





"""simple docstring"""





import copy
import os
import tempfile
from unittest import TestCase
from unittest.mock import patch

import numpy as np
import pyarrow as pa
import pyarrow.parquet as pq
import pytest

from datasets.arrow_writer import ArrowWriter, OptimizedTypedSequence, ParquetWriter, TypedSequence
from datasets.features import ArrayaD, ClassLabel, Features, Image, Value
from datasets.features.features import ArrayaDExtensionType, cast_to_python_objects
from datasets.keyhash import DuplicatedKeysError, InvalidKeyError

from .utils import require_pil




class 							snake_case							(			__UpperCAmelCase ):

      '''simple docstring'''



      def       A_					(							self       :      List[str] ):


        '''simple docstring'''




        __UpperCAmelCase    :						Optional[int]       =						pa.array(TypedSequence([1, 2, 3] ) )
        self.assertEqual(arr.type						,				pa.intaa() )

      def       A_					(							self       :      List[Any] ):


        '''simple docstring'''




        with self.assertRaises(__lowercase ):
          __UpperCAmelCase    :						Optional[Any]       =						pa.array(TypedSequence([1, 2, 3] )						,				type=pa.intaa() )

      def       A_					(							self       :      Dict ):


        '''simple docstring'''




        with self.assertRaises(__lowercase ):
          __UpperCAmelCase    :						Union[str, Any]       =						pa.array(TypedSequence([1, 2, 3]						,				try_type=Value('''bool''' )						,				type=Value('''int64''' ) ) )

      def       A_					(							self       :      Optional[int] ):


        '''simple docstring'''




        __UpperCAmelCase    :						List[str]       =						pa.array(TypedSequence([1, 2, 3]						,				type=Value('''int32''' ) ) )
        self.assertEqual(arr.type						,				pa.intaa() )

      def       A_					(							self       :      Optional[Any] ):


        '''simple docstring'''




        with self.assertRaises((TypeError, pa.lib.ArrowInvalid) ):
          __UpperCAmelCase    :						Optional[int]       =						pa.array(TypedSequence(['''foo''', '''bar''']						,				type=Value('''int64''' ) ) )

      def       A_					(							self       :      int ):


        '''simple docstring'''




        __UpperCAmelCase    :						List[str]       =						pa.array(TypedSequence([1, 2, 3]						,				try_type=Value('''int32''' ) ) )
        self.assertEqual(arr.type						,				pa.intaa() )

      def       A_					(							self       :      str ):


        '''simple docstring'''




        __UpperCAmelCase    :						Union[str, Any]       =						pa.array(TypedSequence(['''foo''', '''bar''']						,				try_type=Value('''int64''' ) ) )
        self.assertEqual(arr.type						,				pa.string() )

      def       A_					(							self       :      Dict ):


        '''simple docstring'''




        __UpperCAmelCase    :						List[Any]       =						pa.array(TypedSequence([[[1, 2, 3]]]						,				type=ArrayaD((1, 3)						,				'''int64''' ) ) )
        self.assertEqual(arr.type						,				ArrayaDExtensionType((1, 3)						,				'''int64''' ) )

      def       A_					(							self       :      int ):


        '''simple docstring'''




        with self.assertRaises((TypeError, pa.lib.ArrowInvalid) ):
          __UpperCAmelCase    :						Dict       =						pa.array(TypedSequence(['''foo''', '''bar''']						,				type=ArrayaD((1, 3)						,				'''int64''' ) ) )

      def       A_					(							self       :      Dict ):


        '''simple docstring'''




        __UpperCAmelCase    :						Dict       =						pa.array(TypedSequence([[[1, 2, 3]]]						,				try_type=ArrayaD((1, 3)						,				'''int64''' ) ) )
        self.assertEqual(arr.type						,				ArrayaDExtensionType((1, 3)						,				'''int64''' ) )

      def       A_					(							self       :      int ):


        '''simple docstring'''




        __UpperCAmelCase    :						Union[str, Any]       =						pa.array(TypedSequence(['''foo''', '''bar''']						,				try_type=ArrayaD((1, 3)						,				'''int64''' ) ) )
        self.assertEqual(arr.type						,				pa.string() )







      @require_pil
      def       A_					(							self       :      Tuple ):


        '''simple docstring'''




        import PIL.Image

        __UpperCAmelCase    :						Dict       =						PIL.Image.fromarray(np.arange(10						,				dtype=np.uinta ).reshape(2						,				5 ) )
        with patch(
            '''datasets.arrow_writer.cast_to_python_objects'''						,				side_effect=__lowercase ) as mock_cast_to_python_objects:
          __UpperCAmelCase    :						List[Any]       =						pa.array(TypedSequence([{'''path''': None, '''bytes''': b'''image_bytes'''}, pil_image]						,				type=Image() ) )
          __UpperCAmelCase       ,     __UpperCAmelCase    :						Tuple       =						mock_cast_to_python_objects.call_args_list[-1]
          self.assertIn('''optimize_list_casting'''						,				__lowercase )
          self.assertFalse(kwargs['''optimize_list_casting'''] )


def       lowerCamelCase_       (   UpperCAmelCase_  ,			UpperCAmelCase_  )						->Optional[Any]:





  """simple docstring"""


  __UpperCAmelCase    :						Tuple       =						pa.BufferReader(UpperCAmelCase_  ) if isinstance(UpperCAmelCase_  ,			pa.Buffer  ) else pa.memory_map(UpperCAmelCase_  )
  __UpperCAmelCase    :						List[str]       =						pa.ipc.open_stream(UpperCAmelCase_  )
  __UpperCAmelCase    :						pa.Table       =						f.read_all()
  assert len(pa_table.to_batches()  ) == expected_num_chunks
  assert pa_table.to_pydict() == {"col_1": ["foo", "bar"], "col_2": [1, 2]}
  del pa_table


@pytest.mark.parametrize('''writer_batch_size'''  ,			[None, 1, 10]  )
@pytest.mark.parametrize(
    '''fields'''  ,			[None, {'''col_1''': pa.string(), '''col_2''': pa.intaa()}, {'''col_1''': pa.string(), '''col_2''': pa.intaa()}]  )
def       lowerCamelCase_       (   UpperCAmelCase_  ,			UpperCAmelCase_  )						->Tuple:





  """simple docstring"""


  __UpperCAmelCase    :						Optional[Any]       =						pa.BufferOutputStream()
  __UpperCAmelCase    :						List[Any]       =						pa.schema(UpperCAmelCase_  ) if fields else None
  with ArrowWriter(stream=UpperCAmelCase_  ,			schema=UpperCAmelCase_  ,			writer_batch_size=UpperCAmelCase_  ) as writer:
    writer.write({'''col_1''': '''foo''', '''col_2''': 1}  )
    writer.write({'''col_1''': '''bar''', '''col_2''': 2}  )
    __UpperCAmelCase       ,     __UpperCAmelCase    :						Union[str, Any]       =						writer.finalize()
  assert num_examples == 2
  assert num_bytes > 0
  if not fields:
    __UpperCAmelCase    :						int       =						{'''col_1''': pa.string(), '''col_2''': pa.intaa()}
  assert writer._schema == pa.schema(UpperCAmelCase_  ,			metadata=writer._schema.metadata  )
  _check_output(output.getvalue()  ,			expected_num_chunks=num_examples if writer_batch_size == 1 else 1  )


def       lowerCamelCase_       (   )						->Union[str, Any]:





  """simple docstring"""


  __UpperCAmelCase    :						List[Any]       =						pa.BufferOutputStream()
  __UpperCAmelCase    :						Optional[Any]       =						Features({'''labels''': ClassLabel(names=['''neg''', '''pos''']  )}  )
  with ArrowWriter(stream=UpperCAmelCase_  ,			features=UpperCAmelCase_  ) as writer:
    writer.write({'''labels''': 0}  )
    writer.write({'''labels''': 1}  )
    __UpperCAmelCase       ,     __UpperCAmelCase    :						List[str]       =						writer.finalize()
  assert num_examples == 2
  assert num_bytes > 0
  assert writer._schema == features.arrow_schema
  assert writer._schema.metadata == features.arrow_schema.metadata
  __UpperCAmelCase    :						int       =						pa.BufferReader(output.getvalue()  )
  __UpperCAmelCase    :						List[Any]       =						pa.ipc.open_stream(UpperCAmelCase_  )
  __UpperCAmelCase    :						pa.Table       =						f.read_all()
  __UpperCAmelCase    :						str       =						pa_table.schema
  assert pa_table.num_rows == 2
  assert schema == features.arrow_schema
  assert schema.metadata == features.arrow_schema.metadata
  assert features == Features.from_arrow_schema(UpperCAmelCase_  )


@pytest.mark.parametrize('''writer_batch_size'''  ,			[None, 1, 10]  )
def       lowerCamelCase_       (   UpperCAmelCase_  )						->Optional[Any]:





  """simple docstring"""


  __UpperCAmelCase    :						int       =						pa.BufferOutputStream()
  with ArrowWriter(
      stream=UpperCAmelCase_  ,			writer_batch_size=UpperCAmelCase_  ,			hash_salt='''split_name'''  ,			check_duplicates=UpperCAmelCase_  ,			) as writer:
    with pytest.raises(UpperCAmelCase_  ):
      writer.write({'''col_1''': '''foo''', '''col_2''': 1}  ,			key=[1, 2]  )
      __UpperCAmelCase       ,     __UpperCAmelCase    :						Union[str, Any]       =						writer.finalize()


@pytest.mark.parametrize('''writer_batch_size'''  ,			[None, 2, 10]  )
def       lowerCamelCase_       (   UpperCAmelCase_  )						->str:





  """simple docstring"""


  __UpperCAmelCase    :						Tuple       =						pa.BufferOutputStream()
  with ArrowWriter(
      stream=UpperCAmelCase_  ,			writer_batch_size=UpperCAmelCase_  ,			hash_salt='''split_name'''  ,			check_duplicates=UpperCAmelCase_  ,			) as writer:
    with pytest.raises(UpperCAmelCase_  ):
      writer.write({'''col_1''': '''foo''', '''col_2''': 1}  ,			key=10  )
      writer.write({'''col_1''': '''bar''', '''col_2''': 2}  ,			key=10  )
      __UpperCAmelCase       ,     __UpperCAmelCase    :						int       =						writer.finalize()


@pytest.mark.parametrize('''writer_batch_size'''  ,			[None, 2, 10]  )
def       lowerCamelCase_       (   UpperCAmelCase_  )						->Any:





  """simple docstring"""


  __UpperCAmelCase    :						Dict       =						pa.BufferOutputStream()
  with ArrowWriter(
      stream=UpperCAmelCase_  ,			writer_batch_size=UpperCAmelCase_  ,			hash_salt='''split_name'''  ,			check_duplicates=UpperCAmelCase_  ,			) as writer:
    writer.write({'''col_1''': '''foo''', '''col_2''': 1}  ,			key=1  )
    writer.write({'''col_1''': '''bar''', '''col_2''': 2}  ,			key=2  )
    __UpperCAmelCase       ,     __UpperCAmelCase    :						str       =						writer.finalize()
  assert num_examples == 2
  assert num_bytes > 0
  _check_output(output.getvalue()  ,			expected_num_chunks=num_examples if writer_batch_size == 1 else 1  )


@pytest.mark.parametrize('''writer_batch_size'''  ,			[None, 1, 10]  )
@pytest.mark.parametrize(
    '''fields'''  ,			[None, {'''col_1''': pa.string(), '''col_2''': pa.intaa()}, {'''col_1''': pa.string(), '''col_2''': pa.intaa()}]  )
def       lowerCamelCase_       (   UpperCAmelCase_  ,			UpperCAmelCase_  )						->List[Any]:





  """simple docstring"""


  __UpperCAmelCase    :						Optional[int]       =						pa.BufferOutputStream()
  __UpperCAmelCase    :						Optional[Any]       =						pa.schema(UpperCAmelCase_  ) if fields else None
  with ArrowWriter(stream=UpperCAmelCase_  ,			schema=UpperCAmelCase_  ,			writer_batch_size=UpperCAmelCase_  ) as writer:
    writer.write_batch({'''col_1''': ['''foo''', '''bar'''], '''col_2''': [1, 2]}  )
    writer.write_batch({'''col_1''': [], '''col_2''': []}  )
    __UpperCAmelCase       ,     __UpperCAmelCase    :						Union[str, Any]       =						writer.finalize()
  assert num_examples == 2
  assert num_bytes > 0
  if not fields:
    __UpperCAmelCase    :						Tuple       =						{'''col_1''': pa.string(), '''col_2''': pa.intaa()}
  assert writer._schema == pa.schema(UpperCAmelCase_  ,			metadata=writer._schema.metadata  )
  _check_output(output.getvalue()  ,			expected_num_chunks=num_examples if writer_batch_size == 1 else 1  )


@pytest.mark.parametrize('''writer_batch_size'''  ,			[None, 1, 10]  )
@pytest.mark.parametrize(
    '''fields'''  ,			[None, {'''col_1''': pa.string(), '''col_2''': pa.intaa()}, {'''col_1''': pa.string(), '''col_2''': pa.intaa()}]  )
def       lowerCamelCase_       (   UpperCAmelCase_  ,			UpperCAmelCase_  )						->List[str]:





  """simple docstring"""


  __UpperCAmelCase    :						int       =						pa.BufferOutputStream()
  __UpperCAmelCase    :						Optional[int]       =						pa.schema(UpperCAmelCase_  ) if fields else None
  with ArrowWriter(stream=UpperCAmelCase_  ,			schema=UpperCAmelCase_  ,			writer_batch_size=UpperCAmelCase_  ) as writer:
    writer.write_table(pa.Table.from_pydict({'''col_1''': ['''foo''', '''bar'''], '''col_2''': [1, 2]}  )  )
    __UpperCAmelCase       ,     __UpperCAmelCase    :						Optional[int]       =						writer.finalize()
  assert num_examples == 2
  assert num_bytes > 0
  if not fields:
    __UpperCAmelCase    :						Tuple       =						{'''col_1''': pa.string(), '''col_2''': pa.intaa()}
  assert writer._schema == pa.schema(UpperCAmelCase_  ,			metadata=writer._schema.metadata  )
  _check_output(output.getvalue()  ,			expected_num_chunks=num_examples if writer_batch_size == 1 else 1  )


@pytest.mark.parametrize('''writer_batch_size'''  ,			[None, 1, 10]  )
@pytest.mark.parametrize(
    '''fields'''  ,			[None, {'''col_1''': pa.string(), '''col_2''': pa.intaa()}, {'''col_1''': pa.string(), '''col_2''': pa.intaa()}]  )
def       lowerCamelCase_       (   UpperCAmelCase_  ,			UpperCAmelCase_  )						->Optional[int]:





  """simple docstring"""


  __UpperCAmelCase    :						List[Any]       =						pa.BufferOutputStream()
  __UpperCAmelCase    :						Union[str, Any]       =						pa.schema(UpperCAmelCase_  ) if fields else None
  with ArrowWriter(stream=UpperCAmelCase_  ,			schema=UpperCAmelCase_  ,			writer_batch_size=UpperCAmelCase_  ) as writer:
    writer.write_row(pa.Table.from_pydict({'''col_1''': ['''foo'''], '''col_2''': [1]}  )  )
    writer.write_row(pa.Table.from_pydict({'''col_1''': ['''bar'''], '''col_2''': [2]}  )  )
    __UpperCAmelCase       ,     __UpperCAmelCase    :						Optional[Any]       =						writer.finalize()
  assert num_examples == 2
  assert num_bytes > 0
  if not fields:
    __UpperCAmelCase    :						Dict       =						{'''col_1''': pa.string(), '''col_2''': pa.intaa()}
  assert writer._schema == pa.schema(UpperCAmelCase_  ,			metadata=writer._schema.metadata  )
  _check_output(output.getvalue()  ,			expected_num_chunks=num_examples if writer_batch_size == 1 else 1  )


def       lowerCamelCase_       (   )						->Optional[int]:





  """simple docstring"""


  with tempfile.TemporaryDirectory() as tmp_dir:
    __UpperCAmelCase    :						Optional[int]       =						{'''col_1''': pa.string(), '''col_2''': pa.intaa()}
    __UpperCAmelCase    :						Tuple       =						os.path.join(UpperCAmelCase_  ,			'''test.arrow'''  )
    with ArrowWriter(path=UpperCAmelCase_  ,			schema=pa.schema(UpperCAmelCase_  )  ) as writer:
      writer.write_batch({'''col_1''': ['''foo''', '''bar'''], '''col_2''': [1, 2]}  )
      __UpperCAmelCase       ,     __UpperCAmelCase    :						Optional[int]       =						writer.finalize()
    assert num_examples == 2
    assert num_bytes > 0
    assert writer._schema == pa.schema(UpperCAmelCase_  ,			metadata=writer._schema.metadata  )
    _check_output(UpperCAmelCase_  ,			1  )


def       lowerCamelCase_       (   UpperCAmelCase_  )						->List[str]:





  """simple docstring"""


  if pa.types.is_list(UpperCAmelCase_  ):
    return get_base_dtype(arr_type.value_type  )
  else:
    return arr_type


def       lowerCamelCase_       (   UpperCAmelCase_  ,			UpperCAmelCase_  )						->Union[str, Any]:





  """simple docstring"""


  if isinstance(lst[0]  ,			UpperCAmelCase_  ):
    change_first_primitive_element_in_list(lst[0]  ,			UpperCAmelCase_  )
  else:
    __UpperCAmelCase    :						str       =						value


@pytest.mark.parametrize('''optimized_int_type, expected_dtype'''  ,			[(None, pa.intaa()), (Value('''int32'''  ), pa.intaa())]  )
@pytest.mark.parametrize('''sequence'''  ,			[[1, 2, 3], [[1, 2, 3]], [[[1, 2, 3]]]]  )
def       lowerCamelCase_       (   UpperCAmelCase_  ,			UpperCAmelCase_  ,			UpperCAmelCase_  )						->int:





  """simple docstring"""


  __UpperCAmelCase    :						str       =						pa.array(TypedSequence(UpperCAmelCase_  ,			optimized_int_type=UpperCAmelCase_  )  )
  assert get_base_dtype(arr.type  ) == expected_dtype


@pytest.mark.parametrize(
    '''col, expected_dtype'''  ,			[
        ('''attention_mask''', pa.inta()),
        ('''special_tokens_mask''', pa.inta()),
        ('''token_type_ids''', pa.inta()),
        ('''input_ids''', pa.intaa()),
        ('''other''', pa.intaa()),
    ]  ,			)
@pytest.mark.parametrize('''sequence'''  ,			[[1, 2, 3], [[1, 2, 3]], [[[1, 2, 3]]]]  )
def       lowerCamelCase_       (   UpperCAmelCase_  ,			UpperCAmelCase_  ,			UpperCAmelCase_  )						->str:





  """simple docstring"""


  __UpperCAmelCase    :						Optional[int]       =						pa.array(OptimizedTypedSequence(UpperCAmelCase_  ,			col=UpperCAmelCase_  )  )
  assert get_base_dtype(arr.type  ) == expected_dtype

  # not in range
  if col != "other":
    # avoids errors due to in-place modifications
    __UpperCAmelCase    :						Optional[Any]       =						copy.deepcopy(UpperCAmelCase_  )
    __UpperCAmelCase    :						int       =						np.iinfo(expected_dtype.to_pandas_dtype()  ).max + 1
    change_first_primitive_element_in_list(UpperCAmelCase_  ,			UpperCAmelCase_  )
    __UpperCAmelCase    :						List[Any]       =						pa.array(OptimizedTypedSequence(UpperCAmelCase_  ,			col=UpperCAmelCase_  )  )
    assert get_base_dtype(arr.type  ) == pa.intaa()


@pytest.mark.parametrize('''raise_exception'''  ,			[False, True]  )
def       lowerCamelCase_       (   UpperCAmelCase_  ,			UpperCAmelCase_  )						->Optional[Any]:





  """simple docstring"""


  __UpperCAmelCase    :						Tuple       =						str(tmp_path / '''dataset-train.arrow'''  )
  try:
    with ArrowWriter(path=UpperCAmelCase_  ) as writer:
      if raise_exception:
        raise pa.lib.ArrowInvalid()
      else:
        writer.stream.close()
  except pa.lib.ArrowInvalid:
    pass
  finally:
    assert writer.stream.closed


def       lowerCamelCase_       (   UpperCAmelCase_  )						->Union[str, Any]:





  """simple docstring"""


  __UpperCAmelCase    :						List[str]       =						'''mock://dataset-train.arrow'''
  with ArrowWriter(path=UpperCAmelCase_  ,			storage_options=mockfs.storage_options  ) as writer:
    assert isinstance(writer._fs  ,			type(UpperCAmelCase_  )  )
    assert writer._fs.storage_options == mockfs.storage_options
    writer.write({'''col_1''': '''foo''', '''col_2''': 1}  )
    writer.write({'''col_1''': '''bar''', '''col_2''': 2}  )
    __UpperCAmelCase       ,     __UpperCAmelCase    :						List[Any]       =						writer.finalize()
  assert num_examples == 2
  assert num_bytes > 0
  assert mockfs.exists(UpperCAmelCase_  )


def       lowerCamelCase_       (   )						->str:





  """simple docstring"""


  __UpperCAmelCase    :						Dict       =						pa.BufferOutputStream()
  with ParquetWriter(stream=UpperCAmelCase_  ) as writer:
    writer.write({'''col_1''': '''foo''', '''col_2''': 1}  )
    writer.write({'''col_1''': '''bar''', '''col_2''': 2}  )
    __UpperCAmelCase       ,     __UpperCAmelCase    :						str       =						writer.finalize()
  assert num_examples == 2
  assert num_bytes > 0
  __UpperCAmelCase    :						Dict       =						pa.BufferReader(output.getvalue()  )
  __UpperCAmelCase    :						pa.Table       =						pq.read_table(UpperCAmelCase_  )
  assert pa_table.to_pydict() == {"col_1": ["foo", "bar"], "col_2": [1, 2]}


@require_pil
@pytest.mark.parametrize('''embed_local_files'''  ,			[False, True]  )
def       lowerCamelCase_       (   UpperCAmelCase_  ,			UpperCAmelCase_  )						->Optional[int]:





  """simple docstring"""


  import PIL.Image

  __UpperCAmelCase    :						Any       =						str(tmp_path / '''test_image_rgb.jpg'''  )
  PIL.Image.fromarray(np.zeros((5, 5)  ,			dtype=np.uinta  )  ).save(UpperCAmelCase_  ,			format='''png'''  )
  __UpperCAmelCase    :						Tuple       =						pa.BufferOutputStream()
  with ParquetWriter(
      stream=UpperCAmelCase_  ,			features=Features({'''image''': Image()}  )  ,			embed_local_files=UpperCAmelCase_  ) as writer:
    writer.write({'''image''': image_path}  )
    writer.finalize()
  __UpperCAmelCase    :						Union[str, Any]       =						pa.BufferReader(output.getvalue()  )
  __UpperCAmelCase    :						pa.Table       =						pq.read_table(UpperCAmelCase_  )
  __UpperCAmelCase    :						List[str]       =						pa_table.to_pydict()
  if embed_local_files:
    assert isinstance(out['''image'''][0]['''path''']  ,			UpperCAmelCase_  )
    with open(UpperCAmelCase_  ,			'''rb'''  ) as f:
      assert out["image"][0]["bytes"] == f.read()
  else:
    assert out["image"][0]["path"] == image_path
    assert out["image"][0]["bytes"] is None







def       lowerCamelCase_       (   )						->List[Any]:





  """simple docstring"""


  __UpperCAmelCase    :						Union[str, Any]       =						pa.schema([pa.field('''col_1'''  ,			pa.string()  ,			nullable=UpperCAmelCase_  )]  )
  __UpperCAmelCase    :						int       =						pa.BufferOutputStream()
  with ArrowWriter(stream=UpperCAmelCase_  ) as writer:
    writer._build_writer(inferred_schema=UpperCAmelCase_  )
    assert writer._schema == pa.schema([pa.field('''col_1'''  ,			pa.string()  )]  )






"""simple docstring"""





def       lowerCamelCase_       (   UpperCAmelCase_  ,			UpperCAmelCase_  )						->bool:





  """simple docstring"""


  return numa ^ numa < 0


if __name__ == "__main__":
  import doctest

  doctest.testmod()