





"""simple docstring"""





import json
import os
import unittest

from transformers.models.roc_bert.tokenization_roc_bert import (
    VOCAB_FILES_NAMES,
    RoCBertBasicTokenizer,
    RoCBertTokenizer,
    RoCBertWordpieceTokenizer,
    _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 		lowercase					(					_UpperCAmelCase     ,  unittest.TestCase					):
      _SCREAMING_SNAKE_CASE					=      RoCBertTokenizer
      _SCREAMING_SNAKE_CASE					=      None
      _SCREAMING_SNAKE_CASE					=      False
      _SCREAMING_SNAKE_CASE					=      True
      _SCREAMING_SNAKE_CASE					=      filter_non_english





      def     _snake_case			(       self )		->     Tuple:
            super().setUp()

            lowerCAmelCase  						=       ["""[UNK]""", """[CLS]""", """[SEP]""", """[PAD]""", """[MASK]""", """你""", """好""", """是""", """谁""", """a""", """b""", """c""", """d"""]
            lowerCAmelCase  						=       {}
            lowerCAmelCase  						=       {}
            for i, value in enumerate(lowercase ):
                  lowerCAmelCase  						=       i
                  lowerCAmelCase  						=       i
            lowerCAmelCase  						=       os.path.join(self.tmpdirname      ,						VOCAB_FILES_NAMES["""vocab_file"""] )
            lowerCAmelCase  						=       os.path.join(self.tmpdirname      ,						VOCAB_FILES_NAMES["""word_shape_file"""] )
            lowerCAmelCase  						=       os.path.join(self.tmpdirname      ,						VOCAB_FILES_NAMES["""word_pronunciation_file"""] )
            with open(self.vocab_file      ,						"""w"""      ,						encoding="""utf-8""" ) as vocab_writer:
                  vocab_writer.write("""""".join([x + """\n""" for x in vocab_tokens] ) )
            with open(self.word_shape_file      ,						"""w"""      ,						encoding="""utf-8""" ) as word_shape_writer:
                  json.dump(lowercase      ,						lowercase      ,						ensure_ascii=lowercase )
            with open(self.word_pronunciation_file      ,						"""w"""      ,						encoding="""utf-8""" ) as word_pronunciation_writer:
                  json.dump(lowercase      ,						lowercase      ,						ensure_ascii=lowercase )





      def     _snake_case			(       self )		->     Tuple:
            lowerCAmelCase  						=       self.tokenizer_class(self.vocab_file      ,						self.word_shape_file      ,						self.word_pronunciation_file )

            lowerCAmelCase  						=       tokenizer.tokenize("""你好[SEP]你是谁""" )
            self.assertListEqual(lowercase      ,						["""你""", """好""", """[SEP]""", """你""", """是""", """谁"""] )
            self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase )      ,						[5, 6, 2, 5, 7, 8] )
            self.assertListEqual(tokenizer.convert_tokens_to_shape_ids(lowercase )      ,						[5, 6, 2, 5, 7, 8] )
            self.assertListEqual(tokenizer.convert_tokens_to_pronunciation_ids(lowercase )      ,						[5, 6, 2, 5, 7, 8] )





      def     _snake_case			(       self )		->     List[str]:
            lowerCAmelCase  						=       RoCBertBasicTokenizer()

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





      def     _snake_case			(       self )		->     Optional[Any]:
            lowerCAmelCase  						=       RoCBertBasicTokenizer(do_lower_case=lowercase )

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





      def     _snake_case			(       self )		->     Union[str, Any]:
            lowerCAmelCase  						=       RoCBertBasicTokenizer(do_lower_case=lowercase      ,						strip_accents=lowercase )

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





      def     _snake_case			(       self )		->     Dict:
            lowerCAmelCase  						=       RoCBertBasicTokenizer(do_lower_case=lowercase      ,						strip_accents=lowercase )

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





      def     _snake_case			(       self )		->     Any:
            lowerCAmelCase  						=       RoCBertBasicTokenizer(do_lower_case=lowercase )

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





      def     _snake_case			(       self )		->     Tuple:
            lowerCAmelCase  						=       RoCBertBasicTokenizer(do_lower_case=lowercase )

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





      def     _snake_case			(       self )		->     Dict:
            lowerCAmelCase  						=       RoCBertBasicTokenizer(do_lower_case=lowercase      ,						strip_accents=lowercase )

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





      def     _snake_case			(       self )		->     List[str]:
            lowerCAmelCase  						=       RoCBertBasicTokenizer(do_lower_case=lowercase      ,						strip_accents=lowercase )

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





      def     _snake_case			(       self )		->     Tuple:
            lowerCAmelCase  						=       RoCBertBasicTokenizer(do_lower_case=lowercase      ,						never_split=["""[UNK]"""] )

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





      def     _snake_case			(       self )		->     Optional[int]:
            lowerCAmelCase  						=       ["""[UNK]""", """[CLS]""", """[SEP]""", """want""", """##want""", """##ed""", """wa""", """un""", """runn""", """##ing"""]

            lowerCAmelCase  						=       {}
            for i, token in enumerate(lowercase ):
                  lowerCAmelCase  						=       i
            lowerCAmelCase  						=       RoCBertWordpieceTokenizer(vocab=lowercase      ,						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     _snake_case			(       self )		->     int:
            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     _snake_case			(       self )		->     int:
            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     _snake_case			(       self )		->     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     _snake_case			(       self )		->     Tuple:
            lowerCAmelCase  						=       self.get_tokenizer()

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

            if self.test_rust_tokenizer:
                  lowerCAmelCase  						=       self.get_rust_tokenizer()
                  self.assertListEqual(
                      [rust_tokenizer.tokenize(lowercase ) for t in ["""Test""", """\xad""", """test"""]]      ,						[["""[UNK]"""], [], ["""[UNK]"""]] )





      def     _snake_case			(       self )		->     Union[str, Any]:
            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(lowercase      ,						**lowercase )

                        lowerCAmelCase  						=       f'A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'
                        lowerCAmelCase  						=       tokenizer_r.encode_plus(
                            lowercase      ,						return_attention_mask=lowercase      ,						return_token_type_ids=lowercase      ,						return_offsets_mapping=lowercase      ,						add_special_tokens=lowercase      ,						)

                        lowerCAmelCase  						=       tokenizer_r.do_lower_case if hasattr(lowercase      ,						"""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"""] )





      def     _snake_case			(       self )		->     List[Any]:
            lowerCAmelCase  						=       ["""的""", """人""", """有"""]
            lowerCAmelCase  						=       """""".join(lowercase )
            for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                  with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})' ):
                        lowerCAmelCase  						=       True
                        lowerCAmelCase  						=       self.tokenizer_class.from_pretrained(lowercase      ,						**lowercase )
                        lowerCAmelCase  						=       self.rust_tokenizer_class.from_pretrained(lowercase      ,						**lowercase )

                        lowerCAmelCase  						=       tokenizer_p.encode(lowercase      ,						add_special_tokens=lowercase )
                        lowerCAmelCase  						=       tokenizer_r.encode(lowercase      ,						add_special_tokens=lowercase )

                        lowerCAmelCase  						=       tokenizer_r.convert_ids_to_tokens(lowercase )
                        lowerCAmelCase  						=       tokenizer_p.convert_ids_to_tokens(lowercase )

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

                        lowerCAmelCase  						=       False
                        lowerCAmelCase  						=       self.rust_tokenizer_class.from_pretrained(lowercase      ,						**lowercase )
                        lowerCAmelCase  						=       self.tokenizer_class.from_pretrained(lowercase      ,						**lowercase )

                        lowerCAmelCase  						=       tokenizer_r.encode(lowercase      ,						add_special_tokens=lowercase )
                        lowerCAmelCase  						=       tokenizer_p.encode(lowercase      ,						add_special_tokens=lowercase )

                        lowerCAmelCase  						=       tokenizer_r.convert_ids_to_tokens(lowercase )
                        lowerCAmelCase  						=       tokenizer_p.convert_ids_to_tokens(lowercase )

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





      @slow
      def     _snake_case			(       self )		->     Optional[Any]:
            lowerCAmelCase  						=       self.tokenizer_class(self.vocab_file      ,						self.word_shape_file      ,						self.word_pronunciation_file )

            lowerCAmelCase  						=       tokenizer.encode("""你好"""      ,						add_special_tokens=lowercase )
            lowerCAmelCase  						=       tokenizer.encode("""你是谁"""      ,						add_special_tokens=lowercase )

            lowerCAmelCase  						=       tokenizer.build_inputs_with_special_tokens(lowercase )
            lowerCAmelCase  						=       tokenizer.build_inputs_with_special_tokens(lowercase      ,						lowercase )

            assert encoded_sentence == [1] + text + [2]
            assert encoded_pair == [1] + text + [2] + text_a + [2]





      def     _snake_case			(       self )		->     Tuple:
            lowerCAmelCase  						=       self.get_tokenizers(do_lower_case=lowercase )
            for tokenizer in tokenizers:
                  with self.subTest(f'{tokenizer.__class__.__name__}' ):
                        lowerCAmelCase  						=       """你好，你是谁"""
                        lowerCAmelCase  						=       tokenizer.tokenize(lowercase )
                        lowerCAmelCase  						=       tokenizer.convert_tokens_to_ids(lowercase )
                        lowerCAmelCase  						=       tokenizer.convert_tokens_to_shape_ids(lowercase )
                        lowerCAmelCase  						=       tokenizer.convert_tokens_to_pronunciation_ids(lowercase )
                        lowerCAmelCase  						=       tokenizer.prepare_for_model(
                            lowercase      ,						lowercase      ,						lowercase      ,						add_special_tokens=lowercase )

                        lowerCAmelCase  						=       tokenizer.encode_plus(lowercase      ,						add_special_tokens=lowercase )

                        self.assertEqual(lowercase      ,						lowercase )








"""simple docstring"""




import argparse
import json
import os

from tensorflow.core.protobuf.saved_model_pba import SavedModel


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_copies.py
UpperCAmelCase__      :    List[str]    							= '.'

# Internal TensorFlow ops that can be safely ignored (mostly specific to a saved model)
UpperCAmelCase__      :    List[Any]    							= [
    'Assert',
    'AssignVariableOp',
    'EmptyTensorList',
    'MergeV2Checkpoints',
    'ReadVariableOp',
    'ResourceGather',
    'RestoreV2',
    'SaveV2',
    'ShardedFilename',
    'StatefulPartitionedCall',
    'StaticRegexFullMatch',
    'VarHandleOp',
]

def lowercase_  (   _snake_case   ,_snake_case   ,_snake_case						):
							SCREAMING_SNAKE_CASE__						:       List[str]           =   SavedModel()
							SCREAMING_SNAKE_CASE__						:       Dict           =   []

							with open(os.path.join(_snake_case   ,"""utils"""   ,"""tf_ops"""   ,"""onnx.json"""						)						) as f:
														SCREAMING_SNAKE_CASE__						:       Any           =   json.load(_snake_case						)["""opsets"""]

							for i in range(1   ,opset + 1						):
														onnx_ops.extend(onnx_opsets[str(_snake_case						)]						)

							with open(_snake_case   ,"""rb"""						) as f:
														saved_model.ParseFromString(f.read()						)

							SCREAMING_SNAKE_CASE__						:       List[str]           =   set()

							# Iterate over every metagraph in case there is more than one (a saved model can contain multiple graphs)
							for meta_graph in saved_model.meta_graphs:
														# Add operations in the graph definition
														model_op_names.update(node.op for node in meta_graph.graph_def.node						)

														# Go through the functions in the graph definition
														for func in meta_graph.graph_def.library.function:
																					# Add operations in each function
																					model_op_names.update(node.op for node in func.node_def						)

    # Convert to list, sorted if you want
							SCREAMING_SNAKE_CASE__						:       int           =   sorted(_snake_case						)
							SCREAMING_SNAKE_CASE__						:       Optional[Any]           =   []

							for op in model_op_names:
														if op not in onnx_ops and op not in INTERNAL_OPS:
																					incompatible_ops.append(_snake_case						)

							if strict and len(_snake_case						) > 0:
														raise Exception(f'''Found the following incompatible ops for the opset {opset}:\n''' + incompatible_ops						)
							elif len(_snake_case						) > 0:
														print(f'''Found the following incompatible ops for the opset {opset}:'''						)
														print(*_snake_case   ,sep="""\n"""						)
							else:
														print(f'''The saved model {saved_model_path} can properly be converted with ONNX.'''						)


if __name__ == "__main__":
					UpperCAmelCase__      :    Optional[int]    							= argparse.ArgumentParser()
					parser.add_argument('--saved_model_path', help='Path of the saved model to check (the .pb file).')
					parser.add_argument(
					    '--opset', default=1_2, type=int, help='The ONNX opset against which the model has to be tested.'
					)
					parser.add_argument(
					    '--framework', choices=['onnx'], default='onnx', help='Frameworks against which to test the saved model.'
					)
					parser.add_argument(
					    '--strict', action='store_true', help='Whether make the checking strict (raise errors) or not (raise warnings)'
					)
					UpperCAmelCase__      :    Dict    							= parser.parse_args()

					if args.framework == "onnx":
										onnx_compliancy(args.saved_model_path, args.strict, args.opset)




