defined": null
+ class `TestOWPythonScriptDropHandler`:
+ def `test_canDropFile`:
+ test.tab: null
+ def `test_parametersFromFile`:
+ scriptLibrary: null
+ filename: null
+ name: null
+ Add: null
+ script: null
+ 1 + 1: null
+ 42: null
+ __version__: null
+ defaults: null
+ __main__: null
+widgets/data/tests/test_owrandomize.py:
+ class `TestOWRandomize`:
+ def `setUpClass`:
+ zoo: null
+ def `test_unconditional_commit_on_new_signal`:
+ now: null
+widgets/data/tests/test_owrank.py:
+ class `SlowScorer`:
+ Slow scorer: null
+ class `TestRankModel`:
+ def `setUp`:
+ ann: null
+ ab: null
+ great: null
+ defg: null
+ def: null
+ foo: null
+ bar: null
+ def `test_data`:
+ ann: null
+ great: null
+ e: null
+ foo: null
+ bar: null
+ class `TestOWRank`:
+ def `setUp`:
+ iris: null
+ housing: null
+ def `test_input_scorer_fitter`:
+ heart_disease: null
+ random forest: null
+ sgd: null
+ ignore: null
+ .*: null
+ Scorer: null
+ Data: null
+ def `test_cls_scorer_reg_data`:
+ Orange.widgets.data.owrank.log.error: null
+ def `test_reg_scorer_cls_data`:
+ Orange.widgets.data.owrank.log.error: null
+ def `test_scores_updates_cls`:
+ Gini: null
+ Orange.widgets.data.owrank.log.error: null
+ def `test_scores_updates_reg`:
+ Univar. reg.: null
+ def `test_scores_updates_no_class`:
+ Orange.widgets.data.owrank.log.error: null
+ def `test_no_class_data_learner_class_reg`:
+ Orange.widgets.data.owrank.log.error: null
+ def `test_scores_sorting`:
+ FCBF: null
+ def `test_score_sorting_int`:
+ sorting: null
+ __version__: null
+ def `test_scores_nan_sorting`:
+ petal length: null
+ def `test_data_which_make_scorer_nan`:
+ c: null
+ d: null
+ 01: null
+ ANOVA: null
+ def `test_setting_migration_fixes_header_state`:
+ headerState is not restored in Qt6: null
+ __version__: null
+ auto_apply: null
+ headerState: null
+ \x00\x00\x00\xff\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00: null
+ \x00\x00\x00\x00\x00\x01\x01\x00\x00\x00\x00\x00\x00\x00: null
+ \x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x02\xd0\x00: null
+ \x00\x00\x08\x00\x01\x01\x00\x00\x00\x00\x00\x00\x00\x00: null
+ \x00\x00\x00\x00\x00d\xff\xff\xff\xff\x00\x00\x00\x84\x00: null
+ \x00\x00\x00\x00\x00\x00\x02\x00\x00\x00\x14\x00\x00\x00: null
+ \x01\x00\x00\x00\x00\x00\x00\x02\xbc\x00\x00\x00\x07\x00: null
+ \x00\x00\x00: null
+ \x00\x01\x00\x00\x00\x01\x01\x00\x00\x00\x00\x00\x00\x00: null
+ \x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\xdc\x00: null
+ \x00\x00\x03\x00\x01\x01\x00\x00\x00\x00\x00\x00\x00\x00: null
+ \x01\x00\x00\x00\x00\x00\x00\x00\xc8\x00\x00\x00\x02\x00: null
+ nSelected: null
+ selectMethod: null
+ def `test_auto_selection_manual`:
+ heart_disease: null
+ chest pain: null
+ rest ECG: null
+ slope peak exc ST: null
+ thal: null
+ def `test_resorting_and_selection`:
+ heart_disease: null
+ def `test_auto_send`:
+ petal width: null
+ petal length: null
+ def `test_no_attributes`:
+ iris: null
+ def `test_dataset`:
+ Orange.widgets.data.owrank.log.warning: null
+ Orange.widgets.data.owrank.log.error: null
+ ignore: null
+ Features .* are constant: null
+ __main__: null
+widgets/data/tests/test_owsave.py:
+ def `_w`:
+ /: null
+ class `MockFormat`:
+ .mock: null
+ Mock file format: null
+ class `OWSaveTestBase`:
+ def `setUp`:
+ class `OWSaveMockWriter`:
+ .csv: null
+ iris: null
+ class `TestOWSave`:
+ def `test_dataset`:
+ foo.tab: null
+ def `test_initial_start_dir`:
+ ~/: null
+ os.path.exists: null
+ /usr/foo/bar.csv: null
+ /usr/bar: null
+ /usr/bar/: null
+ /usr/bar/iris.csv: null
+ ~/iris.csv: null
+ def `test_save_file_sets_name`:
+ Orange.widgets.utils.save.owsavebase.QFileDialog.getSaveFileName: null
+ /usr/foo/bar.csv: null
+ /usr/foo/: null
+ /bar/bar.csv: null
+ /bar: null
+ bar.csv: null
+ def `test_save_file_calls_save_as`:
+ bar.csv: null
+ def `test_save_file_checks_can_save`:
+ foo: null
+ def `test_save_file_write_errors`:
+ bar/foo: null
+ def `test_save_file_write`:
+ bar/foo.csv: null
+ def `test_file_name_label`:
+ /foo/bar/baz.csv: null
+ def `test_sparse_error`:
+ foo.xlsx: null
+ def `test_send_report`:
+ foo.{writer.EXTENSIONS[0]}: null
+ for {writer}, annotations={widget.add_type_annotations}: null
+ File name: Ime datoteke
+ Type annotations: Oznake tipov
+ No: Ne
+ Yes: Da
+ def `test_migration_to_version_2`:
+ add_type_annotations: null
+ auto_save: null
+ controlAreaVisible: null
+ last_dir: null
+ /home/joe/Desktop: null
+ __version__: null
+ compress: null
+ compression: null
+ gzip (.gz): null
+ filetype: null
+ Tab-separated values (.tab): null
+ filter: null
+ Tab-separated values (*.tab): null
+ lzma (.xz): null
+ Compressed Tab-separated values (*.tab.gz): null
+ Microsoft Excel spreadsheet (.xlsx): null
+ Microsoft Excel spreadsheet (*.xlsx): null
+ Bar file (.bar): null
+ def `test_migration_to_version_3`:
+ add_type_annotations: null
+ stored_name: null
+ zoo.xlsx: null
+ __version__: null
+ zoo.tab: null
+ class `TestFunctionalOWSave`:
+ def `setUp`:
+ iris: null
+ def `test_save_uncompressed`:
+ iris: null
+ read: null
+ def `test_unsupported_file_format`:
+ Unsupported filter (*.foo): null
+ test.foo: null
+ iris: null
+ write: null
+ class `TestOWSaveLinuxDialog`:
+ linux: null
+ Tests for dialog on Linux: null
+ def `test_get_save_filename_linux`:
+ baz: null
+ abc: null
+ b: null
+ foo: null
+ bar: null
+ a;;b;;c: null
+ def `test_save_file_dialog_enforces_extension_linux`:
+ filters: null
+ Save File: null
+ foo.bar: null
+ Bar files (*.tab);;Low files (*.csv): null
+ Low files (*.csv): null
+ /foo.csv: null
+ high.bar: null
+ /high.bar.csv: null
+ Bar files (*.tab): null
+ /high.bar.tab: null
+ middle.pkl: null
+ /middle.tab: null
+ /middle.csv: null
+ high.tab.gz: null
+ /high.csv: null
+ high.tab.gz.tab.tab.gz: null
+ def `test_save_file_dialog_uses_valid_filters_linux`:
+ a (*.a): null
+ b (*.b): null
+ a (*.a);;b (*.b): null
+ class `TestOWSaveDarwinDialog`:
+ darwin: null
+ win32: null
+ Test for native dialog on Windows and macOS: null
+ def `remove_star`:
+ ' (*.': null
+ ' (.': null
+ def `test_get_save_filename_darwin`:
+ Orange.widgets.utils.save.owsavebase.QFileDialog: null
+ baz: null
+ aa (*.a): null
+ bb (*.b): null
+ cc (*.c): null
+ foo: null
+ foo.a: null
+ aa (*.a);;bb (*.b);;cc (*.c): null
+ def `test_save_file_dialog_enforces_extension_darwin`:
+ Orange.widgets.utils.save.owsavebase.QFileDialog: null
+ .tab: null
+ .csv.gz: null
+ foo: null
+ foo.tab: null
+ foo.pkl: null
+ foo.tab.gz: null
+ foo.csv.gz: null
+ foo.bar: null
+ foo.bar.tab: null
+ foo.bar.csv.gz: null
+ def `test_save_file_dialog_asks_for_overwrite_darwin`:
+ Orange.widgets.utils.save.owsavebase.QFileDialog: null
+ os.path.exists: null
+ old.tab: null
+ Orange.widgets.utils.save.owsavebase.QMessageBox: null
+ def `selected_files`:
+ old.tab: null
+ new.tab: null
+ baz: null
+ .tab: null
+ new.tab: null
+ def `test_save_file_dialog_uses_valid_filters_darwin`:
+ Orange.widgets.utils.save.owsavebase.QFileDialog: null
+ aa (*.a): null
+ bb (*.b): null
+ aa (*.a);;bb (*.b): null
+ __main__: null
+widgets/data/tests/test_owselectbydataindex.py:
+ class `TestOWSelectSubset`:
+ def `test_subset`:
+ iris: null
+ def `test_non_matching`:
+ iris: null
+ def `test_annotated`:
+ iris: null
+ No: Ne
+ Yes: Da
+ def `test_subset_nosubset`:
+ iris: null
+ titanic: null
+widgets/data/tests/test_owselectcolumns.py:
+ c: null
+ d: null
+ class `TestSelectAttributesDomainContextHandler`:
+ def `setUp`:
+ c1: null
+ d1: null
+ abc: null
+ d2: null
+ def: null
+ d3: null
+ ghi: null
+ c2: null
+ d4: null
+ jkl: null
+ def `test_open_context`:
+ d1: null
+ available: null
+ d2: null
+ meta: null
+ c1: null
+ attribute: null
+ d3: null
+ d4: null
+ c2: null
+ class: null
+ def `test_open_context_with_imperfect_match`:
+ d1: null
+ attribute: null
+ m2: null
+ meta: null
+ available: null
+ d2: null
+ c1: null
+ d6: null
+ d7: null
+ c2: null
+ class: null
+ class `TestModel`:
+ def `test_drop_mime`:
+ iris: null
+ def `test_flags`:
+ X: null
+ class `TestOWSelectAttributes`:
+ def `assertVariableCountsEqual`:
+ {name} ({nattrs}): null
+ def `test_multiple_target_variable`:
+ iris: null
+ def `test_input_features`:
+ zoo: null
+ def `test_input_features_by_name`:
+ zoo: null
+ def `test_input_features_same_domain`:
+ zoo: null
+ def `test_input_features_sub_domain`:
+ zoo: null
+ def `test_input_features_by_name_sub_domain`:
+ zoo: null
+ def `test_input_features_diff_domain`:
+ zoo: null
+ iris: null
+ def `test_input_features_no_data`:
+ zoo: null
+ def `test_input_combinations`:
+ iris: null
+ def `test_input_features_from_rank`:
+ iris: null
+ def `test_use_features_checked`:
+ iris: null
+ def `test_used_attrs_supported_types`:
+ zoo: null
+ def `_drag_enter_event`:
+ _items: null
+ def `test_move_rows`:
+ iris: null
+ def `test_drag_drop_move_rows`:
+ iris: null
+ exec: null
+ def `test_domain_new_feature`:
+ iris: null
+ a: null
+ def `test_select_new_features`:
+ iris: null
+ def `test_unselect_new_features`:
+ iris: null
+ __main__: null
+widgets/data/tests/test_owselectrows.py:
+ 5.4: null
+ 6.0: null
+ aardwark: null
+ cat: null
+ aa: null
+ ark: null
+ class `TestOWSelectRows`:
+ def `test_filter_cont`:
+ iris: null
+ def `test_filter_str`:
+ zoo: null
+ def `test_filter_disc`:
+ datasets/lenses.tab: null
+ def `test_filter_time`:
+ datasets/cyber-security-breaches.tab: null
+ breach_start: null
+ def `test_continuous_filter_with_c_locale`:
+ iris: null
+ is below: je manj kot
+ 5.2: null
+ 5,2: null
+ 52: null
+ def `test_continuous_filter_with_sl_SI_locale`:
+ iris: null
+ is below: je manj kot
+ 5,2: null
+ 5.2: null
+ 52: null
+ def `test_all_numeric_filter_with_c_locale_from_context`:
+ iris: null
+ All numeric variables: Vse številske spremenljivke
+ 3.14: null
+ def `test_all_numeric_filter_with_sl_SI_locale`:
+ iris: null
+ All numeric variables: Vse številske spremenljivke
+ 3,14: null
+ def `test_stores_settings_in_invariant_locale`:
+ iris: null
+ is below: je manj kot
+ 5,2: null
+ conditions: null
+ def `test_store_all_numeric_filter_with_c_locale_to_context`:
+ iris: null
+ All numeric variables: Vse številske spremenljivke
+ equal: so
+ 3.14: null
+ conditions: null
+ def `test_store_all_numeric_filter_with_sl_SI_locale_to_context`:
+ iris: null
+ All numeric variables: Vse številske spremenljivke
+ equal: so
+ 3,14: null
+ conditions: null
+ def `test_restores_continuous_filter_in_c_locale`:
+ iris: null
+ sepal length: null
+ 5.2: null
+ def `test_restores_continuous_filter_in_sl_SI_locale`:
+ iris: null
+ sepal length: null
+ 5.2: null
+ 5,2: null
+ def `test_partial_matches`:
+ iris: null
+ 5.2: null
+ def `test_partial_match_values`:
+ iris: null
+ def `test_partial_matches_with_missing_vars`:
+ iris: null
+ 5.2: null
+ 4.2: null
+ def `test_load_settings`:
+ iris: null
+ is below: je manj kot
+ 5.2: null
+ is at most: je največ
+ 4: null
+ sepal width: null
+ sepal length: null
+ def `test_is_defined_on_continuous_variable`:
+ testing_dataset_cls: null
+ c2: null
+ is defined: je znan
+ def `test_output_filter`:
+ iris: null
+ is below: je manj kot
+ -1: null
+ 10: null
+ def `test_annotated_data`:
+ iris: null
+ is: je
+ Iris-setosa: null
+ def `test_change_var_type`:
+ iris: null
+ is below: je manj kot
+ 5.2: null
+ def `test_keep_operator`:
+ heart_disease: null
+ age: null
+ is not: ni
+ 42: null
+ chest pain: null
+ is below: je manj kot
+ is: je
+ def `test_calendar_dates`:
+ datasets/cyber-security-breaches.tab: null
+ Date_Posted_or_Updated: null
+ is below: je manj kot
+ is greater than: je več kot
+ equals: je
+ is between: je med
+ def `test_add_all`:
+ question: null
+ iris: null
+ def `test_add_all_cancel`:
+ question: null
+ iris: null
+ def `test_report`:
+ question: null
+ zoo: null
+ All numeric variables: Vse številske spremenljivke
+ equal: so
+ 42: null
+ is defined: je znan
+ is one of: je eden izmed
+ def `test_migration_to_version_1`:
+ iris: null
+ petal length: null
+ def `test_purge_discretized`:
+ housing: null
+ MEDV: null
+ def `test_meta_setting`:
+ iris: null
+ def `test_one_of_click`:
+ zoo: null
+ is one of: je eden izmed
+ def `widget_with_context`:
+ conditions: null
+ def `__set_value`:
+ Unsupported widget {}: null
+ __main__: null
+widgets/data/tests/test_owsql.py:
+ class `TestOWSqlConnected`:
+ def `setUpDB`:
+ iris: null
+ def `test_connection`:
+ postgres: null
+ Select a table: null
+ Custom SQL: null
+ def `test_output_iris`:
+ postgres: null
+ iris: null
+ def `set_connection_params`:
+ port: null
+ :: null
+ host: null
+ database: null
+ user: null
+ password: null
+ class `TestOWSql`:
+ def `test_missing_extension`:
+ Orange.widgets.data.owsql.Backend: null
+ PostgreSQL: null
+ missing extension: null
+ host: null
+ port: null
+ database: null
+ DB: null
+ schema: null
+ username: null
+ password: null
+ def `test_non_postgres`:
+ Orange.widgets.data.owsql.Backend: null
+ database: null
+ host: null
+ port: null
+ DB: null
+ schema: null
+ username: null
+ password: null
+ def `test_restore_table`:
+ Orange.widgets.data.owsql.Table: null
+ iris: null
+ Orange.widgets.data.owsql.SqlTable: null
+ Orange.widgets.data.owsql.Backend: null
+ database: null
+ a: null
+ b: null
+ c: null
+ host: null
+ port: null
+ DB: null
+ schema: null
+ username: null
+ password: null
+ table: null
+ def `test_selected_backend`:
+ Orange.data.sql.backend.base.Backend.available_backends: null
+ B1: null
+ B2: null
+ selected_backend: null
+ B3: null
+ __main__: null
+widgets/data/tests/test_owtable.py:
+ class `TestOWDataTable`:
+ def `setUpClass`:
+ Data: null
+ def `test_reset_select`:
+ heart_disease: null
+ def `test_attrs_appear_in_corner_text`:
+ c: null
+ foo: null
+ a: null
+ bar: null
+ baz: null
+ b: null
+ \na\nb\nc: null
+ def `test_unconditional_commit_on_new_signal`:
+ now: null
+ def `test_summary`:
+ No data on input: Ni vhodnih podatkov
+ No data on output: Ni izhodnih podatkov
+ zoo: null
+ {len(data)}: null
+ def `test_info`:
+ No data.: Ni podatkov.
+ class `TestOWDataTableSQL`:
+ def `test_input_data`:
+ postgres: null
+ mssql: null
+ def `test_input_data_empty`:
+ no data output: null
+ def `test_data_model`:
+ approx_len messes up row count: null
+ def `test_unconditional_commit_on_new_signal`:
+ postgres: null
+ mssql: null
+ def `test_reset_select`:
+ postgres: null
+ mssql: null
+ def `test_attrs_appear_in_corner_text`:
+ postgres: null
+ mssql: null
+ def `test_pending_selection`:
+ no data output: null
+ def `test_sorting`:
+ sorting not implemented: null
+ def `test_summary`:
+ postgres: null
+ mssql: null
+ def `test_info`:
+ does nothing: null
+ def `test_show_distributions`:
+ postgres: null
+ mssql: null
+ def `test_whole_rows`:
+ no data output: null
+ def `test_show_attribute_labels`:
+ postgres: null
+ mssql: null
+ def `test_deprecate_multiple_inputs`:
+ postgres: null
+ mssql: null
+ __main__: null
+widgets/data/tests/test_owtransform.py:
+ class `TestOWTransform`:
+ def `setUp`:
+ iris: null
+ __main__: null
+widgets/data/tests/test_owtranspose.py:
+ class `TestRunner`:
+ def `setUp`:
+ zoo: null
+ def `test_run`:
+ Feature: null
+ def `test_run_var`:
+ name: null
+ Feature: null
+ def `test_run_name`:
+ Foo: null
+ def `test_run_callback`:
+ Feature: null
+ class `TestOWTranspose`:
+ def `setUp`:
+ zoo: null
+ def `test_feature_type`:
+ datasets/test_asn_data_working.csv: null
+ Feature: Spremenljivka
+ Foo: null
+ 'Foo ': null
+ def `test_remove_redundant_instance`:
+ iris: null
+ petal length: null
+ def `test_all_whitespace`:
+ ' ': null
+ def `test_error`:
+ Orange.data.Table.transpose: null
+ foo: null
+ def `test_feature_names_from_cont_vars`:
+ iris: null
+ 0.2 (1): null
+ 0.2 (2): null
+ 0.2 (3): null
+ 0.2 (4): null
+ 0.2 (5): null
+ 0.4 (1): null
+ 0.3 (1): null
+ 0.2 (6): null
+ 0.2 (7): null
+ 0.1 (1): null
+ def `test_unconditional_commit_on_new_signal`:
+ now: null
+ __main__: null
+widgets/data/tests/test_owunique.py:
+ class `TestOWUnique`:
+ def `setUp`:
+ a: null
+ b: null
+ c: null
+ abcd: null
+ e: null
+ fg: null
+ def `test_compute`:
+ Last instance: Zadnji primer
+ First instance: Prvi primer
+ Middle instance: Srednji primer
+ Discard non-unique instances: Zavrzi skupine z več primeri
+ def `test_use_all_when_non_selected`:
+ First instance: Prvi primer
+ def `test_no_output_on_no_unique`:
+ Discard non-unique instances: Zavrzi skupine z več primeri
+ __main__: null
+widgets/data/utils/pythoneditor/tests/test_api.py:
+ class `Selection`:
+ def `test_resetSelection`:
+ asdf fdsa: null
+ def `test_setSelection`:
+ asdf fdsa: null
+ f fd: null
+ def `test_selected_multiline_text`:
+ a\nb: null
+ class `ReplaceText`:
+ def `test_replaceText1`:
+ 123456789: null
+ xyz: null
+ 123xyz89: null
+ def `test_replaceText2`:
+ 12345\n67890\nabcde: null
+ Z: null
+ 12345\n6789Zbcde: null
+ def `test_replaceText3`:
+ 12345\n67890\nabcde: null
+ Z: null
+ Z45\n67890\nabcde: null
+ 12345\n67890\nabcdZ: null
+ Z12345\n67890\nabcde: null
+ 12345\n67890\nabcdeZ: null
+ def `test_replaceText4`:
+ 12345\n67890\nabcde: null
+ XYZ: null
+ 12XYZ345\n67890\nabcde: null
+ def `test_replaceText5`:
+ 12345\n67890\nabcde: null
+ Z: null
+ class `InsertText`:
+ def `test_1`:
+ 123456789: null
+ xyz: null
+ 123xyz456789: null
+ def `test_2`:
+ 12345\n67890\nabcde: null
+ Z: null
+ 12345\n6789Z0\nabcde: null
+ def `test_3`:
+ 12345\n67890\nabcde: null
+ Z: null
+ Z12345\n67890\nabcde: null
+ 12345\n67890\nabcdeZ: null
+ class `IsCodeOrComment`:
+ def `test_1`:
+ a + b # comment: null
+ def `test_2`:
+ '#': null
+ class `ToggleCommentTest`:
+ def `test_single_line`:
+ a = 2: null
+ '# a = 2\n': null
+ a = 2\n: null
+ def `test_two_lines`:
+ a = 2\nb = 3: null
+ '# a = 2\n# b = 3\n': null
+ class `Signals`:
+ def `test_eol_changed`:
+ \r\n: null
+ class `Lines`:
+ def `setUp`:
+ abcd\nefgh\nklmn\nopqr: null
+ def `test_accessByIndex`:
+ abcd: null
+ efgh: null
+ opqr: null
+ def `test_modifyByIndex`:
+ new text: null
+ abcd\nefgh\nnew text\nopqr: null
+ def `test_getSlice`:
+ abcd: null
+ efgh: null
+ opqr: null
+ klmn: null
+ def `test_setSlice_1`:
+ xyz: null
+ xyz\nefgh\nklmn\nopqr: null
+ def `test_setSlice_2`:
+ xyz: null
+ abcd\nxyz\nklmn\nopqr: null
+ def `test_setSlice_3`:
+ xyz: null
+ xyz\nefgh\nklmn\nopqr: null
+ def `test_setSlice_4`:
+ st: null
+ uv: null
+ wx: null
+ z: null
+ st\nuv\nwx\nz: null
+ def `test_setSlice_5`:
+ st: null
+ uv: null
+ wx: null
+ z: null
+ st\nuv\nwx\nz: null
+ def `test_setSlice_6`:
+ st: null
+ uv: null
+ abcd\nst\nuv\nopqr: null
+ def `test_setSlice_61`:
+ st: null
+ uv: null
+ wx: null
+ z: null
+ def `test_setSlice_7`:
+ st: null
+ uv: null
+ abcd\nst\nuv\nopqr: null
+ def `test_setSlice_8`:
+ st: null
+ uv: null
+ abcd\nst\nuv\nopqr: null
+ def `test_setSlice_9`:
+ st: null
+ class `LinesWin`:
+ def `setUp`:
+ \r\n: null
+ __main__: null
+widgets/data/utils/pythoneditor/tests/test_bracket_highlighter.py:
+ class `Test`:
+ def `_verify`:
+ Invalid color: null
+ def `test_1`:
+ func(param,: null
+ ' "text ( param"))': null
+ __main__: null
+widgets/data/utils/pythoneditor/tests/test_draw_whitespace.py:
+ class `Test`:
+ def `_ws_test`:
+ Failed params:\n\tany {}\n\tincorrect {}\n\ttabs {}\n\twidth {}: null
+ def `_verify`:
+ 1: null
+ Item {} is not True:\n\t{}: null
+ 0: null
+ Item {} is not False:\n\t{}: null
+ ' ': null
+ def `test_1`:
+ ' m xyz\t ': null
+ ' 0 00011': null
+ def `test_2`:
+ \txyz\t: null
+ 10001: null
+ def `test_3`:
+ ' 2 3 5': null
+ 111100000000000: null
+ def `test_4`:
+ ' 1 1 2 3 5\t': null
+ 100011011101111101: null
+ __main__: null
+widgets/data/utils/pythoneditor/tests/test_edit.py:
+ class `Test`:
+ def `test_overwrite_edit`:
+ abcd: null
+ stu: null
+ stuabcd: null
+ xy: null
+ stuxycd: null
+ z: null
+ stuxyzcd: null
+ def `test_overwrite_backspace`:
+ abcd: null
+ a d: null
+ def `test_overwrite_undo`:
+ abcd: null
+ axxd: null
+ def `test_home1`:
+ ' xx': null
+ def `test_home2`:
+ '\n\n ': null
+ x: null
+ __main__: null
+widgets/data/utils/pythoneditor/tests/test_indent.py:
+ class `Test`:
+ def `test_1`:
+ ab\ncd: null
+ ab\n\tcd: null
+ ab\n cd: null
+ def `test_2`:
+ ab\n\t\tcd: null
+ ab\n\tcd: null
+ ab\ncd: null
+ def `test_3`:
+ ab\n cd: null
+ ab\n cd: null
+ ab\ncd: null
+ def `test_4`:
+ ' ab\n cd': null
+ ' ab\n cd': null
+ def `test_4b`:
+ ab\ncd\nef: null
+ \tab\ncd\nef: null
+ def `test_5`:
+ ' ab\n cd': null
+ ' ab\n cd': null
+ def `test_6`:
+ ' \t \tab': null
+ ' \t ab': null
+ ' \tab': null
+ ' ab': null
+ ab: null
+ def `test_7`:
+ def main():: null
+ return 7: null
+ __main__: null
+widgets/data/utils/pythoneditor/tests/test_rectangular_selection.py:
+ class `_Test`:
+ def `test_real_to_visible`:
+ abcdfg: null
+ \tab\tcde\t: null
+ def `test_visible_to_real`:
+ abcdfg: null
+ \tab\tcde\t: null
+ def `test_basic`:
+ abcd\nef\nghkl\nmnop: null
+ ad\ne\ngl\nmnop: null
+ def `test_reset_by_move`:
+ abcd\nef\nghkl\nmnop: null
+ abcd\nef\ngkl\nmnop: null
+ def `test_reset_by_edit`:
+ abcd\nef\nghkl\nmnop: null
+ x: null
+ def `test_with_tabs`:
+ abcdefghhhhh\n\tklm\n\t\txyz: null
+ abcdefhh\n\tkl\n\t\tz: null
+ abcdefh\n\tkl\n\t\t: null
+ abcdefhhh\n\tkl\n\t\tyz: null
+ def `test_delete`:
+ this is long\nshort\nthis is long: null
+ 'this is \nshort\nthis is ': null
+ def `test_copy_paste`:
+ xx 123 yy\n: null
+ xx 456 yy\n: null
+ xx 789 yy\n: null
+ \n: null
+ asdfghijlmn\n: null
+ x\t\n: null
+ \t\t\n: null
+ end\n: null
+ xx 123 yy\nxx 456 yy\nxx 789 yy\n\nasdfghijlm123n\nx\t 456\n\t\t 789\n\t\t\nend\n: null
+ def `test_copy_paste_utf8`:
+ фыва: null
+ фыва фыв: null
+ def `test_paste_replace_selection`:
+ asdf: null
+ asdasdf: null
+ def `test_paste_replace_rectangular_selection`:
+ asdf: null
+ asasdff: null
+ def `test_paste_new_lines`:
+ a\nb\nc\nd: null
+ x\ny: null
+ x\nya\n b\n c\n d: null
+ def `test_cut`:
+ asdf: null
+ def `test_cut_paste`:
+ abcd\nefgh\nklmn: null
+ def `test_warning`:
+ a\n: null
+ Rectangular selection area is too big: null
+ __main__: null
+widgets/data/utils/pythoneditor/tests/test_vim.py:
+ class `_Test`:
+ def `setUp`:
+ The quick brown fox: null
+ jumps over the: null
+ lazy dog: null
+ back: null
+ normal: null
+ def `click`:
+ $%^<>: null
+ class `Modes`:
+ def `test_01`:
+ normal: null
+ i123: null
+ insert: null
+ i4: null
+ 1234The quick brown fox: null
+ def `test_02`:
+ A: null
+ insert: null
+ XY: null
+ lazy dogXY: null
+ def `test_03`:
+ a: null
+ insert: null
+ XY: null
+ lXYazy dog: null
+ def `test_04`:
+ normal: null
+ d: null
+ w: null
+ def `test_05`:
+ normal: null
+ R: null
+ replace: null
+ asdf: null
+ asdfquick brown fox: null
+ insert: null
+ def `test_05a`:
+ $: null
+ R: null
+ asdf: null
+ The quick brown foxasdf: null
+ def `test_06`:
+ normal: null
+ v: null
+ visual: null
+ i: null
+ insert: null
+ def `test_07`:
+ visual: null
+ def `test_08`:
+ v: null
+ kkk: null
+ V: null
+ The quick brown fox: null
+ visual lines: null
+ def `test_09`:
+ V: null
+ v: null
+ The quick brown fox: null
+ visual: null
+ def `test_10`:
+ ' indented line': null
+ j8lI: null
+ Z: null
+ ' Zindented line': null
+ class `Move`:
+ def `test_01`:
+ ll: null
+ jjj: null
+ h: null
+ k: null
+ def `test_02`:
+ word, comma, word: null
+ w: null
+ def `test_03`:
+ ' word, comma, word': null
+ e: null
+ def `test_04`:
+ $: null
+ def `test_05`:
+ 0: null
+ def `test_06`:
+ G: null
+ def `test_07`:
+ gg: null
+ def `test_08`:
+ b: null
+ def `test_09`:
+ (asdf fdsa) xxx: null
+ %: null
+ def `test_10`:
+ ' indented line': null
+ ^: null
+ def `test_11`:
+ fv: null
+ def `test_12`:
+ Fv: null
+ def `test_13`:
+ tv: null
+ def `test_14`:
+ Tv: null
+ def `test_15`:
+ dff: null
+ ox: null
+ def `test_16`:
+ asdfk.xx.z asdfk.xx.z asdfk.xx.z asdfk.xx.z: null
+ e: null
+ E: null
+ def `test_17`:
+ asdfk.xx.z asdfk.xx.z asdfk.xx.z asdfk.xx.z: null
+ W: null
+ def `test_18`:
+ asdfk.xx.z asdfk.xx.z asdfk.xx.z asdfk.xx.z: null
+ B: null
+ def `test_19`:
+ ' indented line': null
+ ' more indented line': null
+ class `Del`:
+ def `test_01a`:
+ xxxxx: null
+ The brown fox: null
+ k: null
+ def `test_01b`:
+ 5x: null
+ The brown fox: null
+ quick: null
+ def `test_02`:
+ dl: null
+ jmps over the: null
+ dh: null
+ mps over the: null
+ def `test_03`:
+ dj: null
+ lazy dog: null
+ back: null
+ k: null
+ def `test_04`:
+ dk: null
+ The quick brown fox: null
+ back: null
+ jumps over the: null
+ lazy dog: null
+ def `test_05`:
+ 3dw: null
+ fox: null
+ 'The quick brown ': null
+ def `test_06`:
+ dd: null
+ The quick brown fox: null
+ lazy dog: null
+ back: null
+ def `test_07`:
+ dG: null
+ The quick brown fox: null
+ jumps over the: null
+ def `test_08`:
+ dgg: null
+ lazy dog: null
+ back: null
+ def `test_09`:
+ llX: null
+ Te quick brown fox: null
+ def `test_10`:
+ jll: null
+ 2D: null
+ The quick brown fox: null
+ ju: null
+ back: null
+ class `Edit`:
+ def `test_01`:
+ ddu: null
+ def `test_02`:
+ lllCpig: null
+ Thepig: null
+ def `test_03`:
+ j4sz: null
+ zs over the: null
+ def `test_04`:
+ rZ: null
+ The Zuick brown fox: null
+ rW: null
+ The Wuick brown fox: null
+ def `test_05`:
+ c2e: null
+ asdf: null
+ asdf brown fox: null
+ def `test_06`:
+ ' indented line': null
+ ' next indented line': null
+ o: null
+ asdf: null
+ ' asdf': null
+ def `test_07`:
+ ' indented line': null
+ ' next indented line': null
+ j: null
+ O: null
+ asdf: null
+ ' asdf': null
+ def `test_08`:
+ ' indented line': null
+ ' next indented line': null
+ ljS: null
+ xyz: null
+ ' xyz': null
+ def `test_09`:
+ (asdf fdsa) xxx: null
+ d%: null
+ ' xxx': null
+ def `test_10`:
+ 2J: null
+ The quick brown fox jumps over the lazy dog: null
+ back: null
+ class `Indent`:
+ def `test_01`:
+ >2j: null
+ ' The quick brown fox': null
+ ' jumps over the': null
+ ' lazy dog': null
+ back: null
+ >: null
+ ' The quick brown fox': null
+ <<: null
+ ' The quick brown fox': null
+ def `test_03`:
+ 'i ': null
+ j: null
+ =j: null
+ ' The quick brown fox': null
+ ' jumps over the': null
+ ' lazy dog': null
+ back: null
+ def `test_04`:
+ 'i ': null
+ j: null
+ ==: null
+ ' The quick brown fox': null
+ ' jumps over the': null
+ lazy dog: null
+ back: null
+ def `test_11`:
+ v2>: null
+ ' The quick brown fox': null
+ jumps over the: null
+ v<: null
+ ' The quick brown fox': null
+ def `test_12`:
+ 'i ': null
+ j: null
+ Vj=: null
+ ' The quick brown fox': null
+ ' jumps over the': null
+ ' lazy dog': null
+ back: null
+ class `CopyPaste`:
+ def `test_02`:
+ 5x: null
+ The brown fox: null
+ p: null
+ The quickbrown fox: null
+ def `test_03`:
+ 2dd: null
+ The quick brown fox: null
+ back: null
+ kkk: null
+ p: null
+ jumps over the: null
+ lazy dog: null
+ def `test_04`:
+ 2dd: null
+ The quick brown fox: null
+ back: null
+ P: null
+ jumps over the: null
+ lazy dog: null
+ def `test_05`:
+ y2y: null
+ jll: null
+ p: null
+ The quick brown fox: null
+ jumps over the: null
+ lazy dog: null
+ back: null
+ def `test_06`:
+ 2wYo: null
+ P: null
+ brown fox: null
+ def `test_08`:
+ y2w: null
+ P: null
+ The quick The quick brown fox: null
+ class `Visual`:
+ def `test_01`:
+ v: null
+ visual: null
+ 2w: null
+ 'The quick ': null
+ x: null
+ brown fox: null
+ normal: null
+ def `test_02`:
+ vllA: null
+ 'asdf ': null
+ The asdf quick brown fox: null
+ def `test_03`:
+ v8l: null
+ rz: null
+ The quick brown zzz: null
+ zzzzz over the: null
+ def `test_04`:
+ vjl: null
+ R: null
+ Z: null
+ lazy dog: null
+ back: null
+ def `test_05`:
+ vjl: null
+ u: null
+ def `test_06`:
+ ve: null
+ y: null
+ p: null
+ The quick brown quick: null
+ def `test_07`:
+ vey: null
+ ww: null
+ vep: null
+ The quick The fox: null
+ def `test_08`:
+ w: null
+ vec: null
+ slow: null
+ The slow brown fox: null
+ def `test_09`:
+ jvlX: null
+ The quick brown fox: null
+ lazy dog: null
+ back: null
+ u: null
+ jumps over the: null
+ vjD: null
+ def `test_10`:
+ vfo: null
+ The quick bro: null
+ def `test_11`:
+ jvjJ: null
+ The quick brown fox: null
+ jumps over the lazy dog: null
+ back: null
+ class `VisualLines`:
+ def `test_01`:
+ V: null
+ visual lines: null
+ x: null
+ p: null
+ jumps over the: null
+ The quick brown fox: null
+ lazy dog: null
+ back: null
+ normal: null
+ def `test_02`:
+ Vy: null
+ j: null
+ Vp: null
+ The quick brown fox: null
+ lazy dog: null
+ def `test_06`:
+ V: null
+ y: null
+ p: null
+ The quick brown fox: null
+ jumps over the: null
+ def `test_07`:
+ Vc: null
+ slow: null
+ class `Repeat`:
+ def `test_01`:
+ o: null
+ j2.: null
+ The quick brown fox: null
+ jumps over the: null
+ lazy dog: null
+ back: null
+ def `test_02`:
+ 2o: null
+ j.: null
+ The quick brown fox: null
+ jumps over the: null
+ lazy dog: null
+ back: null
+ def `test_03`:
+ O: null
+ 2j2.: null
+ The quick brown fox: null
+ jumps over the: null
+ lazy dog: null
+ back: null
+ def `test_04`:
+ ylp.: null
+ TTThe quick brown fox: null
+ def `test_05`:
+ x...: null
+ quick brown fox: null
+ def `test_06`:
+ Dj.: null
+ lazy dog: null
+ back: null
+ def `test_07`:
+ dw: null
+ j0.: null
+ quick brown fox: null
+ over the: null
+ lazy dog: null
+ back: null
+ def `test_08`:
+ one more: null
+ Vjx: null
+ .: null
+ def `test_09`:
+ one more: null
+ vjX: null
+ .: null
+ def `test_10`:
+ one more: null
+ Vj>: null
+ 3j: null
+ .: null
+ ' The quick brown fox': null
+ ' jumps over the': null
+ lazy dog: null
+ ' back': null
+ ' one more': null
+ __main__: null
+widgets/data/utils/pythoneditor/tests/test_indenter/indenttest.py:
+ ..: null
+ tests: null
+ class `IndentTest`:
+ def `setUp`:
+ INDENT_WIDTH: null
+ def `setOrigin`:
+ \n: null
+ def `verifyExpected`:
+ \n: null
+ def `writeCursorPosition`:
+ (%d,%d): null
+ def `writeln`:
+ \n: null
+widgets/data/utils/pythoneditor/tests/test_indenter/test_python.py:
+ ..: null
+ class `Test`:
+ Python: null
+ def `test_dedentReturn`:
+ def some_function():: null
+ ' return': null
+ pass: null
+ def `test_dedentContinue`:
+ while True:: null
+ ' continue': null
+ pass: null
+ def `test_keepIndent2`:
+ class my_class():: null
+ ' def my_fun():': null
+ ' print "Foo"': null
+ ' print 3': null
+ ' pass': null
+ pass: null
+ def `test_keepIndent4`:
+ def some_function():: null
+ ' pass': null
+ pass: null
+ def `test_dedentRaise`:
+ try:: null
+ ' raise': null
+ except:: null
+ def `test_indentColon1`:
+ def some_function(param, param2):: null
+ ' pass': null
+ pass: null
+ def `test_indentColon2`:
+ def some_function(1,: null
+ ' 2):': null
+ ' pass': null
+ pass: null
+ def `test_indentColon3`:
+ ' a = {1:': null
+ ' x': null
+ x: null
+ def `test_dedentPass`:
+ def some_function():: null
+ ' pass': null
+ pass: null
+ def `test_dedentBreak`:
+ def some_function():: null
+ ' return': null
+ pass: null
+ def `test_keepIndent3`:
+ while True:: null
+ ' returnFunc()': null
+ ' myVar = 3': null
+ ' pass': null
+ pass: null
+ def `test_keepIndent1`:
+ def some_function(param, param2):: null
+ ' a = 5': null
+ ' b = 7': null
+ ' pass': null
+ pass: null
+ def `test_autoIndentAfterEmpty`:
+ while True:: null
+ ' returnFunc()': null
+ ' myVar = 3': null
+ ' x': null
+ x: null
+ def `test_hangingIndentation`:
+ ' return func (something,': null
+ ' x': null
+ x: null
+ def `test_hangingIndentation2`:
+ ' return func (': null
+ ' something,': null
+ ' x': null
+ x: null
+ def `test_hangingIndentation3`:
+ ' a = func (': null
+ ' something)': null
+ ' x': null
+ x: null
+ def `test_hangingIndentation4`:
+ ' return func(a,': null
+ ' another_func(1,': null
+ ' 2),': null
+ ' x': null
+ x: null
+ def `test_hangingIndentation5`:
+ ' return func(another_func(1,': null
+ ' 2),': null
+ ' x': null
+ x: null
+ __main__: null
+widgets/evaluate/tests/test_owcalibrationplot.py:
+ class `TestOWCalibrationPlot`:
+ def `setUp`:
+ y: null
+ a: null
+ b: null
+ datasets/lenses.tab: null
+ majority: null
+ knn-3: null
+ knn-1: null
+ ignore: null
+ .*: null
+ def `test_initialization`:
+ majority: null
+ knn-3: null
+ knn-1: null
+ '#1': null
+ '#2': null
+ a: null
+ b: null
+ def `test_regression_input_error`:
+ y: null
+ def `test_plotting_curves`:
+ Orange.widgets.evaluate.owcalibrationplot.ThresholdClassifier: null
+ Orange.widgets.evaluate.owcalibrationplot.CalibratedLearner: null
+ invalid curve for {combo.currentText()}: null
+ def `test_multiple_fold_curves`:
+ Orange.widgets.evaluate.owcalibrationplot.ThresholdClassifier: null
+ Orange.widgets.evaluate.owcalibrationplot.CalibratedLearner: null
+ def `test_change_target_class`:
+ Orange.widgets.evaluate.owcalibrationplot.ThresholdClassifier: null
+ Orange.widgets.evaluate.owcalibrationplot.CalibratedLearner: null
+ def `test_rug`:
+ def `get_rugs`:
+ connect: null
+ pairs: null
+ connect: null
+ pairs: null
+ def `test_apply_no_output`:
+ Orange.widgets.evaluate.owcalibrationplot.ThresholdClassifier: null
+ Orange.widgets.evaluate.owcalibrationplot.CalibratedLearner: null
+ abcd: null
+ each training data sample produces a different model: vsaka podmnožica učnih podatkov sestavi drug model
+ 'test results do not contain stored models - try testing on ': 'rezultati vrednotenja ne vsebujejo modelov - poskusite testirati '
+ separate data or on training data: na ločenih podatkih ali na učni množici
+ select a single model - the widget can output only one: izberite posamični model
+ cannot calibrate non-binary classes: ne morem kalibrirati ne-binarnih modelov
+ def `test_shown`:
+ {msg} not included in the message: null
+ def `test_output_threshold_classifier`:
+ Orange.widgets.evaluate.owcalibrationplot.ThresholdClassifier: null
+ def `test_output_calibrated_classifier`:
+ Orange.widgets.evaluate.owcalibrationplot.CalibratedLearner: null
+ def `test_single_class`:
+ Orange.widgets.evaluate.owcalibrationplot.ThresholdClassifier: null
+ Orange.widgets.evaluate.owcalibrationplot.CalibratedLearner: null
+ def `check_error`:
+ {error} is unexpectedly: null
+ {'' if error.is_shown() else ' not'} shown: null
+ def `test_single_class_folds`:
+ Orange.widgets.evaluate.owcalibrationplot.ThresholdClassifier: null
+ Orange.widgets.evaluate.owcalibrationplot.CalibratedLearner: null
+ def `test_warn_nan_probabilities`:
+ Orange.widgets.evaluate.owcalibrationplot.ThresholdClassifier: null
+ Orange.widgets.evaluate.owcalibrationplot.CalibratedLearner: null
+ def `test_no_folds`:
+ Orange.widgets.evaluate.owcalibrationplot.ThresholdClassifier: null
+ Orange.widgets.evaluate.owcalibrationplot.CalibratedLearner: null
+ __main__: null
+widgets/evaluate/tests/test_owconfusionmatrix.py:
+ class `TestOWConfusionMatrix`:
+ def `setUpClass`:
+ titanic: null
+ Evaluation Results: null
+ def `setUp`:
+ auto_apply: null
+ def `test_show_error_on_regression`:
+ housing: null
+ def `test_unique_output_domain`:
+ iris(Learner #1): iris(Model #1)
+ iris(Learner #1) (1): iris(Model #1) (1)
+ def `test_unique_var_names`:
+ versicolor: null
+ Selected: Izbrani podatki
+ Selected (1): Izbrani podatki (1)
+ iris(Learner #1): iris(Model #1)
+ iris(Learner #1) (1): iris(Model #1) (1)
+ p(Iris-setosa): null
+ p(Iris-virginica): null
+ p(Iris-setosa) (1): null
+ p(Iris-versicolor) (1): null
+ p(Iris-virginica) (1): null
+ __main__: null
+widgets/evaluate/tests/test_owliftcurve.py:
+ 1.1.1: null
+ Only test precision-recall with scikit-learn>=1.1.1: null
+ class `TestOWLiftCurve`:
+ def `setUpClass`:
+ datasets/lenses.tab: null
+ def `setUp`:
+ display_convex_hull: null
+ def `test_threshold_tooltip`:
+ heart_disease: null
+ Probability threshold(s):\n— 0.526\n— 0.4: praga verjetnosti:\n— 0.526\n— 0.4
+ Probability threshold(s):\n— 0.526\n— 0.2: praga verjetnosti:\n— 0.526\n— 0.2
+ Probability threshold(s):\n— 0.526\n— 1.0: praga verjetnosti:\n— 0.526\n— 1.0
+ def `test_point_tooltip`:
+ heart_disease: null
+ 'P Rate: 0.086\nLift: 1.521\nThreshold: 1.0': Delež pozitivnih: 0.086\nDvig: 1.521\nPrag: 1.0
+ def `test_output`:
+ heart_disease: null
+ def `test_visual_settings`:
+ def `test_settings`:
+ Helvetica: null
+ tickFont: null
+ Foo: null
+ pen: null
+ Fonts: null
+ Font family: null
+ Helvetica: null
+ Title: null
+ Font size: null
+ Italic: null
+ Axis title: null
+ Axis ticks: null
+ Annotations: null
+ Foo: null
+ Figure: null
+ Line: null
+ Width: null
+ Default Line: null
+ __main__: null
+widgets/evaluate/tests/test_owpredictions.py:
+ class `TestOWPredictions`:
+ def `setUp`:
+ iris: null
+ housing: null
+ def `test_no_values_target`:
+ titanic: null
+ status: null
+ first: null
+ third: null
+ age: null
+ adult: null
+ child: null
+ sex: null
+ female: null
+ male: null
+ survived: null
+ def `test_no_class_on_test`:
+ titanic: null
+ constant: null
+ def `test_bad_data`:
+ '\
+ age\tsex\tsurvived
+ d\td\td
+ \t\tclass
+ adult\tmale\tyes
+ adult\tfemale\tno
+ child\tmale\tyes
+ child\tfemale\tyes
+ ': null
+ '\
+ age\tsex\tsurvived
+ d\td\td
+ \t\tclass
+ adult\tmale\tyes
+ adult\tfemale\tno
+ child\tmale\tyes
+ child\tfemale\tunknown
+ ': null
+ def `test_continuous_class`:
+ housing: null
+ def `test_changed_class_var`:
+ heart_disease: null
+ housing: null
+ def `test_predictor_fails`:
+ titanic: null
+ foo: null
+ def `test_sort_matching`:
+ titanic: null
+ def `test_colors_continuous`:
+ housing: null
+ def `test_unique_output_domain`:
+ constant: null
+ constant (1): null
+ def `test_selection_in_setting`:
+ selection: null
+ def `test_multi_inputs`:
+ P1: null
+ P2: null
+ P3: null
+ def `_mock_predictors`:
+ def `pred`:
+ c: null
+ def `predc`:
+ c: null
+ abc: null
+ ab: null
+ cbd: null
+ e: null
+ def `test_update_prediction_delegate_discrete`:
+ c: null
+ abc: null
+ abcde: null
+ p(a, b, c): null
+ p(a, b): null
+ p(c, b, d): null
+ p(e): null
+ p(b, c): null
+ p(a): null
+ p(b): null
+ p(c): null
+ def `test_update_delegates_continuous`:
+ c: null
+ abcde: null
+ def `test_delegate_ranges`:
+ class `Model1`:
+ foo: null
+ class `Model2`:
+ bar: null
+ x: null
+ y: null
+ abcdefghijklmnopq: null
+ def `test_change_target`:
+ Orange.widgets.evaluate.owpredictions.usable_scorers: null
+ def `test_multi_target_input`:
+ var1: null
+ c1: null
+ c2: null
+ no: null
+ yes: null
+ Mockery: null
+ def `test_regression_error_delegate_ranges`:
+ x: null
+ y: null
+ def `test_migrate_shown_scores`:
+ score_table: null
+ shown_scores: null
+ Sensitivity: null
+ show_score_hints: null
+ class `SelectionModelTest`:
+ def `setUp`:
+ iris: null
+ class `PredictionsModelTest`:
+ def `test_model_header`:
+ 4: null
+ a: null
+ b: null
+ error: null
+ 5: null
+ class `TestPredictionsItemDelegate`:
+ def `test_displayText`:
+ {value:.3f}: null
+ 0.123: null
+ {value:.1f}: null
+ 0.1: null
+ {value:.1f} - {dist[2]}: null
+ 0.1 - 3: null
+ class `TestClassificationItemDelegate`:
+ def `test_format`:
+ showText: null
+ foo: null
+ bar: null
+ baz: null
+ p(foo, baz): null
+ '0.60 : - : 0.40 → baz': null
+ def `test_drawbar`:
+ foo: null
+ bar: null
+ baz: null
+ bax: null
+ class `TestRegressionItemDelegate`:
+ def `test_format`:
+ %6.3f: null
+ ' 5.130': null
+ 5.10: null
+ def `test_drawBar`:
+ %6.3f: null
+ class `TestClassificationErrorDelegate`:
+ def `test_displayText`:
+ 0.123: null
+ ?: null
+ class `TestRegressionErrorDelegate`:
+ def `test_displayText`:
+ %.5f: null
+ 0.12346: null
+ ?: null
+ ∞: null
+ -∞: null
+ def `test_drawBar`:
+ %.5f: null
+ __main__: null
+widgets/evaluate/tests/test_owrocanalysis.py:
+ class `TestROC`:
+ def `test_ROCData_from_results`:
+ iris: null
+ class `TestOWROCAnalysis`:
+ def `setUpClass`:
+ datasets/lenses.tab: null
+ mouseRateLimit: null
+ def `setUp`:
+ display_perf_line: null
+ display_def_threshold: null
+ display_convex_hull: null
+ display_convex_curve: null
+ def `test_tooltips`:
+ n: null
+ ppnpppnnpnpnpnnnpnpn: null
+ y: null
+ pn: null
+ showText: null
+ (#1) 0.900: null
+ '#2': null
+ (#1) 1.000\n(#2) 1.000: null
+ (#1) 0.600\n(#2) 0.590: null
+ def `test_target_prior`:
+ none: null
+ soft: null
+ __main__: null
+widgets/evaluate/tests/test_owtestandscore.py:
+ class `TestOWTestAndScore`:
+ def `setUp`:
+ a: null
+ b: null
+ c: null
+ y: null
+ n: null
+ def `test_basic`:
+ iris: null
+ housing: null
+ def `test_multiple_learners`:
+ iris: null
+ M1: null
+ M2: null
+ def `test_testOnTest`:
+ iris: null
+ def `test_testOnTest_incompatible_domain`:
+ iris: null
+ x: null
+ def `test_CrossValidationByFeature`:
+ iris: null
+ def `test_migrate_removes_invalid_contexts`:
+ context_settings: null
+ def `test_migrate_shown_scores`:
+ score_table: null
+ shown_scores: null
+ Sensitivity: Občutljivost
+ show_score_hints: null
+ def `test_memory_error`:
+ iris: null
+ Orange.evaluation.testing.Results.get_augmented_data: null
+ def `test_one_class_value`:
+ a: null
+ b: null
+ c: null
+ y: null
+ yyyy: null
+ Data: null
+ Learner: null
+ def `test_data_errors`:
+ def `assertErrorShown`:
+ Data: null
+ iris: null
+ Target variable has no values.: Cijna spremenljivka nima vrednosti.
+ Target variable has only one value.: Ciljna spremenljivka ima samo eno vrednost.
+ Data has no features to learn from.: Podatki nimajo spremenljivk za učenje.
+ Train dataset is empty.: Tabela učnih primerov je prazna.
+ def `test_addon_scorers`:
+ class `NewScore`:
+ new scorer: null
+ class `NewClassificationScore`:
+ new classification scorer: null
+ iris: null
+ new scorer: null
+ new classification scorer: null
+ NewRegressionScore: null
+ housing: null
+ NewScore: null
+ NewClassificationScore: null
+ def `test_target_changing`:
+ iris: null
+ Iris-setosa: null
+ Iris-versicolor: null
+ Iris-virginica: null
+ def `test_resort_on_data_change`:
+ iris: null
+ versicolor: null
+ setosa: null
+ def `test_scores_constant`:
+ yyyn: null
+ def `test_scores_log_reg_overfitted`:
+ yyyn: null
+ def `test_scores_log_reg_bad`:
+ nnny: null
+ yyyn: null
+ def `test_scores_log_reg_bad2`:
+ nnyy: null
+ yynn: null
+ def `test_scores_log_reg_advanced`:
+ yyynn: null
+ yynnn: null
+ def `test_scores_cross_validation`:
+ iris: null
+ def `test_no_stratification`:
+ zoo: null
+ iris: null
+ housing: null
+ def `test_too_many_folds`:
+ zoo: null
+ def `_set_three_majorities`:
+ iris: null
+ maja: null
+ majb: null
+ majc: null
+ def `test_comparison_requires_cv`:
+ baycomp.two_on_single: null
+ iris: null
+ def `test_comparison_requires_multiple_models`:
+ majd: null
+ def `test_comparison_bad_slots`:
+ Classification accuracy: Klasifikacijska točnost
+ def `test_comparison_bad_scores`:
+ Classification accuracy: Klasifikacijska točnost
+ compute_score: null
+ def `test_comparison_binary_score`:
+ F1: null
+ iris: null
+ compute_score: null
+ target: null
+ average: null
+ weighted: null
+ def `test_fill_table`:
+ baycomp.two_on_single: null
+ {(row + 1) / (row + col + 2):.3f}: null
+ {probs(row, col, w.rope)[0]:.3f}: null
+ {probs(row, col, w.rope)[1]:.3f}: null
+ def `test_nan_on_comparison`:
+ baycomp.two_on_single: null
+ NA: null
+ def `test_unique_output_domain`:
+ random forest: null
+ random forest (1): null
+ def `test_copy_to_clipboard`:
+ iris: null
+ \t: null
+ def `test_multi_target_input`:
+ var1: null
+ c1: null
+ c2: null
+ no: null
+ yes: null
+ Mockery: null
+ class `TestHelpers`:
+ def `test_results_one_vs_rest`:
+ datasets/lenses.tab: null
+ __main__: null
+widgets/evaluate/tests/test_utils.py:
+ class `TestUsableScorers`:
+ def `setUp`:
+ iris: null
+ housing: null
+ class `TestScoreTable`:
+ def `setUp`:
+ class `NewScore`:
+ new score: null
+ def `tearDown`:
+ NewScore: null
+ def `test_show_column_chooser`:
+ def `execmenu`:
+ F1: F1
+ Classification accuracy (CA): Klasifikacijska točnost (Točnost)
+ Area under ROC curve (AUC): Površina pod krivuljo ROC (AUC)
+ Specificity (Spec): Specifičnost (Spec)
+ new score: null
+ error in section {scorer.name}: null
+ CA: null
+ error at {k}: null
+ AUC: null
+ AnyQt.QtWidgets.QMenu.addAction: null
+ AnyQt.QtWidgets.QMenu.exec: null
+ def `test_sorting`:
+ D: null
+ C: null
+ b: null
+ A: null
+ E: null
+ AbCDE: null
+ EDCbA: null
+ CDb: null
+ bDC: null
+ CED: null
+ DEC: null
+ def `test_shown_scores_backward_compatibility`:
+ F1: null
+ AUC: null
+ new score: null
+ def `test_migration`:
+ Sensitivity: null
+ show_score_hints: null
+ __main__: null
+widgets/model/tests/test_owadaboost.py:
+ class `TestOWAdaBoost`:
+ def `setUp`:
+ auto_apply: null
+ algorithm: null
+ classification: null
+ loss: null
+ regression: null
+ learning_rate: null
+ n_estimators: null
+ random_seed: null
+ random_state: null
+ def `test_input_learner`:
+ The default base estimator should not be none: null
+ The default base estimator should support weights: null
+ The base estimator was not updated when valid learner on input: null
+ The base estimator was not reset to default when None on input: null
+ def `test_error_message_cleared_when_valid_learner_on_input`:
+ Error message was not hidden on input disconnect: null
+ 'Error message was not hidden when a valid learner appeared on ': null
+ input: null
+widgets/model/tests/test_owcalibratedlearner.py:
+ class `TestOWCalibratedLearner`:
+ def `setUp`:
+ auto_apply: null
+ heart_disease: null
+ testing_dataset_reg: null
+ Calibrated classifier: null
+ def `test_output_learner`:
+ Learner: null
+ Does not initialize the learner output: null
+ Does not send a new learner instance on `Apply`.: null
+ def `test_output_model`:
+ Data: null
+ def `test_name_changes`:
+ foo: null
+ Foo + Isotonic + CA: Foo + Izotonična + točnost
+ Foo + CA: Foo + točnost
+ Calibrated Learner: Kalibriran model
+widgets/model/tests/test_owconstant.py:
+ class `TestOWConstant`:
+ def `setUp`:
+ auto_apply: null
+widgets/model/tests/test_owcurvefit.py:
+ class `TestFunctions`:
+ def `test_functions`:
+ any: null
+ all: null
+ arctan2: null
+ copysign: null
+ fmod: null
+ gcd: null
+ hypot: null
+ isclose: null
+ ldexp: null
+ power: null
+ remainder: null
+ class `TestParameter`:
+ def `test_to_tuple`:
+ foo: null
+ def `test_repr`:
+ foo: null
+ 'Parameter(name=foo, initial=2, use_lower=True, ': null
+ lower=10, use_upper=False, upper=50): null
+ class `TestParametersWidget`:
+ def `test_add_row`:
+ p1: null
+ def `test_add_row_with_data`:
+ a: null
+ def `test_set_data`:
+ a: null
+ b: null
+ def `test_reset_data`:
+ a: null
+ def `test_clear_all`:
+ a: null
+ class `TestOWCurveFit`:
+ def `setUp`:
+ auto_apply: null
+ housing: null
+ def `__init_widget`:
+ 'p1 + ': null
+ def `test_output_model_name`:
+ Model Name: null
+ def `test_output_coefficients`:
+ coef: null
+ name: null
+ def `test_output_mixed_features`:
+ coef: null
+ name: null
+ def `test_features_combo`:
+ Select Feature: Izberite spremenljivko
+ CRIM: null
+ def `test_parameters_combo`:
+ Select Parameter: Izberite parameter
+ p1: null
+ def `test_function_combo`:
+ Select Function: Izberite funkcijo
+ abs(): null
+ def `test_expression`:
+ ' + ': null
+ gcd: null
+ 2: null
+ arctan2: null
+ copysign: null
+ fmod: null
+ hypot: null
+ isclose: null
+ ldexp: null
+ power: null
+ remainder: null
+ def `test_sanitized_expression`:
+ heart_disease: null
+ p1 + rest_SBP: null
+ def `test_discrete_expression`:
+ heart_disease: null
+ p1 + gender_female: null
+ def `test_invalid_expression`:
+ ' + ': null
+ ' 2 ': null
+ def `test_duplicated_parameter_name`:
+ p1: null
+ p2: null
+ def `test_parameter_name_in_features`:
+ p1: null
+ cls: null
+ a: null
+ def `test_no_parameter`:
+ LSTAT + 1: null
+ LSTAT + a: null
+ def `test_unused_parameter`:
+ p1 + LSTAT + p2: null
+ p1 + LSTAT: null
+ def `test_unknown_parameter`:
+ p1 + LSTAT: null
+ p2 + LSTAT: null
+ def `test_saved_parameters`:
+ a: null
+ parameters: null
+ def `test_output`:
+ p1 * exp(-p2 * LSTAT) + p3: null
+ coef: null
+ name: null
+ __main__: null
+widgets/model/tests/test_owgradientboosting.py:
+ def `create_parent`:
+ class `DummyWidget`:
+ Mock: null
+ class `TestLearnerItemModel`:
+ def `test_missing_lib`:
+ Orange.widgets.model.owgradientboosting.LearnerItemModel.LEARNERS: null
+ Gradient Boosting (catboost): null
+ catboost: null
+ class `TestGBLearnerEditor`:
+ def `test_arguments`:
+ n_estimators: null
+ learning_rate: null
+ max_depth: null
+ random_state: null
+ subsample: null
+ min_samples_split: null
+ def `test_learner_parameters`:
+ Method: null
+ Gradient Boosting (scikit-learn): null
+ Number of trees: null
+ Learning rate: null
+ Replicable training: null
+ Yes: null
+ Maximum tree depth: null
+ Fraction of training instances: null
+ Stop splitting nodes with maximum instances: null
+ def `test_default_parameters_cls`:
+ heart_disease: null
+ n_estimators: null
+ learning_rate: null
+ max_depth: null
+ subsample: null
+ min_samples_split: null
+ random_state: null
+ def `test_default_parameters_reg`:
+ housing: null
+ n_estimators: null
+ learning_rate: null
+ max_depth: null
+ subsample: null
+ min_samples_split: null
+ random_state: null
+ class `TestXGBLearnerEditor`:
+ def `test_arguments`:
+ n_estimators: null
+ learning_rate: null
+ max_depth: null
+ reg_lambda: null
+ colsample_bytree: null
+ colsample_bylevel: null
+ colsample_bynode: null
+ subsample: null
+ random_state: null
+ def `test_learner_parameters`:
+ Missing 'xgboost' package: null
+ Method: null
+ Extreme Gradient Boosting (xgboost): null
+ Number of trees: null
+ Learning rate: null
+ Replicable training: null
+ Yes: null
+ Maximum tree depth: null
+ Regularization strength: null
+ Fraction of training instances: null
+ Fraction of features for each tree: null
+ Fraction of features for each level: null
+ Fraction of features for each split: null
+ def `test_default_parameters_cls`:
+ Missing 'xgboost' package: null
+ heart_disease: null
+ learner: null
+ gradient_booster: null
+ updater: null
+ grow_colmaker: null
+ train_param: null
+ n_estimators: null
+ learning_rate: null
+ max_depth: null
+ reg_lambda: null
+ subsample: null
+ colsample_bytree: null
+ colsample_bylevel: null
+ colsample_bynode: null
+ def `test_default_parameters_reg`:
+ Missing 'xgboost' package: null
+ housing: null
+ learner: null
+ gradient_booster: null
+ updater: null
+ grow_colmaker: null
+ train_param: null
+ n_estimators: null
+ learning_rate: null
+ max_depth: null
+ reg_lambda: null
+ subsample: null
+ colsample_bytree: null
+ colsample_bylevel: null
+ colsample_bynode: null
+ class `TestXGBRFLearnerEditor`:
+ def `test_arguments`:
+ n_estimators: null
+ learning_rate: null
+ max_depth: null
+ reg_lambda: null
+ colsample_bytree: null
+ colsample_bylevel: null
+ colsample_bynode: null
+ subsample: null
+ random_state: null
+ def `test_learner_parameters`:
+ Missing 'xgboost' package: null
+ Method: null
+ Extreme Gradient Boosting Random Forest (xgboost): null
+ Number of trees: null
+ Learning rate: null
+ Replicable training: null
+ Yes: null
+ Maximum tree depth: null
+ Regularization strength: null
+ Fraction of training instances: null
+ Fraction of features for each tree: null
+ Fraction of features for each level: null
+ Fraction of features for each split: null
+ def `test_default_parameters_cls`:
+ Missing 'xgboost' package: null
+ heart_disease: null
+ learner: null
+ gradient_booster: null
+ updater: null
+ grow_colmaker: null
+ train_param: null
+ n_estimators: null
+ learning_rate: null
+ max_depth: null
+ reg_lambda: null
+ subsample: null
+ colsample_bytree: null
+ colsample_bylevel: null
+ colsample_bynode: null
+ def `test_default_parameters_reg`:
+ Missing 'xgboost' package: null
+ housing: null
+ learner: null
+ gradient_booster: null
+ updater: null
+ grow_colmaker: null
+ train_param: null
+ n_estimators: null
+ learning_rate: null
+ max_depth: null
+ reg_lambda: null
+ subsample: null
+ colsample_bytree: null
+ colsample_bylevel: null
+ colsample_bynode: null
+ class `TestCatGBLearnerEditor`:
+ def `test_arguments`:
+ n_estimators: null
+ learning_rate: null
+ max_depth: null
+ reg_lambda: null
+ colsample_bylevel: null
+ random_state: null
+ def `test_learner_parameters`:
+ Missing 'catboost' package: null
+ Method: null
+ Gradient Boosting (catboost): null
+ Number of trees: null
+ Learning rate: null
+ Replicable training: null
+ Yes: null
+ Maximum tree depth: null
+ Regularization strength: null
+ Fraction of features for each tree: null
+ def `test_default_parameters_cls`:
+ Missing 'catboost' package: null
+ heart_disease: null
+ iterations: null
+ depth: null
+ l2_leaf_reg: null
+ rsm: null
+ def `test_default_parameters_reg`:
+ Missing 'catboost' package: null
+ housing: null
+ iterations: null
+ depth: null
+ l2_leaf_reg: null
+ rsm: null
+ class `TestOWGradientBoosting`:
+ def `setUp`:
+ auto_apply: null
+ n_estimators: null
+ learning_rate: null
+ max_depth: null
+ min_samples_split: null
+ def `test_xgb_params`:
+ Missing 'xgboost' package: null
+ n_estimators: null
+ learning_rate: null
+ max_depth: null
+ reg_lambda: null
+ def `test_missing_lib`:
+ orange: null
+ xgboost: null
+ catboost: null
+ method_index: null
+ __main__: null
+widgets/model/tests/test_owknn.py:
+ class `TestOWKNNLearner`:
+ def `setUp`:
+ auto_apply: null
+ metric: null
+ weights: null
+ n_neighbors: null
+widgets/model/tests/test_owlinearregression.py:
+ class `TestOWLinearRegression`:
+ def `setUp`:
+ auto_apply: null
+widgets/model/tests/test_owloadmodel.py:
+ class `TestOWLoadModel`:
+ def `setUp`:
+ iris: null
+ .pkcls: null
+ def `test_browse_file_opens_file`:
+ AnyQt.QtWidgets.QFileDialog.getOpenFileName: null
+ *.pkcls: null
+ def `test_select_file`:
+ pickle.load: null
+ .pkcls: null
+ \\: null
+ /: null
+ def `test_load_error`:
+ AnyQt.QtWidgets.QFileDialog.getOpenFileName: null
+ *.pkcls: null
+ pickle.load: null
+ last_path: null
+ foo: null
+ def `test_no_last_path`:
+ recent_paths: null
+ def `test_open_moved_workflow`:
+ Orange.widgets.widget.OWWidget.workflowEnv: null
+ basedir: null
+ pickle.load: null
+ temp/models: null
+ models: null
+ recent_paths: null
+ \\: null
+ /: null
+ class `TestOWLoadModelDropHandler`:
+ def `test_canDropFile`:
+ test.pkcls: null
+ test.txt: null
+ def `test_parametersFromFile`:
+ test.pkcls: null
+ recent_paths: null
+ __main__: null
+widgets/model/tests/test_owlogisticregression.py:
+ class `LogisticRegressionTest`:
+ def `test_coef_table_single`:
+ titanic: null
+ def `test_coef_table_multiple`:
+ zoo: null
+ class `TestOWLogisticRegression`:
+ def `setUp`:
+ auto_apply: null
+ penalty: null
+ C: null
+ def `test_output_coefficients`:
+ Data: null
+ def `test_domain_with_more_values_than_table`:
+ iris: null
+ Data: null
+ def `test_coefficients_one_value`:
+ a: null
+ b: null
+ c: null
+ yes: null
+ no: null
+ Data: null
+ def `test_target_with_nan`:
+ iris: null
+ Data: null
+ Coefficients: null
+ def `test_class_weights`:
+ iris: null
+ Data: null
+ balanced: null
+ def `test_no_penalty`:
+ none: null
+ N/A: NN
+ l2: null
+ C=1: null
+widgets/model/tests/test_ownaivebayes.py:
+ class `TestOWNaiveBayes`:
+ def `setUp`:
+ auto_apply: null
+widgets/model/tests/test_owneuralnetwork.py:
+ class `TestOWNeuralNetwork`:
+ def `setUp`:
+ ignore: null
+ .*: null
+ auto_apply: null
+ def `test_migrate_setting`:
+ alpha_index: null
+ def `test_no_layer_warning`:
+ 10,: null
+widgets/model/tests/test_owrandomforest.py:
+ class `TestOWRandomForest`:
+ def `setUp`:
+ auto_apply: null
+ n_estimators: null
+ min_samples_split: null
+ def `test_parameters_checked`:
+ max_features: null
+ max_depth: null
+ def `test_parameters_unchecked`:
+ max_features: null
+ sqrt: null
+ random_state: null
+ max_depth: null
+ min_samples_split: null
+ def `test_class_weights`:
+ iris: null
+ Data: null
+ balanced: null
+ __main__: null
+widgets/model/tests/test_owrulesclassification.py:
+ class `TestOWRulesClassification`:
+ def `setUp`:
+ auto_apply: null
+ Evaluation measure: Ocena kvalitete pravila
+ Beam width: Širina snopa
+ Minimum rule coverage: Najmanjše število pokritih primerov
+ Maximum rule length: Največja dolžina pravila
+ def `test_sparse_data`:
+ iris: null
+ Data: null
+ def `test_out_of_memory`:
+ iris: null
+ Orange.widgets.model.owrules.CustomRuleLearner.__call__: null
+ Data: null
+ def `test_default_rule`:
+ zoo: null
+ Data: null
+widgets/model/tests/test_owsavemodel.py:
+ class `OWSaveTestBase`:
+ def `setUp`:
+ iris: null
+ __main__: null
+widgets/model/tests/test_owsgd.py:
+ class `TestOWSGD`:
+ def `setUp`:
+ ignore: null
+ .*: null
+ auto_apply: null
+ loss: null
+ classification: null
+ epsilon: null
+ regression: null
+ penalty: null
+ alpha: null
+ l1_ratio: null
+ learning_rate: null
+ eta0: null
+ power_t: null
+widgets/model/tests/test_owstack.py:
+ class `TestOWStackedLearner`:
+ def `setUp`:
+ auto_apply: null
+ iris: null
+ def `test_input_data`:
+ Data: null
+ def `test_output_learner`:
+ Learners: null
+ Learner: null
+ Does not initialize the learner output: null
+ Does not send a new learner instance on `Apply`.: null
+ def `test_output_model`:
+ Learners: null
+ Data: null
+widgets/model/tests/test_owsvm.py:
+ class `TestOWSVMClassification`:
+ def `setUp`:
+ auto_apply: null
+ C: null
+ gamma: null
+ coef0: null
+ degree: null
+ tol: null
+ max_iter: null
+ def `test_parameters_unchecked`:
+ max_iter: null
+ def `test_parameters_svm_type`:
+ nu: null
+ def `test_sparse_warning`:
+ iris: null
+ Data: null
+widgets/model/tests/test_tree.py:
+ class `TestOWClassificationTree`:
+ def `setUp`:
+ auto_apply: null
+ max_depth: null
+ min_internal: null
+ min_samples_split: null
+ min_leaf: null
+ min_samples_leaf: null
+ def `test_sparse_data_classification`:
+ iris: null
+ Data: null
+ Model: null
+ def `test_sparse_data_regression`:
+ housing: null
+ Data: null
+ Model: null
+widgets/report/tests/test_report.py:
+ def `get_owwidgets`:
+ ow: null
+ .py: null
+ {}.{}: null
+ .: null
+ 'Failed to import module: ': null
+ OW: null
+ name: null
+ send_report: null
+ Orange.widgets.data: null
+ Orange.widgets.visualize: null
+ Orange.widgets.model: null
+ class `TestReportWidgets`:
+ def `test_report_widgets_model`:
+ titanic: null
+ def `test_report_widgets_data`:
+ zoo: null
+ def `test_report_widgets_evaluate`:
+ zoo: null
+ LR l2: null
+ def `test_report_widgets_unsupervised`:
+ zoo: null
+ def `test_report_widgets_unsupervised_dist`:
+ zoo: null
+ def `test_report_widgets_visualize`:
+ zoo: null
+ def `test_report_widgets_all`:
+ pyqt5: null
+ Segfaults on PyQt5: null
+ __main__: null
+widgets/tests/test_class_values_context_handler.py:
+ x: null
+ class `TestClassValuesContextHandler`:
+ def `setUp`:
+ c1: null
+ d1: null
+ abc: null
+ d2: null
+ def: null
+ d3: null
+ ghi: null
+ c2: null
+ d4: null
+ jkl: null
+ def `test_open_context`:
+ g: null
+ h: null
+ i: null
+ u: null
+ d1: null
+ d2: null
+ def `test_open_context_with_no_match`:
+ g: null
+ h: null
+ i: null
+ u: null
+ d1: null
+ d2: null
+ a: null
+ b: null
+ c: null
+widgets/tests/test_credentials.py:
+ class `TestCredentialManager`:
+ def `setUp`:
+ Orange: null
+ def `test_credential_manager`:
+ Orange: null
+ Foo: null
+ def `test_set_password`:
+ keyring.set_password: null
+ Orange.widgets.credentials.log.exception: null
+ def `test_delete_password`:
+ keyring.delete_password: null
+ Orange.widgets.credentials.log.exception: null
+ def `test_get_password`:
+ keyring.get_password: null
+ Orange.widgets.credentials.log.exception: null
+widgets/tests/test_domain_context_handler.py:
+ x: null
+ class `TestDomainContextHandler`:
+ def `setUp`:
+ c1: null
+ d1: null
+ abc: null
+ d2: null
+ def: null
+ d3: null
+ ghi: null
+ c2: null
+ d4: null
+ jkl: null
+ def `test_encode_domain_with_match_none`:
+ c1: null
+ d1: null
+ d2: null
+ d3: null
+ c2: null
+ d4: null
+ def `test_encode_domain_with_match_class`:
+ c1: null
+ d1: null
+ d2: null
+ d3: null
+ ghi: null
+ c2: null
+ d4: null
+ def `test_encode_domain_with_match_all`:
+ c1: null
+ d1: null
+ abc: null
+ d2: null
+ def: null
+ d3: null
+ ghi: null
+ c2: null
+ d4: null
+ jkl: null
+ def `test_match_returns_1_if_everything_matches`:
+ d1: null
+ d4: null
+ def `test_match_returns_zero_on_incompatible_context`:
+ u: null
+ d1: null
+ def `test_clone_context`:
+ u: null
+ d1: null
+ c1: null
+ text: null
+ with_metas: null
+ required: null
+ def `test_open_context`:
+ u: null
+ d1: null
+ d2: null
+ def `test_open_context_with_imperfect_match`:
+ u: null
+ d1: null
+ c1: null
+ def `test_open_context_not_first_match`:
+ u: null
+ d1: null
+ c1: null
+ def `test_open_context_with_no_match`:
+ u: null
+ text: null
+ def `test_filter_value`:
+ value: null
+ def `test_filter`:
+ value: null
+ d1: null
+ c1: null
+ abcd: null
+ def `test_filter_value_dict`:
+ value: null
+ def `test_filter`:
+ value: null
+ d1: null
+ c1: null
+ abcd: null
+ def `test_backward_compatible_params`:
+ always: null
+widgets/tests/test_gui.py:
+ class `TestDoubleSpin`:
+ def `test_checked_extension`:
+ some_param: null
+ some_option: null
+ class `TestListModel`:
+ def `setUp`:
+ foo: null
+ def `test_select_callback`:
+ abc: null
+ def `test_select_callfront`:
+ abc: null
+ b: null
+ class `ComboBoxTest`:
+ def `test_set_initial_value`:
+ abc: null
+ foo: null
+ def `test_warn_value_type`:
+ Orange.widgets.gui.gui_comboBox: null
+ foo: null
+ class `TestRankModel`:
+ def `test_argsort`:
+ Bertha: null
+ daniela: null
+ ann: null
+ Cecilia: null
+widgets/tests/test_matplotlib_export.py:
+ def `add_intro`:
+ import matplotlib.pyplot as plt\n: null
+ from numpy import array\n: null
+ plt.clf(): null
+ class `TestScatterPlot`:
+ def `test_owscatterplot_ignore_empty`:
+ iris: null
+ plt.scatter: null
+ def `test_scatterplot_simple`:
+ w: null
+ plt.scatter: null
+widgets/tests/test_perfect_domain_context_handler.py:
+ x: null
+ class `TestPerfectDomainContextHandler`:
+ def `setUp`:
+ c1: null
+ d1: null
+ abc: null
+ d2: null
+ def: null
+ d3: null
+ ghi: null
+ c2: null
+ d4: null
+ jkl: null
+ def `test_encode_domain_simple`:
+ c1: null
+ d1: null
+ d2: null
+ d3: null
+ c2: null
+ d4: null
+ def `test_encode_domain_match_values`:
+ c1: null
+ d1: null
+ abc: null
+ d2: null
+ def: null
+ d3: null
+ ghi: null
+ c2: null
+ d4: null
+ jkl: null
+ def `test_encode_setting`:
+ d1: null
+ d4: null
+ class `SimpleWidget`:
+ foo: null
+widgets/tests/test_settings_handler.py:
+ class `MigrationsTestCase`:
+ def `test_migrate_str_to_variable`:
+ foo: null
+ baz: null
+ qux: null
+ quuux: null
+widgets/tests/test_widgets_outputs.py:
+ class `TestWidgetOutputs`:
+ def `test_outputs`:
+ \\n\s+self.send\("([^"]*)": null
+ .: null
+ utf-8: null
+ - {} ({}): null
+ ', ': null
+ Some widgets send to undeclared outputs:\n: null
+ \n: null
+widgets/tests/test_workflows.py:
+ def `discover_workflows`:
+ .ows: null
+ class `TestWorkflows`:
+ SKIP_EXAMPLE_WORKFLOWS: null
+ Example workflows inflate coverage: null
+ def `test_scheme_examples`:
+ workflows: null
+ rb: null
+ Old workflow '{}' could not be loaded\n'{}': null
+ def `test_examples_order`:
+ orange3: null
+ !Testname: null
+ orangecontrib.any_addon.tutorials: null
+ exampletutorials: null
+ orangecontrib.other_addon.tutorials: null
+ orange.widgets.tutorials: null
+ 000-Orange3: null
+widgets/unsupervised/tests/test_owcorrespondence.py:
+ class `TestOWCorrespondence`:
+ def `setUp`:
+ titanic: null
+ def `test_no_data`:
+ iris: null
+ def `test_data_values_in_column`:
+ a: null
+ b: null
+ t: null
+ f: null
+ c: null
+ y: null
+ n: null
+ d: null
+ k: null
+ l: null
+ z: null
+ yyyy: null
+ klkk: null
+ def `test_data_one_value_zero`:
+ a: null
+ 0: null
+ def `test_no_discrete_variables`:
+ a: null
+ iris: null
+widgets/unsupervised/tests/test_owdbscan.py:
+ class `TestOWDBSCAN`:
+ def `setUp`:
+ iris: null
+ def `test_cluster`:
+ Cluster: Gruča
+ DBSCAN Core: Jedro DBSCAN-a
+ def `test_unique_domain`:
+ Cluster: Gruča
+ Cluster (1): Gruča (1)
+ def `test_sparse_csr_data`:
+ Cluster: Gruča
+ DBSCAN Core: Jedro DBSCAN-a
+ def `test_sparse_csc_data`:
+ Cluster: Gruča
+ DBSCAN Core: Jedro DBSCAN-a
+ def `test_get_kth_distances`:
+ euclidean: null
+ def `test_titanic`:
+ titanic: null
+ def `test_missing_data`:
+ Cluster: Gruča
+ def `test_normalize_data`:
+ heart_disease: null
+ eps: null
+ min_samples: null
+ metric: null
+ euclidean: null
+ __main__: null
+widgets/unsupervised/tests/test_owdistancefile.py:
+ class `TestOWDistanceFile`:
+ def `test_non_square`:
+ xlsx_files/distances_nonsquare.xlsx: null
+ xlsx_files/distances_with_nans.xlsx: null
+ def `test_nan_to_num`:
+ xlsx_files/distances_with_nans.xlsx: null
+ class `TestOWDistanceFileDropHandler`:
+ def `test_canDropFile`:
+ test.dst: null
+ test.xlsx: null
+ test.bin: null
+ def `test_parametersFromFile`:
+ test.dst: null
+ recent_paths: null
+widgets/unsupervised/tests/test_owdistancemap.py:
+ class `TestOWDistanceMap`:
+ def `setUpClass`:
+ Distances: null
+ __main__: null
+widgets/unsupervised/tests/test_owdistancematrix.py:
+ class `TestOWDistanceMatrix`:
+ def `setUp`:
+ iris: null
+ def `test_set_distances`:
+ ab: null
+ def: null
+ def `test_context_attribute`:
+ None: null
+ Enumerate: null
+ def `test_unconditional_commit_on_new_signal`:
+ now: null
+ def `test_labels`:
+ xy: null
+ s: null
+ Bill: null
+ Cynthia: null
+ Demi: null
+ Fred: null
+ George: null
+ 9: null
+ def `test_num_meta_labels_w_nan`:
+ xy: null
+ s: null
+ a: null
+ b: null
+ 1: null
+ ?: null
+ def `test_choose_label`:
+ xyz: null
+ t: null
+ m: null
+ abc: null
+ a: null
+ b: null
+ c: null
+ def `test_non_square_labels`:
+ aa: null
+ bb: null
+ cc: null
+ dd: null
+ ee: null
+ 2: null
+ def `test_migrate_settings_v1_and_use_them`:
+ __version__: null
+ None: null
+ Enumerate: null
+ sepal length: null
+ sepal width: null
+ petal length: null
+ petal width: null
+ iris: null
+ context_settings: null
+ def `test_square_settings`:
+ ab: null
+ __main__: null
+widgets/unsupervised/tests/test_owdistances.py:
+ class `TestDistanceRunner`:
+ def `setUpClass`:
+ iris: null
+ zoo: null
+ class `TestOWDistances`:
+ def `setUp`:
+ iris: null
+ titanic: null
+ def `test_distance_combo`:
+ at {metricdef.name}: null
+ def `test_jaccard_messages`:
+ heart_disease: null
+ def `test_too_big_array`:
+ at {exc}: null
+ def `test_migrate_3_to_4`:
+ __version__: null
+ at {old} to {MetricDefs[new].name}: null
+ def `test_limit_mahalanobis`:
+ {i}: null
+ def `test_non_binary_in_metas`:
+ zoo: null
+ name: null
+ legs: null
+ __main__: null
+widgets/unsupervised/tests/test_owhierarchicalclustering.py:
+ class `TestOWHierarchicalClustering`:
+ def `setUpClass`:
+ Distances: null
+ def `_compare_selected_annotated_domains`:
+ Other: Drugo
+ def `test_annotation_settings_retrieval`:
+ Enumeration: Številčenje
+ None: Brez
+ Name: Ime
+ def `test_infinite_distances`:
+ a: null
+ b: null
+ y: null
+ yy: null
+ ignore: null
+ .*: null
+ def `test_column_distances`:
+ cluster: Gruča
+ sepal width: null
+ petal length: null
+ sepal length: null
+ petal width: null
+widgets/unsupervised/tests/test_owkmeans.py:
+ class `TestClusterTableModel`:
+ def `test_model`:
+ bad: null
+ another bad: null
+ NA: NN
+ 0.250: null
+ 4: null
+ class `TestOWKMeans`:
+ def `setUp`:
+ auto_commit: null
+ version: null
+ heart_disease: null
+ def `test_migrate_version_1_settings`:
+ auto_apply: null
+ def `test_use_cache`:
+ _compute_clustering: null
+ k: null
+ def `test_centroids_on_output`:
+ heart_disease centroids: centroidi heart_disease
+ def `test_centroids_domain_on_output`:
+ heart_disease: null
+ at attribute '{attr.name}': null
+ centroids: centroidi
+ class `KMeansFail`:
+ def `fit`:
+ n_clusters: null
+ k={} fails: null
+ def `test_optimization_fails`:
+ Orange.widgets.unsupervised.owkmeans.KMeans: null
+ set_scores: null
+ def `test_run_fails`:
+ Orange.widgets.unsupervised.owkmeans.KMeans: null
+ def `test_select_best_row`:
+ housing: null
+ error: null
+ def `test_normalize_sparse`:
+ Orange.widgets.unsupervised.owkmeans.Normalize: null
+ def `test_report`:
+ report_items: null
+ report_data: null
+ report_table: null
+ selected_row: null
+ Number of clusters: Število gruč
+ Optimization: Optimizacija
+ def `test_silhouette_column`:
+ Orange.widgets.unsupervised.owkmeans.SILHOUETTE_MAX_SAMPLES: null
+ Silhouette: Silhuete
+ def `test_do_not_recluster_on_same_data`:
+ now: null
+ def `test_correct_smart_init`:
+ _compute_clustering: null
+ init: null
+ k-means++: null
+ random: null
+ __main__: null
+widgets/unsupervised/tests/test_owlouvain.py:
+ class `TestOWLouvain`:
+ def `setUp`:
+ auto_commit: null
+ iris: null
+ def `test_clusters_ordered_by_size`:
+ Cluster: Gruča
+ def `test_empty_dataset`:
+ meta_var: null
+ def `test_do_not_recluster_on_same_data`:
+ _invalidate_output: null
+ def `test_only_recluster_when_necessary_pca_components_change`:
+ _invalidate_output: null
+ def `test_normalize_data`:
+ Orange.preprocess.Normalize: null
+ def `test_graph_output`:
+ graph: null
+ def `test_migrate_settings`:
+ context_settings: null
+ __version__: null
+ apply_pca: null
+ k_neighbors: null
+ metric_idx: null
+ normalize: null
+ pca_components: null
+ resolution: null
+widgets/unsupervised/tests/test_owmanifoldlearning.py:
+ class `TestOWManifoldLearning`:
+ def `setUpClass`:
+ iris: null
+ def `setUp`:
+ auto_apply: null
+ def `test_sparse_data`:
+ iris: null
+ def `test_metrics`:
+ t-SNE: null
+ def `test_unique_domain`:
+ MDS: null
+ C0: null
+ C0 (1): null
+ def `test_singular_matrices`:
+ a: null
+ b: null
+ c: null
+ 0: null
+ 1: null
+ def `test_out_of_memory`:
+ iris: null
+ Orange.projection.manifold.MDS.__call__: null
+ Data: null
+ def `test_unconditional_commit_on_new_signal`:
+ now: null
+widgets/unsupervised/tests/test_owmds.py:
+ class `TestOWMDS`:
+ def `setUpClass`:
+ Distances: null
+ ..: null
+ datasets: null
+ def `setUp`:
+ __version__: null
+ max_iter: null
+ initialization: null
+ slovenian-towns.dst: null
+ def `test_plot_once`:
+ heart_disease: null
+ def `test_out_of_memory`:
+ Orange.projection.MDS.__call__: null
+ sys.excepthook: null
+ def `test_other_error`:
+ Orange.projection.MDS.__call__: null
+ sys.excepthook: null
+ def `test_distances_without_data_0`:
+ Distances: null
+ def `test_distances_without_data_1`:
+ Distances: null
+ def `test_migrate_settings_from_version_1`:
+ iris: null
+ petal length: null
+ petal width: null
+ sepal length: null
+ sepal width: null
+ __version__: null
+ color_value: null
+ shape_value: null
+ size_value: null
+ Stress: Napetost
+ label_value: null
+ autocommit: null
+ connected_pairs: null
+ initialization: null
+ jitter: null
+ label_only_selected: null
+ legend_anchor: null
+ max_iter: null
+ refresh_rate: null
+ symbol_opacity: null
+ symbol_size: null
+ context_settings: null
+ savedWidgetGeometry: null
+ def `test_attr_label_from_dist_matrix_from_file`:
+ label: null
+ def `test_attr_label_from_dist_matrix_from_data`:
+ zoo: null
+ def `test_attr_label_from_data`:
+ zoo: null
+ def `test_attr_label_matrix_and_data`:
+ zoo: null
+ def `test_saved_matrix_and_data`:
+ label: null
+ def `test_matrix_columns_tooltip`:
+ sepal length: null
+ def `test_matrix_columns_default_label`:
+ labels: null
+ def `test_update_stress`:
+ {expected:.3f}: null
+ -: null
+ class `TestOWMDSRunner`:
+ def `setUpClass`:
+ iris: null
+ def `test_run_mds`:
+ Running...: Tečem...
+ __main__: null
+widgets/unsupervised/tests/test_owpca.py:
+ class `TestOWPCA`:
+ def `setUp`:
+ iris: null
+ def `test_constant_data`:
+ ignore: null
+ def `test_migrate_settings_limits_components`:
+ ncomponents: null
+ def `test_migrate_settings_changes_variance_covered_to_int`:
+ variance_covered: null
+ nan: null
+ def `test_unique_domain_components`:
+ components: komponente
+ components (1): komponente (1)
+ def `test_variance_attr`:
+ variance: null
+ def `test_all_components_continuous`:
+ datasets/cyber-security-breaches.tab: null
+ Some variables aren't of type ContinuousVariable: null
+ def `test_normalize_data`:
+ Normalize: null
+ def `test_do_not_mask_features`:
+ iris.tab: null
+ __main__: null
+widgets/unsupervised/tests/test_owsavedistances.py:
+ class `OWSaveTestBase`:
+ def `setUp`:
+ iris: null
+ def `_save_and_load`:
+ .dst: null
+ def `test_save_part_labels_as_table`:
+ rows: vrsticah
+ columns: stolpcih
+ failed when labels in {labels_in}: napaka, ko so podatkih v {labels_in}
+ def `test_save_trivial_labels`:
+ label: null
+ def `test_nonsquare`:
+ .xlsx: null
+ def `test_send_report`:
+ test.dst: null
+ __main__: null
+widgets/unsupervised/tests/test_owsom.py:
+ def `_patch_recompute_som`:
+ def `patched`:
+ winner_from_weights: null
+ _recompute_som: null
+ class `TestOWSOM`:
+ def `setUp`:
+ iris: null
+ def `test_requires_continuous`:
+ heart_disease: null
+ zoo: null
+ def `test_missing_all_data`:
+ heart_disease: null
+ def `test_single_row_data`:
+ heart_disease: null
+ def `test_sparse_data`:
+ from_table: null
+ def `test_attr_color_change`:
+ heart_disease: null
+ gender: null
+ age: null
+ def `test_get_color_column`:
+ heart_disease: null
+ rest ECG: null
+ gender: null
+ max HR: null
+ age: null
+ def `test_invalidated`:
+ heart_disease: null
+ __main__: null
+widgets/unsupervised/tests/test_owtsne.py:
+ class `TestOWtSNE`:
+ def `setUpClass`:
+ Data: null
+ def `setUp`:
+ Orange.projection.manifold.TSNE: null
+ Orange.projection.manifold.TSNEModel: null
+ multiscale: null
+ Stage name: null
+ STG1: null
+ STG2: null
+ GeneName: null
+ def `tearDown`:
+ stop called on unstarted patcher: null
+ def `test_wrong_input`:
+ STG1: null
+ def `test_input`:
+ STG1: null
+ STG2: null
+ def `test_normalize_data`:
+ Orange.preprocess.preprocess.Normalize: null
+ def `test_exaggeration_is_passed_through_properly`:
+ Orange.projection.manifold.TSNEModel.optimize: null
+ def `_check_exaggeration`:
+ exaggeration: null
+ def `test_modified_info_message_behaviour`:
+ The modified info message should be hidden by default: null
+ 'The modified info message should be hidden even after toggling ': null
+ options if no data is on input: null
+ 'The modified info message should be hidden after the widget ': null
+ computes the embedding: null
+ 'The modified info message should be hidden when reloading the ': null
+ same data set and no previous messages were shown: null
+ 'The modified info message should be shown when a setting is ': null
+ changed, but the embedding is not recomputed: null
+ housing: null
+ The information message was not cleared on new data: null
+ The information message was not cleared on no data: null
+ def `test_invalidation_flow`:
+ '#46befa': null
+ brush: null
+ '#000000': null
+ class `TestTSNERunner`:
+ def `setUpClass`:
+ iris: null
+ def `test_run`:
+ Computing PCA...: Računam PCA...
+ Preparing initialization...: Pripravljam začetno stanje...
+ Finding nearest neighbors...: Iščem najbližje sosede...
+ Running optimization...: Optimizacija teče...
+ __main__: null
+widgets/utils/localization/tests/test_localization.py:
+ class `TestEn`:
+ def `test_pl`:
+ cat: null
+ cats: null
+ cat|cats: null
+ __main__: null
+widgets/utils/save/tests/test_owsavebase.py:
+ class `SaveWidgetsTestBaseMixin`:
+ def `test_input_handler`:
+ Widget defines no inputs: null
+ widget has multiple inputs; input handler can't be tested: null
+ def `test_filters`:
+ Widget defines no filters: null
+ class `TestOWSaveBaseWithWriters`:
+ class `OWSaveMockWriter`:
+ Mock save: null
+ .csv: null
+ csv (*.csv): null
+ def `test_no_data_no_save`:
+ foo.tab: null
+ def `test_save_calls_writer`:
+ foo: null
+ def `test_base_methods`:
+ ~{os.sep}: null
+ def `assertPathEqual`:
+ win32: null
+ \\: null
+ /: null
+ def `test_open_moved_workflow`:
+ os.path.exists: null
+ /home/u/orange/a/b: null
+ /foo/bar: null
+ c.foo: null
+ Orange.widgets.widget.OWWidget.workflowEnv: null
+ a/b: null
+ /a/d: null
+ /foo/bar/c.foo: null
+ .: null
+ basedir: null
+ /home/u/orange/: null
+ /home/u/orange/a/b/c.foo: null
+ a/d: null
+ /home/u/orange/a/d: null
+ /home/u/orange/a/d/c.foo: null
+ /home/u/orange/c.foo: null
+ def `test_move_workflow`:
+ Orange.widgets.widget.OWWidget.workflowEnv: null
+ basedir: null
+ /home/u/orange/: null
+ /home/u/orange/a/b/c.foo: null
+ /home/u/orange/a/b: null
+ a/b/: null
+ c.foo: null
+ /tmp/u/work/: null
+ /tmp/u/work: null
+ /home/u/orange: null
+ /home/u/orange/a/b/: null
+ /tmp/u/work/a/b/c.foo: null
+ /tmp/u/work/a/b/: null
+ /home/u/orange/c.foo: null
+ .: null
+ def `test_migrate_pre_relative_settings`:
+ os.path.exists: null
+ /a/b: null
+ /a/b/c.foo: null
+ c.foo: null
+ def `test_save_button_label`:
+ c.foo: null
+ ' c.foo': null
+ def `test_invalid_filter`:
+ class `OWSaveNoWriter`:
+ Mock save: null
+ csv (*.csv): null
+ Unsupported format (*.foo): null
+ test.foo: null
+ /home/u/orange/a/b/c.csv: null
+ csv (*.csv): null
+ def `test_default_filter`:
+ class `OWSave`:
+ Mock save: null
+ csv (*.csv): null
+ txt (*.txt): null
+ csv (*.csv): null
+ class `TestOWSaveBase`:
+ def `setUp`:
+ class `OWSaveMockWriter`:
+ Mock save: null
+ csv (*.csv): null
+ def `test_no_data_no_save`:
+ foo.tab: null
+ def `test_base_methods`:
+ ~{os.sep}: null
+ def `test_default_filter`:
+ class `OWSave`:
+ Mock save: null
+ csv (*.csv): null
+ txt (*.txt): null
+ def `test_paths_win`:
+ win: null
+ windows path tests: null
+ class `OWSave`:
+ Mock save: null
+ csv (*.csv): null
+ txt (*.txt): null
+ C:/Temp: null
+ C:/Temp/abc.csv: null
+ C:/Temp/Project/abc.csv: null
+ C:/Temp/: null
+ c:\\Temp\\Project\\abc.csv: null
+ c:\\Temp: null
+ c:/Temp/Project\\abc.csv: null
+ basedir: null
+ C:/Folder/abc.csv: null
+ C:/Temp/Project: null
+ C:\\Temp\\Project: null
+ C:\\Temp\\abc.csv: null
+ def `test_paths_unix`:
+ class `OWSave`:
+ Mock save: null
+ csv (*.csv): null
+ txt (*.txt): null
+ /temp: null
+ /temp/abc.csv: null
+ /temp/project/abc.csv: null
+ /temp/: null
+ basedir: null
+ /folder/abc.csv: null
+ /temp/project: null
+ class `TestOWSaveUtils`:
+ def `test_replace_extension`:
+ class `OWMockSaveBase`:
+ Tab delimited (*.tab): null
+ Compressed tab delimited (*.gz.tab): null
+ Comma separated (*.csv): null
+ Compressed comma separated (*.csv.gz): null
+ Excel File (*.xlsx): null
+ /bing.bada.boom/foo.1942.tab: null
+ .tab: null
+ .tab.gz: null
+ /bing.bada.boom/foo.1942.tab.gz: null
+ .xlsx: null
+ /bing.bada.boom/foo.1942.xlsx: null
+ foo.tab.gz: null
+ foo.tab: null
+ .csv: null
+ foo.csv: null
+ .csv.gz: null
+ foo.csv.gz: null
+ /bing.bada.boom/foo: null
+ def `test_extension_from_filter`:
+ Description (*.ext): null
+ .ext: null
+ Description (*.foo.ba): null
+ .foo.ba: null
+ Description (.ext): null
+ Description (.foo.bar): null
+ .foo.bar: null
+ __main__: null
+widgets/utils/tests/test_annotated_data.py:
+ class `TestAnnotatedData`:
+ def `setUp`:
+ zoo: null
+ def `test_cascade_annotated_tables`:
+ {} ({}): null
+ def `test_cascade_annotated_tables_with_missing_middle_feature`:
+ {ANNOTATED_DATA_FEATURE_NAME} (3): null
+ {} ({}): null
+ def `test_cascade_annotated_tables_with_missing_annotated_feature`:
+ {ANNOTATED_DATA_FEATURE_NAME} (3): null
+ {} ({}): null
+ def `test_create_groups_table_include_unselected`:
+ Selected: Izbrani podatki
+ Unselected: Neizbrani
+ G1: null
+ G2: null
+ def `test_create_groups_table_set_values`:
+ this: null
+ that: null
+ rest: null
+ Selected: Izbrani podatki
+widgets/utils/tests/test_colorgradientselection.py:
+ class `TestColorGradientSelection`:
+ def `test_setModel`:
+ A: null
+ B: null
+ def `test_center_changed`:
+ 41: null
+widgets/utils/tests/test_colorpalettes.py:
+ class `PaletteTest`:
+ def `test_copy`:
+ custom: null
+ c123: null
+ def `test_qcolors`:
+ custom: null
+ c123: null
+ class `IndexPaletteTest`:
+ def `setUp`:
+ custom: null
+ c123: null
+ class `PatchedVariableTest`:
+ def `test_colors`:
+ x: null
+ def `test_palette`:
+ x: null
+ def `test_exclusive`:
+ x: null
+ colors: null
+ palette: null
+ class `PatchedDiscreteVariableTest`:
+ def `test_colors`:
+ a: null
+ F: null
+ M: null
+ colors: null
+ '#000102': null
+ '#030405': null
+ x: null
+ A: null
+ B: null
+ '#0a0b0c': null
+ '#0d0e0f': null
+ foo: null
+ d: null
+ r: null
+ e: null
+ k: null
+ C: null
+ '#0D0E0F': null
+ v{i}: null
+ def `test_colors_fallback_to_palette`:
+ a: null
+ F: null
+ M: null
+ palette: null
+ {i}: null
+ def `test_colors_default`:
+ a: null
+ F: null
+ M: null
+ {i}: null
+ colors: null
+ foo: null
+ def `test_colors_no_values`:
+ a: null
+ def `test_get_palette`:
+ a: null
+ M: null
+ F: null
+ palette: null
+ dark: null
+ colors: null
+ '#0a0b0c': null
+ '#0d0e0f': null
+ def `test_ignore_malfformed_atrtibutes`:
+ a: null
+ M: null
+ F: null
+ colors: null
+ foo: null
+ bar: null
+ class `PatchedContinuousVariableTest`:
+ def `test_colors`:
+ a: null
+ colors: null
+ '#010203': null
+ '#040506': null
+ def `test_colors_from_palette`:
+ a: null
+ rainbow_bgyr_35_85_c73: null
+ palette: null
+ diverging_bwr_40_95_c42: null
+ def `test_palette`:
+ rainbow_bgyr_35_85_c73: null
+ a: null
+ palette: null
+ from_colors: null
+ colors: null
+ '#0a0b0c': null
+ '#0d0e0f': null
+ def `test_proxy_has_separate_colors`:
+ abc: null
+ __main__: null
+widgets/utils/tests/test_combobox.py:
+ class `TestItemStyledComboBox`:
+ def `test_combobox`:
+ ...: null
+ 1: null
+ Windings: null
+ class `TestTextEditCombo`:
+ def `test_texteditcombo`:
+ !!: null
+ BB: null
+ AA: null
+ CC: null
+ AB: null
+ BC: null
+ BBA: null
+ BCA: null
+ def `test_activate_editing_finished_emit_ordering`:
+ def `activated`:
+ activated: null
+ def `finished`:
+ finished: null
+ AA: null
+ finished: null
+ activated: null
+widgets/utils/tests/test_concurrent.py:
+ class `TestTask`:
+ def `setUp`:
+ ignore: null
+ `Task` has been deprecated: null
+ `submit_task` will be deprecated: null
+widgets/utils/tests/test_concurrent_example.py:
+ class `TestOWConcurrentWidget`:
+ def `setUpClass`:
+ Data: null
+ def `test_button_no_data`:
+ Start: null
+ def `test_button_with_data`:
+ Stop: null
+ Start: null
+ def `test_button_toggle`:
+ Resume: null
+ def `test_plot_once`:
+ heart_disease: null
+ __main__: null
+widgets/utils/tests/test_distmatrixmodel.py:
+ class `TestModel`:
+ def `test_header_data`:
+ abc: null
+ b: null
+ de: null
+ e: null
+ __main__: null
+widgets/utils/tests/test_domaineditor.py:
+ class `MockWidget`:
+ mock: null
+ class `DomainEditorTest`:
+ def `setUp`:
+ d1: null
+ x, y, z, ...: null
+ d2: null
+ 1, 2, 3, ...: null
+ c1: null
+ d3: null
+ 4, 3, 6, ...: null
+ s: null
+ t: null
+ xyzw: null
+ 12345: null
+ 4368: null
+ def `test_deduplication`:
+ foo: null
+ d1: null
+ d2: null
+ c1: null
+ d3: null
+ s: null
+ t: null
+ d2 (1): null
+ d2 (2): null
+ s (1): null
+ s (2): null
+ skip: izpusti
+ __main__: null
+widgets/utils/tests/test_graphicstextlist.py:
+ class `TestTextListWidget`:
+ def `test_setItems`:
+ Aa: null
+ Bb: null
+ def `test_orientation`:
+ x: null
+ def `test_alignment`:
+ a: null
+ def `test_tool_tips`:
+ A: null
+ class `TestUtils`:
+ def `test_scaled`:
+ scaled({size}, {const}): null
+ scaled({size}, {const}, Qt.KeepAspectRatioByExpanding): null
+widgets/utils/tests/test_headerview.py:
+ class `TestHeaderView`:
+ def `test_header`:
+ A: null
+widgets/utils/tests/test_itemmodels.py:
+ class `TestPyTableModel`:
+ def `test_data`:
+ 1: null
+ def `test_setHeaderLabels`:
+ Col 1: null
+ Col 2: null
+ class `TestVariableListModel`:
+ def `setUpClass`:
+ gender: null
+ M: null
+ F: null
+ age: null
+ name: null
+ birth: null
+ Foo: null
+ def `test_placeholder`:
+ None: Brez
+ Bar: null
+ def `test_displayrole`:
+ age: null
+ None: Brez
+ Foo: null
+ gender: null
+ name: null
+ birth: null
+ def `test_tooltip`:
+ age: null
+ Numeric: Številska
+ gender: null
+ M: null
+ F: null
+ 2: null
+ Categorical: Kategorična
+ name: null
+ Text: Besedilna
+ birth: null
+ Time: Časovna
+ foo: null
+ bar: null
+ def `test_other_roles`:
+ data: null
+ class `TestDomainModel`:
+ def `test_separators`:
+ abg: null
+ deh: null
+ ijf: null
+ foo: null
+ def `test_placeholder_placement`:
+ foo: null
+ bar: null
+ baz: null
+ def `test_subparts`:
+ abg: null
+ deh: null
+ ijf: null
+ def `test_filtering`:
+ abc: null
+ def: null
+ hidden: null
+ def `test_no_separators`:
+ abg: null
+ deh: null
+ ijf: null
+ def `test_read_only`:
+ abc: null
+ foo: null
+ class `TestContinuousPalettesModel`:
+ def `test_category_selection`:
+ Diverging: null
+ Linear: null
+ def `test_single_category`:
+ Diverging: null
+ def `test_data`:
+ Palettes: null
+ color_strip: null
+ def `test_select_flags`:
+ Palettes: null
+ def `testIndexOf`:
+ Palettes: null
+ class `TestPyListModelTooltip`:
+ def `test_tooltips_size`:
+ foo: null
+ bar: null
+ baz: null
+ footip: null
+ bartip: null
+ btip: null
+ def `test_tooltip_arg`:
+ ta: null
+ tb: null
+ foo: null
+ footip: null
+ class `TestTableModel`:
+ def `test_dense_data`:
+ postgres: null
+ mssql: null
+ def `test_local_dense_data`:
+ iris.tab: null
+ def `test_sparse_data`:
+ datasets/iris_basket.basket: null
+ sepal_length=1.5, sepal_width=5.3, petal_length=4.1, petal_width=2: null
+ Iris-setosa: null
+ __main__: null
+widgets/utils/tests/test_owbasesql.py:
+ UN: null
+ PASS: null
+ class `BrokenBackend`:
+ def `__init__`:
+ Error connecting to DB.: null
+ class `TestableSqlWidget`:
+ SQL: null
+ def `get_table`:
+ iris: null
+ class `TestOWBaseSql`:
+ def `setUp`:
+ host: null
+ port: null
+ DB: null
+ database: null
+ schema: null
+ def `test_connect`:
+ host: null
+ port: null
+ database: null
+ user: null
+ password: null
+ Host: Strežnik
+ Port: Vrata
+ Database: Baza
+ User name: Uporabniško ime
+ __main__: null
+widgets/utils/tests/test_owlearnerwidget.py:
+ class `TestOWBaseLearner`:
+ def `setUpClass`:
+ iris: null
+ def `test_error_on_learning`:
+ class `FailingLearner`:
+ def `__call__`:
+ boom: null
+ class `OWFailingLearner`:
+ foo: null
+ Data: null
+ def `test_subclasses_do_not_share_outputs`:
+ class `WidgetA`:
+ A: null
+ class `WidgetB`:
+ B: null
+ class `WidgetC`:
+ C: null
+ class `Outputs`:
+ test: null
+ test: null
+ def `test_send_backward_compatibility`:
+ class `WidgetA`:
+ A: null
+ Foo: null
+ Predictor: null
+ Bar: null
+ def `test_old_style_signals_on_subclass_backward_compatibility`:
+ class `WidgetA`:
+ A: null
+ set_data: null
+ inputs: null
+ outputs: null
+ A: null
+ def `test_persists_learner_name_in_settings`:
+ class `WidgetA`:
+ A: null
+ MyWidget: null
+ def `test_converts_sparse_targets_to_dense`:
+ class `WidgetLR`:
+ lr: null
+ def `test_invalid_number_of_targets`:
+ class `MockLearner`:
+ mock: null
+ classification: null
+ class `WidgetLR`:
+ lr: null
+ heart_disease: null
+ age: null
+ gender: null
+ chest pain: null
+ target: ciljne spremenljivke
+ def `test_default_name`:
+ class `TestLearner`:
+ Test: null
+ class `TestWidget`:
+ Test: null
+ Test: null
+ Foo: null
+ Bar: null
+ Frob: null
+ This is not a test: null
+ Blarg: null
+ def `test_preprocessor_warning`:
+ class `TestLearnerNoPreprocess`:
+ Test: null
+ class `TestWidgetNoPreprocess`:
+ Test: null
+ class `TestLearnerPreprocess`:
+ Test: null
+ class `TestWidgetPreprocess`:
+ Test: null
+ class `TestFitterPreprocess`:
+ Test: null
+ class `TestWidgetPreprocessFit`:
+ Test: null
+ def `test_multiple_sends`:
+ class `TestLearner`:
+ Test: null
+ class `TestWidget`:
+ Test: null
+ send: null
+widgets/utils/tests/test_slidergraph.py:
+ class `SimpleWidget`:
+ Simple widget: null
+ def `__init__`:
+ label1: null
+ label2: null
+ class `TestSliderGraph`:
+ def `test_init`:
+ label1: null
+ bottom: null
+ label2: null
+ left: null
+ def `test_plot`:
+ label1: null
+ bottom: null
+ label2: null
+ left: null
+ def `test_plot_selection_limit`:
+ label1: null
+ bottom: null
+ label2: null
+ left: null
+widgets/utils/tests/test_sql.py:
+ class `TestSQLDecorator`:
+ class `MockWidget`:
+ MockWidget: null
+ class `Inputs`:
+ Data: null
+ def `test_inputs_check_sql`:
+ Orange.widgets.utils.sql.Table: null
+ Orange.widgets.utils.state_summary.format_summary_details: null
+ __main__: null
+widgets/utils/tests/test_state_summary.py:
+ VarDataPair: null
+ variable: null
+ data: null
+ continuous_full: null
+ continuous_missing: null
+ rgb_full: null
+ r: null
+ g: null
+ b: null
+ rgb_missing: null
+ ints_full: null
+ 2: null
+ 3: null
+ 4: null
+ ints_missing: null
+ time_full: null
+ time_missing: null
+ string_full: null
+ a: null
+ c: null
+ d: null
+ e: null
+ string_missing: null
+ class `TestUtils`:
+ def `test_details`:
+ zoo: null
+ 'zoo: {len(data)} instances, ': null
+ {n_features} variables\n: null
+ 'Features: {len(data.domain.attributes)} categorical ': null
+ (no missing values)\n: null
+ 'Target: categorical\n': null
+ 'Metas: string': null
+ housing: null
+ 'housing: {len(data)} instances, ': null
+ 'Features: {len(data.domain.attributes)} numeric ': null
+ 'Target: numeric': null
+ heart_disease: null
+ 'heart_disease: {len(data)} instances, ': null
+ 'Features: {len(data.domain.attributes)} ': null
+ (7 categorical, 6 numeric) (0.2% missing values)\n: null
+ 'Target: categorical': null
+ '{len(data)} instances, ': null
+ (10.0% missing values)\n: null
+ 'Target: {len(data.domain.class_vars)} categorical\n': null
+ 'Metas: {len(data.domain.metas)} categorical': null
+ (2 categorical, 1 numeric, 1 time) (5.0% missing values)\n: null
+ 'Target: {len(data.domain.class_vars)} ': null
+ (1 categorical, 1 numeric)\n: null
+ 'Metas: {len(data.domain.metas)} string': null
+ {len(data.domain.variables)} variables\n: null
+ 'Features: {len(data.domain.attributes)} time ': null
+ 'Features: {len(data.domain.variables)} categorical ': null
+ 'Target: —': null
+ {len(data.domain.variables)} variable\n: null
+ 'Features: categorical (no missing values)\n': null
+ '{len(data):n} instances, ': null
+ 'Features: {len(data.domain.variables)} numeric \n': null
+ get_nan_frequency_attribute: null
+ def `test_multiple_summaries`:
+ zoo: null
+ 'Data:
zoo: {len(data)} instances, ': null
+ {n_features_data} variables
: null
+ 'Features: {len(data.domain.attributes)} categorical ': null
+ (no missing values)
: null
+ 'Target: categorical
': null
+ 'Metas: string
': null
+ 'Extra Data:
zoo: {len(extra_data)} instances, ': null
+ {n_features_extra_data} variables
: null
+ 'Features: {len(extra_data.domain.attributes)} ': null
+ categorical (no missing values)
: null
+ 'Metas: string': null
+ Data: null
+ Extra Data: null
+ 'zoo: {len(data)} instances, ': null
+ 'zoo: {len(extra_data)} instances, ': null
+ No data on output.
: null
+ 'Extra data:
zoo: {len(extra_data)} instances, ': null
+ No data on output.: null
+ Extra data: null
+ output: null
+ __main__: null
+widgets/utils/tests/test_textimport.py:
+ ,A,B,C: null
+ A: null
+ A, B, C, D\n: null
+ a, 1, 2, *\n: null
+ b, 2, 4, *: null
+ a\tb\n: null
+ class `WidgetsTests`:
+ def `test_options_widget`:
+ iso8859-1: null
+ a: null
+ b: null
+ c: null
+ delimiter-combo-box: null
+ custom-delimiter-edit: null
+ quote-edit-combo-box: null
+ __main__: null
+widgets/visualize/tests/test_owbarplot.py:
+ class `TestOWBarPlot`:
+ def `setUpClass`:
+ Data: null
+ titanic: null
+ housing: null
+ heart_disease: null
+ def `test_input_to_many_instances`:
+ Orange.widgets.visualize.owbarplot.MAX_INSTANCES: null
+ def `test_init_attr_values`:
+ None: (Brez)
+ (Same color): (Enaka barva)
+ age: null
+ diameter narrowing: null
+ sepal length: null
+ iris: null
+ MEDV: null
+ def `test_group_axis`:
+ bottom: null
+ iris: null
+ def `test_plot_data_subset`:
+ brushes: null
+ def `test_saved_workflow`:
+ cholesterol: null
+ chest pain: null
+ gender: null
+ thal: null
+ def `test_sparse_data`:
+ iris: null
+ def `test_hidden_vars`:
+ iris: null
+ hidden: null
+ sepal width: null
+ def `test_visual_settings`:
+ Helvetica: null
+ Fonts: null
+ Font family: null
+ Title: null
+ Font size: null
+ Italic: null
+ Axis title: null
+ Axis ticks: null
+ tickFont: null
+ Legend: null
+ Annotations: null
+ Foo: null
+ Figure: null
+ Gridlines: null
+ Show: null
+ left: null
+ Bottom axis: null
+ Vertical ticks: null
+ bottom: null
+ rotateTicks: null
+ Group axis: null
+ def `assertSelectedIndices`:
+ pens: null
+ __main__: null
+widgets/visualize/tests/test_owboxplot.py:
+ class `TestOWBoxPlot`:
+ def `setUpClass`:
+ iris: null
+ zoo: null
+ housing: null
+ titanic: null
+ heart_disease: null
+ Data: null
+ def `test_dont_show_hidden_attrs`:
+ iris: null
+ hidden: null
+ petal length: null
+ def `test_input_data_missings_disc_group_var`:
+ Data: null
+ def `test_input_data_missings_disc_no_group_var`:
+ cls: null
+ Data: null
+ def `test_apply_sorting_group`:
+ Data: null
+ sex: null
+ survived: null
+ age: null
+ status: null
+ thal: null
+ chest pain: null
+ major vessels colored: null
+ ST by exercise: null
+ max HR: null
+ exerc ind ang: null
+ slope peak exc ST: null
+ gender: null
+ rest ECG: null
+ rest SBP: null
+ cholesterol: null
+ fasting blood sugar > 120: null
+ diameter narrowing: null
+ def `test_apply_sorting_vars`:
+ Data: null
+ None: Brez
+ sex: null
+ survived: null
+ age: null
+ status: null
+ thal: null
+ chest pain: null
+ exerc ind ang: null
+ slope peak exc ST: null
+ gender: null
+ rest ECG: null
+ fasting blood sugar > 120: null
+ diameter narrowing: null
+ def `test_continuous_metas`:
+ str: null
+ def `test_label_overlap`:
+ chest pain: null
+ gender: null
+ def `test_empty_groups`:
+ datasets/cyber-security-breaches.tab: null
+ US State: null
+ def `test_sorting_disc_group_var`:
+ heart_disease: null
+ gender: null
+ chest pain: null
+ def `test_unconditional_commit_on_new_signal`:
+ commit: null
+ def `test_stretching`:
+ chest pain: null
+ gender: null
+ def `test_value_all_missing_for_group`:
+ a: null
+ v1: null
+ v2: null
+ v3: null
+ b: null
+ v4: null
+ def `test_valid_data_range`:
+ petal width: null
+ iris: null
+ __main__: null
+widgets/visualize/tests/test_owdistributions.py:
+ class `TestOWDistributions`:
+ def `setUp`:
+ iris: null
+ def `test_histogram_data`:
+ sepal length: null
+ iris: null
+ def `test_switch_cvar`:
+ foo: null
+ a: null
+ b: null
+ CI: null
+ def `test_disable_hide_bars`:
+ petal length: null
+ iris: null
+ def `test_hide_bars`:
+ petal length: null
+ iris: null
+ brush: null
+ def `test_sort_by_freq_no_split`:
+ heart_disease: null
+ gender: null
+ female: null
+ male: null
+ def `test_sort_by_freq_split`:
+ heart_disease: null
+ gender: null
+ rest ECG: null
+ female: null
+ normal: null
+ male: null
+ left vent hypertrophy: null
+ __main__: null
+widgets/visualize/tests/test_owfreeviz.py:
+ class `TestOWFreeViz`:
+ def `setUpClass`:
+ Data: null
+ heart_disease: null
+ def `test_number_of_targets`:
+ age: null
+ gender: null
+ chest pain: null
+ def `test_optimization`:
+ Stop: Stoj
+ def `test_optimization_cancelled`:
+ Resume: Nadaljuj
+ def `test_optimization_reset`:
+ Stop: Stoj
+ def `test_optimization_finish`:
+ Stop: Stoj
+ Start: Začni
+ def `test_optimization_no_data`:
+ Start: Začni
+ def `test_constant_data`:
+ titanic: null
+ def `test_output_components`:
+ component: null
+ freeviz-x: null
+ freeviz-y: null
+ def `test_discrete_attributes`:
+ zoo: null
+ class `TestOWFreeVizRunner`:
+ def `setUpClass`:
+ iris: null
+ def `test_run`:
+ Calculating...: Računam...
+ __main__: null
+widgets/visualize/tests/test_owheatmap.py:
+ class `TestOWHeatMap`:
+ def `setUpClass`:
+ Data: null
+ def `setUp`:
+ housing: null
+ titanic: null
+ brown-selected: null
+ def `test_information_message`:
+ heart_disease.tab: null
+ def `test_not_enough_data_settings_changed`:
+ ignore: null
+ Number of distinct clusters: null
+ def `test_cluster_column_on_all_zero_column`:
+ iris: null
+ def `test_empty_clusters`:
+ y: null
+ ignore: null
+ Number of distinct clusters: null
+ def `test_use_enough_colors`:
+ y: null
+ def `test_cls_with_single_instance`:
+ c1: null
+ c2: null
+ a: null
+ b: null
+ def `test_unconditional_commit_on_new_signal`:
+ now: null
+ def `test_saved_selection`:
+ iris: null
+ def `test_saved_selection_when_not_possible`:
+ iris: null
+ petal width: null
+ __version__: null
+ col_clustering_method: null
+ Clustering: null
+ selected_rows: null
+ def `_brown_selected_10`:
+ diau g: null
+ def `test_set_split_column_key`:
+ function: null
+ def `test_set_split_column_key_missing`:
+ function: null
+ def `test_palette_centering`:
+ y: null
+ center_palette: null
+ def `test_centering_threshold_change`:
+ y: null
+ diverging_bwr_40_95_c42: null
+ def `test_migrate_settings_v3`:
+ row_clustering: null
+ col_clustering: null
+ def `test_row_color_annotations`:
+ function: null
+ def `test_row_color_annotations_with_na`:
+ function: null
+ diau g: null
+ def `test_col_color_annotations`:
+ function: null
+ diau g: null
+ def `test_col_color_annotations_with_na`:
+ function: null
+ diau g: null
+ def `test_data_with_hidden`:
+ hidden: null
+ __main__: null
+widgets/visualize/tests/test_owlinearprojection.py:
+ class `TestOWLinearProjection`:
+ def `setUpClass`:
+ Data: null
+ def `test_bad_data`:
+ iris: null
+ class: null
+ a: null
+ def `test_no_data_for_lda`:
+ housing: null
+ def `test_data_no_cont_features`:
+ titanic: null
+ def `test_invalid_data`:
+ iris: null
+ def `test_migrate_settings_from_version_1`:
+ __version__: null
+ alpha_value: null
+ auto_commit: null
+ class_density: null
+ context_settings: null
+ iris: null
+ petal length: null
+ petal width: null
+ sepal length: null
+ sepal width: null
+ color_index: null
+ shape_index: null
+ size_index: null
+ variable_state: null
+ jitter_value: null
+ legend_anchor: null
+ point_size: null
+ savedWidgetGeometry: null
+ def `test_two_classes_dataset`:
+ heart_disease: null
+ def `test_unique_name`:
+ iris: null
+ C-y: null
+ C-x (1): null
+ C-y (1): null
+ Selected: Izbrani podatki
+ class `LinProjVizRankTests`:
+ def `setUpClass`:
+ iris: null
+ def `test_continuous_class`:
+ housing: null
+ __main__: null
+widgets/visualize/tests/test_owlineplot.py:
+ class `TestOWLinePLot`:
+ def `setUpClass`:
+ Data: null
+ def `setUp`:
+ titanic: null
+ housing: null
+ def `test_select_lines_enabled`:
+ Orange.widgets.visualize.owlineplot.SEL_MAX_INSTANCES: null
+ def `test_max_features`:
+ Orange.widgets.visualize.owlineplot.MAX_FEATURES: null
+ def `test_group_view`:
+ None: (Brez skupin)
+ def `test_plot_subset`:
+ show_range: null
+ def `test_plot_only_mean`:
+ show_range: null
+ def `test_sparse_data`:
+ iris: null
+ def `test_unconditional_commit_on_new_signal`:
+ now: null
+ def `test_visual_settings`:
+ Helvetica: null
+ Fonts: null
+ Font family: null
+ Title: null
+ Font size: null
+ Italic: null
+ Axis title: null
+ bottom: null
+ left: null
+ Axis ticks: null
+ tickFont: null
+ Legend: null
+ Annotations: null
+ Foo: null
+ x-axis title: null
+ Foo2: null
+ y-axis title: null
+ Foo3: null
+ Figure: null
+ Lines (missing value): null
+ Width: null
+ pen: null
+ Selected lines (missing value): null
+ __main__: null
+widgets/visualize/tests/test_owmosaic.py:
+ class `TestOWMosaicDisplay`:
+ def `setUpClass`:
+ Data: null
+ def `test_continuous_metas`:
+ c1: null
+ m: null
+ def `test_string_meta`:
+ m: null
+ meta: null
+ def `test_missing_values`:
+ c1: null
+ a: null
+ b: null
+ c: null
+ cls: null
+ def `test_keyerror`:
+ iris: null
+ def `test_combos_and_mosaic`:
+ iris: null
+ def `test_different_number_of_attributes`:
+ Orange.widgets.visualize.owmosaic.CanvasRectangle: null
+ Orange.widgets.visualize.owmosaic.QGraphicsItemGroup.addToGroup: null
+ 01: null
+ abcd: null
+ {:04b}: null
+ variable: null
+ def `test_vizrank_receives_manual_change`:
+ Orange.widgets.visualize.owmosaic.MosaicVizRank.on_manual_change: null
+ iris.tab: null
+ def `test_selection_setting`:
+ iris.tab: null
+ titanic: null
+ class `MosaicVizRankTests`:
+ def `setUpClass`:
+ iris.tab: null
+ def `test_row_for_state`:
+ abcd: null
+ a, b, d: null
+ def `test_does_not_crash_cont_class`:
+ housing.tab: null
+ def `test_pause_continue`:
+ housing.tab: null
+ def `test_finished`:
+ iris.tab: null
+ def `test_max_attr_combo_1_disabling`:
+ iris.tab: null
+ def `test_attr_range`:
+ iris.tab: null
+ failed at max_attrs={vizrank.max_attrs}: null
+ def `test_nan_column`:
+ a: null
+ b: null
+ c: null
+ def `test_color_combo`:
+ titanic: null
+ (Pearson residuals): (Pearsonovi residuali)
+ Data: null
+ def `test_scores`:
+ status: null
+ sex: null
+ age: null
+ titanic: null
+ def `test_subset_data`:
+ titanic: null
+ housing: null
+ def `test_incompatible_subset`:
+ titanic: null
+ def `test_on_manual_change`:
+ iris.tab: null
+ __main__: null
+widgets/visualize/tests/test_ownomogram.py:
+ class `TestOWNomogram`:
+ def `setUpClass`:
+ heart_disease: null
+ titanic: null
+ datasets/lenses.tab: null
+ def `test_nomogram_lr_multiclass`:
+ ovr: null
+ liblinear: null
+ def `test_nomogram_with_instance_nb`:
+ status: null
+ age: null
+ sex: null
+ def `test_nomogram_with_instance_lr`:
+ status: null
+ age: null
+ sex: null
+ def `test_constant_feature_disc`:
+ d1: null
+ a: null
+ c: null
+ d2: null
+ b: null
+ cls: null
+ e: null
+ d: null
+ def `test_constant_feature_cont`:
+ d: null
+ a: null
+ b: null
+ c: null
+ cls: null
+ def `_test_helper_check_probability`:
+ 'Probability: {}': Verjetnost: {}
+ def `_check_values`:
+ '{}: 100%': null
+ 'Value: {}': null
+ def `test_tooltip`:
+ Some text.: null
+ def `test_adjust_scale`:
+ Orange.widgets.visualize.ownomogram.QGraphicsTextItem: null
+ var1: null
+ foo1: null
+ foo2: null
+ var2: null
+ foo3: null
+ foo4: null
+ def `test_reconstruct_domain`:
+ heart_disease: null
+ def `test_missing_class_value`:
+ iris: null
+ def `test_compute_value`:
+ iris: null
+ __main__: null
+widgets/visualize/tests/test_owprojectionwidget.py:
+ class `TestOWProjectionWidget`:
+ def `test_get_column`:
+ cont: null
+ disc: null
+ abcdefghijklmno: null
+ disc2: null
+ abc: null
+ disc3: null
+ string: null
+ foo: null
+ bar: null
+ baz: null
+ def `test_get_column_merge_infrequent`:
+ disc: null
+ abcdefghijklmno: null
+ disc2: null
+ abc: null
+ Other: Drugo
+ def `test_get_tooltip`:
+ v: null
+ 3: null
+ 1: null
+ def `test_get_palette`:
+ v: null
+ abc: null
+ abcdefghijklmn: null
+ a: null
+ c: null
+ d: null
+ h: null
+ n: null
+ Others: null
+ foo: null
+ bar: null
+ class `TestOWDataProjectionWidget`:
+ def `setUpClass`:
+ Data: null
+ def `test_annotation_with_nans`:
+ Selected: Izbrani podatki
+ def `test_invalid_subset`:
+ iris: null
+ titanic: null
+ def `test_sparse_data_reload`:
+ heart_disease: null
+ def `test_unconditional_commit_on_new_signal`:
+ now: null
+ def `test_model_update`:
+ iris: null
+ diverging_tritanopic_cwr_75_98_c20: null
+ __main__: null
+widgets/visualize/tests/test_owpythagorastree.py:
+ class `TestOWPythagorasTree`:
+ def `setUpClass`:
+ Tree: null
+ titanic: null
+ housing: null
+ def `test_changing_target_class_changes_node_coloring`:
+ def `_test`:
+ Colors did not change for %s data: null
+ classification: null
+ regression: null
+ def `test_log_scale_slider`:
+ Should be disabled with no tree: null
+ Normal: Sorazmerna
+ Should be disabled when no size adjustment: null
+ Square root: Kvadratni koren
+ Should be disabled when square root size adjustment: null
+ Logarithmic: Logaritmična
+ Should be enabled when square root size adjustment: null
+ Squares are drawn in same positions after changing log factor: null
+ def `test_checking_legend_checkbox_shows_and_hides_legend`:
+ Hiding legend failed: null
+ Showing legend failed: null
+ def `test_checking_tooltip_shows_and_hides_tooltips`:
+ Hiding tooltips failed: null
+ Showing tooltips failed: null
+ def `test_changing_max_depth_slider`:
+ Full tree should be drawn initially: null
+ Lowering tree depth limit did not hide squares: null
+ Increasing tree depth limit did not show squares: null
+ def `test_label_on_tree_connect_and_disconnect`:
+ Nodes:(.+)\s*Depth:(.+): Število vozlišč:(.+), globina:(.+)
+ Initial info should not contain node or depth info: null
+ Valid tree does not update info: null
+ def `test_tree_determinism`:
+ 'The tree was not drawn identically in the %d times it was ': null
+ sent to widget after receiving the iris dataset.: null
+ tests: null
+ datasets: null
+ same_entropy.tab: null
+ 'sent to widget after receiving a dataset with variables with ': null
+ same entropy.: null
+ def `test_forest_tree_table`:
+ titanic: null
+ housing: null
+ def `test_changing_data_restores_depth_from_previous_settings`:
+ titanic: null
+ def `test_context`:
+ iris: null
+ __main__: null
+widgets/visualize/tests/test_owpythagoreanforest.py:
+ class `TestOWPythagoreanForest`:
+ def `setUpClass`:
+ titanic: null
+ housing: null
+ def `test_migrate_version_1_settings`:
+ zoom: null
+ version: null
+ def `test_sending_rf_draws_trees`:
+ No trees should be drawn when no forest on input: null
+ Incorrect number of trees when forest on input: null
+ Trees are cleared when forest is disconnected: null
+ def `test_info_label`:
+ Trees:(.+): Drevesa:(.+)
+ Initial info should not contain info on trees: null
+ Valid RF does not update info: null
+ Removing RF does not clear info box: null
+ def `_get_first_tree`:
+ Empty list of tree widgets: null
+ def `test_changing_target_class_changes_coloring`:
+ def `_test`:
+ Colors did not change for %s data: null
+ classification: null
+ regression: null
+ def `test_context`:
+ iris: null
+ __main__: null
+widgets/visualize/tests/test_owradviz.py:
+ class `TestOWRadviz`:
+ def `setUpClass`:
+ Data: null
+ heart_disease: null
+ def `test_output_components`:
+ component: null
+ radviz-x: null
+ radviz-y: null
+ angle: null
+ def `test_discrete_attributes`:
+ zoo: null
+ __main__: null
+widgets/visualize/tests/test_owruleviewer.py:
+ class `TestOWRuleViewer`:
+ def `setUpClass`:
+ titanic: null
+ Classifier: null
+widgets/visualize/tests/test_owscatterplot.py:
+ class `TestOWScatterPlot`:
+ def `setUpClass`:
+ Data: null
+ def `test_score_heuristics`:
+ abcd: null
+ e: null
+ ab: null
+ def `test_data_column_nans`:
+ b: null
+ a: null
+ def `test_data_column_infs`:
+ b: null
+ def `test_group_selections`:
+ No: Ne
+ Yes: Da
+ def `test_saving_selection`:
+ selection: null
+ def `test_points_selection`:
+ selection_group: null
+ titanic: null
+ def `test_migrate_selection`:
+ selection_group: null
+ def `test_invalid_points_selection`:
+ selection_group: null
+ def `test_set_strings_settings`:
+ context_settings: null
+ attr_label: null
+ sepal length: null
+ attr_color: null
+ sepal width: null
+ attr_shape: null
+ iris: null
+ attr_size: null
+ petal width: null
+ def `test_features_and_no_data`:
+ iris: null
+ def `test_output_features`:
+ iris: null
+ def `test_vizrank`:
+ iris: null
+ housing: null
+ def `test_vizrank_class_nan`:
+ iris: null
+ def `test_vizrank_nonprimitives`:
+ zoo: null
+ Orange.widgets.visualize.owscatterplot.ReliefF: null
+ def `test_vizrank_enabled_no_data`:
+ No data on input: Ni podatkov na vhodu.
+ def `test_vizrank_enabled_sparse_data`:
+ Data is sparse: Podatki so redki.
+ def `test_vizrank_enabled_constant_data`:
+ c1: null
+ c2: null
+ c3: null
+ c4: null
+ cls: null
+ a: null
+ b: null
+ def `test_vizrank_enabled_two_features`:
+ Not enough features for ranking: Ni dovolj spremenljivk za rangiranje,
+ def `test_vizrank_enabled_no_color_var`:
+ Color variable is not selected: Barva ni določena,
+ def `test_vizrank_enabled_color_var_nans`:
+ c1: null
+ c2: null
+ c3: null
+ c4: null
+ cls: null
+ a: null
+ b: null
+ Color variable has no values: Spremenljivka z barvo nima znanih vrednosti.
+ def `test_auto_send_selection`:
+ iris: null
+ def `test_color_is_optional`:
+ zoo: null
+ backbone: null
+ breathes: null
+ airborne: null
+ type: null
+ def `test_handle_metas`:
+ iris: null
+ def `test_subset_data`:
+ iris: null
+ def `test_opacity_warning`:
+ iris: null
+ def `test_metas_zero_column`:
+ iris: null
+ def `test_tooltip`:
+ heart_disease: null
+ chest pain: null
+ cholesterol: null
+ mapFromScene: null
+ showText: null
+ pointsAt: null
+ age = {}: null
+ age: null
+ gender = {}: null
+ gender: null
+ max HR = {}: null
+ max HR: null
+ others: null
+ ... and 4 others: ... in še 4
+ def `test_many_discrete_values`:
+ def `prepare_data`:
+ iris: null
+ iris5: null
+ def `test_vizrank_receives_manual_change`:
+ Orange.widgets.visualize.owscatterplot.ScatterPlotVizRank.: null
+ on_manual_change: null
+ iris.tab: null
+ def `test_on_manual_change`:
+ iris.tab: null
+ def `test_update_regression_line_calls_add_line`:
+ '#505050': null
+ def `test_time_axis`:
+ time: null
+ value: null
+ bottom: null
+ axis should display floats: null
+ def `test_visual_settings`:
+ Helvetica: null
+ Fonts: null
+ Axis title: null
+ Font size: null
+ Italic: null
+ Axis ticks: null
+ tickFont: null
+ Line label: null
+ Figure: null
+ Lines: null
+ Width: null
+ __main__: null
+widgets/visualize/tests/test_owscatterplotbase.py:
+ class `MockWidget`:
+ Mock: null
+ class `TestOWScatterPlotBase`:
+ def `test_update_coordinates`:
+ data: null
+ size: null
+ symbol: null
+ pen: null
+ brush: null
+ def `test_update_coordinates_and_labels`:
+ a: null
+ b: null
+ def `test_update_coordinates_and_density`:
+ a: null
+ b: null
+ def `test_update_coordinates_reset_view`:
+ a: null
+ b: null
+ def `test_update_coordinates_indices`:
+ data: null
+ def `test_sampling`:
+ size: null
+ symbol: null
+ pen: null
+ get_label_data: null
+ Orange.widgets.visualize.owscatterplotgraph.OWScatterPlotBase.: null
+ def `test_reset_calls_all_updates_and_update_doesnt`:
+ update_sizes: null
+ update_colors: null
+ update_selection_colors: null
+ update_shapes: null
+ update_labels: null
+ def `test_size_normalization`:
+ size: null
+ def `test_size_rounding_half_pixel`:
+ size: null
+ def `test_size_with_nans`:
+ size: null
+ def `test_sizes_all_same_or_nan`:
+ size: null
+ def `test_sizes_point_width_is_linear`:
+ size: null
+ def `test_sizes_custom_imputation`:
+ size: null
+ def `test_sizes_selection`:
+ size: null
+ def `test_size_animation`:
+ Orange.widgets.visualize.owscatterplotgraph: null
+ .MAX_N_VALID_SIZE_ANIMATE: null
+ def `test_colors_discrete`:
+ pen: null
+ brush: null
+ def `test_colors_discrete_nan`:
+ pen: null
+ brush: null
+ def `test_colors_continuous_reused`:
+ pen: null
+ brush: null
+ def `test_colors_continuous_nan`:
+ pen: null
+ brush: null
+ def `test_colors_subset`:
+ def `run_tests`:
+ brush: null
+ def `test_colors_none`:
+ pen: null
+ brush: null
+ def `test_selection_colors`:
+ pen: null
+ AnyQt.QtWidgets.QApplication.keyboardModifiers: null
+ def `test_z_values`:
+ def `check_ranks`:
+ error at pair ({j}, {i}): null
+ setZ: null
+ def `test_z_values_with_sample`:
+ def `check_ranks`:
+ error at pair ({j}, {i}): null
+ setZ: null
+ def `test_density`:
+ Orange.widgets.utils.classdensity.class_density_image: null
+ def `test_density_with_missing`:
+ Orange.widgets.utils.classdensity.class_density_image: null
+ def `test_density_with_max_colors`:
+ Orange.widgets.visualize.owscatterplotgraph.MAX_COLORS: null
+ Orange.widgets.utils.classdensity.class_density_image: null
+ def `test_labels_observes_mask`:
+ 1: null
+ 2: null
+ def `test_shapes`:
+ symbol: null
+ def `test_shapes_nan`:
+ symbol: null
+ ?: null
+ def `test_show_legend`:
+ a: null
+ b: null
+ c: null
+ d: null
+ error at {}, {}: null
+ def `test_show_legend_no_data`:
+ a: null
+ b: null
+ c: null
+ d: null
+ def `test_legend_combine`:
+ a: null
+ b: null
+ c: null
+ d: null
+ def `test_select_by_click`:
+ AnyQt.QtWidgets.QApplication.keyboardModifiers: null
+ def `test_select_by_indices`:
+ def `select`:
+ AnyQt.QtWidgets.QApplication.keyboardModifiers: null
+ def `test_no_needless_buildatlas`:
+ atlas: null
+ class `TestScatterPlotItem`:
+ def `test_paint_mapping`:
+ pyqtgraph.ScatterPlotItem.paint: null
+ def `test_paint_mapping_exception`:
+ pyqtgraph.ScatterPlotItem.paint: null
+ def `test_paint_mapping_integration`:
+ pyqtgraph.ScatterPlotItem.paint: null
+ __main__: null
+widgets/visualize/tests/test_owsieve.py:
+ class `TestOWSieveDiagram`:
+ def `setUpClass`:
+ Data: null
+ titanic: null
+ iris: null
+ def `test_missing_values`:
+ c1: null
+ a: null
+ b: null
+ c: null
+ cls: null
+ def `test_chisquare`:
+ a: null
+ y: null
+ n: null
+ b: null
+ o: null
+ yynny: null
+ ynyyn: null
+ def `test_metadata`:
+ a: null
+ b: null
+ y: null
+ n: null
+ yynn: null
+ Orange.widgets.visualize.owsieve.Discretize: null
+ def `test_sparse_data`:
+ Data: null
+ def `test_vizrank_receives_manual_change`:
+ Orange.widgets.visualize.owsieve.SieveRank.on_manual_change: null
+ iris.tab: null
+ __main__: null
+widgets/visualize/tests/test_owsilhouetteplot.py:
+ class `TestOWSilhouettePlot`:
+ def `setUpClass`:
+ Data: null
+ Silhouette ({}): Silhueta ({})
+ def `setUp`:
+ auto_commit: null
+ def `test_nan_distances`:
+ Cosine: Kosinusna
+ def `test_ignore_categorical`:
+ heart_disease: null
+ Cosine: Kosinusna
+ def `test_meta_object_dtype`:
+ iris: null
+ S: null
+ def `test_memory_error`:
+ iris: null
+ numpy.asarray: null
+ def `test_bad_data_range`:
+ a: null
+ b: null
+ c: null
+ d: null
+ y: null
+ n: null
+ nyy: null
+ def `test_saved_selection`:
+ iris: null
+ def `test_distance_input`:
+ heart_disease: null
+ def `test_no_group_var`:
+ iris: null
+ def `test_unique_output_domain`:
+ Silhouette (iris): Silhueta (iris)
+ Silhouette (iris) (1): Silhueta (iris) (1)
+ def `test_report`:
+ zoo: null
+ nnotated: značen
+ def `test_migration`:
+ foo: null
+ bar: null
+ baz: null
+ bax: null
+ cfoo: null
+ mbaz: null
+ cluster_var_idx: null
+ annotation_var_idx: null
+ cluster_var: null
+ annotation_var: null
+ __main__: null
+widgets/visualize/tests/test_owtreegraph.py:
+ class `TestOWTreeGraph`:
+ def `setUpClass`:
+ Tree: null
+ tests: null
+ datasets: null
+ same_entropy.tab: null
+ aaa: null
+ e: null
+ f: null
+ g: null
+ bbb: null
+ ijkl: null
+ ccc: null
+ y: null
+ def `test_tree_determinism`:
+ 'The tree was not drawn identically in the %d times it was ': null
+ sent to widget after receiving the iris dataset.: null
+ 'sent to widget after receiving a dataset with variables with ': null
+ same entropy.: null
+ def `test_update_node_info`:
+ foo: null
+ bar
ban: null
+ bar: null
+ bar
ban
foo: null
+ def `test_tree_labels`:
+ 42.0 ± 8.0: null
+ 50 instances: 50 primerov
+ aaa: null
+ 38.0 ± 5.0: null
+ 16 instances: 16 primerov
+ bbb: null
+ 13.0 ± 3.0: null
+ 14 instances: 14 primerov
+ 78.0 ± 12.0: null
+ 20 instances: 20 primerov
+ ccc: null
+ __main__: null
+widgets/visualize/tests/test_owvenndiagram.py:
+ class `TestOWVennDiagram`:
+ def `test_rows_id`:
+ zoo: null
+ hair: null
+ feathers (1): null
+ feathers (2): null
+ eggs: null
+ milk: null
+ airborne: null
+ aquatic: null
+ predator: null
+ toothed: null
+ backbone: null
+ breathes: null
+ venomous: null
+ fins: null
+ legs: null
+ tail: null
+ domestic: null
+ catsize: null
+ def `test_disable_duplicates`:
+ zoo: null
+ def `test_disable_match_equality`:
+ zoo: null
+ def `test_multiple_input_over_cols`:
+ Selected: null
+ Data: null
+ sepal length (2): null
+ sepal length (1): null
+ def `test_unconditional_commit_on_new_signal`:
+ now: null
+ def `test_rows_identifiers`:
+ zoo: null
+ Data: null
+ def `test_migration_to_3`:
+ selected_feature: null
+ __main__: null
+widgets/visualize/tests/test_owviolinplot.py:
+ class `TestOWViolinPlot`:
+ def `setUpClass`:
+ Data: null
+ housing: null
+ def `test_no_cont_features`:
+ zoo: null
+ def `test_enable_controls`:
+ None: (Brez skupin)
+ def `test_show_grid_sets_show_grid`:
+ Orange.widgets.visualize.owviolinplot.ViolinPlot.set_show_grid: null
+ def `test_show_grid_orientation`:
+ bottom: null
+ left: null
+ def `test_unique_values`:
+ petal width: null
+ def `test_select`:
+ mapToView: null
+ def `test_selection_rect`:
+ mapToView: null
+ def `test_selection_sort_violins`:
+ sepal width: null
+ def `test_saved_selection`:
+ AnyQt.QtWidgets.QApplication.keyboardModifiers: null
+ def `test_visual_settings`:
+ def `test_settings`:
+ Helvetica: null
+ tickFont: null
+ Foo: null
+ rotateTicks: null
+ Fonts: null
+ Font family: null
+ Helvetica: null
+ Title: null
+ Font size: null
+ Italic: null
+ Axis title: null
+ Axis ticks: null
+ Annotations: null
+ Foo: null
+ Figure: null
+ Bottom axis: null
+ Vertical tick text: null
+ __main__: null
+widgets/visualize/tests/test_vizrankdialog.py:
+ class `TestRunner`:
+ def `setUpClass`:
+ iris: null
+ __main__: null
+widgets/visualize/utils/tests/test_customizableplot.py:
+ class `TestFonts`:
+ def `test_available_font_families`:
+ QFont: null
+ QFontDatabase: null
+ mock regular: null
+ a: null
+ .d: null
+ e: null
+ .b: null
+ c: null
+ mock bold: null
+ mock italic: null
+ mock semi: null
+ __main__: null
+widgets/visualize/utils/tests/test_heatmap.py:
+ class `TestHeatmapGridWidget`:
+ 0-0: null
+ 1-0: null
+ 0-1: null
+ a: null
+ 1-1: null
+ b: null
+ 2-2-split: null
+ 2-2-cl: null
+ 2-2: null
+ def `test_widget_annotations`:
+ 2-2: null
+ 1: null
+ 2: null
+ a: null
+ b: null
+ def `test_selection`:
+ 2-2: null
+ def `test_colormap`:
+ 2-2: null
+ class `TestCategoricalColorLegend`:
+ def `test_font_propagation`:
+ a: null
+ b: null
+ Title: null
+ Windings: null
+widgets/visualize/utils/tests/test_plotutils.py:
+ class `TestInteractiveViewBox`:
+ def `test_update_scale_box`:
+ mapToView: null
+ __main__: null
+widgets/visualize/utils/tree/tests/test_rules.py:
+ class `TestRules`:
+ def `test_merging_two_gt_continuous_rules`:
+ Rule: null
+ def `test_merging_gt_with_gte_continuous_rule`:
+ Rule: null
+ def `test_merging_two_lt_continuous_rules`:
+ Rule: null
+ def `test_merging_lt_with_lte_rule`:
+ Rule: null
+ def `test_merging_lt_with_gt_continuous_rules`:
+ Rule: null
+ def `test_merging_interval_rule_with_smaller_continuous_rule`:
+ Rule: null
+ def `test_merging_interval_rule_with_larger_continuous_rule`:
+ Rule: null
+ def `test_merging_interval_rule_with_larger_lt_continuous_rule`:
+ Rule: null
+ def `test_merging_interval_rule_with_smaller_gt_continuous_rule`:
+ Rule: null
+ def `test_merging_interval_rules_with_smaller_lt_component`:
+ Rule: null
+ def `test_merging_interval_rules_with_larger_lt_component`:
+ Rule: null
+ def `test_merging_interval_rules_generally`:
+ Rule: null
+ def `test_merge_commutativity_on_continuous_rules`:
+ Rule1: null
+ def `test_merge_commutativity_on_interval_rules`:
+ Rule: null
+ def `test_merge_keeps_gt_on_continuous_rules`:
+ Rule1: null
+ def `test_merge_keeps_attr_name_on_continuous_rules`:
+ Rule1: null
+widgets/visualize/utils/tree/tests/test_treeadapter.py:
+ class `TestTreeAdapter`:
+ def `setUp`:
+ v1: null
+ v2: null
+ abc: null
+ v3: null
+ def: null
+ y: null
+ def `test_adapter`:
+ v1 > 13: null
diff --git a/i18n/trans.sh b/i18n/trans.sh
new file mode 100755
index 00000000000..42fba294866
--- /dev/null
+++ b/i18n/trans.sh
@@ -0,0 +1,8 @@
+if [ "$#" -ne 1 ]
+then
+ echo "trans "
+ exit
+else
+ dest=$1
+ trubar --conf trubar-config.yaml translate -s ../Orange -d $dest/Orange msgs.jaml
+fi
diff --git a/i18n/trans1.sh b/i18n/trans1.sh
new file mode 100755
index 00000000000..26750b17e16
--- /dev/null
+++ b/i18n/trans1.sh
@@ -0,0 +1,10 @@
+if [ "$#" -ne 2 ]
+then
+ echo "trans "
+ exit
+else
+ lang=$1
+ dest=$2
+ trubar --conf $lang/trubar-config.yaml translate -s ../Orange -d $dest/Orange --static $lang/static $lang/msgs.jaml
+ trubar --conf $lang/tests-config.yaml translate -s ../Orange -d $dest/Orange $lang/tests-msgs.jaml
+fi
diff --git a/i18n/trubar-config.yaml b/i18n/trubar-config.yaml
new file mode 100644
index 00000000000..46595f963a9
--- /dev/null
+++ b/i18n/trubar-config.yaml
@@ -0,0 +1,13 @@
+languages:
+ en:
+ name: English
+ original: true
+ si:
+ name: Slovenščina
+ international-name: Slovenian
+ auto-import: from orangecanvas.localization.si import plsi, plsi_sz, z_besedo # pylint: disable=wrong-import-order
+auto-import: |2
+ from orangecanvas.localization import Translator # pylint: disable=wrong-import-order
+ _tr = Translator("Orange", "biolab.si", "Orange")
+ del Translator
+encoding: "utf-8"
\ No newline at end of file
diff --git a/pylintrc b/pylintrc
index c678600595f..15cb68e34ea 100644
--- a/pylintrc
+++ b/pylintrc
@@ -10,13 +10,15 @@
# Add files or directories to the blacklist. They should be base names, not
# paths.
ignore=CVS
+# Ignore unittests
+ignore-patterns=^test_.*?py
# Pickle collected data for later comparisons.
persistent=yes
# List of plugins (as comma separated values of python modules names) to load,
# usually to register additional checkers.
-load-plugins=
+load-plugins=pylint.extensions.eq_without_hash
# Use multiple processes to speed up Pylint.
jobs=0
@@ -30,15 +32,6 @@ unsafe-load-any-extension=no
# run arbitrary code
extension-pkg-whitelist=Orange.distance._distance,Orange.data._variable,numpy.random.mtrand
-# Allow optimization of some AST trees. This will activate a peephole AST
-# optimizer, which will apply various small optimizations. For instance, it can
-# be used to obtain the result of joining multiple strings with the addition
-# operator. Joining a lot of strings can lead to a maximum recursion error in
-# Pylint and this flag can prevent that. It has one side effect, the resulting
-# AST will be different than the one from reality.
-optimize-ast=no
-
-
[MESSAGES CONTROL]
# Only show warnings with the listed confidence levels. Leave empty to show
@@ -64,7 +57,9 @@ disable=
no-name-in-module, no-member, # too many false positives from Qt
import-error, # false positives, and we don't expect any true positives
too-many-ancestors, # I don't think this is a problem
- no-else-return # else's may actually improve readability
+ no-else-return, # else's may actually improve readability
+ duplicate-code, # too strict; we're disciplined and don't do this by mistake
+ too-many-positional-arguments # controversial check with no good solution
[REPORTS]
@@ -74,11 +69,6 @@ disable=
# mypackage.mymodule.MyReporterClass.
output-format=text
-# Put messages in a separate file for each module / package specified on the
-# command line instead of printing them on stdout. Reports (if any) will be
-# written in a file name "pylint_global.[txt|html]".
-files-output=no
-
# Tells whether to display a full report or only the messages
reports=yes
@@ -106,12 +96,6 @@ ignore-long-lines=^\s*(# )??$
# else.
single-line-if-stmt=yes
-# List of optional constructs for which whitespace checking is disabled. `dict-
-# separator` is used to allow tabulation in dicts, etc.: {1 : 1,\n222: 2}.
-# `trailing-comma` allows a space between comma and closing bracket: (a, ).
-# `empty-line` allows space-only lines.
-no-space-check=trailing-comma,dict-separator
-
# Maximum number of lines in a module
max-module-lines=1000
@@ -162,7 +146,7 @@ ignore-comments=yes
ignore-docstrings=yes
# Ignore imports when computing similarities.
-ignore-imports=no
+ignore-imports=yes
[VARIABLES]
@@ -182,11 +166,11 @@ additional-builtins=
# name must start or end with one of those strings.
callbacks=cb_,_cb,on_,_on_
+# Rarely used builtins but frequent parameter names
+allowed-redefined-builtins=id,format,input
-[BASIC]
-# List of builtins function names that should not be used, separated by a comma
-bad-functions=print
+[BASIC]
# Good variable names which should always be accepted, separated by a comma
good-names=ex,Run,_,a,c,d,e,i,j,k,m,n,o,p,t,u,v,w,x,y,A,X,Y,M
@@ -204,53 +188,33 @@ include-naming-hint=yes
# Regular expression matching correct method names
# TODO: find a better way to allow long method names in test classes.
method-rgx=[a-z_][a-zA-Z0-9_]{2,80}$
-# Naming hint for method names
-method-name-hint=[a-z_][a-zA-Z0-9_]{2,30}$
# Regular expression matching correct class names
class-rgx=[A-Z_][a-zA-Z0-9]{2,30}$
-# Naming hint for class names
-class-name-hint=[A-Z_][a-zA-Z0-9]{2,30}$
# Regular expression matching correct module names
module-rgx=([a-z_][a-z0-9_]{2,30})$
-# Naming hint for module names
-module-name-hint=([a-z_][a-z0-9_]{2,30})$
# Regular expression matching correct class attribute names
class-attribute-rgx=[A-Za-z_][A-Za-z0-9_]{2,30}$
-# Naming hint for class attribute names
-class-attribute-name-hint=[A-Za-z_][A-Za-z0-9_]{2,30}$
# Regular expression matching correct constant names
const-rgx=[A-Za-z_][A-Za-z0-9_]+$
-# Naming hint for constant names
-const-name-hint=[A-Za-z_][A-Za-z0-9_]+$
# Regular expression matching correct function names
function-rgx=[a-z_][a-zA-Z0-9_]{2,30}$
-# Naming hint for function names
-function-name-hint=[a-z_][a-zA-Z0-9_]{2,30}$
# Regular expression matching correct variable names
variable-rgx=[a-zA-Z_][a-zA-Z0-9_]{0,30}$
-# Naming hint for variable names
-variable-name-hint=[a-zA-Z_][a-zA-Z0-9_]{0,30}$
# Regular expression matching correct attribute names
attr-rgx=[a-z_][a-zA-Z0-9_]*$
-# Naming hint for attribute names
-attr-name-hint=[a-z_][a-zA-Z0-9_]{2,30}$
# Regular expression matching correct inline iteration names
inlinevar-rgx=[A-Za-z_][A-Za-z0-9_]*$
-# Naming hint for inline iteration names
-inlinevar-name-hint=[A-Za-z_][A-Za-z0-9_]*$
# Regular expression matching correct argument names
argument-rgx=[a-z_][a-zA-Z0-9_]*$
-# Naming hint for argument names
-argument-name-hint=[a-z_][a-zA-Z0-9_]{2,30}$
# Regular expression which should only match function or class names that do
# not require a docstring.
@@ -271,7 +235,7 @@ max-nested-blocks=5
# Tells whether missing members accessed in mixin class should be ignored. A
# mixin class is detected if its name ends with "mixin" (case insensitive).
-ignore-mixin-members=yes
+ignored-checks-for-mixins=no-member
# List of module names for which member attributes should not be checked
# (useful for modules/projects where namespaces are manipulated during runtime
@@ -371,7 +335,7 @@ int-import-graph=
# Exceptions that will emit a warning when being caught. Defaults to
# "Exception"
-overgeneral-exceptions=Exception
+overgeneral-exceptions=builtins.Exception
[isort]
-known-standard-library=pkg_resources
+known-standard-library=
diff --git a/pyproject.toml b/pyproject.toml
index d78fb71c1da..0fd2b2891eb 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,11 +1,33 @@
[build-system]
requires = [
- "setuptools>=40.8.0,<50.0",
- "wheel",
- "cython",
- "oldest-supported-numpy",
- "sphinx",
+ "cython>=3.0",
+ "numpy>=2.0",
"recommonmark",
+ "setuptools>=51.0",
+ "sphinx>=4.2.0,<8",
+ "sphinx-multiproject",
+ "myst-parser",
+ "wheel",
+ "trubar>=0.3.4"
]
build-backend = "setuptools.build_meta"
+
+[tool.cibuildwheel]
+# Restrict the set of builds to mirror the wheels available in Orange3.
+skip = ["cp36-*", "cp37-*", "cp38-*", "cp39-*", "pp*", "*-musllinux_*"]
+build-verbosity = 2
+
+[tool.cibuildwheel.linux]
+archs = ["x86_64", "aarch64"]
+
+[tool.cibuildwheel.windows]
+archs = ["AMD64"]
+
+[tool.cibuildwheel.macos]
+# https://cibuildwheel.readthedocs.io/en/stable/faq/#what-to-provide suggests to provide
+# x86_64 and one of universal2 or amr64 wheels, since unviversal pack what is already in
+# x86_64, currently universal2 is not built but arm64 is built instead
+# x86_64 is still reuqired because of older pips, when remcomendation changes we can
+# build only universal2
+archs = ["x86_64", "arm64"]
diff --git a/requirements-core.txt b/requirements-core.txt
index 525cacf7ed7..eb52c628c69 100644
--- a/requirements-core.txt
+++ b/requirements-core.txt
@@ -1,26 +1,27 @@
-pip>=9.0
-numpy>=1.16.0
-scipy>=0.16.1
-scikit-learn>=0.22.0,!=0.23.0 # 0.23.0 have error with slow k-means, it will be fixed in 0.23.1
-bottleneck>=1.0.0
-# Reading Excel files
-xlrd>=0.9.2
-# Writing Excel Files
-xlsxwriter
+baycomp>=1.0.2
+bottleneck>=1.3.4
# Encoding detection
chardet>=3.0.2
+httpx>=0.21.0,<1
# Multiprocessing abstraction
-joblib>=0.9.4
+joblib>=1.2.0
keyring
keyrings.alt # for alternative keyring implementations
-setuptools>=36.3
-serverfiles # for Data Sets synchronization
networkx
+numpy>=1.21.0,<2.4
+openpyxl>=3.1.3
+openTSNE>=0.6.2,!=0.7.0 # 0.7.0 segfaults
+packaging
+pandas>=2.0.1,<3
python-louvain>=0.13
-requests
-openTSNE>=0.6.0
-baycomp>=1.0.2
-pandas>=1.0.0
pyyaml
-openpyxl
-httpx>=0.14.0,<0.17
+requests
+scikit-learn>=1.5.1
+scipy>=1.9
+serverfiles # for Data Sets synchronization
+xgboost>=1.7.4,<2.1; sys_platform=="darwin"
+xgboost>=1.7.4; sys_platform!="darwin"
+# Reading Excel files
+xlrd>=1.2.0
+# Writing Excel Files
+xlsxwriter
diff --git a/requirements-dev.txt b/requirements-dev.txt
index 2ea73d2f7f0..4f2ef427c4d 100644
--- a/requirements-dev.txt
+++ b/requirements-dev.txt
@@ -1,5 +1,6 @@
pylint
radon
+recommonmark
# for build_htmlhelp command
sphinx>=1.5
-recommonmark
+trubar
diff --git a/requirements-doc.txt b/requirements-doc.txt
index 90538ac9d1e..4b278c4f31c 100644
--- a/requirements-doc.txt
+++ b/requirements-doc.txt
@@ -1,2 +1,4 @@
-Sphinx>=1.3
recommonmark
+Sphinx>=4.2.0,<8
+sphinx-multiproject
+myst-parser
diff --git a/requirements-gui.txt b/requirements-gui.txt
index bfe7c8d15bd..6f419327858 100644
--- a/requirements-gui.txt
+++ b/requirements-gui.txt
@@ -1,9 +1,9 @@
-orange-canvas-core>=0.1.21,<0.2a
-orange-widget-base>=4.13.0
+orange-canvas-core>=0.2.9,<0.3a
+orange-widget-base>=4.25.0
-PyQt5>=5.12,!=5.15.1 # 5.15.1 skipped because of QTBUG-87057 - affects select columns
-PyQtWebEngine>=5.12
-AnyQt>=0.0.11
+AnyQt>=0.2.0
-pyqtgraph>=0.11.1
-matplotlib>=2.0.0
+matplotlib>=3.2.0
+pygments>=2.8.0
+pyqtgraph>=0.13.1
+qtconsole>=4.7.2
diff --git a/requirements-opt.txt b/requirements-opt.txt
deleted file mode 100644
index 25daee426ed..00000000000
--- a/requirements-opt.txt
+++ /dev/null
@@ -1,2 +0,0 @@
-catboost
-xgboost
diff --git a/requirements-pyqt.txt b/requirements-pyqt.txt
new file mode 100644
index 00000000000..c365e25884a
--- /dev/null
+++ b/requirements-pyqt.txt
@@ -0,0 +1,6 @@
+PyQt6>=6.5
+PyQt6-WebEngine>=6.5
+
+# Alternatively, for PyQt5
+# PyQt5>=5.12,!=5.15.1 # 5.15.1 skipped because of QTBUG-87057 - affects select columns
+# PyQtWebEngine>=5.12
diff --git a/requirements-readthedocs.txt b/requirements-readthedocs.txt
index 2756978e0ea..05d72518dd7 100644
--- a/requirements-readthedocs.txt
+++ b/requirements-readthedocs.txt
@@ -2,3 +2,5 @@ cython
-r requirements-core.txt
-r requirements-doc.txt
-r requirements-gui.txt
+-r requirements-pyqt.txt
+-e .
diff --git a/setup.cfg b/setup.cfg
index d3906e8b4d7..d6bf13a7712 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -1,6 +1,6 @@
[config]
# applies to sdist and build commands
-with-htmlhelp=1
+with_htmlhelp=1
[aliases]
# build a sdist and a wheel release with included widget help
diff --git a/setup.py b/setup.py
index cc4914f560f..2120488753f 100755
--- a/setup.py
+++ b/setup.py
@@ -4,15 +4,13 @@
import sys
import subprocess
from setuptools import setup, find_packages, Command
+from setuptools.command.install import install
from distutils.command import install_data, sdist
from distutils.command.build_ext import build_ext
from distutils.command import config, build
from distutils.core import Extension
-if sys.version_info < (3, 4):
- sys.exit('Orange requires Python >= 3.4')
-
try:
import numpy
have_numpy = True
@@ -21,23 +19,22 @@
try:
# need sphinx and recommonmark for build_htmlhelp command
- from sphinx.setup_command import BuildDoc
# pylint: disable=unused-import
+ import sphinx
import recommonmark
have_sphinx = True
except ImportError:
have_sphinx = False
try:
- from Cython.Distutils.build_ext import new_build_ext as build_ext
+ from Cython.Build import cythonize
have_cython = True
except ImportError:
have_cython = False
-
NAME = 'Orange3'
-VERSION = '3.30.0'
+VERSION = '3.41.0'
ISRELEASED = False
# full version identifier including a git revision identifier for development
# build/releases (this is filled/updated in `write_version_py`)
@@ -49,7 +46,13 @@
LONG_DESCRIPTION_CONTENT_TYPE = 'text/markdown'
AUTHOR = 'Bioinformatics Laboratory, FRI UL'
AUTHOR_EMAIL = 'info@biolab.si'
-URL = 'http://orange.biolab.si/'
+URL = 'https://orangedatamining.com/'
+PROJECT_URLS = {
+ 'Documentation': 'https://orangedatamining.com/docs',
+ 'Source Code': 'https://github.com/biolab/orange3',
+ 'Issue Tracker': 'https://github.com/biolab/orange3/issues',
+ 'Donate': 'https://github.com/sponsors/biolab'
+}
LICENSE = 'GPLv3+'
KEYWORDS = [
@@ -76,8 +79,12 @@
'Intended Audience :: Developers',
]
+PYTHON_REQUIRES = ">=3.11"
+
+
requirements = ['requirements-core.txt', 'requirements-gui.txt']
+
INSTALL_REQUIRES = sorted(set(
line.partition('#')[0].strip()
for file in (os.path.join(os.path.dirname(__file__), file)
@@ -86,9 +93,7 @@
) - {''})
-EXTRAS_REQUIRE = {
- ':python_version<="3.4"': ["typing"],
-}
+EXTRAS_REQUIRE = {}
ENTRY_POINTS = {
"orange.widgets": (
@@ -97,6 +102,12 @@
"orange.canvas.help": (
"html-index = Orange.widgets:WIDGET_HELP_PATH",
),
+ "orange.canvas.drophandler": (
+ "File = Orange.widgets.data.owfile:OWFileDropHandler",
+ "Load Model = Orange.widgets.model.owloadmodel:OWLoadModelDropHandler",
+ "Distance File = Orange.widgets.unsupervised.owdistancefile:OWDistanceFileDropHandler",
+ "Python Script = Orange.widgets.data.owpythonscript:OWPythonScriptDropHandler",
+ ),
"gui_scripts": (
"orange-canvas = Orange.canvas.__main__:main",
),
@@ -153,8 +164,12 @@ def write_version_py(filename='Orange/version.py'):
GIT_REVISION = git_version()
elif os.path.exists('Orange/version.py'):
# must be a source distribution, use existing version file
- import imp
- version = imp.load_source("Orange.version", "Orange/version.py")
+ import importlib.util
+ spec = importlib.util.spec_from_file_location(
+ "Orange.version", filename
+ )
+ version = importlib.util.module_from_spec(spec)
+ spec.loader.exec_module(version)
GIT_REVISION = version.git_revision
else:
GIT_REVISION = "Unknown"
@@ -191,7 +206,7 @@ def write_version_py(filename='Orange/version.py'):
"icons/paintdata/*.svg"],
"Orange.widgets.data.tests": ["origin1/*.tab",
"origin2/*.tab",
- "*.txt", "*.tab"],
+ "*.txt", "*.tab", "*.foo", "*.xlsx"],
"Orange.widgets.evaluate": ["icons/*.svg"],
"Orange.widgets.model": ["icons/*.svg"],
"Orange.widgets.visualize": ["icons/*.svg"],
@@ -376,16 +391,23 @@ def finalize_options(self):
HAVE_BUILD_HTML = os.path.exists("doc/visual-programming/build/htmlhelp/index.html")
if have_sphinx and HAVE_SPHINX_SOURCE:
- class build_htmlhelp(BuildDoc):
+ class build_htmlhelp(Command):
+ user_options = []
+
+ def finalize_options(self):
+ pass
+
def initialize_options(self):
- super().initialize_options()
self.build_dir = "doc/visual-programming/build"
- self.source_dir = "doc/visual-programming/source"
- self.builder = "htmlhelp"
- self.version = VERSION
def run(self):
- super().run()
+ subprocess.check_call([
+ "sphinx-build", "-b", "htmlhelp", "-d", "build/doctrees",
+ "-D", f"version={VERSION}",
+ "source", "build"
+ ],
+ cwd="doc/visual-programming"
+ )
helpdir = os.path.join(self.build_dir, "htmlhelp")
files = find_htmlhelp_files(helpdir)
# add the build files to distribution
@@ -424,14 +446,7 @@ def ext_modules():
if os.name == 'posix':
libraries.append("m")
- return [
- # Cython extensions. Will be automatically cythonized.
- Extension(
- "*",
- ["Orange/*/*.pyx"],
- include_dirs=includes,
- libraries=libraries,
- ),
+ modules = [
Extension(
"Orange.classification._simple_tree",
sources=[
@@ -454,10 +469,38 @@ def ext_modules():
),
]
+ if have_cython:
+ modules += cythonize(Extension(
+ "*",
+ ["Orange/*/*.pyx"],
+ include_dirs=includes,
+ libraries=libraries,
+ ))
+
+ return modules
+
+
+class InstallMultilingualCommand(install):
+ def run(self):
+ super().run()
+ self.compile_to_multilingual()
+
+ def compile_to_multilingual(self):
+ # Import locally so that editable install won't require trubar
+ # pylint: disable=import-outside-toplevel
+ from trubar import translate
+
+ package_dir = os.path.dirname(os.path.abspath(__file__))
+ translate(
+ "msgs.jaml",
+ source_dir=os.path.join(self.install_lib, "Orange"),
+ config_file=os.path.join(package_dir, "i18n", "trubar-config.yaml"))
+
def setup_package():
write_version_py()
cmdclass = {
+ 'install': InstallMultilingualCommand,
'lint': LintCommand,
'coverage': CoverageCommand,
'config': config,
@@ -468,17 +511,14 @@ def setup_package():
# numpy.distutils insist all data files are installed in site-packages
'install_data': install_data.install_data
}
- if have_numpy and have_cython:
- extra_args = {}
- cmdclass["build_ext"] = build_ext
- else:
+ if not (have_numpy and have_cython):
# substitute a build_ext command with one that raises an error when
# building. In order to fully support `pip install` we need to
# survive a `./setup egg_info` without numpy so pip can properly
# query our install dependencies
- extra_args = {}
cmdclass["build_ext"] = build_ext_error
+ extra_args = {}
setup(
name=NAME,
version=FULLVERSION,
@@ -488,6 +528,7 @@ def setup_package():
author=AUTHOR,
author_email=AUTHOR_EMAIL,
url=URL,
+ project_urls=PROJECT_URLS,
license=LICENSE,
keywords=KEYWORDS,
classifiers=CLASSIFIERS,
@@ -497,6 +538,7 @@ def setup_package():
data_files=DATA_FILES,
install_requires=INSTALL_REQUIRES,
extras_require=EXTRAS_REQUIRE,
+ python_requires=PYTHON_REQUIRES,
entry_points=ENTRY_POINTS,
zip_safe=False,
test_suite='Orange.tests.suite',
diff --git a/tox.ini b/tox.ini
index ab2e9ec87ee..a81229e22e6 100644
--- a/tox.ini
+++ b/tox.ini
@@ -1,6 +1,6 @@
[tox]
envlist =
- py-orange-{latest, released}
+ orange-{oldest, latest, released}
pylint-ci
build_doc
add-ons
@@ -8,8 +8,8 @@ skip_missing_interpreters = true
isolated_build = true
[testenv]
-# must use latest pip (version 20.3.1 enables Big Sur support - https://github.com/pypa/pip/issues/9138)
-pip_version = pip
+# https://tox.wiki/en/latest/config.html#download
+download = true
passenv = *
# we MUST changedir to avoid installed being shadowed by working dir
# https://github.com/tox-dev/tox/issues/54
@@ -22,22 +22,48 @@ setenv =
# Need this otherwise unittest installs a warning filter that overrides
# our desire to have OrangeDeprecationWarnings raised
PYTHONWARNINGS=module
- # Skip loading of example workflows as that inflates coverage
- SKIP_EXAMPLE_WORKFLOWS=True
# set coverage output and project config
COVERAGE_FILE = {toxinidir}/.coverage
COVERAGE_RCFILE = {toxinidir}/.coveragerc
deps =
- pyqt5==5.12.*
- pyqtwebengine==5.12.*
- -r {toxinidir}/requirements-opt.txt
+ pyqt5==5.15.*
+ pyqtwebengine==5.15.*
coverage
- psycopg2-binary
- # no wheels for mac
- pymssql<3.0;platform_system!='Darwin' and python_version<'3.8'
- latest: git+git://github.com/pyqtgraph/pyqtgraph.git#egg=pyqtgraph
- latest: git+git://github.com/biolab/orange-canvas-core.git#egg=orange-canvas-core
- latest: git+git://github.com/biolab/orange-widget-base.git#egg=orange-widget-base
+ psycopg2-binary; platform_system=="Linux" # we only test this on Linux
+ pymssql; platform_system=="Linux" # we only test this on Linux
+ latest: https://github.com/biolab/orange-canvas-core/archive/refs/heads/master.zip#egg=orange-canvas-core
+ latest: https://github.com/biolab/orange-widget-base/archive/refs/heads/master.zip#egg=orange-widget-base
+ # GUI requirements
+ oldest: orange-canvas-core==0.2.9
+ oldest: orange-widget-base==4.25.0
+ oldest: AnyQt==0.2.0
+ oldest: matplotlib==3.6.0
+ oldest: pygments==2.8.0
+ oldest: pyqtgraph>=0.13.1
+ oldest: qtconsole==4.7.2
+ # core requirements
+ oldest: baycomp==1.0.2
+ oldest: bottleneck==1.3.7
+ oldest: catboost==1.2.2
+ oldest: chardet==3.0.2
+ oldest: httpx==0.21.0
+ oldest: joblib==1.2.0
+ # oldest: keyring
+ # oldest: keyrings.alt
+ # oldest: networkx
+ oldest: numpy==1.23.2
+ oldest: openpyxl==3.1.3
+ oldest: openTSNE==1.0.0
+ oldest: pandas==2.0.1
+ oldest: python-louvain==0.13
+ # oldest: pyyaml
+ # oldest: requests
+ oldest: scikit-learn==1.7
+ oldest: scipy==1.10
+ # oldest: serverfiles
+ oldest: xgboost==2.1.0
+ oldest: xlrd==1.2.0
+ # oldest: xlsxwriter
commands_pre =
# Verify installed packages have compatible dependencies
@@ -45,10 +71,50 @@ commands_pre =
# freeze environment
pip freeze
commands =
- coverage run {toxinidir}/quietunittest.py Orange.tests Orange.widgets.tests Orange.canvas.tests
- coverage run {toxinidir}/quietunittest.py discover Orange.canvas.tests
+ coverage run -m unittest -v Orange.tests Orange.widgets.tests
coverage combine
coverage report
+ # codecov-actions wants xml report
+ coverage xml -o {toxinidir}/coverage.xml
+
+[testenv:beta]
+changedir =
+ {envsitepackagesdir}
+setenv =
+ QT_API=PyQt6
+ ANYQT_HOOK_DENY=pyqt5
+ PIP_EXTRA_INDEX_URL=https://pypi.anaconda.org/scientific-python-nightly-wheels/simple
+ PIP_PRE=1
+deps =
+ https://github.com/pyqtgraph/pyqtgraph/archive/refs/heads/master.zip#egg=pyqtgraph
+ https://github.com/biolab/orange-canvas-core/archive/refs/heads/master.zip#egg=orange-canvas-core
+ https://github.com/biolab/orange-widget-base/archive/refs/heads/master.zip#egg=orange-widget-base
+ PyQt6==6.8.*
+ PyQt6-Qt6==6.8.*
+ PyQt6-WebEngine==6.8.*
+ PyQt6-WebEngine-Qt6==6.8.*
+commands_pre =
+ # Verify installed packages have compatible dependencies
+ pip check
+ # freeze environment
+ pip freeze
+commands =
+ python -m unittest -v Orange.tests Orange.widgets.tests
+
+[testenv:pyqt6]
+changedir =
+ {envsitepackagesdir}
+setenv =
+ QT_API=PyQt6
+ ANYQT_HOOK_DENY=pyqt5
+deps =
+ PyQt6==6.8.*
+ PyQt6-Qt6==6.8.*
+ PyQt6-WebEngine==6.8.*
+ PyQt6-WebEngine-Qt6==6.8.*
+
+commands =
+ python -m unittest -v Orange.widgets.tests
[testenv:add-ons]
deps =
@@ -63,15 +129,19 @@ commands =
[testenv:pylint-ci]
changedir = {toxinidir}
skip_install = true
-whitelist_externals = bash
-deps = pylint
+allowlist_externals = bash
+deps =
+ orange-widget-base
+ anyqt
+ PyQt5==5.12.*
+ pylint
commands =
bash .github/workflows/check_pylint_diff.sh
[testenv:build_doc]
changedir = {toxinidir}
usedevelop = true
-whitelist_externals = bash
+allowlist_externals = bash
deps =
{[testenv]deps}
-r {toxinidir}/requirements-doc.txt