


"""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        lowercase__							(						self						):






         """simple docstring"""





         lowerCAmelCase     :     List[Any]								=							tempfile.mkdtemp()

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

         lowerCAmelCase     :     int								=							os.path.join(self.tmpdirname		,     VOCAB_FILES_NAMES["vocab_file"]						)
         lowerCAmelCase     :     Union[str, 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__						)						)

         lowerCAmelCase     :     Union[str, Any]								=							{
             "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],
         }
         lowerCAmelCase     :     Optional[Any]								=							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        lowercase__							(						self		,     **snake_case__						):






         """simple docstring"""





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

       def        lowercase__							(						self		,     **snake_case__						):






         """simple docstring"""





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

       def        lowercase__							(						self		,     **snake_case__						):






         """simple docstring"""





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

       def        lowercase__							(						self						):






         """simple docstring"""





         shutil.rmtree(self.tmpdirname						)

       def        lowercase__							(						self						):






         """simple docstring"""





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

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

         return image_inputs

       def        lowercase__							(						self						):






         """simple docstring"""





         lowerCAmelCase     :     Tuple								=							self.get_tokenizer()
         lowerCAmelCase     :     Dict								=							self.get_rust_tokenizer()
         lowerCAmelCase     :     Dict								=							self.get_image_processor()

         lowerCAmelCase     :     Any								=							CLIPProcessor(tokenizer=snake_case__		,     image_processor=snake_case__						)
         processor_slow.save_pretrained(self.tmpdirname						)
         lowerCAmelCase     :     Optional[Any]								=							CLIPProcessor.from_pretrained(self.tmpdirname		,     use_fast=snake_case__						)

         lowerCAmelCase     :     Dict								=							CLIPProcessor(tokenizer=snake_case__		,     image_processor=snake_case__						)
         processor_fast.save_pretrained(self.tmpdirname						)
         lowerCAmelCase     :     Dict								=							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        lowercase__							(						self						):






         """simple docstring"""





         lowerCAmelCase     :     str								=							CLIPProcessor(tokenizer=self.get_tokenizer()		,     image_processor=self.get_image_processor()						)
         processor.save_pretrained(self.tmpdirname						)

         lowerCAmelCase     :     Any								=							self.get_tokenizer(bos_token="(BOS)"		,     eos_token="(EOS)"						)
         lowerCAmelCase     :     Any								=							self.get_image_processor(do_normalize=snake_case__		,     padding_value=1.0						)

         lowerCAmelCase     :     List[Any]								=							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        lowercase__							(						self						):






         """simple docstring"""





         lowerCAmelCase     :     Optional[Any]								=							self.get_image_processor()
         lowerCAmelCase     :     Any								=							self.get_tokenizer()

         lowerCAmelCase     :     List[str]								=							CLIPProcessor(tokenizer=snake_case__		,     image_processor=snake_case__						)

         lowerCAmelCase     :     Optional[Any]								=							self.prepare_image_inputs()

         lowerCAmelCase     :     Optional[Any]								=							image_processor(snake_case__		,     return_tensors="np"						)
         lowerCAmelCase     :     Tuple								=							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        lowercase__							(						self						):






         """simple docstring"""





         lowerCAmelCase     :     Dict								=							self.get_image_processor()
         lowerCAmelCase     :     Optional[int]								=							self.get_tokenizer()

         lowerCAmelCase     :     Tuple								=							CLIPProcessor(tokenizer=snake_case__		,     image_processor=snake_case__						)

         lowerCAmelCase     :     int								=							"lower newer"

         lowerCAmelCase     :     List[str]								=							processor(text=snake_case__						)

         lowerCAmelCase     :     List[str]								=							tokenizer(snake_case__						)

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

       def        lowercase__							(						self						):






         """simple docstring"""





         lowerCAmelCase     :     List[str]								=							self.get_image_processor()
         lowerCAmelCase     :     Union[str, Any]								=							self.get_tokenizer()

         lowerCAmelCase     :     Optional[Any]								=							CLIPProcessor(tokenizer=snake_case__		,     image_processor=snake_case__						)

         lowerCAmelCase     :     List[str]								=							"lower newer"
         lowerCAmelCase     :     int								=							self.prepare_image_inputs()

         lowerCAmelCase     :     List[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        lowercase__							(						self						):






         """simple docstring"""





         lowerCAmelCase     :     List[str]								=							self.get_image_processor()
         lowerCAmelCase     :     Optional[int]								=							self.get_tokenizer()

         lowerCAmelCase     :     str								=							CLIPProcessor(tokenizer=snake_case__		,     image_processor=snake_case__						)

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

         lowerCAmelCase     :     List[Any]								=							processor.batch_decode(snake_case__						)
         lowerCAmelCase     :     List[Any]								=							tokenizer.batch_decode(snake_case__						)

         self.assertListEqual(snake_case__		,     snake_case__						)







       def        lowercase__							(						self						):






         """simple docstring"""





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

         lowerCAmelCase     :     List[str]								=							CLIPProcessor(tokenizer=snake_case__		,     image_processor=snake_case__						)

         lowerCAmelCase     :     Optional[Any]								=							"lower newer"
         lowerCAmelCase     :     List[Any]								=							self.prepare_image_inputs()

         lowerCAmelCase     :     Tuple								=							processor(text=snake_case__		,     images=snake_case__						)

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









"""simple docstring"""







lowerCAmelCase__      				=   [
    '''Audio''',
    '''Array2D''',
    '''Array3D''',
    '''Array4D''',
    '''Array5D''',
    '''ClassLabel''',
    '''Features''',
    '''Sequence''',
    '''Value''',
    '''Image''',
    '''Translation''',
    '''TranslationVariableLanguages''',
]
from .audio import Audio
from .features import ArrayaD, ArrayaD, ArrayaD, ArrayaD, ClassLabel, Features, Sequence, Value
from .image import Image
from .translation import Translation, TranslationVariableLanguages





