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   snake_case_       (		__A  ,unittest.TestCase       ):
   __A	:		int         =				RoCBertTokenizer
   __A	:		List[str]         =				None
   __A	:		Dict         =				False
   __A	:		Optional[int]         =				True
   __A	:		List[Any]         =				filter_non_english






   def       __UpperCamelCase     (      self				:     Dict  )					->						Any:
       super().setUp()

       lowercase__ :   Dict    					=				["[UNK]", "[CLS]", "[SEP]", "[PAD]", "[MASK]", "你", "好", "是", "谁", "a", "b", "c", "d"]
       lowercase__ :   List[str]    					=				{}
       lowercase__ :   List[str]    					=				{}
       for i, value in enumerate(lowercase_  ):
           lowercase__ :   Union[str, Any]    					=				i
           lowercase__ :   Tuple    					=				i
       lowercase__ :   str    					=				os.path.join(self.tmpdirname	,						VOCAB_FILES_NAMES["vocab_file"]  )
       lowercase__ :   Dict    					=				os.path.join(self.tmpdirname	,						VOCAB_FILES_NAMES["word_shape_file"]  )
       lowercase__ :   str    					=				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       __UpperCamelCase     (      self				:     Dict  )					->						List[str]:
       lowercase__ :   str    					=				self.tokenizer_class(self.vocab_file	,						self.word_shape_file	,						self.word_pronunciation_file  )

       lowercase__ :   Any    					=				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       __UpperCamelCase     (      self				:     List[str]  )					->						Optional[Any]:
       lowercase__ :   List[str]    					=				RoCBertBasicTokenizer()

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






   def       __UpperCamelCase     (      self				:     List[str]  )					->						Dict:
       lowercase__ :   Optional[int]    					=				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       __UpperCamelCase     (      self				:     List[str]  )					->						Tuple:
       lowercase__ :   int    					=				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       __UpperCamelCase     (      self				:     Dict  )					->						List[str]:
       lowercase__ :   Any    					=				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       __UpperCamelCase     (      self				:     Union[str, Any]  )					->						Union[str, Any]:
       lowercase__ :   Any    					=				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       __UpperCamelCase     (      self				:     Optional[Any]  )					->						List[Any]:
       lowercase__ :   str    					=				RoCBertBasicTokenizer(do_lower_case=lowercase_  )

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






   def       __UpperCamelCase     (      self				:     Optional[int]  )					->						List[str]:
       lowercase__ :   Optional[int]    					=				RoCBertBasicTokenizer(do_lower_case=lowercase_	,						strip_accents=lowercase_  )

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






   def       __UpperCamelCase     (      self				:     Tuple  )					->						Optional[Any]:
       lowercase__ :   Optional[Any]    					=				RoCBertBasicTokenizer(do_lower_case=lowercase_	,						strip_accents=lowercase_  )

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






   def       __UpperCamelCase     (      self				:     Union[str, Any]  )					->						Tuple:
       lowercase__ :   Optional[Any]    					=				RoCBertBasicTokenizer(do_lower_case=lowercase_	,						never_split=["[UNK]"]  )

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






   def       __UpperCamelCase     (      self				:     Union[str, Any]  )					->						Dict:
       lowercase__ :   Optional[int]    					=				["[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn", "##ing"]

       lowercase__ :   Union[str, Any]    					=				{}
       for i, token in enumerate(lowercase_  ):
           lowercase__ :   Optional[Any]    					=				i
       lowercase__ :   Dict    					=				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       __UpperCamelCase     (      self				:     str  )					->						Tuple:
       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       __UpperCamelCase     (      self				:     Dict  )					->						Union[str, 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       __UpperCamelCase     (      self				:     Dict  )					->						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       __UpperCamelCase     (      self				:     Dict  )					->						Any:
       lowercase__ :   int    					=				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:
           lowercase__ :   Optional[Any]    					=				self.get_rust_tokenizer()
           self.assertListEqual(
               [rust_tokenizer.tokenize(lowercase_  ) for t in ["Test", "\xad", "test"]]	,						[["[UNK]"], [], ["[UNK]"]]  )






   def       __UpperCamelCase     (      self				:     List[str]  )					->						int:
       for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
           with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''  ):
               lowercase__ :   Dict    					=				self.rust_tokenizer_class.from_pretrained(lowercase_	,						**lowercase_  )

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

               lowercase__ :   Any    					=				tokenizer_r.do_lower_case if hasattr(lowercase_	,						"do_lower_case"  ) else False
               lowercase__ :   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       __UpperCamelCase     (      self				:     Optional[Any]  )					->						Optional[int]:
       lowercase__ :   Optional[Any]    					=				["的", "人", "有"]
       lowercase__ :   Optional[Any]    					=				"".join(lowercase_  )
       for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
           with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''  ):
               lowercase__ :   Optional[Any]    					=				True
               lowercase__ :   str    					=				self.tokenizer_class.from_pretrained(lowercase_	,						**lowercase_  )
               lowercase__ :   Any    					=				self.rust_tokenizer_class.from_pretrained(lowercase_	,						**lowercase_  )

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

               lowercase__ :   Union[str, Any]    					=				tokenizer_r.convert_ids_to_tokens(lowercase_  )
               lowercase__ :   List[Any]    					=				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_  )

               lowercase__ :   int    					=				False
               lowercase__ :   Any    					=				self.rust_tokenizer_class.from_pretrained(lowercase_	,						**lowercase_  )
               lowercase__ :   Union[str, Any]    					=				self.tokenizer_class.from_pretrained(lowercase_	,						**lowercase_  )

               lowercase__ :   Dict    					=				tokenizer_r.encode(lowercase_	,						add_special_tokens=lowercase_  )
               lowercase__ :   List[str]    					=				tokenizer_p.encode(lowercase_	,						add_special_tokens=lowercase_  )

               lowercase__ :   List[Any]    					=				tokenizer_r.convert_ids_to_tokens(lowercase_  )
               lowercase__ :   str    					=				tokenizer_p.convert_ids_to_tokens(lowercase_  )

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






   @slow
   def       __UpperCamelCase     (      self				:     Tuple  )					->						int:
       lowercase__ :   Optional[int]    					=				self.tokenizer_class(self.vocab_file	,						self.word_shape_file	,						self.word_pronunciation_file  )

       lowercase__ :   Any    					=				tokenizer.encode("你好"	,						add_special_tokens=lowercase_  )
       lowercase__ :   Dict    					=				tokenizer.encode("你是谁"	,						add_special_tokens=lowercase_  )

       lowercase__ :   str    					=				tokenizer.build_inputs_with_special_tokens(lowercase_  )
       lowercase__ :   Optional[int]    					=				tokenizer.build_inputs_with_special_tokens(lowercase_	,						lowercase_  )

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







   def       __UpperCamelCase     (      self				:     Union[str, Any]  )					->						List[str]:
       lowercase__ :   List[str]    					=				self.get_tokenizers(do_lower_case=lowercase_  )
       for tokenizer in tokenizers:
           with self.subTest(F'''{tokenizer.__class__.__name__}'''  ):
               lowercase__ :   int    					=				"你好，你是谁"
               lowercase__ :   int    					=				tokenizer.tokenize(lowercase_  )
               lowercase__ :   str    					=				tokenizer.convert_tokens_to_ids(lowercase_  )
               lowercase__ :   Tuple    					=				tokenizer.convert_tokens_to_shape_ids(lowercase_  )
               lowercase__ :   int    					=				tokenizer.convert_tokens_to_pronunciation_ids(lowercase_  )
               lowercase__ :   int    					=				tokenizer.prepare_for_model(
                   lowercase_	,						lowercase_	,						lowercase_	,						add_special_tokens=lowercase_  )

               lowercase__ :   Any    					=				tokenizer.encode_plus(lowercase_	,						add_special_tokens=lowercase_  )

               self.assertEqual(lowercase_	,						lowercase_  )











import os
from pathlib import Path
from unittest.mock import patch

import pytest
import zstandard as zstd

from datasets.download.download_config import DownloadConfig
from datasets.utils.file_utils import (
    OfflineModeIsEnabled,
    cached_path,
    fsspec_get,
    fsspec_head,
    ftp_get,
    ftp_head,
    get_from_cache,
    http_get,
    http_head,
)


lowercase  							=					"\\n    Text data.\n    Second line of data."

lowercase  							=					"file"





@pytest.fixture(scope='session')
def 						__UpperCAmelCase			(     a_):
							snake_case_				=							tmp_path_factory.mktemp('data') / (FILE_PATH + '.zstd')
							snake_case_				=							bytes(a_							,     'utf-8')
							with zstd.open(a_							,     'wb') as f:
														f.write(a_)
							return path





@pytest.fixture
def 						__UpperCAmelCase			(     a_):
							with open(os.path.join(tmpfs.local_root_dir							,     a_)							,     'w') as f:
														f.write(a_)
							return FILE_PATH





@pytest.mark.parametrize('compression_format'							,     ['gzip', 'xz', 'zstd'])
def 						__UpperCAmelCase			(     a_							,     a_							,     a_							,     a_							,     a_							,     a_):
							snake_case_				=							{'gzip': gz_file, 'xz': xz_file, 'zstd': zstd_path}
							snake_case_				=							input_paths[compression_format]
							snake_case_				=							tmp_path / 'cache'
							snake_case_				=							DownloadConfig(cache_dir=a_							,     extract_compressed_file=a_)
							snake_case_				=							cached_path(a_							,     download_config=a_)
							with open(a_) as f:
														snake_case_				=							f.read()
							with open(a_) as f:
														snake_case_				=							f.read()
							assert extracted_file_content == expected_file_content





@pytest.mark.parametrize('default_extracted'							,     [True, False])
@pytest.mark.parametrize('default_cache_dir'							,     [True, False])
def 						__UpperCAmelCase			(     a_							,     a_							,     a_							,     a_							,     a_):
							snake_case_				=							'custom_cache'
							snake_case_				=							'custom_extracted_dir'
							snake_case_				=							tmp_path / 'custom_extracted_path'
							if default_extracted:
														snake_case_				=							('downloads' if default_cache_dir else custom_cache_dir, 'extracted')
							else:
														monkeypatch.setattr('datasets.config.EXTRACTED_DATASETS_DIR'							,     a_)
														monkeypatch.setattr('datasets.config.EXTRACTED_DATASETS_PATH'							,     str(a_))
														snake_case_				=							custom_extracted_path.parts[-2:] if default_cache_dir else (custom_cache_dir, custom_extracted_dir)

							snake_case_				=							xz_file
							snake_case_				=							(
							    DownloadConfig(extract_compressed_file=a_)
							    if default_cache_dir
							    else DownloadConfig(cache_dir=tmp_path / custom_cache_dir							,     extract_compressed_file=a_)
							)
							snake_case_				=							cached_path(a_							,     download_config=a_)
							assert Path(a_).parent.parts[-2:] == expected





def 						__UpperCAmelCase			(     a_):
							# absolute path
							snake_case_				=							str(Path(a_).resolve())
							assert cached_path(a_) == text_file
							# relative path
							snake_case_				=							str(Path(a_).resolve().relative_to(Path(os.getcwd())))
							assert cached_path(a_) == text_file





def 						__UpperCAmelCase			(     a_):
							# absolute path
							snake_case_				=							str(tmp_path.resolve() / '__missing_file__.txt')
							with pytest.raises(a_):
														cached_path(a_)
							# relative path
							snake_case_				=							'./__missing_file__.txt'
							with pytest.raises(a_):
														cached_path(a_)





def 						__UpperCAmelCase			(     a_):
							snake_case_				=							get_from_cache(f'''tmp://{tmpfs_file}''')
							with open(a_) as f:
														snake_case_				=							f.read()
							assert output_file_content == FILE_CONTENT





@patch('datasets.config.HF_DATASETS_OFFLINE'							,     a_)
def 						__UpperCAmelCase			(     ):
							with pytest.raises(a_):
														cached_path('https://huggingface.co')





@patch('datasets.config.HF_DATASETS_OFFLINE'							,     a_)
def 						__UpperCAmelCase			(     a_):
							snake_case_				=							tmp_path_factory.mktemp('data') / 'file.html'
							with pytest.raises(a_):
														http_get('https://huggingface.co'							,     temp_file=a_)
							with pytest.raises(a_):
														http_head('https://huggingface.co')





@patch('datasets.config.HF_DATASETS_OFFLINE'							,     a_)
def 						__UpperCAmelCase			(     a_):
							snake_case_				=							tmp_path_factory.mktemp('data') / 'file.html'
							with pytest.raises(a_):
														ftp_get('ftp://huggingface.co'							,     temp_file=a_)
							with pytest.raises(a_):
														ftp_head('ftp://huggingface.co')





@patch('datasets.config.HF_DATASETS_OFFLINE'							,     a_)
def 						__UpperCAmelCase			(     a_):
							snake_case_				=							tmp_path_factory.mktemp('data') / 'file.html'
							with pytest.raises(a_):
														fsspec_get('s3://huggingface.co'							,     temp_file=a_)
							with pytest.raises(a_):
														fsspec_head('s3://huggingface.co')





