"""simple docstring"""







from pathlib import Path
import json
import tempfile

from transformers import FSMTTokenizer, FSMTConfig, FSMTForConditionalGeneration
from transformers.models.fsmt.tokenization_fsmt import VOCAB_FILES_NAMES

__SCREAMING_SNAKE_CASE								="tiny-wmt19-en-ru"

# Build

# borrowed from a test
__SCREAMING_SNAKE_CASE								=[
    "l",
    "o",
    "w",
    "e",
    "r",
    "s",
    "t",
    "i",
    "d",
    "n",
    "w</w>",
    "r</w>",
    "t</w>",
    "lo",
    "low",
    "er</w>",
    "low</w>",
    "lowest</w>",
    "newer</w>",
    "wider</w>",
    "<unk>",
]
__SCREAMING_SNAKE_CASE								=dict(zip(vocab, range(len(vocab))))
__SCREAMING_SNAKE_CASE								=["l o 123", "lo w 1456", "e r</w> 1789", ""]

with tempfile.TemporaryDirectory() as tmpdirname:
      __SCREAMING_SNAKE_CASE								=Path(tmpdirname)
      __SCREAMING_SNAKE_CASE								=build_dir / VOCAB_FILES_NAMES["src_vocab_file"]
      __SCREAMING_SNAKE_CASE								=build_dir / VOCAB_FILES_NAMES["tgt_vocab_file"]
      __SCREAMING_SNAKE_CASE								=build_dir / VOCAB_FILES_NAMES["merges_file"]
      with open(src_vocab_file, "w") as fp:
            fp.write(json.dumps(vocab_tokens))
      with open(tgt_vocab_file, "w") as fp:
            fp.write(json.dumps(vocab_tokens))
      with open(merges_file, "w") as fp:
            fp.write("\n".join(merges))

      __SCREAMING_SNAKE_CASE								=FSMTTokenizer(
          langs=["en", "ru"],
          src_vocab_size=len(vocab),
          tgt_vocab_size=len(vocab),
          src_vocab_file=src_vocab_file,
          tgt_vocab_file=tgt_vocab_file,
          merges_file=merges_file,
      )

__SCREAMING_SNAKE_CASE								=FSMTConfig(
    langs=["ru", "en"],
    src_vocab_size=1000,
    tgt_vocab_size=1000,
    d_model=4,
    encoder_layers=1,
    decoder_layers=1,
    encoder_ffn_dim=4,
    decoder_ffn_dim=4,
    encoder_attention_heads=1,
    decoder_attention_heads=1,
)

__SCREAMING_SNAKE_CASE								=FSMTForConditionalGeneration(config)
print(F"num of params {tiny_model.num_parameters()}")

# Test
__SCREAMING_SNAKE_CASE								=tokenizer(["Making tiny model"], return_tensors="pt")
__SCREAMING_SNAKE_CASE								=tiny_model(**batch)

print("test output:", len(outputs.logits[0]))

# Save
tiny_model.half()  # makes it smaller
tiny_model.save_pretrained(mname_tiny)
tokenizer.save_pretrained(mname_tiny)

print(F"Generated {mname_tiny}")

# Upload
# transformers-cli upload tiny-wmt19-en-ru


"""simple docstring"""







import os
import random
import sys

from . import cryptomath_module as cryptoMath  # noqa: N812
from . import rabin_miller as rabinMiller  # noqa: N812



def     lowercase__( ):
     print('Making key files...'   )
     make_key_files('rsa'  ,    10_24   )
     print('Key files generation successful.'   )



def     lowercase__( __SCREAMING_SNAKE_CASE							:  int   ):
     print('Generating prime p...'   )
     lowercase_			:       List[str]									=			rabinMiller.generate_large_prime(__SCREAMING_SNAKE_CASE   )
     print('Generating prime q...'   )
     lowercase_			:       int									=			rabinMiller.generate_large_prime(__SCREAMING_SNAKE_CASE   )
     lowercase_			:       Union[str, Any]									=			p * q

     print('Generating e that is relatively prime to (p - 1) * (q - 1)...'   )
     while True:
          lowercase_			:       str									=			random.randrange(2 ** (key_size - 1)  ,    2 ** (key_size)   )
          if cryptoMath.gcd(__SCREAMING_SNAKE_CASE  ,    (p - 1) * (q - 1)   ) == 1:
               break

     print('Calculating d that is mod inverse of e...'   )
     lowercase_			:       List[str]									=			cryptoMath.find_mod_inverse(__SCREAMING_SNAKE_CASE  ,    (p - 1) * (q - 1)   )

     lowercase_			:       Any									=			(n, e)
     lowercase_			:       int									=			(n, d)
     return (public_key, private_key)



def     lowercase__( __SCREAMING_SNAKE_CASE							:  str  ,    __SCREAMING_SNAKE_CASE							:  int   ):
     if os.path.exists(F'''{name}_pubkey.txt'''   ) or os.path.exists(F'''{name}_privkey.txt'''   ):
          print('\nWARNING:'   )
          print(
              F'''"{name}_pubkey.txt" or "{name}_privkey.txt" already exists. \n'''
              'Use a different name or delete these files and re-run this program.'   )
          sys.exit()

     lowercase_							,						lowercase_			:       int									=			generate_key(__SCREAMING_SNAKE_CASE   )
     print(F'''\nWriting public key to file {name}_pubkey.txt...'''   )
     with open(F'''{name}_pubkey.txt'''  ,    'w'   ) as out_file:
          out_file.write(F'''{key_size},{public_key[0]},{public_key[1]}'''   )

     print(F'''Writing private key to file {name}_privkey.txt...'''   )
     with open(F'''{name}_privkey.txt'''  ,    'w'   ) as out_file:
          out_file.write(F'''{key_size},{private_key[0]},{private_key[1]}'''   )


if __name__ == "__main__":
       main()

