

"""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


__lowerCAmelCase				      =   get_logger(__name__)
def 		A_	(   __UpperCamelCase     :				Optional[int]				):
		if version.parse(__UpperCamelCase				) < version.parse(__UpperCamelCase				):
				if "dev" in min_version:
						lowercase										=							(
						    '''This example requires a source install from HuggingFace diffusers (see '''
						    '''`https://huggingface.co/docs/diffusers/installation#install-from-source`),'''
						)
				else:
						lowercase										=							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_	(   __UpperCamelCase     :				str       ,	__UpperCamelCase     :				str				):
		if not isinstance(__UpperCamelCase       ,	__UpperCamelCase				):
				raise TypeError('''plaintext must be a string'''				)
		if not isinstance(__UpperCamelCase       ,	__UpperCamelCase				):
				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
		lowercase										=							plaintext.lower()
		lowercase										=							key.lower()
		lowercase										=							0
		lowercase										=							0
		lowercase										=							''''''
		while plaintext_iterator < len(__UpperCamelCase				):
				if (
				    ord(plaintext[plaintext_iterator]				) < 97
				    or ord(plaintext[plaintext_iterator]				) > 1_22
				):
						ciphertext += plaintext[plaintext_iterator]
						plaintext_iterator += 1
				elif ord(key[key_iterator]				) < 97 or ord(key[key_iterator]				) > 1_22:
						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_	(   __UpperCamelCase     :				str       ,	__UpperCamelCase     :				str				):
		if not isinstance(__UpperCamelCase       ,	__UpperCamelCase				):
				raise TypeError('''ciphertext must be a string'''				)
		if not isinstance(__UpperCamelCase       ,	__UpperCamelCase				):
				raise TypeError('''key must be a string'''				)

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

		lowercase										=							key.lower()
		lowercase										=							0
		lowercase										=							0
		lowercase										=							''''''
		while ciphertext_iterator < len(__UpperCamelCase				):
				if (
				    ord(ciphertext[ciphertext_iterator]				) < 97
				    or ord(ciphertext[ciphertext_iterator]				) > 1_22
				):
						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()
							__lowerCAmelCase				      =   int(input('''Type 1 to encrypt or 2 to decrypt:'''))
							if operation == 1:
														__lowerCAmelCase				      =   input('''Typeplaintext to be encrypted:\n''')
														__lowerCAmelCase				      =   input('''Type the key:\n''')
														print(encrypt(plaintext, key))
							elif operation == 2:
														__lowerCAmelCase				      =   input('''Type the ciphertext to be decrypted:\n''')
														__lowerCAmelCase				      =   input('''Type the key:\n''')
														print(decrypt(ciphertext, key))
							decrypt('''jsqqs avvwo''', '''coffee''')