



"""simple docstring"""






import os
import shutil
import unittest
from unittest.mock import patch

from transformers.testing_utils import CaptureStd, is_pt_tf_cross_test, require_torch

class 	__lowerCAmelCase							(unittest.TestCase  ):


					'''simple docstring'''


					@patch("sys.argv"    ,       ["fakeprogrampath", "env"]   )
					def 		_a (      self   ):




										"""simple docstring"""





										import transformers.commands.transformers_cli

										with CaptureStd() as cs:
															transformers.commands.transformers_cli.main()
										self.assertIn("Python version"    ,       cs.out   )
										self.assertIn("Platform"    ,       cs.out   )
										self.assertIn("Using distributed or parallel set-up in script?"    ,       cs.out   )







					@is_pt_tf_cross_test
					@patch(
					    "sys.argv"    ,       ["fakeprogrampath", "pt-to-tf", "--model-name", "hf-internal-testing/tiny-random-gptj", "--no-pr"]   )
					def 		_a (      self   ):




										"""simple docstring"""





										import transformers.commands.transformers_cli

										shutil.rmtree("/tmp/hf-internal-testing/tiny-random-gptj"    ,       ignore_errors=a   )  # cleans potential past runs
										transformers.commands.transformers_cli.main()

										# The original repo has no TF weights -- if they exist, they were created by the CLI
										self.assertTrue(os.path.exists("/tmp/hf-internal-testing/tiny-random-gptj/tf_model.h5"   )   )







					@require_torch
					@patch("sys.argv"    ,       ["fakeprogrampath", "download", "hf-internal-testing/tiny-random-gptj", "--cache-dir", "/tmp"]   )
					def 		_a (      self   ):




										"""simple docstring"""





										import transformers.commands.transformers_cli

										# # remove any previously downloaded model to start clean
										shutil.rmtree("/tmp/models--hf-internal-testing--tiny-random-gptj"    ,       ignore_errors=a   )

										# run the command
										transformers.commands.transformers_cli.main()

										# check if the model files are downloaded correctly on /tmp/models--hf-internal-testing--tiny-random-gptj
										self.assertTrue(os.path.exists("/tmp/models--hf-internal-testing--tiny-random-gptj/blobs"   )   )
										self.assertTrue(os.path.exists("/tmp/models--hf-internal-testing--tiny-random-gptj/refs"   )   )
										self.assertTrue(os.path.exists("/tmp/models--hf-internal-testing--tiny-random-gptj/snapshots"   )   )







					@require_torch
					@patch(
					    "sys.argv"    ,       [
					        "fakeprogrampath",
					        "download",
					        "hf-internal-testing/test_dynamic_model_with_tokenizer",
					        "--trust-remote-code",
					        "--cache-dir",
					        "/tmp",
					    ]    ,       )
					def 		_a (      self   ):




										"""simple docstring"""





										import transformers.commands.transformers_cli

										# # remove any previously downloaded model to start clean
										shutil.rmtree("/tmp/models--hf-internal-testing--test_dynamic_model_with_tokenizer"    ,       ignore_errors=a   )

										# run the command
										transformers.commands.transformers_cli.main()

										# check if the model files are downloaded correctly on /tmp/models--hf-internal-testing--test_dynamic_model_with_tokenizer
										self.assertTrue(os.path.exists("/tmp/models--hf-internal-testing--test_dynamic_model_with_tokenizer/blobs"   )   )
										self.assertTrue(os.path.exists("/tmp/models--hf-internal-testing--test_dynamic_model_with_tokenizer/refs"   )   )
										self.assertTrue(
										    os.path.exists("/tmp/models--hf-internal-testing--test_dynamic_model_with_tokenizer/snapshots"   )   )






"""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')

