


"""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    __a						( unittest.TestCase							):







				def      lowerCamelCase_     ( self   ):

					'''simple docstring'''






					lowerCAmelCase_      							=			tempfile.mkdtemp()

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

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

					lowerCAmelCase_      							=			{
					    '''do_resize''': True,
					    '''size''': 20,
					    '''do_center_crop''': True,
					    '''crop_size''': 18,
					    '''do_normalize''': True,
					    '''image_mean''': [0.4_8_1_4_5_4_6_6, 0.4_5_7_8_2_7_5, 0.4_0_8_2_1_0_7_3],
					    '''image_std''': [0.2_6_8_6_2_9_5_4, 0.2_6_1_3_0_2_5_8, 0.2_7_5_7_7_7_1_1],
					}
					lowerCAmelCase_      							=			os.path.join(self.tmpdirname      ,	SCREAMING_SNAKE_CASE__   )
					with open(self.image_processor_file      ,	'''w'''      ,	encoding='''utf-8'''   ) as fp:
						json.dump(SCREAMING_SNAKE_CASE__      ,	SCREAMING_SNAKE_CASE__   )







				def      lowerCamelCase_     ( self      ,	**UpperCAmelCase   ):

					'''simple docstring'''






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







				def      lowerCamelCase_     ( self      ,	**UpperCAmelCase   ):

					'''simple docstring'''






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







				def      lowerCamelCase_     ( self      ,	**UpperCAmelCase   ):

					'''simple docstring'''






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







				def      lowerCamelCase_     ( self   ):

					'''simple docstring'''






					shutil.rmtree(self.tmpdirname   )







				def      lowerCamelCase_     ( self   ):

					'''simple docstring'''






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

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

					return image_inputs







				def      lowerCamelCase_     ( self   ):

					'''simple docstring'''






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

					lowerCAmelCase_      							=			CLIPProcessor(tokenizer=SCREAMING_SNAKE_CASE__      ,	image_processor=SCREAMING_SNAKE_CASE__   )
					processor_slow.save_pretrained(self.tmpdirname   )
					lowerCAmelCase_      							=			CLIPProcessor.from_pretrained(self.tmpdirname      ,	use_fast=SCREAMING_SNAKE_CASE__   )

					lowerCAmelCase_      							=			CLIPProcessor(tokenizer=SCREAMING_SNAKE_CASE__      ,	image_processor=SCREAMING_SNAKE_CASE__   )
					processor_fast.save_pretrained(self.tmpdirname   )
					lowerCAmelCase_      							=			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      ,	SCREAMING_SNAKE_CASE__   )
					self.assertIsInstance(processor_fast.tokenizer      ,	SCREAMING_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      ,	SCREAMING_SNAKE_CASE__   )
					self.assertIsInstance(processor_fast.image_processor      ,	SCREAMING_SNAKE_CASE__   )







				def      lowerCamelCase_     ( self   ):

					'''simple docstring'''






					lowerCAmelCase_      							=			CLIPProcessor(tokenizer=self.get_tokenizer()      ,	image_processor=self.get_image_processor()   )
					processor.save_pretrained(self.tmpdirname   )

					lowerCAmelCase_      							=			self.get_tokenizer(bos_token='''(BOS)'''      ,	eos_token='''(EOS)'''   )
					lowerCAmelCase_      							=			self.get_image_processor(do_normalize=SCREAMING_SNAKE_CASE__      ,	padding_value=1.0   )

					lowerCAmelCase_      							=			CLIPProcessor.from_pretrained(
					    self.tmpdirname      ,	bos_token='''(BOS)'''      ,	eos_token='''(EOS)'''      ,	do_normalize=SCREAMING_SNAKE_CASE__      ,	padding_value=1.0   )

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

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







				def      lowerCamelCase_     ( self   ):

					'''simple docstring'''






					lowerCAmelCase_      							=			self.get_image_processor()
					lowerCAmelCase_      							=			self.get_tokenizer()

					lowerCAmelCase_      							=			CLIPProcessor(tokenizer=SCREAMING_SNAKE_CASE__      ,	image_processor=SCREAMING_SNAKE_CASE__   )

					lowerCAmelCase_      							=			self.prepare_image_inputs()

					lowerCAmelCase_      							=			image_processor(SCREAMING_SNAKE_CASE__      ,	return_tensors='''np'''   )
					lowerCAmelCase_      							=			processor(images=SCREAMING_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      lowerCamelCase_     ( self   ):

					'''simple docstring'''






					lowerCAmelCase_      							=			self.get_image_processor()
					lowerCAmelCase_      							=			self.get_tokenizer()

					lowerCAmelCase_      							=			CLIPProcessor(tokenizer=SCREAMING_SNAKE_CASE__      ,	image_processor=SCREAMING_SNAKE_CASE__   )

					lowerCAmelCase_      							=			'''lower newer'''

					lowerCAmelCase_      							=			processor(text=SCREAMING_SNAKE_CASE__   )

					lowerCAmelCase_      							=			tokenizer(SCREAMING_SNAKE_CASE__   )

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







				def      lowerCamelCase_     ( self   ):

					'''simple docstring'''






					lowerCAmelCase_      							=			self.get_image_processor()
					lowerCAmelCase_      							=			self.get_tokenizer()

					lowerCAmelCase_      							=			CLIPProcessor(tokenizer=SCREAMING_SNAKE_CASE__      ,	image_processor=SCREAMING_SNAKE_CASE__   )

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

					lowerCAmelCase_      							=			processor(text=SCREAMING_SNAKE_CASE__      ,	images=SCREAMING_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(SCREAMING_SNAKE_CASE__   ):
						processor()







				def      lowerCamelCase_     ( self   ):

					'''simple docstring'''






					lowerCAmelCase_      							=			self.get_image_processor()
					lowerCAmelCase_      							=			self.get_tokenizer()

					lowerCAmelCase_      							=			CLIPProcessor(tokenizer=SCREAMING_SNAKE_CASE__      ,	image_processor=SCREAMING_SNAKE_CASE__   )

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

					lowerCAmelCase_      							=			processor.batch_decode(SCREAMING_SNAKE_CASE__   )
					lowerCAmelCase_      							=			tokenizer.batch_decode(SCREAMING_SNAKE_CASE__   )

					self.assertListEqual(SCREAMING_SNAKE_CASE__      ,	SCREAMING_SNAKE_CASE__   )







				def      lowerCamelCase_     ( self   ):

					'''simple docstring'''






					lowerCAmelCase_      							=			self.get_image_processor()
					lowerCAmelCase_      							=			self.get_tokenizer()

					lowerCAmelCase_      							=			CLIPProcessor(tokenizer=SCREAMING_SNAKE_CASE__      ,	image_processor=SCREAMING_SNAKE_CASE__   )

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

					lowerCAmelCase_      							=			processor(text=SCREAMING_SNAKE_CASE__      ,	images=SCREAMING_SNAKE_CASE__   )

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

from __future__ import annotations

from collections import Counter
from random import random
class       _lowerCAmelCase  :

 """simple docstring"""

 def __init__(						self			:			Union[str, Any]   ):






      """simple docstring"""



      UpperCamelCase						    =					{}

 def      __lowerCAmelCase  (						self			:			Tuple					, SCREAMING_SNAKE_CASE__			:			str   ):






      """simple docstring"""



      UpperCamelCase						    =					{}

 def      __lowerCAmelCase  (						self			:			Optional[Any]					, SCREAMING_SNAKE_CASE__			:			str					, SCREAMING_SNAKE_CASE__			:			str					, SCREAMING_SNAKE_CASE__			:			float   ):






      """simple docstring"""



      if nodea not in self.connections:
           self.add_node(SCREAMING_SNAKE_CASE__   )
      if nodea not in self.connections:
           self.add_node(SCREAMING_SNAKE_CASE__   )
      UpperCamelCase						    =					probability

 def      __lowerCAmelCase  (						self			:			str   ):






      """simple docstring"""



      return list(self.connections   )






 def      __lowerCAmelCase  (						self			:			Any					, SCREAMING_SNAKE_CASE__			:			str   ):






      """simple docstring"""



      UpperCamelCase						    =					0
      UpperCamelCase						    =					random()

      for dest in self.connections[node]:
           current_probability += self.connections[node][dest]
           if current_probability > random_value:
                return dest
      return ""




def  __lowerCamelCase					( _lowercase						,     _lowercase						,     _lowercase			)       ->      dict[str, int]:
     UpperCamelCase						    =					MarkovChainGraphUndirectedUnweighted()

     for nodea, nodea, probability in transitions:
          graph.add_transition_probability(_lowercase						,     _lowercase						,     _lowercase			)

     UpperCamelCase						    =					Counter(graph.get_nodes()			)
     UpperCamelCase						    =					start

     for _ in range(_lowercase			):
          UpperCamelCase						    =					graph.transition(_lowercase			)
          visited[node] += 1

     return visited


if __name__ == "__main__":
 import doctest

 doctest.testmod()


