




"""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__							(       UpperCAmelCase__				):






				'''simple docstring'''





				def    _lowerCAmelCase				(       self ):





							"""simple docstring"""
							lowerCamelCase			      =					pa.array(TypedSequence([1, 2, 3] ) )
							self.assertEqual(arr.type		, pa.intaa() )





				def    _lowerCAmelCase				(       self ):





							"""simple docstring"""
							with self.assertRaises(_a ):
										lowerCamelCase			      =					pa.array(TypedSequence([1, 2, 3] )		, type=pa.intaa() )





				def    _lowerCAmelCase				(       self ):





							"""simple docstring"""
							with self.assertRaises(_a ):
										lowerCamelCase			      =					pa.array(TypedSequence([1, 2, 3]		, try_type=Value("""bool""" )		, type=Value("""int64""" ) ) )





				def    _lowerCAmelCase				(       self ):





							"""simple docstring"""
							lowerCamelCase			      =					pa.array(TypedSequence([1, 2, 3]		, type=Value("""int32""" ) ) )
							self.assertEqual(arr.type		, pa.intaa() )





				def    _lowerCAmelCase				(       self ):





							"""simple docstring"""
							with self.assertRaises((TypeError, pa.lib.ArrowInvalid) ):
										lowerCamelCase			      =					pa.array(TypedSequence(["""foo""", """bar"""]		, type=Value("""int64""" ) ) )





				def    _lowerCAmelCase				(       self ):





							"""simple docstring"""
							lowerCamelCase			      =					pa.array(TypedSequence([1, 2, 3]		, try_type=Value("""int32""" ) ) )
							self.assertEqual(arr.type		, pa.intaa() )





				def    _lowerCAmelCase				(       self ):





							"""simple docstring"""
							lowerCamelCase			      =					pa.array(TypedSequence(["""foo""", """bar"""]		, try_type=Value("""int64""" ) ) )
							self.assertEqual(arr.type		, pa.string() )





				def    _lowerCAmelCase				(       self ):





							"""simple docstring"""
							lowerCamelCase			      =					pa.array(TypedSequence([[[1, 2, 3]]]		, type=ArrayaD((1, 3)		, """int64""" ) ) )
							self.assertEqual(arr.type		, ArrayaDExtensionType((1, 3)		, """int64""" ) )





				def    _lowerCAmelCase				(       self ):





							"""simple docstring"""
							with self.assertRaises((TypeError, pa.lib.ArrowInvalid) ):
										lowerCamelCase			      =					pa.array(TypedSequence(["""foo""", """bar"""]		, type=ArrayaD((1, 3)		, """int64""" ) ) )





				def    _lowerCAmelCase				(       self ):





							"""simple docstring"""
							lowerCamelCase			      =					pa.array(TypedSequence([[[1, 2, 3]]]		, try_type=ArrayaD((1, 3)		, """int64""" ) ) )
							self.assertEqual(arr.type		, ArrayaDExtensionType((1, 3)		, """int64""" ) )





				def    _lowerCAmelCase				(       self ):





							"""simple docstring"""
							lowerCamelCase			      =					pa.array(TypedSequence(["""foo""", """bar"""]		, try_type=ArrayaD((1, 3)		, """int64""" ) ) )
							self.assertEqual(arr.type		, pa.string() )





				@require_pil
				def    _lowerCAmelCase				(       self ):





							"""simple docstring"""
							import PIL.Image

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




def     a__ (				snake_case__       , snake_case__				)						->					List[Any]:
			lowerCamelCase			      =					pa.BufferReader(snake_case__				) if isinstance(snake_case__       , pa.Buffer				) else pa.memory_map(snake_case__				)
			lowerCamelCase			      =					pa.ipc.open_stream(snake_case__				)
			lowerCamelCase			      =					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     a__ (				snake_case__       , snake_case__				)						->					Optional[Any]:
			lowerCamelCase			      =					pa.BufferOutputStream()
			lowerCamelCase			      =					pa.schema(snake_case__				) if fields else None
			with ArrowWriter(stream=snake_case__       , schema=snake_case__       , writer_batch_size=snake_case__				) as writer:
						writer.write({"""col_1""": """foo""", """col_2""": 1}				)
						writer.write({"""col_1""": """bar""", """col_2""": 2}				)
						lowerCamelCase      ,   lowerCamelCase			      =					writer.finalize()
			assert num_examples == 2
			assert num_bytes > 0
			if not fields:
						lowerCamelCase			      =					{"""col_1""": pa.string(), """col_2""": pa.intaa()}
			assert writer._schema == pa.schema(snake_case__       , metadata=writer._schema.metadata				)
			_check_output(output.getvalue()       , expected_num_chunks=num_examples if writer_batch_size == 1 else 1				)



def     a__ (				)						->					List[Any]:
			lowerCamelCase			      =					pa.BufferOutputStream()
			lowerCamelCase			      =					Features({"""labels""": ClassLabel(names=["""neg""", """pos"""]				)}				)
			with ArrowWriter(stream=snake_case__       , features=snake_case__				) as writer:
						writer.write({"""labels""": 0}				)
						writer.write({"""labels""": 1}				)
						lowerCamelCase      ,   lowerCamelCase			      =					writer.finalize()
			assert num_examples == 2
			assert num_bytes > 0
			assert writer._schema == features.arrow_schema
			assert writer._schema.metadata == features.arrow_schema.metadata
			lowerCamelCase			      =					pa.BufferReader(output.getvalue()				)
			lowerCamelCase			      =					pa.ipc.open_stream(snake_case__				)
			lowerCamelCase			      =					f.read_all()
			lowerCamelCase			      =					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(snake_case__				)



@pytest.mark.parametrize("""writer_batch_size"""       , [None, 1, 10]				)
def     a__ (				snake_case__				)						->					Any:
			lowerCamelCase			      =					pa.BufferOutputStream()
			with ArrowWriter(
			    stream=snake_case__       , writer_batch_size=snake_case__       , hash_salt="""split_name"""       , check_duplicates=snake_case__       , ) as writer:
						with pytest.raises(snake_case__				):
									writer.write({"""col_1""": """foo""", """col_2""": 1}       , key=[1, 2]				)
									lowerCamelCase      ,   lowerCamelCase			      =					writer.finalize()



@pytest.mark.parametrize("""writer_batch_size"""       , [None, 2, 10]				)
def     a__ (				snake_case__				)						->					Optional[Any]:
			lowerCamelCase			      =					pa.BufferOutputStream()
			with ArrowWriter(
			    stream=snake_case__       , writer_batch_size=snake_case__       , hash_salt="""split_name"""       , check_duplicates=snake_case__       , ) as writer:
						with pytest.raises(snake_case__				):
									writer.write({"""col_1""": """foo""", """col_2""": 1}       , key=10				)
									writer.write({"""col_1""": """bar""", """col_2""": 2}       , key=10				)
									lowerCamelCase      ,   lowerCamelCase			      =					writer.finalize()



@pytest.mark.parametrize("""writer_batch_size"""       , [None, 2, 10]				)
def     a__ (				snake_case__				)						->					List[Any]:
			lowerCamelCase			      =					pa.BufferOutputStream()
			with ArrowWriter(
			    stream=snake_case__       , writer_batch_size=snake_case__       , hash_salt="""split_name"""       , check_duplicates=snake_case__       , ) as writer:
						writer.write({"""col_1""": """foo""", """col_2""": 1}       , key=1				)
						writer.write({"""col_1""": """bar""", """col_2""": 2}       , key=2				)
						lowerCamelCase      ,   lowerCamelCase			      =					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     a__ (				snake_case__       , snake_case__				)						->					Optional[Any]:
			lowerCamelCase			      =					pa.BufferOutputStream()
			lowerCamelCase			      =					pa.schema(snake_case__				) if fields else None
			with ArrowWriter(stream=snake_case__       , schema=snake_case__       , writer_batch_size=snake_case__				) as writer:
						writer.write_batch({"""col_1""": ["""foo""", """bar"""], """col_2""": [1, 2]}				)
						writer.write_batch({"""col_1""": [], """col_2""": []}				)
						lowerCamelCase      ,   lowerCamelCase			      =					writer.finalize()
			assert num_examples == 2
			assert num_bytes > 0
			if not fields:
						lowerCamelCase			      =					{"""col_1""": pa.string(), """col_2""": pa.intaa()}
			assert writer._schema == pa.schema(snake_case__       , 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     a__ (				snake_case__       , snake_case__				)						->					List[Any]:
			lowerCamelCase			      =					pa.BufferOutputStream()
			lowerCamelCase			      =					pa.schema(snake_case__				) if fields else None
			with ArrowWriter(stream=snake_case__       , schema=snake_case__       , writer_batch_size=snake_case__				) as writer:
						writer.write_table(pa.Table.from_pydict({"""col_1""": ["""foo""", """bar"""], """col_2""": [1, 2]}				)				)
						lowerCamelCase      ,   lowerCamelCase			      =					writer.finalize()
			assert num_examples == 2
			assert num_bytes > 0
			if not fields:
						lowerCamelCase			      =					{"""col_1""": pa.string(), """col_2""": pa.intaa()}
			assert writer._schema == pa.schema(snake_case__       , 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     a__ (				snake_case__       , snake_case__				)						->					Union[str, Any]:
			lowerCamelCase			      =					pa.BufferOutputStream()
			lowerCamelCase			      =					pa.schema(snake_case__				) if fields else None
			with ArrowWriter(stream=snake_case__       , schema=snake_case__       , writer_batch_size=snake_case__				) 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]}				)				)
						lowerCamelCase      ,   lowerCamelCase			      =					writer.finalize()
			assert num_examples == 2
			assert num_bytes > 0
			if not fields:
						lowerCamelCase			      =					{"""col_1""": pa.string(), """col_2""": pa.intaa()}
			assert writer._schema == pa.schema(snake_case__       , metadata=writer._schema.metadata				)
			_check_output(output.getvalue()       , expected_num_chunks=num_examples if writer_batch_size == 1 else 1				)



def     a__ (				)						->					List[Any]:
			with tempfile.TemporaryDirectory() as tmp_dir:
						lowerCamelCase			      =					{"""col_1""": pa.string(), """col_2""": pa.intaa()}
						lowerCamelCase			      =					os.path.join(snake_case__       , """test.arrow"""				)
						with ArrowWriter(path=snake_case__       , schema=pa.schema(snake_case__				)				) as writer:
									writer.write_batch({"""col_1""": ["""foo""", """bar"""], """col_2""": [1, 2]}				)
									lowerCamelCase      ,   lowerCamelCase			      =					writer.finalize()
						assert num_examples == 2
						assert num_bytes > 0
						assert writer._schema == pa.schema(snake_case__       , metadata=writer._schema.metadata				)
						_check_output(snake_case__       , 1				)



def     a__ (				snake_case__				)						->					Tuple:
			if pa.types.is_list(snake_case__				):
						return get_base_dtype(arr_type.value_type				)
			else:
						return arr_type



def     a__ (				snake_case__       , snake_case__				)						->					int:
			if isinstance(lst[0]       , snake_case__				):
						change_first_primitive_element_in_list(lst[0]       , snake_case__				)
			else:
						lowerCamelCase			      =					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     a__ (				snake_case__       , snake_case__       , snake_case__				)						->					Dict:
			lowerCamelCase			      =					pa.array(TypedSequence(snake_case__       , optimized_int_type=snake_case__				)				)
			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     a__ (				snake_case__       , snake_case__       , snake_case__				)						->					str:
			# in range
			lowerCamelCase			      =					pa.array(OptimizedTypedSequence(snake_case__       , col=snake_case__				)				)
			assert get_base_dtype(arr.type				) == expected_dtype

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



@pytest.mark.parametrize("""raise_exception"""       , [False, True]				)
def     a__ (				snake_case__       , snake_case__				)						->					List[Any]:
			lowerCamelCase			      =					str(tmp_path / """dataset-train.arrow"""				)
			try:
						with ArrowWriter(path=snake_case__				) as writer:
									if raise_exception:
												raise pa.lib.ArrowInvalid()
									else:
												writer.stream.close()
			except pa.lib.ArrowInvalid:
						pass
			finally:
						assert writer.stream.closed



def     a__ (				snake_case__				)						->					str:
			lowerCamelCase			      =					"""mock://dataset-train.arrow"""
			with ArrowWriter(path=snake_case__       , storage_options=mockfs.storage_options				) as writer:
						assert isinstance(writer._fs       , type(snake_case__				)				)
						assert writer._fs.storage_options == mockfs.storage_options
						writer.write({"""col_1""": """foo""", """col_2""": 1}				)
						writer.write({"""col_1""": """bar""", """col_2""": 2}				)
						lowerCamelCase      ,   lowerCamelCase			      =					writer.finalize()
			assert num_examples == 2
			assert num_bytes > 0
			assert mockfs.exists(snake_case__				)



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



@require_pil
@pytest.mark.parametrize("""embed_local_files"""       , [False, True]				)
def     a__ (				snake_case__       , snake_case__				)						->					Any:
			import PIL.Image

			lowerCamelCase			      =					str(tmp_path / """test_image_rgb.jpg"""				)
			PIL.Image.fromarray(np.zeros((5, 5)       , dtype=np.uinta				)				).save(snake_case__       , format="""png"""				)
			lowerCamelCase			      =					pa.BufferOutputStream()
			with ParquetWriter(
			    stream=snake_case__       , features=Features({"""image""": Image()}				)       , embed_local_files=snake_case__				) as writer:
						writer.write({"""image""": image_path}				)
						writer.finalize()
			lowerCamelCase			      =					pa.BufferReader(output.getvalue()				)
			lowerCamelCase			      =					pq.read_table(snake_case__				)
			lowerCamelCase			      =					pa_table.to_pydict()
			if embed_local_files:
						assert isinstance(out["""image"""][0]["""path"""]       , snake_case__				)
						with open(snake_case__       , """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     a__ (				)						->					Dict:
			lowerCamelCase			      =					pa.schema([pa.field("""col_1"""       , pa.string()       , nullable=snake_case__				)]				)
			lowerCamelCase			      =					pa.BufferOutputStream()
			with ArrowWriter(stream=snake_case__				) as writer:
						writer._build_writer(inferred_schema=snake_case__				)
						assert writer._schema == pa.schema([pa.field("""col_1"""       , pa.string()				)]				)









"""simple docstring"""




import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
					from .tokenization_xlnet import XLNetTokenizer
else:
					lowerCAmelCase							:			int     							=							None


lowerCAmelCase							:			Tuple     							=							logging.get_logger(__name__)

lowerCAmelCase							:			Tuple     							=							{"""vocab_file""": """spiece.model""", """tokenizer_file""": """tokenizer.json"""}

lowerCAmelCase							:			Union[str, Any]     							=							{
    """vocab_file""": {
        """xlnet-base-cased""": """https://huggingface.co/xlnet-base-cased/resolve/main/spiece.model""",
        """xlnet-large-cased""": """https://huggingface.co/xlnet-large-cased/resolve/main/spiece.model""",
    },
    """tokenizer_file""": {
        """xlnet-base-cased""": """https://huggingface.co/xlnet-base-cased/resolve/main/tokenizer.json""",
        """xlnet-large-cased""": """https://huggingface.co/xlnet-large-cased/resolve/main/tokenizer.json""",
    },
}

lowerCAmelCase							:			Optional[int]     							=							{
    """xlnet-base-cased""": None,
    """xlnet-large-cased""": None,
}

lowerCAmelCase							:			Union[str, Any]     							=							"""▁"""

# Segments (not really needed)
lowerCAmelCase							:			str     							=							0
lowerCAmelCase							:			Optional[int]     							=							1
lowerCAmelCase							:			Tuple     							=							2
lowerCAmelCase							:			Optional[Any]     							=							3
lowerCAmelCase							:			List[Any]     							=							4






class     __magic_name__							(       UpperCAmelCase__				):






				'''simple docstring'''
				__UpperCamelCase			  =						VOCAB_FILES_NAMES
				__UpperCamelCase			  =						PRETRAINED_VOCAB_FILES_MAP
				__UpperCamelCase			  =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				__UpperCamelCase			  =						"left"
				__UpperCamelCase			  =						XLNetTokenizer





				def __init__(       self		, _a=None		, _a=None		, _a=False		, _a=True		, _a=False		, _a="<s>"		, _a="</s>"		, _a="<unk>"		, _a="<sep>"		, _a="<pad>"		, _a="<cls>"		, _a="<mask>"		, _a=["<eop>", "<eod>"]		, **_a		, ):





							"""simple docstring"""
							# Mask token behave like a normal word, i.e. include the space before it
							lowerCamelCase			      =					AddedToken(_a		, lstrip=_a		, rstrip=_a ) if isinstance(_a		, _a ) else mask_token

							super().__init__(
							    vocab_file=_a		, tokenizer_file=_a		, do_lower_case=_a		, remove_space=_a		, keep_accents=_a		, bos_token=_a		, eos_token=_a		, unk_token=_a		, sep_token=_a		, pad_token=_a		, cls_token=_a		, mask_token=_a		, additional_special_tokens=_a		, **_a		, )

							lowerCamelCase			      =					3
							lowerCamelCase			      =					do_lower_case
							lowerCamelCase			      =					remove_space
							lowerCamelCase			      =					keep_accents
							lowerCamelCase			      =					vocab_file
							lowerCamelCase			      =					False if not self.vocab_file else True





				def    _lowerCAmelCase				(       self		, _a		, _a = None ):





							"""simple docstring"""
							lowerCamelCase			      =					[self.sep_token_id]
							lowerCamelCase			      =					[self.cls_token_id]
							if token_ids_a is None:
										return token_ids_a + sep + cls
							return token_ids_a + sep + token_ids_a + sep + cls





				def    _lowerCAmelCase				(       self		, _a		, _a = None ):





							"""simple docstring"""
							lowerCamelCase			      =					[self.sep_token_id]
							lowerCamelCase			      =					[2]

							if token_ids_a is None:
										return len(token_ids_a + sep ) * [0] + cls_segment_id
							return len(token_ids_a + sep ) * [0] + len(token_ids_a + sep ) * [1] + cls_segment_id





				def    _lowerCAmelCase				(       self		, _a		, _a = None ):





							"""simple docstring"""
							if not self.can_save_slow_tokenizer:
										raise ValueError(
										    """Your fast tokenizer does not have the necessary information to save the vocabulary for a slow """
										    """tokenizer.""" )

							if not os.path.isdir(_a ):
										logger.error(f'Vocabulary path ({save_directory}) should be a directory' )
										return
							lowerCamelCase			      =					os.path.join(
							    _a		, (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""] )

							if os.path.abspath(self.vocab_file ) != os.path.abspath(_a ):
										copyfile(self.vocab_file		, _a )

							return (out_vocab_file,)



