



"""simple docstring"""






import os
import sys

from . import rsa_key_generator as rkg

_lowercase					:					List[Any] 		=		1_2_8
_lowercase					:					Union[str, Any] 		=		2_5_6






def 	snake_case__  (						__lowerCamelCase							:       str				,						__lowerCamelCase							:       int = DEFAULT_BLOCK_SIZE      ):
			"""simple docstring"""
			lowerCamelCase__						:						Optional[int]						      =message.encode('''ascii'''      )

			lowerCamelCase__						:						Dict						      =[]
			for block_start in range(0				,						len(__lowerCamelCase      )				,						__lowerCamelCase      ):
						lowerCamelCase__						:						List[Any]						      =0
						for i in range(__lowerCamelCase				,						min(block_start + block_size				,						len(__lowerCamelCase      )      )      ):
									block_int += message_bytes[i] * (BYTE_SIZE ** (i % block_size))
						block_ints.append(__lowerCamelCase      )
			return block_ints






def 	snake_case__  (						__lowerCamelCase							:       list[int]				,						__lowerCamelCase							:       int				,						__lowerCamelCase							:       int = DEFAULT_BLOCK_SIZE      ):
			"""simple docstring"""
			lowerCamelCase__						:						list[str]						      =[]
			for block_int in block_ints:
						lowerCamelCase__						:						list[str]						      =[]
						for i in range(block_size - 1				,						-1				,						-1      ):
									if len(__lowerCamelCase      ) + i < message_length:
												lowerCamelCase__						:						List[str]						      =block_int // (BYTE_SIZE**i)
												lowerCamelCase__						:						Optional[Any]						      =block_int % (BYTE_SIZE**i)
												block_message.insert(0				,						chr(__lowerCamelCase      )      )
						message.extend(__lowerCamelCase      )
			return "".join(__lowerCamelCase      )






def 	snake_case__  (						__lowerCamelCase							:       str				,						__lowerCamelCase							:       tuple[int, int]				,						__lowerCamelCase							:       int = DEFAULT_BLOCK_SIZE      ):
			"""simple docstring"""
			lowerCamelCase__						:						List[str]						      =[]
			lowerCamelCase__      ,  lowerCamelCase__						:						Union[str, Any]						      =key

			for block in get_blocks_from_text(__lowerCamelCase				,						__lowerCamelCase      ):
						encrypted_blocks.append(pow(__lowerCamelCase				,						__lowerCamelCase				,						__lowerCamelCase      )      )
			return encrypted_blocks






def 	snake_case__  (						__lowerCamelCase							:       list[int]				,						__lowerCamelCase							:       int				,						__lowerCamelCase							:       tuple[int, int]				,						__lowerCamelCase							:       int = DEFAULT_BLOCK_SIZE				,						):
			"""simple docstring"""
			lowerCamelCase__						:						Optional[Any]						      =[]
			lowerCamelCase__      ,  lowerCamelCase__						:						Dict						      =key
			for block in encrypted_blocks:
						decrypted_blocks.append(pow(__lowerCamelCase				,						__lowerCamelCase				,						__lowerCamelCase      )      )
			return get_text_from_blocks(__lowerCamelCase				,						__lowerCamelCase				,						__lowerCamelCase      )






def 	snake_case__  (						__lowerCamelCase							:       str      ):
			"""simple docstring"""
			with open(__lowerCamelCase      ) as fo:
						lowerCamelCase__						:						List[str]						      =fo.read()
			lowerCamelCase__      ,  lowerCamelCase__      ,  lowerCamelCase__						:						Dict						      =content.split(''','''      )
			return (int(__lowerCamelCase      ), int(__lowerCamelCase      ), int(__lowerCamelCase      ))






def 	snake_case__  (						__lowerCamelCase							:       str				,						__lowerCamelCase							:       str				,						__lowerCamelCase							:       str				,						__lowerCamelCase							:       int = DEFAULT_BLOCK_SIZE				,						):
			"""simple docstring"""
			lowerCamelCase__      ,  lowerCamelCase__      ,  lowerCamelCase__						:						str						      =read_key_file(__lowerCamelCase      )
			if key_size < block_size * 8:
						sys.exit(
						    '''ERROR: Block size is {} bits and key size is {} bits. The RSA cipher '''
						    '''requires the block size to be equal to or greater than the key size. '''
						    '''Either decrease the block size or use different keys.'''.format(
						        block_size * 8				,						__lowerCamelCase      )      )

			lowerCamelCase__						:						str						      =[str(__lowerCamelCase      ) for i in encrypt_message(__lowerCamelCase				,						(n, e)				,						__lowerCamelCase      )]

			lowerCamelCase__						:						Tuple						      =''','''.join(__lowerCamelCase      )
			lowerCamelCase__						:						Union[str, Any]						      =f'''{len(__lowerCamelCase      )}_{block_size}_{encrypted_content}'''
			with open(__lowerCamelCase				,						'''w'''      ) as fo:
						fo.write(__lowerCamelCase      )
			return encrypted_content






def 	snake_case__  (						__lowerCamelCase							:       str				,						__lowerCamelCase							:       str      ):
			"""simple docstring"""
			lowerCamelCase__      ,  lowerCamelCase__      ,  lowerCamelCase__						:						Tuple						      =read_key_file(__lowerCamelCase      )
			with open(__lowerCamelCase      ) as fo:
						lowerCamelCase__						:						Dict						      =fo.read()
			lowerCamelCase__      ,  lowerCamelCase__      ,  lowerCamelCase__						:						int						      =content.split('''_'''      )
			lowerCamelCase__						:						Dict						      =int(__lowerCamelCase      )
			lowerCamelCase__						:						List[str]						      =int(__lowerCamelCase      )

			if key_size < block_size * 8:
						sys.exit(
						    '''ERROR: Block size is {} bits and key size is {} bits. The RSA cipher '''
						    '''requires the block size to be equal to or greater than the key size. '''
						    '''Did you specify the correct key file and encrypted file?'''.format(
						        block_size * 8				,						__lowerCamelCase      )      )

			lowerCamelCase__						:						Optional[int]						      =[]
			for block in encrypted_message.split(''','''      ):
						encrypted_blocks.append(int(__lowerCamelCase      )      )

			return decrypt_message(__lowerCamelCase				,						__lowerCamelCase				,						(n, d)				,						__lowerCamelCase      )






def 	snake_case__  (						):
			"""simple docstring"""
			lowerCamelCase__						:						Optional[Any]						      ='''encrypted_file.txt'''
			lowerCamelCase__						:						List[Any]						      =input(R'''Encrypt\Decrypt [e\d]: '''      )

			if response.lower().startswith('''e'''      ):
						lowerCamelCase__						:						Any						      ='''encrypt'''
			elif response.lower().startswith('''d'''      ):
						lowerCamelCase__						:						Dict						      ='''decrypt'''

			if mode == "encrypt":
						if not os.path.exists('''rsa_pubkey.txt'''      ):
									rkg.make_key_files('''rsa'''				,						1024      )

						lowerCamelCase__						:						Tuple						      =input('''\nEnter message: '''      )
						lowerCamelCase__						:						List[str]						      ='''rsa_pubkey.txt'''
						print(f'''Encrypting and writing to {filename}...'''      )
						lowerCamelCase__						:						List[Any]						      =encrypt_and_write_to_file(__lowerCamelCase				,						__lowerCamelCase				,						__lowerCamelCase      )

						print('''\nEncrypted text:'''      )
						print(__lowerCamelCase      )

			elif mode == "decrypt":
						lowerCamelCase__						:						int						      ='''rsa_privkey.txt'''
						print(f'''Reading from {filename} and decrypting...'''      )
						lowerCamelCase__						:						Dict						      =read_from_file_and_decrypt(__lowerCamelCase				,						__lowerCamelCase      )
						print('''writing decryption to rsa_decryption.txt...'''      )
						with open('''rsa_decryption.txt'''				,						'''w'''      ) as dec:
									dec.write(__lowerCamelCase      )

						print('''\nDecryption:'''      )
						print(__lowerCamelCase      )


if __name__ == "__main__":
		main()






"""simple docstring"""







import os
import sys
from pathlib import Path

import pytest

from datasets import Dataset, IterableDataset
from datasets.distributed import split_dataset_by_node

from .utils import execute_subprocess_async, get_torch_dist_unique_port, require_torch
def        __lowerCAmelCase							():
	__lowerCAmelCase     :		Optional[int]		     = Dataset.from_dict({'i': range(17						)}						)
	__lowerCAmelCase     :		List[Any]		     = len(_UpperCamelCase						)
	__lowerCAmelCase     :		Tuple		     = 3
	__lowerCAmelCase     :		List[Any]		     = [
	    split_dataset_by_node(_UpperCamelCase			,    rank=_UpperCamelCase			,    world_size=_UpperCamelCase						) for rank in range(_UpperCamelCase						)
	]
	assert sum(len(_UpperCamelCase						) for ds in datasets_per_rank						) == full_size
	assert len({tuple(x.values()						) for ds in datasets_per_rank for x in ds}						) == full_size
def        __lowerCAmelCase							():
	def gen():
		return ({"i": i} for i in range(17						))

	__lowerCAmelCase     :		List[Any]		     = 3
	__lowerCAmelCase     :		Optional[Any]		     = IterableDataset.from_generator(_UpperCamelCase						)
	__lowerCAmelCase     :		List[Any]		     = len(list(_UpperCamelCase						)						)
	__lowerCAmelCase     :		str		     = [
	    split_dataset_by_node(_UpperCamelCase			,    rank=_UpperCamelCase			,    world_size=_UpperCamelCase						) for rank in range(_UpperCamelCase						)
	]
	assert sum(len(list(_UpperCamelCase						)						) for ds in datasets_per_rank						) == full_size
	assert len({tuple(x.values()						) for ds in datasets_per_rank for x in ds}						) == full_size
@pytest.mark.parametrize('shards_per_node'			,    [1, 2, 3]						)
def        __lowerCAmelCase							(_UpperCamelCase						):
	def gen(_UpperCamelCase						):
		for shard in shards:
			yield from ({"i": i, "shard": shard} for i in range(17						))

	__lowerCAmelCase     :		List[Any]		     = 3
	__lowerCAmelCase     :		Optional[int]		     = shards_per_node * world_size
	__lowerCAmelCase     :		Dict		     = {'shards': [F"shard_{shard_idx}.txt" for shard_idx in range(_UpperCamelCase						)]}
	__lowerCAmelCase     :		Dict		     = IterableDataset.from_generator(_UpperCamelCase			,    gen_kwargs=_UpperCamelCase						)
	__lowerCAmelCase     :		str		     = len(list(_UpperCamelCase						)						)
	assert full_ds.n_shards == world_size * shards_per_node
	__lowerCAmelCase     :		Union[str, Any]		     = [
	    split_dataset_by_node(_UpperCamelCase			,    rank=_UpperCamelCase			,    world_size=_UpperCamelCase						) for rank in range(_UpperCamelCase						)
	]
	assert [ds.n_shards for ds in datasets_per_rank] == [shards_per_node] * world_size
	assert sum(len(list(_UpperCamelCase						)						) for ds in datasets_per_rank						) == full_size
	assert len({tuple(x.values()						) for ds in datasets_per_rank for x in ds}						) == full_size
def        __lowerCAmelCase							():
	def gen():
		return ({"i": i} for i in range(17						))

	__lowerCAmelCase     :		str		     = 2
	__lowerCAmelCase     :		Any		     = IterableDataset.from_generator(_UpperCamelCase						)
	__lowerCAmelCase     :		Optional[int]		     = len(list(_UpperCamelCase						)						)

	__lowerCAmelCase     :		Dict		     = split_dataset_by_node(_UpperCamelCase			,    rank=0			,    world_size=_UpperCamelCase						).shuffle(seed=42						)
	assert len(list(_UpperCamelCase						)						) == 1 + full_size // world_size
	with pytest.raises(_UpperCamelCase						):
		split_dataset_by_node(_UpperCamelCase			,    rank=0			,    world_size=_UpperCamelCase						).shuffle()

	__lowerCAmelCase     :		List[str]		     = split_dataset_by_node(full_ds.shuffle(seed=42						)			,    rank=0			,    world_size=_UpperCamelCase						)
	assert len(list(_UpperCamelCase						)						) == 1 + full_size // world_size
	with pytest.raises(_UpperCamelCase						):
		split_dataset_by_node(full_ds.shuffle()			,    rank=0			,    world_size=_UpperCamelCase						)
@pytest.mark.parametrize('streaming'			,    [False, True]						)
@require_torch
@pytest.mark.skipif(os.name == 'nt'			,    reason='execute_subprocess_async doesn\'t support windows'						)
@pytest.mark.integration
def        __lowerCAmelCase							(_UpperCamelCase						):
	__lowerCAmelCase     :		Tuple		     = 2
	__lowerCAmelCase     :		Optional[Any]		     = get_torch_dist_unique_port()
	__lowerCAmelCase     :		List[Any]		     = Path(_UpperCamelCase						).resolve().parent / 'distributed_scripts' / 'launch_torch_distributed.py'
	__lowerCAmelCase     :		int		     = F"\n        -m torch.distributed.launch\n        --nproc_per_node={nproc_per_node}\n        --master_port={master_port}\n        {test_script}\n    ".split()
	__lowerCAmelCase     :		Tuple		     = F"\n        --streaming={streaming}\n    ".split()
	__lowerCAmelCase     :		Optional[Any]		     = [sys.executable] + distributed_args + args
	execute_subprocess_async(_UpperCamelCase			,    env=os.environ.copy()						)
@pytest.mark.parametrize(
    'nproc_per_node, num_workers'			,    [
        (2, 2),  # each node has 2 shards and each worker has 1 shards
        (3, 2),  # each node uses all the shards but skips examples, and each worker has 2 shards
    ]			,    )
@require_torch
@pytest.mark.skipif(os.name == 'nt'			,    reason='execute_subprocess_async doesn\'t support windows'						)
@pytest.mark.integration
def        __lowerCAmelCase							(_UpperCamelCase			,    _UpperCamelCase						):
	__lowerCAmelCase     :		Optional[int]		     = True
	__lowerCAmelCase     :		Optional[Any]		     = get_torch_dist_unique_port()
	__lowerCAmelCase     :		Tuple		     = Path(_UpperCamelCase						).resolve().parent / 'distributed_scripts' / 'launch_torch_distributed.py'
	__lowerCAmelCase     :		Optional[Any]		     = F"\n        -m torch.distributed.launch\n        --nproc_per_node={nproc_per_node}\n        --master_port={master_port}\n        {test_script}\n    ".split()
	__lowerCAmelCase     :		List[Any]		     = F"\n        --streaming={streaming}\n        --num_workers={num_workers}\n    ".split()
	__lowerCAmelCase     :		List[Any]		     = [sys.executable] + distributed_args + args
	execute_subprocess_async(_UpperCamelCase			,    env=os.environ.copy()						)