
"""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
from collections.abc import Iterator




def     lowercase__						(					lowerCAmelCase				:					str = "." ) ->      Iterator[str]:






    """simple docstring"""




    for dir_path, dir_names, filenames in os.walk(lowerCAmelCase ):
        UpperCAmelCase									=					[d for d in dir_names if d != 'scripts' and d[0] not in '._']
        for filename in filenames:
            if filename == "__init__.py":
                continue
            if os.path.splitext(lowerCAmelCase )[1] in (".py", ".ipynb"):
                yield os.path.join(lowerCAmelCase ,				lowerCAmelCase ).lstrip('./' )




def     lowercase__						(					lowerCAmelCase				:					Union[str, Any] ) ->      Any:






    """simple docstring"""




    return F"{i * '  '}*" if i else "\n##"




def     lowercase__						(					lowerCAmelCase				:					str ,				lowerCAmelCase				:					str ) ->      str:






    """simple docstring"""




    UpperCAmelCase									=					old_path.split(os.sep )
    for i, new_part in enumerate(new_path.split(os.sep ) ):
        if (i + 1 > len(lowerCAmelCase ) or old_parts[i] != new_part) and new_part:
            print(F"{md_prefix(lowerCAmelCase )} {new_part.replace('_' ,				' ' ).title()}" )
    return new_path




def     lowercase__						(					lowerCAmelCase				:					str = "." ) ->      None:






    """simple docstring"""




    UpperCAmelCase									=					''
    for filepath in sorted(good_file_paths(lowerCAmelCase ) ):
        UpperCAmelCase			,							UpperCAmelCase									=					os.path.split(lowerCAmelCase )
        if filepath != old_path:
            UpperCAmelCase									=					print_path(lowerCAmelCase ,				lowerCAmelCase )
        UpperCAmelCase									=					(filepath.count(os.sep ) + 1) if filepath else 0
        UpperCAmelCase									=					F"{filepath}/{filename}".replace(' ' ,				'%20' )
        UpperCAmelCase									=					os.path.splitext(filename.replace('_' ,				' ' ).title() )[0]
        print(F"{md_prefix(lowerCAmelCase )} [{filename}]({url})" )


if __name__ == "__main__":
   print_directory_md('''.''')



