
import doctest
import logging
import os
import unittest
from pathlib import Path
from typing import List, Union

import transformers
from transformers.testing_utils import require_tf, require_torch, slow


__snake_case								=  logging.getLogger()




@unittest.skip("""Temporarily disable the doc tests."""  )
@require_torch
@require_tf
@slow
class 						lowercase__  (						unittest.TestCase  ):
	def      A_				(			self							:   Optional[int]       ,   UpperCAmelCase_							:   Path       ,   UpperCAmelCase_							:   Union[str, None] = None       ,   UpperCAmelCase_							:   Union[List[str], None] = None       ,   UpperCAmelCase_							:   Union[str, List[str], None] = None       ,   UpperCAmelCase_							:   bool = True       ,   ):
						SCREAMING_SNAKE_CASE__													= [file for file in os.listdir(UpperCAmelCase_							) if os.path.isfile(os.path.join(UpperCAmelCase_       ,   UpperCAmelCase_							)							)]

						if identifier is not None:
											SCREAMING_SNAKE_CASE__													= [file for file in files if identifier in file]

						if n_identifier is not None:
											if isinstance(UpperCAmelCase_       ,   UpperCAmelCase_							):
																for n_ in n_identifier:
																					SCREAMING_SNAKE_CASE__													= [file for file in files if n_ not in file]
											else:
																SCREAMING_SNAKE_CASE__													= [file for file in files if n_identifier not in file]

						SCREAMING_SNAKE_CASE__													= ignore_files or []
						ignore_files.append('__init__.py'							)
						SCREAMING_SNAKE_CASE__													= [file for file in files if file not in ignore_files]

						for file in files:
											# Open all files
											print('Testing'       ,   UpperCAmelCase_							)

											if only_modules:
																SCREAMING_SNAKE_CASE__													= file.split('.'							)[0]
																try:
																					SCREAMING_SNAKE_CASE__													= getattr(UpperCAmelCase_       ,   UpperCAmelCase_							)
																					SCREAMING_SNAKE_CASE__													= doctest.DocTestSuite(UpperCAmelCase_							)
																					SCREAMING_SNAKE_CASE__													= unittest.TextTestRunner().run(UpperCAmelCase_							)
																					self.assertIs(len(result.failures							)       ,   0							)
																except AttributeError:
																					logger.info(F'{module_identifier} is not a module.'							)
											else:
																SCREAMING_SNAKE_CASE__													= doctest.testfile(str('..' / directory / file							)       ,   optionflags=doctest.ELLIPSIS							)
																self.assertIs(result.failed       ,   0							)
	def      A_				(			self							:   str							):
						SCREAMING_SNAKE_CASE__													= Path('src/transformers'							)
						SCREAMING_SNAKE_CASE__													= 'modeling'
						SCREAMING_SNAKE_CASE__													= [
						    'modeling_ctrl.py',
						    'modeling_tf_ctrl.py',
						]
						self.analyze_directory(UpperCAmelCase_       ,   identifier=UpperCAmelCase_       ,   ignore_files=UpperCAmelCase_							)
	def      A_				(			self							:   Dict							):
						SCREAMING_SNAKE_CASE__													= Path('src/transformers'							)
						SCREAMING_SNAKE_CASE__													= 'tokenization'
						self.analyze_directory(UpperCAmelCase_       ,   identifier=UpperCAmelCase_							)
	def      A_				(			self							:   int							):
						SCREAMING_SNAKE_CASE__													= Path('src/transformers'							)
						SCREAMING_SNAKE_CASE__													= 'configuration'
						self.analyze_directory(UpperCAmelCase_       ,   identifier=UpperCAmelCase_							)
	def      A_				(			self							:   Union[str, Any]							):
						SCREAMING_SNAKE_CASE__													= Path('src/transformers'							)
						SCREAMING_SNAKE_CASE__													= ['configuration', 'modeling', 'tokenization']
						self.analyze_directory(UpperCAmelCase_       ,   n_identifier=UpperCAmelCase_							)





	def      A_				(			self							:   str							):
						SCREAMING_SNAKE_CASE__													= Path('docs/source'							)
						SCREAMING_SNAKE_CASE__													= ['favicon.ico']
						self.analyze_directory(UpperCAmelCase_       ,   ignore_files=UpperCAmelCase_       ,   only_modules=UpperCAmelCase_							)







import unittest

from transformers.models.xlm_prophetnet.tokenization_xlm_prophetnet import SPIECE_UNDERLINE, XLMProphetNetTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


__snake_case								=  get_tests_dir("""fixtures/test_sentencepiece.model""")




@require_sentencepiece
class 						lowercase__  (						_UpperCAmelCase     ,       unittest.TestCase  ):
	A__    :   List[str]				       =XLMProphetNetTokenizer
	A__    :   List[Any]				       =False
	A__    :   Tuple				       =True
	def      A_				(			self							:   str							):
						super().setUp()

						# We have a SentencePiece fixture for testing
						SCREAMING_SNAKE_CASE__													= XLMProphetNetTokenizer(UpperCAmelCase_       ,   keep_accents=UpperCAmelCase_							)
						tokenizer.save_pretrained(self.tmpdirname							)
	def      A_				(			self							:   Tuple							):
						SCREAMING_SNAKE_CASE__													= '[PAD]'
						SCREAMING_SNAKE_CASE__													= 0

						self.assertEqual(self.get_tokenizer()._convert_token_to_id(UpperCAmelCase_							)       ,   UpperCAmelCase_							)
						self.assertEqual(self.get_tokenizer()._convert_id_to_token(UpperCAmelCase_							)       ,   UpperCAmelCase_							)
	def      A_				(			self							:   Tuple							):
						SCREAMING_SNAKE_CASE__													= list(self.get_tokenizer().get_vocab().keys()							)

						self.assertEqual(vocab_keys[0]       ,   '[PAD]'							)
						self.assertEqual(vocab_keys[1]       ,   '[CLS]'							)
						self.assertEqual(vocab_keys[-1]       ,   'j'							)
						self.assertEqual(len(UpperCAmelCase_							)       ,   1012							)
	def      A_				(			self							:   List[Any]							):
						self.assertEqual(self.get_tokenizer().vocab_size       ,   1012							)
	def      A_				(			self							:   Optional[int]							):
						SCREAMING_SNAKE_CASE__													= XLMProphetNetTokenizer(UpperCAmelCase_       ,   keep_accents=UpperCAmelCase_							)

						SCREAMING_SNAKE_CASE__													= tokenizer.tokenize('This is a test'							)
						self.assertListEqual(UpperCAmelCase_       ,   ['▁This', '▁is', '▁a', '▁t', 'est']							)

						self.assertListEqual(
						    tokenizer.convert_tokens_to_ids(UpperCAmelCase_							)       ,   [value + tokenizer.fairseq_offset for value in [285, 46, 10, 170, 382]]       ,   )

						SCREAMING_SNAKE_CASE__													= tokenizer.tokenize('I was born in 92000, and this is falsé.'							)
						self.assertListEqual(
						    UpperCAmelCase_       ,   [
						        SPIECE_UNDERLINE + 'I',
						        SPIECE_UNDERLINE + 'was',
						        SPIECE_UNDERLINE + 'b',
						        'or',
						        'n',
						        SPIECE_UNDERLINE + 'in',
						        SPIECE_UNDERLINE + '',
						        '9',
						        '2',
						        '0',
						        '0',
						        '0',
						        ',',
						        SPIECE_UNDERLINE + 'and',
						        SPIECE_UNDERLINE + 'this',
						        SPIECE_UNDERLINE + 'is',
						        SPIECE_UNDERLINE + 'f',
						        'al',
						        's',
						        'é',
						        '.',
						    ]       ,   )
						SCREAMING_SNAKE_CASE__													= tokenizer.convert_tokens_to_ids(UpperCAmelCase_							)
						self.assertListEqual(
						    UpperCAmelCase_       ,   [
						        value + tokenizer.fairseq_offset
						        for value in [8, 21, 84, 55, 24, 19, 7, -9, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, -9, 4]
						    ]       ,   )

						SCREAMING_SNAKE_CASE__													= tokenizer.convert_ids_to_tokens(UpperCAmelCase_							)
						self.assertListEqual(
						    UpperCAmelCase_       ,   [
						        SPIECE_UNDERLINE + 'I',
						        SPIECE_UNDERLINE + 'was',
						        SPIECE_UNDERLINE + 'b',
						        'or',
						        'n',
						        SPIECE_UNDERLINE + 'in',
						        SPIECE_UNDERLINE + '',
						        '[UNK]',
						        '2',
						        '0',
						        '0',
						        '0',
						        ',',
						        SPIECE_UNDERLINE + 'and',
						        SPIECE_UNDERLINE + 'this',
						        SPIECE_UNDERLINE + 'is',
						        SPIECE_UNDERLINE + 'f',
						        'al',
						        's',
						        '[UNK]',
						        '.',
						    ]       ,   )
	@cached_property
	def      A_				(			self							:   Optional[Any]							):
						return XLMProphetNetTokenizer.from_pretrained('microsoft/xprophetnet-large-wiki100-cased'							)
	@slow
	def      A_				(			self							:   Any							):
						SCREAMING_SNAKE_CASE__													= 'Hello World!'
						SCREAMING_SNAKE_CASE__													= [35389, 6672, 49, 2]
						self.assertListEqual(UpperCAmelCase_       ,   self.big_tokenizer.encode(UpperCAmelCase_							)							)





	@slow
	def      A_				(			self							:   Tuple							):
						# fmt: off
						SCREAMING_SNAKE_CASE__													= {'input_ids': [[11073, 82783, 18, 26, 82783, 549, 51540, 248, 17209, 1301, 217, 20, 215186, 1325, 147, 17209, 1301, 217, 20, 56370, 53, 122020, 20, 16477, 27, 87355, 4548, 20, 4728, 78392, 17, 159969, 18, 26, 24491, 629, 15, 538, 22704, 5439, 15, 2788, 24491, 9885, 15, 43534, 605, 15, 814, 18403, 33200, 29, 15, 43534, 24458, 12410, 111, 24966, 83669, 9637, 144068, 26, 850, 22346, 27, 147, 24966, 83669, 83490, 26, 39113, 735, 27, 689, 656, 2800, 1339, 4600, 53, 122020, 115785, 34, 816, 1339, 46887, 18, 147, 53905, 1951, 42238, 41170, 17732, 834, 436, 15, 27523, 98733, 217, 147, 5542, 4981, 930, 17347, 16, 2], [20091, 629, 94, 82786, 58, 490, 20, 1528, 84, 53905, 344, 80592, 110128, 18822, 5267, 1306, 62, 152537, 308, 7997, 401, 124427, 549, 35442, 225, 109, 15055, 25748, 147, 7119, 43712, 34, 767, 135366, 18, 16, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [592, 63784, 119466, 17, 147808, 88214, 18, 656, 81, 32, 3296, 10280, 16, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], 'attention_mask': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
						# fmt: on

						self.tokenizer_integration_test_util(
						    expected_encoding=UpperCAmelCase_       ,   model_name='microsoft/xprophetnet-large-wiki100-cased'       ,   revision='1acad1643ddd54a44df6a1b797ada8373685d90e'       ,   )





