
'''simple docstring'''



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   UpperCAmelCase_					(		_SCREAMING_SNAKE_CASE	,							unittest.TestCase			):






						'''simple docstring'''






						_lowercase		:				Optional[Any]									=       ProphetNetTokenizer
						_lowercase		:				str									=       False




						def  _lowercase     ( self				):

												"""simple docstring"""



												super().setUp()

												_lowerCAmelCase  						=			[
												    """[UNK]""",
												    """[CLS]""",
												    """[SEP]""",
												    """[PAD]""",
												    """[MASK]""",
												    """want""",
												    """##want""",
												    """##ed""",
												    """wa""",
												    """un""",
												    """runn""",
												    """##ing""",
												    """,""",
												    """low""",
												    """lowest""",
												]
												_lowerCAmelCase  						=			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  _lowercase     ( self   ,       _lowercase				):

												"""simple docstring"""



												_lowerCAmelCase  						=			"""UNwant\u00E9d,running"""
												_lowerCAmelCase  						=			"""unwanted, running"""
												return input_text, output_text




						def  _lowercase     ( self				):

												"""simple docstring"""



												_lowerCAmelCase  						=			self.tokenizer_class(self.vocab_file				)

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




						def  _lowercase     ( self				):

												"""simple docstring"""



												_lowerCAmelCase  						=			BasicTokenizer()

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




						def  _lowercase     ( self				):

												"""simple docstring"""



												_lowerCAmelCase  						=			BasicTokenizer(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  _lowercase     ( self				):

												"""simple docstring"""



												_lowerCAmelCase  						=			BasicTokenizer(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  _lowercase     ( self				):

												"""simple docstring"""



												_lowerCAmelCase  						=			BasicTokenizer(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  _lowercase     ( self				):

												"""simple docstring"""



												_lowerCAmelCase  						=			BasicTokenizer(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  _lowercase     ( self				):

												"""simple docstring"""



												_lowerCAmelCase  						=			BasicTokenizer(do_lower_case=_lowercase				)

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




						def  _lowercase     ( self				):

												"""simple docstring"""



												_lowerCAmelCase  						=			BasicTokenizer(do_lower_case=_lowercase   ,       strip_accents=_lowercase				)

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




						def  _lowercase     ( self				):

												"""simple docstring"""



												_lowerCAmelCase  						=			BasicTokenizer(do_lower_case=_lowercase   ,       strip_accents=_lowercase				)

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




						def  _lowercase     ( self				):

												"""simple docstring"""



												_lowerCAmelCase  						=			BasicTokenizer(do_lower_case=_lowercase   ,       never_split=["""[UNK]"""]				)

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




						def  _lowercase     ( self				):

												"""simple docstring"""



												_lowerCAmelCase  						=			["""[UNK]""", """[CLS]""", """[SEP]""", """want""", """##want""", """##ed""", """wa""", """un""", """runn""", """##ing"""]

												_lowerCAmelCase  						=			{}
												for i, token in enumerate(_lowercase				):
																		_lowerCAmelCase  						=			i
												_lowerCAmelCase  						=			WordpieceTokenizer(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"""]				)




						@require_torch
						def  _lowercase     ( self				):

												"""simple docstring"""



												_lowerCAmelCase  						=			self.tokenizer_class.from_pretrained("""microsoft/prophetnet-large-uncased"""				)

												_lowerCAmelCase  						=			["""A long paragraph for summarization.""", """Another paragraph for summarization."""]
												_lowerCAmelCase  						=			[1_037, 2_146, 20_423, 2_005, 7_680, 7_849, 3_989, 1_012, 102]
												_lowerCAmelCase  						=			tokenizer(_lowercase   ,       padding=_lowercase   ,       return_tensors="""pt"""				)
												self.assertIsInstance(_lowercase   ,       _lowercase				)
												_lowerCAmelCase  						=			list(batch.input_ids.numpy()[0]				)
												self.assertListEqual(_lowercase   ,       _lowercase				)

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




						def  _lowercase     ( self				):

												"""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  _lowercase     ( self				):

												"""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  _lowercase     ( self				):

												"""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(""" """				)				)




						@slow
						def  _lowercase     ( self				):

												"""simple docstring"""



												_lowerCAmelCase  						=			self.tokenizer_class.from_pretrained("""microsoft/prophetnet-large-uncased"""				)

												_lowerCAmelCase  						=			tokenizer.encode("""sequence builders"""   ,       add_special_tokens=_lowercase				)
												_lowerCAmelCase  						=			tokenizer.encode("""multi-sequence build"""   ,       add_special_tokens=_lowercase				)

												_lowerCAmelCase  						=			tokenizer.build_inputs_with_special_tokens(_lowercase				)
												_lowerCAmelCase  						=			tokenizer.build_inputs_with_special_tokens(_lowercase   ,       _lowercase				)

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


'''simple docstring'''



from __future__ import annotations




class   UpperCAmelCase_					:






						'''simple docstring'''






						def __init__( self   ,       _lowercase				):

												"""simple docstring"""



												_lowerCAmelCase  						=			order

												# a_{0} ... a_{k}
												_lowerCAmelCase  						=			[1.0] + [0.0] * order
												# b_{0} ... b_{k}
												_lowerCAmelCase  						=			[1.0] + [0.0] * order

												# x[n-1] ... x[n-k]
												_lowerCAmelCase  						=			[0.0] * self.order
												# y[n-1] ... y[n-k]
												_lowerCAmelCase  						=			[0.0] * self.order




						def  _lowercase     ( self   ,       _lowercase   ,       _lowercase				):

												"""simple docstring"""



												if len(_lowercase				) < self.order:
																		_lowerCAmelCase  						=			[1.0, *a_coeffs]

												if len(_lowercase				) != self.order + 1:
																		_lowerCAmelCase  						=			(
																		    F'Expected a_coeffs to have {self.order + 1} elements '
																		    F'for {self.order}-order filter, got {len(_lowercase				)}'
																		)
																		raise ValueError(_lowercase				)

												if len(_lowercase				) != self.order + 1:
																		_lowerCAmelCase  						=			(
																		    F'Expected b_coeffs to have {self.order + 1} elements '
																		    F'for {self.order}-order filter, got {len(_lowercase				)}'
																		)
																		raise ValueError(_lowercase				)

												_lowerCAmelCase  						=			a_coeffs
												_lowerCAmelCase  						=			b_coeffs




						def  _lowercase     ( self   ,       _lowercase				):

												"""simple docstring"""



												_lowerCAmelCase  						=			0.0

												# Start at index 1 and do index 0 at the end.
												for i in range(1   ,       self.order + 1				):
																		result += (
																		    self.b_coeffs[i] * self.input_history[i - 1]
																		    - self.a_coeffs[i] * self.output_history[i - 1]
																		)

												_lowerCAmelCase  						=			(result + self.b_coeffs[0] * sample) / self.a_coeffs[0]

												_lowerCAmelCase  						=			self.input_history[:-1]
												_lowerCAmelCase  						=			self.output_history[:-1]

												_lowerCAmelCase  						=			sample
												_lowerCAmelCase  						=			result

												return result
