


"""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 _lowerCAmelCase				(      snake_case_    ,							unittest.TestCase	):
   __UpperCAmelCase :       Optional[Any]							  =  RoCBertTokenizer
   __UpperCAmelCase :       List[str]							  =  None
   __UpperCAmelCase :       Dict							  =  False
   __UpperCAmelCase :       List[Any]							  =  True
   __UpperCAmelCase :       Union[str, Any]							  =  filter_non_english







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

       '''simple docstring'''




       super().setUp()

       snake_case    :      Any      					=    ["[UNK]", "[CLS]", "[SEP]", "[PAD]", "[MASK]", "你", "好", "是", "谁", "a", "b", "c", "d"]
       snake_case    :      Dict      					=    {}
       snake_case    :      int      					=    {}
       for i, value in enumerate(UpperCamelCase__						):
           snake_case    :      Any      					=    i
           snake_case    :      Union[str, Any]      					=    i
       snake_case    :      Optional[int]      					=    os.path.join(self.tmpdirname						,	VOCAB_FILES_NAMES["vocab_file"]						)
       snake_case    :      Union[str, Any]      					=    os.path.join(self.tmpdirname						,	VOCAB_FILES_NAMES["word_shape_file"]						)
       snake_case    :      Any      					=    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(UpperCamelCase__						,	UpperCamelCase__						,	ensure_ascii=UpperCamelCase__						)
       with open(self.word_pronunciation_file						,	"w"						,	encoding="utf-8"						) as word_pronunciation_writer:
           json.dump(UpperCamelCase__						,	UpperCamelCase__						,	ensure_ascii=UpperCamelCase__						)







   def  lowerCamelCase		(	self						)	->		Tuple:

       '''simple docstring'''




       snake_case    :      List[Any]      					=    self.tokenizer_class(self.vocab_file						,	self.word_shape_file						,	self.word_pronunciation_file						)

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







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

       '''simple docstring'''




       snake_case    :      List[str]      					=    RoCBertBasicTokenizer()

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







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

       '''simple docstring'''




       snake_case    :      int      					=    RoCBertBasicTokenizer(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  lowerCamelCase		(	self						)	->		Tuple:

       '''simple docstring'''




       snake_case    :      Any      					=    RoCBertBasicTokenizer(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  lowerCamelCase		(	self						)	->		Dict:

       '''simple docstring'''




       snake_case    :      Dict      					=    RoCBertBasicTokenizer(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  lowerCamelCase		(	self						)	->		Union[str, Any]:

       '''simple docstring'''




       snake_case    :      int      					=    RoCBertBasicTokenizer(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  lowerCamelCase		(	self						)	->		List[Any]:

       '''simple docstring'''




       snake_case    :      int      					=    RoCBertBasicTokenizer(do_lower_case=UpperCamelCase__						)

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







   def  lowerCamelCase		(	self						)	->		Dict:

       '''simple docstring'''




       snake_case    :      Union[str, Any]      					=    RoCBertBasicTokenizer(do_lower_case=UpperCamelCase__						,	strip_accents=UpperCamelCase__						)

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







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

       '''simple docstring'''




       snake_case    :      List[Any]      					=    RoCBertBasicTokenizer(do_lower_case=UpperCamelCase__						,	strip_accents=UpperCamelCase__						)

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







   def  lowerCamelCase		(	self						)	->		str:

       '''simple docstring'''




       snake_case    :      List[Any]      					=    RoCBertBasicTokenizer(do_lower_case=UpperCamelCase__						,	never_split=["[UNK]"]						)

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







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

       '''simple docstring'''




       snake_case    :      Union[str, Any]      					=    ["[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn", "##ing"]

       snake_case    :      int      					=    {}
       for i, token in enumerate(UpperCamelCase__						):
           snake_case    :      Optional[Any]      					=    i
       snake_case    :      Dict      					=    RoCBertWordpieceTokenizer(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  lowerCamelCase		(	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  lowerCamelCase		(	self						)	->		Optional[int]:

       '''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						)	->		int:

       '''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]:

       '''simple docstring'''




       snake_case    :      Optional[Any]      					=    self.get_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]"]]						)

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







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

       '''simple docstring'''




       for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
           with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'						):
               snake_case    :      Optional[Any]      					=    self.rust_tokenizer_class.from_pretrained(UpperCamelCase__						,	**UpperCamelCase__						)

               snake_case    :      Optional[int]      					=    F'A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'
               snake_case    :      Optional[int]      					=    tokenizer_r.encode_plus(
                   UpperCamelCase__						,	return_attention_mask=UpperCamelCase__						,	return_token_type_ids=UpperCamelCase__						,	return_offsets_mapping=UpperCamelCase__						,	add_special_tokens=UpperCamelCase__						,	)

               snake_case    :      List[str]      					=    tokenizer_r.do_lower_case if hasattr(UpperCamelCase__						,	"do_lower_case"						) else False
               snake_case    :      str      					=    (
                   [
                       ((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]:

       '''simple docstring'''




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

               snake_case    :      Optional[Any]      					=    tokenizer_p.encode(UpperCamelCase__						,	add_special_tokens=UpperCamelCase__						)
               snake_case    :      Optional[Any]      					=    tokenizer_r.encode(UpperCamelCase__						,	add_special_tokens=UpperCamelCase__						)

               snake_case    :      Optional[Any]      					=    tokenizer_r.convert_ids_to_tokens(UpperCamelCase__						)
               snake_case    :      Dict      					=    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__						)

               snake_case    :      Tuple      					=    False
               snake_case    :      Dict      					=    self.rust_tokenizer_class.from_pretrained(UpperCamelCase__						,	**UpperCamelCase__						)
               snake_case    :      Any      					=    self.tokenizer_class.from_pretrained(UpperCamelCase__						,	**UpperCamelCase__						)

               snake_case    :      int      					=    tokenizer_r.encode(UpperCamelCase__						,	add_special_tokens=UpperCamelCase__						)
               snake_case    :      str      					=    tokenizer_p.encode(UpperCamelCase__						,	add_special_tokens=UpperCamelCase__						)

               snake_case    :      Union[str, Any]      					=    tokenizer_r.convert_ids_to_tokens(UpperCamelCase__						)
               snake_case    :      Optional[Any]      					=    tokenizer_p.convert_ids_to_tokens(UpperCamelCase__						)

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







   @slow
   def  lowerCamelCase		(	self						)	->		Dict:

       '''simple docstring'''




       snake_case    :      str      					=    self.tokenizer_class(self.vocab_file						,	self.word_shape_file						,	self.word_pronunciation_file						)

       snake_case    :      Dict      					=    tokenizer.encode("你好"						,	add_special_tokens=UpperCamelCase__						)
       snake_case    :      Tuple      					=    tokenizer.encode("你是谁"						,	add_special_tokens=UpperCamelCase__						)

       snake_case    :      Union[str, Any]      					=    tokenizer.build_inputs_with_special_tokens(UpperCamelCase__						)
       snake_case    :      Optional[int]      					=    tokenizer.build_inputs_with_special_tokens(UpperCamelCase__						,	UpperCamelCase__						)

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







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

       '''simple docstring'''




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

               snake_case    :      int      					=    tokenizer.encode_plus(UpperCamelCase__						,	add_special_tokens=UpperCamelCase__						)

               self.assertEqual(UpperCamelCase__						,	UpperCamelCase__						)









"""simple docstring"""



def   __lowerCAmelCase						(						lowercase  :  list )	->						int:


    """simple docstring"""





    if not grid or not grid[0]:
        raise TypeError("The grid does not contain the appropriate information" )

    for cell_n in range(1						,							len(grid[0] ) ):
        grid[0][cell_n] += grid[0][cell_n - 1]
    snake_case    :      int      					=    grid[0]

    for row_n in range(1						,							len(lowercase ) ):
        snake_case    :      Optional[Any]      					=    grid[row_n]
        snake_case    :      List[str]      					=    fill_row(lowercase						,							lowercase )
        snake_case    :      Optional[int]      					=    grid[row_n]

    return grid[-1][-1]







def   __lowerCAmelCase						(						lowercase  :  list						,							lowercase  :  list )	->						list:


    """simple docstring"""





    current_row[0] += row_above[0]
    for cell_n in range(1						,							len(lowercase ) ):
        current_row[cell_n] += min(current_row[cell_n - 1]						,							row_above[cell_n] )

    return current_row


if __name__ == "__main__":
  import doctest

  doctest.testmod()





