




import argparse
import glob
import importlib.util
import os
import re

import black
from doc_builder.style_doc import style_docstrings_in_code


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


# This is to make sure the diffusers module imported is the one in the repo.
UpperCamelCase__         =      importlib.util.spec_from_file_location(
    """diffusers""",
    os.path.join(DIFFUSERS_PATH, """__init__.py"""),
    submodule_search_locations=[DIFFUSERS_PATH],
)
UpperCamelCase__         =      spec.loader.load_module()







def      _a				(						SCREAMING_SNAKE_CASE_							:    Union[str, Any]				,				SCREAMING_SNAKE_CASE_							:    List[Any]					):
					return line.startswith(SCREAMING_SNAKE_CASE_					) or len(SCREAMING_SNAKE_CASE_					) <= 1 or re.search(R"^\s*\)(\s*->.*:|:)\s*$"				,				SCREAMING_SNAKE_CASE_					) is not None







def      _a				(						SCREAMING_SNAKE_CASE_							:    Any					):
					__lowerCAmelCase           =	object_name.split("."					)
					__lowerCAmelCase           =	0

					# First let's find the module where our object lives.
					__lowerCAmelCase           =	parts[i]
					while i < len(SCREAMING_SNAKE_CASE_					) and not os.path.isfile(os.path.join(SCREAMING_SNAKE_CASE_				,				F"""{module}.py"""					)					):
										i += 1
										if i < len(SCREAMING_SNAKE_CASE_					):
															__lowerCAmelCase           =	os.path.join(SCREAMING_SNAKE_CASE_				,				parts[i]					)
					if i >= len(SCREAMING_SNAKE_CASE_					):
										raise ValueError(F"""`object_name` should begin with the name of a module of diffusers but got {object_name}."""					)

					with open(os.path.join(SCREAMING_SNAKE_CASE_				,				F"""{module}.py"""					)				,				"r"				,				encoding="utf-8"				,				newline="\n"					) as f:
										__lowerCAmelCase           =	f.readlines()

					# Now let's find the class / func in the code!
					__lowerCAmelCase           =	""
					__lowerCAmelCase           =	0
					for name in parts[i + 1 :]:
										while (
										    line_index < len(SCREAMING_SNAKE_CASE_					) and re.search(RF"""^{indent}(class|def)\s+{name}(\(|\:)"""				,				lines[line_index]					) is None
										):
															line_index += 1
										indent += "    "
										line_index += 1

					if line_index >= len(SCREAMING_SNAKE_CASE_					):
										raise ValueError(F""" {object_name} does not match any function or class in {module}."""					)

					# We found the beginning of the class / func, now let's find the end (when the indent diminishes).
					__lowerCAmelCase           =	line_index
					while line_index < len(SCREAMING_SNAKE_CASE_					) and _should_continue(lines[line_index]				,				SCREAMING_SNAKE_CASE_					):
										line_index += 1
					# Clean up empty lines at the end (if any).
					while len(lines[line_index - 1]					) <= 1:
										line_index -= 1

					__lowerCAmelCase           =	lines[start_index:line_index]
					return "".join(SCREAMING_SNAKE_CASE_					)


UpperCamelCase__         =      re.compile(R"""^(\s*)#\s*Copied from\s+diffusers\.(\S+\.\S+)\s*($|\S.*$)""")
UpperCamelCase__         =      re.compile(R"""^\s*(\S+)->(\S+)(\s+.*|$)""")
UpperCamelCase__         =      re.compile(R"""<FILL\s+[^>]*>""")







def      _a				(						SCREAMING_SNAKE_CASE_							:    Optional[Any]					):
					__lowerCAmelCase           =	code.split("\n"					)
					__lowerCAmelCase           =	0
					while idx < len(SCREAMING_SNAKE_CASE_					) and len(lines[idx]					) == 0:
										idx += 1
					if idx < len(SCREAMING_SNAKE_CASE_					):
										return re.search(R"^(\s*)\S"				,				lines[idx]					).groups()[0]
					return ""







def      _a				(						SCREAMING_SNAKE_CASE_							:    int					):
					__lowerCAmelCase           =	len(get_indent(SCREAMING_SNAKE_CASE_					)					) > 0
					if has_indent:
										__lowerCAmelCase           =	F"""class Bla:\n{code}"""
					__lowerCAmelCase           =	black.Mode(target_versions={black.TargetVersion.PYaa}				,				line_length=1_19				,				preview=SCREAMING_SNAKE_CASE_					)
					__lowerCAmelCase           =	black.format_str(SCREAMING_SNAKE_CASE_				,				mode=SCREAMING_SNAKE_CASE_					)
					__lowerCAmelCase       ,							__lowerCAmelCase           =	style_docstrings_in_code(SCREAMING_SNAKE_CASE_					)
					return result[len("class Bla:\n"					) :] if has_indent else result







def      _a				(						SCREAMING_SNAKE_CASE_							:    List[Any]				,				SCREAMING_SNAKE_CASE_							:    str=False					):
					with open(SCREAMING_SNAKE_CASE_				,				"r"				,				encoding="utf-8"				,				newline="\n"					) as f:
										__lowerCAmelCase           =	f.readlines()
					__lowerCAmelCase           =	[]
					__lowerCAmelCase           =	0
					# Not a for loop cause `lines` is going to change (if `overwrite=True`).
					while line_index < len(SCREAMING_SNAKE_CASE_					):
										__lowerCAmelCase           =	_re_copy_warning.search(lines[line_index]					)
										if search is None:
															line_index += 1
															continue

										# There is some copied code here, let's retrieve the original.
										__lowerCAmelCase       ,							__lowerCAmelCase       ,							__lowerCAmelCase           =	search.groups()
										__lowerCAmelCase           =	find_code_in_diffusers(SCREAMING_SNAKE_CASE_					)
										__lowerCAmelCase           =	get_indent(SCREAMING_SNAKE_CASE_					)

										__lowerCAmelCase           =	line_index + 1 if indent == theoretical_indent else line_index + 2
										__lowerCAmelCase           =	theoretical_indent
										__lowerCAmelCase           =	start_index

										# Loop to check the observed code, stop when indentation diminishes or if we see a End copy comment.
										__lowerCAmelCase           =	True
										while line_index < len(SCREAMING_SNAKE_CASE_					) and should_continue:
															line_index += 1
															if line_index >= len(SCREAMING_SNAKE_CASE_					):
																				break
															__lowerCAmelCase           =	lines[line_index]
															__lowerCAmelCase           =	_should_continue(SCREAMING_SNAKE_CASE_				,				SCREAMING_SNAKE_CASE_					) and re.search(F"""^{indent}# End copy"""				,				SCREAMING_SNAKE_CASE_					) is None
										# Clean up empty lines at the end (if any).
										while len(lines[line_index - 1]					) <= 1:
															line_index -= 1

										__lowerCAmelCase           =	lines[start_index:line_index]
										__lowerCAmelCase           =	"".join(SCREAMING_SNAKE_CASE_					)

										# Remove any nested `Copied from` comments to avoid circular copies
										__lowerCAmelCase           =	[line for line in theoretical_code.split("\n"					) if _re_copy_warning.search(SCREAMING_SNAKE_CASE_					) is None]
										__lowerCAmelCase           =	"\n".join(SCREAMING_SNAKE_CASE_					)

										# Before comparing, use the `replace_pattern` on the original code.
										if len(SCREAMING_SNAKE_CASE_					) > 0:
															__lowerCAmelCase           =	replace_pattern.replace("with"				,				""					).split(","					)
															__lowerCAmelCase           =	[_re_replace_pattern.search(SCREAMING_SNAKE_CASE_					) for p in patterns]
															for pattern in patterns:
																				if pattern is None:
																									continue
																				__lowerCAmelCase       ,							__lowerCAmelCase       ,							__lowerCAmelCase           =	pattern.groups()
																				__lowerCAmelCase           =	re.sub(SCREAMING_SNAKE_CASE_				,				SCREAMING_SNAKE_CASE_				,				SCREAMING_SNAKE_CASE_					)
																				if option.strip() == "all-casing":
																									__lowerCAmelCase           =	re.sub(obja.lower()				,				obja.lower()				,				SCREAMING_SNAKE_CASE_					)
																									__lowerCAmelCase           =	re.sub(obja.upper()				,				obja.upper()				,				SCREAMING_SNAKE_CASE_					)

            # Blackify after replacement. To be able to do that, we need the header (class or function definition)
            # from the previous line
															__lowerCAmelCase           =	blackify(lines[start_index - 1] + theoretical_code					)
															__lowerCAmelCase           =	theoretical_code[len(lines[start_index - 1]					) :]

										# Test for a diff and act accordingly.
										if observed_code != theoretical_code:
															diffs.append([object_name, start_index]					)
															if overwrite:
																				__lowerCAmelCase           =	lines[:start_index] + [theoretical_code] + lines[line_index:]
																				__lowerCAmelCase           =	start_index + 1

					if overwrite and len(SCREAMING_SNAKE_CASE_					) > 0:
										# Warn the user a file has been modified.
										print(F"""Detected changes, rewriting {filename}."""					)
										with open(SCREAMING_SNAKE_CASE_				,				"w"				,				encoding="utf-8"				,				newline="\n"					) as f:
															f.writelines(SCREAMING_SNAKE_CASE_					)
					return diffs







def      _a				(						SCREAMING_SNAKE_CASE_							:    bool = False					):
					__lowerCAmelCase           =	glob.glob(os.path.join(SCREAMING_SNAKE_CASE_				,				"**/*.py"					)				,				recursive=SCREAMING_SNAKE_CASE_					)
					__lowerCAmelCase           =	[]
					for filename in all_files:
										__lowerCAmelCase           =	is_copy_consistent(SCREAMING_SNAKE_CASE_				,				SCREAMING_SNAKE_CASE_					)
										diffs += [F"""- {filename}: copy does not match {d[0]} at line {d[1]}""" for d in new_diffs]
					if not overwrite and len(SCREAMING_SNAKE_CASE_					) > 0:
										__lowerCAmelCase           =	"\n".join(SCREAMING_SNAKE_CASE_					)
										raise Exception(
										    "Found the following copy inconsistencies:\n"
										    + diff
										    + "\nRun `make fix-copies` or `python utils/check_copies.py --fix_and_overwrite` to fix them."					)


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_copies(args.fix_and_overwrite)










import argparse
import os

import torch

from transformers import FlavaConfig, FlavaForPreTraining
from transformers.models.flava.convert_dalle_to_flava_codebook import convert_dalle_checkpoint







def      _a				(						SCREAMING_SNAKE_CASE_							:    Any					):
					# encoder.embeddings are double copied in original FLAVA
					return sum(param.float().sum() if "encoder.embeddings" not in key else 0 for key, param in state_dict.items()					)







def      _a				(						SCREAMING_SNAKE_CASE_							:    Dict				,				SCREAMING_SNAKE_CASE_							:    Dict					):
					__lowerCAmelCase           =	{}

					for key, value in state_dict.items():
										if "text_encoder.embeddings" in key or "image_encoder.embeddings" in key:
															continue

										__lowerCAmelCase           =	key.replace("heads.cmd.mim_head.cls.predictions"				,				"mmm_image_head"					)
										__lowerCAmelCase           =	key.replace("heads.cmd.mlm_head.cls.predictions"				,				"mmm_text_head"					)
										__lowerCAmelCase           =	key.replace("heads.cmd.itm_head.cls"				,				"itm_head"					)
										__lowerCAmelCase           =	key.replace("heads.cmd.itm_head.pooler"				,				"itm_head.pooler"					)
										__lowerCAmelCase           =	key.replace("heads.cmd.clip_head.logit_scale"				,				"flava.logit_scale"					)
										__lowerCAmelCase           =	key.replace("heads.fairseq_mlm.cls.predictions"				,				"mlm_head"					)
										__lowerCAmelCase           =	key.replace("heads.imagenet.mim_head.cls.predictions"				,				"mim_head"					)
										__lowerCAmelCase           =	key.replace("mm_text_projection"				,				"flava.text_to_mm_projection"					)
										__lowerCAmelCase           =	key.replace("mm_image_projection"				,				"flava.image_to_mm_projection"					)
										__lowerCAmelCase           =	key.replace("image_encoder.module"				,				"flava.image_model"					)
										__lowerCAmelCase           =	key.replace("text_encoder.module"				,				"flava.text_model"					)
										__lowerCAmelCase           =	key.replace("mm_encoder.module.encoder.cls_token"				,				"flava.multimodal_model.cls_token"					)
										__lowerCAmelCase           =	key.replace("mm_encoder.module"				,				"flava.multimodal_model"					)
										__lowerCAmelCase           =	key.replace("text_projection"				,				"flava.text_projection"					)
										__lowerCAmelCase           =	key.replace("image_projection"				,				"flava.image_projection"					)

										__lowerCAmelCase           =	value.float()

					for key, value in codebook_state_dict.items():
										__lowerCAmelCase           =	value

					return upgrade







@torch.no_grad()
def      _a				(						SCREAMING_SNAKE_CASE_							:    List[Any]				,				SCREAMING_SNAKE_CASE_							:    Optional[int]				,				SCREAMING_SNAKE_CASE_							:    List[str]				,				SCREAMING_SNAKE_CASE_							:    int=None					):
					if config_path is not None:
										__lowerCAmelCase           =	FlavaConfig.from_pretrained(SCREAMING_SNAKE_CASE_					)
					else:
										__lowerCAmelCase           =	FlavaConfig()

					__lowerCAmelCase           =	FlavaForPreTraining(SCREAMING_SNAKE_CASE_					).eval()

					__lowerCAmelCase           =	convert_dalle_checkpoint(SCREAMING_SNAKE_CASE_				,				SCREAMING_SNAKE_CASE_				,				save_checkpoint=SCREAMING_SNAKE_CASE_					)

					if os.path.exists(SCREAMING_SNAKE_CASE_					):
										__lowerCAmelCase           =	torch.load(SCREAMING_SNAKE_CASE_				,				map_location="cpu"					)
					else:
										__lowerCAmelCase           =	torch.hub.load_state_dict_from_url(SCREAMING_SNAKE_CASE_				,				map_location="cpu"					)

					__lowerCAmelCase           =	upgrade_state_dict(SCREAMING_SNAKE_CASE_				,				SCREAMING_SNAKE_CASE_					)
					hf_model.load_state_dict(SCREAMING_SNAKE_CASE_					)
					__lowerCAmelCase           =	hf_model.state_dict()
					__lowerCAmelCase           =	count_parameters(SCREAMING_SNAKE_CASE_					)
					__lowerCAmelCase           =	count_parameters(SCREAMING_SNAKE_CASE_					) + count_parameters(SCREAMING_SNAKE_CASE_					)

					assert torch.allclose(SCREAMING_SNAKE_CASE_				,				SCREAMING_SNAKE_CASE_				,				atol=1E-3					)

					hf_model.save_pretrained(SCREAMING_SNAKE_CASE_					)


if __name__ == "__main__":
					UpperCamelCase__         =      argparse.ArgumentParser()
					parser.add_argument("""--pytorch_dump_folder_path""", default=None, type=str, help="""Path to the output PyTorch model.""")
					parser.add_argument("""--checkpoint_path""", default=None, type=str, help="""Path to flava checkpoint""")
					parser.add_argument("""--codebook_path""", default=None, type=str, help="""Path to flava codebook checkpoint""")
					parser.add_argument("""--config_path""", default=None, type=str, help="""Path to hf config.json of model to convert""")
					UpperCamelCase__         =      parser.parse_args()

					convert_flava_checkpoint(args.checkpoint_path, args.codebook_path, args.pytorch_dump_folder_path, args.config_path)




