




import os
import unittest

from transformers import BertTokenizerFast
from transformers.models.bert.tokenization_bert import (
    VOCAB_FILES_NAMES,
    BasicTokenizer,
    BertTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english


@require_tokenizers
class    SCREAMING_SNAKE_CASE_				(       _UpperCamelCase	,  unittest.TestCase   ):



	"""simple docstring"""


	__magic_name__   :       List[Any]      	=		BertTokenizer
	__magic_name__   :       int      	=		BertTokenizerFast
	__magic_name__   :       Dict      	=		True
	__magic_name__   :       int      	=		True
	__magic_name__   :       List[Any]      	=		filter_non_english






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







						"""simple docstring"""







						super().setUp()

						__UpperCamelCase					:	Union[str, Any]             =      [
						    """[UNK]""",
						    """[CLS]""",
						    """[SEP]""",
						    """[PAD]""",
						    """[MASK]""",
						    """want""",
						    """##want""",
						    """##ed""",
						    """wa""",
						    """un""",
						    """runn""",
						    """##ing""",
						    """,""",
						    """low""",
						    """lowest""",
						]
						__UpperCamelCase					:	Union[str, Any]             =      os.path.join(self.tmpdirname					,     VOCAB_FILES_NAMES["""vocab_file"""]	)
						with open(self.vocab_file					,     """w"""					,     encoding="""utf-8"""	) as vocab_writer:
											vocab_writer.write("""""".join([x + """\n""" for x in vocab_tokens]	)	)






	def 					lowerCamelCase__     (					self		:						Optional[int]					,     lowerCAmelCase		:						List[str]	)	->       Any:







						"""simple docstring"""







						__UpperCamelCase					:	Any             =      """UNwant\u00E9d,running"""
						__UpperCamelCase					:	Dict             =      """unwanted, running"""
						return input_text, output_text






	def 					lowerCamelCase__     (					self		:						str	)	->       int:







						"""simple docstring"""







						__UpperCamelCase					:	Any             =      self.tokenizer_class(self.vocab_file	)

						__UpperCamelCase					:	Optional[Any]             =      tokenizer.tokenize("""UNwant\u00E9d,running"""	)
						self.assertListEqual(lowerCAmelCase					,     ["""un""", """##want""", """##ed""", """,""", """runn""", """##ing"""]	)
						self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCAmelCase	)					,     [9, 6, 7, 12, 10, 11]	)






	def 					lowerCamelCase__     (					self		:						str	)	->       Optional[int]:







						"""simple docstring"""







						if not self.test_rust_tokenizer:
											return

						__UpperCamelCase					:	Any             =      self.get_tokenizer()
						__UpperCamelCase					:	Tuple             =      self.get_rust_tokenizer()

						__UpperCamelCase					:	Any             =      """UNwant\u00E9d,running"""

						__UpperCamelCase					:	List[Any]             =      tokenizer.tokenize(lowerCAmelCase	)
						__UpperCamelCase					:	Dict             =      rust_tokenizer.tokenize(lowerCAmelCase	)
						self.assertListEqual(lowerCAmelCase					,     lowerCAmelCase	)

						__UpperCamelCase					:	Dict             =      tokenizer.encode(lowerCAmelCase					,     add_special_tokens=lowerCAmelCase	)
						__UpperCamelCase					:	List[str]             =      rust_tokenizer.encode(lowerCAmelCase					,     add_special_tokens=lowerCAmelCase	)
						self.assertListEqual(lowerCAmelCase					,     lowerCAmelCase	)

						__UpperCamelCase					:	List[str]             =      self.get_rust_tokenizer()
						__UpperCamelCase					:	int             =      tokenizer.encode(lowerCAmelCase	)
						__UpperCamelCase					:	int             =      rust_tokenizer.encode(lowerCAmelCase	)
						self.assertListEqual(lowerCAmelCase					,     lowerCAmelCase	)

						# With lower casing
						__UpperCamelCase					:	List[Any]             =      self.get_tokenizer(do_lower_case=lowerCAmelCase	)
						__UpperCamelCase					:	Tuple             =      self.get_rust_tokenizer(do_lower_case=lowerCAmelCase	)

						__UpperCamelCase					:	Dict             =      """UNwant\u00E9d,running"""

						__UpperCamelCase					:	int             =      tokenizer.tokenize(lowerCAmelCase	)
						__UpperCamelCase					:	Optional[int]             =      rust_tokenizer.tokenize(lowerCAmelCase	)
						self.assertListEqual(lowerCAmelCase					,     lowerCAmelCase	)

						__UpperCamelCase					:	Any             =      tokenizer.encode(lowerCAmelCase					,     add_special_tokens=lowerCAmelCase	)
						__UpperCamelCase					:	Tuple             =      rust_tokenizer.encode(lowerCAmelCase					,     add_special_tokens=lowerCAmelCase	)
						self.assertListEqual(lowerCAmelCase					,     lowerCAmelCase	)

						__UpperCamelCase					:	List[str]             =      self.get_rust_tokenizer()
						__UpperCamelCase					:	List[Any]             =      tokenizer.encode(lowerCAmelCase	)
						__UpperCamelCase					:	str             =      rust_tokenizer.encode(lowerCAmelCase	)
						self.assertListEqual(lowerCAmelCase					,     lowerCAmelCase	)






	def 					lowerCamelCase__     (					self		:						str	)	->       Any:







						"""simple docstring"""







						__UpperCamelCase					:	str             =      BasicTokenizer()

						self.assertListEqual(tokenizer.tokenize("""ah\u535A\u63A8zz"""	)					,     ["""ah""", """\u535A""", """\u63A8""", """zz"""]	)






	def 					lowerCamelCase__     (					self		:						Tuple	)	->       Union[str, Any]:







						"""simple docstring"""







						__UpperCamelCase					:	Any             =      BasicTokenizer(do_lower_case=lowerCAmelCase	)

						self.assertListEqual(
						    tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU?  """	)					,     ["""hello""", """!""", """how""", """are""", """you""", """?"""]	)
						self.assertListEqual(tokenizer.tokenize("""H\u00E9llo"""	)					,     ["""hello"""]	)






	def 					lowerCamelCase__     (					self		:						str	)	->       str:







						"""simple docstring"""







						__UpperCamelCase					:	List[Any]             =      BasicTokenizer(do_lower_case=lowerCAmelCase					,     strip_accents=lowerCAmelCase	)

						self.assertListEqual(
						    tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """	)					,     ["""hällo""", """!""", """how""", """are""", """you""", """?"""]	)
						self.assertListEqual(tokenizer.tokenize("""H\u00E9llo"""	)					,     ["""h\u00E9llo"""]	)






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







						"""simple docstring"""







						__UpperCamelCase					:	Union[str, Any]             =      BasicTokenizer(do_lower_case=lowerCAmelCase					,     strip_accents=lowerCAmelCase	)

						self.assertListEqual(
						    tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """	)					,     ["""hallo""", """!""", """how""", """are""", """you""", """?"""]	)
						self.assertListEqual(tokenizer.tokenize("""H\u00E9llo"""	)					,     ["""hello"""]	)






	def 					lowerCamelCase__     (					self		:						List[Any]	)	->       Union[str, Any]:







						"""simple docstring"""







						__UpperCamelCase					:	Union[str, Any]             =      BasicTokenizer(do_lower_case=lowerCAmelCase	)

						self.assertListEqual(
						    tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """	)					,     ["""hallo""", """!""", """how""", """are""", """you""", """?"""]	)
						self.assertListEqual(tokenizer.tokenize("""H\u00E9llo"""	)					,     ["""hello"""]	)






	def 					lowerCamelCase__     (					self		:						Optional[Any]	)	->       Tuple:







						"""simple docstring"""







						__UpperCamelCase					:	Optional[Any]             =      BasicTokenizer(do_lower_case=lowerCAmelCase	)

						self.assertListEqual(
						    tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU?  """	)					,     ["""HeLLo""", """!""", """how""", """Are""", """yoU""", """?"""]	)






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







						"""simple docstring"""







						__UpperCamelCase					:	Tuple             =      BasicTokenizer(do_lower_case=lowerCAmelCase					,     strip_accents=lowerCAmelCase	)

						self.assertListEqual(
						    tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """	)					,     ["""HäLLo""", """!""", """how""", """Are""", """yoU""", """?"""]	)






	def 					lowerCamelCase__     (					self		:						int	)	->       List[Any]:







						"""simple docstring"""







						__UpperCamelCase					:	Tuple             =      BasicTokenizer(do_lower_case=lowerCAmelCase					,     strip_accents=lowerCAmelCase	)

						self.assertListEqual(
						    tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """	)					,     ["""HaLLo""", """!""", """how""", """Are""", """yoU""", """?"""]	)






	def 					lowerCamelCase__     (					self		:						Optional[Any]	)	->       Tuple:







						"""simple docstring"""







						__UpperCamelCase					:	Optional[int]             =      BasicTokenizer(do_lower_case=lowerCAmelCase					,     never_split=["""[UNK]"""]	)

						self.assertListEqual(
						    tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU? [UNK]"""	)					,     ["""HeLLo""", """!""", """how""", """Are""", """yoU""", """?""", """[UNK]"""]	)






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







						"""simple docstring"""







						__UpperCamelCase					:	Optional[Any]             =      BasicTokenizer()
						__UpperCamelCase					:	Optional[Any]             =      """a\n'll !!to?'d of, can't."""
						__UpperCamelCase					:	int             =      ["""a""", """'""", """ll""", """!""", """!""", """to""", """?""", """'""", """d""", """of""", """,""", """can""", """'""", """t""", """."""]
						self.assertListEqual(tokenizer.tokenize(lowerCAmelCase	)					,     lowerCAmelCase	)






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







						"""simple docstring"""







						__UpperCamelCase					:	Optional[int]             =      ["""[UNK]""", """[CLS]""", """[SEP]""", """want""", """##want""", """##ed""", """wa""", """un""", """runn""", """##ing"""]

						__UpperCamelCase					:	Union[str, Any]             =      {}
						for i, token in enumerate(lowerCAmelCase	):
											__UpperCamelCase					:	Tuple             =      i
						__UpperCamelCase					:	str             =      WordpieceTokenizer(vocab=lowerCAmelCase					,     unk_token="""[UNK]"""	)

						self.assertListEqual(tokenizer.tokenize(""""""	)					,     []	)

						self.assertListEqual(tokenizer.tokenize("""unwanted running"""	)					,     ["""un""", """##want""", """##ed""", """runn""", """##ing"""]	)

						self.assertListEqual(tokenizer.tokenize("""unwantedX running"""	)					,     ["""[UNK]""", """runn""", """##ing"""]	)






	def 					lowerCamelCase__     (					self		:						Optional[Any]	)	->       List[Any]:







						"""simple docstring"""







						self.assertTrue(_is_whitespace(""" """	)	)
						self.assertTrue(_is_whitespace("""\t"""	)	)
						self.assertTrue(_is_whitespace("""\r"""	)	)
						self.assertTrue(_is_whitespace("""\n"""	)	)
						self.assertTrue(_is_whitespace("""\u00A0"""	)	)

						self.assertFalse(_is_whitespace("""A"""	)	)
						self.assertFalse(_is_whitespace("""-"""	)	)






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







						"""simple docstring"""







						self.assertTrue(_is_control("""\u0005"""	)	)

						self.assertFalse(_is_control("""A"""	)	)
						self.assertFalse(_is_control(""" """	)	)
						self.assertFalse(_is_control("""\t"""	)	)
						self.assertFalse(_is_control("""\r"""	)	)






	def 					lowerCamelCase__     (					self		:						Dict	)	->       Optional[Any]:







						"""simple docstring"""







						self.assertTrue(_is_punctuation("""-"""	)	)
						self.assertTrue(_is_punctuation("""$"""	)	)
						self.assertTrue(_is_punctuation("""`"""	)	)
						self.assertTrue(_is_punctuation("""."""	)	)

						self.assertFalse(_is_punctuation("""A"""	)	)
						self.assertFalse(_is_punctuation(""" """	)	)






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







						"""simple docstring"""







						__UpperCamelCase					:	Union[str, Any]             =      self.get_tokenizer()
						__UpperCamelCase					:	Union[str, Any]             =      self.get_rust_tokenizer()

						# Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
						self.assertListEqual([tokenizer.tokenize(lowerCAmelCase	) for t in ["""Test""", """\xad""", """test"""]]					,     [["""[UNK]"""], [], ["""[UNK]"""]]	)

						self.assertListEqual(
						    [rust_tokenizer.tokenize(lowerCAmelCase	) for t in ["""Test""", """\xad""", """test"""]]					,     [["""[UNK]"""], [], ["""[UNK]"""]]	)






	@slow
	def 					lowerCamelCase__     (					self		:						List[Any]	)	->       List[Any]:







						"""simple docstring"""







						__UpperCamelCase					:	Tuple             =      self.tokenizer_class.from_pretrained("""bert-base-uncased"""	)

						__UpperCamelCase					:	int             =      tokenizer.encode("""sequence builders"""					,     add_special_tokens=lowerCAmelCase	)
						__UpperCamelCase					:	Dict             =      tokenizer.encode("""multi-sequence build"""					,     add_special_tokens=lowerCAmelCase	)

						__UpperCamelCase					:	str             =      tokenizer.build_inputs_with_special_tokens(lowerCAmelCase	)
						__UpperCamelCase					:	List[Any]             =      tokenizer.build_inputs_with_special_tokens(lowerCAmelCase					,     lowerCAmelCase	)

						assert encoded_sentence == [101] + text + [102]
						assert encoded_pair == [101] + text + [102] + text_a + [102]






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







						"""simple docstring"""







						for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
											with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''	):
																__UpperCamelCase					:	str             =      self.rust_tokenizer_class.from_pretrained(lowerCAmelCase					,     **lowerCAmelCase	)

																__UpperCamelCase					:	List[str]             =      F'''A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'''
																__UpperCamelCase					:	str             =      tokenizer_r.encode_plus(
																    lowerCAmelCase					,     return_attention_mask=lowerCAmelCase					,     return_token_type_ids=lowerCAmelCase					,     return_offsets_mapping=lowerCAmelCase					,     add_special_tokens=lowerCAmelCase					,     )

																__UpperCamelCase					:	str             =      tokenizer_r.do_lower_case if hasattr(lowerCAmelCase					,     """do_lower_case"""	) else False
																__UpperCamelCase					:	Optional[Any]             =      (
																    [
																        ((0, 0), tokenizer_r.cls_token),
																        ((0, 1), """A"""),
																        ((1, 2), ""","""),
																        ((3, 5), """na"""),
																        ((5, 6), """##ï"""),
																        ((6, 8), """##ve"""),
																        ((9, 15), tokenizer_r.mask_token),
																        ((16, 21), """Allen"""),
																        ((21, 23), """##NL"""),
																        ((23, 24), """##P"""),
																        ((25, 33), """sentence"""),
																        ((33, 34), """."""),
																        ((0, 0), tokenizer_r.sep_token),
																    ]
																    if not do_lower_case
																    else [
																        ((0, 0), tokenizer_r.cls_token),
																        ((0, 1), """a"""),
																        ((1, 2), ""","""),
																        ((3, 8), """naive"""),
																        ((9, 15), tokenizer_r.mask_token),
																        ((16, 21), """allen"""),
																        ((21, 23), """##nl"""),
																        ((23, 24), """##p"""),
																        ((25, 33), """sentence"""),
																        ((33, 34), """."""),
																        ((0, 0), tokenizer_r.sep_token),
																    ]
																)

																self.assertEqual(
																    [e[1] for e in expected_results]					,     tokenizer_r.convert_ids_to_tokens(tokens["""input_ids"""]	)	)
																self.assertEqual([e[0] for e in expected_results]					,     tokens["""offset_mapping"""]	)






	def 					lowerCamelCase__     (					self		:						List[Any]	)	->       int:







						"""simple docstring"""







						__UpperCamelCase					:	int             =      ["""的""", """人""", """有"""]
						__UpperCamelCase					:	str             =      """""".join(lowerCAmelCase	)
						for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
											with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''	):
																__UpperCamelCase					:	Any             =      True
																__UpperCamelCase					:	Optional[int]             =      self.tokenizer_class.from_pretrained(lowerCAmelCase					,     **lowerCAmelCase	)
																__UpperCamelCase					:	List[str]             =      self.rust_tokenizer_class.from_pretrained(lowerCAmelCase					,     **lowerCAmelCase	)

																__UpperCamelCase					:	Optional[Any]             =      tokenizer_p.encode(lowerCAmelCase					,     add_special_tokens=lowerCAmelCase	)
																__UpperCamelCase					:	int             =      tokenizer_r.encode(lowerCAmelCase					,     add_special_tokens=lowerCAmelCase	)

																__UpperCamelCase					:	Optional[int]             =      tokenizer_r.convert_ids_to_tokens(lowerCAmelCase	)
																__UpperCamelCase					:	Union[str, Any]             =      tokenizer_p.convert_ids_to_tokens(lowerCAmelCase	)

																# it is expected that each Chinese character is not preceded by "##"
																self.assertListEqual(lowerCAmelCase					,     lowerCAmelCase	)
																self.assertListEqual(lowerCAmelCase					,     lowerCAmelCase	)

																__UpperCamelCase					:	List[Any]             =      False
																__UpperCamelCase					:	Tuple             =      self.rust_tokenizer_class.from_pretrained(lowerCAmelCase					,     **lowerCAmelCase	)
																__UpperCamelCase					:	Any             =      self.tokenizer_class.from_pretrained(lowerCAmelCase					,     **lowerCAmelCase	)

																__UpperCamelCase					:	List[str]             =      tokenizer_r.encode(lowerCAmelCase					,     add_special_tokens=lowerCAmelCase	)
																__UpperCamelCase					:	List[Any]             =      tokenizer_p.encode(lowerCAmelCase					,     add_special_tokens=lowerCAmelCase	)

																__UpperCamelCase					:	Any             =      tokenizer_r.convert_ids_to_tokens(lowerCAmelCase	)
																__UpperCamelCase					:	Tuple             =      tokenizer_p.convert_ids_to_tokens(lowerCAmelCase	)

																# it is expected that only the first Chinese character is not preceded by "##".
																__UpperCamelCase					:	Optional[int]             =      [
																    F'''##{token}''' if idx != 0 else token for idx, token in enumerate(lowerCAmelCase	)
																]
																self.assertListEqual(lowerCAmelCase					,     lowerCAmelCase	)
																self.assertListEqual(lowerCAmelCase					,     lowerCAmelCase	)












# flake8: noqa
# Lint as: python3

from typing import Dict, List, Optional, Type

from .. import config
from ..utils import logging
from .formatting import (
    ArrowFormatter,
    CustomFormatter,
    Formatter,
    PandasFormatter,
    PythonFormatter,
    TensorFormatter,
    format_table,
    query_table,
)
from .np_formatter import NumpyFormatter


a__		     =     logging.get_logger(__name__)

a__		     =     {}
a__		     =     {}
a__		     =     {}





def 				A__ (snake_case   :		type		,	snake_case   :		Optional[str]		,	snake_case   :		Optional[List[str]] = None		,	)     ->						str:
					__UpperCamelCase					:	int             =      aliases if aliases is not None else []
					if format_type in _FORMAT_TYPES:
										logger.warning(
										    F'''Overwriting format type \'{format_type}\' ({_FORMAT_TYPES[format_type].__name__} -> {formatter_cls.__name__})'''				)
					__UpperCamelCase					:	Optional[Any]             =      formatter_cls
					for alias in set(aliases + [format_type]				):
										if alias in _FORMAT_TYPES_ALIASES:
															logger.warning(
															    F'''Overwriting format type alias \'{alias}\' ({_FORMAT_TYPES_ALIASES[alias]} -> {format_type})'''				)
										__UpperCamelCase					:	Optional[int]             =      format_type





def 				A__ (snake_case   :		Exception		,	snake_case   :		Optional[str]		,	snake_case   :		Optional[List[str]] = None				)     ->						Tuple:
					__UpperCamelCase					:	List[Any]             =      aliases if aliases is not None else []
					for alias in set(aliases + [format_type]				):
										__UpperCamelCase					:	Optional[int]             =      unavailable_error


# Here we define all the available formatting functions that can be used by `Dataset.set_format`
_register_formatter(PythonFormatter, None, aliases=['''python'''])
_register_formatter(ArrowFormatter, '''arrow''', aliases=['''pa''', '''pyarrow'''])
_register_formatter(NumpyFormatter, '''numpy''', aliases=['''np'''])
_register_formatter(PandasFormatter, '''pandas''', aliases=['''pd'''])
_register_formatter(CustomFormatter, '''custom''')

if config.TORCH_AVAILABLE:
	from .torch_formatter import TorchFormatter

	_register_formatter(TorchFormatter, '''torch''', aliases=['''pt''', '''pytorch'''])
else:
	a__		     =     ValueError('''PyTorch needs to be installed to be able to return PyTorch tensors.''')
	_register_unavailable_formatter(_torch_error, '''torch''', aliases=['''pt''', '''pytorch'''])

if config.TF_AVAILABLE:
	from .tf_formatter import TFFormatter

	_register_formatter(TFFormatter, '''tensorflow''', aliases=['''tf'''])
else:
	a__		     =     ValueError('''Tensorflow needs to be installed to be able to return Tensorflow tensors.''')
	_register_unavailable_formatter(_tf_error, '''tensorflow''', aliases=['''tf'''])

if config.JAX_AVAILABLE:
	from .jax_formatter import JaxFormatter

	_register_formatter(JaxFormatter, '''jax''', aliases=[])
else:
	a__		     =     ValueError('''JAX needs to be installed to be able to return JAX arrays.''')
	_register_unavailable_formatter(_jax_error, '''jax''', aliases=[])





def 				A__ (snake_case   :		Optional[str]				)     ->						Optional[str]:
					if format_type in _FORMAT_TYPES_ALIASES:
										return _FORMAT_TYPES_ALIASES[format_type]
					else:
										return format_type







def 				A__ (snake_case   :		Optional[str]		,	**snake_case   :		List[str]				)     ->						Formatter:
					__UpperCamelCase					:	int             =      get_format_type_from_alias(snake_case				)
					if format_type in _FORMAT_TYPES:
										return _FORMAT_TYPES[format_type](**snake_case				)
					if format_type in _FORMAT_TYPES_ALIASES_UNAVAILABLE:
										raise _FORMAT_TYPES_ALIASES_UNAVAILABLE[format_type]
					else:
										raise ValueError(
										    F'''Return type should be None or selected in {list(type for type in _FORMAT_TYPES.keys() if type != None				)}, but got \'{format_type}\''''				)






