





"""simple docstring"""




import collections
import os
import re
from pathlib import Path


a		:					List[str]	      =     '''src/transformers'''


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






def  _SCREAMING_SNAKE_CASE						(      _lowercase		:       str   )					->Union[str, Any]:






	'''simple docstring'''






	if _re_test_backend.search(_lowercase   ) is None:
		return None
	a :						Optional[int]      =							[b[0] for b in _re_backend.findall(_lowercase   )]
	backends.sort()
	return "_and_".join(_lowercase   )






def  _SCREAMING_SNAKE_CASE						(      _lowercase		:       int   )					->Any:






	'''simple docstring'''






	with open(_lowercase       ,			"r"       ,			encoding="utf-8"       ,			newline="\n"   ) as f:
		a :						Any      =							f.readlines()

	a :						Optional[int]      =							0
	while line_index < len(_lowercase   ) and not lines[line_index].startswith("_import_structure = {"   ):
		line_index += 1

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

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

	a :						List[Any]      =							{"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.
		a :						Dict      =							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:
			a :						Union[str, Any]      =							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

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

			a :						Any      =							objects
		else:
			line_index += 1

    # At this stage we are in the TYPE_CHECKING part, first grab the objects without a specific backend
	a :						Optional[int]      =							[]
	while (
	    line_index < len(_lowercase   )
	    and find_backend(lines[line_index]   ) is None
	    and not lines[line_index].startswith("else"   )
	):
		a :						List[Any]      =							lines[line_index]
		a :						Dict      =							_re_import.search(_lowercase   )
		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

	a :						Any      =							{"none": objects}
	# Let's continue with backend-specific objects
	while line_index < len(_lowercase   ):
		# If the line is an if is_backend_available, we grab all objects associated.
		a :						Union[str, Any]      =							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:
			a :						Tuple      =							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

			a :						List[str]      =							[]
			# Until we unindent, add backend objects to the list
			while len(lines[line_index]   ) <= 1 or lines[line_index].startswith(" " * 8   ):
				a :						Optional[Any]      =							lines[line_index]
				a :						Any      =							_re_import.search(_lowercase   )
				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

			a :						Optional[Any]      =							objects
		else:
			line_index += 1

	return import_dict_objects, type_hint_objects






def  _SCREAMING_SNAKE_CASE						(      _lowercase		:       int       ,			_lowercase		:       List[str]   )					->Optional[Any]:






	'''simple docstring'''






	def find_duplicates(_lowercase		:       Any   ):
		return [k for k, v in collections.Counter(_lowercase   ).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!"]

	a :						Tuple      =							[]
	for key in import_dict_objects.keys():
		a :						Tuple      =							find_duplicates(import_dict_objects[key]   )
		if duplicate_imports:
			errors.append(F"""Duplicate _import_structure definitions for: {duplicate_imports}"""   )
		a :						Union[str, Any]      =							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]   )   ):
			a :						int      =							"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  _SCREAMING_SNAKE_CASE						(      )					->List[Any]:






	'''simple docstring'''






	a :						str      =							[]
	for root, _, files in os.walk(_lowercase   ):
		if "__init__.py" in files:
			a :						List[str]      =							os.path.join(_lowercase       ,			"__init__.py"   )
			a :						Union[str, Any]      =							parse_init(_lowercase   )
			if objects is not None:
				a :						Dict      =							analyze_results(*_lowercase   )
				if len(_lowercase   ) > 0:
					a :						Optional[Any]      =							F"""Problem in {fname}, both halves do not define the same objects.\n{errors[0]}"""
					failures.append("\n".join(_lowercase   )   )
	if len(_lowercase   ) > 0:
		raise ValueError("\n\n".join(_lowercase   )   )






def  _SCREAMING_SNAKE_CASE						(      )					->int:






	'''simple docstring'''






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


a		:					Dict	      =     [
    '''convert_pytorch_checkpoint_to_tf2''',
    '''modeling_flax_pytorch_utils''',
    '''models.esm.openfold_utils''',
]






def  _SCREAMING_SNAKE_CASE						(      )					->str:






	'''simple docstring'''






	from transformers.utils import direct_transformers_import

	a :						List[str]      =							direct_transformers_import(_lowercase   )

	a :						Any      =							set(transformers._import_structure.keys()   )
	# This contains all the base keys of the _import_structure object defined in the init, but if the user is missing
	# some optional dependencies, they may not have all of them. Thus we read the init to read all additions and
	# (potentiall re-) add them.
	with open(os.path.join(_lowercase       ,			"__init__.py"   )       ,			"r"   ) as f:
		a :						Any      =							f.read()
	import_structure_keys.update(set(re.findall(R"import_structure\[\"([^\"]*)\"\]"       ,			_lowercase   )   )   )

	a :						Optional[Any]      =							[
	    module
	    for module in get_transformers_submodules()
	    if module not in IGNORE_SUBMODULES and module not in import_structure_keys
	]

	if len(_lowercase   ) > 0:
		a :						Tuple      =							"\n".join(F"""- {module}""" for module in module_not_registered   )
		raise ValueError(
		    "The following submodules are not properly registed 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 gc
import threading
import time

import psutil
import torch


class 			__UpperCamelCase							:






							def __init__(  self )      ->					Any:
								a :						str      =							psutil.Process()
								a :						str      =							False






							def        __a  (  self )      ->					str:
								a :						List[Any]      =							-1

								while True:
									a :						str      =							max(self.process.memory_info().rss ,   self.cpu_memory_peak )

									# can't sleep or will not catch the peak right (this comment is here on purpose)
									if not self.peak_monitoring:
										break






							def        __a  (  self )      ->					List[str]:
								a :						Dict      =							True
								a :						Optional[Any]      =							threading.Thread(target=self.peak_monitor )
								a :						List[Any]      =							True
								self.thread.start()






							def        __a  (  self )      ->					List[str]:
								a :						Optional[int]      =							False
								self.thread.join()
								return self.cpu_memory_peak
a		:					Tuple	      =     PeakCPUMemory()






def  _SCREAMING_SNAKE_CASE						(      )					->List[Any]:






	'''simple docstring'''






	a :						List[str]      =							{"time": time.time()}

	gc.collect()
	torch.cuda.empty_cache()

	# CPU mem
	a :						Tuple      =							psutil.Process().memory_info().rss
	cpu_peak_tracker.start()

	# GPU mem
	for i in range(torch.cuda.device_count()   ):
		a :						Any      =							torch.cuda.memory_allocated(_lowercase   )
	torch.cuda.reset_peak_memory_stats()

	return measures






def  _SCREAMING_SNAKE_CASE						(      _lowercase		:       List[str]   )					->Union[str, Any]:






	'''simple docstring'''






	a :						int      =							{"time": time.time() - start_measures["time"]}

	gc.collect()
	torch.cuda.empty_cache()

	# CPU mem
	a :						List[Any]      =							(psutil.Process().memory_info().rss - start_measures["cpu"]) / 2**20
	a :						Union[str, Any]      =							(cpu_peak_tracker.stop() - start_measures["cpu"]) / 2**20

	# GPU mem
	for i in range(torch.cuda.device_count()   ):
		a :						Optional[Any]      =							(torch.cuda.memory_allocated(_lowercase   ) - start_measures[str(_lowercase   )]) / 2**20
		a :						Optional[Any]      =							(torch.cuda.max_memory_allocated(_lowercase   ) - start_measures[str(_lowercase   )]) / 2**20

	return measures







def  _SCREAMING_SNAKE_CASE						(      _lowercase		:       str       ,			_lowercase		:       Union[str, Any]   )					->Optional[int]:






	'''simple docstring'''






	print(F"""{description}:"""   )
	print(F"""- Time: {measures['time']:.2f}s"""   )
	for i in range(torch.cuda.device_count()   ):
		print(F"""- GPU {i} allocated: {measures[str(_lowercase   )]:.2f}MiB"""   )
		a :						str      =							measures[F"""{i}-peak"""]
		print(F"""- GPU {i} peak: {peak:.2f}MiB"""   )
	print(F"""- CPU RAM allocated: {measures['cpu']:.2f}MiB"""   )
	print(F"""- CPU RAM peak: {measures['cpu-peak']:.2f}MiB"""   )


