






'''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 lowercase__					(    SCREAMING_SNAKE_CASE__				):




      """simple docstring"""




      def 				A__      ( self			:		Any		)  ->  int:


       '''simple docstring'''

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






      def 				A__      ( self			:		Optional[Any]		)  ->  Optional[Any]:


       '''simple docstring'''

       with self.assertRaises(_lowercase		):
        lowercase					:   Dict				  =pa.array(TypedSequence([1, 2, 3]		)     ,      type=pa.intaa()		)






      def 				A__      ( self			:		List[Any]		)  ->  str:


       '''simple docstring'''

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






      def 				A__      ( self			:		Union[str, Any]		)  ->  Optional[Any]:


       '''simple docstring'''

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






      def 				A__      ( self			:		str		)  ->  Dict:


       '''simple docstring'''

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






      def 				A__      ( self			:		Tuple		)  ->  Optional[int]:


       '''simple docstring'''

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






      def 				A__      ( self			:		Tuple		)  ->  Dict:


       '''simple docstring'''

       lowercase					:   Optional[int]				  =pa.array(TypedSequence(['''foo''', '''bar''']     ,      try_type=Value('''int64'''		)		)		)
       self.assertEqual(arr.type     ,      pa.string()		)






      def 				A__      ( self			:		str		)  ->  int:


       '''simple docstring'''

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






      def 				A__      ( self			:		Any		)  ->  List[Any]:


       '''simple docstring'''

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






      def 				A__      ( self			:		int		)  ->  Union[str, Any]:


       '''simple docstring'''

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






      def 				A__      ( self			:		Optional[int]		)  ->  Optional[Any]:


       '''simple docstring'''

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






      @require_pil
      def 				A__      ( self			:		int		)  ->  List[str]:


       '''simple docstring'''

       import PIL.Image

       lowercase					:   int				  =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:
        lowercase					:   Any				  =pa.array(TypedSequence([{'''path''': None, '''bytes''': b'''image_bytes'''}, pil_image]     ,      type=Image()		)		)
        lowercase					:   List[Any]				  =mock_cast_to_python_objects.call_args_list[-1]
        self.assertIn('''optimize_list_casting'''     ,      _lowercase		)
        self.assertFalse(kwargs['''optimize_list_casting''']		)





def 							lowercase_				(    __A :       Tuple					,      __A :       int			)       ->      Dict:



 """simple docstring"""




 lowercase					:   List[str]				  =pa.BufferReader(__UpperCamelCase			) if isinstance(__UpperCamelCase					,      pa.Buffer			) else pa.memory_map(__UpperCamelCase			)
 lowercase					:   Optional[Any]				  =pa.ipc.open_stream(__UpperCamelCase			)
 lowercase					:   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, 1_0]			)
@pytest.mark.parametrize(
    '''fields'''					,      [None, {'''col_1''': pa.string(), '''col_2''': pa.intaa()}, {'''col_1''': pa.string(), '''col_2''': pa.intaa()}]			)
def 							lowercase_				(    __A :       Tuple					,      __A :       Union[str, Any]			)       ->      Tuple:



 """simple docstring"""




 lowercase					:   Optional[int]				  =pa.BufferOutputStream()
 lowercase					:   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}			)
  lowercase					:   Optional[Any]				  =writer.finalize()
 assert num_examples == 2
 assert num_bytes > 0
 if not fields:
  lowercase					:   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			)


def 							lowercase_				(    )       ->      int:



 """simple docstring"""




 lowercase					:   Union[str, Any]				  =pa.BufferOutputStream()
 lowercase					:   Optional[Any]				  =Features({'''labels''': ClassLabel(names=['''neg''', '''pos''']			)}			)
 with ArrowWriter(stream=__UpperCamelCase					,      features=__UpperCamelCase			) as writer:
  writer.write({'''labels''': 0}			)
  writer.write({'''labels''': 1}			)
  lowercase					:   int				  =writer.finalize()
 assert num_examples == 2
 assert num_bytes > 0
 assert writer._schema == features.arrow_schema
 assert writer._schema.metadata == features.arrow_schema.metadata
 lowercase					:   int				  =pa.BufferReader(output.getvalue()			)
 lowercase					:   Optional[int]				  =pa.ipc.open_stream(__UpperCamelCase			)
 lowercase					:   pa.Table				  =f.read_all()
 lowercase					:   Optional[int]				  =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, 1_0]			)
def 							lowercase_				(    __A :       Tuple			)       ->      Optional[Any]:



 """simple docstring"""




 lowercase					:   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]			)
   lowercase					:   List[Any]				  =writer.finalize()


@pytest.mark.parametrize('''writer_batch_size'''					,      [None, 2, 1_0]			)
def 							lowercase_				(    __A :       str			)       ->      List[str]:



 """simple docstring"""




 lowercase					:   List[str]				  =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_0			)
   writer.write({'''col_1''': '''bar''', '''col_2''': 2}					,      key=1_0			)
   lowercase					:   Dict				  =writer.finalize()


@pytest.mark.parametrize('''writer_batch_size'''					,      [None, 2, 1_0]			)
def 							lowercase_				(    __A :       List[str]			)       ->      int:



 """simple docstring"""




 lowercase					:   List[Any]				  =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			)
  lowercase					:   List[Any]				  =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, 1_0]			)
@pytest.mark.parametrize(
    '''fields'''					,      [None, {'''col_1''': pa.string(), '''col_2''': pa.intaa()}, {'''col_1''': pa.string(), '''col_2''': pa.intaa()}]			)
def 							lowercase_				(    __A :       int					,      __A :       Optional[int]			)       ->      Tuple:



 """simple docstring"""




 lowercase					:   Union[str, Any]				  =pa.BufferOutputStream()
 lowercase					:   int				  =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''': []}			)
  lowercase					:   List[Any]				  =writer.finalize()
 assert num_examples == 2
 assert num_bytes > 0
 if not fields:
  lowercase					:   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, 1_0]			)
@pytest.mark.parametrize(
    '''fields'''					,      [None, {'''col_1''': pa.string(), '''col_2''': pa.intaa()}, {'''col_1''': pa.string(), '''col_2''': pa.intaa()}]			)
def 							lowercase_				(    __A :       str					,      __A :       int			)       ->      List[Any]:



 """simple docstring"""




 lowercase					:   Union[str, Any]				  =pa.BufferOutputStream()
 lowercase					:   str				  =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]}			)			)
  lowercase					:   Dict				  =writer.finalize()
 assert num_examples == 2
 assert num_bytes > 0
 if not fields:
  lowercase					:   List[str]				  ={"""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, 1_0]			)
@pytest.mark.parametrize(
    '''fields'''					,      [None, {'''col_1''': pa.string(), '''col_2''': pa.intaa()}, {'''col_1''': pa.string(), '''col_2''': pa.intaa()}]			)
def 							lowercase_				(    __A :       str					,      __A :       Dict			)       ->      Union[str, Any]:



 """simple docstring"""




 lowercase					:   str				  =pa.BufferOutputStream()
 lowercase					:   Optional[int]				  =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]}			)			)
  lowercase					:   Optional[Any]				  =writer.finalize()
 assert num_examples == 2
 assert num_bytes > 0
 if not fields:
  lowercase					:   List[Any]				  ={"""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 							lowercase_				(    )       ->      Optional[Any]:



 """simple docstring"""




 with tempfile.TemporaryDirectory() as tmp_dir:
  lowercase					:   str				  ={"""col_1""": pa.string(), """col_2""": pa.intaa()}
  lowercase					:   Any				  =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]}			)
   lowercase					:   Dict				  =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 							lowercase_				(    __A :       Any			)       ->      Any:



 """simple docstring"""




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


def 							lowercase_				(    __A :       int					,      __A :       Dict			)       ->      Union[str, Any]:



 """simple docstring"""




 if isinstance(lst[0]					,      __UpperCamelCase			):
  change_first_primitive_element_in_list(lst[0]					,      __UpperCamelCase			)
 else:
  lowercase					:   Tuple				  =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 							lowercase_				(    __A :       Any					,      __A :       List[str]					,      __A :       List[str]			)       ->      Optional[Any]:



 """simple docstring"""




 lowercase					:   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 							lowercase_				(    __A :       Dict					,      __A :       str					,      __A :       List[Any]			)       ->      Any:



 """simple docstring"""




 lowercase					:   List[str]				  =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
  lowercase					:   Any				  =copy.deepcopy(__UpperCamelCase			)
  lowercase					:   List[str]				  =np.iinfo(expected_dtype.to_pandas_dtype()			).max + 1
  change_first_primitive_element_in_list(__UpperCamelCase					,      __UpperCamelCase			)
  lowercase					:   str				  =pa.array(OptimizedTypedSequence(__UpperCamelCase					,      col=__UpperCamelCase			)			)
  assert get_base_dtype(arr.type			) == pa.intaa()


@pytest.mark.parametrize('''raise_exception'''					,      [False, True]			)
def 							lowercase_				(    __A :       List[str]					,      __A :       Dict			)       ->      Optional[int]:



 """simple docstring"""




 lowercase					:   List[str]				  =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 							lowercase_				(    __A :       Tuple			)       ->      Tuple:



 """simple docstring"""




 lowercase					:   List[Any]				  ="""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}			)
  lowercase					:   int				  =writer.finalize()
 assert num_examples == 2
 assert num_bytes > 0
 assert mockfs.exists(__UpperCamelCase			)


def 							lowercase_				(    )       ->      List[Any]:



 """simple docstring"""




 lowercase					:   Union[str, Any]				  =pa.BufferOutputStream()
 with ParquetWriter(stream=__UpperCamelCase			) as writer:
  writer.write({'''col_1''': '''foo''', '''col_2''': 1}			)
  writer.write({'''col_1''': '''bar''', '''col_2''': 2}			)
  lowercase					:   str				  =writer.finalize()
 assert num_examples == 2
 assert num_bytes > 0
 lowercase					:   Optional[int]				  =pa.BufferReader(output.getvalue()			)
 lowercase					:   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 							lowercase_				(    __A :       Optional[int]					,      __A :       Optional[int]			)       ->      Optional[Any]:



 """simple docstring"""




 import PIL.Image

 lowercase					:   int				  =str(tmp_path / '''test_image_rgb.jpg'''			)
 PIL.Image.fromarray(np.zeros((5, 5)					,      dtype=np.uinta			)			).save(__UpperCamelCase					,      format='''png'''			)
 lowercase					:   List[str]				  =pa.BufferOutputStream()
 with ParquetWriter(
     stream=__UpperCamelCase					,      features=Features({'''image''': Image()}			)					,      embed_local_files=__UpperCamelCase			) as writer:
  writer.write({'''image''': image_path}			)
  writer.finalize()
 lowercase					:   Tuple				  =pa.BufferReader(output.getvalue()			)
 lowercase					:   pa.Table				  =pq.read_table(__UpperCamelCase			)
 lowercase					:   List[Any]				  =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 							lowercase_				(    )       ->      Tuple:



 """simple docstring"""




 lowercase					:   Tuple				  =pa.schema([pa.field('''col_1'''					,      pa.string()					,      nullable=__UpperCamelCase			)]			)
 lowercase					:   Optional[Any]				  =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'''



import importlib.metadata
from typing import Union

from packaging.version import Version, parse

from .constants import STR_OPERATION_TO_FUNC


SCREAMING_SNAKE_CASE						=	parse(importlib.metadata.version('torch'))


def 							lowercase_				(    __A :       Union[str, Version]					,      __A :       str					,      __A :       str			)       ->      Union[str, Any]:



 """simple docstring"""




 if operation not in STR_OPERATION_TO_FUNC.keys():
  raise ValueError(F'`operation` must be one of {list(STR_OPERATION_TO_FUNC.keys()			)}, received {operation}'			)
 lowercase					:   Any				  =STR_OPERATION_TO_FUNC[operation]
 if isinstance(__A					,      __A			):
  lowercase					:   List[Any]				  =parse(importlib.metadata.version(__A			)			)
 return operation(__A					,      parse(__A			)			)





def 							lowercase_				(    __A :       str					,      __A :       str			)       ->      Tuple:



 """simple docstring"""




 return compare_versions(__A					,      __A					,      __A			)



