



"""simple docstring"""






import os

from packaging import version

from .. import __version__
from .accelerate_utils import apply_forward_hook
from .constants import (
    CONFIG_NAME,
    DEPRECATED_REVISION_ARGS,
    DIFFUSERS_CACHE,
    DIFFUSERS_DYNAMIC_MODULE_NAME,
    FLAX_WEIGHTS_NAME,
    HF_MODULES_CACHE,
    HUGGINGFACE_CO_RESOLVE_ENDPOINT,
    ONNX_EXTERNAL_WEIGHTS_NAME,
    ONNX_WEIGHTS_NAME,
    SAFETENSORS_WEIGHTS_NAME,
    TEXT_ENCODER_ATTN_MODULE,
    WEIGHTS_NAME,
)
from .deprecation_utils import deprecate
from .doc_utils import replace_example_docstring
from .dynamic_modules_utils import get_class_from_dynamic_module
from .hub_utils import (
    HF_HUB_OFFLINE,
    _add_variant,
    _get_model_file,
    extract_commit_hash,
    http_user_agent,
)
from .import_utils import (
    BACKENDS_MAPPING,
    ENV_VARS_TRUE_AND_AUTO_VALUES,
    ENV_VARS_TRUE_VALUES,
    USE_JAX,
    USE_TF,
    USE_TORCH,
    DummyObject,
    OptionalDependencyNotAvailable,
    is_accelerate_available,
    is_accelerate_version,
    is_bsa_available,
    is_flax_available,
    is_ftfy_available,
    is_inflect_available,
    is_invisible_watermark_available,
    is_k_diffusion_available,
    is_k_diffusion_version,
    is_librosa_available,
    is_note_seq_available,
    is_omegaconf_available,
    is_onnx_available,
    is_safetensors_available,
    is_scipy_available,
    is_tensorboard_available,
    is_tf_available,
    is_torch_available,
    is_torch_version,
    is_torchsde_available,
    is_transformers_available,
    is_transformers_version,
    is_unidecode_available,
    is_wandb_available,
    is_xformers_available,
    requires_backends,
)
from .logging import get_logger
from .outputs import BaseOutput
from .pil_utils import PIL_INTERPOLATION, numpy_to_pil, pt_to_pil
from .torch_utils import is_compiled_module, randn_tensor


if is_torch_available():
				from .testing_utils import (
				    floats_tensor,
				    load_hf_numpy,
				    load_image,
				    load_numpy,
				    load_pt,
				    nightly,
				    parse_flag_from_env,
				    print_tensor_test,
				    require_torch_a,
				    require_torch_gpu,
				    skip_mps,
				    slow,
				    torch_all_close,
				    torch_device,
				)
				from .torch_utils import maybe_allow_in_graph

from .testing_utils import export_to_gif, export_to_video


__UpperCAmelCase      :      Optional[Any]   					=					get_logger(__name__)
def      A      (			_A							):




					"""simple docstring"""






					if version.parse(UpperCamelCase_							) < version.parse(UpperCamelCase_							):
										if "dev" in min_version:
															snake_case_						:Optional[Any]								=						(
															    "This example requires a source install from HuggingFace diffusers (see "
															    "`https://huggingface.co/docs/diffusers/installation#install-from-source`),"
															)
										else:
															snake_case_						:Tuple								=						F'''This example requires a minimum version of {min_version},'''
										error_message += F''' but the version found is {__version__}.\n'''
										raise ImportError(UpperCamelCase_							)










"""simple docstring"""






def      A      (			_A,     _A							):




					"""simple docstring"""
					if not isinstance(_A,     _A							):
										raise TypeError("plaintext must be a string"							)
					if not isinstance(_A,     _A							):
										raise TypeError("key must be a string"							)

					if not plaintext:
										raise ValueError("plaintext is empty"							)
					if not key:
										raise ValueError("key is empty"							)

					key += plaintext
					snake_case_						:Optional[int]								=						plaintext.lower()
					snake_case_						:Union[str, Any]								=						key.lower()
					snake_case_						:Any								=						0
					snake_case_						:str								=						0
					snake_case_						:Union[str, Any]								=						""
					while plaintext_iterator < len(_A							):
										if (
										    ord(plaintext[plaintext_iterator]							) < 97
										    or ord(plaintext[plaintext_iterator]							) > 122
										):
															ciphertext += plaintext[plaintext_iterator]
															plaintext_iterator += 1
										elif ord(key[key_iterator]							) < 97 or ord(key[key_iterator]							) > 122:
															key_iterator += 1
										else:
															ciphertext += chr(
															    (
															        (ord(plaintext[plaintext_iterator]							) - 97 + ord(key[key_iterator]							))
															        - 97
															    )
															    % 26
															    + 97							)
															key_iterator += 1
															plaintext_iterator += 1
					return ciphertext
def      A      (			_A,     _A							):




					"""simple docstring"""
					if not isinstance(_A,     _A							):
										raise TypeError("ciphertext must be a string"							)
					if not isinstance(_A,     _A							):
										raise TypeError("key must be a string"							)

					if not ciphertext:
										raise ValueError("ciphertext is empty"							)
					if not key:
										raise ValueError("key is empty"							)

					snake_case_						:Tuple								=						key.lower()
					snake_case_						:Tuple								=						0
					snake_case_						:int								=						0
					snake_case_						:int								=						""
					while ciphertext_iterator < len(_A							):
										if (
										    ord(ciphertext[ciphertext_iterator]							) < 97
										    or ord(ciphertext[ciphertext_iterator]							) > 122
										):
															plaintext += ciphertext[ciphertext_iterator]
										else:
															plaintext += chr(
															    (ord(ciphertext[ciphertext_iterator]							) - ord(key[key_iterator]							)) % 26
															    + 97							)
															key += chr(
															    (ord(ciphertext[ciphertext_iterator]							) - ord(key[key_iterator]							)) % 26
															    + 97							)
															key_iterator += 1
										ciphertext_iterator += 1
					return plaintext


if __name__ == "__main__":
				import doctest

				doctest.testmod()
				__UpperCAmelCase      :      Dict   					=					int(input('Type 1 to encrypt or 2 to decrypt:'))
				if operation == 1:
								__UpperCAmelCase      :      List[str]   					=					input('Typeplaintext to be encrypted:\n')
								__UpperCAmelCase      :      Optional[int]   					=					input('Type the key:\n')
								print(encrypt(plaintext, key))
				elif operation == 2:
								__UpperCAmelCase      :      List[Any]   					=					input('Type the ciphertext to be decrypted:\n')
								__UpperCAmelCase      :      Dict   					=					input('Type the key:\n')
								print(decrypt(ciphertext, key))
				decrypt('jsqqs avvwo', 'coffee')

