"""simple docstring"""





from typing import Any, Dict, List, Union

from ..utils import add_end_docstrings, is_torch_available, is_vision_available, logging, requires_backends
from .base import PIPELINE_INIT_ARGS, ChunkPipeline


if is_vision_available():
       from PIL import Image

       from ..image_utils import load_image

if is_torch_available():
       import torch

       from transformers.modeling_outputs import BaseModelOutput

       from ..models.auto.modeling_auto import MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING

_UpperCamelCase   :						Dict      =    logging.get_logger(__name__)


@add_end_docstrings(_a)
class      UpperCAmelCase_	(    _a):


      def __init__(   self		,			**a							)       ->					Dict:
             super().__init__(**a							)

             if self.framework == "tf":
                    raise ValueError(f"""The {self.__class__} is only available in PyTorch."""							)

             requires_backends(self		,			'vision'							)
             self.check_model_type(a							)


      def __call__(   self		,			a		,			a = None		,			**a		,			)       ->					List[str]:
             if "text_queries" in kwargs:
                    lowercase__			:		Optional[Any]       =	kwargs.pop('text_queries'							)

             if isinstance(a		,			(str, Image.Image)							):
                    lowercase__			:		Optional[Any]       =	{'image': image, 'candidate_labels': candidate_labels}
             else:
                    lowercase__			:		List[str]       =	image
             lowercase__			:		Optional[Any]       =	super().__call__(a		,			**a							)
             return results


      def 		_UpperCAmelCase       (   self		,			**a							)       ->					Dict:
             lowercase__			:		Optional[Any]       =	{}
             if "threshold" in kwargs:
                    lowercase__			:		Tuple       =	kwargs['threshold']
             if "top_k" in kwargs:
                    lowercase__			:		List[Any]       =	kwargs['top_k']
             return {}, {}, postprocess_params


      def 		_UpperCAmelCase       (   self		,			a							)       ->					Dict:
             lowercase__			:		Any       =	load_image(inputs['image']							)
             lowercase__			:		Optional[int]       =	inputs['candidate_labels']
             if isinstance(a		,			a							):
                    lowercase__			:		Optional[int]       =	candidate_labels.split(','							)

             lowercase__			:		Optional[int]       =	torch.tensor([[image.height, image.width]]		,			dtype=torch.intaa							)
             for i, candidate_label in enumerate(a							):
                    lowercase__			:		List[str]       =	self.tokenizer(a		,			return_tensors=self.framework							)
                    lowercase__			:		List[Any]       =	self.image_processor(a		,			return_tensors=self.framework							)
                    yield {
                        "is_last": i == len(a							) - 1,
                        "target_size": target_size,
                        "candidate_label": candidate_label,
                        **text_inputs,
                        **image_features,
                    }


      def 		_UpperCAmelCase       (   self		,			a							)       ->					List[Any]:
             lowercase__			:		List[Any]       =	model_inputs.pop('target_size'							)
             lowercase__			:		Dict       =	model_inputs.pop('candidate_label'							)
             lowercase__			:		Dict       =	model_inputs.pop('is_last'							)

             lowercase__			:		Optional[int]       =	self.model(**a							)

             lowercase__			:		Any       =	{'target_size': target_size, 'candidate_label': candidate_label, 'is_last': is_last, **outputs}
             return model_outputs


      def 		_UpperCAmelCase       (   self		,			a		,			a=0.1		,			a=None							)       ->					Union[str, Any]:
             lowercase__			:		Dict       =	[]
             for model_output in model_outputs:
                    lowercase__			:		List[Any]       =	model_output['candidate_label']
                    lowercase__			:		Optional[int]       =	BaseModelOutput(a							)
                    lowercase__			:		Any       =	self.image_processor.post_process_object_detection(
                        outputs=a		,			threshold=a		,			target_sizes=model_output['target_size']							)[0]

                    for index in outputs["scores"].nonzero():
                           lowercase__			:		Union[str, Any]       =	outputs['scores'][index].item()
                           lowercase__			:		Tuple       =	self._get_bounding_box(outputs['boxes'][index][0]							)

                           lowercase__			:		Tuple       =	{'score': score, 'label': label, 'box': box}
                           results.append(a							)

             lowercase__			:		Dict       =	sorted(a		,			key=lambda a							: x["score"]		,			reverse=a							)
             if top_k:
                    lowercase__			:		Dict       =	results[:top_k]

             return results


      def 		_UpperCAmelCase       (   self		,			a							)       ->					Dict[str, int]:
             if self.framework != "pt":
                    raise ValueError('The ZeroShotObjectDetectionPipeline is only available in PyTorch.'							)
             lowercase__    ,      lowercase__    ,      lowercase__    ,      lowercase__			:		Tuple       =	box.int().tolist()
             lowercase__			:		Any       =	{
                 'xmin': xmin,
                 'ymin': ymin,
                 'xmax': xmax,
                 'ymax': ymax,
             }
             return bbox









import collections
import importlib.util
import os
import re
from pathlib import Path


lowercase  							=					"src/transformers"


# Matches is_xxx_available()
lowercase  							=					re.compile(r"is\_([a-z_]*)_available()")
# Catches a one-line _import_struct = {xxx}
lowercase  							=					re.compile(r"^_import_structure\s+=\s+\{([^\}]+)\}")
# Catches a line with a key-values pattern: "bla": ["foo", "bar"]
lowercase  							=					re.compile(r"\s+\"\S*\":\s+\[([^\]]*)\]")
# Catches a line if not is_foo_available
lowercase  							=					re.compile(r"^\s*if\s+not\s+is\_[a-z_]*\_available\(\)")
# Catches a line _import_struct["bla"].append("foo")
lowercase  							=					re.compile(r"^\s*_import_structure\[\"\S*\"\]\.append\(\"(\S*)\"\)")
# Catches a line _import_struct["bla"].extend(["foo", "bar"]) or _import_struct["bla"] = ["foo", "bar"]
lowercase  							=					re.compile(r"^\s*_import_structure\[\S*\](?:\.extend\(|\s*=\s+)\[([^\]]*)\]")
# Catches a line with an object between quotes and a comma:     "MyModel",
lowercase  							=					re.compile("^\s+\"([^\"]+)\",")
# Catches a line with objects between brackets only:    ["foo", "bar"],
lowercase  							=					re.compile("^\s+\[([^\]]+)\]")
# Catches a line with from foo import bar, bla, boo
lowercase  							=					re.compile(r"\s+from\s+\S*\s+import\s+([^\(\s].*)\n")
# Catches a line with try:
lowercase  							=					re.compile(r"^\s*try:")
# Catches a line with else:
lowercase  							=					re.compile(r"^\s*else:")





def 						__UpperCAmelCase			(     a_):
							if _re_test_backend.search(a_) is None:
														return None
							snake_case_				=							[b[0] for b in _re_backend.findall(a_)]
							backends.sort()
							return "_and_".join(a_)





def 						__UpperCAmelCase			(     a_):
							with open(a_							,     'r'							,     encoding='utf-8'							,     newline='\n') as f:
														snake_case_				=							f.readlines()

							snake_case_				=							0
							while line_index < len(a_) and not lines[line_index].startswith('_import_structure = {'):
														line_index += 1

							# If this is a traditional init, just return.
							if line_index >= len(a_):
														return None

							# First grab the objects without a specific backend in _import_structure
							snake_case_				=							[]
							while not lines[line_index].startswith('if TYPE_CHECKING') and find_backend(lines[line_index]) is None:
														snake_case_				=							lines[line_index]
														# If we have everything on a single line, let's deal with it.
														if _re_one_line_import_struct.search(a_):
																					snake_case_				=							_re_one_line_import_struct.search(a_).groups()[0]
																					snake_case_				=							re.findall('\[([^\]]+)\]'							,     a_)
																					for imp in imports:
																												objects.extend([obj[1:-1] for obj in imp.split(', ')])
																					line_index += 1
																					continue
														snake_case_				=							_re_import_struct_key_value.search(a_)
														if single_line_import_search is not None:
																					snake_case_				=							[obj[1:-1] for obj in single_line_import_search.groups()[0].split(', ') if len(a_) > 0]
																					objects.extend(a_)
														elif line.startswith(' ' * 8 + '"'):
																					objects.append(line[9:-3])
														line_index += 1

							snake_case_				=							{'none': objects}
							# Let's continue with backend-specific objects in _import_structure
							while not lines[line_index].startswith('if TYPE_CHECKING'):
														# If the line is an if not is_backend_available, we grab all objects associated.
														snake_case_				=							find_backend(lines[line_index])
														# Check if the backend declaration is inside a try block:
														if _re_try.search(lines[line_index - 1]) is None:
																					snake_case_				=							None

														if backend is not None:
																					line_index += 1

																					# Scroll until we hit the else block of try-except-else
																					while _re_else.search(lines[line_index]) is None:
																												line_index += 1

																					line_index += 1

																					snake_case_				=							[]
																					# Until we unindent, add backend objects to the list
																					while len(lines[line_index]) <= 1 or lines[line_index].startswith(' ' * 4):
																												snake_case_				=							lines[line_index]
																												if _re_import_struct_add_one.search(a_) is not None:
																																			objects.append(_re_import_struct_add_one.search(a_).groups()[0])
																												elif _re_import_struct_add_many.search(a_) is not None:
																																			snake_case_				=							_re_import_struct_add_many.search(a_).groups()[0].split(', ')
																																			snake_case_				=							[obj[1:-1] for obj in imports if len(a_) > 0]
																																			objects.extend(a_)
																												elif _re_between_brackets.search(a_) is not None:
																																			snake_case_				=							_re_between_brackets.search(a_).groups()[0].split(', ')
																																			snake_case_				=							[obj[1:-1] for obj in imports if len(a_) > 0]
																																			objects.extend(a_)
																												elif _re_quote_object.search(a_) is not None:
																																			objects.append(_re_quote_object.search(a_).groups()[0])
																												elif line.startswith(' ' * 8 + '"'):
																																			objects.append(line[9:-3])
																												elif line.startswith(' ' * 12 + '"'):
																																			objects.append(line[13:-3])
																												line_index += 1

																					snake_case_				=							objects
														else:
																					line_index += 1

    # At this stage we are in the TYPE_CHECKING part, first grab the objects without a specific backend
							snake_case_				=							[]
							while (
							    line_index < len(a_)
							    and find_backend(lines[line_index]) is None
							    and not lines[line_index].startswith('else')
							):
														snake_case_				=							lines[line_index]
														snake_case_				=							_re_import.search(a_)
														if single_line_import_search is not None:
																					objects.extend(single_line_import_search.groups()[0].split(', '))
														elif line.startswith(' ' * 8):
																					objects.append(line[8:-2])
														line_index += 1

							snake_case_				=							{'none': objects}
							# Let's continue with backend-specific objects
							while line_index < len(a_):
														# If the line is an if is_backend_available, we grab all objects associated.
														snake_case_				=							find_backend(lines[line_index])
														# Check if the backend declaration is inside a try block:
														if _re_try.search(lines[line_index - 1]) is None:
																					snake_case_				=							None

														if backend is not None:
																					line_index += 1

																					# Scroll until we hit the else block of try-except-else
																					while _re_else.search(lines[line_index]) is None:
																												line_index += 1

																					line_index += 1

																					snake_case_				=							[]
																					# Until we unindent, add backend objects to the list
																					while len(lines[line_index]) <= 1 or lines[line_index].startswith(' ' * 8):
																												snake_case_				=							lines[line_index]
																												snake_case_				=							_re_import.search(a_)
																												if single_line_import_search is not None:
																																			objects.extend(single_line_import_search.groups()[0].split(', '))
																												elif line.startswith(' ' * 12):
																																			objects.append(line[12:-2])
																												line_index += 1

																					snake_case_				=							objects
														else:
																					line_index += 1

							return import_dict_objects, type_hint_objects





def 						__UpperCAmelCase			(     a_							,     a_):

							def find_duplicates(a_):
														return [k for k, v in collections.Counter(a_).items() if v > 1]

							if list(import_dict_objects.keys()) != list(type_hint_objects.keys()):
														return ["Both sides of the init do not have the same backends!"]

							snake_case_				=							[]
							for key in import_dict_objects.keys():
														snake_case_				=							find_duplicates(import_dict_objects[key])
														if duplicate_imports:
																					errors.append(f'''Duplicate _import_structure definitions for: {duplicate_imports}''')
														snake_case_				=							find_duplicates(type_hint_objects[key])
														if duplicate_type_hints:
																					errors.append(f'''Duplicate TYPE_CHECKING objects for: {duplicate_type_hints}''')

														if sorted(set(import_dict_objects[key])) != sorted(set(type_hint_objects[key])):
																					snake_case_				=							'base imports' if key == 'none' else f'''{key} backend'''
																					errors.append(f'''Differences for {name}:''')
																					for a in type_hint_objects[key]:
																												if a not in import_dict_objects[key]:
																																			errors.append(f'''  {a} in TYPE_HINT but not in _import_structure.''')
																					for a in import_dict_objects[key]:
																												if a not in type_hint_objects[key]:
																																			errors.append(f'''  {a} in _import_structure but not in TYPE_HINT.''')
							return errors





def 						__UpperCAmelCase			(     ):
							snake_case_				=							[]
							for root, _, files in os.walk(a_):
														if "__init__.py" in files:
																					snake_case_				=							os.path.join(a_							,     '__init__.py')
																					snake_case_				=							parse_init(a_)
																					if objects is not None:
																												snake_case_				=							analyze_results(*a_)
																												if len(a_) > 0:
																																			snake_case_				=							f'''Problem in {fname}, both halves do not define the same objects.\n{errors[0]}'''
																																			failures.append('\n'.join(a_))
							if len(a_) > 0:
														raise ValueError('\n\n'.join(a_))





def 						__UpperCAmelCase			(     ):
							snake_case_				=							[]
							for path, directories, files in os.walk(a_):
														for folder in directories:
																					# Ignore private modules
																					if folder.startswith('_'):
																												directories.remove(a_)
																												continue
																					# Ignore leftovers from branches (empty folders apart from pycache)
																					if len(list((Path(a_) / folder).glob('*.py'))) == 0:
																												continue
																					snake_case_				=							str((Path(a_) / folder).relative_to(a_))
																					snake_case_				=							short_path.replace(os.path.sep							,     '.')
																					submodules.append(a_)
														for fname in files:
																					if fname == "__init__.py":
																												continue
																					snake_case_				=							str((Path(a_) / fname).relative_to(a_))
																					snake_case_				=							short_path.replace('.py'							,     '').replace(os.path.sep							,     '.')
																					if len(submodule.split('.')) == 1:
																												submodules.append(a_)
							return submodules


lowercase  							=					[
    "convert_pytorch_checkpoint_to_tf2",
    "modeling_flax_pytorch_utils",
]





def 						__UpperCAmelCase			(     ):
							# This is to make sure the transformers module imported is the one in the repo.
							snake_case_				=							importlib.util.spec_from_file_location(
							    'transformers'							,     os.path.join(a_							,     '__init__.py')							,     submodule_search_locations=[PATH_TO_TRANSFORMERS]							,     )
							snake_case_				=							spec.loader.load_module()

							snake_case_				=							[
							    module
							    for module in get_transformers_submodules()
							    if module not in IGNORE_SUBMODULES and module not in transformers._import_structure.keys()
							]
							if len(a_) > 0:
														snake_case_				=							'\n'.join(f'''- {module}''' for module in module_not_registered)
														raise ValueError(
														    'The following submodules are not properly registered in the main init of Transformers:\n'
														    f'''{list_of_modules}\n'''
														    'Make sure they appear somewhere in the keys of `_import_structure` with an empty list as value.')


if __name__ == "__main__":
	check_all_inits()
	check_submodules()





