'''simple docstring'''


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 CLIPImageProcessor, CLIPProcessor






@require_vision
class 					__SCREAMING_SNAKE_CASE						(	unittest.TestCase	):







  '''simple docstring'''






  def _UpperCamelCase					(			self						):




       '''simple docstring'''

       UpperCAmelCase_							:       Union[str, Any]       =				tempfile.mkdtemp()

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

       UpperCAmelCase_							:       Optional[int]       =				os.path.join(self.tmpdirname				,		VOCAB_FILES_NAMES['vocab_file']						)
       UpperCAmelCase_							:       List[Any]       =				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(snake_case_						) + '\n'						)
       with open(self.merges_file				,		'w'				,		encoding='utf-8'						) as fp:
            fp.write('\n'.join(snake_case_						)						)

       UpperCAmelCase_							:       Union[str, Any]       =				{
           'do_resize': True,
           'size': 2_0,
           'do_center_crop': True,
           'crop_size': 1_8,
           'do_normalize': True,
           'image_mean': [0.48_14_54_66, 0.4_57_82_75, 0.40_82_10_73],
           'image_std': [0.26_86_29_54, 0.26_13_02_58, 0.27_57_77_11],
       }
       UpperCAmelCase_							:       Tuple       =				os.path.join(self.tmpdirname				,		snake_case_						)
       with open(self.image_processor_file				,		'w'				,		encoding='utf-8'						) as fp:
            json.dump(snake_case_				,		snake_case_						)


  def _UpperCamelCase					(			self				,		**snake_case_						):




       '''simple docstring'''

       return CLIPTokenizer.from_pretrained(self.tmpdirname				,		**snake_case_						)


  def _UpperCamelCase					(			self				,		**snake_case_						):




       '''simple docstring'''

       return CLIPTokenizerFast.from_pretrained(self.tmpdirname				,		**snake_case_						)


  def _UpperCamelCase					(			self				,		**snake_case_						):




       '''simple docstring'''

       return CLIPImageProcessor.from_pretrained(self.tmpdirname				,		**snake_case_						)


  def _UpperCamelCase					(			self						):




       '''simple docstring'''

       shutil.rmtree(self.tmpdirname						)


  def _UpperCamelCase					(			self						):




       '''simple docstring'''

       UpperCAmelCase_							:       List[str]       =				[np.random.randint(2_5_5				,		size=(3, 3_0, 4_0_0)				,		dtype=np.uinta						)]

       UpperCAmelCase_							:       Tuple       =				[Image.fromarray(np.moveaxis(snake_case_				,		0				,		-1						)						) for x in image_inputs]

       return image_inputs


  def _UpperCamelCase					(			self						):




       '''simple docstring'''

       UpperCAmelCase_							:       str       =				self.get_tokenizer()
       UpperCAmelCase_							:       str       =				self.get_rust_tokenizer()
       UpperCAmelCase_							:       Union[str, Any]       =				self.get_image_processor()

       UpperCAmelCase_							:       Optional[Any]       =				CLIPProcessor(tokenizer=snake_case_				,		image_processor=snake_case_						)
       processor_slow.save_pretrained(self.tmpdirname						)
       UpperCAmelCase_							:       str       =				CLIPProcessor.from_pretrained(self.tmpdirname				,		use_fast=snake_case_						)

       UpperCAmelCase_							:       Dict       =				CLIPProcessor(tokenizer=snake_case_				,		image_processor=snake_case_						)
       processor_fast.save_pretrained(self.tmpdirname						)
       UpperCAmelCase_							:       int       =				CLIPProcessor.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				,		snake_case_						)
       self.assertIsInstance(processor_fast.tokenizer				,		snake_case_						)

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


  def _UpperCamelCase					(			self						):




       '''simple docstring'''

       UpperCAmelCase_							:       Union[str, Any]       =				CLIPProcessor(tokenizer=self.get_tokenizer()				,		image_processor=self.get_image_processor()						)
       processor.save_pretrained(self.tmpdirname						)

       UpperCAmelCase_							:       Dict       =				self.get_tokenizer(bos_token='(BOS)'				,		eos_token='(EOS)'						)
       UpperCAmelCase_							:       Optional[int]       =				self.get_image_processor(do_normalize=snake_case_				,		padding_value=1.0						)

       UpperCAmelCase_							:       Dict       =				CLIPProcessor.from_pretrained(
           self.tmpdirname				,		bos_token='(BOS)'				,		eos_token='(EOS)'				,		do_normalize=snake_case_				,		padding_value=1.0						)

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

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


  def _UpperCamelCase					(			self						):




       '''simple docstring'''

       UpperCAmelCase_							:       Dict       =				self.get_image_processor()
       UpperCAmelCase_							:       Any       =				self.get_tokenizer()

       UpperCAmelCase_							:       int       =				CLIPProcessor(tokenizer=snake_case_				,		image_processor=snake_case_						)

       UpperCAmelCase_							:       str       =				self.prepare_image_inputs()

       UpperCAmelCase_							:       Dict       =				image_processor(snake_case_				,		return_tensors='np'						)
       UpperCAmelCase_							:       List[str]       =				processor(images=snake_case_				,		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 _UpperCamelCase					(			self						):




       '''simple docstring'''

       UpperCAmelCase_							:       Any       =				self.get_image_processor()
       UpperCAmelCase_							:       List[Any]       =				self.get_tokenizer()

       UpperCAmelCase_							:       List[str]       =				CLIPProcessor(tokenizer=snake_case_				,		image_processor=snake_case_						)

       UpperCAmelCase_							:       Optional[int]       =				'lower newer'

       UpperCAmelCase_							:       Dict       =				processor(text=snake_case_						)

       UpperCAmelCase_							:       Dict       =				tokenizer(snake_case_						)

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


  def _UpperCamelCase					(			self						):




       '''simple docstring'''

       UpperCAmelCase_							:       Any       =				self.get_image_processor()
       UpperCAmelCase_							:       Any       =				self.get_tokenizer()

       UpperCAmelCase_							:       int       =				CLIPProcessor(tokenizer=snake_case_				,		image_processor=snake_case_						)

       UpperCAmelCase_							:       Tuple       =				'lower newer'
       UpperCAmelCase_							:       Optional[int]       =				self.prepare_image_inputs()

       UpperCAmelCase_							:       Optional[Any]       =				processor(text=snake_case_				,		images=snake_case_						)

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

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


  def _UpperCamelCase					(			self						):




       '''simple docstring'''

       UpperCAmelCase_							:       List[str]       =				self.get_image_processor()
       UpperCAmelCase_							:       Dict       =				self.get_tokenizer()

       UpperCAmelCase_							:       List[str]       =				CLIPProcessor(tokenizer=snake_case_				,		image_processor=snake_case_						)

       UpperCAmelCase_							:       Optional[Any]       =				[[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

       UpperCAmelCase_							:       Union[str, Any]       =				processor.batch_decode(snake_case_						)
       UpperCAmelCase_							:       str       =				tokenizer.batch_decode(snake_case_						)

       self.assertListEqual(snake_case_				,		snake_case_						)






  def _UpperCamelCase					(			self						):




       '''simple docstring'''

       UpperCAmelCase_							:       Any       =				self.get_image_processor()
       UpperCAmelCase_							:       int       =				self.get_tokenizer()

       UpperCAmelCase_							:       int       =				CLIPProcessor(tokenizer=snake_case_				,		image_processor=snake_case_						)

       UpperCAmelCase_							:       Tuple       =				'lower newer'
       UpperCAmelCase_							:       Tuple       =				self.prepare_image_inputs()

       UpperCAmelCase_							:       Any       =				processor(text=snake_case_				,		images=snake_case_						)

       self.assertListEqual(list(inputs.keys()						)				,		processor.model_input_names						)







'''simple docstring'''


def  _lowerCamelCase   (				lowerCamelCase_ :							str     ,					lowerCamelCase_ :							str = " "       ):



     """simple docstring"""





     UpperCAmelCase_							:       str       =				[]

     UpperCAmelCase_							:       List[Any]       =				0
     for index, char in enumerate(lowerCamelCase_       ):
          if char == separator:
               split_words.append(string[last_index:index]       )
               UpperCAmelCase_							:       Optional[Any]       =				index + 1
          elif index + 1 == len(lowerCamelCase_       ):
               split_words.append(string[last_index : index + 1]       )
     return split_words


if __name__ == "__main__":
 from doctest import testmod

 testmod()






