

from statistics import mean

import numpy as np

def 		UpperCamelCase   (lowercase_:					list       , lowercase_:					list       , lowercase_:					list       , lowercase_:					int   )	-> list:
	A__				:       int	  =						0
	# Number of processes finished
	A__				:       Tuple	  =						0
	# Displays the finished process.
	# If it is 0, the performance is completed if it is 1, before the performance.
	A__				:       Optional[int]	  =						[0] * no_of_process
	# List to include calculation results
	A__				:       Tuple	  =						[0] * no_of_process

	# Sort by arrival time.
	A__				:       Optional[int]	  =						[burst_time[i] for i in np.argsort(lowercase_   )]
	A__				:       Tuple	  =						[process_name[i] for i in np.argsort(lowercase_   )]
	arrival_time.sort()

	while no_of_process > finished_process_count:
		A__				:       Optional[int]	  =						0
		while finished_process[i] == 1:
			i += 1
		if current_time < arrival_time[i]:
			A__				:       Union[str, Any]	  =						arrival_time[i]

		A__				:       Dict	  =						0
		# Index showing the location of the process being performed
		A__				:       Tuple	  =						0
		# Saves the current response ratio.
		A__				:       Optional[Any]	  =						0
		for i in range(0       , lowercase_   ):
			if finished_process[i] == 0 and arrival_time[i] <= current_time:
				A__				:       Union[str, Any]	  =						(burst_time[i] + (current_time - arrival_time[i])) / burst_time[
				    i
				]
			if response_ratio < temp:
				A__				:       List[Any]	  =						temp
				A__				:       Optional[Any]	  =						i

        # Calculate the turn around time
		A__				:       Optional[int]	  =						current_time + burst_time[loc] - arrival_time[loc]
		current_time += burst_time[loc]
		# Indicates that the process has been performed.
		A__				:       Optional[Any]	  =						1
		# Increase finished_process_count by 1
		finished_process_count += 1

	return turn_around_time

def 		UpperCamelCase   (lowercase_:					list       , lowercase_:					list       , lowercase_:					list       , lowercase_:					int   )	-> list:
	A__				:       Any	  =						[0] * no_of_process
	for i in range(0       , lowercase_   ):
		A__				:       Tuple	  =						turn_around_time[i] - burst_time[i]
	return waiting_time


if __name__ == "__main__":
	A_			:					int    			=     5
	A_			:					Dict    			=     ['A', 'B', 'C', 'D', 'E']
	A_			:					Dict    			=     [1, 2, 3, 4, 5]
	A_			:					Dict    			=     [1, 2, 3, 4, 5]

	A_			:					str    			=     calculate_turn_around_time(
	    process_name, arrival_time, burst_time, no_of_process
	)
	A_			:					Any    			=     calculate_waiting_time(
	    process_name, turn_around_time, burst_time, no_of_process
	)

	print('Process name \tArrival time \tBurst time \tTurn around time \tWaiting time')
	for i in range(0, no_of_process):
		print(
		    f'''{process_name[i]}\t\t{arrival_time[i]}\t\t{burst_time[i]}\t\t'''
		    f'''{turn_around_time[i]}\t\t\t{waiting_time[i]}'''
		)

	print(f'''average waiting time : {mean(waiting_time):.5f}''')
	print(f'''average turn around time : {mean(turn_around_time):.5f}''')






import collections
import os
import re
from pathlib import Path


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


# Matches is_xxx_available()
A_			:					Any    			=     re.compile(r'is\_([a-z_]*)_available()')
# Catches a one-line _import_struct = {xxx}
A_			:					Optional[int]    			=     re.compile(r'^_import_structure\s+=\s+\{([^\}]+)\}')
# Catches a line with a key-values pattern: "bla": ["foo", "bar"]
A_			:					Dict    			=     re.compile(r'\s+"\S*":\s+\[([^\]]*)\]')
# Catches a line if not is_foo_available
A_			:					Dict    			=     re.compile(r'^\s*if\s+not\s+is\_[a-z_]*\_available\(\)')
# Catches a line _import_struct["bla"].append("foo")
A_			:					Tuple    			=     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_			:					List[Any]    			=     re.compile(r'^\s*_import_structure\[\S*\](?:\.extend\(|\s*=\s+)\[([^\]]*)\]')
# Catches a line with an object between quotes and a comma:     "MyModel",
A_			:					Dict    			=     re.compile(r'^\s+"([^"]+)",')
# Catches a line with objects between brackets only:    ["foo", "bar"],
A_			:					Tuple    			=     re.compile(r'^\s+\[([^\]]+)\]')
# Catches a line with from foo import bar, bla, boo
A_			:					Union[str, Any]    			=     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 		UpperCamelCase   (lowercase_:					Optional[Any]   )	-> Any:
	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 		UpperCamelCase   (lowercase_:					Any   )	-> Dict:
	with open(lowercase_       , """r"""       , encoding="""utf-8"""       , newline="""\n"""   ) as f:
		A__				:       Optional[Any]	  =						f.readlines()

	A__				:       Optional[Any]	  =						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__				:       List[Any]	  =						[]
	while not lines[line_index].startswith("""if TYPE_CHECKING"""   ) and find_backend(lines[line_index]   ) is None:
		A__				:       Tuple	  =						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__				:       str	  =						_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__				:       int	  =						_re_import_struct_key_value.search(lowercase_   )
		if single_line_import_search is not None:
			A__				:       int	  =						[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__				:       str	  =						{"""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__				:       Optional[int]	  =						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__				:       List[str]	  =						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__				:       Tuple	  =						[]
			# Until we unindent, add backend objects to the list
			while len(lines[line_index]   ) <= 1 or lines[line_index].startswith(""" """ * 4   ):
				A__				:       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__				:       Any	  =						_re_import_struct_add_many.search(lowercase_   ).groups()[0].split(""", """   )
					A__				:       int	  =						[obj[1:-1] for obj in imports if len(lowercase_   ) > 0]
					objects.extend(lowercase_   )
				elif _re_between_brackets.search(lowercase_   ) is not None:
					A__				:       Any	  =						_re_between_brackets.search(lowercase_   ).groups()[0].split(""", """   )
					A__				:       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__				:       List[str]	  =						objects
		else:
			line_index += 1

    # At this stage we are in the TYPE_CHECKING part, first grab the objects without a specific backend
	A__				:       Any	  =						[]
	while (
	    line_index < len(lowercase_   )
	    and find_backend(lines[line_index]   ) is None
	    and not lines[line_index].startswith("""else"""   )
	):
		A__				:       Dict	  =						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(""" """ * 8   ):
			objects.append(line[8:-2]   )
		line_index += 1

	A__				:       List[str]	  =						{"""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__				:       Optional[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__				:       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[str]	  =						[]
			# Until we unindent, add backend objects to the list
			while len(lines[line_index]   ) <= 1 or lines[line_index].startswith(""" """ * 8   ):
				A__				:       Union[str, Any]	  =						lines[line_index]
				A__				:       List[str]	  =						_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__				:       Tuple	  =						objects
		else:
			line_index += 1

	return import_dict_objects, type_hint_objects

def 		UpperCamelCase   (lowercase_:					Optional[Any]       , lowercase_:					Union[str, Any]   )	-> List[Any]:

	def find_duplicates(lowercase_:					Tuple   ):
		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__				:       str	  =						[]
	for key in import_dict_objects.keys():
		A__				:       Optional[int]	  =						find_duplicates(import_dict_objects[key]   )
		if duplicate_imports:
			errors.append(f"""Duplicate _import_structure definitions for: {duplicate_imports}"""   )
		A__				:       Tuple	  =						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__				:       Tuple	  =						"""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   ()	-> str:
	A__				:       str	  =						[]
	for root, _, files in os.walk(lowercase_   ):
		if "__init__.py" in files:
			A__				:       Tuple	  =						os.path.join(lowercase_       , """__init__.py"""   )
			A__				:       Union[str, Any]	  =						parse_init(lowercase_   )
			if objects is not None:
				A__				:       List[Any]	  =						analyze_results(*lowercase_   )
				if len(lowercase_   ) > 0:
					A__				:       int	  =						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 		UpperCamelCase   ()	-> Dict:
	A__				:       int	  =						[]
	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__				:       Union[str, Any]	  =						str((Path(lowercase_   ) / folder).relative_to(lowercase_   )   )
			A__				:       List[str]	  =						short_path.replace(os.path.sep       , """."""   )
			submodules.append(lowercase_   )
		for fname in files:
			if fname == "__init__.py":
				continue
			A__				:       Any	  =						str((Path(lowercase_   ) / fname).relative_to(lowercase_   )   )
			A__				:       Union[str, Any]	  =						short_path.replace(""".py"""       , """"""   ).replace(os.path.sep       , """."""   )
			if len(submodule.split("""."""   )   ) == 1:
				submodules.append(lowercase_   )
	return submodules


A_			:					str    			=     [
    'convert_pytorch_checkpoint_to_tf2',
    'modeling_flax_pytorch_utils',
    'models.esm.openfold_utils',
]

def 		UpperCamelCase   ()	-> str:
	# This is to make sure the transformers module imported is the one in the repo.
	from transformers.utils import direct_transformers_import

	A__				:       Any	  =						direct_transformers_import(lowercase_   )

	A__				:       List[str]	  =						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__				:       str	  =						f.read()
	import_structure_keys.update(set(re.findall(r"""import_structure\[\"([^\"]*)\"\]"""       , lowercase_   )   )   )

	A__				:       Union[str, 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__				:       Dict	  =						"""\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()



