






'''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 OwlViTImageProcessor, OwlViTProcessor

@require_vision
class _lowercase			(       unittest.TestCase	):




							def 	lowerCamelCase_       (							self:       int  ):
														lowerCamelCase__      :			List[Any] 						= tempfile.mkdtemp()

														# fmt: off
														lowerCamelCase__      :			int 						= ["""""", """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__      :			int 						= dict(zip(UpperCamelCase__    ,							range(len(UpperCamelCase__  )  )  )  )
														lowerCamelCase__      :			Tuple 						= ["""#version: 0.2""", """l o""", """lo w</w>""", """e r</w>""", """"""]
														lowerCamelCase__      :			Any 						= {"""unk_token""": """<unk>"""}

														lowerCamelCase__      :			int 						= os.path.join(self.tmpdirname    ,							VOCAB_FILES_NAMES["""vocab_file"""]  )
														lowerCamelCase__      :			str 						= 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(UpperCamelCase__  ) + """\n"""  )
														with open(self.merges_file    ,							"""w"""    ,							encoding="""utf-8"""  ) as fp:
																					fp.write("""\n""".join(UpperCamelCase__  )  )

														lowerCamelCase__      :			List[Any] 						= {
														    """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__      :			Any 						= os.path.join(self.tmpdirname    ,							UpperCamelCase__  )
														with open(self.image_processor_file    ,							"""w"""    ,							encoding="""utf-8"""  ) as fp:
																					json.dump(UpperCamelCase__    ,							UpperCamelCase__  )




							def 	lowerCamelCase_       (							self:       List[Any]    ,							**UpperCamelCase__:       Optional[Any]  ):
														return CLIPTokenizer.from_pretrained(self.tmpdirname    ,							pad_token="""!"""    ,							**UpperCamelCase__  )




							def 	lowerCamelCase_       (							self:       Tuple    ,							**UpperCamelCase__:       List[str]  ):
														return CLIPTokenizerFast.from_pretrained(self.tmpdirname    ,							pad_token="""!"""    ,							**UpperCamelCase__  )




							def 	lowerCamelCase_       (							self:       Tuple    ,							**UpperCamelCase__:       Optional[Any]  ):
														return OwlViTImageProcessor.from_pretrained(self.tmpdirname    ,							**UpperCamelCase__  )




							def 	lowerCamelCase_       (							self:       Union[str, Any]  ):
														shutil.rmtree(self.tmpdirname  )




							def 	lowerCamelCase_       (							self:       int  ):
														lowerCamelCase__      :			Any 						= [np.random.randint(255    ,							size=(3, 30, 400)    ,							dtype=np.uinta  )]

														lowerCamelCase__      :			Optional[Any] 						= [Image.fromarray(np.moveaxis(UpperCamelCase__    ,							0    ,							-1  )  ) for x in image_inputs]

														return image_inputs




							def 	lowerCamelCase_       (							self:       List[str]  ):
														lowerCamelCase__      :			Optional[int] 						= self.get_tokenizer()
														lowerCamelCase__      :			Dict 						= self.get_rust_tokenizer()
														lowerCamelCase__      :			List[Any] 						= self.get_image_processor()

														lowerCamelCase__      :			List[str] 						= OwlViTProcessor(tokenizer=UpperCamelCase__    ,							image_processor=UpperCamelCase__  )
														processor_slow.save_pretrained(self.tmpdirname  )
														lowerCamelCase__      :			List[Any] 						= OwlViTProcessor.from_pretrained(self.tmpdirname    ,							use_fast=UpperCamelCase__  )

														lowerCamelCase__      :			Union[str, Any] 						= OwlViTProcessor(tokenizer=UpperCamelCase__    ,							image_processor=UpperCamelCase__  )
														processor_fast.save_pretrained(self.tmpdirname  )
														lowerCamelCase__      :			Optional[Any] 						= OwlViTProcessor.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    ,							UpperCamelCase__  )
														self.assertIsInstance(processor_fast.tokenizer    ,							UpperCamelCase__  )

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




							def 	lowerCamelCase_       (							self:       Optional[int]  ):
														lowerCamelCase__      :			Union[str, Any] 						= OwlViTProcessor(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__      :			Optional[Any] 						= self.get_image_processor(do_normalize=UpperCamelCase__  )

														lowerCamelCase__      :			Union[str, Any] 						= OwlViTProcessor.from_pretrained(
														    self.tmpdirname    ,							bos_token="""(BOS)"""    ,							eos_token="""(EOS)"""    ,							do_normalize=UpperCamelCase__  )

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

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




							def 	lowerCamelCase_       (							self:       List[Any]  ):
														lowerCamelCase__      :			List[str] 						= self.get_image_processor()
														lowerCamelCase__      :			int 						= self.get_tokenizer()

														lowerCamelCase__      :			Union[str, Any] 						= OwlViTProcessor(tokenizer=UpperCamelCase__    ,							image_processor=UpperCamelCase__  )

														lowerCamelCase__      :			Union[str, Any] 						= self.prepare_image_inputs()

														lowerCamelCase__      :			Union[str, Any] 						= image_processor(UpperCamelCase__    ,							return_tensors="""np"""  )
														lowerCamelCase__      :			Union[str, Any] 						= processor(images=UpperCamelCase__    ,							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:       Union[str, Any]  ):
														lowerCamelCase__      :			Optional[Any] 						= self.get_image_processor()
														lowerCamelCase__      :			Optional[Any] 						= self.get_tokenizer()

														lowerCamelCase__      :			List[str] 						= OwlViTProcessor(tokenizer=UpperCamelCase__    ,							image_processor=UpperCamelCase__  )

														lowerCamelCase__      :			Any 						= """lower newer"""

														lowerCamelCase__      :			List[Any] 						= processor(text=UpperCamelCase__    ,							return_tensors="""np"""  )

														lowerCamelCase__      :			Optional[Any] 						= tokenizer(UpperCamelCase__    ,							return_tensors="""np"""  )

														for key in encoded_tok.keys():
																					self.assertListEqual(encoded_tok[key][0].tolist()    ,							encoded_processor[key][0].tolist()  )




							def 	lowerCamelCase_       (							self:       Union[str, Any]  ):
														lowerCamelCase__      :			Optional[int] 						= self.get_image_processor()
														lowerCamelCase__      :			List[Any] 						= self.get_tokenizer()

														lowerCamelCase__      :			Union[str, Any] 						= OwlViTProcessor(tokenizer=UpperCamelCase__    ,							image_processor=UpperCamelCase__  )

														lowerCamelCase__      :			Any 						= """lower newer"""
														lowerCamelCase__      :			Union[str, Any] 						= self.prepare_image_inputs()

														lowerCamelCase__      :			Dict 						= processor(text=UpperCamelCase__    ,							images=UpperCamelCase__  )

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

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




							def 	lowerCamelCase_       (							self:       str  ):
														lowerCamelCase__      :			List[Any] 						= """google/owlvit-base-patch32"""
														lowerCamelCase__      :			Optional[int] 						= OwlViTProcessor.from_pretrained(UpperCamelCase__  )

														lowerCamelCase__      :			Dict 						= ["""cat""", """nasa badge"""]
														lowerCamelCase__      :			Tuple 						= processor(text=UpperCamelCase__  )

														lowerCamelCase__      :			Any 						= 16
														self.assertListEqual(list(inputs.keys()  )    ,							["""input_ids""", """attention_mask"""]  )
														self.assertEqual(inputs["""input_ids"""].shape    ,							(2, seq_length)  )

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




							def 	lowerCamelCase_       (							self:       Optional[Any]  ):
														lowerCamelCase__      :			Any 						= """google/owlvit-base-patch32"""
														lowerCamelCase__      :			Any 						= OwlViTProcessor.from_pretrained(UpperCamelCase__  )

														lowerCamelCase__      :			List[str] 						= [["""cat""", """nasa badge"""], ["""person"""]]
														lowerCamelCase__      :			Any 						= processor(text=UpperCamelCase__  )

														lowerCamelCase__      :			Tuple 						= 16
														lowerCamelCase__      :			Optional[Any] 						= len(UpperCamelCase__  )
														lowerCamelCase__      :			str 						= max([len(UpperCamelCase__  ) for texts in input_texts]  )

														self.assertListEqual(list(inputs.keys()  )    ,							["""input_ids""", """attention_mask"""]  )
														self.assertEqual(inputs["""input_ids"""].shape    ,							(batch_size * num_max_text_queries, seq_length)  )

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




							def 	lowerCamelCase_       (							self:       Tuple  ):
														lowerCamelCase__      :			Dict 						= """google/owlvit-base-patch32"""
														lowerCamelCase__      :			Dict 						= OwlViTProcessor.from_pretrained(UpperCamelCase__  )

														lowerCamelCase__      :			List[str] 						= ["""cat""", """nasa badge"""]
														lowerCamelCase__      :			Dict 						= processor(text=UpperCamelCase__  )

														lowerCamelCase__      :			Optional[int] 						= 16
														lowerCamelCase__      :			int 						= inputs["""input_ids"""]
														lowerCamelCase__      :			int 						= [
														    [49_406, 2_368, 49_407, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
														    [49_406, 6_841, 11_301, 49_407, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
														]

														self.assertListEqual(list(inputs.keys()  )    ,							["""input_ids""", """attention_mask"""]  )
														self.assertEqual(inputs["""input_ids"""].shape    ,							(2, seq_length)  )
														self.assertListEqual(list(input_ids[0]  )    ,							predicted_ids[0]  )
														self.assertListEqual(list(input_ids[1]  )    ,							predicted_ids[1]  )




							def 	lowerCamelCase_       (							self:       str  ):
														lowerCamelCase__      :			Optional[Any] 						= self.get_image_processor()
														lowerCamelCase__      :			List[str] 						= self.get_tokenizer()

														lowerCamelCase__      :			Any 						= OwlViTProcessor(tokenizer=UpperCamelCase__    ,							image_processor=UpperCamelCase__  )

														lowerCamelCase__      :			Optional[Any] 						= self.prepare_image_inputs()
														lowerCamelCase__      :			int 						= self.prepare_image_inputs()

														lowerCamelCase__      :			List[str] 						= processor(images=UpperCamelCase__    ,							query_images=UpperCamelCase__  )

														self.assertListEqual(list(inputs.keys()  )    ,							["""query_pixel_values""", """pixel_values"""]  )

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




							def 	lowerCamelCase_       (							self:       Union[str, Any]  ):
														lowerCamelCase__      :			Optional[int] 						= self.get_image_processor()
														lowerCamelCase__      :			Any 						= self.get_tokenizer()

														lowerCamelCase__      :			Dict 						= OwlViTProcessor(tokenizer=UpperCamelCase__    ,							image_processor=UpperCamelCase__  )

														lowerCamelCase__      :			Union[str, Any] 						= [[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

														lowerCamelCase__      :			Union[str, Any] 						= processor.batch_decode(UpperCamelCase__  )
														lowerCamelCase__      :			Tuple 						= tokenizer.batch_decode(UpperCamelCase__  )

														self.assertListEqual(UpperCamelCase__    ,							UpperCamelCase__  )









'''simple docstring'''







import os
from typing import Optional

import fsspec
from fsspec.archive import AbstractArchiveFileSystem
from fsspec.utils import DEFAULT_BLOCK_SIZE

class _lowercase			(       _lowercase	):
							a          = """"""
							a          = (
							    None  # protocol passed in prefix to the url. ex: "gzip", for gzip://file.txt::http://foo.bar/file.txt.gz
							)
							a          = None  # compression type in fsspec. ex: "gzip"
							a          = None  # extension of the filename to strip. ex: "".gz" to get file.txt from file.txt.gz




							def __init__(							self:       str    ,							UpperCamelCase__:       str = ""    ,							UpperCamelCase__:       Optional[str] = None    ,							UpperCamelCase__:       Optional[dict] = None    ,							**UpperCamelCase__:       List[Any]  ):
														super().__init__(self    ,							**UpperCamelCase__  )
														# always open as "rb" since fsspec can then use the TextIOWrapper to make it work for "r" mode
														lowerCamelCase__      :			List[Any] 						= fsspec.open(
														    UpperCamelCase__    ,							mode="""rb"""    ,							protocol=UpperCamelCase__    ,							compression=self.compression    ,							client_kwargs={
														        """requote_redirect_url""": False,  # see https://github.com/huggingface/datasets/pull/5459
														        """trust_env""": True,  # Enable reading proxy env variables.
														        **(target_options or {}).pop("""client_kwargs"""    ,							{}  ),  # To avoid issues if it was already passed.
														    }    ,							**(target_options or {})    ,							)
														lowerCamelCase__      :			str 						= os.path.basename(self.file.path.split("""::"""  )[0]  )
														lowerCamelCase__      :			Union[str, Any] 						= (
														    self.compressed_name[: self.compressed_name.rindex("""."""  )]
														    if """.""" in self.compressed_name
														    else self.compressed_name
														)
														lowerCamelCase__      :			Tuple 						= None




							@classmethod
							def 	lowerCamelCase_       (							cls:       Optional[int]    ,							UpperCamelCase__:       Optional[int]  ):
														# compressed file paths are always relative to the archive root
														return super()._strip_protocol(UpperCamelCase__  ).lstrip("""/"""  )




							def 	lowerCamelCase_       (							self:       Tuple  ):
														if self.dir_cache is None:
																					lowerCamelCase__      :			Dict 						= {**self.file.fs.info(self.file.path  ), """name""": self.uncompressed_name}
																					lowerCamelCase__      :			int 						= {f["""name"""]: f}




							def 	lowerCamelCase_       (							self:       List[str]    ,							UpperCamelCase__:       str  ):
														return self.file.open().read()




							def 	lowerCamelCase_       (							self:       Optional[int]    ,							UpperCamelCase__:       str    ,							UpperCamelCase__:       str = "rb"    ,							UpperCamelCase__:       Optional[int]=None    ,							UpperCamelCase__:       Tuple=True    ,							UpperCamelCase__:       Tuple=None    ,							**UpperCamelCase__:       Optional[Any]    ,							):
														lowerCamelCase__      :			Union[str, Any] 						= self._strip_protocol(UpperCamelCase__  )
														if mode != "rb":
																					raise ValueError(F'''Tried to read with mode {mode} on file {self.file.path} opened with mode \'rb\''''  )
														return self.file.open()



class _lowercase			(       _lowercase	):
							a          = """bz2"""
							a          = """bz2"""
							a          = """.bz2"""



class _lowercase			(       _lowercase	):
							a          = """gzip"""
							a          = """gzip"""
							a          = """.gz"""



class _lowercase			(       _lowercase	):
							a          = """lz4"""
							a          = """lz4"""
							a          = """.lz4"""



class _lowercase			(       _lowercase	):
							a          = """xz"""
							a          = """xz"""
							a          = """.xz"""



class _lowercase			(       _lowercase	):
							a          = """zstd"""
							a          = """zstd"""
							a          = """.zst"""




							def __init__(							self:       int    ,							UpperCamelCase__:       str    ,							UpperCamelCase__:       str = "rb"    ,							UpperCamelCase__:       Optional[str] = None    ,							UpperCamelCase__:       Optional[dict] = None    ,							UpperCamelCase__:       int = DEFAULT_BLOCK_SIZE    ,							**UpperCamelCase__:       Dict    ,							):
														super().__init__(
														    fo=UpperCamelCase__    ,							mode=UpperCamelCase__    ,							target_protocol=UpperCamelCase__    ,							target_options=UpperCamelCase__    ,							block_size=UpperCamelCase__    ,							**UpperCamelCase__    ,							)
														# We need to wrap the zstd decompressor to avoid this error in fsspec==2021.7.0 and zstandard==0.15.2:
														#
														# File "/Users/user/.virtualenvs/hf-datasets/lib/python3.7/site-packages/fsspec/core.py", line 145, in open
														#     out.close = close
														# AttributeError: 'zstd.ZstdDecompressionReader' object attribute 'close' is read-only
														#
														# see https://github.com/intake/filesystem_spec/issues/725
														lowerCamelCase__      :			Tuple 						= self.file.__enter__

														class _lowercase			:




																					def __init__(							self:       Optional[int]    ,							UpperCamelCase__:       Any  ):
																												lowerCamelCase__      :			Optional[int] 						= file_




																					def __enter__(							self:       List[Any]  ):
																												self._file.__enter__()
																												return self




																					def __exit__(							self:       Any    ,							*UpperCamelCase__:       str    ,							**UpperCamelCase__:       Any  ):
																												self._file.__exit__(*UpperCamelCase__    ,							**UpperCamelCase__  )




																					def __iter__(							self:       Any  ):
																												return iter(self._file  )




																					def 	lowerCamelCase_       (							self:       List[Any]  ):
																												return next(self._file  )




																					def __getattr__(							self:       List[str]    ,							UpperCamelCase__:       Dict  ):
																												return getattr(self._file    ,							UpperCamelCase__  )

														def fixed_enter(*UpperCamelCase__:       Union[str, Any]    ,							**UpperCamelCase__:       List[str]  ):
																					return WrappedFile(_enter(*UpperCamelCase__    ,							**UpperCamelCase__  )  )

														lowerCamelCase__      :			Optional[Any] 						= fixed_enter

