

import os
import unittest

from transformers import BatchEncoding
from transformers.models.bert.tokenization_bert import (
    BasicTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.models.prophetnet.tokenization_prophetnet import VOCAB_FILES_NAMES, ProphetNetTokenizer
from transformers.testing_utils import require_torch, slow

from ...test_tokenization_common import TokenizerTesterMixin



class     _a						(__lowerCamelCase		,   unittest.TestCase				):


					'''simple docstring'''






					UpperCAmelCase__:   Union[str, Any]  							=       ProphetNetTokenizer
					UpperCAmelCase__:   List[str]  							=       False






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

						A__							:    Dict        =		[
						    """[UNK]""",
						    """[CLS]""",
						    """[SEP]""",
						    """[PAD]""",
						    """[MASK]""",
						    """want""",
						    """##want""",
						    """##ed""",
						    """wa""",
						    """un""",
						    """runn""",
						    """##ing""",
						    """,""",
						    """low""",
						    """lowest""",
						]
						A__							:    List[Any]        =		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   __A			( self    ,       A__			):
						A__							:    Optional[int]        =		"""UNwant\u00E9d,running"""
						A__							:    Union[str, Any]        =		"""unwanted, running"""
						return input_text, output_text






					def   __A			( self			):
						A__							:    Optional[Any]        =		self.tokenizer_class(self.vocab_file			)

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






					def   __A			( self			):
						A__							:    int        =		BasicTokenizer()

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






					def   __A			( self			):
						A__							:    Dict        =		BasicTokenizer(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]        =		BasicTokenizer(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__							:    Tuple        =		BasicTokenizer(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]        =		BasicTokenizer(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__							:    Tuple        =		BasicTokenizer(do_lower_case=A__			)

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






					def   __A			( self			):
						A__							:    Tuple        =		BasicTokenizer(do_lower_case=A__    ,       strip_accents=A__			)

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






					def   __A			( self			):
						A__							:    Dict        =		BasicTokenizer(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        =		BasicTokenizer(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__							:    List[str]        =		["""[UNK]""", """[CLS]""", """[SEP]""", """want""", """##want""", """##ed""", """wa""", """un""", """runn""", """##ing"""]

						A__							:    Tuple        =		{}
						for i, token in enumerate(A__			):
							A__							:    str        =		i
						A__							:    Any        =		WordpieceTokenizer(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"""]			)






					@require_torch
					def   __A			( self			):
						A__							:    List[str]        =		self.tokenizer_class.from_pretrained("""microsoft/prophetnet-large-uncased"""			)

						A__							:    Tuple        =		["""A long paragraph for summarization.""", """Another paragraph for summarization."""]
						A__							:    str        =		[1037, 2146, 2_0423, 2005, 7680, 7849, 3989, 1012, 102]
						A__							:    Dict        =		tokenizer(A__    ,       padding=A__    ,       return_tensors="""pt"""			)
						self.assertIsInstance(A__    ,       A__			)
						A__							:    Optional[Any]        =		list(batch.input_ids.numpy()[0]			)
						self.assertListEqual(A__    ,       A__			)

						self.assertEqual((2, 9)    ,       batch.input_ids.shape			)
						self.assertEqual((2, 9)    ,       batch.attention_mask.shape			)






					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(""" """			)			)






					@slow
					def   __A			( self			):
						A__							:    Union[str, Any]        =		self.tokenizer_class.from_pretrained("""microsoft/prophetnet-large-uncased"""			)

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

						A__							:    Dict        =		tokenizer.build_inputs_with_special_tokens(A__			)
						A__							:    Any        =		tokenizer.build_inputs_with_special_tokens(A__    ,       A__			)

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










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






