



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
A        =			'src/diffusers'
A        =			'.'


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



def 					_lowerCamelCase(			lowerCAmelCase__				:		List[Any]    ,    lowerCAmelCase__				:		Optional[int]      ):





				'''simple docstring'''







				return line.startswith(__lowerCAmelCase      ) or len(__lowerCAmelCase      ) <= 1 or re.search(R'^\s*\)(\s*->.*:|:)\s*$'    ,    __lowerCAmelCase      ) is not None



def 					_lowerCamelCase(			lowerCAmelCase__				:		Union[str, Any]      ):





				'''simple docstring'''







				SCREAMING_SNAKE_CASE_   :	int													=   object_name.split('.'      )
				SCREAMING_SNAKE_CASE_   :	Dict													=   0

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

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

				# Now let's find the class / func in the code!
				SCREAMING_SNAKE_CASE_   :	Dict													=   ""
				SCREAMING_SNAKE_CASE_   :	Union[str, Any]													=   0
				for name in parts[i + 1 :]:
								while (
								    line_index < len(__lowerCAmelCase      ) 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(__lowerCAmelCase      ):
								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).
				SCREAMING_SNAKE_CASE_   :	Optional[Any]													=   line_index
				while line_index < len(__lowerCAmelCase      ) and _should_continue(lines[line_index]    ,    __lowerCAmelCase      ):
								line_index += 1
				# Clean up empty lines at the end (if any).
				while len(lines[line_index - 1]      ) <= 1:
								line_index -= 1

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


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



def 					_lowerCamelCase(			lowerCAmelCase__				:		int      ):





				'''simple docstring'''







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



def 					_lowerCamelCase(			lowerCAmelCase__				:		Union[str, Any]      ):





				'''simple docstring'''







				SCREAMING_SNAKE_CASE_   :	Optional[Any]													=   len(get_indent(__lowerCAmelCase      )      ) > 0
				if has_indent:
								SCREAMING_SNAKE_CASE_   :	int													=   F'''class Bla:\n{code}'''
				SCREAMING_SNAKE_CASE_   :	Optional[Any]													=   black.Mode(target_versions={black.TargetVersion.PYaa}    ,    line_length=119    ,    preview=__lowerCAmelCase      )
				SCREAMING_SNAKE_CASE_   :	List[Any]													=   black.format_str(__lowerCAmelCase    ,    mode=__lowerCAmelCase      )
				SCREAMING_SNAKE_CASE_   :	List[Any]													=   style_docstrings_in_code(__lowerCAmelCase      )
				return result[len('class Bla:\n'      ) :] if has_indent else result



def 					_lowerCamelCase(			lowerCAmelCase__				:		List[str]    ,    lowerCAmelCase__				:		Union[str, Any]=False      ):





				'''simple docstring'''







				with open(__lowerCAmelCase    ,    'r'    ,    encoding='utf-8'    ,    newline='\n'      ) as f:
								SCREAMING_SNAKE_CASE_   :	int													=   f.readlines()
				SCREAMING_SNAKE_CASE_   :	List[Any]													=   []
				SCREAMING_SNAKE_CASE_   :	Union[str, Any]													=   0
				# Not a for loop cause `lines` is going to change (if `overwrite=True`).
				while line_index < len(__lowerCAmelCase      ):
								SCREAMING_SNAKE_CASE_   :	Optional[int]													=   _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.
								SCREAMING_SNAKE_CASE_   :	str													=   search.groups()
								SCREAMING_SNAKE_CASE_   :	Union[str, Any]													=   find_code_in_diffusers(__lowerCAmelCase      )
								SCREAMING_SNAKE_CASE_   :	Union[str, Any]													=   get_indent(__lowerCAmelCase      )

								SCREAMING_SNAKE_CASE_   :	str													=   line_index + 1 if indent == theoretical_indent else line_index + 2
								SCREAMING_SNAKE_CASE_   :	Dict													=   theoretical_indent
								SCREAMING_SNAKE_CASE_   :	Tuple													=   start_index

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

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

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

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

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

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



def 					_lowerCamelCase(			lowerCAmelCase__				:		List[str] = False      ):





				'''simple docstring'''







				SCREAMING_SNAKE_CASE_   :	str													=   glob.glob(os.path.join(__lowerCAmelCase    ,    '**/*.py'      )    ,    recursive=__lowerCAmelCase      )
				SCREAMING_SNAKE_CASE_   :	Optional[Any]													=   []
				for filename in all_files:
								SCREAMING_SNAKE_CASE_   :	Optional[int]													=   is_copy_consistent(__lowerCAmelCase    ,    __lowerCAmelCase      )
								diffs += [F'''- {filename}: copy does not match {d[0]} at line {d[1]}''' for d in new_diffs]
				if not overwrite and len(__lowerCAmelCase      ) > 0:
								SCREAMING_SNAKE_CASE_   :	int													=   "\n".join(__lowerCAmelCase      )
								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__":
				A        =			argparse.ArgumentParser()
				parser.add_argument('--fix_and_overwrite', action='store_true', help='Whether to fix inconsistencies.')
				A        =			parser.parse_args()

				check_copies(args.fix_and_overwrite)







import os

from bleurt import score  # From: git+https://github.com/google-research/bleurt.git

import datasets


A        =			datasets.logging.get_logger(__name__)


A        =			'\\n@inproceedings{bleurt,\n  title={BLEURT: Learning Robust Metrics for Text Generation},\n  author={Thibault Sellam and Dipanjan Das and Ankur P. Parikh},\n  booktitle={ACL},\n  year={2020},\n  url={https://arxiv.org/abs/2004.04696}\n}\n'

A        =			'\\nBLEURT a learnt evaluation metric for Natural Language Generation. It is built using multiple phases of transfer learning starting from a pretrained BERT model (Devlin et al. 2018)\nand then employing another pre-training phrase using synthetic data. Finally it is trained on WMT human annotations. You may run BLEURT out-of-the-box or fine-tune\nit for your specific application (the latter is expected to perform better).\n\nSee the project\'s README at https://github.com/google-research/bleurt#readme for more information.\n'

A        =			'\nBLEURT score.\n\nArgs:\n    `predictions` (list of str): prediction/candidate sentences\n    `references` (list of str): reference sentences\n    `checkpoint` BLEURT checkpoint. Will default to BLEURT-tiny if None.\n\nReturns:\n    \'scores\': List of scores.\nExamples:\n\n    >>> predictions = ["hello there", "general kenobi"]\n    >>> references = ["hello there", "general kenobi"]\n    >>> bleurt = datasets.load_metric("bleurt")\n    >>> results = bleurt.compute(predictions=predictions, references=references)\n    >>> print([round(v, 2) for v in results["scores"]])\n    [1.03, 1.04]\n'

A        =			{
    'bleurt-tiny-128': 'https://storage.googleapis.com/bleurt-oss/bleurt-tiny-128.zip',
    'bleurt-tiny-512': 'https://storage.googleapis.com/bleurt-oss/bleurt-tiny-512.zip',
    'bleurt-base-128': 'https://storage.googleapis.com/bleurt-oss/bleurt-base-128.zip',
    'bleurt-base-512': 'https://storage.googleapis.com/bleurt-oss/bleurt-base-512.zip',
    'bleurt-large-128': 'https://storage.googleapis.com/bleurt-oss/bleurt-large-128.zip',
    'bleurt-large-512': 'https://storage.googleapis.com/bleurt-oss/bleurt-large-512.zip',
    'BLEURT-20-D3': 'https://storage.googleapis.com/bleurt-oss-21/BLEURT-20-D3.zip',
    'BLEURT-20-D6': 'https://storage.googleapis.com/bleurt-oss-21/BLEURT-20-D6.zip',
    'BLEURT-20-D12': 'https://storage.googleapis.com/bleurt-oss-21/BLEURT-20-D12.zip',
    'BLEURT-20': 'https://storage.googleapis.com/bleurt-oss-21/BLEURT-20.zip',
}


@datasets.utils.file_utils.add_start_docstrings(_DESCRIPTION ,	_KWARGS_DESCRIPTION						)
class 							__a							(  datasets.Metric						):





		'''simple docstring'''



		def   __snake_case			(						self       ):
						return datasets.MetricInfo(
						    description=_DESCRIPTION ,    citation=_CITATION ,    homepage='https://github.com/google-research/bleurt' ,    inputs_description=_KWARGS_DESCRIPTION ,    features=datasets.Features(
						        {
						            'predictions': datasets.Value('string' ,    id='sequence'       ),
						            'references': datasets.Value('string' ,    id='sequence'       ),
						        }       ) ,    codebase_urls=['https://github.com/google-research/bleurt'] ,    reference_urls=['https://github.com/google-research/bleurt', 'https://arxiv.org/abs/2004.04696'] ,    )


		def   __snake_case			(						self ,    UpperCamelCase__       ):
						# check that config name specifies a valid BLEURT model
						if self.config_name == "default":
										logger.warning(
										    'Using default BLEURT-Base checkpoint for sequence maximum length 128. '
										    'You can use a bigger model for better results with e.g.: datasets.load_metric(\'bleurt\', \'bleurt-large-512\').'       )
										SCREAMING_SNAKE_CASE_   :	List[Any]													=   'bleurt-base-128'

						if self.config_name.lower() in CHECKPOINT_URLS:
										SCREAMING_SNAKE_CASE_   :	Tuple													=   self.config_name.lower()

						elif self.config_name.upper() in CHECKPOINT_URLS:
										SCREAMING_SNAKE_CASE_   :	Any													=   self.config_name.upper()

						else:
										raise KeyError(
										    F'''{self.config_name} model not found. You should supply the name of a model checkpoint for bleurt in {CHECKPOINT_URLS.keys()}'''       )

						# download the model checkpoint specified by self.config_name and set up the scorer
						SCREAMING_SNAKE_CASE_   :	List[Any]													=   dl_manager.download_and_extract(CHECKPOINT_URLS[checkpoint_name]       )
						SCREAMING_SNAKE_CASE_   :	int													=   score.BleurtScorer(os.path.join(UpperCamelCase__ ,    UpperCamelCase__       )       )






		def   __snake_case			(						self ,    UpperCamelCase__ ,    UpperCamelCase__       ):
						SCREAMING_SNAKE_CASE_   :	Tuple													=   self.scorer.score(references=UpperCamelCase__ ,    candidates=UpperCamelCase__       )
						return {"scores": scores}