



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							(		_a  ,							unittest.TestCase      ):
	lowerCAmelCase			:       str								=			ProphetNetTokenizer
	lowerCAmelCase			:       List[str]								=			False



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

							A__					=  [
							    """[UNK]""",
							    """[CLS]""",
							    """[SEP]""",
							    """[PAD]""",
							    """[MASK]""",
							    """want""",
							    """##want""",
							    """##ed""",
							    """wa""",
							    """un""",
							    """runn""",
							    """##ing""",
							    """,""",
							    """low""",
							    """lowest""",
							]
							A__					=  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					,			UpperCAmelCase__						):
							A__					=  """UNwant\u00E9d,running"""
							A__					=  """unwanted, running"""
							return input_text, output_text



	def 					__A				(  self						):
							A__					=  self.tokenizer_class(self.vocab_file						)

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



	def 					__A				(  self						):
							A__					=  BasicTokenizer()

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



	def 					__A				(  self						):
							A__					=  BasicTokenizer(do_lower_case=snake_case_						)

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



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

							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__					=  BasicTokenizer(do_lower_case=snake_case_					,			strip_accents=snake_case_						)

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



	def 					__A				(  self						):
							A__					=  BasicTokenizer(do_lower_case=snake_case_						)

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



	def 					__A				(  self						):
							A__					=  BasicTokenizer(do_lower_case=snake_case_						)

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



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

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



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

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



	def 					__A				(  self						):
							A__					=  BasicTokenizer(do_lower_case=snake_case_					,			never_split=["[UNK]"]						)

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



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

							A__					=  {}
							for i, token in enumerate(snake_case_						):
													A__					=  i
							A__					=  WordpieceTokenizer(vocab=snake_case_					,			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__					=  self.tokenizer_class.from_pretrained("microsoft/prophetnet-large-uncased"						)

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

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

							A__					=  tokenizer.encode("sequence builders"					,			add_special_tokens=snake_case_						)
							A__					=  tokenizer.encode("multi-sequence build"					,			add_special_tokens=snake_case_						)

							A__					=  tokenizer.build_inputs_with_special_tokens(snake_case_						)
							A__					=  tokenizer.build_inputs_with_special_tokens(snake_case_					,			snake_case_						)

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










'''simple docstring'''





# flake8: noqa
# Lint as: python3
__a  			=						[
    "VerificationMode",
    "Version",
    "disable_progress_bar",
    "enable_progress_bar",
    "is_progress_bar_enabled",
    "experimental",
]

from .info_utils import VerificationMode
from .logging import disable_progress_bar, enable_progress_bar, is_progress_bar_enabled
from .version import Version
from .experimental import experimental
