
"""simple docstring"""




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


lowerCAmelCase__				=					'src/transformers'


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



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



def 							_lowerCamelCase			(			__a     ):
		with open(__a,				'''r''',				encoding='''utf-8''',				newline='''\n'''     ) as f:
				SCREAMING_SNAKE_CASE_    			=			f.readlines()

		SCREAMING_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
		SCREAMING_SNAKE_CASE_    			=			[]
		while not lines[line_index].startswith('''if TYPE_CHECKING'''     ) and find_backend(lines[line_index]     ) is None:
				SCREAMING_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     ):
						SCREAMING_SNAKE_CASE_    			=			_re_one_line_import_struct.search(__a     ).groups()[0]
						SCREAMING_SNAKE_CASE_    			=			re.findall('''\[([^\]]+)\]''',				__a     )
						for imp in imports:
								objects.extend([obj[1:-1] for obj in imp.split(''', '''     )]     )
						line_index += 1
						continue
				SCREAMING_SNAKE_CASE_    			=			_re_import_struct_key_value.search(__a     )
				if single_line_import_search is not None:
						SCREAMING_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

		SCREAMING_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.
				SCREAMING_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:
						SCREAMING_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

						SCREAMING_SNAKE_CASE_    			=			[]
						# Until we unindent, add backend objects to the list
						while len(lines[line_index]     ) <= 1 or lines[line_index].startswith(''' ''' * 4     ):
								SCREAMING_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:
										SCREAMING_SNAKE_CASE_    			=			_re_import_struct_add_many.search(__a     ).groups()[0].split(''', '''     )
										SCREAMING_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:
										SCREAMING_SNAKE_CASE_    			=			_re_between_brackets.search(__a     ).groups()[0].split(''', '''     )
										SCREAMING_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

						SCREAMING_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
		SCREAMING_SNAKE_CASE_    			=			[]
		while (
		    line_index < len(__a     )
		    and find_backend(lines[line_index]     ) is None
		    and not lines[line_index].startswith('''else'''     )
		):
				SCREAMING_SNAKE_CASE_    			=			lines[line_index]
				SCREAMING_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

		SCREAMING_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.
				SCREAMING_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:
						SCREAMING_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

						SCREAMING_SNAKE_CASE_    			=			[]
						# Until we unindent, add backend objects to the list
						while len(lines[line_index]     ) <= 1 or lines[line_index].startswith(''' ''' * 8     ):
								SCREAMING_SNAKE_CASE_    			=			lines[line_index]
								SCREAMING_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

						SCREAMING_SNAKE_CASE_    			=			objects
				else:
						line_index += 1

		return import_dict_objects, type_hint_objects



def 							_lowerCamelCase			(			__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!"]

		SCREAMING_SNAKE_CASE_    			=			[]
		for key in import_dict_objects.keys():
				SCREAMING_SNAKE_CASE_    			=			find_duplicates(import_dict_objects[key]     )
				if duplicate_imports:
						errors.append(F'Duplicate _import_structure definitions for: {duplicate_imports}'     )
				SCREAMING_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]     )     ):
						SCREAMING_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 							_lowerCamelCase			(			):
		SCREAMING_SNAKE_CASE_    			=			[]
		for root, _, files in os.walk(__a     ):
				if "__init__.py" in files:
						SCREAMING_SNAKE_CASE_    			=			os.path.join(__a,				'''__init__.py'''     )
						SCREAMING_SNAKE_CASE_    			=			parse_init(__a     )
						if objects is not None:
								SCREAMING_SNAKE_CASE_    			=			analyze_results(*__a     )
								if len(__a     ) > 0:
										SCREAMING_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 							_lowerCamelCase			(			):
		SCREAMING_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
						SCREAMING_SNAKE_CASE_    			=			str((Path(__a     ) / folder).relative_to(__a     )     )
						SCREAMING_SNAKE_CASE_    			=			short_path.replace(os.path.sep,				'''.'''     )
						submodules.append(__a     )
				for fname in files:
						if fname == "__init__.py":
								continue
						SCREAMING_SNAKE_CASE_    			=			str((Path(__a     ) / fname).relative_to(__a     )     )
						SCREAMING_SNAKE_CASE_    			=			short_path.replace('''.py''',				''''''     ).replace(os.path.sep,				'''.'''     )
						if len(submodule.split('''.'''     )     ) == 1:
								submodules.append(__a     )
		return submodules


lowerCAmelCase__				=					[
    'convert_pytorch_checkpoint_to_tf2',
    'modeling_flax_pytorch_utils',
]



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

		SCREAMING_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:
				SCREAMING_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()

"""simple docstring"""




import argparse
import json
from pathlib import Path

import requests
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from timm import create_model
from timm.data import resolve_data_config
from timm.data.transforms_factory import create_transform

from transformers import BitConfig, BitForImageClassification, BitImageProcessor
from transformers.image_utils import PILImageResampling
from transformers.utils import logging


logging.set_verbosity_info()
lowerCAmelCase__				=					logging.get_logger(__name__)



def 							_lowerCamelCase			(			__a     ):
		SCREAMING_SNAKE_CASE_    			=			'''huggingface/label-files'''
		SCREAMING_SNAKE_CASE_    			=			'''imagenet-1k-id2label.json'''
		SCREAMING_SNAKE_CASE_    			=			json.load(open(hf_hub_download(__a,				__a,				repo_type='''dataset'''     ),				'''r'''     )     )
		SCREAMING_SNAKE_CASE_    			=			{int(__a     ): v for k, v in idalabel.items()}
		SCREAMING_SNAKE_CASE_    			=			{v: k for k, v in idalabel.items()}

		SCREAMING_SNAKE_CASE_    			=			'''std_conv''' if '''bit''' in model_name else False

		# note that when using BiT as backbone for ViT-hybrid checkpoints,
		# one needs to additionally set config.layer_type = "bottleneck", config.stem_type = "same",
		# config.conv_layer = "std_conv_same"
		SCREAMING_SNAKE_CASE_    			=			BitConfig(
		    conv_layer=__a,				num_labels=1_000,				idalabel=__a,				labelaid=__a,				)

		return config



def 							_lowerCamelCase			(			__a     ):
		if "stem.conv" in name:
				SCREAMING_SNAKE_CASE_    			=			name.replace('''stem.conv''',				'''bit.embedder.convolution'''     )
		if "blocks" in name:
				SCREAMING_SNAKE_CASE_    			=			name.replace('''blocks''',				'''layers'''     )
		if "head.fc" in name:
				SCREAMING_SNAKE_CASE_    			=			name.replace('''head.fc''',				'''classifier.1'''     )
		if name.startswith('''norm'''     ):
				SCREAMING_SNAKE_CASE_    			=			'''bit.''' + name
		if "bit" not in name and "classifier" not in name:
				SCREAMING_SNAKE_CASE_    			=			'''bit.encoder.''' + name

		return name



def 							_lowerCamelCase			(			):
		SCREAMING_SNAKE_CASE_    			=			'''http://images.cocodataset.org/val2017/000000039769.jpg'''
		SCREAMING_SNAKE_CASE_    			=			Image.open(requests.get(__a,				stream=__a     ).raw     )
		return im



@torch.no_grad()
def 							_lowerCamelCase			(			__a,				__a,				__a=False     ):
		SCREAMING_SNAKE_CASE_    			=			get_config(__a     )

		# load original model from timm
		SCREAMING_SNAKE_CASE_    			=			create_model(__a,				pretrained=__a     )
		timm_model.eval()

		# load state_dict of original model
		SCREAMING_SNAKE_CASE_    			=			timm_model.state_dict()
		for key in state_dict.copy().keys():
				SCREAMING_SNAKE_CASE_    			=			state_dict.pop(__a     )
				SCREAMING_SNAKE_CASE_    			=			val.squeeze() if '''head''' in key else val

		# load HuggingFace model
		SCREAMING_SNAKE_CASE_    			=			BitForImageClassification(__a     )
		model.eval()
		model.load_state_dict(__a     )

		# create image processor
		SCREAMING_SNAKE_CASE_    			=			create_transform(**resolve_data_config({},				model=__a     )     )
		SCREAMING_SNAKE_CASE_    			=			transform.transforms

		SCREAMING_SNAKE_CASE_    			=			{
		    '''bilinear''': PILImageResampling.BILINEAR,
		    '''bicubic''': PILImageResampling.BICUBIC,
		    '''nearest''': PILImageResampling.NEAREST,
		}

		SCREAMING_SNAKE_CASE_    			=			BitImageProcessor(
		    do_resize=__a,				size={'''shortest_edge''': timm_transforms[0].size},				resample=pillow_resamplings[timm_transforms[0].interpolation.value],				do_center_crop=__a,				crop_size={'''height''': timm_transforms[1].size[0], '''width''': timm_transforms[1].size[1]},				do_normalize=__a,				image_mean=timm_transforms[-1].mean.tolist(),				image_std=timm_transforms[-1].std.tolist(),				)

		SCREAMING_SNAKE_CASE_    			=			prepare_img()
		SCREAMING_SNAKE_CASE_    			=			transform(__a     ).unsqueeze(0     )
		SCREAMING_SNAKE_CASE_    			=			processor(__a,				return_tensors='''pt'''     ).pixel_values

		# verify pixel values
		assert torch.allclose(__a,				__a     )

		# verify logits
		with torch.no_grad():
				SCREAMING_SNAKE_CASE_    			=			model(__a     )
				SCREAMING_SNAKE_CASE_    			=			outputs.logits

		print('''Logits:''',				logits[0, :3]     )
		print('''Predicted class:''',				model.config.idalabel[logits.argmax(-1     ).item()]     )
		SCREAMING_SNAKE_CASE_    			=			timm_model(__a     )
		assert timm_logits.shape == outputs.logits.shape
		assert torch.allclose(__a,				outputs.logits,				atol=1E-3     )
		print('''Looks ok!'''     )

		if pytorch_dump_folder_path is not None:
				Path(__a     ).mkdir(exist_ok=__a     )
				print(F'Saving model {model_name} and processor to {pytorch_dump_folder_path}'     )
				model.save_pretrained(__a     )
				processor.save_pretrained(__a     )

		if push_to_hub:
				print(F'Pushing model {model_name} and processor to the hub'     )
				model.push_to_hub(F'ybelkada/{model_name}'     )
				processor.push_to_hub(F'ybelkada/{model_name}'     )


if __name__ == "__main__":
						lowerCAmelCase__				=					argparse.ArgumentParser()
						# Required parameters
						parser.add_argument(
						    '--model_name',
						    default='resnetv2_50x1_bitm',
						    type=str,
						    help='Name of the BiT timm model you\'d like to convert.',
						)
						parser.add_argument(
						    '--pytorch_dump_folder_path', default=None, type=str, help='Path to the output PyTorch model directory.'
						)
						parser.add_argument(
						    '--push_to_hub',
						    action='store_true',
						    help='Whether to push the model to the hub.',
						)

						lowerCAmelCase__				=					parser.parse_args()
						convert_bit_checkpoint(args.model_name, args.pytorch_dump_folder_path, args.push_to_hub)