

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     _a						(__lowerCamelCase		,   unittest.TestCase				):


					'''simple docstring'''






					UpperCAmelCase__:   Optional[Any]  							=       RoCBertTokenizer
					UpperCAmelCase__:   str  							=       None
					UpperCAmelCase__:   Optional[Any]  							=       False
					UpperCAmelCase__:   Optional[int]  							=       True
					UpperCAmelCase__:   Tuple  							=       filter_non_english






					def   __A			( self			):
						super().setUp()

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






					def   __A			( self			):
						A__							:    Any        =		self.tokenizer_class(self.vocab_file    ,       self.word_shape_file    ,       self.word_pronunciation_file			)

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






					def   __A			( self			):
						A__							:    Dict        =		RoCBertBasicTokenizer()

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






					def   __A			( self			):
						A__							:    Dict        =		RoCBertBasicTokenizer(do_lower_case=A__			)

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






					def   __A			( self			):
						A__							:    Optional[Any]        =		RoCBertBasicTokenizer(do_lower_case=A__    ,       strip_accents=A__			)

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






					def   __A			( self			):
						A__							:    Optional[int]        =		RoCBertBasicTokenizer(do_lower_case=A__    ,       strip_accents=A__			)

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






					def   __A			( self			):
						A__							:    Optional[Any]        =		RoCBertBasicTokenizer(do_lower_case=A__			)

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






					def   __A			( self			):
						A__							:    Dict        =		RoCBertBasicTokenizer(do_lower_case=A__			)

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






					def   __A			( self			):
						A__							:    List[str]        =		RoCBertBasicTokenizer(do_lower_case=A__    ,       strip_accents=A__			)

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






					def   __A			( self			):
						A__							:    List[str]        =		RoCBertBasicTokenizer(do_lower_case=A__    ,       strip_accents=A__			)

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






					def   __A			( self			):
						A__							:    Dict        =		RoCBertBasicTokenizer(do_lower_case=A__    ,       never_split=["""[UNK]"""]			)

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






					def   __A			( self			):
						A__							:    int        =		["""[UNK]""", """[CLS]""", """[SEP]""", """want""", """##want""", """##ed""", """wa""", """un""", """runn""", """##ing"""]

						A__							:    Optional[Any]        =		{}
						for i, token in enumerate(A__			):
							A__							:    List[str]        =		i
						A__							:    Optional[Any]        =		RoCBertWordpieceTokenizer(vocab=A__    ,       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			):
						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			):
						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			):
						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			):
						A__							:    Dict        =		self.get_tokenizer()

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

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






					def   __A			( self			):
						for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
							with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})"""			):
								A__							:    Dict        =		self.rust_tokenizer_class.from_pretrained(A__    ,       **A__			)

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

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

								A__							:    List[str]        =		tokenizer_p.encode(A__    ,       add_special_tokens=A__			)
								A__							:    str        =		tokenizer_r.encode(A__    ,       add_special_tokens=A__			)

								A__							:    Dict        =		tokenizer_r.convert_ids_to_tokens(A__			)
								A__							:    Tuple        =		tokenizer_p.convert_ids_to_tokens(A__			)

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

								A__							:    Union[str, Any]        =		False
								A__							:    Any        =		self.rust_tokenizer_class.from_pretrained(A__    ,       **A__			)
								A__							:    Dict        =		self.tokenizer_class.from_pretrained(A__    ,       **A__			)

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

								A__							:    Optional[int]        =		tokenizer_r.convert_ids_to_tokens(A__			)
								A__							:    int        =		tokenizer_p.convert_ids_to_tokens(A__			)

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






					@slow
					def   __A			( self			):
						A__							:    List[Any]        =		self.tokenizer_class(self.vocab_file    ,       self.word_shape_file    ,       self.word_pronunciation_file			)

						A__							:    int        =		tokenizer.encode("""你好"""    ,       add_special_tokens=A__			)
						A__							:    Optional[int]        =		tokenizer.encode("""你是谁"""    ,       add_special_tokens=A__			)

						A__							:    Union[str, Any]        =		tokenizer.build_inputs_with_special_tokens(A__			)
						A__							:    Tuple        =		tokenizer.build_inputs_with_special_tokens(A__    ,       A__			)

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






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

								A__							:    Tuple        =		tokenizer.encode_plus(A__    ,       add_special_tokens=A__			)

								self.assertEqual(A__    ,       A__			)










def 			A__							(    SCREAMING_SNAKE_CASE__ = 200)   ->    int:
  __snake_case:						Optional[int]   =						[1, 2, 5, 10, 20, 50, 100, 200]
  __snake_case:						List[Any]   =						[0] * (pence + 1)
  __snake_case:						int   =						1  # base case: 1 way to make 0 pence

  for coin in coins:
    for i in range(SCREAMING_SNAKE_CASE__					,					pence + 1					,					1):
      number_of_ways[i] += number_of_ways[i - coin]
  return number_of_ways[pence]


if __name__ == "__main__":
      assert solution(200) == 73_682






