repo_id stringclasses 409
values | prefix large_stringlengths 34 36.3k | target large_stringlengths 1 498 | assertion_type stringclasses 31
values | difficulty stringclasses 8
values | test_file stringlengths 10 121 | test_function stringlengths 1 104 | test_class stringlengths 0 51 | lineno int32 2 11.3k | commit_idx int32 |
|---|---|---|---|---|---|---|---|---|---|
unionai-oss/pandera | import re
from collections.abc import Generator
from typing import Any, 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(
metaclass=... | _DtypeA() | assert | func_call | tests/pandas/test_engine.py | test_register_dtype_overwrite | 138 | null | |
unionai-oss/pandera | import copy
from collections.abc import Callable
from datetime import datetime, timedelta
from functools import partial
from typing import Any, Union
import numpy as np
import pandas as pd
import pytest
from pandera.api.pandas.array import ArraySchema
from pandera.dtypes import UniqueSettings
from pandera.engines.pan... | key | assert | variable | tests/pandas/test_schemas.py | test_set_index_append | 1,936 | null | |
unionai-oss/pandera | import copy
import pandas as pd
import pytest
from pandera.backends.pandas import error_formatters
from pandera.pandas import (
Bool,
Check,
Column,
DataFrameSchema,
Float,
Index,
Int,
SeriesSchema,
String,
errors,
)
def test_check_groupby() -> None:
"""Tests uses of group... | 2 | assert | numeric_literal | tests/pandas/test_checks.py | test_check_groupby | 71 | null | |
unionai-oss/pandera | import asyncio
import pickle
import typing
from contextlib import nullcontext
from copy import deepcopy
import numpy as np
import pandas as pd
import pytest
from pandera.engines.pandas_engine import Engine
from pandera.pandas import (
Check,
Column,
DataFrameModel,
DataFrameSchema,
DateTime,
F... | None | assert | none_literal | tests/pandas/test_decorators.py | test_check_types_optional_out | 734 | null | |
unionai-oss/pandera | from typing import Optional
import ibis
import ibis.expr.datatypes as dt
import ibis.expr.types as ir
import pandas as pd
import pytest
from ibis import _
from ibis import selectors as s
import pandera as pa
from pandera.api.ibis.types import IbisData
from pandera.dtypes import UniqueSettings
from pandera.ibis import... | answers | assert | variable | tests/ibis/test_ibis_container.py | test_different_unique_settings | 240 | null | |
unionai-oss/pandera | from typing import Union
from unittest.mock import patch
import pandas as pd
import pytest
import pandera.api.pandas.container
import pandera.pandas as pa
from pandera.errors import BackendNotFoundError
@pytest.mark.parametrize(
"schema1, schema2, data, invalid_data",
[
[
pa.DataFrameSche... | schema2 | assert | variable | tests/pandas/test_pandas_accessor.py | test_dataframe_series_add_schema | 54 | null | |
unionai-oss/pandera | import ibis
import ibis.expr.datatypes as dt
import pytest
from hypothesis import given, settings
from hypothesis import strategies as st
from ibis import _
from polars.testing import assert_frame_equal
from polars.testing.parametric import dataframes
import pandera.ibis as pa
from pandera.engines import ibis_engine a... | pa.errors.SchemaError) | pytest.raises | complex_expr | tests/ibis/test_ibis_dtypes.py | test_ibis_map_type | 191 | null | |
unionai-oss/pandera | import copy
import numpy as np
import pandas as pd
import pytest
from pandas._testing import assert_frame_equal
import pandera.pandas 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 Serie... | 4 | assert | numeric_literal | tests/pandas/test_parsers.py | test_parser_with_coercion | 132 | null | |
unionai-oss/pandera | import asyncio
import pickle
import typing
from contextlib import nullcontext
from copy import deepcopy
import numpy as np
import pandas as pd
import pytest
from pandera.engines.pandas_engine import Engine
from pandera.pandas import (
Check,
Column,
DataFrameModel,
DataFrameSchema,
DateTime,
F... | 2 | assert | numeric_literal | tests/pandas/test_decorators.py | test_check_types_star_args | 1,441 | null | |
unionai-oss/pandera | import copy
import pandas as pd
import pytest
from pandera.backends.pandas import error_formatters
from pandera.pandas import (
Bool,
Check,
Column,
DataFrameSchema,
Float,
Index,
Int,
SeriesSchema,
String,
errors,
)
def test_reshape_failure_cases_exceptions() -> None:
"""... | TypeError) | pytest.raises | variable | tests/pandas/test_checks.py | test_reshape_failure_cases_exceptions | 351 | null | |
unionai-oss/pandera | import datetime
import decimal
from unittest import mock
import pytest
from pyspark.sql.functions import col
from pyspark.sql.types import (
ArrayType,
BooleanType,
ByteType,
DateType,
DecimalType,
DoubleType,
FloatType,
IntegerType,
LongType,
MapType,
ShortType,
StringT... | expected["SCHEMA"] | assert | complex_expr | tests/pyspark/test_pyspark_check.py | test_datatype_check_decorator | TestDecorator | 139 | null |
unionai-oss/pandera | import multiprocessing
import pickle
from typing import NoReturn, cast
import numpy as np
import pandas as pd
import pytest
from pandera.config import ValidationDepth, config_context
from pandera.engines import numpy_engine, pandas_engine
from pandera.errors import (
ParserError,
ReducedPickleExceptionBase,
... | str(exc_native) | assert | func_call | tests/pandas/test_errors.py | _compare_exception_with_unpickled | TestSchemaErrors | 265 | null |
unionai-oss/pandera | import os
import re
import runpy
from collections.abc import Iterable
from copy import deepcopy
from enum import Enum
from typing import Any, Generic, Optional, TypeVar
import numpy as np
import pandas as pd
import pytest
from pandas._testing import assert_frame_equal
import pandera.api.extensions as pax
import pande... | 3 | assert | numeric_literal | tests/pandas/test_model.py | test_multiindex_check_has_context | 373 | null | |
unionai-oss/pandera | from dataclasses import asdict
import pyspark.sql.types as T
import pytest
from pandera.config import ValidationDepth, config_context, get_config_context
from pandera.pyspark import (
Check,
Column,
DataFrameModel,
DataFrameSchema,
Field,
)
from tests.pyspark.conftest import spark_df
pytestmark =... | expected | assert | variable | tests/pyspark/test_pyspark_config.py | test_schema_only | TestPanderaConfig | 81 | null |
unionai-oss/pandera | from __future__ import annotations
import typing
import pandas as pd
import pytest
from pandas._testing import assert_frame_equal
import pandera.pandas as pa
def func(data: pa.typing.DataFrame[Model]) -> pa.typing.DataFrame[Model]:
return data
def test_forwardref_with_pandera_dataframe_generic_initialization()... | pa.errors.SchemaError) | pytest.raises | complex_expr | tests/pandas/test_schema_forwardref.py | test_forwardref_with_pandera_dataframe_generic_initialization | 117 | null | |
unionai-oss/pandera | from typing import Any
import pytest
import pandera.pandas 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",... | 1 | assert | numeric_literal | tests/pandas/test_model_components.py | test_field_checks | 82 | null | |
unionai-oss/pandera | import datetime
import decimal
from collections.abc import Sequence
from decimal import Decimal
from typing import 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 d... | expected_dtype.scale | assert | complex_expr | tests/polars/test_polars_dtypes.py | test_polars_decimal_from_parametrized_dtype | 345 | null | |
unionai-oss/pandera | import multiprocessing
import pickle
from typing import NoReturn, cast
import numpy as np
import pandas as pd
import pytest
from pandera.config import ValidationDepth, config_context
from pandera.engines import numpy_engine, pandas_engine
from pandera.errors import (
ParserError,
ReducedPickleExceptionBase,
... | "1337" | assert | string_literal | tests/pandas/test_errors.py | validate_unpickled | TestReducedPickleException | 87 | null |
unionai-oss/pandera | import asyncio
import pickle
import typing
from contextlib import nullcontext
from copy import deepcopy
import numpy as np
import pandas as pd
import pytest
from pandera.engines.pandas_engine import Engine
from pandera.pandas import (
Check,
Column,
DataFrameModel,
DataFrameSchema,
DateTime,
F... | df) | assert_* | variable | tests/pandas/test_decorators.py | test_check_types_unchanged | 616 | null | |
unionai-oss/pandera | import re
from collections.abc import Generator
from typing import Any, 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(
metaclass=... | _DtypeB() | assert | func_call | tests/pandas/test_engine.py | test_register_dtype_overwrite | 148 | null | |
unionai-oss/pandera | import ibis
import pytest
import pandera.ibis as pa
import pandera.typing.ibis as pa_typing
def data() -> ibis.Table:
return ibis.memtable({"a": [1, 2, 3]})
def invalid_data(data) -> ibis.Table:
return data.rename({"b": "a"})
def test_ibis_dataframe_check_io(data, invalid_data):
# pylint: disable=unused... | pa.errors.SchemaError) | pytest.raises | complex_expr | tests/ibis/test_ibis_decorators.py | test_ibis_dataframe_check_io | 46 | null | |
unionai-oss/pandera | import copy
from typing import Any, Optional
from unittest.mock import MagicMock, patch
import numpy as np
import pandas as pd
import pytest
from pandera.api.base.error_handler import ErrorHandler
from pandera.backends.pandas.components import MultiIndexBackend
from pandera.engines.pandas_engine import Engine, pandas... | "object" | assert | string_literal | tests/pandas/test_schema_components.py | tests_multi_index_subindex_coerce | 374 | null | |
unionai-oss/pandera | import asyncio
import pickle
import typing
from contextlib import nullcontext
from copy import deepcopy
import numpy as np
import pandas as pd
import pytest
from pandera.engines.pandas_engine import Engine
from pandera.pandas import (
Check,
Column,
DataFrameModel,
DataFrameSchema,
DateTime,
F... | "int64" | assert | string_literal | tests/pandas/test_decorators.py | test_check_decorator_coercion | 233 | null | |
unionai-oss/pandera | import multiprocessing
import pickle
from typing import NoReturn, cast
import numpy as np
import pandas as pd
import pytest
from pandera.config import ValidationDepth, config_context
from pandera.engines import numpy_engine, pandas_engine
from pandera.errors import (
ParserError,
ReducedPickleExceptionBase,
... | str(df) | assert | func_call | tests/pandas/test_errors.py | _validate_error | TestSchemaError | 191 | null |
unionai-oss/pandera | import re
from collections.abc import Generator
from typing import Any, 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(
metaclass=... | "foo" | assert | string_literal | tests/pandas/test_engine.py | test_register_dtype_complete | 117 | null | |
unionai-oss/pandera | import ibis
import ibis.expr.datatypes as dt
import pytest
from hypothesis import given, settings
from hypothesis import strategies as st
from ibis import _
from polars.testing import assert_frame_equal
from polars.testing.parametric import dataframes
import pandera.ibis as pa
from pandera.engines import ibis_engine a... | equivalent | assert | variable | tests/ibis/test_ibis_dtypes.py | test_check_equivalent_custom | 122 | null | |
unionai-oss/pandera | import dataclasses
import datetime
import inspect
import re
import sys
from decimal import Decimal
from typing import Any, NamedTuple
import hypothesis
import numpy as np
import pandas as pd
import pytest
from _pytest.mark.structures import ParameterSet
from _pytest.python import Metafunc
from hypothesis import strate... | 3 | assert | numeric_literal | tests/pandas/test_dtypes.py | test_numpy_string | 568 | null | |
unionai-oss/pandera | import re
from collections.abc import Generator
from typing import Any, 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(
metaclass=... | SimpleDtype() | assert | func_call | tests/pandas/test_engine.py | test_return_base_dtype | 177 | null | |
unionai-oss/pandera | import io
import sys
from unittest.mock import MagicMock, patch
import ibis
import pytest
import pandera.ibis as pa
from pandera.typing.formats import Formats
from pandera.typing.ibis import Table, ibis_version
class TestTable:
def test_from_format_json(self):
"""Test from_format with JSON format."""
... | json_str) | assert_* | variable | tests/ibis/test_ibis_typing.py | test_from_format_json | TestTable | 198 | null |
unionai-oss/pandera | from collections.abc import Iterable
from datetime import date, datetime
from decimal import Decimal
from typing import 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.pandas as pa
from pandera.engines import pandas_eng... | True | assert | bool_literal | tests/modin/test_logical_dtypes.py | test_logical_datatype_check | 76 | null | |
unionai-oss/pandera | from typing import Union
import dask.dataframe as dd
import pandas as pd
import pytest
import pandera.pandas as pa
@pytest.mark.parametrize(
"schema1, schema2, data, invalid_data",
[
[
pa.DataFrameSchema({"col": pa.Column(int)}, coerce=True),
pa.DataFrameSchema({"col": pa.Colu... | schema2 | assert | variable | tests/dask/test_dask_accessor.py | test_dataframe_series_add_schema | 52 | null | |
unionai-oss/pandera | import copy
from typing import Any, Optional
from unittest.mock import MagicMock, patch
import numpy as np
import pandas as pd
import pytest
from pandera.api.base.error_handler import ErrorHandler
from pandera.backends.pandas.components import MultiIndexBackend
from pandera.engines.pandas_engine import Engine, pandas... | [None] | assert | collection | tests/pandas/test_schema_components.py | test_index_schema | 83 | null | |
unionai-oss/pandera | import io
import sys
from unittest.mock import MagicMock, patch
import polars as pl
import pytest
import pandera.polars as pa
from pandera.engines import PYDANTIC_V2
from pandera.errors import SchemaInitError
from pandera.typing.formats import Formats
from pandera.typing.polars import DataFrame, Series, polars_versio... | buffer) | assert_* | variable | tests/polars/test_polars_typing.py | test_to_format_callable | TestDataFrame | 351 | null |
unionai-oss/pandera | import dataclasses
import datetime
import inspect
import re
import sys
from decimal import Decimal
from typing import Any, NamedTuple
import hypothesis
import numpy as np
import pandas as pd
import pytest
from _pytest.mark.structures import ParameterSet
from _pytest.python import Metafunc
from hypothesis import strate... | ["1.0", 2.0] | assert | collection | tests/pandas/test_dtypes.py | test_python_std_list_dict_error | 947 | null | |
unionai-oss/pandera | 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 | assert | none_literal | tests/pandas/test_engine_utils.py | test_numpy_pandas_coerce_failure_cases | 45 | null | |
unionai-oss/pandera | import polars as pl
import pytest
import pandera.polars as pa
from pandera.api.base.error_handler import ErrorCategory
from pandera.api.polars.utils import get_lazyframe_schema
from pandera.config import (
CONFIG,
ValidationDepth,
config_context,
get_config_context,
get_config_global,
reset_con... | [{"a": "foo"}] | assert | collection | tests/polars/test_polars_config.py | test_coerce_validation_depth_none | 199 | null | |
unionai-oss/pandera | import typing
from unittest.mock import MagicMock
import modin.pandas as mpd
import pandas as pd
import pytest
import pandera.pandas 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.strategi... | 0 | assert | numeric_literal | tests/modin/test_schemas_on_modin.py | test_nullable | 183 | null | |
unionai-oss/pandera | import geopandas as gpd
import numpy as np
import pandas as pd
import pytest
import shapely
from shapely.geometry import Point
import pandera.pandas as pa
from pandera.engines.geopandas_engine import Geometry
from pandera.engines.pandas_engine import DateTime
def test_engine_geometry_equality():
"""Test Geometry ... | TypeError) | pytest.raises | variable | tests/geopandas/test_engine.py | test_engine_geometry_equality | 31 | null | |
unionai-oss/pandera | import geopandas as gpd
import pandas as pd
import pytest
from shapely.geometry import Point, Polygon
import pandera.pandas as pa
from pandera.engines.geopandas_engine import Geometry
from pandera.typing import Series
from pandera.typing.geopandas import GeoDataFrame, GeoSeries
def test_schema_multiple_geometry_same_... | data["geometry"]) | assert_* | complex_expr | tests/geopandas/test_geopandas.py | test_schema_multiple_geometry_same_crs | 204 | null | |
unionai-oss/pandera | import re
from typing import Any, Optional
import numpy as np
import pandas as pd
import pytest
import pandera.pandas 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
):
schema ... | pa.errors.SchemaError) | pytest.raises | complex_expr | tests/pandas/test_typing.py | test_init_pandas_dataframe_errors | 515 | null | |
unionai-oss/pandera | import asyncio
import pickle
import typing
from contextlib import nullcontext
from copy import deepcopy
import numpy as np
import pandas as pd
import pytest
from pandera.engines.pandas_engine import Engine
from pandera.pandas import (
Check,
Column,
DataFrameModel,
DataFrameSchema,
DateTime,
F... | expect | assert | variable | tests/pandas/test_decorators.py | _assert_equals | 426 | null | |
unionai-oss/pandera | import typing
from unittest.mock import MagicMock
import modin.pandas as mpd
import pandas as pd
import pytest
import pandera.pandas 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.strategi... | to_dtype | assert | variable | tests/modin/test_schemas_on_modin.py | test_dtype_coercion | 257 | null | |
unionai-oss/pandera | import logging
from contextlib import nullcontext as does_not_raise
import pyspark.sql.types as T
import pytest
from pyspark.sql import DataFrame
from pandera.backends.pyspark.decorators import cache_check_obj
from pandera.config import config_context
from pandera.pyspark import Check, Column, DataFrameSchema
from te... | caplog.text | assert | complex_expr | tests/pyspark/test_pyspark_decorators.py | test_cache_dataframe_settings | TestPanderaDecorators | 115 | null |
unionai-oss/pandera | import re
from typing import Any, Optional
import numpy as np
import pandas as pd
import pytest
import pandera.pandas 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
):
schema ... | expected | assert | variable | tests/pandas/test_typing.py | _test_literal_pandas_dtype | 133 | null | |
unionai-oss/pandera | 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" | assert | string_literal | tests/fastapi/test_app.py | test_upload_file_endpoint | 77 | null | |
unionai-oss/pandera | import asyncio
import pickle
import typing
from contextlib import nullcontext
from copy import deepcopy
import numpy as np
import pandas as pd
import pytest
from pandera.engines.pandas_engine import Engine
from pandera.pandas import (
Check,
Column,
DataFrameModel,
DataFrameSchema,
DateTime,
F... | 1 | assert | numeric_literal | tests/pandas/test_decorators.py | test_check_types_star_args | 1,442 | null | |
unionai-oss/pandera | import io
import tempfile
from typing import Any
import pandas as pd
import pytest
import pandera.pandas 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 ... | pa.errors.SchemaError) | pytest.raises | complex_expr | tests/pandas/test_from_to_format_conversions.py | test_to_format | 305 | null | |
unionai-oss/pandera | import asyncio
import pickle
import typing
from contextlib import nullcontext
from copy import deepcopy
import numpy as np
import pandas as pd
import pytest
from pandera.engines.pandas_engine import Engine
from pandera.pandas import (
Check,
Column,
DataFrameModel,
DataFrameSchema,
DateTime,
F... | kwarg) | assert_* | variable | tests/pandas/test_decorators.py | test_check_types_star_args_kwargs | 1,522 | null | |
unionai-oss/pandera | import datetime
import decimal
from unittest import mock
import pytest
from pyspark.sql.functions import col
from pyspark.sql.types import (
ArrayType,
BooleanType,
ByteType,
DateType,
DecimalType,
DoubleType,
FloatType,
IntegerType,
LongType,
MapType,
ShortType,
StringT... | expected["DATA"] | assert | complex_expr | tests/pyspark/test_pyspark_check.py | test_datatype_check_decorator | TestDecorator | 138 | null |
unionai-oss/pandera | import datetime
import decimal
from collections.abc import Sequence
from decimal import Decimal
from typing import 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 d... | pandera_dtype.type | assert | complex_expr | tests/polars/test_polars_dtypes.py | test_coerce_cast_special | 171 | null | |
unionai-oss/pandera | import copy
import pandas as pd
import pytest
from pandera.backends.pandas import error_formatters
from pandera.pandas import (
Bool,
Check,
Column,
DataFrameSchema,
Float,
Index,
Int,
SeriesSchema,
String,
errors,
)
def test_check_equality_operators() -> None:
"""Test the... | copy.deepcopy(check) | assert | func_call | tests/pandas/test_checks.py | test_check_equality_operators | 364 | null | |
unionai-oss/pandera | from typing import Annotated, 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.polars as pa
from pandera import Check as C
from pandera.a... | pa.errors.SchemaError) | pytest.raises | complex_expr | tests/polars/test_polars_container.py | test_coerce_column_dtype_error | 158 | null | |
unionai-oss/pandera | import datetime
import operator
import re
from collections.abc import Callable
from typing import Any, Optional
from unittest.mock import MagicMock
from warnings import catch_warnings
import numpy as np
import pandas as pd
import pytest
import pandera.pandas as pa
from pandera.api.checks import Check
from pandera.api... | values | assert | variable | tests/strategies/test_strategies.py | test_isin_notin_strategies | 320 | null | |
unionai-oss/pandera | import pytest
from pandera.backends.base import CoreCheckResult
from pandera.config import ValidationDepth, ValidationScope, config_context
from pandera.validation_depth import validate_scope
def custom_backend():
class CustomBackend:
# pylint: disable=unused-argument
@validate_scope(ValidationSco... | expected | assert | variable | tests/pandas/test_validation_depth.py | test_validate_scope | 44 | null | |
unionai-oss/pandera | from __future__ import annotations
import typing
import pandas as pd
import pytest
from pandas._testing import assert_frame_equal
import pandera.pandas as pa
def func(data: pa.typing.DataFrame[Model]) -> pa.typing.DataFrame[Model]:
return data
def test_forwardref_with_pandera_dataframe_generic_initialization()... | expected) | assert_* | variable | tests/pandas/test_schema_forwardref.py | test_forwardref_with_pandera_dataframe_generic_initialization | 115 | null | |
unionai-oss/pandera | import copy
import numpy as np
import pandas as pd
import pytest
from pandas._testing import assert_frame_equal
import pandera.pandas 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 Serie... | pd.Int64Dtype() | assert | func_call | tests/pandas/test_parsers.py | test_parser_with_coercion | 131 | null | |
unionai-oss/pandera | import numpy as np
import pandas as pd
from joblib import Parallel, delayed
import pandera.pandas as pa
def validate_df(df):
validated_df = Model.to_schema().validate(df)
assert validated_df.dtypes["time"] == | np.float32 | assert | complex_expr | tests/pandas/test_multithreaded.py | validate_df | 16 | null | |
unionai-oss/pandera | 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 | assert | numeric_literal | tests/io/test_pandas_io.py | test_to_yaml_registered_dataframe_check | 1,498 | null | |
unionai-oss/pandera | from typing import Union
import dask.dataframe as dd
import pandas as pd
import pytest
import pandera.pandas as pa
@pytest.mark.parametrize(
"schema1, schema2, data, invalid_data",
[
[
pa.DataFrameSchema({"col": pa.Column(int)}, coerce=True),
pa.DataFrameSchema({"col": pa.Colu... | None | assert | none_literal | tests/dask/test_dask_accessor.py | test_dataframe_series_add_schema | 44 | null | |
unionai-oss/pandera | import copy
from typing import Any, Optional
from unittest.mock import MagicMock, patch
import numpy as np
import pandas as pd
import pytest
from pandera.api.base.error_handler import ErrorHandler
from pandera.backends.pandas.components import MultiIndexBackend
from pandera.engines.pandas_engine import Engine, pandas... | default | assert | variable | tests/pandas/test_schema_components.py | test_column_default_works_when_dtype_match | 1,449 | null | |
unionai-oss/pandera | from typing import Any
import pytest
import pandera.pandas as pa
from pandera.engines.pandas_engine import Engine
def test_field_in_range_tuple():
"""Test that Field(in_range=(min, max)) works correctly."""
import pandas as pd
# Test with tuple (positional args style)
field_tuple = pa.Field(in_range... | checks_dict[0] | assert | complex_expr | tests/pandas/test_model_components.py | test_field_in_range_tuple | 141 | null | |
unionai-oss/pandera | 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"] | assert | collection | tests/pyspark/test_pyspark_model.py | test_dataframe_schema_strict | 377 | null | |
unionai-oss/pandera | from dataclasses import asdict
import pandas as pd
import pytest
import pandera.pandas as pa
from pandera.config import ValidationDepth, config_context, get_config_context
from pandera.pandas import DataFrameModel, DataFrameSchema, SeriesSchema
def disable_validation():
"""Fixture to disable validation and clean... | self.sample_data | assert | complex_expr | tests/pandas/test_pandas_config.py | test_disable_validation | TestPandasDataFrameConfig | 54 | null |
unionai-oss/pandera | 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... | expected["DATA"] | assert | complex_expr | tests/pyspark/test_pyspark_error.py | test_pyspark_schema_data_checks | 168 | null | |
unionai-oss/pandera | import datetime
import operator
import re
from collections.abc import Callable
from typing import Any, Optional
from unittest.mock import MagicMock
from warnings import catch_warnings
import numpy as np
import pandas as pd
import pytest
import pandera.pandas as pa
from pandera.api.checks import Check
from pandera.api... | size | assert | variable | tests/strategies/test_strategies.py | test_defined_check_strategy | 939 | null | |
unionai-oss/pandera | from typing import Any
import pytest
import pandera.pandas as pa
from pandera.engines.pandas_engine import Engine
def test_field_isin_list_and_tuple():
"""Test that Field(isin=list) and Field(isin=tuple) both work correctly."""
import pandas as pd
# Test with list
field_list = pa.Field(isin=[1, 2, 3... | pa.errors.SchemaError) | pytest.raises | complex_expr | tests/pandas/test_model_components.py | test_field_isin_list_and_tuple | 120 | null | |
unionai-oss/pandera | 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) | pytest.raises | complex_expr | tests/polars/test_polars_decorators.py | test_polars_dataframe_check_io | 46 | null | |
unionai-oss/pandera | import geopandas as gpd
import pandas as pd
import pytest
from pydantic import BaseModel, ValidationError
from shapely.geometry import Point
import pandera.pandas as pa
from pandera.typing.geopandas import GeoDataFrame, GeoSeries
def test_pydantic_active_geometry():
"""Test that GeoDataFrame type can be used in a... | "geometry" | assert | string_literal | tests/geopandas/test_pydantic.py | test_pydantic_active_geometry | 34 | null | |
unionai-oss/pandera | import datetime as dt
from typing import Any, Optional
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.engines import pandas_engine
from pandera.errors... | 0 | assert | numeric_literal | tests/pandas/test_pandas_engine.py | test_pandas_data_type_coerce | 84 | null | |
unionai-oss/pandera | import datetime
import decimal
from collections.abc import Sequence
from decimal import Decimal
from typing import 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 d... | coerced) | assert_* | variable | tests/polars/test_polars_dtypes.py | test_coerce_no_cast | 89 | null | |
unionai-oss/pandera | import datetime
import decimal
from collections.abc import Sequence
from decimal import Decimal
from typing import 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 d... | shape | assert | variable | tests/polars/test_polars_dtypes.py | test_polars_from_parametrized_nested_dtype | 505 | null | |
unionai-oss/pandera | import pandas as pd
import pytest
from pydantic import BaseModel
import pandera.pandas 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):
"""Test that DataFra... | True | assert | bool_literal | tests/pandas/test_pydantic_dtype.py | test_pydantic_model_coerce | 91 | null | |
unionai-oss/pandera | from collections.abc import Iterable
from datetime import date, datetime
from decimal import Decimal
from typing import Any, cast
import numpy as np
import pandas as pd
import pytest
from pandas.testing import assert_series_equal
import pandera.pandas as pa
from pandera.engines import pandas_engine
from pandera.error... | True | assert | bool_literal | tests/pandas/test_logical_dtypes.py | test_logical_datatype_check | 75 | null | |
unionai-oss/pandera | import polars as pl
from joblib import Parallel, delayed
from pandera.polars import Column, DataFrameSchema
schema = DataFrameSchema({"a": Column(pl.Int32)}, coerce=True)
def test_polars_parallel():
def fn():
return schema.validate(pl.DataFrame({"a": [1]}))
results = Parallel(2)([delayed(fn)() for _... | pl.Int32 | assert | complex_expr | tests/polars/test_polars_parallel.py | test_polars_parallel | 18 | null | |
unionai-oss/pandera | import asyncio
import pickle
import typing
from contextlib import nullcontext
from copy import deepcopy
import numpy as np
import pandas as pd
import pytest
from pandera.engines.pandas_engine import Engine
from pandera.pandas import (
Check,
Column,
DataFrameModel,
DataFrameSchema,
DateTime,
F... | arg) | assert_* | variable | tests/pandas/test_decorators.py | test_check_types_star_args_kwargs | 1,521 | null | |
unionai-oss/pandera | from dataclasses import asdict
import pandas as pd
import pytest
import pandera.pandas as pa
from pandera.config import ValidationDepth, config_context, get_config_context
from pandera.pandas import DataFrameModel, DataFrameSchema, SeriesSchema
def disable_validation():
"""Fixture to disable validation and clean... | expected | assert | variable | tests/pandas/test_pandas_config.py | test_disable_validation | TestPandasDataFrameConfig | 53 | null |
unionai-oss/pandera | import datetime as dt
from typing import Any, Optional
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.engines import pandas_engine
from pandera.errors... | dtype.type | assert | complex_expr | tests/pandas/test_pandas_engine.py | test_pandas_arrow_dtype | 456 | null | |
unionai-oss/pandera | import pickle
from collections.abc import Iterable
import pandas as pd
import pytest
from pandera.backends.pandas.register import register_pandas_backends
register_pandas_backends("pandera.typing.pandas.Series")
from pandera.api.checks import Check
from pandera.api.pandas.array import SeriesSchema
from pandera.api.... | series | assert | variable | tests/pandas/test_checks_builtin.py | check_none_failures | 64 | null | |
unionai-oss/pandera | import typing
from unittest.mock import MagicMock
import modin.pandas as mpd
import pandas as pd
import pytest
import pandera.pandas 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.strategi... | "object" | assert | string_literal | tests/modin/test_schemas_on_modin.py | test_index_dtypes | 144 | null | |
unionai-oss/pandera | import multiprocessing
import pickle
from typing import NoReturn, cast
import numpy as np
import pandas as pd
import pytest
from pandera.config import ValidationDepth, config_context
from pandera.engines import numpy_engine, pandas_engine
from pandera.errors import (
ParserError,
ReducedPickleExceptionBase,
... | 0 | assert | numeric_literal | tests/pandas/test_errors.py | _validate_error | TestSchemaError | 202 | null |
unionai-oss/pandera | 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) | pytest.raises | complex_expr | tests/polars/test_polars_dataframe_generic.py | test_series_annotation | 23 | null | |
unionai-oss/pandera | import io
import sys
from unittest.mock import MagicMock, patch
import ibis
import pytest
import pandera.ibis as pa
from pandera.typing.formats import Formats
from pandera.typing.ibis import Table, ibis_version
class TestTable:
def test_to_format_callable(self):
"""Test to_format with a callable."""
... | buffer | assert | variable | tests/ibis/test_ibis_typing.py | test_to_format_callable | TestTable | 324 | null |
unionai-oss/pandera | from dataclasses import asdict
import pyspark.sql.types as T
import pytest
from pandera.config import ValidationDepth, config_context, get_config_context
from pandera.pyspark import (
Check,
Column,
DataFrameModel,
DataFrameSchema,
Field,
)
from tests.pyspark.conftest import spark_df
pytestmark =... | input_df | assert | variable | tests/pyspark/test_pyspark_config.py | test_disable_validation | TestPanderaConfig | 56 | null |
unionai-oss/pandera | import dataclasses
import datetime
import inspect
import re
import sys
from decimal import Decimal
from typing import Any, NamedTuple
import hypothesis
import numpy as np
import pandas as pd
import pytest
from _pytest.mark.structures import ParameterSet
from _pytest.python import Metafunc
from hypothesis import strate... | expected | assert | variable | tests/pandas/test_dtypes.py | test_coerce_dt | 496 | null | |
unionai-oss/pandera | from typing import Any, Optional, Union
import pandas as pd
import pytest
import pandera.pandas 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_pand... | 0 | assert | numeric_literal | tests/pandas/test_extensions.py | test_register_check_with_strategy | 234 | null | |
unionai-oss/pandera | 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) | pytest.raises | complex_expr | tests/pyspark/test_pyspark_model.py | test_dataframe_schema_strict | 367 | null | |
unionai-oss/pandera | 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) | pytest.raises | complex_expr | tests/pyspark/test_pyspark_model.py | test_dataframe_schema_strict | 379 | null | |
unionai-oss/pandera | import io
import sys
from unittest.mock import MagicMock, patch
import ibis
import pytest
import pandera.ibis as pa
from pandera.typing.formats import Formats
from pandera.typing.ibis import Table, ibis_version
class TestTable:
def test_to_format_dict(self):
"""Test to_format with dict format."""
... | result | assert | variable | tests/ibis/test_ibis_typing.py | test_to_format_dict | TestTable | 337 | null |
unionai-oss/pandera | import dataclasses
import datetime
import inspect
import re
import sys
from decimal import Decimal
from typing import Any, NamedTuple
import hypothesis
import numpy as np
import pandas as pd
import pytest
from _pytest.mark.structures import ParameterSet
from _pytest.python import Metafunc
from hypothesis import strate... | "binary" | assert | string_literal | tests/pandas/test_dtypes.py | test_is_binary | 729 | null | |
unionai-oss/pandera | import io
import sys
from unittest.mock import MagicMock, patch
import ibis
import pytest
import pandera.ibis as pa
from pandera.typing.formats import Formats
from pandera.typing.ibis import Table, ibis_version
class TestTable:
def test_from_format_callable(self):
"""Test from_format with a callable."""... | t | assert | variable | tests/ibis/test_ibis_typing.py | test_from_format_callable | TestTable | 137 | null |
unionai-oss/pandera | import copy
from typing import Any, Optional
from unittest.mock import MagicMock, patch
import numpy as np
import pandas as pd
import pytest
from pandera.api.base.error_handler import ErrorHandler
from pandera.backends.pandas.components import MultiIndexBackend
from pandera.engines.pandas_engine import Engine, pandas... | error) | pytest.raises | variable | tests/pandas/test_schema_components.py | test_column_regex_matching | 586 | null | |
unionai-oss/pandera | 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... | {} | assert | collection | tests/pyspark/test_pyspark_model.py | test_validation_succeeds_with_missing_optional_column | 476 | null | |
unionai-oss/pandera | import typing
from unittest.mock import MagicMock
import modin.pandas as mpd
import pandas as pd
import pytest
import pandera.pandas 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.strategi... | pa.errors.SchemaError) | pytest.raises | complex_expr | tests/modin/test_schemas_on_modin.py | test_nullable | 185 | null | |
unionai-oss/pandera | import dataclasses
import datetime
import inspect
import re
import sys
from decimal import Decimal
from typing import Any, NamedTuple
import hypothesis
import numpy as np
import pandas as pd
import pytest
from _pytest.mark.structures import ParameterSet
from _pytest.python import Metafunc
from hypothesis import strate... | TypeError) | pytest.raises | variable | tests/pandas/test_dtypes.py | test_invalid_pandas_extension_dtype | 304 | null | |
unionai-oss/pandera | import geopandas as gpd
import numpy as np
import pandas as pd
import pytest
import shapely
from shapely.geometry import Point
import pandera.pandas as pa
from pandera.engines.geopandas_engine import Geometry
from pandera.engines.pandas_engine import DateTime
def test_engine_geometry_simple():
"""Test Geometry fo... | "geometry" | assert | string_literal | tests/geopandas/test_engine.py | test_engine_geometry_simple | 19 | null | |
unionai-oss/pandera | from typing import Any
import pytest
import pandera.pandas 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",... | expected | assert | variable | tests/pandas/test_model_components.py | test_field_checks | 83 | null | |
unionai-oss/pandera | from typing import Union
import pytest
from pyspark.sql import Column, DataFrame, SparkSession
from pyspark.sql.functions import col
from pyspark.sql.types import FloatType, LongType
import pandera.pyspark as pa
from pandera.config import PanderaConfig, ValidationDepth
from pandera.pyspark import pyspark_sql_accessor... | schema1 | assert | variable | tests/pyspark/test_pyspark_accessor.py | test_dataframe_add_schema | 41 | null | |
unionai-oss/pandera | import importlib
import os
import re
import subprocess
import sys
from pathlib import Path
import pytest
import pandera.pandas 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,
) -> list[dict[str, st... | len(errors) | assert | func_call | tests/mypy/test_pandas_static_type_checking.py | test_mypy_pandas_dataframe | 82 | null | |
unionai-oss/pandera | import copy
import pandas as pd
import pytest
from pandera.backends.pandas import error_formatters
from pandera.pandas import (
Bool,
Check,
Column,
DataFrameSchema,
Float,
Index,
Int,
SeriesSchema,
String,
errors,
)
def test_check_output_dtype_with_empty_datetime():
from ... | bool | assert | variable | tests/pandas/test_checks.py | test_check_output_dtype_with_empty_datetime | 522 | null | |
unionai-oss/pandera | import importlib
import os
import re
import subprocess
import sys
from pathlib import Path
import pytest
import pandera.pandas 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,
) -> list[dict[str, st... | "age" | assert | string_literal | tests/mypy/test_pandas_static_type_checking.py | test_pandera_runtime_errors | 105 | null |
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