






# Lint as: python3
import os
import re
import urllib.parse
from pathlib import Path
from typing import Callable, List, Optional, Union
from zipfile import ZipFile

from ..utils.file_utils import cached_path, hf_github_url
from ..utils.logging import get_logger
from ..utils.version import Version


a__     :   int       =     get_logger(__name__)


class    _lowerCAmelCase			:



				"""simple docstring"""



				_lowercase				:   Dict      =  '''dummy_data'''
				_lowercase				:   Optional[int]      =  '''datasets'''
				_lowercase				:   Union[str, Any]      =  False



				def __init__(      self    :    Optional[int]			,		UpperCamelCase__    :    str			,		UpperCamelCase__    :    str			,		UpperCamelCase__    :    Union[Version, str]			,		UpperCamelCase__    :    Optional[str] = None			,		UpperCamelCase__    :    bool = False			,		UpperCamelCase__    :    bool = True			,		UpperCamelCase__    :    Optional[List[Callable]] = None			,		):






											'''simple docstring'''







											snake_case__	  =       0
											snake_case__	  =       dataset_name
											snake_case__	  =       cache_dir
											snake_case__	  =       use_local_dummy_data
											snake_case__	  =       config
											# download_callbacks take a single url as input
											snake_case__	  =       download_callbacks or []
											# if False, it doesn't load existing files and it returns the paths of the dummy files relative
											# to the dummy_data zip file root
											snake_case__	  =       load_existing_dummy_data

											# TODO(PVP, QL) might need to make this more general
											snake_case__	  =       str(__A)
											# to be downloaded
											snake_case__	  =       None
											snake_case__	  =       None



				@property
				def 					__magic_name__							(      self    :    str):






											'''simple docstring'''







											if self._dummy_file is None:
																		snake_case__	  =       self.download_dummy_data()
											return self._dummy_file



				@property
				def 					__magic_name__							(      self    :    Any):






											'''simple docstring'''







											if self.config is not None:
																		# structure is dummy / config_name / version_name
																		return os.path.join("""dummy"""			,		self.config.name			,		self.version_name)
											# structure is dummy / version_name
											return os.path.join("""dummy"""			,		self.version_name)



				@property
				def 					__magic_name__							(      self    :    Optional[Any]):






											'''simple docstring'''







											return os.path.join(self.dummy_data_folder			,		"""dummy_data.zip""")



				def 					__magic_name__							(      self    :    List[Any]):






											'''simple docstring'''







											snake_case__	  =       (
											    self.local_path_to_dummy_data if self.use_local_dummy_data is True else self.github_path_to_dummy_data
											)

											snake_case__	  =       cached_path(
											    __A			,		cache_dir=self.cache_dir			,		extract_compressed_file=__A			,		force_extract=__A)

											return os.path.join(__A			,		self.dummy_file_name)



				@property
				def 					__magic_name__							(      self    :    str):






											'''simple docstring'''







											return os.path.join(self.datasets_scripts_dir			,		self.dataset_name			,		self.dummy_zip_file)



				@property
				def 					__magic_name__							(      self    :    List[str]):






											'''simple docstring'''







											if self._bucket_url is None:
																		snake_case__	  =       hf_github_url(self.dataset_name			,		self.dummy_zip_file.replace(os.sep			,		"""/"""))
											return self._bucket_url



				@property
				def 					__magic_name__							(      self    :    List[str]):






											'''simple docstring'''







											if os.path.isdir(self.dummy_file):
																		return self.dummy_file
											# else cut off path to file -> example `xsum`.
											return "/".join(self.dummy_file.replace(os.sep			,		"""/""").split("""/""")[:-1])



				def 					__magic_name__							(      self    :    Union[str, Any]			,		UpperCamelCase__    :    Optional[Any]			,		*UpperCamelCase__    :    Optional[int]):






											'''simple docstring'''







											if self.load_existing_dummy_data:
																		# dummy data is downloaded and tested
																		snake_case__	  =       self.dummy_file
											else:
																		# dummy data cannot be downloaded and only the path to dummy file is returned
																		snake_case__	  =       self.dummy_file_name

											# special case when data_url is a dict
											if isinstance(__A			,		__A):
																		return self.create_dummy_data_dict(__A			,		__A)
											elif isinstance(__A			,		(list, tuple)):
																		return self.create_dummy_data_list(__A			,		__A)
											else:
																		return self.create_dummy_data_single(__A			,		__A)



				def 					__magic_name__							(      self    :    Union[str, Any]			,		UpperCamelCase__    :    List[str]			,		*UpperCamelCase__    :    List[Any]):






											'''simple docstring'''







											return self.download_and_extract(__A)



				def 					__magic_name__							(      self    :    Any			,		UpperCamelCase__    :    Union[str, Any]			,		UpperCamelCase__    :    str):






											'''simple docstring'''







											return self.download_and_extract(__A)



				def 					__magic_name__							(      self    :    Union[str, Any]			,		UpperCamelCase__    :    int			,		*UpperCamelCase__    :    List[str]			,		**UpperCamelCase__    :    str):






											'''simple docstring'''







											return path



				def 					__magic_name__							(      self    :    Optional[Any]):






											'''simple docstring'''







											return {}



				def 					__magic_name__							(      self    :    Dict			,		UpperCamelCase__    :    int			,		UpperCamelCase__    :    Tuple):






											'''simple docstring'''







											snake_case__	  =       {}
											for key, single_urls in data_url.items():
																		for download_callback in self.download_callbacks:
																									if isinstance(__A			,		__A):
																																for single_url in single_urls:
																																							download_callback(__A)
																									else:
																																snake_case__	  =       single_urls
																																download_callback(__A)
            # we force the name of each key to be the last file / folder name of the url path
            # if the url has arguments, we need to encode them with urllib.parse.quote_plus
																		if isinstance(__A			,		__A):
																									snake_case__	  =       [os.path.join(__A			,		urllib.parse.quote_plus(Path(__A).name)) for x in single_urls]
																		else:
																									snake_case__	  =       single_urls
																									snake_case__	  =       os.path.join(__A			,		urllib.parse.quote_plus(Path(__A).name))
																		snake_case__	  =       value

											# make sure that values are unique
											if all(isinstance(__A			,		__A) for i in dummy_data_dict.values()) and len(set(dummy_data_dict.values())) < len(
											    dummy_data_dict.values()):
																		# append key to value to make its name unique
																		snake_case__	  =       {key: value + key for key, value in dummy_data_dict.items()}

											return dummy_data_dict



				def 					__magic_name__							(      self    :    List[Any]			,		UpperCamelCase__    :    Optional[Any]			,		UpperCamelCase__    :    Union[str, Any]):






											'''simple docstring'''







											snake_case__	  =       []
											# trick: if there are many shards named like `data.txt-000001-of-00300`, only use the first one
											snake_case__	  =       all(bool(re.findall("""[0-9]{3,}-of-[0-9]{3,}"""			,		__A)) for url in data_url)
											snake_case__	  =       all(
											    url.startswith("""https://ftp.ncbi.nlm.nih.gov/pubmed/baseline/pubmed""") for url in data_url)
											if data_url and (is_tf_records or is_pubmed_records):
																		snake_case__	  =       [data_url[0]] * len(__A)
											for single_url in data_url:
																		for download_callback in self.download_callbacks:
																									download_callback(__A)
																		# we force the name of each key to be the last file / folder name of the url path
																		# if the url has arguments, we need to encode them with urllib.parse.quote_plus
																		snake_case__	  =       os.path.join(__A			,		urllib.parse.quote_plus(single_url.split("""/""")[-1]))
																		dummy_data_list.append(__A)
											return dummy_data_list



				def 					__magic_name__							(      self    :    Optional[int]			,		UpperCamelCase__    :    List[Any]			,		UpperCamelCase__    :    Any):






											'''simple docstring'''







											for download_callback in self.download_callbacks:
																		download_callback(__A)
											# we force the name of each key to be the last file / folder name of the url path
											# if the url has arguments, we need to encode them with urllib.parse.quote_plus
											snake_case__	  =       os.path.join(__A			,		urllib.parse.quote_plus(data_url.split("""/""")[-1]))
											if os.path.exists(__A) or not self.load_existing_dummy_data:
																		return value
											else:
																		# Backward compatibility, maybe deprecate at one point.
																		# For many datasets with single url calls to dl_manager.download_and_extract,
																		# the dummy_data.zip file is actually the zipped downloaded file
																		# while now we expected the dummy_data.zip file to be a directory containing
																		# the downloaded file.
																		return path_to_dummy_data



				def 					__magic_name__							(      self    :    List[str]):






											'''simple docstring'''







											pass



				def 					__magic_name__							(      self    :    Dict):






											'''simple docstring'''







											pass



				def 					__magic_name__							(      self    :    Any			,		UpperCamelCase__    :    Any):






											'''simple docstring'''







											def _iter_archive_members(UpperCamelCase__    :    Tuple):
																		# this preserves the order of the members inside the ZIP archive
																		snake_case__	  =       Path(self.dummy_file).parent
																		snake_case__	  =       path.relative_to(__A)
																		with ZipFile(self.local_path_to_dummy_data) as zip_file:
																									snake_case__	  =       zip_file.namelist()
																		for member in members:
																									if member.startswith(relative_path.as_posix()):
																																yield dummy_parent_path.joinpath(__A)

											snake_case__	  =       Path(__A)
											snake_case__	  =       _iter_archive_members(__A) if self.use_local_dummy_data else path.rglob("""*""")
											for file_path in file_paths:
																		if file_path.is_file() and not file_path.name.startswith((""".""", """__""")):
																									yield file_path.relative_to(__A).as_posix(), file_path.open("""rb""")



				def 					__magic_name__							(      self    :    int			,		UpperCamelCase__    :    Any):






											'''simple docstring'''







											if not isinstance(__A			,		__A):
																		snake_case__	  =       [paths]
											for path in paths:
																		if os.path.isfile(__A):
																									if os.path.basename(__A).startswith((""".""", """__""")):
																																return
																									yield path
																		else:
																									for dirpath, dirnames, filenames in os.walk(__A):
																																if os.path.basename(__A).startswith((""".""", """__""")):
																																							continue
																																dirnames.sort()
																																for filename in sorted(__A):
																																							if filename.startswith((""".""", """__""")):
																																														continue
																																							yield os.path.join(__A			,		__A)








import unittest

import torch

from diffusers import VQModel
from diffusers.utils import floats_tensor, torch_device
from diffusers.utils.testing_utils import enable_full_determinism

from .test_modeling_common import ModelTesterMixin, UNetTesterMixin


enable_full_determinism()


class    _lowerCAmelCase			(		lowercase_     ,      lowercase_     ,      unittest.TestCase      ):



				"""simple docstring"""



				_lowercase				:   Optional[int]      =  VQModel
				_lowercase				:   str      =  '''sample'''



				@property
				def 					__magic_name__							(      self    :    Union[str, Any]			,		UpperCamelCase__    :    Tuple=(3_2, 3_2)):






											'''simple docstring'''







											snake_case__	  =       4
											snake_case__	  =       3

											snake_case__	  =       floats_tensor((batch_size, num_channels) + sizes).to(UpperCamelCase__)

											return {"sample": image}



				@property
				def 					__magic_name__							(      self    :    str):






											'''simple docstring'''







											return (3, 3_2, 3_2)



				@property
				def 					__magic_name__							(      self    :    List[str]):






											'''simple docstring'''







											return (3, 3_2, 3_2)



				def 					__magic_name__							(      self    :    int):






											'''simple docstring'''







											snake_case__	  =       {
											    """block_out_channels""": [3_2, 6_4],
											    """in_channels""": 3,
											    """out_channels""": 3,
											    """down_block_types""": ["""DownEncoderBlock2D""", """DownEncoderBlock2D"""],
											    """up_block_types""": ["""UpDecoderBlock2D""", """UpDecoderBlock2D"""],
											    """latent_channels""": 3,
											}
											snake_case__	  =       self.dummy_input
											return init_dict, inputs_dict



				def 					__magic_name__							(      self    :    Optional[int]):






											'''simple docstring'''







											pass



				def 					__magic_name__							(      self    :    Tuple):






											'''simple docstring'''







											pass



				def 					__magic_name__							(      self    :    str):






											'''simple docstring'''







											snake_case__  , snake_case__	  =       VQModel.from_pretrained("""fusing/vqgan-dummy"""			,		output_loading_info=UpperCamelCase__)
											self.assertIsNotNone(UpperCamelCase__)
											self.assertEqual(len(loading_info["""missing_keys"""])			,		0)

											model.to(UpperCamelCase__)
											snake_case__	  =       model(**self.dummy_input)

											assert image is not None, "Make sure output is not None"



				def 					__magic_name__							(      self    :    Dict):






											'''simple docstring'''







											snake_case__	  =       VQModel.from_pretrained("""fusing/vqgan-dummy""")
											model.to(UpperCamelCase__).eval()

											torch.manual_seed(0)
											if torch.cuda.is_available():
																		torch.cuda.manual_seed_all(0)

											snake_case__	  =       torch.randn(1			,		model.config.in_channels			,		model.config.sample_size			,		model.config.sample_size)
											snake_case__	  =       image.to(UpperCamelCase__)
											with torch.no_grad():
																		snake_case__	  =       model(UpperCamelCase__).sample

											snake_case__	  =       output[0, -1, -3:, -3:].flatten().cpu()
											# fmt: off
											snake_case__	  =       torch.tensor([-0.01_53, -0.40_44, -0.18_80, -0.51_61, -0.24_18, -0.40_72, -0.16_12, -0.06_33, -0.01_43])
											# fmt: on
											self.assertTrue(torch.allclose(UpperCamelCase__			,		UpperCamelCase__			,		atol=1E-3))
