
import unittest

from transformers import DebertaVaTokenizer, DebertaVaTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


lowerCamelCase_  :	List[Any] 				=					get_tests_dir("""fixtures/spiece.model""")

@require_sentencepiece
@require_tokenizers
class     _UpperCamelCase			(   _A       ,    unittest.TestCase					):






			'''simple docstring'''

			__UpperCamelCase :  Any    =	DebertaVaTokenizer
			__UpperCamelCase :  Any    =	DebertaVaTokenizerFast
			__UpperCamelCase :  Optional[int]    =	True
			__UpperCamelCase :  Optional[Any]    =	True

			def  lowerCAmelCase__		(    self	:    Union[str, Any] ):
							super().setUp()

							# We have a SentencePiece fixture for testing
							UpperCamelCase_:							List[str]		=  DebertaVaTokenizer(snake_case_  ,		unk_token="""<unk>""" )
							tokenizer.save_pretrained(self.tmpdirname )

			def  lowerCAmelCase__		(    self	:    Dict  ,		snake_case_	:    Optional[int] ):
							UpperCamelCase_:							Tuple		=  """this is a test"""
							UpperCamelCase_:							Optional[Any]		=  """this is a test"""
							return input_text, output_text

			def  lowerCAmelCase__		(    self	:    List[str] ):
							UpperCamelCase_:							List[str]		=  """<pad>"""
							UpperCamelCase_:							List[Any]		=  0

							self.assertEqual(self.get_tokenizer()._convert_token_to_id(snake_case_ )  ,		snake_case_ )
							self.assertEqual(self.get_tokenizer()._convert_id_to_token(snake_case_ )  ,		snake_case_ )

			def  lowerCAmelCase__		(    self	:    Union[str, Any] ):
							UpperCamelCase_:							Dict		=  list(self.get_tokenizer().get_vocab().keys() )
							self.assertEqual(vocab_keys[0]  ,		"""<pad>""" )
							self.assertEqual(vocab_keys[1]  ,		"""<unk>""" )
							self.assertEqual(vocab_keys[-1]  ,		"""[PAD]""" )
							self.assertEqual(len(snake_case_ )  ,		3_0001 )

			def  lowerCAmelCase__		(    self	:    int ):
							self.assertEqual(self.get_tokenizer().vocab_size  ,		3_0000 )

			def  lowerCAmelCase__		(    self	:    Dict ):
							# fmt: off
							UpperCamelCase_:							Dict		=  """ \tHeLLo!how  \n Are yoU?  """
							UpperCamelCase_:							Any		=  ["""▁hello""", """!""", """how""", """▁are""", """▁you""", """?"""]
							# fmt: on

							UpperCamelCase_:							Any		=  DebertaVaTokenizer(snake_case_  ,		do_lower_case=snake_case_ )
							UpperCamelCase_:							Optional[Any]		=  tokenizer.convert_ids_to_tokens(tokenizer.encode(snake_case_  ,		add_special_tokens=snake_case_ ) )

							self.assertListEqual(snake_case_  ,		snake_case_ )

							UpperCamelCase_:							Tuple		=  DebertaVaTokenizerFast(snake_case_  ,		do_lower_case=snake_case_ )
							UpperCamelCase_:							Optional[int]		=  rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(snake_case_  ,		add_special_tokens=snake_case_ ) )

							self.assertListEqual(snake_case_  ,		snake_case_ )

			@unittest.skip("""There is an inconsistency between slow and fast tokenizer due to a bug in the fast one.""" )
			def  lowerCAmelCase__		(    self	:    str ):
							pass

			@unittest.skip("""There is an inconsistency between slow and fast tokenizer due to a bug in the fast one.""" )
			def  lowerCAmelCase__		(    self	:    Optional[int] ):
							pass

			def  lowerCAmelCase__		(    self	:    Optional[int] ):
							# fmt: off
							UpperCamelCase_:							Optional[Any]		=  """I was born in 92000, and this is falsé."""
							UpperCamelCase_:							List[str]		=  ["""▁""", """<unk>""", """▁was""", """▁born""", """▁in""", """▁9""", """2000""", """▁""", """,""", """▁and""", """▁this""", """▁is""", """▁fal""", """s""", """<unk>""", """▁""", """.""", ]
							# fmt: on

							UpperCamelCase_:							List[str]		=  DebertaVaTokenizer(snake_case_  ,		split_by_punct=snake_case_ )
							UpperCamelCase_:							Tuple		=  tokenizer.convert_ids_to_tokens(tokenizer.encode(snake_case_  ,		add_special_tokens=snake_case_ ) )

							self.assertListEqual(snake_case_  ,		snake_case_ )

							UpperCamelCase_:							Optional[int]		=  DebertaVaTokenizerFast(snake_case_  ,		split_by_punct=snake_case_ )
							UpperCamelCase_:							Optional[int]		=  rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(snake_case_  ,		add_special_tokens=snake_case_ ) )

							self.assertListEqual(snake_case_  ,		snake_case_ )

			def  lowerCAmelCase__		(    self	:    List[Any] ):
							# fmt: off
							UpperCamelCase_:							List[str]		=  """I was born in 92000, and this is falsé."""
							UpperCamelCase_:							Dict		=  ["""▁i""", """▁was""", """▁born""", """▁in""", """▁9""", """2000""", """▁""", """,""", """▁and""", """▁this""", """▁is""", """▁fal""", """s""", """<unk>""", """▁""", """.""", ]
							# fmt: on

							UpperCamelCase_:							List[Any]		=  DebertaVaTokenizer(snake_case_  ,		do_lower_case=snake_case_  ,		split_by_punct=snake_case_ )
							UpperCamelCase_:							int		=  tokenizer.convert_ids_to_tokens(tokenizer.encode(snake_case_  ,		add_special_tokens=snake_case_ ) )
							self.assertListEqual(snake_case_  ,		snake_case_ )

							UpperCamelCase_:							Union[str, Any]		=  DebertaVaTokenizerFast(snake_case_  ,		do_lower_case=snake_case_  ,		split_by_punct=snake_case_ )
							UpperCamelCase_:							str		=  rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(snake_case_  ,		add_special_tokens=snake_case_ ) )
							self.assertListEqual(snake_case_  ,		snake_case_ )

			def  lowerCAmelCase__		(    self	:    Optional[Any] ):
							# fmt: off
							UpperCamelCase_:							int		=  """I was born in 92000, and this is falsé."""
							UpperCamelCase_:							List[str]		=  ["""▁i""", """▁was""", """▁born""", """▁in""", """▁9""", """2000""", """,""", """▁and""", """▁this""", """▁is""", """▁fal""", """s""", """<unk>""", """.""", ]
							# fmt: on

							UpperCamelCase_:							Optional[Any]		=  DebertaVaTokenizer(snake_case_  ,		do_lower_case=snake_case_  ,		split_by_punct=snake_case_ )
							UpperCamelCase_:							Optional[Any]		=  tokenizer.convert_ids_to_tokens(tokenizer.encode(snake_case_  ,		add_special_tokens=snake_case_ ) )

							self.assertListEqual(snake_case_  ,		snake_case_ )

							UpperCamelCase_:							List[str]		=  DebertaVaTokenizerFast(snake_case_  ,		do_lower_case=snake_case_  ,		split_by_punct=snake_case_ )
							UpperCamelCase_:							List[str]		=  rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(snake_case_  ,		add_special_tokens=snake_case_ ) )

							self.assertListEqual(snake_case_  ,		snake_case_ )

			def  lowerCAmelCase__		(    self	:    int ):
							# fmt: off
							UpperCamelCase_:							List[str]		=  """I was born in 92000, and this is falsé."""
							UpperCamelCase_:							Optional[Any]		=  ["""▁""", """<unk>""", """▁was""", """▁born""", """▁in""", """▁9""", """2000""", """▁""", """,""", """▁and""", """▁this""", """▁is""", """▁fal""", """s""", """<unk>""", """▁""", """.""", ]
							# fmt: on

							UpperCamelCase_:							Union[str, Any]		=  DebertaVaTokenizer(snake_case_  ,		do_lower_case=snake_case_  ,		split_by_punct=snake_case_ )
							UpperCamelCase_:							str		=  tokenizer.convert_ids_to_tokens(tokenizer.encode(snake_case_  ,		add_special_tokens=snake_case_ ) )

							self.assertListEqual(snake_case_  ,		snake_case_ )

							UpperCamelCase_:							str		=  DebertaVaTokenizerFast(snake_case_  ,		do_lower_case=snake_case_  ,		split_by_punct=snake_case_ )
							UpperCamelCase_:							List[Any]		=  rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(snake_case_  ,		add_special_tokens=snake_case_ ) )

							self.assertListEqual(snake_case_  ,		snake_case_ )

			def  lowerCAmelCase__		(    self	:    Any ):
							# fmt: off
							UpperCamelCase_:							Union[str, Any]		=  """ \tHeLLo!how  \n Are yoU?  """
							UpperCamelCase_:							List[Any]		=  ["""▁""", """<unk>""", """e""", """<unk>""", """o""", """!""", """how""", """▁""", """<unk>""", """re""", """▁yo""", """<unk>""", """?"""]
							# fmt: on

							UpperCamelCase_:							Union[str, Any]		=  DebertaVaTokenizer(snake_case_  ,		do_lower_case=snake_case_  ,		split_by_punct=snake_case_ )
							UpperCamelCase_:							str		=  tokenizer.convert_ids_to_tokens(tokenizer.encode(snake_case_  ,		add_special_tokens=snake_case_ ) )

							self.assertListEqual(snake_case_  ,		snake_case_ )

							UpperCamelCase_:							List[str]		=  DebertaVaTokenizerFast(snake_case_  ,		do_lower_case=snake_case_  ,		split_by_punct=snake_case_ )
							UpperCamelCase_:							Optional[Any]		=  rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(snake_case_  ,		add_special_tokens=snake_case_ ) )

							self.assertListEqual(snake_case_  ,		snake_case_ )

			def  lowerCAmelCase__		(    self	:    Union[str, Any] ):
							UpperCamelCase_:							Optional[int]		=  self.get_tokenizer()
							UpperCamelCase_:							Tuple		=  self.get_rust_tokenizer()

							UpperCamelCase_:							List[Any]		=  """I was born in 92000, and this is falsé."""

							UpperCamelCase_:							Any		=  tokenizer.convert_ids_to_tokens(tokenizer.encode(snake_case_  ,		add_special_tokens=snake_case_ ) )
							UpperCamelCase_:							List[str]		=  rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(snake_case_  ,		add_special_tokens=snake_case_ ) )
							self.assertListEqual(snake_case_  ,		snake_case_ )

							UpperCamelCase_:							Any		=  tokenizer.encode(snake_case_  ,		add_special_tokens=snake_case_ )
							UpperCamelCase_:							str		=  rust_tokenizer.encode(snake_case_  ,		add_special_tokens=snake_case_ )
							self.assertListEqual(snake_case_  ,		snake_case_ )

							UpperCamelCase_:							Any		=  self.get_rust_tokenizer()
							UpperCamelCase_:							Optional[int]		=  tokenizer.encode(snake_case_ )
							UpperCamelCase_:							Dict		=  rust_tokenizer.encode(snake_case_ )
							self.assertListEqual(snake_case_  ,		snake_case_ )

			def  lowerCAmelCase__		(    self	:    Dict ):
							UpperCamelCase_:							Any		=  """This is a test"""
							UpperCamelCase_:							Union[str, Any]		=  [13, 1, 4398, 25, 21, 1289]
							UpperCamelCase_:							Union[str, Any]		=  ["""▁""", """T""", """his""", """▁is""", """▁a""", """▁test"""]
							UpperCamelCase_:							List[Any]		=  ["""▁""", """<unk>""", """his""", """▁is""", """▁a""", """▁test"""]

							UpperCamelCase_:							Dict		=  DebertaVaTokenizer(snake_case_  ,		keep_accents=snake_case_ )
							UpperCamelCase_:							Union[str, Any]		=  DebertaVaTokenizerFast(snake_case_  ,		keep_accents=snake_case_ )

							UpperCamelCase_:							str		=  tokenizer.encode(snake_case_  ,		add_special_tokens=snake_case_ )
							self.assertListEqual(snake_case_  ,		snake_case_ )
							UpperCamelCase_:							Dict		=  tokenizer.tokenize(snake_case_ )
							self.assertListEqual(snake_case_  ,		snake_case_ )
							UpperCamelCase_:							List[str]		=  tokenizer.convert_ids_to_tokens(snake_case_ )
							self.assertListEqual(snake_case_  ,		snake_case_ )

							UpperCamelCase_:							Dict		=  rust_tokenizer.encode(snake_case_  ,		add_special_tokens=snake_case_ )
							self.assertListEqual(snake_case_  ,		snake_case_ )
							UpperCamelCase_:							Optional[int]		=  rust_tokenizer.tokenize(snake_case_ )
							self.assertListEqual(snake_case_  ,		snake_case_ )
							UpperCamelCase_:							Optional[Any]		=  rust_tokenizer.convert_ids_to_tokens(snake_case_ )
							self.assertListEqual(snake_case_  ,		snake_case_ )

							# fmt: off
							UpperCamelCase_:							int		=  """I was born in 92000, and this is falsé."""
							UpperCamelCase_:							Any		=  [13, 1, 23, 386, 19, 561, 3050, 15, 17, 48, 25, 8256, 18, 1, 9]
							UpperCamelCase_:							Any		=  ["""▁""", """I""", """▁was""", """▁born""", """▁in""", """▁9""", """2000""", """,""", """▁and""", """▁this""", """▁is""", """▁fal""", """s""", """é""", """.""", ]
							UpperCamelCase_:							Any		=  ["""▁""", """<unk>""", """▁was""", """▁born""", """▁in""", """▁9""", """2000""", """,""", """▁and""", """▁this""", """▁is""", """▁fal""", """s""", """<unk>""", """.""", ]
							# fmt: on

							UpperCamelCase_:							int		=  tokenizer.encode(snake_case_  ,		add_special_tokens=snake_case_ )
							self.assertListEqual(snake_case_  ,		snake_case_ )
							UpperCamelCase_:							Any		=  tokenizer.tokenize(snake_case_ )
							self.assertListEqual(snake_case_  ,		snake_case_ )
							UpperCamelCase_:							Optional[int]		=  tokenizer.convert_ids_to_tokens(snake_case_ )
							self.assertListEqual(snake_case_  ,		snake_case_ )

							UpperCamelCase_:							Any		=  rust_tokenizer.encode(snake_case_  ,		add_special_tokens=snake_case_ )
							self.assertListEqual(snake_case_  ,		snake_case_ )
							UpperCamelCase_:							Union[str, Any]		=  rust_tokenizer.tokenize(snake_case_ )
							self.assertListEqual(snake_case_  ,		snake_case_ )
							UpperCamelCase_:							List[Any]		=  rust_tokenizer.convert_ids_to_tokens(snake_case_ )
							self.assertListEqual(snake_case_  ,		snake_case_ )

			def  lowerCAmelCase__		(    self	:    str ):
							UpperCamelCase_:							List[str]		=  DebertaVaTokenizer(snake_case_ )

							UpperCamelCase_:							Optional[Any]		=  tokenizer.encode("""sequence builders""" )
							UpperCamelCase_:							Tuple		=  tokenizer.encode("""multi-sequence build""" )

							UpperCamelCase_:							Union[str, Any]		=  tokenizer.build_inputs_with_special_tokens(snake_case_ )
							UpperCamelCase_:							Optional[int]		=  tokenizer.build_inputs_with_special_tokens(snake_case_  ,		snake_case_ )

							self.assertEqual([tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]  ,		snake_case_ )
							self.assertEqual(
							    [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [tokenizer.sep_token_id]  ,		snake_case_  ,		)




			@slow
			def  lowerCAmelCase__		(    self	:    int ):
							# fmt: off
							UpperCamelCase_:							Optional[int]		=  {"""input_ids""": [[1, 3_9867, 36, 1_9390, 486, 27, 3_5052, 8_1436, 18, 6_0685, 1225, 7, 3_5052, 8_1436, 18, 9367, 1_6899, 18, 1_5937, 53, 594, 773, 18, 1_6287, 3_0465, 36, 1_5937, 6, 4_1139, 38, 3_6979, 6_0763, 191, 6, 3_4132, 99, 6, 5_0538, 390, 4_3230, 6, 3_4132, 2779, 2_0850, 14, 699, 1072, 1194, 36, 382, 1_0901, 53, 7, 699, 1072, 2084, 36, 2_0422, 630, 53, 19, 105, 3049, 1896, 1053, 1_6899, 1506, 11, 3_7978, 4243, 7, 1237, 3_1869, 200, 1_6566, 654, 6, 3_5052, 8_1436, 7, 5_5630, 1_3593, 4, 2], [1, 26, 1_5011, 13, 667, 8, 1053, 18, 2_3611, 1237, 7_2356, 1_2820, 34, 10_4134, 1209, 35, 1_3313, 6627, 21, 202, 347, 7, 164, 2399, 11, 46, 4485, 4, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 5, 1232, 2864, 1_5785, 1_4951, 105, 5, 8581, 1250, 4, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], """token_type_ids""": [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], """attention_mask""": [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
							# fmt: on

							self.tokenizer_integration_test_util(
							    expected_encoding=snake_case_  ,		model_name="""microsoft/deberta-v2-xlarge"""  ,		revision="""ad6e42c1532ddf3a15c39246b63f5559d558b670"""  ,		)








import json
import os
import tempfile

import datasets
from utils import generate_example_dataset, get_duration


lowerCamelCase_  :	Any 				=					5_00_00
lowerCamelCase_  :	Any 				=					50_00

lowerCamelCase_				,    lowerCamelCase_  :	Tuple 				=					os.path.split(__file__)
lowerCamelCase_  :	int 				=					os.path.join(RESULTS_BASEPATH, """results""", RESULTS_FILENAME.replace(""".py""", """.json"""))







@get_duration
def     A__   (  lowerCamelCase       ,      lowerCamelCase  )					->		Tuple:
				for i in range(lowerCamelCase  ):
								UpperCamelCase_:							Dict		=  dataset[i]







@get_duration
def     A__   (  lowerCamelCase       ,      lowerCamelCase       ,      lowerCamelCase  )					->		Tuple:
				for i in range(0       ,      len(lowerCamelCase  )       ,      lowerCamelCase  ):
								UpperCamelCase_:							List[Any]		=  dataset[i : i + batch_size]







@get_duration
def     A__   (  lowerCamelCase       ,      lowerCamelCase       ,      lowerCamelCase  )					->		Any:
				with dataset.formatted_as(type=lowerCamelCase  ):
								for i in range(lowerCamelCase  ):
												UpperCamelCase_:							List[str]		=  dataset[i]







@get_duration
def     A__   (  lowerCamelCase       ,      lowerCamelCase       ,      lowerCamelCase       ,      lowerCamelCase  )					->		Optional[int]:
				with dataset.formatted_as(type=lowerCamelCase  ):
								for i in range(0       ,      lowerCamelCase       ,      lowerCamelCase  ):
												UpperCamelCase_:							Union[str, Any]		=  dataset[i : i + batch_size]







def     A__   (  )					->		Tuple:
				UpperCamelCase_:							int		=  {"""num examples""": SPEED_TEST_N_EXAMPLES}
				UpperCamelCase_:							Union[str, Any]		=  [
				    (read, {"""length""": SMALL_TEST}),
				    (read, {"""length""": SPEED_TEST_N_EXAMPLES}),
				    (read_batch, {"""length""": SPEED_TEST_N_EXAMPLES, """batch_size""": 10}),
				    (read_batch, {"""length""": SPEED_TEST_N_EXAMPLES, """batch_size""": 1_00}),
				    (read_batch, {"""length""": SPEED_TEST_N_EXAMPLES, """batch_size""": 10_00}),
				    (read_formatted, {"""type""": """numpy""", """length""": SMALL_TEST}),
				    (read_formatted, {"""type""": """pandas""", """length""": SMALL_TEST}),
				    (read_formatted, {"""type""": """torch""", """length""": SMALL_TEST}),
				    (read_formatted, {"""type""": """tensorflow""", """length""": SMALL_TEST}),
				    (read_formatted_batch, {"""type""": """numpy""", """length""": SMALL_TEST, """batch_size""": 10}),
				    (read_formatted_batch, {"""type""": """numpy""", """length""": SMALL_TEST, """batch_size""": 10_00}),
				]

				UpperCamelCase_:							Tuple		=  [
				    (read, {"""length""": SMALL_TEST}),
				    (read, {"""length""": SPEED_TEST_N_EXAMPLES}),
				    (read_batch, {"""length""": SPEED_TEST_N_EXAMPLES, """batch_size""": 10}),
				    (read_batch, {"""length""": SPEED_TEST_N_EXAMPLES, """batch_size""": 1_00}),
				    (read_batch, {"""length""": SPEED_TEST_N_EXAMPLES, """batch_size""": 10_00}),
				    (read_formatted, {"""type""": """numpy""", """length""": SMALL_TEST}),
				    (read_formatted_batch, {"""type""": """numpy""", """length""": SMALL_TEST, """batch_size""": 10}),
				    (read_formatted_batch, {"""type""": """numpy""", """length""": SMALL_TEST, """batch_size""": 10_00}),
				]
				with tempfile.TemporaryDirectory() as tmp_dir:
								print("""generating dataset"""  )
								UpperCamelCase_:							int		=  datasets.Features(
								    {"""list""": datasets.Sequence(datasets.Value("""float32"""  )  ), """numbers""": datasets.Value("""float32"""  )}  )
								UpperCamelCase_:							Optional[int]		=  generate_example_dataset(
								    os.path.join(lowerCamelCase       ,      """dataset.arrow"""  )       ,      lowerCamelCase       ,      num_examples=lowerCamelCase       ,      seq_shapes={"""list""": (1_00,)}       ,      )
								print("""first set of iterations"""  )
								for func, kwargs in functions:
												print(func.__name__       ,      str(lowerCamelCase  )  )
												UpperCamelCase_:							List[Any]		=  func(lowerCamelCase       ,      **lowerCamelCase  )

								print("""shuffling dataset"""  )
								UpperCamelCase_:							Dict		=  dataset.shuffle()
								print("""Second set of iterations (after shuffling"""  )
								for func, kwargs in functions_shuffled:
												print("""shuffled """       ,      func.__name__       ,      str(lowerCamelCase  )  )
												UpperCamelCase_:							List[Any]		=  func(
												    lowerCamelCase       ,      **lowerCamelCase  )

				with open(lowerCamelCase       ,      """wb"""  ) as f:
								f.write(json.dumps(lowerCamelCase  ).encode("""utf-8"""  )  )


if __name__ == "__main__":  # useful to run the profiler
							benchmark_iterating()






