



import json
import os
import shutil
import tempfile
import unittest

import numpy as np
import pytest

from transformers import CLIPTokenizer, CLIPTokenizerFast
from transformers.models.clip.tokenization_clip import VOCAB_FILES_NAMES
from transformers.testing_utils import require_vision
from transformers.utils import IMAGE_PROCESSOR_NAME, is_vision_available


if is_vision_available():
				from PIL import Image

				from transformers import CLIPSegProcessor, ViTImageProcessor


@require_vision
class       a							(			unittest.TestCase				):



		def 	__lowerCamelCase			(     self     :List[Any]  ):
						snake_case__	:      List[Any]     		=	tempfile.mkdtemp()

						# fmt: off
						snake_case__	:      List[Any]     		=	['''l''', '''o''', '''w''', '''e''', '''r''', '''s''', '''t''', '''i''', '''d''', '''n''', '''lo''', '''l</w>''', '''w</w>''', '''r</w>''', '''t</w>''', '''low</w>''', '''er</w>''', '''lowest</w>''', '''newer</w>''', '''wider''', '''<unk>''', '''<|startoftext|>''', '''<|endoftext|>''']
						# fmt: on
						snake_case__	:      int     		=	dict(zip(__lowercase   ,range(len(__lowercase  )  )  )  )
						snake_case__	:      Optional[Any]     		=	['''#version: 0.2''', '''l o''', '''lo w</w>''', '''e r</w>''', '''''']
						snake_case__	:      Any     		=	{'''unk_token''': '''<unk>'''}

						snake_case__	:      str     		=	os.path.join(self.tmpdirname   ,VOCAB_FILES_NAMES['''vocab_file''']  )
						snake_case__	:      List[str]     		=	os.path.join(self.tmpdirname   ,VOCAB_FILES_NAMES['''merges_file''']  )
						with open(self.vocab_file   ,'''w'''   ,encoding='''utf-8'''  ) as fp:
										fp.write(json.dumps(__lowercase  ) + '''\n'''  )
						with open(self.merges_file   ,'''w'''   ,encoding='''utf-8'''  ) as fp:
										fp.write('''\n'''.join(__lowercase  )  )

						snake_case__	:      Dict     		=	{
						    '''do_resize''': True,
						    '''size''': 2_0,
						    '''do_center_crop''': True,
						    '''crop_size''': 1_8,
						    '''do_normalize''': True,
						    '''image_mean''': [0.4814_5466, 0.457_8275, 0.4082_1073],
						    '''image_std''': [0.2686_2954, 0.2613_0258, 0.2757_7711],
						}
						snake_case__	:      str     		=	os.path.join(self.tmpdirname   ,__lowercase  )
						with open(self.image_processor_file   ,'''w'''   ,encoding='''utf-8'''  ) as fp:
										json.dump(__lowercase   ,__lowercase  )



		def 	__lowerCamelCase			(     self     :Union[str, Any]   ,**__lowercase     :Dict  ):
						return CLIPTokenizer.from_pretrained(self.tmpdirname   ,**__lowercase  )



		def 	__lowerCamelCase			(     self     :Optional[int]   ,**__lowercase     :int  ):
						return CLIPTokenizerFast.from_pretrained(self.tmpdirname   ,**__lowercase  )



		def 	__lowerCamelCase			(     self     :Optional[Any]   ,**__lowercase     :Dict  ):
						return ViTImageProcessor.from_pretrained(self.tmpdirname   ,**__lowercase  )



		def 	__lowerCamelCase			(     self     :int  ):
						shutil.rmtree(self.tmpdirname  )



		def 	__lowerCamelCase			(     self     :Any  ):
						snake_case__	:      str     		=	[np.random.randint(2_5_5   ,size=(3, 3_0, 4_0_0)   ,dtype=np.uinta  )]

						snake_case__	:      str     		=	[Image.fromarray(np.moveaxis(__lowercase   ,0   ,-1  )  ) for x in image_inputs]

						return image_inputs



		def 	__lowerCamelCase			(     self     :Dict  ):
						snake_case__	:      Optional[Any]     		=	self.get_tokenizer()
						snake_case__	:      Dict     		=	self.get_rust_tokenizer()
						snake_case__	:      Tuple     		=	self.get_image_processor()

						snake_case__	:      Optional[int]     		=	CLIPSegProcessor(tokenizer=__lowercase   ,image_processor=__lowercase  )
						processor_slow.save_pretrained(self.tmpdirname  )
						snake_case__	:      Optional[Any]     		=	CLIPSegProcessor.from_pretrained(self.tmpdirname   ,use_fast=__lowercase  )

						snake_case__	:      Tuple     		=	CLIPSegProcessor(tokenizer=__lowercase   ,image_processor=__lowercase  )
						processor_fast.save_pretrained(self.tmpdirname  )
						snake_case__	:      Union[str, Any]     		=	CLIPSegProcessor.from_pretrained(self.tmpdirname  )

						self.assertEqual(processor_slow.tokenizer.get_vocab()   ,tokenizer_slow.get_vocab()  )
						self.assertEqual(processor_fast.tokenizer.get_vocab()   ,tokenizer_fast.get_vocab()  )
						self.assertEqual(tokenizer_slow.get_vocab()   ,tokenizer_fast.get_vocab()  )
						self.assertIsInstance(processor_slow.tokenizer   ,__lowercase  )
						self.assertIsInstance(processor_fast.tokenizer   ,__lowercase  )

						self.assertEqual(processor_slow.image_processor.to_json_string()   ,image_processor.to_json_string()  )
						self.assertEqual(processor_fast.image_processor.to_json_string()   ,image_processor.to_json_string()  )
						self.assertIsInstance(processor_slow.image_processor   ,__lowercase  )
						self.assertIsInstance(processor_fast.image_processor   ,__lowercase  )



		def 	__lowerCamelCase			(     self     :str  ):
						snake_case__	:      Any     		=	CLIPSegProcessor(tokenizer=self.get_tokenizer()   ,image_processor=self.get_image_processor()  )
						processor.save_pretrained(self.tmpdirname  )

						snake_case__	:      Union[str, Any]     		=	self.get_tokenizer(bos_token='''(BOS)'''   ,eos_token='''(EOS)'''  )
						snake_case__	:      int     		=	self.get_image_processor(do_normalize=__lowercase   ,padding_value=1.0  )

						snake_case__	:      str     		=	CLIPSegProcessor.from_pretrained(
						    self.tmpdirname   ,bos_token='''(BOS)'''   ,eos_token='''(EOS)'''   ,do_normalize=__lowercase   ,padding_value=1.0  )

						self.assertEqual(processor.tokenizer.get_vocab()   ,tokenizer_add_kwargs.get_vocab()  )
						self.assertIsInstance(processor.tokenizer   ,__lowercase  )

						self.assertEqual(processor.image_processor.to_json_string()   ,image_processor_add_kwargs.to_json_string()  )
						self.assertIsInstance(processor.image_processor   ,__lowercase  )



		def 	__lowerCamelCase			(     self     :Optional[int]  ):
						snake_case__	:      List[str]     		=	self.get_image_processor()
						snake_case__	:      int     		=	self.get_tokenizer()

						snake_case__	:      Tuple     		=	CLIPSegProcessor(tokenizer=__lowercase   ,image_processor=__lowercase  )

						snake_case__	:      Dict     		=	self.prepare_image_inputs()

						snake_case__	:      List[Any]     		=	image_processor(__lowercase   ,return_tensors='''np'''  )
						snake_case__	:      List[str]     		=	processor(images=__lowercase   ,return_tensors='''np'''  )

						for key in input_feat_extract.keys():
										self.assertAlmostEqual(input_feat_extract[key].sum()   ,input_processor[key].sum()   ,delta=1e-2  )



		def 	__lowerCamelCase			(     self     :str  ):
						snake_case__	:      int     		=	self.get_image_processor()
						snake_case__	:      Optional[int]     		=	self.get_tokenizer()

						snake_case__	:      Tuple     		=	CLIPSegProcessor(tokenizer=__lowercase   ,image_processor=__lowercase  )

						snake_case__	:      Tuple     		=	'''lower newer'''

						snake_case__	:      Tuple     		=	processor(text=__lowercase  )

						snake_case__	:      List[Any]     		=	tokenizer(__lowercase  )

						for key in encoded_tok.keys():
										self.assertListEqual(encoded_tok[key]   ,encoded_processor[key]  )



		def 	__lowerCamelCase			(     self     :Dict  ):
						snake_case__	:      Optional[int]     		=	self.get_image_processor()
						snake_case__	:      Optional[Any]     		=	self.get_tokenizer()

						snake_case__	:      Union[str, Any]     		=	CLIPSegProcessor(tokenizer=__lowercase   ,image_processor=__lowercase  )

						snake_case__	:      Optional[Any]     		=	'''lower newer'''
						snake_case__	:      Any     		=	self.prepare_image_inputs()

						snake_case__	:      Union[str, Any]     		=	processor(text=__lowercase   ,images=__lowercase  )

						self.assertListEqual(list(inputs.keys()  )   ,['''input_ids''', '''attention_mask''', '''pixel_values''']  )

						# test if it raises when no input is passed
						with pytest.raises(__lowercase  ):
										processor()



		def 	__lowerCamelCase			(     self     :Tuple  ):
						snake_case__	:      str     		=	self.get_image_processor()
						snake_case__	:      Optional[int]     		=	self.get_tokenizer()

						snake_case__	:      int     		=	CLIPSegProcessor(tokenizer=__lowercase   ,image_processor=__lowercase  )

						snake_case__	:      List[Any]     		=	self.prepare_image_inputs()
						snake_case__	:      Tuple     		=	self.prepare_image_inputs()

						snake_case__	:      List[str]     		=	processor(images=__lowercase   ,visual_prompt=__lowercase  )

						self.assertListEqual(list(inputs.keys()  )   ,['''pixel_values''', '''conditional_pixel_values''']  )

						# test if it raises when no input is passed
						with pytest.raises(__lowercase  ):
										processor()






		def 	__lowerCamelCase			(     self     :List[str]  ):
						snake_case__	:      Tuple     		=	self.get_image_processor()
						snake_case__	:      List[Any]     		=	self.get_tokenizer()

						snake_case__	:      Tuple     		=	CLIPSegProcessor(tokenizer=__lowercase   ,image_processor=__lowercase  )

						snake_case__	:      List[Any]     		=	[[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

						snake_case__	:      Dict     		=	processor.batch_decode(__lowercase  )
						snake_case__	:      int     		=	tokenizer.batch_decode(__lowercase  )

						self.assertListEqual(__lowercase   ,__lowercase  )






import os
import unicodedata
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import SPIECE_UNDERLINE, logging


A__								=						logging.get_logger(__name__)

A__								=						{'''vocab_file''': '''spiece.model'''}

A__								=						{
    '''vocab_file''': {
        '''TsinghuaAI/CPM-Generate''': '''https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/spiece.model''',
    }
}


class       a							(			__lowerCamelCase				):



		def __init__(     self     :Union[str, Any]   ,__lowercase     :Optional[Any]   ,__lowercase     :int=False   ,__lowercase     :int=True   ,__lowercase     :Optional[int]=False   ,__lowercase     :List[str]="<s>"   ,__lowercase     :str="</s>"   ,__lowercase     :Dict="<unk>"   ,__lowercase     :Optional[int]="<sep>"   ,__lowercase     :Tuple="<pad>"   ,__lowercase     :Union[str, Any]="<cls>"   ,__lowercase     :Dict="<mask>"   ,__lowercase     :List[Any]=["<eop>", "<eod>"]   ,__lowercase     :Optional[Dict[str, Any]] = None   ,**__lowercase     :int   ,):
						snake_case__	:      Any     		=	AddedToken(__lowercase   ,lstrip=__lowercase   ,rstrip=__lowercase  ) if isinstance(__lowercase   ,__lowercase  ) else mask_token

						snake_case__	:      Tuple     		=	{} if sp_model_kwargs is None else sp_model_kwargs

						super().__init__(
						    do_lower_case=__lowercase   ,remove_space=__lowercase   ,keep_accents=__lowercase   ,bos_token=__lowercase   ,eos_token=__lowercase   ,unk_token=__lowercase   ,sep_token=__lowercase   ,pad_token=__lowercase   ,cls_token=__lowercase   ,mask_token=__lowercase   ,additional_special_tokens=__lowercase   ,sp_model_kwargs=self.sp_model_kwargs   ,**__lowercase   ,)

						snake_case__	:      Optional[Any]     		=	3

						snake_case__	:      List[str]     		=	do_lower_case
						snake_case__	:      Union[str, Any]     		=	remove_space
						snake_case__	:      Tuple     		=	keep_accents
						snake_case__	:      List[str]     		=	vocab_file

						snake_case__	:      Optional[Any]     		=	spm.SentencePieceProcessor(**self.sp_model_kwargs  )
						self.sp_model.Load(__lowercase  )

						try:
										import jieba
						except ModuleNotFoundError as error:
										raise error.__class__(
										    '''You need to install jieba to use CpmTokenizer or CpmTokenizerFast. '''
										    '''See https://pypi.org/project/jieba/ for installation.'''  )
						snake_case__	:      List[Any]     		=	jieba
						snake_case__	:      Union[str, Any]     		=	str.maketrans(''' \n'''   ,'''\u2582\u2583'''  )



		@property
		# Copied from transformers.models.xlnet.tokenization_xlnet.XLNetTokenizer.vocab_size
		def 	__lowerCamelCase			(     self     :Union[str, Any]  ):
						return len(self.sp_model  )



		def 	__lowerCamelCase			(     self     :Any  ):
						snake_case__	:      Optional[Any]     		=	{self.convert_ids_to_tokens(__lowercase  ): i for i in range(self.vocab_size  )}
						vocab.update(self.added_tokens_encoder  )
						return vocab



		def __getstate__(     self     :List[str]  ):
						snake_case__	:      Optional[Any]     		=	self.__dict__.copy()
						snake_case__	:      Optional[int]     		=	None
						return state



		def __setstate__(     self     :int   ,__lowercase     :str  ):
						snake_case__	:      Tuple     		=	d

						# for backward compatibility
						if not hasattr(self   ,'''sp_model_kwargs'''  ):
										snake_case__	:      List[Any]     		=	{}

						snake_case__	:      List[Any]     		=	spm.SentencePieceProcessor(**self.sp_model_kwargs  )
						self.sp_model.Load(self.vocab_file  )



		def 	__lowerCamelCase			(     self     :Dict   ,__lowercase     :Optional[int]  ):
						if self.remove_space:
										snake_case__	:      int     		=	''' '''.join(inputs.strip().split()  )
						else:
										snake_case__	:      Tuple     		=	inputs
						snake_case__	:      List[Any]     		=	outputs.replace('''``'''   ,'''"'''  ).replace('''\'\''''   ,'''"'''  )

						if not self.keep_accents:
										snake_case__	:      Any     		=	unicodedata.normalize('''NFKD'''   ,__lowercase  )
										snake_case__	:      Dict     		=	''''''.join([c for c in outputs if not unicodedata.combining(__lowercase  )]  )
						if self.do_lower_case:
										snake_case__	:      str     		=	outputs.lower()

						return outputs



		def 	__lowerCamelCase			(     self     :Optional[Any]   ,__lowercase     :str  ):
						snake_case__	:      Dict     		=	self.preprocess_text(__lowercase  )
						snake_case__	:      Any     		=	self.sp_model.encode(__lowercase   ,out_type=__lowercase  )
						snake_case__	:      List[str]     		=	[]
						for piece in pieces:
										if len(__lowercase  ) > 1 and piece[-1] == str(''','''  ) and piece[-2].isdigit():
														snake_case__	:      Union[str, Any]     		=	self.sp_model.EncodeAsPieces(piece[:-1].replace(__lowercase   ,''''''  )  )
														if piece[0] != SPIECE_UNDERLINE and cur_pieces[0][0] == SPIECE_UNDERLINE:
																		if len(cur_pieces[0]  ) == 1:
																						snake_case__	:      Optional[Any]     		=	cur_pieces[1:]
																		else:
																						snake_case__	:      Optional[Any]     		=	cur_pieces[0][1:]
														cur_pieces.append(piece[-1]  )
														new_pieces.extend(__lowercase  )
										else:
														new_pieces.append(__lowercase  )

						return new_pieces



		def 	__lowerCamelCase			(     self     :Union[str, Any]   ,__lowercase     :Dict  ):
						return self.sp_model.PieceToId(__lowercase  )



		def 	__lowerCamelCase			(     self     :Tuple   ,__lowercase     :Optional[int]  ):
						return self.sp_model.IdToPiece(__lowercase  )



		def 	__lowerCamelCase			(     self     :Tuple   ,__lowercase     :List[Any]  ):
						snake_case__	:      Union[str, Any]     		=	''''''.join(__lowercase  ).replace(__lowercase   ,''' '''  ).strip()
						return out_string



		def 	__lowerCamelCase			(     self     :List[Any]   ,__lowercase     :List[int]   ,__lowercase     :Optional[List[int]] = None  ):
						snake_case__	:      Optional[Any]     		=	[self.sep_token_id]
						snake_case__	:      str     		=	[self.cls_token_id]
						if token_ids_a is None:
										return token_ids_a + sep + cls
						return token_ids_a + sep + token_ids_a + sep + cls



		def 	__lowerCamelCase			(     self     :str   ,__lowercase     :List[int]   ,__lowercase     :Optional[List[int]] = None   ,__lowercase     :bool = False  ):

						if already_has_special_tokens:
										return super().get_special_tokens_mask(
										    token_ids_a=__lowercase   ,token_ids_a=__lowercase   ,already_has_special_tokens=__lowercase  )

						if token_ids_a is not None:
										return ([0] * len(__lowercase  )) + [1] + ([0] * len(__lowercase  )) + [1, 1]
						return ([0] * len(__lowercase  )) + [1, 1]



		def 	__lowerCamelCase			(     self     :List[str]   ,__lowercase     :List[int]   ,__lowercase     :Optional[List[int]] = None  ):
						snake_case__	:      List[Any]     		=	[self.sep_token_id]
						snake_case__	:      Optional[Any]     		=	[2]

						if token_ids_a is None:
										return len(token_ids_a + sep  ) * [0] + cls_segment_id
						return len(token_ids_a + sep  ) * [0] + len(token_ids_a + sep  ) * [1] + cls_segment_id



		def 	__lowerCamelCase			(     self     :Optional[int]   ,__lowercase     :str   ,__lowercase     :Optional[str] = None  ):
						if not os.path.isdir(__lowercase  ):
										logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""  )
										return
						snake_case__	:      Union[str, Any]     		=	os.path.join(
						    __lowercase   ,(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']  )

						if os.path.abspath(self.vocab_file  ) != os.path.abspath(__lowercase  ) and os.path.isfile(self.vocab_file  ):
										copyfile(self.vocab_file   ,__lowercase  )
						elif not os.path.isfile(self.vocab_file  ):
										with open(__lowercase   ,'''wb'''  ) as fi:
														snake_case__	:      str     		=	self.sp_model.serialized_model_proto()
														fi.write(__lowercase  )

						return (out_vocab_file,)






		def 	__lowerCamelCase			(     self     :Union[str, Any]   ,*__lowercase     :Optional[int]   ,**__lowercase     :Dict  ):
						snake_case__	:      Dict     		=	super()._decode(*__lowercase   ,**__lowercase  )
						snake_case__	:      List[Any]     		=	text.replace(''' '''   ,''''''  ).replace('''\u2582'''   ,''' '''  ).replace('''\u2583'''   ,'''\n'''  )
						return text

