


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 OwlViTImageProcessor, OwlViTProcessor


@require_vision
class        _a							(			unittest.TestCase			):

							def       lowerCamelCase_ (							self:	Union[str, Any]							)			->   Union[str, Any]:





									"""simple docstring"""







									lowercase__            =      tempfile.mkdtemp()

									# fmt: off
									lowercase__            =      ['''''', '''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
									lowercase__            =      dict(zip(UpperCamelCase_    ,						range(len(UpperCamelCase_							)							)							)							)
									lowercase__            =      ['''#version: 0.2''', '''l o''', '''lo w</w>''', '''e r</w>''', '''''']
									lowercase__            =      {'''unk_token''': '''<unk>'''}

									lowercase__            =      os.path.join(self.tmpdirname    ,						VOCAB_FILES_NAMES['''vocab_file''']							)
									lowercase__            =      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(UpperCamelCase_							) + '''\n'''							)
									with open(self.merges_file    ,						'''w'''    ,						encoding='''utf-8'''							) as fp:
											fp.write('''\n'''.join(UpperCamelCase_							)							)

									lowercase__            =      {
									    '''do_resize''': True,
									    '''size''': 20,
									    '''do_center_crop''': True,
									    '''crop_size''': 18,
									    '''do_normalize''': True,
									    '''image_mean''': [0.48145466, 0.4578275, 0.40821073],
									    '''image_std''': [0.26862954, 0.26130258, 0.27577711],
									}
									lowercase__            =      os.path.join(self.tmpdirname    ,						UpperCamelCase_							)
									with open(self.image_processor_file    ,						'''w'''    ,						encoding='''utf-8'''							) as fp:
											json.dump(UpperCamelCase_    ,						UpperCamelCase_							)

							def       lowerCamelCase_ (							self:	Tuple    ,						**UpperCamelCase_:	Any							)			->   str:





									"""simple docstring"""







									return CLIPTokenizer.from_pretrained(self.tmpdirname    ,						pad_token='''!'''    ,						**UpperCamelCase_							)

							def       lowerCamelCase_ (							self:	int    ,						**UpperCamelCase_:	Optional[Any]							)			->   int:





									"""simple docstring"""







									return CLIPTokenizerFast.from_pretrained(self.tmpdirname    ,						pad_token='''!'''    ,						**UpperCamelCase_							)

							def       lowerCamelCase_ (							self:	Dict    ,						**UpperCamelCase_:	List[Any]							)			->   List[Any]:





									"""simple docstring"""







									return OwlViTImageProcessor.from_pretrained(self.tmpdirname    ,						**UpperCamelCase_							)

							def       lowerCamelCase_ (							self:	Optional[int]							)			->   Dict:





									"""simple docstring"""







									shutil.rmtree(self.tmpdirname							)

							def       lowerCamelCase_ (							self:	str							)			->   Optional[int]:





									"""simple docstring"""







									lowercase__            =      [np.random.randint(255    ,						size=(3, 30, 400)    ,						dtype=np.uinta							)]

									lowercase__            =      [Image.fromarray(np.moveaxis(UpperCamelCase_    ,						0    ,						-1							)							) for x in image_inputs]

									return image_inputs

							def       lowerCamelCase_ (							self:	Optional[Any]							)			->   List[Any]:





									"""simple docstring"""







									lowercase__            =      self.get_tokenizer()
									lowercase__            =      self.get_rust_tokenizer()
									lowercase__            =      self.get_image_processor()

									lowercase__            =      OwlViTProcessor(tokenizer=UpperCamelCase_    ,						image_processor=UpperCamelCase_							)
									processor_slow.save_pretrained(self.tmpdirname							)
									lowercase__            =      OwlViTProcessor.from_pretrained(self.tmpdirname    ,						use_fast=UpperCamelCase_							)

									lowercase__            =      OwlViTProcessor(tokenizer=UpperCamelCase_    ,						image_processor=UpperCamelCase_							)
									processor_fast.save_pretrained(self.tmpdirname							)
									lowercase__            =      OwlViTProcessor.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    ,						UpperCamelCase_							)
									self.assertIsInstance(processor_fast.tokenizer    ,						UpperCamelCase_							)

									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    ,						UpperCamelCase_							)
									self.assertIsInstance(processor_fast.image_processor    ,						UpperCamelCase_							)

							def       lowerCamelCase_ (							self:	Optional[Any]							)			->   Tuple:





									"""simple docstring"""







									lowercase__            =      OwlViTProcessor(tokenizer=self.get_tokenizer()    ,						image_processor=self.get_image_processor()							)
									processor.save_pretrained(self.tmpdirname							)

									lowercase__            =      self.get_tokenizer(bos_token='''(BOS)'''    ,						eos_token='''(EOS)'''							)
									lowercase__            =      self.get_image_processor(do_normalize=UpperCamelCase_							)

									lowercase__            =      OwlViTProcessor.from_pretrained(
									    self.tmpdirname    ,						bos_token='''(BOS)'''    ,						eos_token='''(EOS)'''    ,						do_normalize=UpperCamelCase_							)

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

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

							def       lowerCamelCase_ (							self:	Optional[Any]							)			->   List[Any]:





									"""simple docstring"""







									lowercase__            =      self.get_image_processor()
									lowercase__            =      self.get_tokenizer()

									lowercase__            =      OwlViTProcessor(tokenizer=UpperCamelCase_    ,						image_processor=UpperCamelCase_							)

									lowercase__            =      self.prepare_image_inputs()

									lowercase__            =      image_processor(UpperCamelCase_    ,						return_tensors='''np'''							)
									lowercase__            =      processor(images=UpperCamelCase_    ,						return_tensors='''np'''							)

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

							def       lowerCamelCase_ (							self:	Tuple							)			->   int:





									"""simple docstring"""







									lowercase__            =      self.get_image_processor()
									lowercase__            =      self.get_tokenizer()

									lowercase__            =      OwlViTProcessor(tokenizer=UpperCamelCase_    ,						image_processor=UpperCamelCase_							)

									lowercase__            =      '''lower newer'''

									lowercase__            =      processor(text=UpperCamelCase_    ,						return_tensors='''np'''							)

									lowercase__            =      tokenizer(UpperCamelCase_    ,						return_tensors='''np'''							)

									for key in encoded_tok.keys():
											self.assertListEqual(encoded_tok[key][0].tolist()    ,						encoded_processor[key][0].tolist()							)

							def       lowerCamelCase_ (							self:	Optional[int]							)			->   Optional[Any]:





									"""simple docstring"""







									lowercase__            =      self.get_image_processor()
									lowercase__            =      self.get_tokenizer()

									lowercase__            =      OwlViTProcessor(tokenizer=UpperCamelCase_    ,						image_processor=UpperCamelCase_							)

									lowercase__            =      '''lower newer'''
									lowercase__            =      self.prepare_image_inputs()

									lowercase__            =      processor(text=UpperCamelCase_    ,						images=UpperCamelCase_							)

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

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

							def       lowerCamelCase_ (							self:	List[str]							)			->   Tuple:





									"""simple docstring"""







									lowercase__            =      '''google/owlvit-base-patch32'''
									lowercase__            =      OwlViTProcessor.from_pretrained(UpperCamelCase_							)

									lowercase__            =      ['''cat''', '''nasa badge''']
									lowercase__            =      processor(text=UpperCamelCase_							)

									lowercase__            =      16
									self.assertListEqual(list(inputs.keys()							)    ,						['''input_ids''', '''attention_mask''']							)
									self.assertEqual(inputs['''input_ids'''].shape    ,						(2, seq_length)							)

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

							def       lowerCamelCase_ (							self:	Optional[int]							)			->   Tuple:





									"""simple docstring"""







									lowercase__            =      '''google/owlvit-base-patch32'''
									lowercase__            =      OwlViTProcessor.from_pretrained(UpperCamelCase_							)

									lowercase__            =      [['''cat''', '''nasa badge'''], ['''person''']]
									lowercase__            =      processor(text=UpperCamelCase_							)

									lowercase__            =      16
									lowercase__            =      len(UpperCamelCase_							)
									lowercase__            =      max([len(UpperCamelCase_							) for texts in input_texts]							)

									self.assertListEqual(list(inputs.keys()							)    ,						['''input_ids''', '''attention_mask''']							)
									self.assertEqual(inputs['''input_ids'''].shape    ,						(batch_size * num_max_text_queries, seq_length)							)

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

							def       lowerCamelCase_ (							self:	Optional[Any]							)			->   int:





									"""simple docstring"""







									lowercase__            =      '''google/owlvit-base-patch32'''
									lowercase__            =      OwlViTProcessor.from_pretrained(UpperCamelCase_							)

									lowercase__            =      ['''cat''', '''nasa badge''']
									lowercase__            =      processor(text=UpperCamelCase_							)

									lowercase__            =      16
									lowercase__            =      inputs['''input_ids''']
									lowercase__            =      [
									    [49_406, 2_368, 49_407, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
									    [49_406, 6_841, 11_301, 49_407, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
									]

									self.assertListEqual(list(inputs.keys()							)    ,						['''input_ids''', '''attention_mask''']							)
									self.assertEqual(inputs['''input_ids'''].shape    ,						(2, seq_length)							)
									self.assertListEqual(list(input_ids[0]							)    ,						predicted_ids[0]							)
									self.assertListEqual(list(input_ids[1]							)    ,						predicted_ids[1]							)

							def       lowerCamelCase_ (							self:	str							)			->   Any:





									"""simple docstring"""







									lowercase__            =      self.get_image_processor()
									lowercase__            =      self.get_tokenizer()

									lowercase__            =      OwlViTProcessor(tokenizer=UpperCamelCase_    ,						image_processor=UpperCamelCase_							)

									lowercase__            =      self.prepare_image_inputs()
									lowercase__            =      self.prepare_image_inputs()

									lowercase__            =      processor(images=UpperCamelCase_    ,						query_images=UpperCamelCase_							)

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

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


							def       lowerCamelCase_ (							self:	int							)			->   List[str]:





									"""simple docstring"""







									lowercase__            =      self.get_image_processor()
									lowercase__            =      self.get_tokenizer()

									lowercase__            =      OwlViTProcessor(tokenizer=UpperCamelCase_    ,						image_processor=UpperCamelCase_							)

									lowercase__            =      [[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

									lowercase__            =      processor.batch_decode(UpperCamelCase_							)
									lowercase__            =      tokenizer.batch_decode(UpperCamelCase_							)

									self.assertListEqual(UpperCamelCase_    ,						UpperCamelCase_							)






"""simple docstring"""





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

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
 from .tokenization_fnet import FNetTokenizer
else:
 snake_case__						:   str			 = None

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

snake_case__						:   Dict			 = {
    '''vocab_file''': {
        '''google/fnet-base''': '''https://huggingface.co/google/fnet-base/resolve/main/spiece.model''',
        '''google/fnet-large''': '''https://huggingface.co/google/fnet-large/resolve/main/spiece.model''',
    },
    '''tokenizer_file''': {
        '''google/fnet-base''': '''https://huggingface.co/google/fnet-base/resolve/main/tokenizer.json''',
        '''google/fnet-large''': '''https://huggingface.co/google/fnet-large/resolve/main/tokenizer.json''',
    },
}

snake_case__						:   Any			 = {
    '''google/fnet-base''': 512,
    '''google/fnet-large''': 512,
}

snake_case__						:   Dict			 = '''▁'''



class 						snake_case_(				a__	):
     __UpperCamelCase     =    VOCAB_FILES_NAMES
     __UpperCamelCase     =    PRETRAINED_VOCAB_FILES_MAP
     __UpperCamelCase     =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     __UpperCamelCase     =    ['''input_ids''', '''token_type_ids''']
     __UpperCamelCase     =    FNetTokenizer






     def __init__(		self     :    Union[str, Any]    , UpperCamelCase_     :    Union[str, Any]=None    , UpperCamelCase_     :    Union[str, Any]=None    , UpperCamelCase_     :    Any=False    , UpperCamelCase_     :    Any=True    , UpperCamelCase_     :    Dict=True    , UpperCamelCase_     :    Tuple="<unk>"    , UpperCamelCase_     :    List[str]="[SEP]"    , UpperCamelCase_     :    List[Any]="<pad>"    , UpperCamelCase_     :    Union[str, Any]="[CLS]"    , UpperCamelCase_     :    int="[MASK]"    , **UpperCamelCase_     :    Optional[Any]    , ):
           # Mask token behave like a normal word, i.e. include the space before it and
           # is included in the raw text, there should be a match in a non-normalized sentence.
           lowerCAmelCase    :		int				=      (
               AddedToken(UpperCamelCase_    , lstrip=UpperCamelCase_    , rstrip=UpperCamelCase_    , normalized=UpperCamelCase_ )
               if isinstance(UpperCamelCase_    , UpperCamelCase_ )
               else mask_token
           )

           super().__init__(
               UpperCamelCase_    , tokenizer_file=UpperCamelCase_    , do_lower_case=UpperCamelCase_    , remove_space=UpperCamelCase_    , keep_accents=UpperCamelCase_    , unk_token=UpperCamelCase_    , sep_token=UpperCamelCase_    , pad_token=UpperCamelCase_    , cls_token=UpperCamelCase_    , mask_token=UpperCamelCase_    , **UpperCamelCase_    , )

           lowerCAmelCase    :		Optional[int]				=      do_lower_case
           lowerCAmelCase    :		str				=      remove_space
           lowerCAmelCase    :		Any				=      keep_accents
           lowerCAmelCase    :		int				=      vocab_file
           lowerCAmelCase    :		List[str]				=      False if not self.vocab_file else True






     def    lowerCamelCase__   (		self     :    List[Any]    , UpperCamelCase_     :    List[int]    , UpperCamelCase_     :    Optional[List[int]] = None ):
           lowerCAmelCase    :		Optional[int]				=      [self.sep_token_id]
           lowerCAmelCase    :		Optional[Any]				=      [self.cls_token_id]
           if token_ids_a is None:
                 return cls + token_ids_a + sep
           return cls + token_ids_a + sep + token_ids_a + sep






     def    lowerCamelCase__   (		self     :    List[str]    , UpperCamelCase_     :    List[int]    , UpperCamelCase_     :    Optional[List[int]] = None ):
           lowerCAmelCase    :		List[str]				=      [self.sep_token_id]
           lowerCAmelCase    :		Optional[Any]				=      [self.cls_token_id]

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






     def    lowerCamelCase__   (		self     :    List[Any]    , UpperCamelCase_     :    str    , UpperCamelCase_     :    Optional[str] = None ):
           if not os.path.isdir(UpperCamelCase_ ):
                 logger.error(F'''Vocabulary path ({save_directory}) should be a directory''' )
                 return
           lowerCAmelCase    :		str				=      os.path.join(
               UpperCamelCase_    , (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file'''] )

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

           return (out_vocab_file,)


