





import argparse
import os
import re


_SCREAMING_SNAKE_CASE      	=		"""src/diffusers"""

# Pattern that looks at the indentation in a line.
_SCREAMING_SNAKE_CASE      	=		re.compile(R"""^(\s*)\S""")
# Pattern that matches `"key":" and puts `key` in group 0.
_SCREAMING_SNAKE_CASE      	=		re.compile(R"""^\s*\"([^\"]+)\":""")
# Pattern that matches `_import_structure["key"]` and puts `key` in group 0.
_SCREAMING_SNAKE_CASE      	=		re.compile(R"""^\s*_import_structure\[\"([^\"]+)\"\]""")
# Pattern that matches `"key",` and puts `key` in group 0.
_SCREAMING_SNAKE_CASE      	=		re.compile(R"""^\s*\"([^\"]+)\",\s*$""")
# Pattern that matches any `[stuff]` and puts `stuff` in group 0.
_SCREAMING_SNAKE_CASE      	=		re.compile(R"""\[([^\]]+)\]""")


def 							SCREAMING_SNAKE_CASE__						(    __a   ):
	snake_case_		:			Any											=	_re_indent.search(__a   )
	return "" if search is None else search.groups()[0]


def 							SCREAMING_SNAKE_CASE__						(    __a   , __a=""   , __a=None   , __a=None   ):
	snake_case_		:			Any											=	0
	snake_case_		:			Optional[int]											=	code.split('\n'   )
	if start_prompt is not None:
		while not lines[index].startswith(__a   ):
			index += 1
		snake_case_		:			Any											=	['\n'.join(lines[:index]   )]
	else:
		snake_case_		:			int											=	[]

	# We split into blocks until we get to the `end_prompt` (or the end of the block).
	snake_case_		:			int											=	[lines[index]]
	index += 1
	while index < len(__a   ) and (end_prompt is None or not lines[index].startswith(__a   )):
		if len(lines[index]   ) > 0 and get_indent(lines[index]   ) == indent_level:
			if len(__a   ) > 0 and get_indent(current_block[-1]   ).startswith(indent_level + ' '   ):
				current_block.append(lines[index]   )
				blocks.append('\n'.join(__a   )   )
				if index < len(__a   ) - 1:
					snake_case_		:			Optional[Any]											=	[lines[index + 1]]
					index += 1
				else:
					snake_case_		:			Optional[Any]											=	[]
			else:
				blocks.append('\n'.join(__a   )   )
				snake_case_		:			Optional[int]											=	[lines[index]]
		else:
			current_block.append(lines[index]   )
		index += 1

	# Adds current block if it's nonempty.
	if len(__a   ) > 0:
		blocks.append('\n'.join(__a   )   )

	# Add final block after end_prompt if provided.
	if end_prompt is not None and index < len(__a   ):
		blocks.append('\n'.join(lines[index:]   )   )

	return blocks


def 							SCREAMING_SNAKE_CASE__						(    __a   ):

	def _inner(__a   ):
		return key(__a   ).lower().replace('_'   , ''   )

	return _inner


def 							SCREAMING_SNAKE_CASE__						(    __a   , __a=None   ):

	# If no key is provided, we use a noop.
	def noop(__a   ):
		return x

	if key is None:
		snake_case_		:			Optional[Any]											=	noop
	# Constants are all uppercase, they go first.
	snake_case_		:			str											=	[obj for obj in objects if key(__a   ).isupper()]
	# Classes are not all uppercase but start with a capital, they go second.
	snake_case_		:			List[str]											=	[obj for obj in objects if key(__a   )[0].isupper() and not key(__a   ).isupper()]
	# Functions begin with a lowercase, they go last.
	snake_case_		:			int											=	[obj for obj in objects if not key(__a   )[0].isupper()]

	snake_case_		:			int											=	ignore_underscore(__a   )
	return sorted(__a   , key=__a   ) + sorted(__a   , key=__a   ) + sorted(__a   , key=__a   )


def 							SCREAMING_SNAKE_CASE__						(    __a   ):

	# This inner function sort imports between [ ].
	def _replace(__a   ):
		snake_case_		:			int											=	match.groups()[0]
		if "," not in imports:
			return f"""[{imports}]"""
		snake_case_		:			List[Any]											=	[part.strip().replace('"'   , ''   ) for part in imports.split(','   )]
		# We will have a final empty element if the line finished with a comma.
		if len(keys[-1]   ) == 0:
			snake_case_		:			Dict											=	keys[:-1]
		return "[" + ", ".join([f"""\"{k}\"""" for k in sort_objects(__a   )]   ) + "]"

	snake_case_		:			Union[str, Any]											=	import_statement.split('\n'   )
	if len(__a   ) > 3:
		# Here we have to sort internal imports that are on several lines (one per name):
		# key: [
		#     "object1",
		#     "object2",
		#     ...
		# ]

		# We may have to ignore one or two lines on each side.
		snake_case_		:			int											=	2 if lines[1].strip() == '[' else 1
		snake_case_		:			Union[str, Any]											=	[(i, _re_strip_line.search(__a   ).groups()[0]) for i, line in enumerate(lines[idx:-idx]   )]
		snake_case_		:			Dict											=	sort_objects(__a   , key=lambda __a   : x[1]   )
		snake_case_		:			Tuple											=	[lines[x[0] + idx] for x in sorted_indices]
		return "\n".join(lines[:idx] + sorted_lines + lines[-idx:]   )
	elif len(__a   ) == 3:
		# Here we have to sort internal imports that are on one separate line:
		# key: [
		#     "object1", "object2", ...
		# ]
		if _re_bracket_content.search(lines[1]   ) is not None:
			snake_case_		:			int											=	_re_bracket_content.sub(_replace   , lines[1]   )
		else:
			snake_case_		:			List[Any]											=	[part.strip().replace('"'   , ''   ) for part in lines[1].split(','   )]
			# We will have a final empty element if the line finished with a comma.
			if len(keys[-1]   ) == 0:
				snake_case_		:			Optional[int]											=	keys[:-1]
			snake_case_		:			List[str]											=	get_indent(lines[1]   ) + ', '.join([f"""\"{k}\"""" for k in sort_objects(__a   )]   )
		return "\n".join(__a   )
	else:
		# Finally we have to deal with imports fitting on one line
		snake_case_		:			int											=	_re_bracket_content.sub(_replace   , __a   )
		return import_statement


def 							SCREAMING_SNAKE_CASE__						(    __a   , __a=True   ):
	with open(__a   , 'r'   ) as f:
		snake_case_		:			Union[str, Any]											=	f.read()

	if "_import_structure" not in code:
		return

	# Blocks of indent level 0
	snake_case_		:			int											=	split_code_in_indented_blocks(
	    __a   , start_prompt='_import_structure = {'   , end_prompt='if TYPE_CHECKING:'   )

	# We ignore block 0 (everything until start_prompt) and the last block (everything after end_prompt).
	for block_idx in range(1   , len(__a   ) - 1   ):
		# Check if the block contains some `_import_structure`s thingy to sort.
		snake_case_		:			Dict											=	main_blocks[block_idx]
		snake_case_		:			List[Any]											=	block.split('\n'   )

		# Get to the start of the imports.
		snake_case_		:			Dict											=	0
		while line_idx < len(__a   ) and "_import_structure" not in block_lines[line_idx]:
			# Skip dummy import blocks
			if "import dummy" in block_lines[line_idx]:
				snake_case_		:			int											=	len(__a   )
			else:
				line_idx += 1
		if line_idx >= len(__a   ):
			continue

		# Ignore beginning and last line: they don't contain anything.
		snake_case_		:			Dict											=	'\n'.join(block_lines[line_idx:-1]   )
		snake_case_		:			List[str]											=	get_indent(block_lines[1]   )
		# Slit the internal block into blocks of indent level 1.
		snake_case_		:			Dict											=	split_code_in_indented_blocks(__a   , indent_level=__a   )
		# We have two categories of import key: list or _import_structure[key].append/extend
		snake_case_		:			List[str]											=	_re_direct_key if '_import_structure' in block_lines[0] else _re_indirect_key
		# Grab the keys, but there is a trap: some lines are empty or just comments.
		snake_case_		:			List[Any]											=	[(pattern.search(__a   ).groups()[0] if pattern.search(__a   ) is not None else None) for b in internal_blocks]
		# We only sort the lines with a key.
		snake_case_		:			Any											=	[(i, key) for i, key in enumerate(__a   ) if key is not None]
		snake_case_		:			int											=	[x[0] for x in sorted(__a   , key=lambda __a   : x[1]   )]

		# We reorder the blocks by leaving empty lines/comments as they were and reorder the rest.
		snake_case_		:			int											=	0
		snake_case_		:			Dict											=	[]
		for i in range(len(__a   )   ):
			if keys[i] is None:
				reordered_blocks.append(internal_blocks[i]   )
			else:
				snake_case_		:			Optional[Any]											=	sort_objects_in_import(internal_blocks[sorted_indices[count]]   )
				reordered_blocks.append(__a   )
				count += 1

        # And we put our main block back together with its first and last line.
		snake_case_		:			Dict											=	'\n'.join(block_lines[:line_idx] + reordered_blocks + [block_lines[-1]]   )

	if code != "\n".join(__a   ):
		if check_only:
			return True
		else:
			print(f"""Overwriting {file}."""   )
			with open(__a   , 'w'   ) as f:
				f.write('\n'.join(__a   )   )


def 							SCREAMING_SNAKE_CASE__						(    __a=True   ):
	snake_case_		:			int											=	[]
	for root, _, files in os.walk(__a   ):
		if "__init__.py" in files:
			snake_case_		:			int											=	sort_imports(os.path.join(__a   , '__init__.py'   )   , check_only=__a   )
			if result:
				snake_case_		:			List[str]											=	[os.path.join(__a   , '__init__.py'   )]
	if len(__a   ) > 0:
		raise ValueError(f"""Would overwrite {len(__a   )} files, run `make style`."""   )


if __name__ == "__main__":
						_SCREAMING_SNAKE_CASE      	=		argparse.ArgumentParser()
						parser.add_argument("""--check_only""", action="""store_true""", help="""Whether to only check or fix style.""")
						_SCREAMING_SNAKE_CASE      	=		parser.parse_args()

						sort_imports_in_all_inits(check_only=args.check_only)








import argparse

from torch import nn

# transformers_old should correspond to branch `save_old_prophetnet_model_structure` here
# original prophetnet_checkpoints are saved under `patrickvonplaten/..._old` respectively
from transformers_old.modeling_prophetnet import (
    ProphetNetForConditionalGeneration as ProphetNetForConditionalGenerationOld,
)
from transformers_old.modeling_xlm_prophetnet import (
    XLMProphetNetForConditionalGeneration as XLMProphetNetForConditionalGenerationOld,
)

from transformers import ProphetNetForConditionalGeneration, XLMProphetNetForConditionalGeneration, logging


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


def 							SCREAMING_SNAKE_CASE__						(    __a   , __a   ):
	if "xprophetnet" in prophetnet_checkpoint_path:
		snake_case_		:			int											=	XLMProphetNetForConditionalGenerationOld.from_pretrained(__a   )
		snake_case_						,snake_case_		:			List[Any]											=	XLMProphetNetForConditionalGeneration.from_pretrained(
		    __a   , output_loading_info=__a   )
	else:
		snake_case_		:			List[str]											=	ProphetNetForConditionalGenerationOld.from_pretrained(__a   )
		snake_case_						,snake_case_		:			Dict											=	ProphetNetForConditionalGeneration.from_pretrained(
		    __a   , output_loading_info=__a   )

	snake_case_		:			str											=	['key_proj', 'value_proj', 'query_proj']

	snake_case_		:			List[str]											=	{
	    'self_attn': 'ngram_self_attn',
	    'cross_attn': 'encoder_attn',
	    'cross_attn_layer_norm': 'encoder_attn_layer_norm',
	    'feed_forward_layer_norm': 'final_layer_norm',
	    'feed_forward': '',
	    'intermediate': 'fc1',
	    'output': 'fc2',
	    'key_proj': 'k_proj',
	    'query_proj': 'q_proj',
	    'value_proj': 'v_proj',
	    'word_embeddings': 'embed_tokens',
	    'embeddings_layer_norm': 'emb_layer_norm',
	    'relative_pos_embeddings': 'relative_linear',
	    'ngram_embeddings': 'ngram_input_embed',
	    'position_embeddings': 'embed_positions',
	}

	for key in loading_info["missing_keys"]:
		snake_case_		:			Union[str, Any]											=	key.split('.'   )

		if attributes[0] == "lm_head":
			snake_case_		:			Optional[Any]											=	prophet
			snake_case_		:			Any											=	prophet_old
		else:
			snake_case_		:			Optional[int]											=	prophet.prophetnet
			snake_case_		:			str											=	prophet_old.model

		snake_case_		:			Union[str, Any]											=	False
		for attribute in attributes:
			if attribute in mapping:
				snake_case_		:			Optional[Any]											=	mapping[attribute]
				if not hasattr(__a   , __a   ) and len(__a   ) > 0:
					snake_case_		:			List[Any]											=	attribute
			elif hasattr(__a   , __a   ):
				snake_case_		:			List[Any]											=	attribute

			if attribute == "weight":
				assert old_model.weight.shape == model.weight.shape, "Shapes have to match!"
				snake_case_		:			int											=	old_model.weight
				logger.info(f"""{attribute} is initialized."""   )
				snake_case_		:			Optional[int]											=	True
				break
			elif attribute == "bias":
				assert old_model.bias.shape == model.bias.shape, "Shapes have to match!"
				snake_case_		:			List[str]											=	old_model.bias
				logger.info(f"""{attribute} is initialized"""   )
				snake_case_		:			int											=	True
				break
			elif attribute in special_keys and hasattr(__a   , 'in_proj_weight'   ):
				snake_case_		:			Optional[Any]											=	old_model.in_proj_weight.shape[0] // 3
				snake_case_		:			List[Any]											=	getattr(__a   , __a   )
				param.weight.shape == old_model.in_proj_weight[:embed_dim, :].shape, "Shapes have to match"
				param.bias.shape == old_model.in_proj_bias[:embed_dim].shape, "Shapes have to match"
				if attribute == "query_proj":
					snake_case_		:			Tuple											=	nn.Parameter(old_model.in_proj_weight[:embed_dim, :]   )
					snake_case_		:			Optional[int]											=	nn.Parameter(old_model.in_proj_bias[:embed_dim]   )

				elif attribute == "key_proj":
					snake_case_		:			int											=	nn.Parameter(old_model.in_proj_weight[embed_dim : 2 * embed_dim, :]   )
					snake_case_		:			Any											=	nn.Parameter(old_model.in_proj_bias[embed_dim : 2 * embed_dim]   )
				elif attribute == "value_proj":
					snake_case_		:			List[Any]											=	nn.Parameter(old_model.in_proj_weight[2 * embed_dim :, :]   )
					snake_case_		:			str											=	nn.Parameter(old_model.in_proj_bias[2 * embed_dim :]   )
				snake_case_		:			Any											=	True
				break
			elif attribute == "position_embeddings":
				assert (
				    model.position_embeddings.weight.shape[-1] == old_model.embed_positions.weight.shape[-1]
				), "Hidden size has to match"
				assert model.position_embeddings.weight.shape[0] == 5_12, "We want 512 position_embeddings."
				snake_case_		:			Any											=	nn.Parameter(old_model.embed_positions.weight[:5_12, :]   )
				snake_case_		:			List[Any]											=	True
				break

			if attribute.isdigit():
				snake_case_		:			Any											=	model[int(__a   )]
				snake_case_		:			Any											=	old_model[int(__a   )]
			else:
				snake_case_		:			str											=	getattr(__a   , __a   )

				if old_attribute == "":
					snake_case_		:			Tuple											=	old_model
				else:
					if not hasattr(__a   , __a   ):
						raise ValueError(f"""{old_model} does not have {old_attribute}"""   )
					snake_case_		:			List[str]											=	getattr(__a   , __a   )

		if not is_key_init:
			raise ValueError(f"""{key} was not correctly initialized!"""   )

	print(f"""Saving model to {pytorch_dump_folder_path}"""   )
	prophet.save_pretrained(__a   )


if __name__ == "__main__":
						_SCREAMING_SNAKE_CASE      	=		argparse.ArgumentParser()
						# Required parameters
						parser.add_argument(
						    """--prophetnet_checkpoint_path""", default=None, type=str, required=True, help="""Path the official PyTorch dump."""
						)
						parser.add_argument(
						    """--pytorch_dump_folder_path""", default=None, type=str, required=True, help="""Path to the output PyTorch model."""
						)
						_SCREAMING_SNAKE_CASE      	=		parser.parse_args()
						convert_prophetnet_checkpoint_to_pytorch(args.prophetnet_checkpoint_path, args.pytorch_dump_folder_path)

