repo_id stringclasses 400
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values | commit_index int32 0 951 | in_repo_split stringclasses 1
value | cross_repo_split stringclasses 1
value | test_file stringlengths 7 121 | test_function stringlengths 1 108 | assertion_type stringclasses 32
values | difficulty stringclasses 8
values | context_lines int32 3 600 | prefix large_stringlengths 44 113k | target large_stringlengths 1 498 | anchor_sha stringclasses 400
values | anchor_index int32 0 951 | qna_source stringclasses 1
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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/integrations/pytorch/models/test_kimcnn.py | test_init_parameters_default | self.assertEqual | complex_expr | 24 | import unittest
import pytest
from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
class KimCNNInitTest(unittest.TestCase):
DEFAULT_KERNEL_HEIGHTS = [3, 4, 5]
def test_init_parameters_default(self):
vocab_size = 1000
max_seq_length = 50
model = KimCNN(vocab_s... | model.pool_sizes) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/integrations/pytorch/models/test_kimcnn.py | test_init_parameters_default | self.assertEqual | complex_expr | 37 | import unittest
import pytest
from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
class KimCNNInitTest(unittest.TestCase):
DEFAULT_KERNEL_HEIGHTS = [3, 4, 5]
def test_init_parameters_default(self):
vocab_size = 1000
max_seq_length = 50
model = KimCNN(vocab_s... | pool.kernel_size) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/integrations/pytorch/models/test_kimcnn.py | test_init_parameters_specific | self.assertEqual | complex_expr | 49 | import unittest
import pytest
from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
class KimCNNInitTest(unittest.TestCase):
DEFAULT_KERNEL_HEIGHTS = [3, 4, 5]
def test_init_parameters_specific(self):
vocab_size = 1000
max_seq_length = 50
num_classes = 3
... | conv.in_channels) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/integrations/transformers/classifiers/test_classification.py | test_transformer_model_arguments_init | self.assertEqual | complex_expr | 23 | import os
import unittest
import pytest
import small_text
import numpy as np
from importlib import reload
from unittest.mock import patch
from small_text.base import LABEL_UNLABELED
from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
from small_text.training.early_stopping import EarlyStoppin... | model_args.model) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/integrations/transformers/utils/test_classification.py | test_initialize_transformer_components | self.assertEqual | complex_expr | 52 | import unittest
import pytest
import numpy as np
from unittest.mock import patch, MagicMock
from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
class ClassificationUtilsTest(unittest.TestCase):
def test_initialize_transformer_components(self):
transformer_model = TransformerModel... | kwargs['config']) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/test_active_learner.py | test_init | self.assertIsNone | complex_expr | 117 | import unittest
import numpy as np
from unittest.mock import call, patch, Mock, ANY
from numpy.testing import assert_array_equal
from scipy import sparse
from scipy.sparse import csr_matrix, vstack
from small_text.active_learner import (
AbstractPoolBasedActiveLearner,
ActiveLearner,
PoolBasedActiveLearne... | active_learner.y) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/test_base.py | test_check_optional_dependency | self.assertEqual | complex_expr | 18 | import unittest
import small_text
from small_text.base import check_optional_dependency
from small_text.exceptions import MissingOptionalDependencyError
class OptionalDependenciesTest(unittest.TestCase):
def test_check_optional_dependency(self):
small_text.base.OPTIONAL_DEPENDENCIES['not_installed'] = 'm... | context.expected) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/utils/test_classification.py | test_empty_result_single_label_prediction | self.assertEqual | complex_expr | 20 | import unittest
import numpy as np
from numpy.testing import assert_array_equal
from scipy.sparse import csr_matrix
from sklearn.preprocessing import MultiLabelBinarizer
from small_text.utils.classification import empty_result, prediction_result
from tests.utils.testing import assert_csr_matrix_equal
class Classifi... | prediction.dtype) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/utils/test_classification.py | test_empty_result_single_label_prediction | self.assertEqual | complex_expr | 21 | import unittest
import numpy as np
from numpy.testing import assert_array_equal
from scipy.sparse import csr_matrix
from sklearn.preprocessing import MultiLabelBinarizer
from small_text.utils.classification import empty_result, prediction_result
from tests.utils.testing import assert_csr_matrix_equal
class Classifi... | prediction.shape) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/utils/test_clustering.py | test_init_kmeans_plusplus_safe | self.assertEqual | complex_expr | 26 | import unittest
import pytest
import numpy as np
from unittest.mock import patch
from small_text.utils.clustering import init_kmeans_plusplus_safe
class ClusteringUtilsTest(unittest.TestCase):
@patch('small_text.utils.clustering.warnings.warn')
@patch('small_text.utils.clustering.choice')
@patch('small_... | indices.shape[0]) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/integrations/pytorch/classifiers/test_kimcnn.py | test_init_default_parameters | self.assertIsNotNone | complex_expr | 27 | import unittest
import pytest
import numpy as np
from unittest.mock import patch
from small_text.base import LABEL_UNLABELED
from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
from small_text.training.metrics import Metric
from small_text.training.early_stopping import EarlyStopping, EarlySto... | classifier.device) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/integrations/transformers/classifiers/test_classification.py | test_transformer_model_arguments_init | self.assertEqual | complex_expr | 24 | import os
import unittest
import pytest
import small_text
import numpy as np
from importlib import reload
from unittest.mock import patch
from small_text.base import LABEL_UNLABELED
from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
from small_text.training.early_stopping import EarlyStoppin... | model_args.config) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/integrations/transformers/classifiers/test_classification.py | test_init | self.assertIsNotNone | complex_expr | 35 | import os
import unittest
import pytest
import small_text
import numpy as np
from importlib import reload
from unittest.mock import patch
from small_text.base import LABEL_UNLABELED
from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
from small_text.training.early_stopping import EarlyStoppin... | classifier.device) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/utils/test_labels.py | test_list_to_csr | self.assertEqual | complex_expr | 30 | import unittest
import numpy as np
from numpy.testing import assert_array_equal
from scipy.sparse import csr_matrix
from small_text.base import LABEL_IGNORED, LABEL_UNLABELED
from small_text.utils.labels import (
concatenate,
csr_to_list,
get_flattened_unique_labels,
get_ignored_labels_mask,
get_n... | result.data.dtype) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/integration/small_text/integrations/pytorch/classifiers/test_kimcnn.py | test_fit_and_predict_proba_dropout_sampling | self.assertSequenceEqual | complex_expr | 36 | import unittest
import pytest
import numpy as np
from packaging.version import parse, Version
from unittest.mock import patch
from unittest import mock
from unittest.mock import Mock
from scipy.sparse import issparse
from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
from small_text.training... | y_pred_proba.shape) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/integration/small_text/integrations/transformers/classifiers/test_classification.py | test_fit_with_class_weight | self.assertIsNotNone | complex_expr | 35 | import unittest
import pytest
import warnings
import numpy as np
from packaging.version import parse, Version
from unittest import mock
from unittest.mock import patch, Mock
from scipy.sparse import issparse
from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
from small_text.training.early_s... | clf.class_weights_) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/integration/small_text/integrations/transformers/classifiers/test_classification.py | test_fit_and_predict_proba_dropout_sampling | self.assertSequenceEqual | complex_expr | 39 | import unittest
import pytest
import warnings
import numpy as np
from packaging.version import parse, Version
from unittest import mock
from unittest.mock import patch, Mock
from scipy.sparse import issparse
from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
from small_text.training.early_s... | y_pred_proba.shape) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/integration/small_text/integrations/transformers/classifiers/test_setfit.py | test_fit_and_predict | self.assertEqual | complex_expr | 55 | import unittest
import pytest
import numpy as np
from unittest.mock import create_autospec, patch
from scipy.sparse import issparse
from small_text.data.datasets import TextDataset
from small_text.exceptions import UnsupportedOperationException
from small_text.integrations.pytorch.exceptions import PytorchNotFoundErr... | y_pred_proba.shape) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/integrations/pytorch/classifiers/test_kimcnn.py | test_init_default_parameters | self.assertEqual | complex_expr | 37 | import unittest
import pytest
import numpy as np
from unittest.mock import patch
from small_text.base import LABEL_UNLABELED
from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
from small_text.training.metrics import Metric
from small_text.training.early_stopping import EarlyStopping, EarlySto... | classifier.dropout) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/integration/small_text/integrations/pytorch/classifiers/test_kimcnn_embeddings.py | test_embed | self.assertEqual | complex_expr | 37 | import unittest
import pytest
import numpy as np
from unittest import mock
from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
def default_module_selector(m):
return m['fc']
class _KimCNNEmbeddingTest(object):
def test_embed(self):
_, train, tokenizer = trec_dataset() # us... | embeddings.shape[0]) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/data/test_datasets.py | test_dataset_len | self.assertEqual | func_call | 38 | import unittest
import numpy as np
from copy import copy
from numpy.testing import assert_array_equal
from scipy.sparse import csr_matrix
from small_text.base import LABEL_UNLABELED
from small_text.data.datasets import is_multi_label
from small_text.data.datasets import (
SklearnDataset,
DatasetView,
Te... | len(ds)) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/integrations/pytorch/test_datasets.py | test_datasen_len | self.assertEqual | func_call | 42 | import unittest
import pytest
import numpy as np
from abc import abstractmethod
from scipy.sparse import csr_matrix
from numpy.testing import assert_array_equal
from parameterized import parameterized_class
from small_text.base import LABEL_UNLABELED
from small_text.data.exceptions import UnsupportedOperationExcept... | len(ds)) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/integrations/pytorch/test_datasets.py | test_get_features | self.assertEqual | func_call | 42 | import unittest
import pytest
import numpy as np
from abc import abstractmethod
from scipy.sparse import csr_matrix
from numpy.testing import assert_array_equal
from parameterized import parameterized_class
from small_text.base import LABEL_UNLABELED
from small_text.data.exceptions import UnsupportedOperationExcept... | len(ds.x)) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/integrations/transformers/test_datasets.py | test_get_features | self.assertEqual | func_call | 39 | import unittest
import pytest
import numpy as np
from scipy.sparse import csr_matrix
from numpy.testing import assert_array_equal
from parameterized import parameterized_class
from small_text.base import LABEL_UNLABELED
from small_text.integrations.pytorch.datasets import PytorchDatasetView
from small_text.integrat... | len(ds.x)) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/integration/small_text/integrations/transformers/test_datasets.py | test_indexing | self.assertEqual | func_call | 16 | import unittest
import pytest
import numpy as np
from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
class TransformersDatasetTest(unittest.TestCase):
def test_indexing(self):
data = random_transformer_dataset(10)
dataset = TransformersDataset(data)
subset = data... | len(subset)) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/data/test_datatset_views.py | test_indexing_single_index | self.assertEqual | func_call | 77 | import unittest
import numpy as np
from copy import copy
from numpy.testing import assert_array_equal
from scipy.sparse import csr_matrix
from small_text.data.datasets import (
DatasetView,
SklearnDataset,
SklearnDatasetView,
TextDataset,
TextDatasetView
)
from small_text.data.exceptions import U... | len(result)) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/data/test_sampling.py | test_stratified_sampling_with_gaps | self.assertEqual | func_call | 20 | import unittest
import numpy as np
from numpy.testing import assert_array_equal
from scipy.sparse import csr_matrix
from small_text.data import balanced_sampling, stratified_sampling
from small_text.data.sampling import _get_class_histogram
from small_text.utils.labels import list_to_csr
class StratifiedSamplingTest... | len(counts)) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/integrations/pytorch/test_datasets.py | test_indexing_single_index | self.assertEqual | func_call | 44 | import unittest
import pytest
import numpy as np
from abc import abstractmethod
from scipy.sparse import csr_matrix
from numpy.testing import assert_array_equal
from parameterized import parameterized_class
from small_text.base import LABEL_UNLABELED
from small_text.data.exceptions import UnsupportedOperationExcept... | len(result)) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/integrations/transformers/test_datasets.py | test_indexing_single_index | self.assertEqual | func_call | 41 | import unittest
import pytest
import numpy as np
from scipy.sparse import csr_matrix
from numpy.testing import assert_array_equal
from parameterized import parameterized_class
from small_text.base import LABEL_UNLABELED
from small_text.integrations.pytorch.datasets import PytorchDatasetView
from small_text.integrat... | len(result)) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/test_active_learner.py | test_query_with_custom_representation_invalid | assert | func_call | 159 | import unittest
import numpy as np
from unittest.mock import call, patch, Mock, ANY
from numpy.testing import assert_array_equal
from scipy import sparse
from scipy.sparse import csr_matrix, vstack
from small_text.active_learner import (
AbstractPoolBasedActiveLearner,
ActiveLearner,
PoolBasedActiveLearne... | len(dataset) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/integration/small_text/integrations/transformers/test_datasets.py | test_init_and_len | self.assertEqual | func_call | 15 | import unittest
import pytest
import numpy as np
from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
class TransformersDatasetTest(unittest.TestCase):
def test_init_and_len(self):
data = random_transformer_dataset(10)
dataset = TransformersDataset(data)
self.ass... | len(dataset)) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/data/test_sampling.py | test_stratified_sampling | self.assertEqual | func_call | 20 | import unittest
import numpy as np
from numpy.testing import assert_array_equal
from scipy.sparse import csr_matrix
from small_text.data import balanced_sampling, stratified_sampling
from small_text.data.sampling import _get_class_histogram
from small_text.utils.labels import list_to_csr
class StratifiedSamplingTest... | len(indices)) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/initialization/test_strategies.py | test_random_initialization | self.assertEqual | func_call | 21 | import unittest
import numpy as np
from unittest.mock import patch
from scipy.sparse import csr_matrix
from small_text.data import balanced_sampling, stratified_sampling
from small_text.initialization import random_initialization, \
random_initialization_stratified, random_initialization_balanced
from tests.util... | len(indices)) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/integrations/pytorch/test_dataset_construction.py | test_from_arrays_with_lists | self.assertEqual | func_call | 19 | import unittest
import pytest
import numpy as np
from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
from tests.utils.datasets import random_labeling, random_labels, _train_tokenizer
class PytorchTextClassificationDatasetSingleLabelTest(unittest.TestCase):
def test_from_arrays_with_lists... | len(dataset)) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/integrations/transformers/test_dataset_construction.py | test_from_arrays_with_lists | self.assertEqual | func_call | 18 | import unittest
import pytest
import numpy as np
from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
from tests.utils.datasets import random_labeling, random_labels
class TransformersDatasetSingleLabelTest(unittest.TestCase):
def test_from_arrays_with_lists(self):
texts = [f'trai... | len(dataset)) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/query_strategies/test_coresets.py | test_simple_query | self.assertEqual | func_call | 39 | import unittest
import numpy as np
from small_text.classifiers import ConfidenceEnhancedLinearSVC
from small_text.data.datasets import SklearnDataset
from small_text.query_strategies import (
EmptyPoolException,
greedy_coreset,
GreedyCoreset,
lightweight_coreset,
LightweightCoreset
)
from tests.un... | len(indices)) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/query_strategies/test_strategies.py | test_simple_query | self.assertEqual | func_call | 73 | import unittest
import numpy as np
from numpy.testing import assert_array_equal, assert_array_almost_equal
from scipy.sparse import csr_matrix
from sklearn.preprocessing import normalize
from unittest.mock import patch, Mock
from small_text.classifiers import ConfidenceEnhancedLinearSVC, SklearnClassifier
from small... | len(indices)) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/test_active_learner.py | test_update_with_unlabeled_instances | self.assertEqual | func_call | 169 | import unittest
import numpy as np
from unittest.mock import call, patch, Mock, ANY
from numpy.testing import assert_array_equal
from scipy import sparse
from scipy.sparse import csr_matrix, vstack
from small_text.active_learner import (
AbstractPoolBasedActiveLearner,
ActiveLearner,
PoolBasedActiveLearne... | len(dataset)) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/test_active_learner.py | test_query_update_mismatch | self.assertEqual | func_call | 147 | import unittest
import numpy as np
from unittest.mock import call, patch, Mock, ANY
from numpy.testing import assert_array_equal
from scipy import sparse
from scipy.sparse import csr_matrix, vstack
from small_text.active_learner import (
AbstractPoolBasedActiveLearner,
ActiveLearner,
PoolBasedActiveLearne... | len(indices)) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/training/test_metrics.py | test_repr | self.assertEqual | func_call | 10 | import unittest
from small_text.training.metrics import Metric
class MetricsTest(unittest.TestCase):
def test_repr(self):
metric = Metric('train_acc', dtype=float, lower_is_better=False)
self.assertEqual('Metric(\'train_acc\', dtype=float, lower_is_better=False)', | repr(metric)) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/integrations/pytorch/test_strategies.py | test_badge_str | self.assertEqual | func_call | 14 | import unittest
import pytest
import numpy as np
from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
class BADGETest(unittest.TestCase):
def test_badge_str(self):
strategy = BADGE(2)
expected_str = 'BADGE(num_classes=2)'
self.assertEqual(expected_str, | str(strategy)) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/query_strategies/test_bayesian.py | test_str | self.assertEqual | func_call | 22 | import unittest
import numpy as np
from small_text.classifiers import ConfidenceEnhancedLinearSVC
from small_text.query_strategies.bayesian import BALD, _bald
from tests.utils.datasets import random_sklearn_dataset
from tests.utils.testing import assert_array_equal
class BALDTest(unittest.TestCase):
def _get_cl... | str(strategy)) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/query_strategies/test_class_balancing.py | test_class_balancer_str | self.assertEqual | func_call | 24 | import unittest
import numpy as np
from unittest import mock
from small_text import (
ConfidenceEnhancedLinearSVC,
RandomSampling,
SklearnClassifier,
SklearnDataset
)
from small_text.data.sampling import _get_class_histogram
from small_text.query_strategies.class_balancing import ClassBalancer, _get_r... | str(strategy)) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/query_strategies/test_coresets.py | test_str | self.assertEqual | func_call | 37 | import unittest
import numpy as np
from small_text.classifiers import ConfidenceEnhancedLinearSVC
from small_text.data.datasets import SklearnDataset
from small_text.query_strategies import (
EmptyPoolException,
greedy_coreset,
GreedyCoreset,
lightweight_coreset,
LightweightCoreset
)
from tests.un... | str(strategy)) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/utils/test_annotations.py | test_deprecate_function | self.assertTrue | func_call | 25 | import unittest
from packaging import version
from unittest.mock import patch
from small_text.utils.annotations import (
deprecated,
experimental,
DeprecationError,
ExperimentalWarning
)
class DeprecationUtilsTest(unittest.TestCase):
def test_deprecate_function(self):
from small_text.uti... | myfunc('foo')) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/integration/small_text/integrations/pytorch/models/test_kimcnn.py | test_simple_prediction | self.assertEqual | func_call | 25 | import unittest
import pytest
from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
class KimCNNIntegrationTest(unittest.TestCase):
def test_simple_prediction(self):
"""
Simple prediction with default weights (untrained).
"""
n = 10
vocab_size = 11
... | output.size(0)) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/integration/small_text/integrations/pytorch/models/test_kimcnn.py | test_simple_prediction | self.assertEqual | func_call | 26 | import unittest
import pytest
from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
class KimCNNIntegrationTest(unittest.TestCase):
def test_simple_prediction(self):
"""
Simple prediction with default weights (untrained).
"""
n = 10
vocab_size = 11
... | output.size(1)) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/integrations/pytorch/utils/test_loss.py | test_loss_fct | self.assertEqual | func_call | 17 | import unittest
import pytest
from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
class LossTest(unittest.TestCase):
def test_loss_fct(self):
loss_fct = _LossAdapter2DTo1D(BCEWithLogitsLoss(reduction='none'))
input = torch.randn(5, 3)
target = torch.empty(5, 3).ra... | len(loss.shape)) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/integration/classifiers/test_svm.py | test_predict_binary_with_probas | self.assertEqual | func_call | 31 | import unittest
from sklearn.datasets import fetch_20newsgroups
from sklearn.feature_extraction.text import CountVectorizer
from small_text.classifiers import ConfidenceEnhancedLinearSVC
class ConfidenceEnhancedLinearSVCIntegrationTest(unittest.TestCase):
def _get_20news_vectors(self, categories=None):
... | len(proba.shape)) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/integration/small_text/integrations/pytorch/classifiers/test_kimcnn.py | test_fit_and_predict | self.assertTrue | func_call | 45 | import unittest
import pytest
import numpy as np
from packaging.version import parse, Version
from unittest.mock import patch
from unittest import mock
from unittest.mock import Mock
from scipy.sparse import issparse
from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
from small_text.training... | issparse(y_pred)) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/integration/small_text/integrations/transformers/classifiers/test_classification.py | test_fit_and_predict | self.assertTrue | func_call | 47 | import unittest
import pytest
import warnings
import numpy as np
from packaging.version import parse, Version
from unittest import mock
from unittest.mock import patch, Mock
from scipy.sparse import issparse
from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
from small_text.training.early_s... | issparse(y_pred)) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/integration/small_text/integrations/transformers/classifiers/test_setfit.py | test_fit_and_predict | self.assertTrue | func_call | 45 | import unittest
import pytest
import numpy as np
from unittest.mock import create_autospec, patch
from scipy.sparse import issparse
from small_text.data.datasets import TextDataset
from small_text.exceptions import UnsupportedOperationException
from small_text.integrations.pytorch.exceptions import PytorchNotFoundErr... | issparse(y_pred)) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/integrations/pytorch/models/test_kimcnn.py | test_init_parameters_default | self.assertEqual | func_call | 35 | import unittest
import pytest
from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
class KimCNNInitTest(unittest.TestCase):
DEFAULT_KERNEL_HEIGHTS = [3, 4, 5]
def test_init_parameters_default(self):
vocab_size = 1000
max_seq_length = 50
model = KimCNN(vocab_s... | len(model.pools)) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/integrations/pytorch/models/test_kimcnn.py | test_init_parameters_default | self.assertEqual | func_call | 39 | import unittest
import pytest
from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
class KimCNNInitTest(unittest.TestCase):
DEFAULT_KERNEL_HEIGHTS = [3, 4, 5]
def test_init_parameters_default(self):
vocab_size = 1000
max_seq_length = 50
model = KimCNN(vocab_s... | len(model.convs)) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/integration/classifiers/test_svm.py | test_predict_binary | self.assertEqual | func_call | 27 | import unittest
from sklearn.datasets import fetch_20newsgroups
from sklearn.feature_extraction.text import CountVectorizer
from small_text.classifiers import ConfidenceEnhancedLinearSVC
class ConfidenceEnhancedLinearSVCIntegrationTest(unittest.TestCase):
def _get_20news_vectors(self, categories=None):
... | len(y_pred.shape)) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/data/test_splits.py | test_split_data_random | self.assertEqual | func_call | 20 | import unittest
import numpy as np
from unittest import mock
from small_text.data.sampling import balanced_sampling, stratified_sampling
from small_text.data.splits import split_data
from tests.utils.datasets import random_sklearn_dataset
class SplitDataTest(unittest.TestCase):
@mock.patch('numpy.random.permut... | len(subset_train)) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/data/test_splits.py | test_split_data_random | self.assertEqual | func_call | 21 | import unittest
import numpy as np
from unittest import mock
from small_text.data.sampling import balanced_sampling, stratified_sampling
from small_text.data.splits import split_data
from tests.utils.datasets import random_sklearn_dataset
class SplitDataTest(unittest.TestCase):
@mock.patch('numpy.random.permut... | len(subset_valid)) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/integrations/pytorch/classifiers/test_kimcnn.py | test_fit_with_validation_set | self.assertEqual | func_call | 34 | import unittest
import pytest
import numpy as np
from unittest.mock import patch
from small_text.base import LABEL_UNLABELED
from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
from small_text.training.metrics import Metric
from small_text.training.early_stopping import EarlyStopping, EarlySto... | len(call_args[0])) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/integrations/pytorch/classifiers/test_kimcnn.py | test_fit_with_validation_set | self.assertEqual | func_call | 35 | import unittest
import pytest
import numpy as np
from unittest.mock import patch
from small_text.base import LABEL_UNLABELED
from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
from small_text.training.metrics import Metric
from small_text.training.early_stopping import EarlyStopping, EarlySto... | len(call_args[1])) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/integrations/transformers/classifiers/test_classification.py | test_fit_with_validation_set | self.assertEqual | func_call | 36 | import os
import unittest
import pytest
import small_text
import numpy as np
from importlib import reload
from unittest.mock import patch
from small_text.base import LABEL_UNLABELED
from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
from small_text.training.early_stopping import EarlyStoppin... | len(call_args[0])) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/integration/small_text/integrations/pytorch/test_serialization.py | test_and_load_with_file_str | self.assertEqual | func_call | 45 | import unittest
import tempfile
import pytest
import numpy as np
from numpy.testing import assert_array_equal
from small_text.active_learner import PoolBasedActiveLearner
from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
from small_text.query_strategies import RandomSampling
from tests.ut... | len(weights_after)) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/integration/small_text/integrations/transformers/test_serialization.py | test_and_load_with_file_str | self.assertEqual | func_call | 53 | import unittest
import tempfile
import pytest
import numpy as np
from numpy.testing import assert_array_equal
from small_text.active_learner import PoolBasedActiveLearner
from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
from small_text.query_strategies import RandomSampling
from small_te... | len(weights_after)) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/utils/test_system.py | test_get_offline_mode | self.assertFalse | func_call | 19 | import os
import unittest
from unittest.mock import patch
from small_text.utils.system import (
OFFLINE_MODE_VARIABLE,
PROGRESS_BARS_VARIABLE,
TMP_DIR_VARIABLE,
get_offline_mode,
get_progress_bars_default,
get_tmp_dir_base
)
class SystemUtilsTest(unittest.TestCase):
def test_get_offline_... | get_offline_mode()) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/utils/test_system.py | test_get_tmp_dir_base | self.assertIsNone | func_call | 19 | import os
import unittest
from unittest.mock import patch
from small_text.utils.system import (
OFFLINE_MODE_VARIABLE,
PROGRESS_BARS_VARIABLE,
TMP_DIR_VARIABLE,
get_offline_mode,
get_progress_bars_default,
get_tmp_dir_base
)
class SystemUtilsTest(unittest.TestCase):
def test_get_tmp_dir_... | get_tmp_dir_base()) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/integration/small_text/query_strategies/test_query_strategies.py | test_str | self.assertEqual | func_call | 45 | import unittest
import pytest
import numpy as np
from unittest.mock import Mock, patch
from numpy.testing import assert_array_equal
from sklearn.base import clone
from sklearn.preprocessing import normalize
from small_text.query_strategies.exceptions import EmptyPoolException
from small_text.classifiers import Conf... | str(query_strategy)) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/query_strategies/test_multi_label.py | test_init_with_nondefault_args | self.assertEqual | func_call | 20 | import unittest
import numpy as np
from scipy.sparse import csr_matrix
from small_text.query_strategies.multi_label import (
CategoryVectorInconsistencyAndRanking,
_label_cardinality_inconsistency,
LabelCardinalityInconsistency,
_uncertainty_weighted_label_cardinality_inconsistency,
AdaptiveActive... | str(query_strategy)) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/utils/test_labels.py | test_get_num_labels_sparse | self.assertEqual | func_call | 31 | import unittest
import numpy as np
from numpy.testing import assert_array_equal
from scipy.sparse import csr_matrix
from small_text.base import LABEL_IGNORED, LABEL_UNLABELED
from small_text.utils.labels import (
concatenate,
csr_to_list,
get_flattened_unique_labels,
get_ignored_labels_mask,
get_n... | get_num_labels(mat)) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/integration/small_text/integrations/transformers/utils/test_setfit.py | test_truncate_texts | self.assertEqual | func_call | 27 | import unittest
import pytest
import numpy as np
from small_text.data.datasets import TextDataset
from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
class SetFitUtilsTest(unittest.TestCase):
def test_truncate_texts(self):
model_args = SetFitModelArguments('sentence-transformers/p... | len(result_datasets)) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/integration/small_text/integrations/transformers/classifiers/test_classification_embeddings.py | test_embed | self.assertEqual | func_call | 34 | import unittest
import pytest
from unittest import mock
from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
from tests.utils.datasets import twenty_news_transformers
from tests.utils.testing import assert_array_not_equal
class _EmbeddingTest(object):
def test_embed(self):
classifi... | len(embeddings.shape)) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/integration/small_text/query_strategies/test_base.py | test_argselect_maximum | assert_* | func_call | 18 | import unittest
import numpy as np
from numpy.testing import assert_array_almost_equal
from small_text.query_strategies.base import argselect
class ArgselectIntegrationTest(unittest.TestCase):
def test_argselect_maximum(self, n=5):
for _ in range(1000):
arr = np.random.randn(100)
... | np.sort(arr[indices])) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/query_strategies/test_base.py | test_argselect_without_ties_maximum | assert_* | func_call | 22 | import unittest
import scipy
import numpy as np
from small_text.classifiers.classification import SklearnClassifier, ConfidenceEnhancedLinearSVC
from small_text.query_strategies.base import ClassificationType, argselect, constraints
from small_text.query_strategies.strategies import RandomSampling
from numpy.testing... | np.sort(arr[indices])) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/utils/test_datetime.py | test_format_timedelta | self.assertEqual | func_call | 11 | import datetime
import unittest
from small_text.utils.datetime import format_timedelta
class DatetimeUtilsTest(unittest.TestCase):
def test_format_timedelta(self):
td1 = datetime.timedelta(hours=9, minutes=0, seconds=59)
self.assertEqual('09:00:59', | format_timedelta(td1)) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/utils/test_datetime.py | test_format_timedelta | self.assertEqual | func_call | 14 | import datetime
import unittest
from small_text.utils.datetime import format_timedelta
class DatetimeUtilsTest(unittest.TestCase):
def test_format_timedelta(self):
td1 = datetime.timedelta(hours=9, minutes=0, seconds=59)
self.assertEqual('09:00:59', format_timedelta(td1))
td2 = datetime.... | format_timedelta(td2)) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/integration/small_text/integrations/pytorch/test_datasets.py | test_dataset_to_copy | self.assertFalse | func_call | 32 | import unittest
import pytest
import numpy as np
from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
class PytorchTextClassificationDatasetTest(unittest.TestCase):
def test_dataset_to_copy(self):
ds = random_text_classification_dataset(10)
self.assertTrue(ds.target_label... | hasattr(ds_new, 'TEST')) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/initialization/test_strategies.py | test_random_initialization | self.assertEqual | func_call | 22 | import unittest
import numpy as np
from unittest.mock import patch
from scipy.sparse import csr_matrix
from small_text.data import balanced_sampling, stratified_sampling
from small_text.initialization import random_initialization, \
random_initialization_stratified, random_initialization_balanced
from tests.util... | len(np.unique(indices))) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/integrations/transformers/utils/test_classification.py | _assert_params | self.assertTrue | func_call | 16 | import unittest
import pytest
import numpy as np
from unittest.mock import patch, MagicMock
from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
class BuildLayerSpecificParamsTest(unittest.TestCase):
def _assert_params(self, params, base_lr, num_different_lrs):
self.assertIsNotNon... | isinstance(param, dict)) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/integration/small_text/integrations/pytorch/test_datasets.py | test_dataset_to | self.assertTrue | func_call | 16 | import unittest
import pytest
import numpy as np
from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
class PytorchTextClassificationDatasetTest(unittest.TestCase):
def test_dataset_to(self):
ds = random_text_classification_dataset(10)
tensor_is_on_cpu = [item[PytorchText... | np.all(tensor_is_on_cpu)) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/data/test_splits.py | test_split_data_random_return_indices | self.assertEqual | func_call | 20 | import unittest
import numpy as np
from unittest import mock
from small_text.data.sampling import balanced_sampling, stratified_sampling
from small_text.data.splits import split_data
from tests.utils.datasets import random_sklearn_dataset
class SplitDataTest(unittest.TestCase):
@mock.patch('numpy.random.permut... | len(indices_train.shape)) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/query_strategies/test_bayesian.py | test_bald_with_only_zeros_no_epsilon | self.assertTrue | func_call | 17 | import unittest
import numpy as np
from small_text.classifiers import ConfidenceEnhancedLinearSVC
from small_text.query_strategies.bayesian import BALD, _bald
from tests.utils.datasets import random_sklearn_dataset
from tests.utils.testing import assert_array_equal
class BALDHelperTest(unittest.TestCase):
def t... | np.all(np.isnan(result))) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/integration/small_text/query_strategies/test_query_strategies.py | test_query_when_unlabeled_pool_is_smaller_than_k | assert_* | variable | 70 | import unittest
import pytest
import numpy as np
from unittest.mock import Mock, patch
from numpy.testing import assert_array_equal
from sklearn.base import clone
from sklearn.preprocessing import normalize
from small_text.query_strategies.exceptions import EmptyPoolException
from small_text.classifiers import Conf... | y) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/initialization/test_strategies.py | test_random_initialization_stratified | assert_* | variable | 24 | import unittest
import numpy as np
from unittest.mock import patch
from scipy.sparse import csr_matrix
from small_text.data import balanced_sampling, stratified_sampling
from small_text.initialization import random_initialization, \
random_initialization_stratified, random_initialization_balanced
from tests.util... | y) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/query_strategies/test_class_balancing.py | test_subsample_when_not_enough_samples | assert_* | variable | 40 | import unittest
import numpy as np
from unittest import mock
from small_text import (
ConfidenceEnhancedLinearSVC,
RandomSampling,
SklearnClassifier,
SklearnDataset
)
from small_text.data.sampling import _get_class_histogram
from small_text.query_strategies.class_balancing import ClassBalancer, _get_r... | n) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/utils/testing.py | assert_array_not_equal | assert_* | variable | 9 | import numpy as np
from scipy.sparse import csr_matrix
from numpy.testing import assert_array_equal, assert_raises
def assert_array_not_equal(x, y):
assert_raises(AssertionError, assert_array_equal, x, | y) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/test_active_learner.py | test_query | assert_* | variable | 160 | import unittest
import numpy as np
from unittest.mock import call, patch, Mock, ANY
from numpy.testing import assert_array_equal
from scipy import sparse
from scipy.sparse import csr_matrix, vstack
from small_text.active_learner import (
AbstractPoolBasedActiveLearner,
ActiveLearner,
PoolBasedActiveLearne... | ANY) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/utils/test_logging.py | test_debug | assert_* | variable | 19 | import logging
import unittest
from logging import Logger, INFO, DEBUG
from unittest.mock import patch
from small_text import VerbosityLogger, verbosity_logger, VERBOSITY_QUIET, VERBOSITY_ALL
class VerbosityLoggerTest(unittest.TestCase):
@patch('small_text.utils.logging.Logger.debug')
def test_debug(self, d... | msg) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/utils/misc.py | random_seed | assert | variable | 21 | import os
import numpy as np
def increase_dense_labels_safe(ds):
"""Increase the labels without leaving the range of the target_labels property.
The only purpose of this operation is to alter the labels so we can check for a change later."""
# modulo needs not be used when single index result is 0
if... | seed | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/stopping_criteria/test_base.py | test_first_stop_call | self.assertFalse | variable | 17 | import unittest
import numpy as np
from numpy.testing import assert_array_equal, assert_array_almost_equal
from small_text.stopping_criteria.base import DeltaFScore
class DeltaFScoreTest(unittest.TestCase):
def test_first_stop_call(self):
stopping_criterion = DeltaFScore(2)
predictions = np.arr... | stop) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/stopping_criteria/test_change.py | test_first_stop_call | self.assertFalse | variable | 20 | import unittest
import numpy as np
from numpy.testing import assert_array_equal
from small_text.stopping_criteria.change import ClassificationChange
from small_text.utils.labels import list_to_csr
from tests.utils.testing import assert_csr_matrix_equal
class ClassificationChangeSingleLabelStopTest(unittest.TestCase... | stop) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/stopping_criteria/test_kappa.py | test_first_stop_call | self.assertFalse | variable | 17 | import unittest
import numpy as np
from numpy.testing import assert_array_equal
from small_text.stopping_criteria.kappa import KappaAverage, _adapted_cohen_kappa_score
class KappaAverageTest(unittest.TestCase):
def test_first_stop_call(self):
stopping_criterion = KappaAverage(2)
predictions = n... | stop) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/stopping_criteria/test_uncertainty.py | test_first_stop_call | self.assertFalse | variable | 17 | import unittest
import numpy as np
from small_text.stopping_criteria.uncertainty import OverallUncertainty
class OverallUncertaintyTest(unittest.TestCase):
def test_first_stop_call(self):
stopping_criterion = OverallUncertainty(2)
proba = np.array([
[0.5, 0.5]
])
sto... | stop) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/stopping_criteria/test_utility.py | test_immedita_stop | self.assertTrue | variable | 11 | import unittest
from small_text.stopping_criteria.utility import MaxIterations
class MaxIterationsTest(unittest.TestCase):
def test_immedita_stop(self):
stopping_criterion = MaxIterations(1)
stop = stopping_criterion.stop()
self.assertTrue( | stop) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/utils/test_labels.py | test_get_ignored_labels_mask_dense | assert_* | variable | 29 | import unittest
import numpy as np
from numpy.testing import assert_array_equal
from scipy.sparse import csr_matrix
from small_text.base import LABEL_IGNORED, LABEL_UNLABELED
from small_text.utils.labels import (
concatenate,
csr_to_list,
get_flattened_unique_labels,
get_ignored_labels_mask,
get_n... | mask) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/integration/small_text/query_strategies/test_query_strategies.py | test_initialize_index_default_hnsw_kwargs | self.assertIsNotNone | variable | 50 | import unittest
import pytest
import numpy as np
from unittest.mock import Mock, patch
from numpy.testing import assert_array_equal
from sklearn.base import clone
from sklearn.preprocessing import normalize
from small_text.query_strategies.exceptions import EmptyPoolException
from small_text.classifiers import Conf... | index) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/data/test_dataset_construction.py | test_from_arrays_with_lists | assert_* | variable | 32 | import unittest
import numpy as np
from numpy.testing import assert_array_equal
from sklearn.feature_extraction.text import TfidfVectorizer
from unittest.mock import patch
from small_text.data import SklearnDataset, TextDataset
from tests.utils.datasets import random_labeling, random_labels
from tests.utils.testing i... | texts) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/data/test_datasets.py | test_set_labels | assert_* | variable | 42 | import unittest
import numpy as np
from copy import copy
from numpy.testing import assert_array_equal
from scipy.sparse import csr_matrix
from small_text.base import LABEL_UNLABELED
from small_text.data.datasets import is_multi_label
from small_text.data.datasets import (
SklearnDataset,
DatasetView,
Te... | y_new) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/integrations/pytorch/test_datasets.py | test_iter | self.assertEqual | variable | 45 | import unittest
import pytest
import numpy as np
from abc import abstractmethod
from scipy.sparse import csr_matrix
from numpy.testing import assert_array_equal
from parameterized import parameterized_class
from small_text.base import LABEL_UNLABELED
from small_text.data.exceptions import UnsupportedOperationExcept... | count) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/integrations/transformers/classifiers/test_setfit.py | test_init_model_loading_strategy_default | self.assertIsNotNone | variable | 33 | import os
import unittest
import pytest
import small_text
from importlib import reload
from packaging.version import parse, Version
from unittest.mock import patch
from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
from small_text.utils.logging import VERBOSITY_QUIET, VERBOSITY_MORE_VERBOSE
... | model) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/integrations/transformers/utils/test_classification.py | test_initialize_transformer_components | self.assertIsNotNone | variable | 32 | import unittest
import pytest
import numpy as np
from unittest.mock import patch, MagicMock
from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
class ClassificationUtilsTest(unittest.TestCase):
def test_initialize_transformer_components(self):
transformer_model = TransformerModel... | model) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/unit/small_text/utils/test_labels.py | test_remove_by_index_dense | assert_* | variable | 29 | import unittest
import numpy as np
from numpy.testing import assert_array_equal
from scipy.sparse import csr_matrix
from small_text.base import LABEL_IGNORED, LABEL_UNLABELED
from small_text.utils.labels import (
concatenate,
csr_to_list,
get_flattened_unique_labels,
get_ignored_labels_mask,
get_n... | y_new) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
webis-de/small-text | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | train | train | tests/utils/testing.py | assert_list_of_tensors_not_equal | assert_* | variable | 36 | import numpy as np
from scipy.sparse import csr_matrix
from numpy.testing import assert_array_equal, assert_raises
def assert_array_not_equal(x, y):
assert_raises(AssertionError, assert_array_equal, x, y)
def assert_csr_matrix_equal(x, y, check_shape=True):
if check_shape and x.shape != y.shape:
rai... | other) | 62e6f754f4a383f0bfba2f02ab272fe2ab5aac2e | 181 | v2_extractor_at_anchor |
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