repo_id stringclasses 400
values | commit_sha stringclasses 400
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
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/hypotheses/test_hypotheses.py | test_hypothesis | pytest.raises | complex_expr | 164 | import pandas as pd
import pytest
from pandera import (
Column,
DataFrameSchema,
Float,
Hypothesis,
Int,
String,
errors,
)
pytestmark = pytest.mark.skipif(
not SCIPY_INSTALLED, reason='needs "hypotheses" module dependencies'
)
def test_hypothesis():
"""Tests the different API call... | errors.SchemaError) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/mypy/test_pandas_static_type_checking.py | test_mypy_pandas_dataframe | assert | complex_expr | 68 | import importlib
import os
import re
import subprocess
import sys
import typing
from pathlib import Path
import pytest
import pandera as pa
from tests.mypy.pandas_modules import pandas_dataframe
test_module_dir = Path(os.path.dirname(__file__))
def _get_mypy_errors(
module_name: str,
stdout,
) -> typing.Lis... | expected["errcode"] | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_checks.py | test_check_groupby | pytest.raises | complex_expr | 83 | import copy
import pandas as pd
import pytest
from pandera import (
Bool,
Check,
Column,
DataFrameSchema,
Float,
Index,
Int,
SeriesSchema,
String,
errors,
)
from pandera.backends.pandas import error_formatters
def test_check_groupby() -> None:
"""Tests uses of groupby to s... | errors.SchemaError) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_errors.py | validate_unpickled | assert | complex_expr | 35 | import multiprocessing
import pickle
from typing import NoReturn, cast
import numpy as np
import pandas as pd
import pytest
from pandera import Check, Column, DataFrameSchema
from pandera.config import ValidationDepth, config_context
from pandera.engines import numpy_engine, pandas_engine
from pandera.errors import (... | exc_unpickled.foo_a | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_schema_components.py | test_index_schema | pytest.raises | complex_expr | 40 | import copy
from typing import Any, List, Optional, Tuple, Type
import numpy as np
import pandas as pd
import pytest
from pandera import (
Check,
Column,
DataFrameSchema,
DateTime,
Float,
Index,
Int,
MultiIndex,
SeriesSchema,
String,
errors,
)
from pandera.engines.pandas_en... | errors.SchemaError) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pyspark/test_pyspark_model.py | test_dataframe_schema_strict | pytest.raises | complex_expr | 57 | from contextlib import nullcontext as does_not_raise
from typing import Optional
import pyspark.sql.types as T
import pytest
from pyspark.sql import DataFrame
import pandera
import pandera.api.extensions as pax
import pandera.pyspark as pa
from pandera.api.pyspark.model import docstring_substitution
from pandera.conf... | pa.SchemaInitError) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/dask/test_dask.py | test_model_validation | pytest.raises | complex_expr | 25 | from typing import cast
import dask.dataframe as dd
import pandas as pd
import pytest
import pandera as pa
from pandera.typing.dask import DataFrame, Series
def test_model_validation() -> None:
"""
Test that model based pandera validation works with Dask DataFrames.
"""
df = pd.DataFrame(
{"c... | pa.errors.SchemaError) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/geopandas/test_from_to_format_conversions.py | test_to_format | pytest.raises | complex_expr | 140 | import io
import json
import tempfile
from typing import Any
import geopandas as gpd
import pandas as pd
import pytest
from shapely.geometry import Point
import pandera as pa
from pandera.engines import pandas_engine
from pandera.typing.geopandas import GeoDataFrame, GeoSeries
def custom_to_csv(data: Any, *args, **k... | pa.errors.SchemaError) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/geopandas/test_geopandas.py | test_schema_model | pytest.raises | complex_expr | 35 | import geopandas as gpd
import pandas as pd
import pytest
from shapely.geometry import Point, Polygon
import pandera as pa
from pandera.engines.geopandas_engine import Geometry
from pandera.typing import Series
from pandera.typing.geopandas import GeoDataFrame, GeoSeries
@pytest.mark.parametrize(
"data,invalid",
... | pa.errors.SchemaError) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/modin/test_schemas_on_modin.py | test_nullable | pytest.raises | complex_expr | 74 | import typing
from unittest.mock import MagicMock
import modin.pandas as mpd
import pandas as pd
import pytest
import pandera as pa
from pandera import extensions
from pandera.engines import numpy_engine, pandas_engine
from pandera.typing.modin import DataFrame, Index, Series, modin_version
from tests.strategies.test... | pa.errors.SchemaError) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_extensions.py | test_schema_model_field_kwarg | pytest.raises | complex_expr | 57 | from typing import Any, Optional, Union
import pandas as pd
import pytest
import pandera as pa
import pandera.strategies.pandas_strategies as st
from pandera import DataType, extensions
from pandera.api.checks import Check
from pandera.backends.pandas.register import register_pandas_backends
def register_pandas_back... | pa.errors.SchemaError) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_from_to_format_conversions.py | test_to_format | pytest.raises | complex_expr | 120 | import io
import tempfile
from typing import Any
import pandas as pd
import pytest
import pandera as pa
from pandera.engines import pandas_engine
def custom_to_csv(data: Any, *args, **kwargs):
"""
Function to save data to csv, used in to_format function.
Args:
data: The data object to be saved.
... | pa.errors.SchemaError) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_typing.py | test_init_pandas_dataframe_errors | pytest.raises | complex_expr | 53 | import re
from typing import Any, Dict, Optional, Type
import numpy as np
import pandas as pd
import pytest
import pandera as pa
from pandera.dtypes import DataType
from pandera.typing import DataFrame, Index, Series
def _test_literal_pandas_dtype(
model: Type[pa.DataFrameModel], pandas_dtype: DataType
):
sc... | pa.errors.SchemaError) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/polars/test_polars_check.py | test_polars_custom_check | pytest.raises | complex_expr | 73 | import polars as pl
import pytest
import pandera.polars as pa
from pandera.api.polars.utils import get_lazyframe_schema
from pandera.constants import CHECK_OUTPUT_KEY
def column_lf():
return pl.LazyFrame({"col": pl.Series([1, 2, 3, 4], dtype=int)})
def lf():
return pl.LazyFrame(
{
"col_1"... | pa.errors.SchemaError) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/polars/test_polars_container.py | test_coerce_column_dtype_error | pytest.raises | complex_expr | 87 | from typing import Optional
import polars as pl
import pytest
from hypothesis import given
from hypothesis import strategies as st
from polars.testing import assert_frame_equal
from polars.testing.parametric import column, dataframes
import pandera as pa
from pandera import Check as C
from pandera.api.polars.types im... | pa.errors.SchemaError) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/polars/test_polars_dataframe_generic.py | test_series_annotation | pytest.raises | complex_expr | 21 | import polars as pl
import pytest
import pandera.polars as pa
from pandera.typing.polars import LazyFrame, Series
def test_series_annotation():
class Model(pa.DataFrameModel):
col1: Series[pl.Int64]
data = pl.LazyFrame(
{
"col1": [1, 2, 3],
}
)
assert data.collect... | pa.errors.SchemaError) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/polars/test_polars_decorators.py | test_polars_dataframe_check_io | pytest.raises | complex_expr | 40 | import polars as pl
import pytest
import pandera.polars as pa
import pandera.typing.polars as pa_typing
def data() -> pl.DataFrame:
return pl.DataFrame({"a": [1, 2, 3]})
def invalid_data(data) -> pl.DataFrame:
return data.rename({"a": "b"})
def test_polars_dataframe_check_io(data, invalid_data):
# pylin... | pa.errors.SchemaError) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pyspark/test_pyspark_model.py | test_dataframe_schema_strict | pytest.raises | complex_expr | 46 | from contextlib import nullcontext as does_not_raise
from typing import Optional
import pyspark.sql.types as T
import pytest
from pyspark.sql import DataFrame
import pandera
import pandera.api.extensions as pax
import pandera.pyspark as pa
from pandera.api.pyspark.model import docstring_substitution
from pandera.conf... | pa.PysparkSchemaError) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pyspark/test_schemas_on_pyspark_pandas.py | test_nullable | pytest.raises | complex_expr | 176 | import re
import typing
from unittest.mock import MagicMock
import numpy as np
import pandas as pd
import pyspark
import pyspark.pandas as ps
import pytest
from packaging import version
import pandera as pa
from pandera.typing import pyspark as pyspark_typing
from pandera import dtypes, extensions, system
from pander... | pa.errors.SchemaError) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/hypotheses/test_hypotheses.py | test_two_sample_ttest_hypothesis_relationships | pytest.raises | complex_expr | 42 | import pandas as pd
import pytest
from pandera import (
Column,
DataFrameSchema,
Float,
Hypothesis,
Int,
String,
errors,
)
pytestmark = pytest.mark.skipif(
not SCIPY_INSTALLED, reason='needs "hypotheses" module dependencies'
)
def test_two_sample_ttest_hypothesis_relationships():
... | errors.SchemaInitError) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/polars/test_polars_container.py | test_missing_required_column_when_lazy_is_true | pytest.raises | complex_expr | 91 | from typing import Optional
import polars as pl
import pytest
from hypothesis import given
from hypothesis import strategies as st
from polars.testing import assert_frame_equal
from polars.testing.parametric import column, dataframes
import pandera as pa
from pandera import Check as C
from pandera.api.polars.types im... | pa.errors.SchemaErrors) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/polars/test_polars_dtypes.py | test_polars_from_parametrized_nested_dtype | assert | complex_expr | 54 | import datetime
import decimal
from decimal import Decimal
from typing import Sequence, Tuple, Union
import polars as pl
import pytest
from hypothesis import given, settings
from hypothesis import strategies as st
from polars.testing import assert_frame_equal
from polars.testing.parametric import dataframes
import pa... | polars_array_type.shape | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/polars/test_polars_dtypes.py | test_polars_nested_dtypes_shape | assert | complex_expr | 54 | import datetime
import decimal
from decimal import Decimal
from typing import Sequence, Tuple, Union
import polars as pl
import pytest
from hypothesis import given, settings
from hypothesis import strategies as st
from polars.testing import assert_frame_equal
from polars.testing.parametric import dataframes
import pa... | pandera_dtype.type.shape | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_typing.py | test_invalid_annotated_dtype | pytest.raises | complex_expr | 51 | import re
from typing import Any, Dict, Optional, Type
import numpy as np
import pandas as pd
import pytest
import pandera as pa
from pandera.dtypes import DataType
from pandera.typing import DataFrame, Index, Series
def _test_literal_pandas_dtype(
model: Type[pa.DataFrameModel], pandas_dtype: DataType
):
sc... | TypeError, match=err_msg) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_pydantic.py | test_invalid_typed_dataframe | pytest.raises | complex_expr | 27 | from typing import Optional
import pandas as pd
import pytest
import pandera as pa
from pandera.engines import pydantic_version
from pandera.typing import DataFrame, Series
PYDANTIC_V2 = False
@pytest.mark.skipif(
not PYDANTIC_V2,
reason="Pydantic <2 cannot catch the invalid dataframe model error",
)
def te... | pa.errors.SchemaInitError) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_pydantic_dtype.py | test_pydantic_model_init_errors | pytest.raises | complex_expr | 17 | from typing import Type
import pandas as pd
import pytest
from pydantic import BaseModel
import pandera as pa
from pandera.api.pandas.array import ArraySchema
from pandera.engines.pandas_engine import PydanticModel
@pytest.mark.parametrize("series_type", [pa.SeriesSchema, pa.Column, pa.Index])
def test_pydantic_mode... | pa.errors.SchemaInitError) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/polars/test_polars_dtypes.py | test_try_coerce_cast_failed | pytest.raises | complex_expr | 52 | import datetime
import decimal
from decimal import Decimal
from typing import Sequence, Tuple, Union
import polars as pl
import pytest
from hypothesis import given, settings
from hypothesis import strategies as st
from polars.testing import assert_frame_equal
from polars.testing.parametric import dataframes
import pa... | pandera.errors.ParserError) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/hypotheses/test_hypotheses.py | test_dataframe_hypothesis_checks | pytest.raises | complex_expr | 80 | import pandas as pd
import pytest
from pandera import (
Column,
DataFrameSchema,
Float,
Hypothesis,
Int,
String,
errors,
)
pytestmark = pytest.mark.skipif(
not SCIPY_INSTALLED, reason='needs "hypotheses" module dependencies'
)
def test_dataframe_hypothesis_checks():
"""
Test t... | errors.SchemaDefinitionError) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pyspark/test_pyspark_error.py | test_pyspark__error_handler_lazy_validation | assert | complex_expr | 47 | import pyspark.sql.types as T
import pytest
from pyspark.sql.types import StringType
import pandera.pyspark as pa
from pandera.api.base import error_handler
from pandera.errors import SchemaError, SchemaErrorReason
from pandera.pyspark import Column, DataFrameModel, DataFrameSchema, Field
from tests.pyspark.conftest i... | errors_lazy._collected_errors | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/dask/test_dask_accessor.py | test_dataframe_series_add_schema | assert | none_literal | 42 | from typing import Union
import dask.dataframe as dd
import pandas as pd
import pytest
import pandera as pa
@pytest.mark.parametrize(
"schema1, schema2, data, invalid_data",
[
[
pa.DataFrameSchema({"col": pa.Column(int)}, coerce=True),
pa.DataFrameSchema({"col": pa.Column(floa... | None | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/geopandas/test_engine.py | test_engine_geometry_simple | assert | none_literal | 16 | import geopandas as gpd
import numpy as np
import pandas as pd
import pytest
import shapely
from shapely.geometry import Point
import pandera as pa
from pandera.engines.pandas_engine import DateTime
from pandera.engines.geopandas_engine import Geometry
def test_engine_geometry_simple():
"""Test Geometry for basic... | None | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/io/test_pandas_io.py | test_io_yaml_file_obj | assert | none_literal | 210 | import platform
import tempfile
from io import StringIO
from pathlib import Path
from unittest import mock
import pandas as pd
import pytest
from packaging import version
import pandera
import pandera.api.extensions as pa_ext
import pandera.typing as pat
from pandera.api.pandas.container import DataFrameSchema
from p... | None | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_decorators.py | test_check_types_optional_out | assert | none_literal | 42 | import pickle
import typing
from asyncio import AbstractEventLoop
import numpy as np
import pandas as pd
import pytest
from pandera import (
Check,
Column,
DataFrameModel,
DataFrameSchema,
DateTime,
Field,
Float,
Int,
String,
check_input,
check_io,
check_output,
che... | None | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_docs_setting_column_widths.py | test_sphinx_doctest_setting_global_pandas_conditions | assert | none_literal | 15 | import pandas as pd
from docs.source import conf
def test_sphinx_doctest_setting_global_pandas_conditions() -> None:
"""Checks that no limit is set on the height/width of the __repr__/__str__
print of a pd.DataFrame to ensure doctest performs consistently across
different Operating Systems."""
# pylin... | None | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_engine_utils.py | test_numpy_pandas_coerce_failure_cases | assert | none_literal | 25 | import numpy as np
import pandas as pd
import pytest
from pandera.engines import utils
@pytest.mark.parametrize(
"data_container",
[
pd.Series([1, 2, 3, 4]),
np.array([1, 2, 3, 4]),
pd.DataFrame({0: [1, 2, 3, 4]}),
np.array([[1], [2], [3], [4]]),
],
)
def test_numpy_pandas_... | None | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_errors.py | test_unpickling | assert | none_literal | 67 | import multiprocessing
import pickle
from typing import NoReturn, cast
import numpy as np
import pandas as pd
import pytest
from pandera import Check, Column, DataFrameSchema
from pandera.config import ValidationDepth, config_context
from pandera.engines import numpy_engine, pandas_engine
from pandera.errors import (... | None | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_model.py | test_field_name_access | assert | string_literal | 29 | import os
import re
import runpy
from copy import deepcopy
from enum import Enum
from typing import Any, Generic, Iterable, List, Optional, TypeVar, Type
import numpy as np
import pandas as pd
import pytest
import pandera as pa
import pandera.api.extensions as pax
from pandera.errors import SchemaError, SchemaInitErr... | "a" | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_model.py | test_field_name_access | assert | string_literal | 30 | import os
import re
import runpy
from copy import deepcopy
from enum import Enum
from typing import Any, Generic, Iterable, List, Optional, TypeVar, Type
import numpy as np
import pandas as pd
import pytest
import pandera as pa
import pandera.api.extensions as pax
from pandera.errors import SchemaError, SchemaInitErr... | "b" | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/mypy/test_pandas_static_type_checking.py | test_pandera_runtime_errors | assert | string_literal | 55 | import importlib
import os
import re
import subprocess
import sys
import typing
from pathlib import Path
import pytest
import pandera as pa
from tests.mypy.pandas_modules import pandas_dataframe
test_module_dir = Path(os.path.dirname(__file__))
def _get_mypy_errors(
module_name: str,
stdout,
) -> typing.Lis... | "age" | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_decorators.py | test_check_function_decorators | assert | string_literal | 132 | import pickle
import typing
from asyncio import AbstractEventLoop
import numpy as np
import pandas as pd
import pytest
from pandera import (
Check,
Column,
DataFrameModel,
DataFrameSchema,
DateTime,
Field,
Float,
Int,
String,
check_input,
check_io,
check_output,
che... | "foo" | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_engine.py | test_register_dtype_complete | assert | string_literal | 35 | import re
from typing import Any, Generator, List, Union
import pytest
from pandera.dtypes import DataType
from pandera.engines.engine import Engine
def equivalents() -> List[Any]:
return [int, "int", 1]
def engine() -> Generator[Engine, None, None]:
class FakeEngine( # pylint:disable=too-few-public-method... | "foo" | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/fastapi/test_app.py | test_upload_file_endpoint | assert | string_literal | 49 | import io
import subprocess
import time
from copy import deepcopy
import pandas as pd
import pytest
import requests
from hypothesis import given
from tests.fastapi.models import Transactions, TransactionsOut
def app():
"""Transient app server for testing."""
# pylint: disable=consider-using-with
process ... | "file" | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_errors.py | validate_unpickled | assert | string_literal | 37 | import multiprocessing
import pickle
from typing import NoReturn, cast
import numpy as np
import pandas as pd
import pytest
from pandera import Check, Column, DataFrameSchema
from pandera.config import ValidationDepth, config_context
from pandera.engines import numpy_engine, pandas_engine
from pandera.errors import (... | "1337" | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_decorators.py | test_check_decorator_coercion | assert | string_literal | 67 | import pickle
import typing
from asyncio import AbstractEventLoop
import numpy as np
import pandas as pd
import pytest
from pandera import (
Check,
Column,
DataFrameModel,
DataFrameSchema,
DateTime,
Field,
Float,
Int,
String,
check_input,
check_io,
check_output,
che... | "int64" | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_pandas_parallel.py | test_polars_parallel | assert | string_literal | 16 | import pandas as pd
from joblib import Parallel, delayed
from pandera import Column, DataFrameSchema
schema = DataFrameSchema({"a": Column("int64")}, coerce=True)
def test_polars_parallel():
def fn():
return schema.validate(pd.DataFrame({"a": [1]}))
results = Parallel(2)([delayed(fn)() for _ in rang... | "int64" | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/modin/test_schemas_on_modin.py | test_index_dtypes | assert | string_literal | 72 | import typing
from unittest.mock import MagicMock
import modin.pandas as mpd
import pandas as pd
import pytest
import pandera as pa
from pandera import extensions
from pandera.engines import numpy_engine, pandas_engine
from pandera.typing.modin import DataFrame, Index, Series, modin_version
from tests.strategies.test... | "object" | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_dtypes.py | test_is_binary | assert | string_literal | 223 | import dataclasses
import datetime
import inspect
import re
import sys
from decimal import Decimal
from typing import Any, Dict, List, NamedTuple, Tuple
import hypothesis
import numpy as np
import pandas as pd
import pytest
from _pytest.mark.structures import ParameterSet
from _pytest.python import Metafunc
from hypot... | "binary" | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_schema_components.py | tests_multi_index_subindex_coerce | assert | string_literal | 43 | import copy
from typing import Any, List, Optional, Tuple, Type
import numpy as np
import pandas as pd
import pytest
from pandera import (
Check,
Column,
DataFrameSchema,
DateTime,
Float,
Index,
Int,
MultiIndex,
SeriesSchema,
String,
errors,
)
from pandera.engines.pandas_en... | "object" | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/geopandas/test_engine.py | test_engine_geometry_simple | assert | string_literal | 17 | import geopandas as gpd
import numpy as np
import pandas as pd
import pytest
import shapely
from shapely.geometry import Point
import pandera as pa
from pandera.engines.pandas_engine import DateTime
from pandera.engines.geopandas_engine import Geometry
def test_engine_geometry_simple():
"""Test Geometry for basic... | "geometry" | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/geopandas/test_pydantic.py | test_pydantic_active_geometry | assert | string_literal | 32 | import geopandas as gpd
import pandas as pd
import pytest
from pydantic import BaseModel, ValidationError
from shapely.geometry import Point
import pandera as pa
from pandera.typing.geopandas import GeoDataFrame, GeoSeries
def test_pydantic_active_geometry():
"""Test that GeoDataFrame type can be used in a Pydant... | "geometry" | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_errors.py | test_schema_property | assert | string_literal | 81 | import multiprocessing
import pickle
from typing import NoReturn, cast
import numpy as np
import pandas as pd
import pytest
from pandera import Check, Column, DataFrameSchema
from pandera.config import ValidationDepth, config_context
from pandera.engines import numpy_engine, pandas_engine
from pandera.errors import (... | "int_isin" | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/geopandas/test_engine.py | test_engine_geometry_simple | assert | string_literal | 20 | import geopandas as gpd
import numpy as np
import pandas as pd
import pytest
import shapely
from shapely.geometry import Point
import pandera as pa
from pandera.engines.pandas_engine import DateTime
from pandera.engines.geopandas_engine import Geometry
def test_engine_geometry_simple():
"""Test Geometry for basic... | "EPSG:4326" | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pyspark/test_pyspark_container.py | test_pyspark_nullable | assert | collection | 62 | import platform
from contextlib import nullcontext as does_not_raise
from datetime import date, datetime
from decimal import Decimal
import pyspark.sql.types as T
import pytest
from pyspark.sql import DataFrame, Row
import pandera.errors
import pandera.pyspark as pa
from pandera.config import PanderaConfig, Validatio... | {} | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pyspark/test_pyspark_model.py | test_validation_succeeds_with_missing_optional_column | assert | collection | 39 | from contextlib import nullcontext as does_not_raise
from typing import Optional
import pyspark.sql.types as T
import pytest
from pyspark.sql import DataFrame
import pandera
import pandera.api.extensions as pax
import pandera.pyspark as pa
from pandera.api.pyspark.model import docstring_substitution
from pandera.conf... | {} | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_schema_components.py | test_index_schema | assert | collection | 38 | import copy
from typing import Any, List, Optional, Tuple, Type
import numpy as np
import pandas as pd
import pytest
from pandera import (
Check,
Column,
DataFrameSchema,
DateTime,
Float,
Index,
Int,
MultiIndex,
SeriesSchema,
String,
errors,
)
from pandera.engines.pandas_en... | [None] | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pyspark/test_schemas_on_pyspark_pandas.py | test_strict_filter | assert | collection | 119 | import re
import typing
from unittest.mock import MagicMock
import numpy as np
import pandas as pd
import pyspark
import pyspark.pandas as ps
import pytest
from packaging import version
import pandera as pa
from pandera.typing import pyspark as pyspark_typing
from pandera import dtypes, extensions, system
from pander... | {"col1"} | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pyspark/test_pyspark_model.py | test_dataframe_schema_strict | assert | collection | 55 | from contextlib import nullcontext as does_not_raise
from typing import Optional
import pyspark.sql.types as T
import pytest
from pyspark.sql import DataFrame
import pandera
import pandera.api.extensions as pax
import pandera.pyspark as pa
from pandera.api.pyspark.model import docstring_substitution
from pandera.conf... | ["a", "b"] | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_dtypes.py | test_python_std_list_dict_error | assert | collection | 247 | import dataclasses
import datetime
import inspect
import re
import sys
from decimal import Decimal
from typing import Any, Dict, List, NamedTuple, Tuple
import hypothesis
import numpy as np
import pandas as pd
import pytest
from _pytest.mark.structures import ParameterSet
from _pytest.python import Metafunc
from hypot... | ["1.0", 2.0] | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/polars/test_polars_config.py | test_coerce_validation_depth_none | assert | collection | 92 | import polars as pl
import pytest
import pandera.polars as pa
from pandera.engines.polars_engine import polars_version
from pandera.api.polars.utils import get_lazyframe_schema
from pandera.api.base.error_handler import ErrorCategory
from pandera.config import (
CONFIG,
ValidationDepth,
config_context,
... | [{"a": "foo"}] | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/polars/test_polars_check.py | test_polars_element_wise_dataframe_different_dtypes | assert | collection | 67 | import polars as pl
import pytest
import pandera.polars as pa
from pandera.api.polars.utils import get_lazyframe_schema
from pandera.constants import CHECK_OUTPUT_KEY
def column_lf():
return pl.LazyFrame({"col": pl.Series([1, 2, 3, 4], dtype=int)})
def lf():
return pl.LazyFrame(
{
"col_1"... | ["1", "2", "c"] | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_checks.py | test_check_groupby | assert | collection | 57 | import copy
import pandas as pd
import pytest
from pandera import (
Bool,
Check,
Column,
DataFrameSchema,
Float,
Index,
Int,
SeriesSchema,
String,
errors,
)
from pandera.backends.pandas import error_formatters
def test_check_groupby() -> None:
"""Tests uses of groupby to s... | {"col1", "col2"} | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_checks.py | test_custom_check_error_is_failure_case | assert | collection | 30 | import copy
import pandas as pd
import pytest
from pandera import (
Bool,
Check,
Column,
DataFrameSchema,
Float,
Index,
Int,
SeriesSchema,
String,
errors,
)
from pandera.backends.pandas import error_formatters
def test_custom_check_error_is_failure_case(extra_registered_checks... | {"CHECK_ERROR": 1} | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_schema_components.py | test_column_regex_matching_non_str_types | assert | collection | 104 | import copy
from typing import Any, List, Optional, Tuple, Type
import numpy as np
import pandas as pd
import pytest
from pandera import (
Check,
Column,
DataFrameSchema,
DateTime,
Float,
Index,
Int,
MultiIndex,
SeriesSchema,
String,
errors,
)
from pandera.engines.pandas_en... | [*matched_columns] | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_checks_builtin.py | test_unique_values_eq_raise_error | pytest.raises | collection | 92 | import pickle
from typing import Iterable
import pandas as pd
import pytest
from pandera.api.checks import Check
from pandera.api.pandas.array import SeriesSchema
from pandera.api.pandas.components import Column
from pandera.api.pandas.container import DataFrameSchema
from pandera.errors import SchemaError, SchemaWar... | (TypeError, ValueError)) | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/io/test_pandas_io.py | test_to_yaml_registered_dataframe_check | assert | numeric_literal | 223 | import platform
import tempfile
from io import StringIO
from pathlib import Path
from unittest import mock
import pandas as pd
import pytest
from packaging import version
import pandera
import pandera.api.extensions as pa_ext
import pandera.typing as pat
from pandera.api.pandas.container import DataFrameSchema
from p... | 1 | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/modin/test_schemas_on_modin.py | test_nullable | assert | numeric_literal | 72 | import typing
from unittest.mock import MagicMock
import modin.pandas as mpd
import pandas as pd
import pytest
import pandera as pa
from pandera import extensions
from pandera.engines import numpy_engine, pandas_engine
from pandera.typing.modin import DataFrame, Index, Series, modin_version
from tests.strategies.test... | 0 | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_checks.py | test_check_groupby | assert | numeric_literal | 56 | import copy
import pandas as pd
import pytest
from pandera import (
Bool,
Check,
Column,
DataFrameSchema,
Float,
Index,
Int,
SeriesSchema,
String,
errors,
)
from pandera.backends.pandas import error_formatters
def test_check_groupby() -> None:
"""Tests uses of groupby to s... | 2 | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_checks.py | test_check_groupby_multiple_columns | assert | numeric_literal | 50 | import copy
import pandas as pd
import pytest
from pandera import (
Bool,
Check,
Column,
DataFrameSchema,
Float,
Index,
Int,
SeriesSchema,
String,
errors,
)
from pandera.backends.pandas import error_formatters
def test_check_groupby_multiple_columns() -> None:
"""Tests use... | 3 | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_decorators.py | test_check_types_star_args | assert | numeric_literal | 56 | import pickle
import typing
from asyncio import AbstractEventLoop
import numpy as np
import pandas as pd
import pytest
from pandera import (
Check,
Column,
DataFrameModel,
DataFrameSchema,
DateTime,
Field,
Float,
Int,
String,
check_input,
check_io,
check_output,
che... | 2 | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_decorators.py | test_check_types_star_args | assert | numeric_literal | 57 | import pickle
import typing
from asyncio import AbstractEventLoop
import numpy as np
import pandas as pd
import pytest
from pandera import (
Check,
Column,
DataFrameModel,
DataFrameSchema,
DateTime,
Field,
Float,
Int,
String,
check_input,
check_io,
check_output,
che... | 1 | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_dtypes.py | test_numpy_string | assert | numeric_literal | 232 | import dataclasses
import datetime
import inspect
import re
import sys
from decimal import Decimal
from typing import Any, Dict, List, NamedTuple, Tuple
import hypothesis
import numpy as np
import pandas as pd
import pytest
from _pytest.mark.structures import ParameterSet
from _pytest.python import Metafunc
from hypot... | 3 | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_dtypes.py | test_numpy_string | assert | numeric_literal | 233 | import dataclasses
import datetime
import inspect
import re
import sys
from decimal import Decimal
from typing import Any, Dict, List, NamedTuple, Tuple
import hypothesis
import numpy as np
import pandas as pd
import pytest
from _pytest.mark.structures import ParameterSet
from _pytest.python import Metafunc
from hypot... | 2 | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_errors.py | _validate_error | assert | numeric_literal | 72 | import multiprocessing
import pickle
from typing import NoReturn, cast
import numpy as np
import pandas as pd
import pytest
from pandera import Check, Column, DataFrameSchema
from pandera.config import ValidationDepth, config_context
from pandera.engines import numpy_engine, pandas_engine
from pandera.errors import (... | 0 | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_extensions.py | test_register_check_with_strategy | assert | numeric_literal | 47 | from typing import Any, Optional, Union
import pandas as pd
import pytest
import pandera as pa
import pandera.strategies.pandas_strategies as st
from pandera import DataType, extensions
from pandera.api.checks import Check
from pandera.backends.pandas.register import register_pandas_backends
def register_pandas_back... | 0 | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_model.py | test_check_validate_method_aliased_field | assert | numeric_literal | 31 | import os
import re
import runpy
from copy import deepcopy
from enum import Enum
from typing import Any, Generic, Iterable, List, Optional, TypeVar, Type
import numpy as np
import pandas as pd
import pytest
import pandera as pa
import pandera.api.extensions as pax
from pandera.errors import SchemaError, SchemaInitErr... | 2 | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_model.py | test_check_multiple_columns | assert | numeric_literal | 34 | import os
import re
import runpy
from copy import deepcopy
from enum import Enum
from typing import Any, Generic, Iterable, List, Optional, TypeVar, Type
import numpy as np
import pandas as pd
import pytest
import pandera as pa
import pandera.api.extensions as pax
from pandera.errors import SchemaError, SchemaInitErr... | 1 | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_model.py | test_inherit_field_checks | assert | numeric_literal | 43 | import os
import re
import runpy
from copy import deepcopy
from enum import Enum
from typing import Any, Generic, Iterable, List, Optional, TypeVar, Type
import numpy as np
import pandas as pd
import pytest
import pandera as pa
import pandera.api.extensions as pax
from pandera.errors import SchemaError, SchemaInitErr... | 0 | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_model.py | test_inherit_alias | assert | numeric_literal | 35 | import os
import re
import runpy
from copy import deepcopy
from enum import Enum
from typing import Any, Generic, Iterable, List, Optional, TypeVar, Type
import numpy as np
import pandas as pd
import pytest
import pandera as pa
import pandera.api.extensions as pax
from pandera.errors import SchemaError, SchemaInitErr... | 4 | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_model.py | test_inherit_alias | assert | numeric_literal | 47 | import os
import re
import runpy
from copy import deepcopy
from enum import Enum
from typing import Any, Generic, Iterable, List, Optional, TypeVar, Type
import numpy as np
import pandas as pd
import pytest
import pandera as pa
import pandera.api.extensions as pax
from pandera.errors import SchemaError, SchemaInitErr... | 3 | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_model_components.py | test_field_checks | assert | numeric_literal | 39 | from typing import Any
import pytest
import pandera as pa
from pandera.engines.pandas_engine import Engine
@pytest.mark.parametrize(
"arg,value,expected",
[
("eq", 9, pa.Check.equal_to(9)),
("ne", 9, pa.Check.not_equal_to(9)),
("gt", 9, pa.Check.greater_than(9)),
("ge", 9, pa.... | 1 | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_pandas_engine.py | test_pandas_data_type_coerce | assert | numeric_literal | 37 | import datetime as dt
from typing import Tuple, List, Optional, Any, Set
import hypothesis
import hypothesis.extra.pandas as pd_st
import hypothesis.strategies as st
import numpy as np
import pandas as pd
import pyarrow
import pytest
import pytz
from hypothesis import given
from pandera import Field, DataFrameModel, ... | 0 | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_parsers.py | test_parser_called_once | assert | numeric_literal | 30 | import copy
import numpy as np
import pandas as pd
import pytest
import pandera as pa
from pandera.api.pandas.array import SeriesSchema
from pandera.api.pandas.container import DataFrameSchema
from pandera.api.parsers import Parser
from pandera.typing import Series
def test_parser_called_once():
data = pd.DataF... | 1 | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_schema_components.py | tests_multi_index_subindex_coerce | assert | numeric_literal | 53 | import copy
from typing import Any, List, Optional, Tuple, Type
import numpy as np
import pandas as pd
import pytest
from pandera import (
Check,
Column,
DataFrameSchema,
DateTime,
Float,
Index,
Int,
MultiIndex,
SeriesSchema,
String,
errors,
)
from pandera.engines.pandas_en... | 1 | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_schemas.py | test_series_schema_checks | assert | numeric_literal | 45 | import copy
from datetime import datetime, timedelta
from functools import partial
from typing import Any, Callable, Dict, List, Tuple, Type, Union
import numpy as np
import pandas as pd
import pytest
from pandera import (
Category,
Check,
Column,
DataFrameModel,
DataFrameSchema,
Field,
In... | 0 | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_schemas.py | test_series_schema_checks | assert | numeric_literal | 46 | import copy
from datetime import datetime, timedelta
from functools import partial
from typing import Any, Callable, Dict, List, Tuple, Type, Union
import numpy as np
import pandas as pd
import pytest
from pandera import (
Category,
Check,
Column,
DataFrameModel,
DataFrameSchema,
Field,
In... | 1 | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/modin/test_logical_dtypes.py | test_logical_datatype_check | assert | bool_literal | 65 | from datetime import date, datetime
from decimal import Decimal
from typing import Iterable, List, cast
import modin.pandas as mpd
import numpy as np
import pandas as pd
import pytest
from pandas.testing import assert_series_equal
import pandera as pa
from pandera.engines import pandas_engine
from pandera.errors impo... | True | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_logical_dtypes.py | test_logical_datatype_check | assert | bool_literal | 64 | from datetime import date, datetime
from decimal import Decimal
from typing import Any, Iterable, List, cast
import numpy as np
import pandas as pd
import pytest
from pandas.testing import assert_series_equal
import pandera as pa
from pandera.engines import pandas_engine
from pandera.errors import ParserError
@pytes... | True | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_pydantic_dtype.py | test_pydantic_model_coerce | assert | bool_literal | 19 | from typing import Type
import pandas as pd
import pytest
from pydantic import BaseModel
import pandera as pa
from pandera.api.pandas.array import ArraySchema
from pandera.engines.pandas_engine import PydanticModel
@pytest.mark.parametrize("coerce", [True, False])
def test_pydantic_model_coerce(coerce: bool):
""... | True | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/pandas/test_schemas.py | test_update_columns | assert | bool_literal | 98 | import copy
from datetime import datetime, timedelta
from functools import partial
from typing import Any, Callable, Dict, List, Tuple, Type, Union
import numpy as np
import pandas as pd
import pytest
from pandera import (
Category,
Check,
Column,
DataFrameModel,
DataFrameSchema,
Field,
In... | True | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
unionai-oss/pandera | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | train | train | tests/polars/test_polars_dtypes.py | test_check_equivalent | assert | bool_literal | 47 | import datetime
import decimal
from decimal import Decimal
from typing import Sequence, Tuple, Union
import polars as pl
import pytest
from hypothesis import given, settings
from hypothesis import strategies as st
from polars.testing import assert_frame_equal
from polars.testing.parametric import dataframes
import pa... | True | d71098a1b05afc18d8b00623588fca59ebb16a0e | 351 | v2_extractor_at_anchor |
uriyyo/fastapi-pagination | 7d0f5fbbb3daaf75abc90239bf6dbdf5c2866460 | 76 | train | train | tests/base/suite.py | run_pagination_test | assert | variable | 238 | from __future__ import annotations
from collections.abc import Iterable
from typing import ClassVar
import pytest
from typing_extensions import TypeAlias
from fastapi_pagination import LimitOffsetPage, LimitOffsetParams, Page, Params, paginate, set_page
from fastapi_pagination.bases import AbstractParams
from fastap... | b | 7d0f5fbbb3daaf75abc90239bf6dbdf5c2866460 | 76 | v2_extractor_at_anchor |
uriyyo/fastapi-pagination | 7d0f5fbbb3daaf75abc90239bf6dbdf5c2866460 | 76 | train | train | tests/base/suite.py | run_cursor_pagination_test | assert | complex_expr | 213 | from __future__ import annotations
from collections.abc import Iterable
from typing import ClassVar
import pytest
from typing_extensions import TypeAlias
from fastapi_pagination import LimitOffsetPage, LimitOffsetParams, Page, Params, paginate, set_page
from fastapi_pagination.bases import AbstractParams
from fastap... | expected.items | 7d0f5fbbb3daaf75abc90239bf6dbdf5c2866460 | 76 | v2_extractor_at_anchor |
uriyyo/fastapi-pagination | 7d0f5fbbb3daaf75abc90239bf6dbdf5c2866460 | 76 | train | train | tests/base/suite.py | run_cursor_pagination_test | assert | func_call | 208 | from __future__ import annotations
from collections.abc import Iterable
from typing import ClassVar
import pytest
from typing_extensions import TypeAlias
from fastapi_pagination import LimitOffsetPage, LimitOffsetParams, Page, Params, paginate, set_page
from fastapi_pagination.bases import AbstractParams
from fastap... | min(len(entities), size) | 7d0f5fbbb3daaf75abc90239bf6dbdf5c2866460 | 76 | v2_extractor_at_anchor |
uriyyo/fastapi-pagination | 7d0f5fbbb3daaf75abc90239bf6dbdf5c2866460 | 76 | train | train | tests/ext/test_sqlalchemy.py | test_scalar_not_unwrapped | assert | collection | 24 | from contextlib import closing
from typing import Any
import pytest
from fastapi import Depends
from sqlalchemy import select, text
from sqlalchemy.orm import selectinload
from fastapi_pagination import Page, Params, set_page, set_params
from fastapi_pagination.cursor import CursorPage
from fastapi_pagination.customi... | [{"name": entry.name} for entry in entities[:10]] | 7d0f5fbbb3daaf75abc90239bf6dbdf5c2866460 | 76 | v2_extractor_at_anchor |
uriyyo/fastapi-pagination | 7d0f5fbbb3daaf75abc90239bf6dbdf5c2866460 | 76 | train | train | tests/ext/test_sqlalchemy.py | test_no_order | pytest.raises | complex_expr | 39 | from contextlib import closing
from typing import Any
import pytest
from fastapi import Depends
from sqlalchemy import select, text
from sqlalchemy.orm import selectinload
from fastapi_pagination import Page, Params, set_page, set_params
from fastapi_pagination.cursor import CursorPage
from fastapi_pagination.customi... | ValueError, match=r"^Cursor pagination requires ordering$") | 7d0f5fbbb3daaf75abc90239bf6dbdf5c2866460 | 76 | v2_extractor_at_anchor |
uriyyo/fastapi-pagination | 7d0f5fbbb3daaf75abc90239bf6dbdf5c2866460 | 76 | train | train | tests/ext/test_sqlalchemy.py | test_non_scalar_not_unwrapped | assert | collection | 25 | from contextlib import closing
from typing import Any
import pytest
from fastapi import Depends
from sqlalchemy import select, text
from sqlalchemy.orm import selectinload
from fastapi_pagination import Page, Params, set_page, set_params
from fastapi_pagination.cursor import CursorPage
from fastapi_pagination.customi... | [{"id": entry.id, "name": entry.name} for entry in entities[:10]] | 7d0f5fbbb3daaf75abc90239bf6dbdf5c2866460 | 76 | v2_extractor_at_anchor |
uriyyo/fastapi-pagination | 7d0f5fbbb3daaf75abc90239bf6dbdf5c2866460 | 76 | train | train | tests/ext/test_utils.py | test_len_or_none | assert | numeric_literal | 6 | from fastapi_pagination.ext.utils import len_or_none, unwrap_scalars, wrap_scalars
def test_len_or_none():
assert len_or_none(None) is None
assert len_or_none([]) == | 0 | 7d0f5fbbb3daaf75abc90239bf6dbdf5c2866460 | 76 | v2_extractor_at_anchor |
uriyyo/fastapi-pagination | 7d0f5fbbb3daaf75abc90239bf6dbdf5c2866460 | 76 | train | train | tests/ext/test_utils.py | test_len_or_none | assert | numeric_literal | 7 | from fastapi_pagination.ext.utils import len_or_none, unwrap_scalars, wrap_scalars
def test_len_or_none():
assert len_or_none(None) is None
assert len_or_none([]) == 0
assert len_or_none([1]) == | 1 | 7d0f5fbbb3daaf75abc90239bf6dbdf5c2866460 | 76 | v2_extractor_at_anchor |
uriyyo/fastapi-pagination | 7d0f5fbbb3daaf75abc90239bf6dbdf5c2866460 | 76 | train | train | tests/ext/test_utils.py | test_unwrap_scalars | assert | collection | 5 | from fastapi_pagination.ext.utils import len_or_none, unwrap_scalars, wrap_scalars
def test_unwrap_scalars():
assert unwrap_scalars([]) == | [] | 7d0f5fbbb3daaf75abc90239bf6dbdf5c2866460 | 76 | v2_extractor_at_anchor |
uriyyo/fastapi-pagination | 7d0f5fbbb3daaf75abc90239bf6dbdf5c2866460 | 76 | train | train | tests/ext/test_utils.py | test_len_or_none | assert | none_literal | 5 | from fastapi_pagination.ext.utils import len_or_none, unwrap_scalars, wrap_scalars
def test_len_or_none():
assert len_or_none(None) is | None | 7d0f5fbbb3daaf75abc90239bf6dbdf5c2866460 | 76 | v2_extractor_at_anchor |
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