'''simple docstring'''




import math
import sys

def 	UpperCamelCase_							(					_UpperCAmelCase  :      str    )    ->    str:


       """simple docstring"""







       _UpperCAmelCase     :  Any							      =    ""
       try:
              with open(_UpperCAmelCase			,	"rb"    ) as binary_file:
                     _UpperCAmelCase     :  Union[str, Any]							      =    binary_file.read()
              for dat in data:
                     _UpperCAmelCase     :  int							      =    F"""{dat:08b}"""
                     result += curr_byte
              return result
       except OSError:
              print("File not accessible"    )
              sys.exit()

def 	UpperCamelCase_							(					_UpperCAmelCase  :      str    )    ->    str:


       """simple docstring"""







       _UpperCAmelCase     :  Optional[Any]							      =    {"0": "0", "1": "1"}
       _UpperCAmelCase      ,  _UpperCAmelCase     :  str							      =    "", ""
       _UpperCAmelCase     :  Any							      =    len(_UpperCAmelCase    )

       for i in range(len(_UpperCAmelCase    )    ):
              curr_string += data_bits[i]
              if curr_string not in lexicon:
                     continue

              _UpperCAmelCase     :  List[Any]							      =    lexicon[curr_string]
              result += last_match_id
              _UpperCAmelCase     :  Tuple							      =    last_match_id + "0"

              if math.loga(_UpperCAmelCase    ).is_integer():
                     _UpperCAmelCase     :  List[Any]							      =    {}
                     for curr_key in list(_UpperCAmelCase    ):
                            _UpperCAmelCase     :  Any							      =    lexicon.pop(_UpperCAmelCase    )
                     _UpperCAmelCase     :  int							      =    new_lex

              _UpperCAmelCase     :  Dict							      =    last_match_id + "1"
              index += 1
              _UpperCAmelCase     :  Tuple							      =    ""
       return result

def 	UpperCamelCase_							(					_UpperCAmelCase  :      str			,	_UpperCAmelCase  :      str    )    ->    None:


       """simple docstring"""







       _UpperCAmelCase     :  Tuple							      =    8
       try:
              with open(_UpperCAmelCase			,	"wb"    ) as opened_file:
                     _UpperCAmelCase     :  str							      =    [
                         to_write[i : i + byte_length]
                         for i in range(0			,	len(_UpperCAmelCase    )			,	_UpperCAmelCase    )
                     ]

                     if len(result_byte_array[-1]    ) % byte_length == 0:
                            result_byte_array.append("10000000"    )
                     else:
                            result_byte_array[-1] += "1" + "0" * (
                                byte_length - len(result_byte_array[-1]    ) - 1
                            )

                     for elem in result_byte_array[:-1]:
                            opened_file.write(int(_UpperCAmelCase			,	2    ).to_bytes(1			,	byteorder="big"    )    )
       except OSError:
              print("File not accessible"    )
              sys.exit()

def 	UpperCamelCase_							(					_UpperCAmelCase  :      str    )    ->    str:


       """simple docstring"""







       _UpperCAmelCase     :  Tuple							      =    0
       for letter in data_bits:
              if letter == "1":
                     break
              counter += 1

       _UpperCAmelCase     :  List[Any]							      =    data_bits[counter:]
       _UpperCAmelCase     :  Union[str, Any]							      =    data_bits[counter + 1 :]
       return data_bits

def 	UpperCamelCase_							(					_UpperCAmelCase  :      str			,	_UpperCAmelCase  :      str    )    ->    None:


       """simple docstring"""







       _UpperCAmelCase     :  Optional[int]							      =    read_file_binary(_UpperCAmelCase    )
       _UpperCAmelCase     :  List[Any]							      =    remove_prefix(_UpperCAmelCase    )
       _UpperCAmelCase     :  Tuple							      =    decompress_data(_UpperCAmelCase    )
       write_file_binary(_UpperCAmelCase			,	_UpperCAmelCase    )


if __name__ == "__main__":
  compress(sys.argv[1], sys.argv[2])





"""simple docstring"""






import unittest

from transformers import MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING, is_vision_available, pipeline
from transformers.testing_utils import (
    is_pipeline_test,
    nested_simplify,
    require_tf,
    require_torch,
    require_vision,
    slow,
)

from .test_pipelines_common import ANY


if is_vision_available():
							from PIL import Image
else:





							class      lowerCamelCase__   :







												"""simple docstring"""


												@staticmethod
												def lowerCamelCase__							(       *UpperCamelCase    : List[str] ,       **UpperCamelCase    : Any  ):
																			'''simple docstring'''






																			pass





@is_pipeline_test
@require_vision
@require_torch
class      lowerCamelCase__   (     unittest.TestCase				):







					"""simple docstring"""


					__a	       =							MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING






					def lowerCamelCase__							(       self    : List[str] ,       UpperCamelCase    : Tuple ,       UpperCamelCase    : Optional[int] ,       UpperCamelCase    : Tuple  ):
												'''simple docstring'''






												__UpperCAmelCase   :						Optional[int]      							=					pipeline(
												    """zero-shot-object-detection""" ,       model="""hf-internal-testing/tiny-random-owlvit-object-detection"""  )

												__UpperCAmelCase   :						Tuple      							=					[
												    {
												        """image""": """./tests/fixtures/tests_samples/COCO/000000039769.png""",
												        """candidate_labels""": ["""cat""", """remote""", """couch"""],
												    }
												]
												return object_detector, examples






					def lowerCamelCase__							(       self    : int ,       UpperCamelCase    : Optional[int] ,       UpperCamelCase    : List[Any]  ):
												'''simple docstring'''






												__UpperCAmelCase   :						Union[str, Any]      							=					object_detector(examples[0] ,       threshold=0.0  )

												__UpperCAmelCase   :						Tuple      							=					len(UpperCamelCase  )
												self.assertGreater(UpperCamelCase ,       0  )
												self.assertEqual(
												    UpperCamelCase ,       [
												        {
												            """score""": ANY(UpperCamelCase  ),
												            """label""": ANY(UpperCamelCase  ),
												            """box""": {"""xmin""": ANY(UpperCamelCase  ), """ymin""": ANY(UpperCamelCase  ), """xmax""": ANY(UpperCamelCase  ), """ymax""": ANY(UpperCamelCase  )},
												        }
												        for i in range(UpperCamelCase  )
												    ] ,       )






					@require_tf
					@unittest.skip("""Zero Shot Object Detection not implemented in TF"""  )
					def lowerCamelCase__							(       self    : Optional[int]  ):
												'''simple docstring'''






												pass






					@require_torch
					def lowerCamelCase__							(       self    : Union[str, Any]  ):
												'''simple docstring'''






												__UpperCAmelCase   :						Tuple      							=					pipeline(
												    """zero-shot-object-detection""" ,       model="""hf-internal-testing/tiny-random-owlvit-object-detection"""  )

												__UpperCAmelCase   :						Tuple      							=					object_detector(
												    """./tests/fixtures/tests_samples/COCO/000000039769.png""" ,       candidate_labels=["""cat""", """remote""", """couch"""] ,       threshold=0.64 ,       )

												self.assertEqual(
												    nested_simplify(UpperCamelCase ,       decimals=4  ) ,       [
												        {"""score""": 0.7235, """label""": """cat""", """box""": {"""xmin""": 204, """ymin""": 167, """xmax""": 232, """ymax""": 190}},
												        {"""score""": 0.7218, """label""": """remote""", """box""": {"""xmin""": 204, """ymin""": 167, """xmax""": 232, """ymax""": 190}},
												        {"""score""": 0.7184, """label""": """couch""", """box""": {"""xmin""": 204, """ymin""": 167, """xmax""": 232, """ymax""": 190}},
												        {"""score""": 0.6748, """label""": """remote""", """box""": {"""xmin""": 571, """ymin""": 83, """xmax""": 598, """ymax""": 103}},
												        {"""score""": 0.6656, """label""": """cat""", """box""": {"""xmin""": 571, """ymin""": 83, """xmax""": 598, """ymax""": 103}},
												        {"""score""": 0.6614, """label""": """couch""", """box""": {"""xmin""": 571, """ymin""": 83, """xmax""": 598, """ymax""": 103}},
												        {"""score""": 0.6456, """label""": """remote""", """box""": {"""xmin""": 494, """ymin""": 105, """xmax""": 521, """ymax""": 127}},
												        {"""score""": 0.642, """label""": """remote""", """box""": {"""xmin""": 67, """ymin""": 274, """xmax""": 93, """ymax""": 297}},
												        {"""score""": 0.6419, """label""": """cat""", """box""": {"""xmin""": 494, """ymin""": 105, """xmax""": 521, """ymax""": 127}},
												    ] ,       )

												__UpperCAmelCase   :						Any      							=					object_detector(
												    [
												        {
												            """image""": """./tests/fixtures/tests_samples/COCO/000000039769.png""",
												            """candidate_labels""": ["""cat""", """remote""", """couch"""],
												        }
												    ] ,       threshold=0.64 ,       )

												self.assertEqual(
												    nested_simplify(UpperCamelCase ,       decimals=4  ) ,       [
												        [
												            {"""score""": 0.7235, """label""": """cat""", """box""": {"""xmin""": 204, """ymin""": 167, """xmax""": 232, """ymax""": 190}},
												            {"""score""": 0.7218, """label""": """remote""", """box""": {"""xmin""": 204, """ymin""": 167, """xmax""": 232, """ymax""": 190}},
												            {"""score""": 0.7184, """label""": """couch""", """box""": {"""xmin""": 204, """ymin""": 167, """xmax""": 232, """ymax""": 190}},
												            {"""score""": 0.6748, """label""": """remote""", """box""": {"""xmin""": 571, """ymin""": 83, """xmax""": 598, """ymax""": 103}},
												            {"""score""": 0.6656, """label""": """cat""", """box""": {"""xmin""": 571, """ymin""": 83, """xmax""": 598, """ymax""": 103}},
												            {"""score""": 0.6614, """label""": """couch""", """box""": {"""xmin""": 571, """ymin""": 83, """xmax""": 598, """ymax""": 103}},
												            {"""score""": 0.6456, """label""": """remote""", """box""": {"""xmin""": 494, """ymin""": 105, """xmax""": 521, """ymax""": 127}},
												            {"""score""": 0.642, """label""": """remote""", """box""": {"""xmin""": 67, """ymin""": 274, """xmax""": 93, """ymax""": 297}},
												            {"""score""": 0.6419, """label""": """cat""", """box""": {"""xmin""": 494, """ymin""": 105, """xmax""": 521, """ymax""": 127}},
												        ]
												    ] ,       )






					@require_torch
					@slow
					def lowerCamelCase__							(       self    : Optional[int]  ):
												'''simple docstring'''






												__UpperCAmelCase   :						Any      							=					pipeline("""zero-shot-object-detection"""  )

												__UpperCAmelCase   :						int      							=					object_detector(
												    """http://images.cocodataset.org/val2017/000000039769.jpg""" ,       candidate_labels=["""cat""", """remote""", """couch"""] ,       )
												self.assertEqual(
												    nested_simplify(UpperCamelCase ,       decimals=4  ) ,       [
												        {"""score""": 0.2868, """label""": """cat""", """box""": {"""xmin""": 324, """ymin""": 20, """xmax""": 640, """ymax""": 373}},
												        {"""score""": 0.277, """label""": """remote""", """box""": {"""xmin""": 40, """ymin""": 72, """xmax""": 177, """ymax""": 115}},
												        {"""score""": 0.2537, """label""": """cat""", """box""": {"""xmin""": 1, """ymin""": 55, """xmax""": 315, """ymax""": 472}},
												        {"""score""": 0.1474, """label""": """remote""", """box""": {"""xmin""": 335, """ymin""": 74, """xmax""": 371, """ymax""": 187}},
												        {"""score""": 0.1208, """label""": """couch""", """box""": {"""xmin""": 4, """ymin""": 0, """xmax""": 642, """ymax""": 476}},
												    ] ,       )

												__UpperCAmelCase   :						List[str]      							=					object_detector(
												    [
												        {
												            """image""": """http://images.cocodataset.org/val2017/000000039769.jpg""",
												            """candidate_labels""": ["""cat""", """remote""", """couch"""],
												        },
												        {
												            """image""": """http://images.cocodataset.org/val2017/000000039769.jpg""",
												            """candidate_labels""": ["""cat""", """remote""", """couch"""],
												        },
												    ] ,       )
												self.assertEqual(
												    nested_simplify(UpperCamelCase ,       decimals=4  ) ,       [
												        [
												            {"""score""": 0.2868, """label""": """cat""", """box""": {"""xmin""": 324, """ymin""": 20, """xmax""": 640, """ymax""": 373}},
												            {"""score""": 0.277, """label""": """remote""", """box""": {"""xmin""": 40, """ymin""": 72, """xmax""": 177, """ymax""": 115}},
												            {"""score""": 0.2537, """label""": """cat""", """box""": {"""xmin""": 1, """ymin""": 55, """xmax""": 315, """ymax""": 472}},
												            {"""score""": 0.1474, """label""": """remote""", """box""": {"""xmin""": 335, """ymin""": 74, """xmax""": 371, """ymax""": 187}},
												            {"""score""": 0.1208, """label""": """couch""", """box""": {"""xmin""": 4, """ymin""": 0, """xmax""": 642, """ymax""": 476}},
												        ],
												        [
												            {"""score""": 0.2868, """label""": """cat""", """box""": {"""xmin""": 324, """ymin""": 20, """xmax""": 640, """ymax""": 373}},
												            {"""score""": 0.277, """label""": """remote""", """box""": {"""xmin""": 40, """ymin""": 72, """xmax""": 177, """ymax""": 115}},
												            {"""score""": 0.2537, """label""": """cat""", """box""": {"""xmin""": 1, """ymin""": 55, """xmax""": 315, """ymax""": 472}},
												            {"""score""": 0.1474, """label""": """remote""", """box""": {"""xmin""": 335, """ymin""": 74, """xmax""": 371, """ymax""": 187}},
												            {"""score""": 0.1208, """label""": """couch""", """box""": {"""xmin""": 4, """ymin""": 0, """xmax""": 642, """ymax""": 476}},
												        ],
												    ] ,       )






					@require_tf
					@unittest.skip("""Zero Shot Object Detection not implemented in TF"""  )
					def lowerCamelCase__							(       self    : Any  ):
												'''simple docstring'''






												pass






					@require_torch
					@slow
					def lowerCamelCase__							(       self    : str  ):
												'''simple docstring'''






												__UpperCAmelCase   :						List[str]      							=					0.2
												__UpperCAmelCase   :						List[Any]      							=					pipeline("""zero-shot-object-detection"""  )

												__UpperCAmelCase   :						Any      							=					object_detector(
												    """http://images.cocodataset.org/val2017/000000039769.jpg""" ,       candidate_labels=["""cat""", """remote""", """couch"""] ,       threshold=UpperCamelCase ,       )
												self.assertEqual(
												    nested_simplify(UpperCamelCase ,       decimals=4  ) ,       [
												        {"""score""": 0.2868, """label""": """cat""", """box""": {"""xmin""": 324, """ymin""": 20, """xmax""": 640, """ymax""": 373}},
												        {"""score""": 0.277, """label""": """remote""", """box""": {"""xmin""": 40, """ymin""": 72, """xmax""": 177, """ymax""": 115}},
												        {"""score""": 0.2537, """label""": """cat""", """box""": {"""xmin""": 1, """ymin""": 55, """xmax""": 315, """ymax""": 472}},
												    ] ,       )






					@require_torch
					@slow
					def lowerCamelCase__							(       self    : int  ):
												'''simple docstring'''






												__UpperCAmelCase   :						List[Any]      							=					2
												__UpperCAmelCase   :						Union[str, Any]      							=					pipeline("""zero-shot-object-detection"""  )

												__UpperCAmelCase   :						List[str]      							=					object_detector(
												    """http://images.cocodataset.org/val2017/000000039769.jpg""" ,       candidate_labels=["""cat""", """remote""", """couch"""] ,       top_k=UpperCamelCase ,       )
												self.assertEqual(
												    nested_simplify(UpperCamelCase ,       decimals=4  ) ,       [
												        {"""score""": 0.2868, """label""": """cat""", """box""": {"""xmin""": 324, """ymin""": 20, """xmax""": 640, """ymax""": 373}},
												        {"""score""": 0.277, """label""": """remote""", """box""": {"""xmin""": 40, """ymin""": 72, """xmax""": 177, """ymax""": 115}},
												    ] ,       )
