
import unittest

from transformers import (
    MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,
    TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,
    SummarizationPipeline,
    TFPreTrainedModel,
    pipeline,
)
from transformers.testing_utils import get_gpu_count, is_pipeline_test, require_tf, require_torch, slow, torch_device
from transformers.tokenization_utils import TruncationStrategy

from .test_pipelines_common import ANY


__SCREAMING_SNAKE_CASE			:   Optional[Any]         =     -1 if torch_device == 'cpu' else 0


@is_pipeline_test
class 		__magic_name__   (						unittest.TestCase    ):
		_lowerCAmelCase		=	MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING
		_lowerCAmelCase		=	TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING





		def       _A							(							self    :	Union[str, Any]						,  lowerCamelCase__    :	Union[str, Any]						,  lowerCamelCase__    :	Optional[int]						,  lowerCamelCase__    :	Dict				):
							lowerCAmelCase		:					Optional[Any]  	=     SummarizationPipeline(model=lowerCamelCase__						,  tokenizer=lowerCamelCase__				)
							return summarizer, ["(CNN)The Palestinian Authority officially became", "Some other text"]





		def       _A							(							self    :	int						,  lowerCamelCase__    :	Optional[int]						,  lowerCamelCase__    :	List[Any]				):
							lowerCAmelCase		:					Dict  	=     summarizer.model

							lowerCAmelCase		:					Optional[Any]  	=     summarizer('''(CNN)The Palestinian Authority officially became'''				)
							self.assertEqual(lowerCamelCase__						,  [{'''summary_text''': ANY(lowerCamelCase__				)}]				)

							lowerCAmelCase		:					str  	=     summarizer(
							    '''(CNN)The Palestinian Authority officially became '''						,  num_beams=2						,  min_length=2						,  max_length=5						,  )
							self.assertEqual(lowerCamelCase__						,  [{'''summary_text''': ANY(lowerCamelCase__				)}]				)

							# Some models (Switch Transformers, LED, T5, LongT5, etc) can handle long sequences.
							lowerCAmelCase		:					Any  	=     [
							    '''SwitchTransformersConfig''',
							    '''T5Config''',
							    '''LongT5Config''',
							    '''LEDConfig''',
							    '''PegasusXConfig''',
							    '''FSMTConfig''',
							    '''M2M100Config''',
							    '''ProphetNetConfig''',  # positional embeddings up to a fixed maximum size (otherwise clamping the values)
							]
							if model.config.__class__.__name__ not in model_can_handle_longer_seq:
												# Too long and exception is expected.
												# For TF models, if the weights are initialized in GPU context, we won't get expected index error from
												# the embedding layer.
												if not (
												    isinstance(lowerCamelCase__						,  lowerCamelCase__				)
												    and get_gpu_count() > 0
												    and len(summarizer.model.trainable_weights				) > 0
												):
																	with self.assertRaises(lowerCamelCase__				):
																						lowerCAmelCase		:					int  	=     summarizer('''This ''' * 1_0_0_0				)
							lowerCAmelCase		:					Any  	=     summarizer('''This ''' * 1_0_0_0						,  truncation=TruncationStrategy.ONLY_FIRST				)





		@require_torch
		def       _A							(							self    :	int				):
							lowerCAmelCase		:					List[Any]  	=     pipeline(task='''summarization'''						,  model='''sshleifer/tiny-mbart'''						,  framework='''pt'''				)
							lowerCAmelCase		:					Any  	=     summarizer('''This is a small test'''				)
							self.assertEqual(
							    lowerCamelCase__						,  [
							        {
							            '''summary_text''': '''เข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไป'''
							        }
							    ]						,  )





		@require_tf
		def       _A							(							self    :	List[Any]				):
							lowerCAmelCase		:					str  	=     pipeline(task='''summarization'''						,  model='''sshleifer/tiny-mbart'''						,  framework='''tf'''				)
							lowerCAmelCase		:					Optional[Any]  	=     summarizer('''This is a small test'''				)
							self.assertEqual(
							    lowerCamelCase__						,  [
							        {
							            '''summary_text''': '''เข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไป'''
							        }
							    ]						,  )





		@require_torch
		@slow
		def       _A							(							self    :	Any				):
							lowerCAmelCase		:					Dict  	=     pipeline(task='''summarization'''						,  device=lowerCamelCase__				)
							lowerCAmelCase		:					Union[str, Any]  	=     (
							    ''' (CNN)The Palestinian Authority officially became the 123rd member of the International Criminal Court on'''
							    ''' Wednesday, a step that gives the court jurisdiction over alleged crimes in Palestinian territories. The'''
							    ''' formal accession was marked with a ceremony at The Hague, in the Netherlands, where the court is based.'''
							    ''' The Palestinians signed the ICC\'s founding Rome Statute in January, when they also accepted its'''
							    ''' jurisdiction over alleged crimes committed "in the occupied Palestinian territory, including East'''
							    ''' Jerusalem, since June 13, 2014." Later that month, the ICC opened a preliminary examination into the'''
							    ''' situation in Palestinian territories, paving the way for possible war crimes investigations against'''
							    ''' Israelis. As members of the court, Palestinians may be subject to counter-charges as well. Israel and'''
							    ''' the United States, neither of which is an ICC member, opposed the Palestinians\' efforts to join the'''
							    ''' body. But Palestinian Foreign Minister Riad al-Malki, speaking at Wednesday\'s ceremony, said it was a'''
							    ''' move toward greater justice. "As Palestine formally becomes a State Party to the Rome Statute today, the'''
							    ''' world is also a step closer to ending a long era of impunity and injustice," he said, according to an'''
							    ''' ICC news release. "Indeed, today brings us closer to our shared goals of justice and peace." Judge'''
							    ''' Kuniko Ozaki, a vice president of the ICC, said acceding to the treaty was just the first step for the'''
							    ''' Palestinians. "As the Rome Statute today enters into force for the State of Palestine, Palestine'''
							    ''' acquires all the rights as well as responsibilities that come with being a State Party to the Statute.'''
							    ''' These are substantive commitments, which cannot be taken lightly," she said. Rights group Human Rights'''
							    ''' Watch welcomed the development. "Governments seeking to penalize Palestine for joining the ICC should'''
							    ''' immediately end their pressure, and countries that support universal acceptance of the court\'s treaty'''
							    ''' should speak out to welcome its membership," said Balkees Jarrah, international justice counsel for the'''
							    ''' group. \"What\'s objectionable is the attempts to undermine international justice, not Palestine\'s'''
							    ''' decision to join a treaty to which over 100 countries around the world are members." In January, when'''
							    ''' the preliminary ICC examination was opened, Israeli Prime Minister Benjamin Netanyahu described it as an'''
							    ''' outrage, saying the court was overstepping its boundaries. The United States also said it "strongly"'''
							    ''' disagreed with the court\'s decision. \"As we have said repeatedly, we do not believe that Palestine is a'''
							    ''' state and therefore we do not believe that it is eligible to join the ICC," the State Department said in'''
							    ''' a statement. It urged the warring sides to resolve their differences through direct negotiations. "We'''
							    ''' will continue to oppose actions against Israel at the ICC as counterproductive to the cause of peace,"'''
							    ''' it said. But the ICC begs to differ with the definition of a state for its purposes and refers to the'''
							    ''' territories as "Palestine." While a preliminary examination is not a formal investigation, it allows the'''
							    ''' court to review evidence and determine whether to investigate suspects on both sides. Prosecutor Fatou'''
							    ''' Bensouda said her office would "conduct its analysis in full independence and impartiality." The war'''
							    ''' between Israel and Hamas militants in Gaza last summer left more than 2,000 people dead. The inquiry'''
							    ''' will include alleged war crimes committed since June. The International Criminal Court was set up in'''
							    ''' 2002 to prosecute genocide, crimes against humanity and war crimes. CNN\'s Vasco Cotovio, Kareem Khadder'''
							    ''' and Faith Karimi contributed to this report.'''
							)
							lowerCAmelCase		:					int  	=     (
							    ''' The Palestinian Authority becomes the 123rd member of the International Criminal Court . The move gives'''
							    ''' the court jurisdiction over alleged crimes in Palestinian territories . Israel and the United States'''
							    ''' opposed the Palestinians\' efforts to join the court . Rights group Human Rights Watch welcomes the move,'''
							    ''' says governments seeking to penalize Palestine should end pressure .'''
							)
							lowerCAmelCase		:					str  	=     summarizer(lowerCamelCase__				)
							self.assertEqual(result[0]['''summary_text''']						,  lowerCamelCase__				)


import os
from shutil import copyfile
from typing import TYPE_CHECKING, Optional, Tuple

from tokenizers import processors

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging
from ...utils.versions import require_version


if TYPE_CHECKING:
		from transformers.pipelines.conversational import Conversation

require_version('tokenizers>=0.13.3')

if is_sentencepiece_available():
		from .tokenization_llama import LlamaTokenizer
else:
		__SCREAMING_SNAKE_CASE			:   int         =     None

__SCREAMING_SNAKE_CASE			:   List[Any]         =     logging.get_logger(__name__)
__SCREAMING_SNAKE_CASE			:   Optional[int]         =     {'vocab_file': 'tokenizer.model', 'tokenizer_file': 'tokenizer.json'}

__SCREAMING_SNAKE_CASE     ,				__SCREAMING_SNAKE_CASE			:   Dict         =     '[INST]', '[/INST]'
__SCREAMING_SNAKE_CASE     ,				__SCREAMING_SNAKE_CASE			:   List[Any]         =     '<<SYS>>\n', '\n<</SYS>>\n\n'

# fmt: off
__SCREAMING_SNAKE_CASE			:   List[Any]         =     'You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your\\nanswers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure\\nthat your responses are socially unbiased and positive in nature.\n\nIf a question does not make any sense, or is not factually coherent, explain why instead of answering something not\\ncorrect. If you don\'t know the answer to a question, please don\'t share false information.'


class 		__magic_name__   (						snake_case    ):
		_lowerCAmelCase		=	VOCAB_FILES_NAMES
		_lowerCAmelCase		=	LlamaTokenizer
		_lowerCAmelCase		=	"left"
		_lowerCAmelCase		=	["input_ids", "attention_mask"]





		def __init__(							self    :	List[Any]						,  lowerCamelCase__    :	int=None						,  lowerCamelCase__    :	Union[str, Any]=None						,  lowerCamelCase__    :	List[str]=False						,  lowerCamelCase__    :	int="<unk>"						,  lowerCamelCase__    :	int="<s>"						,  lowerCamelCase__    :	str="</s>"						,  lowerCamelCase__    :	Optional[Any]=True						,  lowerCamelCase__    :	int=False						,  **lowerCamelCase__    :	List[str]						,  ):
							super().__init__(
							    vocab_file=lowerCamelCase__						,  tokenizer_file=lowerCamelCase__						,  clean_up_tokenization_spaces=lowerCamelCase__						,  unk_token=lowerCamelCase__						,  bos_token=lowerCamelCase__						,  eos_token=lowerCamelCase__						,  **lowerCamelCase__						,  )
							lowerCAmelCase		:					Optional[int]  	=     add_bos_token
							lowerCAmelCase		:					int  	=     add_eos_token
							self.update_post_processor()

							lowerCAmelCase		:					List[Any]  	=     vocab_file
							lowerCAmelCase		:					List[str]  	=     False if not self.vocab_file else True





		def       _A							(							self    :	Tuple				):
							lowerCAmelCase		:					List[str]  	=     self.bos_token
							lowerCAmelCase		:					Optional[Any]  	=     self.bos_token_id

							lowerCAmelCase		:					Optional[Any]  	=     self.eos_token
							lowerCAmelCase		:					List[str]  	=     self.eos_token_id

							lowerCAmelCase		:					Dict  	=     f'''{(bos+":0 ") * self.add_bos_token}$A:0{(" "+eos+":0") * self.add_eos_token}'''
							lowerCAmelCase		:					Optional[int]  	=     f'''{single}{(" "+bos+":1") * self.add_bos_token} $B:1{(" "+eos+":1") * self.add_eos_token}'''

							lowerCAmelCase		:					Any  	=     []
							if self.add_bos_token:
												special_tokens.append((bos, bos_token_id)				)
							if self.add_eos_token:
												special_tokens.append((eos, eos_token_id)				)
							lowerCAmelCase		:					Union[str, Any]  	=     processors.TemplateProcessing(
							    single=lowerCamelCase__						,  pair=lowerCamelCase__						,  special_tokens=lowerCamelCase__				)





		@property
		def       _A							(							self    :	str				):
							return self._add_eos_token





		@property
		def       _A							(							self    :	Dict				):
							return self._add_bos_token





		@add_eos_token.setter
		def       _A							(							self    :	Union[str, Any]						,  lowerCamelCase__    :	str				):
							lowerCAmelCase		:					Any  	=     value
							self.update_post_processor()





		@add_bos_token.setter
		def       _A							(							self    :	Dict						,  lowerCamelCase__    :	Optional[Any]				):
							lowerCAmelCase		:					List[Any]  	=     value
							self.update_post_processor()





		def       _A							(							self    :	int						,  lowerCamelCase__    :	str						,  lowerCamelCase__    :	Optional[str] = None				):
							if not self.can_save_slow_tokenizer:
												raise ValueError(
												    '''Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '''
												    '''tokenizer.'''				)

							if not os.path.isdir(lowerCamelCase__				):
												logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''				)
												return
							lowerCAmelCase		:					str  	=     os.path.join(
							    lowerCamelCase__						,  (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']				)

							if os.path.abspath(self.vocab_file				) != os.path.abspath(lowerCamelCase__				):
												copyfile(self.vocab_file						,  lowerCamelCase__				)

							return (out_vocab_file,)





		def       _A							(							self    :	Any						,  lowerCamelCase__    :	"Conversation"				):
							lowerCAmelCase		:					int  	=     list(conversation.iter_texts()				)
							if not all([is_user for is_user, msg in dialogue[::2]]				) or not all(
							    [not is_user for is_user, msg in dialogue[1::2]]				):
												raise ValueError(
												    '''The model only supports \'user\' and \'assistant\' roles, starting with user and alternating (u/a/u/a/u...)'''				)

							lowerCAmelCase		:					List[str]  	=     []
							if len(conversation.past_user_inputs				) > 0:
												if not conversation.past_user_inputs[0].startswith(lowerCamelCase__				) or E_SYS not in conversation.past_user_inputs[0]:
																	lowerCAmelCase		:					Tuple  	=     (
																	    B_SYS + DEFAULT_SYSTEM_PROMPT + E_SYS + conversation.past_user_inputs[0]
																	)
							elif not dialogue[0][1].startswith(lowerCamelCase__				) or E_SYS not in dialogue[0][1]:
												lowerCAmelCase		:					Optional[Any]  	=     (dialogue[0][0], B_SYS + DEFAULT_SYSTEM_PROMPT + E_SYS + dialogue[0][1])

							dialog_tokens += sum(
							    [
							        [self.bos_token_id]
							        + self.encode(
							            f'''{B_INST} {(prompt[1]).strip()} {E_INST} {(answer[1]).strip()} '''						,  add_special_tokens=lowerCamelCase__				)
							        + [self.eos_token_id]
							        for prompt, answer in zip(dialogue[::2]						,  dialogue[1::2]				)
							    ]						,  []						,  )
							if not (dialogue[-1][0]):
												raise ValueError(f'''Last message must be from user, got {dialogue[-1]["role"]}'''				)
							dialog_tokens += [self.bos_token_id] + self.encode(
							    f'''{B_INST} {(dialogue[-1][1]).strip()} {E_INST}'''						,  add_special_tokens=lowerCamelCase__				)
							return dialog_tokens
