


import os
import re
import shutil
import sys
import tempfile
import unittest

import black


_snake_case					:		List[str]      =    os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, "utils"))

import check_copies  # noqa: E402


# This is the reference code that will be used in the tests.
# If DDPMSchedulerOutput is changed in scheduling_ddpm.py, this code needs to be manually updated.
_snake_case					:		List[str]      =    "    \"\"\"\n    Output class for the scheduler's step function output.\n\n    Args:\n        prev_sample (`torch.FloatTensor` of shape `(batch_size, num_channels, height, width)` for images):\n            Computed sample (x_{t-1}) of previous timestep. `prev_sample` should be used as next model input in the\n            denoising loop.\n        pred_original_sample (`torch.FloatTensor` of shape `(batch_size, num_channels, height, width)` for images):\n            The predicted denoised sample (x_{0}) based on the model output from the current timestep.\n            `pred_original_sample` can be used to preview progress or for guidance.\n    \"\"\"\n\n    prev_sample: torch.FloatTensor\n    pred_original_sample: Optional[torch.FloatTensor] = None\n"

class     a		(unittest.TestCase				):




							"""simple docstring"""


							def    __snake_case (							self	:  List[str]    )     ->   Optional[Any]:
														__snake_case		:      Any										=       tempfile.mkdtemp()
														os.makedirs(os.path.join(self.diffusers_dir   ,     "schedulers/"    )    )
														__snake_case		:      Tuple										=       self.diffusers_dir
														shutil.copy(
														    os.path.join(lowerCamelCase   ,     "src/diffusers/schedulers/scheduling_ddpm.py"    )   ,     os.path.join(self.diffusers_dir   ,     "schedulers/scheduling_ddpm.py"    )   ,     )

							def    __snake_case (							self	:  str    )     ->   Tuple:
														__snake_case		:      int										=       "src/diffusers"
														shutil.rmtree(self.diffusers_dir    )

							def    __snake_case (							self	:  Optional[int]   ,     lowerCamelCase	:  Tuple   ,     lowerCamelCase	:  Union[str, Any]   ,     lowerCamelCase	:  Tuple   ,     lowerCamelCase	:  Union[str, Any]=None    )     ->   Dict:
														__snake_case		:      Union[str, Any]										=       comment + F'\nclass {class_name}(nn.Module):\n' + class_code
														if overwrite_result is not None:
																					__snake_case		:      Tuple										=       comment + F'\nclass {class_name}(nn.Module):\n' + overwrite_result
														__snake_case		:      int										=       black.Mode(target_versions={black.TargetVersion.PYaa}   ,     line_length=119    )
														__snake_case		:      Dict										=       black.format_str(lowerCamelCase   ,     mode=lowerCamelCase    )
														__snake_case		:      List[Any]										=       os.path.join(self.diffusers_dir   ,     "new_code.py"    )
														with open(lowerCamelCase   ,     "w"   ,     newline="\n"    ) as f:
																					f.write(lowerCamelCase    )
														if overwrite_result is None:
																					self.assertTrue(len(check_copies.is_copy_consistent(lowerCamelCase    )    ) == 0    )
														else:
																					check_copies.is_copy_consistent(f.name   ,     overwrite=lowerCamelCase    )
																					with open(lowerCamelCase   ,     "r"    ) as f:
																												self.assertTrue(f.read()   ,     lowerCamelCase    )

							def    __snake_case (							self	:  List[Any]    )     ->   str:
														__snake_case		:      Union[str, Any]										=       check_copies.find_code_in_diffusers("schedulers.scheduling_ddpm.DDPMSchedulerOutput"    )
														self.assertEqual(lowerCamelCase   ,     lowerCamelCase    )






							def    __snake_case (							self	:  List[str]    )     ->   List[Any]:
														# Base copy consistency
														self.check_copy_consistency(
														    "# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput"   ,     "DDPMSchedulerOutput"   ,     REFERENCE_CODE + "\n"   ,     )

														# With no empty line at the end
														self.check_copy_consistency(
														    "# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput"   ,     "DDPMSchedulerOutput"   ,     lowerCamelCase   ,     )

														# Copy consistency with rename
														self.check_copy_consistency(
														    "# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput with DDPM->Test"   ,     "TestSchedulerOutput"   ,     re.sub("DDPM"   ,     "Test"   ,     lowerCamelCase    )   ,     )

														# Copy consistency with a really long name
														__snake_case		:      Tuple										=       "TestClassWithAReallyLongNameBecauseSomePeopleLikeThatForSomeReason"
														self.check_copy_consistency(
														    F'# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput with DDPM->{long_class_name}'   ,     F'{long_class_name}SchedulerOutput'   ,     re.sub("Bert"   ,     lowerCamelCase   ,     lowerCamelCase    )   ,     )

														# Copy consistency with overwrite
														self.check_copy_consistency(
														    "# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput with DDPM->Test"   ,     "TestSchedulerOutput"   ,     lowerCamelCase   ,     overwrite_result=re.sub("DDPM"   ,     "Test"   ,     lowerCamelCase    )   ,     )





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


_snake_case					:		List[str]      =    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_					( __lowerCamelCase							,     __lowerCamelCase     ):
							return (abs(source - target     ) / target) < 0.0_1







@pytest.mark.integration
def     lowerCAmelCase_					( __lowerCamelCase     ):
							__snake_case		:      Tuple										=       _TestCommandArgs(dataset=__lowerCamelCase							,     all_configs=__lowerCamelCase							,     save_infos=__lowerCamelCase     )
							__snake_case		:      List[Any]										=       TestCommand(*__lowerCamelCase     )
							test_command.run()
							__snake_case		:      List[Any]										=       os.path.join(__lowerCamelCase							,     "README.md"     )
							assert os.path.exists(__lowerCamelCase     )
							__snake_case		:      Optional[Any]										=       DatasetInfosDict.from_directory(__lowerCamelCase     )
							__snake_case		:      List[str]										=       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": 2_3_5_1_5_6_3,
							                    "num_examples": 1_0_0_0_0,
							                },
							                {
							                    "name": "validation",
							                    "num_bytes": 2_3_8_4_1_8,
							                    "num_examples": 1_0_0_0,
							                },
							            ]							,     download_size=3_9_4_0_6_8_0							,     dataset_size=2_5_8_9_9_8_1							,     )
							    }     )
							assert dataset_infos.keys() == expected_dataset_infos.keys()
							for key in DatasetInfo._INCLUDED_INFO_IN_YAML:
														__snake_case			,      __snake_case		:      Tuple										=       getattr(dataset_infos["default"]							,     __lowerCamelCase     ), getattr(expected_dataset_infos["default"]							,     __lowerCamelCase     )
														if key == "num_bytes":
																					assert is_apercent_close(__lowerCamelCase							,     __lowerCamelCase     )
														elif key == "splits":
																					assert list(__lowerCamelCase     ) == list(__lowerCamelCase     )
																					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

