





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
_a						=   "src/diffusers"

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


_a						=   "\n{0} = None\n"

_a						=   "\nclass {0}(metaclass=DummyObject):\n    _backends = {1}\n\n    def __init__(self, *args, **kwargs):\n        requires_backends(self, {1})\n\n    @classmethod\n    def from_config(cls, *args, **kwargs):\n        requires_backends(cls, {1})\n\n    @classmethod\n    def from_pretrained(cls, *args, **kwargs):\n        requires_backends(cls, {1})\n"


_a						=   "\ndef {0}(*args, **kwargs):\n    requires_backends({0}, {1})\n"





def lowerCAmelCase__(__snake_case							)       ->   List[str]:







	'''simple docstring'''







	lowerCamelCase__              =	_re_backend.findall(__snake_case							)
	if len(__snake_case							) == 0:
		return None

	return "_and_".join(__snake_case							)





def lowerCAmelCase__()       ->   List[Any]:







	'''simple docstring'''







	with open(os.path.join(__snake_case ,'''__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(__snake_case							):
		# 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(__snake_case							) and len(lines[line_index]							) > 1:
				lowerCamelCase__              =	lines[line_index]
				lowerCamelCase__              =	_re_single_line_import.search(__snake_case							)
				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(__snake_case							) > 0:
				lowerCamelCase__              =	objects
		else:
			line_index += 1

	return backend_specific_objects





def lowerCAmelCase__(__snake_case ,__snake_case							)       ->   List[str]:







	'''simple docstring'''







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





def lowerCAmelCase__(__snake_case=None							)       ->   Any:







	'''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(__snake_case ,__snake_case							) for o in objects]							)
		lowerCamelCase__              =	dummy_file

	return dummy_files





def lowerCAmelCase__(__snake_case=False							)       ->   str:







	'''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(__snake_case ,'''utils'''							)
	lowerCamelCase__              =	{
	    backend: os.path.join(__snake_case ,F'dummy_{short_names.get(__snake_case ,__snake_case							)}_objects.py'							)
	    for backend in dummy_files.keys()
	}

	lowerCamelCase__              =	{}
	for backend, file_path in dummy_file_paths.items():
		if os.path.isfile(__snake_case							):
			with open(__snake_case ,'''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(__snake_case ,__snake_case							)}_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(__snake_case ,__snake_case							)}_objects.py. Run `make fix-copies` '
				    '''to fix this.'''							)


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_dummies(args.fix_and_overwrite)










import os
from collections import namedtuple

import pytest

from datasets import ClassLabel, Features, Sequence, Value
from datasets.commands.test import TestCommand
from datasets.info import DatasetInfo, DatasetInfosDict


_a						=   namedtuple(
    "_TestCommandArgs",
    [
        "dataset",
        "name",
        "cache_dir",
        "data_dir",
        "all_configs",
        "save_infos",
        "ignore_verifications",
        "force_redownload",
        "clear_cache",
    ],
    defaults=[None, None, None, False, False, False, False, False],
)





def lowerCAmelCase__(__snake_case ,__snake_case							)       ->   List[str]:







	'''simple docstring'''







	return (abs(source - target							) / target) < 0.0_1





@pytest.mark.integration
def lowerCAmelCase__(__snake_case							)       ->   Tuple:







	'''simple docstring'''







	lowerCamelCase__              =	_TestCommandArgs(dataset=__snake_case ,all_configs=__snake_case ,save_infos=__snake_case							)
	lowerCamelCase__              =	TestCommand(*__snake_case							)
	test_command.run()
	lowerCamelCase__              =	os.path.join(__snake_case ,'''README.md'''							)
	assert os.path.exists(__snake_case							)
	lowerCamelCase__              =	DatasetInfosDict.from_directory(__snake_case							)
	lowerCamelCase__              =	DatasetInfosDict(
	    {
	        '''default''': DatasetInfo(
	            features=Features(
	                {
	                    '''tokens''': Sequence(Value('''string'''							)							),
	                    '''ner_tags''': Sequence(
	                        ClassLabel(names=['''O''', '''B-PER''', '''I-PER''', '''B-ORG''', '''I-ORG''', '''B-LOC''', '''I-LOC''']							)							),
	                    '''langs''': Sequence(Value('''string'''							)							),
	                    '''spans''': Sequence(Value('''string'''							)							),
	                }							) ,splits=[
	                {
	                    '''name''': '''train''',
	                    '''num_bytes''': 2351563,
	                    '''num_examples''': 10000,
	                },
	                {
	                    '''name''': '''validation''',
	                    '''num_bytes''': 238418,
	                    '''num_examples''': 1000,
	                },
	            ] ,download_size=3940680 ,dataset_size=2589981 ,)
	    }							)
	assert dataset_infos.keys() == expected_dataset_infos.keys()
	for key in DatasetInfo._INCLUDED_INFO_IN_YAML:
		lowerCamelCase__       ,			lowerCamelCase__              =	getattr(dataset_infos['''default'''] ,__snake_case							), getattr(expected_dataset_infos['''default'''] ,__snake_case							)
		if key == "num_bytes":
			assert is_apercent_close(__snake_case ,__snake_case							)
		elif key == "splits":
			assert list(__snake_case							) == list(__snake_case							)
			for split in result:
				assert result[split].name == expected[split].name
				assert result[split].num_examples == expected[split].num_examples
				assert is_apercent_close(result[split].num_bytes ,expected[split].num_bytes							)
		else:
			result == expected



