import os
import unittest

from transformers import RealmTokenizerFast
from transformers.models.bert.tokenization_bert import (
    VOCAB_FILES_NAMES,
    BasicTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.models.realm.tokenization_realm import RealmTokenizer
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english







@require_tokenizers
class     _lowercase					(    UpperCAmelCase__  ,							unittest.TestCase      ):


 '''simple docstring'''






 _SCREAMING_SNAKE_CASE					:	Tuple				     = RealmTokenizer
 _SCREAMING_SNAKE_CASE					:	List[Any]				     = RealmTokenizerFast
 _SCREAMING_SNAKE_CASE					:	Union[str, Any]				     = True
 _SCREAMING_SNAKE_CASE					:	Union[str, Any]				     = True
 _SCREAMING_SNAKE_CASE					:	Union[str, Any]				     = filter_non_english
 def a (				self       :     str							)  ->   Tuple:
  super().setUp()

  __lowerCAmelCase    							=						[
      """[UNK]""",
      """[CLS]""",
      """[SEP]""",
      """[PAD]""",
      """[MASK]""",
      """want""",
      """##want""",
      """##ed""",
      """wa""",
      """un""",
      """runn""",
      """##ing""",
      """,""",
      """low""",
      """lowest""",
  ]
  __lowerCAmelCase    							=						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 a (				self       :     Optional[Any]				,	SCREAMING_SNAKE_CASE__       :     Optional[Any]							)  ->   int:
  __lowerCAmelCase    							=						"""UNwant\u00E9d,running"""
  __lowerCAmelCase    							=						"""unwanted, running"""
  return input_text, output_text
 def a (				self       :     Tuple							)  ->   List[Any]:
  __lowerCAmelCase    							=						self.tokenizer_class(self.vocab_file							)

  __lowerCAmelCase    							=						tokenizer.tokenize("""UNwant\u00E9d,running"""							)
  self.assertListEqual(SCREAMING_SNAKE_CASE__				,	["""un""", """##want""", """##ed""", """,""", """runn""", """##ing"""]							)
  self.assertListEqual(tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE__							)				,	[9, 6, 7, 12, 10, 11]							)
 def a (				self       :     int							)  ->   Dict:
  if not self.test_rust_tokenizer:
   return

  __lowerCAmelCase    							=						self.get_tokenizer()
  __lowerCAmelCase    							=						self.get_rust_tokenizer()

  __lowerCAmelCase    							=						"""UNwant\u00E9d,running"""

  __lowerCAmelCase    							=						tokenizer.tokenize(SCREAMING_SNAKE_CASE__							)
  __lowerCAmelCase    							=						rust_tokenizer.tokenize(SCREAMING_SNAKE_CASE__							)
  self.assertListEqual(SCREAMING_SNAKE_CASE__				,	SCREAMING_SNAKE_CASE__							)

  __lowerCAmelCase    							=						tokenizer.encode(SCREAMING_SNAKE_CASE__				,	add_special_tokens=SCREAMING_SNAKE_CASE__							)
  __lowerCAmelCase    							=						rust_tokenizer.encode(SCREAMING_SNAKE_CASE__				,	add_special_tokens=SCREAMING_SNAKE_CASE__							)
  self.assertListEqual(SCREAMING_SNAKE_CASE__				,	SCREAMING_SNAKE_CASE__							)

  __lowerCAmelCase    							=						self.get_rust_tokenizer()
  __lowerCAmelCase    							=						tokenizer.encode(SCREAMING_SNAKE_CASE__							)
  __lowerCAmelCase    							=						rust_tokenizer.encode(SCREAMING_SNAKE_CASE__							)
  self.assertListEqual(SCREAMING_SNAKE_CASE__				,	SCREAMING_SNAKE_CASE__							)

  # With lower casing
  __lowerCAmelCase    							=						self.get_tokenizer(do_lower_case=SCREAMING_SNAKE_CASE__							)
  __lowerCAmelCase    							=						self.get_rust_tokenizer(do_lower_case=SCREAMING_SNAKE_CASE__							)

  __lowerCAmelCase    							=						"""UNwant\u00E9d,running"""

  __lowerCAmelCase    							=						tokenizer.tokenize(SCREAMING_SNAKE_CASE__							)
  __lowerCAmelCase    							=						rust_tokenizer.tokenize(SCREAMING_SNAKE_CASE__							)
  self.assertListEqual(SCREAMING_SNAKE_CASE__				,	SCREAMING_SNAKE_CASE__							)

  __lowerCAmelCase    							=						tokenizer.encode(SCREAMING_SNAKE_CASE__				,	add_special_tokens=SCREAMING_SNAKE_CASE__							)
  __lowerCAmelCase    							=						rust_tokenizer.encode(SCREAMING_SNAKE_CASE__				,	add_special_tokens=SCREAMING_SNAKE_CASE__							)
  self.assertListEqual(SCREAMING_SNAKE_CASE__				,	SCREAMING_SNAKE_CASE__							)

  __lowerCAmelCase    							=						self.get_rust_tokenizer()
  __lowerCAmelCase    							=						tokenizer.encode(SCREAMING_SNAKE_CASE__							)
  __lowerCAmelCase    							=						rust_tokenizer.encode(SCREAMING_SNAKE_CASE__							)
  self.assertListEqual(SCREAMING_SNAKE_CASE__				,	SCREAMING_SNAKE_CASE__							)
 def a (				self       :     Tuple							)  ->   Optional[Any]:
  __lowerCAmelCase    							=						BasicTokenizer()

  self.assertListEqual(tokenizer.tokenize("""ah\u535A\u63A8zz"""							)				,	["""ah""", """\u535A""", """\u63A8""", """zz"""]							)
 def a (				self       :     int							)  ->   str:
  __lowerCAmelCase    							=						BasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE__							)

  self.assertListEqual(
      tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU?  """							)				,	["""hello""", """!""", """how""", """are""", """you""", """?"""]							)
  self.assertListEqual(tokenizer.tokenize("""H\u00E9llo"""							)				,	["""hello"""]							)
 def a (				self       :     int							)  ->   List[str]:
  __lowerCAmelCase    							=						BasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE__				,	strip_accents=SCREAMING_SNAKE_CASE__							)

  self.assertListEqual(
      tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """							)				,	["""hällo""", """!""", """how""", """are""", """you""", """?"""]							)
  self.assertListEqual(tokenizer.tokenize("""H\u00E9llo"""							)				,	["""h\u00E9llo"""]							)
 def a (				self       :     Optional[Any]							)  ->   List[str]:
  __lowerCAmelCase    							=						BasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE__				,	strip_accents=SCREAMING_SNAKE_CASE__							)

  self.assertListEqual(
      tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """							)				,	["""hallo""", """!""", """how""", """are""", """you""", """?"""]							)
  self.assertListEqual(tokenizer.tokenize("""H\u00E9llo"""							)				,	["""hello"""]							)
 def a (				self       :     List[Any]							)  ->   int:
  __lowerCAmelCase    							=						BasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE__							)

  self.assertListEqual(
      tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """							)				,	["""hallo""", """!""", """how""", """are""", """you""", """?"""]							)
  self.assertListEqual(tokenizer.tokenize("""H\u00E9llo"""							)				,	["""hello"""]							)
 def a (				self       :     Dict							)  ->   Optional[Any]:
  __lowerCAmelCase    							=						BasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE__							)

  self.assertListEqual(
      tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU?  """							)				,	["""HeLLo""", """!""", """how""", """Are""", """yoU""", """?"""]							)
 def a (				self       :     Any							)  ->   Optional[Any]:
  __lowerCAmelCase    							=						BasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE__				,	strip_accents=SCREAMING_SNAKE_CASE__							)

  self.assertListEqual(
      tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """							)				,	["""HäLLo""", """!""", """how""", """Are""", """yoU""", """?"""]							)
 def a (				self       :     Dict							)  ->   Optional[Any]:
  __lowerCAmelCase    							=						BasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE__				,	strip_accents=SCREAMING_SNAKE_CASE__							)

  self.assertListEqual(
      tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """							)				,	["""HaLLo""", """!""", """how""", """Are""", """yoU""", """?"""]							)
 def a (				self       :     Optional[int]							)  ->   List[Any]:
  __lowerCAmelCase    							=						BasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE__				,	never_split=["""[UNK]"""]							)

  self.assertListEqual(
      tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU? [UNK]"""							)				,	["""HeLLo""", """!""", """how""", """Are""", """yoU""", """?""", """[UNK]"""]							)
 def a (				self       :     Optional[Any]							)  ->   Dict:
  __lowerCAmelCase    							=						["""[UNK]""", """[CLS]""", """[SEP]""", """want""", """##want""", """##ed""", """wa""", """un""", """runn""", """##ing"""]

  __lowerCAmelCase    							=						{}
  for i, token in enumerate(SCREAMING_SNAKE_CASE__							):
   __lowerCAmelCase    							=						i
  __lowerCAmelCase    							=						WordpieceTokenizer(vocab=SCREAMING_SNAKE_CASE__				,	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 a (				self       :     List[Any]							)  ->   Dict:
  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 a (				self       :     Optional[int]							)  ->   Any:
  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 a (				self       :     int							)  ->   Optional[int]:
  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 a (				self       :     List[str]							)  ->   List[str]:
  __lowerCAmelCase    							=						self.get_tokenizer()

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

  if self.test_rust_tokenizer:
   __lowerCAmelCase    							=						self.get_rust_tokenizer()
   self.assertListEqual(
       [rust_tokenizer.tokenize(SCREAMING_SNAKE_CASE__							) for t in ["""Test""", """\xad""", """test"""]]				,	[["""[UNK]"""], [], ["""[UNK]"""]]							)
 @slow
 def a (				self       :     Optional[Any]							)  ->   Union[str, Any]:
  __lowerCAmelCase    							=						self.tokenizer_class.from_pretrained("""bert-base-uncased"""							)

  __lowerCAmelCase    							=						tokenizer.encode("""sequence builders"""				,	add_special_tokens=SCREAMING_SNAKE_CASE__							)
  __lowerCAmelCase    							=						tokenizer.encode("""multi-sequence build"""				,	add_special_tokens=SCREAMING_SNAKE_CASE__							)

  __lowerCAmelCase    							=						tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE__							)
  __lowerCAmelCase    							=						tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE__				,	SCREAMING_SNAKE_CASE__							)

  assert encoded_sentence == [1_01] + text + [1_02]
  assert encoded_pair == [1_01] + text + [1_02] + text_a + [1_02]
 def a (				self       :     int							)  ->   str:
  for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
   with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""							):
    __lowerCAmelCase    							=						self.rust_tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE__				,	**SCREAMING_SNAKE_CASE__							)

    __lowerCAmelCase    							=						f"""A, naïve {tokenizer_r.mask_token} AllenNLP sentence."""
    __lowerCAmelCase    							=						tokenizer_r.encode_plus(
        SCREAMING_SNAKE_CASE__				,	return_attention_mask=SCREAMING_SNAKE_CASE__				,	return_token_type_ids=SCREAMING_SNAKE_CASE__				,	return_offsets_mapping=SCREAMING_SNAKE_CASE__				,	add_special_tokens=SCREAMING_SNAKE_CASE__				,	)

    __lowerCAmelCase    							=						tokenizer_r.do_lower_case if hasattr(SCREAMING_SNAKE_CASE__				,	"""do_lower_case"""							) else False
    __lowerCAmelCase    							=						(
        [
            ((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"""]							)





 @slow
 def a (				self       :     Optional[Any]							)  ->   List[str]:
  for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
   with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""							):
    __lowerCAmelCase    							=						self.rust_tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE__				,	**SCREAMING_SNAKE_CASE__							)
    __lowerCAmelCase    							=						self.tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE__				,	**SCREAMING_SNAKE_CASE__							)
    __lowerCAmelCase    							=						[["""Hello world!""", """Nice to meet you!"""], ["""The cute cat.""", """The adorable dog."""]]

    __lowerCAmelCase    							=						tokenizer_r.batch_encode_candidates(SCREAMING_SNAKE_CASE__				,	max_length=10				,	return_tensors="""np"""							)
    __lowerCAmelCase    							=						tokenizer_p.batch_encode_candidates(SCREAMING_SNAKE_CASE__				,	max_length=10				,	return_tensors="""np"""							)

    __lowerCAmelCase    							=						(2, 2, 10)

    self.assertEqual(encoded_sentence_r["""input_ids"""].shape				,	SCREAMING_SNAKE_CASE__							)
    self.assertEqual(encoded_sentence_r["""attention_mask"""].shape				,	SCREAMING_SNAKE_CASE__							)
    self.assertEqual(encoded_sentence_r["""token_type_ids"""].shape				,	SCREAMING_SNAKE_CASE__							)

    self.assertEqual(encoded_sentence_p["""input_ids"""].shape				,	SCREAMING_SNAKE_CASE__							)
    self.assertEqual(encoded_sentence_p["""attention_mask"""].shape				,	SCREAMING_SNAKE_CASE__							)
    self.assertEqual(encoded_sentence_p["""token_type_ids"""].shape				,	SCREAMING_SNAKE_CASE__							)







'''simple docstring'''

import argparse

from transformers import CanineConfig, CanineModel, CanineTokenizer, load_tf_weights_in_canine
from transformers.utils import logging


logging.set_verbosity_info()







def 					UpperCamelCase_						( snake_case_	:	List[str]						,		snake_case_	:	Optional[Any]				) ->					Tuple:






 '''simple docstring'''

 __lowerCAmelCase    							=						CanineConfig()
 __lowerCAmelCase    							=						CanineModel(snake_case_				)
 model.eval()

 print(f"""Building PyTorch model from configuration: {config}"""				)

 # Load weights from tf checkpoint
 load_tf_weights_in_canine(snake_case_						,		snake_case_						,		snake_case_				)

 # Save pytorch-model (weights and configuration)
 print(f"""Save PyTorch model to {pytorch_dump_path}"""				)
 model.save_pretrained(snake_case_				)

 # Save tokenizer files
 __lowerCAmelCase    							=						CanineTokenizer()
 print(f"""Save tokenizer files to {pytorch_dump_path}"""				)
 tokenizer.save_pretrained(snake_case_				)


if __name__ == "__main__":
 _A      :				int 				=    argparse.ArgumentParser()
 # Required parameters
 parser.add_argument(
     '''--tf_checkpoint_path''',
     default=None,
     type=str,
     required=True,
     help='''Path to the TensorFlow checkpoint. Should end with model.ckpt''',
 )
 parser.add_argument(
     '''--pytorch_dump_path''',
     default=None,
     type=str,
     required=True,
     help='''Path to a folder where the PyTorch model will be placed.''',
 )
 _A      :				Dict 				=    parser.parse_args()
 convert_tf_checkpoint_to_pytorch(args.tf_checkpoint_path, args.pytorch_dump_path)






