






# This script creates a super tiny model that is useful inside tests, when we just want to test that
# the machinery works, without needing to the check the quality of the outcomes.
#
# This version creates a tiny model through reduction of a normal pre-trained model, but keeping the
# full vocab, merges file, and thus also resulting in a larger model due to a large vocab size.
# This gives ~3MB in total for all files.
#
# If you want a 50 times smaller than this see `fsmt-make-super-tiny-model.py`, which is slightly more complicated
#
#
# It will be used then as "stas/tiny-wmt19-en-de"

# Build
from transformers import FSMTTokenizer, FSMTConfig, FSMTForConditionalGeneration

lowercase  :							Union[str, Any]			  =    '''facebook/wmt19-en-de'''
lowercase  :							Union[str, Any]			  =    FSMTTokenizer.from_pretrained(mname)
# get the correct vocab sizes, etc. from the master model
lowercase  :							Tuple			  =    FSMTConfig.from_pretrained(mname)
config.update(
    dict(
        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,
    )
)

lowercase  :							Union[str, Any]			  =    FSMTForConditionalGeneration(config)
print(F"""num of params {tiny_model.num_parameters()}""")

# Test
lowercase  :							Optional[Any]			  =    tokenizer(['''Making tiny model'''], return_tensors='''pt''')
lowercase  :							int			  =    tiny_model(**batch)

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

# Save
lowercase  :							str			  =    '''tiny-wmt19-en-de'''
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-de








def      lowerCAmelCase__	(    _a       :			int    ):
		snake_case_				:							str						 =       1
		for i in range(1  ,      num + 1    ):
				fact *= i
		return fact

def      lowerCAmelCase__	(    _a       :			int    ):
		snake_case_				:							List[str]						 =       0
		while number > 0:
				snake_case_				:							Dict						 =       number % 10
				sum_of_digits += last_digit
				snake_case_				:							List[Any]						 =       number // 10  # Removing the last_digit from the given number
		return sum_of_digits

def      lowerCAmelCase__	(    _a       :			int = 1_00    ):
		snake_case_				:							Optional[Any]						 =       factorial(_a    )
		snake_case_				:							Optional[int]						 =       split_and_add(_a    )
		return result


if __name__ == "__main__":
							print(solution(int(input('''Enter the Number: ''').strip())))
