
import argparse
import os
import re


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_dummies.py
UpperCamelCase_   	=	"""src/diffusers"""

# Matches is_xxx_available()
UpperCamelCase_   	=	re.compile(R"is\_([a-z_]*)_available\(\)")
# Matches from xxx import bla
UpperCamelCase_   	=	re.compile(R"\s+from\s+\S*\s+import\s+([^\(\s].*)\n")


UpperCamelCase_   	=	"""
{0} = None
"""

UpperCamelCase_   	=	"""
class {0}(metaclass=DummyObject):
    _backends = {1}

    def __init__(self, *args, **kwargs):
        requires_backends(self, {1})

    @classmethod
    def from_config(cls, *args, **kwargs):
        requires_backends(cls, {1})

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, {1})
"""


UpperCamelCase_   	=	"""
def {0}(*args, **kwargs):
    requires_backends({0}, {1})
"""






def 		_UpperCAmelCase   (	UpperCamelCase:     List[Any]  ):






	"""simple docstring"""


	__lowerCAmelCase         =							_re_backend.findall(UpperCamelCase  )
	if len(UpperCamelCase  ) == 0:
		return None

	return "_and_".join(UpperCamelCase  )






def 		_UpperCAmelCase   (	):






	"""simple docstring"""


	with open(os.path.join(UpperCamelCase			,							"__init__.py"  )			,							"r"			,							encoding="utf-8"			,							newline="\n"  ) as f:
		__lowerCAmelCase         =							f.readlines()

	# Get to the point we do the actual imports for type checking
	__lowerCAmelCase         =							0
	__lowerCAmelCase         =							{}
	# Go through the end of the file
	while line_index < len(UpperCamelCase  ):
		# If the line contains is_backend_available, we grab all objects associated with the `else` block
		__lowerCAmelCase         =							find_backend(lines[line_index]  )
		if backend is not None:
			while not lines[line_index].startswith("else:"  ):
				line_index += 1
			line_index += 1
			__lowerCAmelCase         =							[]
			# Until we unindent, add backend objects to the list
			while line_index < len(UpperCamelCase  ) and len(lines[line_index]  ) > 1:
				__lowerCAmelCase         =							lines[line_index]
				__lowerCAmelCase         =							_re_single_line_import.search(UpperCamelCase  )
				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

			if len(UpperCamelCase  ) > 0:
				__lowerCAmelCase         =							objects
		else:
			line_index += 1

	return backend_specific_objects






def 		_UpperCAmelCase   (	UpperCamelCase:     Union[str, Any]			,							UpperCamelCase:     Optional[Any]  ):






	"""simple docstring"""


	if name.isupper():
		return DUMMY_CONSTANT.format(UpperCamelCase  )
	elif name.islower():
		return DUMMY_FUNCTION.format(UpperCamelCase			,							UpperCamelCase  )
	else:
		return DUMMY_CLASS.format(UpperCamelCase			,							UpperCamelCase  )






def 		_UpperCAmelCase   (	UpperCamelCase:     int=None  ):






	"""simple docstring"""


	if backend_specific_objects is None:
		__lowerCAmelCase         =							read_init()
	# For special correspondence backend to module name as used in the function requires_modulename
	__lowerCAmelCase         =							{}

	for backend, objects in backend_specific_objects.items():
		__lowerCAmelCase         =							"[" + ", ".join(F"\"{b}\"" for b in backend.split("_and_"  )  ) + "]"
		__lowerCAmelCase         =							"# This file is autogenerated by the command `make fix-copies`, do not edit.\n"
		dummy_file += "from ..utils import DummyObject, requires_backends\n\n"
		dummy_file += "\n".join([create_dummy_object(UpperCamelCase			,							UpperCamelCase  ) for o in objects]  )
		__lowerCAmelCase         =							dummy_file

	return dummy_files






def 		_UpperCAmelCase   (	UpperCamelCase:     Tuple=False  ):






	"""simple docstring"""


	__lowerCAmelCase         =							create_dummy_files()
	# For special correspondence backend to shortcut as used in utils/dummy_xxx_objects.py
	__lowerCAmelCase         =							{"torch": "pt"}

	# Locate actual dummy modules and read their content.
	__lowerCAmelCase         =							os.path.join(UpperCamelCase			,							"utils"  )
	__lowerCAmelCase         =							{
	    backend: os.path.join(UpperCamelCase			,							F"dummy_{short_names.get(UpperCamelCase			,							UpperCamelCase  )}_objects.py"  )
	    for backend in dummy_files.keys()
	}

	__lowerCAmelCase         =							{}
	for backend, file_path in dummy_file_paths.items():
		if os.path.isfile(UpperCamelCase  ):
			with open(UpperCamelCase			,							"r"			,							encoding="utf-8"			,							newline="\n"  ) as f:
				__lowerCAmelCase         =							f.read()
		else:
			__lowerCAmelCase         =							""

	for backend in dummy_files.keys():
		if dummy_files[backend] != actual_dummies[backend]:
			if overwrite:
				print(
				    F"Updating diffusers.utils.dummy_{short_names.get(UpperCamelCase			,							UpperCamelCase  )}_objects.py as the main "
				    "__init__ has new objects."  )
				with open(dummy_file_paths[backend]			,							"w"			,							encoding="utf-8"			,							newline="\n"  ) as f:
					f.write(dummy_files[backend]  )
			else:
				raise ValueError(
				    "The main __init__ has objects that are not present in "
				    F"diffusers.utils.dummy_{short_names.get(UpperCamelCase			,							UpperCamelCase  )}_objects.py. Run `make fix-copies` "
				    "to fix this."  )


if __name__ == "__main__":
					UpperCamelCase_   	=	argparse.ArgumentParser()
					parser.add_argument("--fix_and_overwrite", action="store_true", help="Whether to fix inconsistencies.")
					UpperCamelCase_   	=	parser.parse_args()

					check_dummies(args.fix_and_overwrite)






from __future__ import annotations

from math import ceil, floor, sqrt






def 		_UpperCAmelCase   (	UpperCamelCase:     int = 2_0_0_0_0_0_0  ):






	"""simple docstring"""


	__lowerCAmelCase         =							[0]
	__lowerCAmelCase         =							42

	for idx in range(1			,							ceil(sqrt(target * 2  ) * 1.1  )  ):
		triangle_numbers.append(triangle_numbers[-1] + idx  )

	# we want this to be as close as possible to target
	__lowerCAmelCase         =							0
	# the area corresponding to the grid that gives the product closest to target
	__lowerCAmelCase         =							0
	# an estimate of b, using the quadratic formula
	__lowerCAmelCase         =							42
	# the largest integer less than b_estimate
	__lowerCAmelCase         =							42
	# the largest integer less than b_estimate
	__lowerCAmelCase         =							42
	# the triangle number corresponding to b_floor
	__lowerCAmelCase         =							42
	# the triangle number corresponding to b_ceil
	__lowerCAmelCase         =							42

	for idx_a, triangle_a in enumerate(triangle_numbers[1:]			,							1  ):
		__lowerCAmelCase         =							(-1 + sqrt(1 + 8 * target / triangle_a  )) / 2
		__lowerCAmelCase         =							floor(UpperCamelCase  )
		__lowerCAmelCase         =							ceil(UpperCamelCase  )
		__lowerCAmelCase         =							triangle_numbers[b_floor]
		__lowerCAmelCase         =							triangle_numbers[b_ceil]

		if abs(target - triangle_b_first_guess * triangle_a  ) < abs(
		    target - best_product  ):
			__lowerCAmelCase         =							triangle_b_first_guess * triangle_a
			__lowerCAmelCase         =							idx_a * b_floor

		if abs(target - triangle_b_second_guess * triangle_a  ) < abs(
		    target - best_product  ):
			__lowerCAmelCase         =							triangle_b_second_guess * triangle_a
			__lowerCAmelCase         =							idx_a * b_ceil

	return area


if __name__ == "__main__":
					print(f'''{solution() = }''')






