





"""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 		lowercase					(					unittest.TestCase					):





      def     _snake_case			(       self )		->     int:
            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(lowercase      ,						range(len(lowercase ) ) ) )
            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(lowercase ) + """\n""" )
            with open(self.merges_file      ,						"""w"""      ,						encoding="""utf-8""" ) as fp:
                  fp.write("""\n""".join(lowercase ) )

            lowerCAmelCase  						=       {
                """do_resize""": True,
                """size""": 20,
                """do_center_crop""": True,
                """crop_size""": 18,
                """do_normalize""": True,
                """image_mean""": [0.48_145_466, 0.4_578_275, 0.40_821_073],
                """image_std""": [0.26_862_954, 0.26_130_258, 0.27_577_711],
            }
            lowerCAmelCase  						=       os.path.join(self.tmpdirname      ,						lowercase )
            with open(self.image_processor_file      ,						"""w"""      ,						encoding="""utf-8""" ) as fp:
                  json.dump(lowercase      ,						lowercase )





      def     _snake_case			(       self      ,						**lowercase )		->     Dict:
            return CLIPTokenizer.from_pretrained(self.tmpdirname      ,						**lowercase )





      def     _snake_case			(       self      ,						**lowercase )		->     List[str]:
            return CLIPTokenizerFast.from_pretrained(self.tmpdirname      ,						**lowercase )





      def     _snake_case			(       self      ,						**lowercase )		->     int:
            return CLIPImageProcessor.from_pretrained(self.tmpdirname      ,						**lowercase )





      def     _snake_case			(       self )		->     Optional[int]:
            shutil.rmtree(self.tmpdirname )





      def     _snake_case			(       self )		->     Optional[int]:
            lowerCAmelCase  						=       [np.random.randint(255      ,						size=(3, 30, 400)      ,						dtype=np.uinta )]

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

            return image_inputs





      def     _snake_case			(       self )		->     Union[str, Any]:
            lowerCAmelCase  						=       self.get_tokenizer()
            lowerCAmelCase  						=       self.get_rust_tokenizer()
            lowerCAmelCase  						=       self.get_image_processor()

            lowerCAmelCase  						=       CLIPProcessor(tokenizer=lowercase      ,						image_processor=lowercase )
            processor_slow.save_pretrained(self.tmpdirname )
            lowerCAmelCase  						=       CLIPProcessor.from_pretrained(self.tmpdirname      ,						use_fast=lowercase )

            lowerCAmelCase  						=       CLIPProcessor(tokenizer=lowercase      ,						image_processor=lowercase )
            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      ,						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     _snake_case			(       self )		->     Any:
            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=lowercase      ,						padding_value=1.0 )

            lowerCAmelCase  						=       CLIPProcessor.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     _snake_case			(       self )		->     int:
            lowerCAmelCase  						=       self.get_image_processor()
            lowerCAmelCase  						=       self.get_tokenizer()

            lowerCAmelCase  						=       CLIPProcessor(tokenizer=lowercase      ,						image_processor=lowercase )

            lowerCAmelCase  						=       self.prepare_image_inputs()

            lowerCAmelCase  						=       image_processor(lowercase      ,						return_tensors="""np""" )
            lowerCAmelCase  						=       processor(images=lowercase      ,						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     _snake_case			(       self )		->     List[Any]:
            lowerCAmelCase  						=       self.get_image_processor()
            lowerCAmelCase  						=       self.get_tokenizer()

            lowerCAmelCase  						=       CLIPProcessor(tokenizer=lowercase      ,						image_processor=lowercase )

            lowerCAmelCase  						=       """lower newer"""

            lowerCAmelCase  						=       processor(text=lowercase )

            lowerCAmelCase  						=       tokenizer(lowercase )

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





      def     _snake_case			(       self )		->     List[Any]:
            lowerCAmelCase  						=       self.get_image_processor()
            lowerCAmelCase  						=       self.get_tokenizer()

            lowerCAmelCase  						=       CLIPProcessor(tokenizer=lowercase      ,						image_processor=lowercase )

            lowerCAmelCase  						=       """lower newer"""
            lowerCAmelCase  						=       self.prepare_image_inputs()

            lowerCAmelCase  						=       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     _snake_case			(       self )		->     int:
            lowerCAmelCase  						=       self.get_image_processor()
            lowerCAmelCase  						=       self.get_tokenizer()

            lowerCAmelCase  						=       CLIPProcessor(tokenizer=lowercase      ,						image_processor=lowercase )

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

            lowerCAmelCase  						=       processor.batch_decode(lowercase )
            lowerCAmelCase  						=       tokenizer.batch_decode(lowercase )

            self.assertListEqual(lowercase      ,						lowercase )





      def     _snake_case			(       self )		->     str:
            lowerCAmelCase  						=       self.get_image_processor()
            lowerCAmelCase  						=       self.get_tokenizer()

            lowerCAmelCase  						=       CLIPProcessor(tokenizer=lowercase      ,						image_processor=lowercase )

            lowerCAmelCase  						=       """lower newer"""
            lowerCAmelCase  						=       self.prepare_image_inputs()

            lowerCAmelCase  						=       processor(text=lowercase      ,						images=lowercase )

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












import importlib
import os
from dataclasses import dataclass
from enum import Enum
from typing import Any, Dict, Optional, Union

import torch

from ..utils import BaseOutput


_A     =			'''scheduler_config.json'''


class  A		(  __UpperCAmelCase     ):
		__snake_case									=   1
		__snake_case									=   2
		__snake_case									=   3
		__snake_case									=   4
		__snake_case									=   5
		__snake_case									=   6
		__snake_case									=   7
		__snake_case									=   8
		__snake_case									=   9
		__snake_case									=   10
		__snake_case									=   11
		__snake_case									=   12
		__snake_case									=   13
		__snake_case									=   14







@dataclass
class  A		(  __UpperCAmelCase     ):
		__snake_case									=   42







class  A		:
		__snake_case									=   SCHEDULER_CONFIG_NAME
		__snake_case									=   []
		__snake_case									=   True



		@classmethod
		def        SCREAMING_SNAKE_CASE__			(     cls,	UpperCamelCase__ = None,	UpperCamelCase__ = None,	UpperCamelCase__=False,	**UpperCamelCase__,	):







								"""simple docstring"""



								lowerCAmelCase_			,					lowerCAmelCase_			,					lowerCAmelCase_      			=  cls.load_config(
								    pretrained_model_name_or_path=UpperCamelCase__,	subfolder=UpperCamelCase__,	return_unused_kwargs=UpperCamelCase__,	return_commit_hash=UpperCamelCase__,	**UpperCamelCase__,	)
								return cls.from_config(UpperCamelCase__,	return_unused_kwargs=UpperCamelCase__,	**UpperCamelCase__   )



		def        SCREAMING_SNAKE_CASE__			(     self,	UpperCamelCase__,	UpperCamelCase__ = False,	**UpperCamelCase__   ):







								"""simple docstring"""



								self.save_config(save_directory=UpperCamelCase__,	push_to_hub=UpperCamelCase__,	**UpperCamelCase__   )



		@property
		def        SCREAMING_SNAKE_CASE__			(     self   ):







								"""simple docstring"""



								return self._get_compatibles()







		@classmethod
		def        SCREAMING_SNAKE_CASE__			(     cls   ):







								"""simple docstring"""



								lowerCAmelCase_      			=  list(set([cls.__name__] + cls._compatibles   )   )
								lowerCAmelCase_      			=  importlib.import_module(__name__.split('''.'''   )[0]   )
								lowerCAmelCase_      			=  [
								    getattr(UpperCamelCase__,	UpperCamelCase__   ) for c in compatible_classes_str if hasattr(UpperCamelCase__,	UpperCamelCase__   )
								]
								return compatible_classes




