

'''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 						__magic_name__   (							__SCREAMING_SNAKE_CASE ):







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







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







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







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







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







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







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







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







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







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







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







 @require_pil
 def 						_A(       self   ):
   import PIL.Image

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




def 	UpperCamelCase   (       lowercase_						:    Any     ,					lowercase_						:    int	)		->	Optional[int]:




  '''simple docstring'''



  lowercase									=pa.BufferReader(lowercase_	) if isinstance(lowercase_     ,					pa.Buffer	) else pa.memory_map(lowercase_	)
  lowercase									=pa.ipc.open_stream(lowercase_	)
  lowercase									=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 	UpperCamelCase   (       lowercase_						:    Optional[Any]     ,					lowercase_						:    Optional[Any]	)		->	Union[str, Any]:




  '''simple docstring'''



  lowercase									=pa.BufferOutputStream()
  lowercase									=pa.schema(lowercase_	) if fields else None
  with ArrowWriter(stream=lowercase_     ,					schema=lowercase_     ,					writer_batch_size=lowercase_	) as writer:
    writer.write({'''col_1''': '''foo''', '''col_2''': 1}	)
    writer.write({'''col_1''': '''bar''', '''col_2''': 2}	)
    lowercase							, lowercase									=writer.finalize()
  assert num_examples == 2
  assert num_bytes > 0
  if not fields:
    lowercase									={'''col_1''': pa.string(), '''col_2''': pa.intaa()}
  assert writer._schema == pa.schema(lowercase_     ,					metadata=writer._schema.metadata	)
  _check_output(output.getvalue()     ,					expected_num_chunks=num_examples if writer_batch_size == 1 else 1	)




def 	UpperCamelCase   (       )		->	int:




  '''simple docstring'''



  lowercase									=pa.BufferOutputStream()
  lowercase									=Features({'''labels''': ClassLabel(names=['''neg''', '''pos''']	)}	)
  with ArrowWriter(stream=lowercase_     ,					features=lowercase_	) as writer:
    writer.write({'''labels''': 0}	)
    writer.write({'''labels''': 1}	)
    lowercase							, lowercase									=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									=pa.BufferReader(output.getvalue()	)
  lowercase									=pa.ipc.open_stream(lowercase_	)
  lowercase									=f.read_all()
  lowercase									=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(lowercase_	)




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




  '''simple docstring'''



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




@pytest.mark.parametrize('''writer_batch_size'''     ,					[None, 2, 1_0]	)
def 	UpperCamelCase   (       lowercase_						:    Optional[Any]	)		->	Optional[int]:




  '''simple docstring'''



  lowercase									=pa.BufferOutputStream()
  with ArrowWriter(
      stream=lowercase_     ,					writer_batch_size=lowercase_     ,					hash_salt='''split_name'''     ,					check_duplicates=lowercase_     ,					) as writer:
    with pytest.raises(lowercase_	):
      writer.write({'''col_1''': '''foo''', '''col_2''': 1}     ,					key=1_0	)
      writer.write({'''col_1''': '''bar''', '''col_2''': 2}     ,					key=1_0	)
      lowercase							, lowercase									=writer.finalize()




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




  '''simple docstring'''



  lowercase									=pa.BufferOutputStream()
  with ArrowWriter(
      stream=lowercase_     ,					writer_batch_size=lowercase_     ,					hash_salt='''split_name'''     ,					check_duplicates=lowercase_     ,					) as writer:
    writer.write({'''col_1''': '''foo''', '''col_2''': 1}     ,					key=1	)
    writer.write({'''col_1''': '''bar''', '''col_2''': 2}     ,					key=2	)
    lowercase							, lowercase									=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 	UpperCamelCase   (       lowercase_						:    Any     ,					lowercase_						:    Union[str, Any]	)		->	Any:




  '''simple docstring'''



  lowercase									=pa.BufferOutputStream()
  lowercase									=pa.schema(lowercase_	) if fields else None
  with ArrowWriter(stream=lowercase_     ,					schema=lowercase_     ,					writer_batch_size=lowercase_	) as writer:
    writer.write_batch({'''col_1''': ['''foo''', '''bar'''], '''col_2''': [1, 2]}	)
    writer.write_batch({'''col_1''': [], '''col_2''': []}	)
    lowercase							, lowercase									=writer.finalize()
  assert num_examples == 2
  assert num_bytes > 0
  if not fields:
    lowercase									={'''col_1''': pa.string(), '''col_2''': pa.intaa()}
  assert writer._schema == pa.schema(lowercase_     ,					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 	UpperCamelCase   (       lowercase_						:    str     ,					lowercase_						:    List[str]	)		->	int:




  '''simple docstring'''



  lowercase									=pa.BufferOutputStream()
  lowercase									=pa.schema(lowercase_	) if fields else None
  with ArrowWriter(stream=lowercase_     ,					schema=lowercase_     ,					writer_batch_size=lowercase_	) as writer:
    writer.write_table(pa.Table.from_pydict({'''col_1''': ['''foo''', '''bar'''], '''col_2''': [1, 2]}	)	)
    lowercase							, lowercase									=writer.finalize()
  assert num_examples == 2
  assert num_bytes > 0
  if not fields:
    lowercase									={'''col_1''': pa.string(), '''col_2''': pa.intaa()}
  assert writer._schema == pa.schema(lowercase_     ,					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 	UpperCamelCase   (       lowercase_						:    Union[str, Any]     ,					lowercase_						:    Tuple	)		->	int:




  '''simple docstring'''



  lowercase									=pa.BufferOutputStream()
  lowercase									=pa.schema(lowercase_	) if fields else None
  with ArrowWriter(stream=lowercase_     ,					schema=lowercase_     ,					writer_batch_size=lowercase_	) 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							, lowercase									=writer.finalize()
  assert num_examples == 2
  assert num_bytes > 0
  if not fields:
    lowercase									={'''col_1''': pa.string(), '''col_2''': pa.intaa()}
  assert writer._schema == pa.schema(lowercase_     ,					metadata=writer._schema.metadata	)
  _check_output(output.getvalue()     ,					expected_num_chunks=num_examples if writer_batch_size == 1 else 1	)




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




  '''simple docstring'''



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




def 	UpperCamelCase   (       lowercase_						:    List[str]	)		->	Dict:




  '''simple docstring'''



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




def 	UpperCamelCase   (       lowercase_						:    Dict     ,					lowercase_						:    str	)		->	Optional[int]:




  '''simple docstring'''



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




  '''simple docstring'''



  lowercase									=pa.array(TypedSequence(lowercase_     ,					optimized_int_type=lowercase_	)	)
  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 	UpperCamelCase   (       lowercase_						:    Dict     ,					lowercase_						:    List[Any]     ,					lowercase_						:    Union[str, Any]	)		->	Any:




  '''simple docstring'''



  lowercase									=pa.array(OptimizedTypedSequence(lowercase_     ,					col=lowercase_	)	)
  assert get_base_dtype(arr.type	) == expected_dtype

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




@pytest.mark.parametrize('''raise_exception'''     ,					[False, True]	)
def 	UpperCamelCase   (       lowercase_						:    Any     ,					lowercase_						:    Tuple	)		->	Optional[int]:




  '''simple docstring'''



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




def 	UpperCamelCase   (       lowercase_						:    List[Any]	)		->	str:




  '''simple docstring'''



  lowercase									='''mock://dataset-train.arrow'''
  with ArrowWriter(path=lowercase_     ,					storage_options=mockfs.storage_options	) as writer:
    assert isinstance(writer._fs     ,					type(lowercase_	)	)
    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							, lowercase									=writer.finalize()
  assert num_examples == 2
  assert num_bytes > 0
  assert mockfs.exists(lowercase_	)




def 	UpperCamelCase   (       )		->	Optional[int]:




  '''simple docstring'''



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




@require_pil
@pytest.mark.parametrize('''embed_local_files'''     ,					[False, True]	)
def 	UpperCamelCase   (       lowercase_						:    Dict     ,					lowercase_						:    Any	)		->	str:




  '''simple docstring'''



  import PIL.Image

  lowercase									=str(tmp_path / '''test_image_rgb.jpg'''	)
  PIL.Image.fromarray(np.zeros((5, 5)     ,					dtype=np.uinta	)	).save(lowercase_     ,					format='''png'''	)
  lowercase									=pa.BufferOutputStream()
  with ParquetWriter(
      stream=lowercase_     ,					features=Features({'''image''': Image()}	)     ,					embed_local_files=lowercase_	) as writer:
    writer.write({'''image''': image_path}	)
    writer.finalize()
  lowercase									=pa.BufferReader(output.getvalue()	)
  lowercase									=pq.read_table(lowercase_	)
  lowercase									=pa_table.to_pydict()
  if embed_local_files:
    assert isinstance(out['''image'''][0]['''path''']     ,					lowercase_	)
    with open(lowercase_     ,					'''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 	UpperCamelCase   (       )		->	str:




  '''simple docstring'''



  lowercase									=pa.schema([pa.field('''col_1'''     ,					pa.string()     ,					nullable=lowercase_	)]	)
  lowercase									=pa.BufferOutputStream()
  with ArrowWriter(stream=lowercase_	) as writer:
    writer._build_writer(inferred_schema=lowercase_	)
    assert writer._schema == pa.schema([pa.field('''col_1'''     ,					pa.string()	)]	)






'''simple docstring'''


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available


lowerCAmelCase_      :  Optional[Any]				     =  {}

try:
 if not is_sentencepiece_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCAmelCase_      :  Any				     =  ['GPTSw3Tokenizer']


if TYPE_CHECKING:
 try:
  if not is_sentencepiece_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .tokenization_gpt_swa import GPTSwaTokenizer

else:
 import sys

 lowerCAmelCase_      :  int				     =  _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
