
import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_torch, slow, torch_device


if is_torch_available():
							import torch

							from transformers import XLMProphetNetForConditionalGeneration, XLMProphetNetTokenizer







@require_torch
class 							lowercase						(   unittest.TestCase						):




							@slow
							def 					A__ (							self):
												lowercase		      =		XLMProphetNetForConditionalGeneration.from_pretrained('''microsoft/xprophetnet-large-wiki100-cased''')
												model.to(A__)

												# encoder-decoder outputs
												lowercase		      =		torch.tensor([[1_7, 9_6_2_0_8, 1_0_3_4_7_1, 2]]).to(A__)
												lowercase		      =		torch.tensor(
												    [[2, 2_5_0, 9_9_5_3, 3_4, 6_9_4_8_9, 1_6_2_0, 3_2, 1_1_8_4_2_4, 6_2_4, 2_1_0, 1_0_5, 2_9_1_3, 1_0_3_2, 3_5_1]]).to(A__)
												lowercase		      =		model(
												    input_ids=A__  ,attention_mask=A__  ,encoder_outputs=A__  ,decoder_input_ids=A__)
												lowercase		      =		output[0]
												lowercase		      =		torch.Size((1, 1_4, 2_5_0_0_1_2))
												self.assertEqual(output_predited_logis.shape  ,A__)
												lowercase		      =		torch.tensor(
												    [[[-6.3986, -8.2391, 12.5189], [-6.3289, -8.0864, 12.6211], [-6.2418, -8.0445, 12.7968]]]).to(A__)
												self.assertTrue(torch.allclose(output_predited_logis[:, :3, :3]  ,A__  ,atol=1E-4))

												# encoder outputs
												lowercase		      =		model.prophetnet.encoder(A__)[0]
												lowercase		      =		torch.tensor(
												    [[[-1.4260, -0.7628, 0.8453], [-1.4719, -0.1391, 0.7807], [-1.7678, 0.0114, 0.4646]]]).to(A__)
												lowercase		      =		torch.Size((1, 4, 1_0_2_4))
												self.assertEqual(encoder_outputs.shape  ,A__)
												self.assertTrue(torch.allclose(encoder_outputs[:, :3, :3]  ,A__  ,atol=1E-4))

												# decoder outputs
												lowercase		      =		model.prophetnet.decoder(
												    A__  ,encoder_hidden_states=A__  ,)
												lowercase		      =		decoder_outputs[1].view(1  ,model.config.ngram  ,1_4  ,-1)
												lowercase		      =		model.lm_head(A__)
												lowercase		      =		predicting_streams_logits[:, 0]
												self.assertTrue(torch.allclose(next_first_stream_logits[:, :3, :3]  ,A__  ,atol=1E-4))




							@slow
							def 					A__ (							self):
												lowercase		      =		XLMProphetNetForConditionalGeneration.from_pretrained(
												    '''microsoft/xprophetnet-large-wiki100-cased-xglue-ntg''')
												model.to(A__)

												lowercase		      =		torch.tensor([[1_7, 9_6_2_0_8, 1_0_3_4_7_1, 2]]).to(A__)
												lowercase		      =		torch.tensor(
												    [[2, 2_5_0, 9_9_5_3, 3_4, 6_9_4_8_9, 1_6_2_0, 3_2, 1_1_8_4_2_4, 6_2_4, 2_1_0, 1_0_5, 2_9_1_3, 1_0_3_2, 3_5_1]]).to(A__)
												lowercase		      =		model(
												    input_ids=A__  ,attention_mask=A__  ,encoder_outputs=A__  ,decoder_input_ids=A__)
												lowercase		      =		output[0]
												lowercase		      =		torch.Size((1, 1_4, 2_5_0_0_1_2))
												self.assertEqual(output_predited_logis.shape  ,A__)
												# compare the actual values for a slice.
												lowercase		      =		torch.tensor(
												    [[[-9.2253, -9.7173, -6.3529], [-7.6701, -9.0145, -1.9382], [-8.0195, -7.0004, -0.1523]]]).to(A__)

												self.assertTrue(torch.allclose(output_predited_logis[:, :3, :3]  ,A__  ,atol=1E-4))





							@slow
							def 					A__ (							self):
												lowercase		      =		XLMProphetNetForConditionalGeneration.from_pretrained(
												    '''microsoft/xprophetnet-large-wiki100-cased-xglue-ntg''')
												model.to(A__)
												lowercase		      =		5_1_2

												lowercase		      =		XLMProphetNetTokenizer.from_pretrained('''microsoft/xprophetnet-large-wiki100-cased-xglue-ntg''')

												lowercase		      =		(
												    '''Microsoft Corporation intends to officially end free support for the Windows 7 operating system after'''
												    ''' January 14, 2020, according to the official portal of the organization. From that day, users of this'''
												    ''' system will not be able to receive security updates, which could make their computers vulnerable to'''
												    ''' cyber attacks.'''
												)
												lowercase		      =		(
												    '''орпорация Microsoft намерена официально прекратить бесплатную поддержку операционной системы Windows 7'''
												    ''' после 14 января 2020 года, сообщается на официальном портале организации . С указанного дня пользователи'''
												    ''' этой системы не смогут получать обновления безопасности, из-за чего их компьютеры могут стать уязвимыми'''
												    ''' к кибератакам.'''
												)
												lowercase		      =		(
												    '''根据该组织的官方门户网站，微软公司打算在2020年1月14日之后正式终止对Windows 7操作系统的免费支持。从那时起，该系统的用户将无法接收安全更新，这可能会使他们的计算机容易受到网络攻击。'''
												)

												lowercase		      =		tokenizer(
												    [EN_SENTENCE, RU_SENTENCE, ZH_SENTENCE]  ,padding=A__  ,max_length=2_5_5  ,return_tensors='''pt''').input_ids
												lowercase		      =		input_ids.to(A__)

												lowercase		      =		model.generate(
												    A__  ,num_beams=1_0  ,length_penalty=1.0  ,no_repeat_ngram_size=3  ,early_stopping=A__)
												lowercase		      =		[tokenizer.decode(A__  ,skip_special_tokens=A__) for g in summary_ids]
												lowercase		      =		'''Microsoft to end Windows 7 free support after January 14, 2020'''
												lowercase		      =		'''Microsoft намерена прекратить бесплатную поддержку Windows 7 после 14 января 2020 года'''
												lowercase		      =		'''微软打算终止对Windows 7操作系统的免费支持'''
												self.assertListEqual(
												    [EXPECTED_TITLE_EN, EXPECTED_TITLE_RU, EXPECTED_TITLE_ZH]  ,A__  ,)

												lowercase		      =		model.generate(
												    A__  ,num_beams=1  ,length_penalty=1.0  ,no_repeat_ngram_size=3  ,early_stopping=A__)
												lowercase		      =		[
												    tokenizer.convert_ids_to_tokens(A__  ,skip_special_tokens=A__) for g in summary_ids_beama
												]
												lowercase		      =		'''▁Microsoft ▁to ▁end ▁free ▁support ▁for ▁Windows ▁7'''.split(''' ''')
												lowercase		      =		'''▁Microsoft ▁намерен а ▁прекрати ть ▁бес плат ную ▁поддержку ▁Windows ▁7 ▁после ▁14 ▁января ▁2020 ▁года'''.split(
												    ''' ''')
												lowercase		      =		'''微软 公司 打算 终止 对 Windows ▁7 操作 系统的 免费 支持'''.split(''' ''')
												self.assertListEqual(
												    [EXPECTED_TITLE_EN_BEAM1_TOK, EXPECTED_TITLE_RU_BEAM1_TOK, EXPECTED_TITLE_ZH_BEAM1_TOK]  ,A__  ,)






import json
import os
import re
import unicodedata
from typing import Dict, List, Optional, Tuple

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


lowercase__						:Tuple					    =       logging.get_logger(__name__)

lowercase__						:List[str]					    =       {
    "src_vocab_file": "vocab-src.json",
    "tgt_vocab_file": "vocab-tgt.json",
    "merges_file": "merges.txt",
}

lowercase__						:List[str]					    =       {
    "src_vocab_file": {
        "stas/tiny-wmt19-en-de": "https://huggingface.co/stas/tiny-wmt19-en-de/resolve/main/vocab-src.json"
    },
    "tgt_vocab_file": {
        "stas/tiny-wmt19-en-de": "https://huggingface.co/stas/tiny-wmt19-en-de/resolve/main/vocab-tgt.json"
    },
    "merges_file": {"stas/tiny-wmt19-en-de": "https://huggingface.co/stas/tiny-wmt19-en-de/resolve/main/merges.txt"},
}

lowercase__						:Dict					    =       {"stas/tiny-wmt19-en-de": 1024}
lowercase__						:str					    =       {
    "stas/tiny-wmt19-en-de": {
        "langs": ["en", "de"],
        "model_max_length": 1024,
        "special_tokens_map_file": None,
        "full_tokenizer_file": None,
    }
}



def 			UpperCamelCase       (				lowerCAmelCase__						):
					'''simple docstring'''
					lowercase		      =		set()
					lowercase		      =		word[0]
					for char in word[1:]:
										pairs.add((prev_char, char)						)
										lowercase		      =		char
					return pairs



def 			UpperCamelCase       (				lowerCAmelCase__						):
					'''simple docstring'''
					lowercase		      =		text.replace('''，'''					,     ''','''						)
					lowercase		      =		re.sub(R'''。\s*'''					,     '''. '''					,     lowerCAmelCase__						)
					lowercase		      =		text.replace('''、'''					,     ''','''						)
					lowercase		      =		text.replace('''”'''					,     '''"'''						)
					lowercase		      =		text.replace('''“'''					,     '''"'''						)
					lowercase		      =		text.replace('''∶'''					,     ''':'''						)
					lowercase		      =		text.replace('''：'''					,     ''':'''						)
					lowercase		      =		text.replace('''？'''					,     '''?'''						)
					lowercase		      =		text.replace('''《'''					,     '''"'''						)
					lowercase		      =		text.replace('''》'''					,     '''"'''						)
					lowercase		      =		text.replace('''）'''					,     ''')'''						)
					lowercase		      =		text.replace('''！'''					,     '''!'''						)
					lowercase		      =		text.replace('''（'''					,     '''('''						)
					lowercase		      =		text.replace('''；'''					,     ''';'''						)
					lowercase		      =		text.replace('''１'''					,     '''1'''						)
					lowercase		      =		text.replace('''」'''					,     '''"'''						)
					lowercase		      =		text.replace('''「'''					,     '''"'''						)
					lowercase		      =		text.replace('''０'''					,     '''0'''						)
					lowercase		      =		text.replace('''３'''					,     '''3'''						)
					lowercase		      =		text.replace('''２'''					,     '''2'''						)
					lowercase		      =		text.replace('''５'''					,     '''5'''						)
					lowercase		      =		text.replace('''６'''					,     '''6'''						)
					lowercase		      =		text.replace('''９'''					,     '''9'''						)
					lowercase		      =		text.replace('''７'''					,     '''7'''						)
					lowercase		      =		text.replace('''８'''					,     '''8'''						)
					lowercase		      =		text.replace('''４'''					,     '''4'''						)
					lowercase		      =		re.sub(R'''．\s*'''					,     '''. '''					,     lowerCAmelCase__						)
					lowercase		      =		text.replace('''～'''					,     '''~'''						)
					lowercase		      =		text.replace('''’'''					,     '''\''''						)
					lowercase		      =		text.replace('''…'''					,     '''...'''						)
					lowercase		      =		text.replace('''━'''					,     '''-'''						)
					lowercase		      =		text.replace('''〈'''					,     '''<'''						)
					lowercase		      =		text.replace('''〉'''					,     '''>'''						)
					lowercase		      =		text.replace('''【'''					,     '''['''						)
					lowercase		      =		text.replace('''】'''					,     ''']'''						)
					lowercase		      =		text.replace('''％'''					,     '''%'''						)
					return text



def 			UpperCamelCase       (				lowerCAmelCase__						):
					'''simple docstring'''
					lowercase		      =		[]
					for char in text:
										lowercase		      =		unicodedata.category(lowerCAmelCase__						)
										if cat.startswith('''C'''						):
															continue
										output.append(lowerCAmelCase__						)
					return "".join(lowerCAmelCase__						)







class 							lowercase						(   SCREAMING_SNAKE_CASE__						):
							lowercase_			:			Any			   =VOCAB_FILES_NAMES
							lowercase_			:			List[str]			   =PRETRAINED_VOCAB_FILES_MAP
							lowercase_			:			Any			   =PRETRAINED_INIT_CONFIGURATION
							lowercase_			:			List[str]			   =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							lowercase_			:			Optional[Any]			   =['''input_ids''', '''attention_mask''']




							def __init__(							self  ,A__=None  ,A__=None  ,A__=None  ,A__=None  ,A__=False  ,A__="<unk>"  ,A__="<s>"  ,A__="</s>"  ,A__="<pad>"  ,**A__  ,):
												super().__init__(
												    langs=A__  ,src_vocab_file=A__  ,tgt_vocab_file=A__  ,merges_file=A__  ,do_lower_case=A__  ,unk_token=A__  ,bos_token=A__  ,sep_token=A__  ,pad_token=A__  ,**A__  ,)

												try:
																	import sacremoses
												except ImportError:
																	raise ImportError(
																	    '''You need to install sacremoses to use XLMTokenizer. '''
																	    '''See https://pypi.org/project/sacremoses/ for installation.''')

												lowercase		      =		sacremoses

												lowercase		      =		src_vocab_file
												lowercase		      =		tgt_vocab_file
												lowercase		      =		merges_file
												lowercase		      =		do_lower_case

												# cache of sm.MosesPunctNormalizer instance
												lowercase		      =		{}
												# cache of sm.MosesTokenizer instance
												lowercase		      =		{}
												lowercase		      =		{}

												if langs and len(A__) == 2:
																	lowercase      ,		lowercase		      =		langs
												else:
																	raise ValueError(
																	    f'arg `langs` needs to be a list of 2 langs, e.g. [\'en\', \'ru\'], but got {langs}. '
																	    '''Usually that means that tokenizer can\'t find a mapping for the given model path '''
																	    '''in PRETRAINED_VOCAB_FILES_MAP, and other maps of this tokenizer.''')

												with open(A__  ,encoding='''utf-8''') as src_vocab_handle:
																	lowercase		      =		json.load(A__)
												with open(A__  ,encoding='''utf-8''') as tgt_vocab_handle:
																	lowercase		      =		json.load(A__)
																	lowercase		      =		{v: k for k, v in tgt_vocab.items()}
												with open(A__  ,encoding='''utf-8''') as merges_handle:
																	lowercase		      =		merges_handle.read().split('''\n''')[:-1]
												lowercase		      =		[tuple(merge.split()[:2]) for merge in merges]
												lowercase		      =		dict(zip(A__  ,range(len(A__))))
												lowercase		      =		{}




							def 					A__ (							self):
												return self.get_src_vocab()




							@property
							def 					A__ (							self):
												return self.src_vocab_size




							def 					A__ (							self  ,A__  ,A__):
												if lang not in self.cache_moses_punct_normalizer:
																	lowercase		      =		self.sm.MosesPunctNormalizer(lang=A__)
																	lowercase		      =		punct_normalizer
												return self.cache_moses_punct_normalizer[lang].normalize(A__)




							def 					A__ (							self  ,A__  ,A__):
												if lang not in self.cache_moses_tokenizer:
																	lowercase		      =		self.sm.MosesTokenizer(lang=A__)
																	lowercase		      =		moses_tokenizer
												return self.cache_moses_tokenizer[lang].tokenize(
												    A__  ,aggressive_dash_splits=A__  ,return_str=A__  ,escape=A__)




							def 					A__ (							self  ,A__  ,A__):
												if lang not in self.cache_moses_detokenizer:
																	lowercase		      =		self.sm.MosesDetokenizer(lang=A__)
																	lowercase		      =		moses_detokenizer
												return self.cache_moses_detokenizer[lang].detokenize(A__)




							def 					A__ (							self  ,A__  ,A__):
												lowercase		      =		replace_unicode_punct(A__)
												lowercase		      =		self.moses_punct_norm(A__  ,A__)
												lowercase		      =		remove_non_printing_char(A__)
												return text




							@property
							def 					A__ (							self):
												return len(self.encoder)




							@property
							def 					A__ (							self):
												return len(self.decoder)




							def 					A__ (							self):
												return dict(self.encoder  ,**self.added_tokens_encoder)




							def 					A__ (							self):
												return dict(self.decoder  ,**self.added_tokens_decoder)




							def 					A__ (							self  ,A__):
												lowercase		      =		tuple(token[:-1]) + (token[-1] + '''</w>''',)
												if token in self.cache:
																	return self.cache[token]
												lowercase		      =		get_pairs(A__)

												if not pairs:
																	return token + "</w>"

												while True:
																	lowercase		      =		min(A__  ,key=lambda A__: self.bpe_ranks.get(A__  ,float('''inf''')))
																	if bigram not in self.bpe_ranks:
																						break
																	lowercase      ,		lowercase		      =		bigram
																	lowercase		      =		[]
																	lowercase		      =		0
																	while i < len(A__):
																						try:
																											lowercase		      =		word.index(A__  ,A__)
																						except ValueError:
																											new_word.extend(word[i:])
																											break
																						else:
																											new_word.extend(word[i:j])
																											lowercase		      =		j

																						if word[i] == first and i < len(A__) - 1 and word[i + 1] == second:
																											new_word.append(first + second)
																											i += 2
																						else:
																											new_word.append(word[i])
																											i += 1
																	lowercase		      =		tuple(A__)
																	lowercase		      =		new_word
																	if len(A__) == 1:
																						break
																	else:
																						lowercase		      =		get_pairs(A__)
												lowercase		      =		''' '''.join(A__)
												if word == "\n  </w>":
																	lowercase		      =		'''\n</w>'''
												lowercase		      =		word
												return word




							def 					A__ (							self  ,A__  ,A__="en"  ,A__=False):
												lowercase		      =		self.src_lang

												if self.do_lower_case:
																	lowercase		      =		text.lower()

												if bypass_tokenizer:
																	lowercase		      =		text.split()
												else:
																	lowercase		      =		self.moses_pipeline(A__  ,lang=A__)
																	lowercase		      =		self.moses_tokenize(A__  ,lang=A__)

												lowercase		      =		[]
												for token in text:
																	if token:
																						split_tokens.extend(list(self.bpe(A__).split(''' ''')))

												return split_tokens




							def 					A__ (							self  ,A__):
												return self.encoder.get(A__  ,self.encoder.get(self.unk_token))




							def 					A__ (							self  ,A__):
												return self.decoder.get(A__  ,self.unk_token)




							def 					A__ (							self  ,A__):
												lowercase		      =		[t.replace(''' '''  ,'''''').replace('''</w>'''  ,''' ''') for t in tokens]
												lowercase		      =		''''''.join(A__).split()
												# detokenize
												lowercase		      =		self.moses_detokenize(A__  ,self.tgt_lang)
												return text




							def 					A__ (							self  ,A__  ,A__ = None):
												lowercase		      =		[self.sep_token_id]

												# no bos used in fairseq
												if token_ids_a is None:
																	return token_ids_a + sep
												return token_ids_a + sep + token_ids_a + sep




							def 					A__ (							self  ,A__  ,A__ = None  ,A__ = False):

												if already_has_special_tokens:
																	return super().get_special_tokens_mask(
																	    token_ids_a=A__  ,token_ids_a=A__  ,already_has_special_tokens=A__)
												# no bos used in fairseq
												if token_ids_a is not None:
																	return ([0] * len(A__)) + [1] + ([0] * len(A__)) + [1]
												return ([0] * len(A__)) + [1]




							def 					A__ (							self  ,A__  ,A__ = None):
												lowercase		      =		[self.sep_token_id]

												# no bos used in fairseq
												if token_ids_a is None:
																	return len(token_ids_a + sep) * [0]
												return len(token_ids_a + sep) * [0] + len(token_ids_a + sep) * [1]




							def 					A__ (							self  ,A__  ,A__ = None):
												if not os.path.isdir(A__):
																	logger.error(f'Vocabulary path ({save_directory}) should be a directory')
																	return

												lowercase		      =		os.path.join(
												    A__  ,(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''src_vocab_file'''])
												lowercase		      =		os.path.join(
												    A__  ,(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''tgt_vocab_file'''])
												lowercase		      =		os.path.join(
												    A__  ,(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file'''])

												with open(A__  ,'''w'''  ,encoding='''utf-8''') as f:
																	f.write(json.dumps(self.encoder  ,indent=2  ,sort_keys=A__  ,ensure_ascii=A__) + '''\n''')

												with open(A__  ,'''w'''  ,encoding='''utf-8''') as f:
																	lowercase		      =		{v: k for k, v in self.decoder.items()}
																	f.write(json.dumps(A__  ,indent=2  ,sort_keys=A__  ,ensure_ascii=A__) + '''\n''')

												lowercase		      =		0
												with open(A__  ,'''w'''  ,encoding='''utf-8''') as writer:
																	for bpe_tokens, token_index in sorted(self.bpe_ranks.items()  ,key=lambda A__: kv[1]):
																						if index != token_index:
																											logger.warning(
																											    f'Saving vocabulary to {merges_file}: BPE merge indices are not consecutive.'
																											    ''' Please check that the tokenizer is not corrupted!''')
																											lowercase		      =		token_index
																						writer.write(''' '''.join(A__) + '''\n''')
																						index += 1

												return src_vocab_file, tgt_vocab_file, merges_file




							def __getstate__(							self):
												lowercase		      =		self.__dict__.copy()
												lowercase		      =		None
												return state





							def __setstate__(							self  ,A__):
												lowercase		      =		d

												try:
																	import sacremoses
												except ImportError:
																	raise ImportError(
																	    '''You need to install sacremoses to use XLMTokenizer. '''
																	    '''See https://pypi.org/project/sacremoses/ for installation.''')

												lowercase		      =		sacremoses




