






"""simple docstring"""





import argparse

from . import (
    BertConfig,
    BertGenerationConfig,
    BertGenerationDecoder,
    BertGenerationEncoder,
    load_tf_weights_in_bert_generation,
    logging,
)


logging.set_verbosity_info()






def     A(  snake_case_						,       snake_case_						,       snake_case_						,       snake_case_						,       snake_case_		):
       """simple docstring"""





       lowercase__:    List[str]        =      BertConfig.from_pretrained(
           "bert-large-cased"						,       vocab_size=snake_case_						,       max_position_embeddings=512						,       is_decoder=snake_case_						,       add_cross_attention=snake_case_						,       )
       lowercase__:    int        =      bert_config.to_dict()
       del bert_config_dict["type_vocab_size"]
       lowercase__:    Any        =      BertGenerationConfig(**snake_case_		)
       if is_encoder:
              lowercase__:    Optional[Any]        =      BertGenerationEncoder(snake_case_		)
       else:
              lowercase__:    List[str]        =      BertGenerationDecoder(snake_case_		)
       print(F"""Building PyTorch model from configuration: {config}"""		)

       # Load weights from tf checkpoint
       load_tf_weights_in_bert_generation(
           snake_case_						,       snake_case_						,       model_class="bert"						,       is_encoder_named_decoder=snake_case_						,       is_encoder=snake_case_						,       )

       # Save pytorch-model
       print(F"""Save PyTorch model and config to {pytorch_dump_path}"""		)
       model.save_pretrained(snake_case_		)


if __name__ == "__main__":
       UpperCamelCase			=      argparse.ArgumentParser()
       # Required parameters
       parser.add_argument(
           """--tf_hub_path""", default=None, type=str, required=True, help="""Path to the TensorFlow checkpoint path."""
       )
       parser.add_argument(
           """--pytorch_dump_path""", default=None, type=str, required=True, help="""Path to the output PyTorch model."""
       )
       parser.add_argument(
           """--is_encoder_named_decoder""",
           action="""store_true""",
           help="""If decoder has to be renamed to encoder in PyTorch model.""",
       )
       parser.add_argument("""--is_encoder""", action="""store_true""", help="""If model is an encoder.""")
       parser.add_argument("""--vocab_size""", default=5_03_58, type=int, help="""Vocab size of model""")
       UpperCamelCase			=      parser.parse_args()
       convert_tf_checkpoint_to_pytorch(
           args.tf_hub_path,
           args.pytorch_dump_path,
           args.is_encoder_named_decoder,
           args.vocab_size,
           is_encoder=args.is_encoder,
       )














"""simple docstring"""





import os
import unittest

from transformers import ElectraTokenizerFast
from transformers.models.electra.tokenization_electra import (
    VOCAB_FILES_NAMES,
    BasicTokenizer,
    ElectraTokenizer,
    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 		_a       (						lowercase_    ,					unittest.TestCase   ):





   '''simple docstring'''






   UpperCamelCase__      					=    ElectraTokenizer
   UpperCamelCase__      					=    ElectraTokenizerFast
   UpperCamelCase__      					=    True
   UpperCamelCase__      					=    True
   UpperCamelCase__      					=    filter_non_english





   def __lowercase    (   self)	-> str:




          '''simple docstring'''




          super().setUp()

          lowercase__:    List[str]        =      [
              "[UNK]",
              "[CLS]",
              "[SEP]",
              "[PAD]",
              "[MASK]",
              "want",
              "##want",
              "##ed",
              "wa",
              "un",
              "runn",
              "##ing",
              ",",
              "low",
              "lowest",
          ]
          lowercase__:    int        =      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 __lowercase    (   self			,				UpperCAmelCase_)	-> Dict:




          '''simple docstring'''




          lowercase__:    str        =      "UNwant\u00E9d,running"
          lowercase__:    List[Any]        =      "unwanted, running"
          return input_text, output_text





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




          '''simple docstring'''




          lowercase__:    str        =      self.tokenizer_class(self.vocab_file)

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





   def __lowercase    (   self)	-> Optional[int]:




          '''simple docstring'''




          if not self.test_rust_tokenizer:
                 return

          lowercase__:    Dict        =      self.get_tokenizer()
          lowercase__:    List[Any]        =      self.get_rust_tokenizer()

          lowercase__:    Optional[Any]        =      "UNwant\u00E9d,running"

          lowercase__:    Tuple        =      tokenizer.tokenize(UpperCAmelCase_)
          lowercase__:    Tuple        =      rust_tokenizer.tokenize(UpperCAmelCase_)
          self.assertListEqual(UpperCAmelCase_			,				UpperCAmelCase_)

          lowercase__:    List[str]        =      tokenizer.encode(UpperCAmelCase_			,				add_special_tokens=UpperCAmelCase_)
          lowercase__:    Optional[Any]        =      rust_tokenizer.encode(UpperCAmelCase_			,				add_special_tokens=UpperCAmelCase_)
          self.assertListEqual(UpperCAmelCase_			,				UpperCAmelCase_)

          lowercase__:    List[Any]        =      self.get_rust_tokenizer()
          lowercase__:    int        =      tokenizer.encode(UpperCAmelCase_)
          lowercase__:    str        =      rust_tokenizer.encode(UpperCAmelCase_)
          self.assertListEqual(UpperCAmelCase_			,				UpperCAmelCase_)

          # With lower casing
          lowercase__:    Optional[Any]        =      self.get_tokenizer(do_lower_case=UpperCAmelCase_)
          lowercase__:    List[Any]        =      self.get_rust_tokenizer(do_lower_case=UpperCAmelCase_)

          lowercase__:    str        =      "UNwant\u00E9d,running"

          lowercase__:    str        =      tokenizer.tokenize(UpperCAmelCase_)
          lowercase__:    Tuple        =      rust_tokenizer.tokenize(UpperCAmelCase_)
          self.assertListEqual(UpperCAmelCase_			,				UpperCAmelCase_)

          lowercase__:    List[Any]        =      tokenizer.encode(UpperCAmelCase_			,				add_special_tokens=UpperCAmelCase_)
          lowercase__:    List[str]        =      rust_tokenizer.encode(UpperCAmelCase_			,				add_special_tokens=UpperCAmelCase_)
          self.assertListEqual(UpperCAmelCase_			,				UpperCAmelCase_)

          lowercase__:    Any        =      self.get_rust_tokenizer()
          lowercase__:    Dict        =      tokenizer.encode(UpperCAmelCase_)
          lowercase__:    List[Any]        =      rust_tokenizer.encode(UpperCAmelCase_)
          self.assertListEqual(UpperCAmelCase_			,				UpperCAmelCase_)





   def __lowercase    (   self)	-> Dict:




          '''simple docstring'''




          lowercase__:    Optional[int]        =      BasicTokenizer()

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





   def __lowercase    (   self)	-> Optional[int]:




          '''simple docstring'''




          lowercase__:    str        =      BasicTokenizer(do_lower_case=UpperCAmelCase_)

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





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




          '''simple docstring'''




          lowercase__:    Any        =      BasicTokenizer(do_lower_case=UpperCAmelCase_			,				strip_accents=UpperCAmelCase_)

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





   def __lowercase    (   self)	-> int:




          '''simple docstring'''




          lowercase__:    Tuple        =      BasicTokenizer(do_lower_case=UpperCAmelCase_			,				strip_accents=UpperCAmelCase_)

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





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




          '''simple docstring'''




          lowercase__:    int        =      BasicTokenizer(do_lower_case=UpperCAmelCase_)

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





   def __lowercase    (   self)	-> Optional[Any]:




          '''simple docstring'''




          lowercase__:    Optional[int]        =      BasicTokenizer(do_lower_case=UpperCAmelCase_)

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





   def __lowercase    (   self)	-> Optional[Any]:




          '''simple docstring'''




          lowercase__:    Optional[Any]        =      BasicTokenizer(do_lower_case=UpperCAmelCase_			,				strip_accents=UpperCAmelCase_)

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





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




          '''simple docstring'''




          lowercase__:    Any        =      BasicTokenizer(do_lower_case=UpperCAmelCase_			,				strip_accents=UpperCAmelCase_)

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





   def __lowercase    (   self)	-> int:




          '''simple docstring'''




          lowercase__:    List[Any]        =      BasicTokenizer(do_lower_case=UpperCAmelCase_			,				never_split=["[UNK]"])

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





   def __lowercase    (   self)	-> int:




          '''simple docstring'''




          lowercase__:    List[str]        =      ["[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn", "##ing"]

          lowercase__:    Dict        =      {}
          for i, token in enumerate(UpperCAmelCase_):
                 lowercase__:    Optional[int]        =      i
          lowercase__:    str        =      WordpieceTokenizer(vocab=UpperCAmelCase_			,				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 __lowercase    (   self)	-> Dict:




          '''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 __lowercase    (   self)	-> List[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 __lowercase    (   self)	-> List[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 __lowercase    (   self)	-> Tuple:




          '''simple docstring'''




          lowercase__:    Optional[Any]        =      self.get_tokenizer()
          lowercase__:    str        =      self.get_rust_tokenizer()

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

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





   @slow
   def __lowercase    (   self)	-> int:




          '''simple docstring'''




          lowercase__:    Dict        =      self.tokenizer_class.from_pretrained("google/electra-base-discriminator")

          lowercase__:    Optional[int]        =      tokenizer.encode("sequence builders"			,				add_special_tokens=UpperCAmelCase_)
          lowercase__:    List[str]        =      tokenizer.encode("multi-sequence build"			,				add_special_tokens=UpperCAmelCase_)

          lowercase__:    Dict        =      tokenizer.build_inputs_with_special_tokens(UpperCAmelCase_)
          lowercase__:    Union[str, Any]        =      tokenizer.build_inputs_with_special_tokens(UpperCAmelCase_			,				UpperCAmelCase_)

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





   def __lowercase    (   self)	-> List[Any]:




          '''simple docstring'''




          for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                 with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})"""):
                        lowercase__:    Any        =      self.rust_tokenizer_class.from_pretrained(UpperCAmelCase_			,				**UpperCAmelCase_)

                        lowercase__:    int        =      F"""A, naïve {tokenizer_r.mask_token} AllenNLP sentence."""
                        lowercase__:    Tuple        =      tokenizer_r.encode_plus(
                            UpperCAmelCase_			,				return_attention_mask=UpperCAmelCase_			,				return_token_type_ids=UpperCAmelCase_			,				return_offsets_mapping=UpperCAmelCase_			,				add_special_tokens=UpperCAmelCase_			,				)

                        lowercase__:    str        =      tokenizer_r.do_lower_case if hasattr(UpperCAmelCase_			,				"do_lower_case") else False
                        lowercase__:    List[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 __lowercase    (   self)	-> List[Any]:




          '''simple docstring'''




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

                        lowercase__:    str        =      tokenizer_p.encode(UpperCAmelCase_			,				add_special_tokens=UpperCAmelCase_)
                        lowercase__:    Optional[int]        =      tokenizer_r.encode(UpperCAmelCase_			,				add_special_tokens=UpperCAmelCase_)

                        lowercase__:    Union[str, Any]        =      tokenizer_r.convert_ids_to_tokens(UpperCAmelCase_)
                        lowercase__:    List[str]        =      tokenizer_p.convert_ids_to_tokens(UpperCAmelCase_)

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

                        lowercase__:    Dict        =      False
                        lowercase__:    Optional[int]        =      self.rust_tokenizer_class.from_pretrained(UpperCAmelCase_			,				**UpperCAmelCase_)
                        lowercase__:    int        =      self.tokenizer_class.from_pretrained(UpperCAmelCase_			,				**UpperCAmelCase_)

                        lowercase__:    str        =      tokenizer_r.encode(UpperCAmelCase_			,				add_special_tokens=UpperCAmelCase_)
                        lowercase__:    Tuple        =      tokenizer_p.encode(UpperCAmelCase_			,				add_special_tokens=UpperCAmelCase_)

                        lowercase__:    Union[str, Any]        =      tokenizer_r.convert_ids_to_tokens(UpperCAmelCase_)
                        lowercase__:    List[str]        =      tokenizer_p.convert_ids_to_tokens(UpperCAmelCase_)

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






