






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 CLIPSegProcessor, ViTImageProcessor
@require_vision
class  _UpperCAmelCase   (			unittest.TestCase      ):

				"""simple docstring"""




				def 							lowercase__  (	self		:       List[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(lowerCamelCase,    range(len(lowerCamelCase    )    )    )    )
								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(lowerCamelCase    ) + '''\n'''    )
								with open(self.merges_file,    '''w''',    encoding='''utf-8'''    ) as fp:
												fp.write('''\n'''.join(lowerCamelCase    )    )

								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,    lowerCamelCase    )
								with open(self.image_processor_file,    '''w''',    encoding='''utf-8'''    ) as fp:
												json.dump(lowerCamelCase,    lowerCamelCase    )




				def 							lowercase__  (	self		:       Any,    **lowerCamelCase		:       Optional[int]    ):

								'''simple docstring'''
								return CLIPTokenizer.from_pretrained(self.tmpdirname,    **lowerCamelCase    )




				def 							lowercase__  (	self		:       List[Any],    **lowerCamelCase		:       Optional[int]    ):

								'''simple docstring'''
								return CLIPTokenizerFast.from_pretrained(self.tmpdirname,    **lowerCamelCase    )




				def 							lowercase__  (	self		:       str,    **lowerCamelCase		:       Optional[Any]    ):

								'''simple docstring'''
								return ViTImageProcessor.from_pretrained(self.tmpdirname,    **lowerCamelCase    )




				def 							lowercase__  (	self		:       List[Any]    ):

								'''simple docstring'''
								shutil.rmtree(self.tmpdirname    )




				def 							lowercase__  (	self		:       List[Any]    ):

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

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

								return image_inputs




				def 							lowercase__  (	self		:       Any    ):

								'''simple docstring'''
								lowercase__  					=     self.get_tokenizer()
								lowercase__  					=     self.get_rust_tokenizer()
								lowercase__  					=     self.get_image_processor()

								lowercase__  					=     CLIPSegProcessor(tokenizer=lowerCamelCase,    image_processor=lowerCamelCase    )
								processor_slow.save_pretrained(self.tmpdirname    )
								lowercase__  					=     CLIPSegProcessor.from_pretrained(self.tmpdirname,    use_fast=lowerCamelCase    )

								lowercase__  					=     CLIPSegProcessor(tokenizer=lowerCamelCase,    image_processor=lowerCamelCase    )
								processor_fast.save_pretrained(self.tmpdirname    )
								lowercase__  					=     CLIPSegProcessor.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,    lowerCamelCase    )
								self.assertIsInstance(processor_fast.tokenizer,    lowerCamelCase    )

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




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

								'''simple docstring'''
								lowercase__  					=     CLIPSegProcessor(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=lowerCamelCase,    padding_value=1.0    )

								lowercase__  					=     CLIPSegProcessor.from_pretrained(
								    self.tmpdirname,    bos_token='''(BOS)''',    eos_token='''(EOS)''',    do_normalize=lowerCamelCase,    padding_value=1.0    )

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

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




				def 							lowercase__  (	self		:       List[Any]    ):

								'''simple docstring'''
								lowercase__  					=     self.get_image_processor()
								lowercase__  					=     self.get_tokenizer()

								lowercase__  					=     CLIPSegProcessor(tokenizer=lowerCamelCase,    image_processor=lowerCamelCase    )

								lowercase__  					=     self.prepare_image_inputs()

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

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




				def 							lowercase__  (	self		:       Dict    ):

								'''simple docstring'''
								lowercase__  					=     self.get_image_processor()
								lowercase__  					=     self.get_tokenizer()

								lowercase__  					=     CLIPSegProcessor(tokenizer=lowerCamelCase,    image_processor=lowerCamelCase    )

								lowercase__  					=     '''lower newer'''

								lowercase__  					=     processor(text=lowerCamelCase    )

								lowercase__  					=     tokenizer(lowerCamelCase    )

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




				def 							lowercase__  (	self		:       List[str]    ):

								'''simple docstring'''
								lowercase__  					=     self.get_image_processor()
								lowercase__  					=     self.get_tokenizer()

								lowercase__  					=     CLIPSegProcessor(tokenizer=lowerCamelCase,    image_processor=lowerCamelCase    )

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

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

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

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




				def 							lowercase__  (	self		:       Dict    ):

								'''simple docstring'''
								lowercase__  					=     self.get_image_processor()
								lowercase__  					=     self.get_tokenizer()

								lowercase__  					=     CLIPSegProcessor(tokenizer=lowerCamelCase,    image_processor=lowerCamelCase    )

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

								lowercase__  					=     processor(images=lowerCamelCase,    visual_prompt=lowerCamelCase    )

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

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




				def 							lowercase__  (	self		:       int    ):

								'''simple docstring'''
								lowercase__  					=     self.get_image_processor()
								lowercase__  					=     self.get_tokenizer()

								lowercase__  					=     CLIPSegProcessor(tokenizer=lowerCamelCase,    image_processor=lowerCamelCase    )

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

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

								self.assertListEqual(lowerCamelCase,    lowerCamelCase    )












import importlib
import shutil
import threading
import warnings
from typing import List

import fsspec
import fsspec.asyn

from . import compression
from .hffilesystem import HfFileSystem


A__      :     int       =					importlib.util.find_spec('s3fs') is not None

if _has_safs:
							from .safilesystem import SaFileSystem  # noqa: F401

A__      :     List[compression.BaseCompressedFileFileSystem]       =					[
    compression.BzaFileSystem,
    compression.GzipFileSystem,
    compression.LzaFileSystem,
    compression.XzFileSystem,
    compression.ZstdFileSystem,
]

# Register custom filesystems
for fs_class in COMPRESSION_FILESYSTEMS + [HfFileSystem]:
							if fs_class.protocol in fsspec.registry and fsspec.registry[fs_class.protocol] is not fs_class:
														warnings.warn(F"A filesystem protocol was already set for {fs_class.protocol} and will be overwritten.")
							fsspec.register_implementation(fs_class.protocol, fs_class, clobber=True)






def     a     (		lowerCamelCase_							):






				'''simple docstring'''
				if "://" in dataset_path:
								lowercase__  					=     dataset_path.split('''://'''							)[1]
				return dataset_path






def     a     (		lowerCamelCase_							):






				'''simple docstring'''
				if fs is not None and fs.protocol != "file":
								return True
				else:
								return False






def     a     (		lowerCamelCase_						,  lowerCamelCase_						,  lowerCamelCase_							):






				'''simple docstring'''
				lowercase__  					=     not is_remote_filesystem(lowerCamelCase_							)
				if is_local:
								# LocalFileSystem.mv does copy + rm, it is more efficient to simply move a local directory
								shutil.move(fs._strip_protocol(lowerCamelCase_							)						,  fs._strip_protocol(lowerCamelCase_							)							)
				else:
								fs.mv(lowerCamelCase_						,  lowerCamelCase_						,  recursive=lowerCamelCase_							)






def     a     (		):






				'''simple docstring'''
				if hasattr(fsspec.asyn						,  '''reset_lock'''							):
								# for future fsspec>2022.05.0
								fsspec.asyn.reset_lock()
				else:
								lowercase__  					=     None
								lowercase__  					=     None
								lowercase__  					=     threading.Lock()




