# 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 vocab first, and then a tiny model - so the outcome is truly tiny -
# all files ~60KB. As compared to taking a full-size model, reducing to the minimum its layers and
# emb dimensions, but keeping the full vocab + merges files, leading to ~3MB in total for all files.
# The latter is done by `fsmt-make-super-tiny-model.py`.
#
# It will be used then as "stas/tiny-wmt19-en-ru"

from pathlib import Path
import json
import tempfile

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

_lowercase:	Optional[Any]       			=		'''tiny-wmt19-en-ru'''

# Build

# borrowed from a test
_lowercase:	Dict       			=		[
    '''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>''',
]
_lowercase:	List[str]       			=		dict(zip(vocab, range(len(vocab))))
_lowercase:	Any       			=		['''l o 123''', '''lo w 1456''', '''e r</w> 1789''', '''''']

with tempfile.TemporaryDirectory() as tmpdirname:
				_lowercase:	int       			=		Path(tmpdirname)
				_lowercase:	Union[str, Any]       			=		build_dir / VOCAB_FILES_NAMES['''src_vocab_file''']
				_lowercase:	Dict       			=		build_dir / VOCAB_FILES_NAMES['''tgt_vocab_file''']
				_lowercase:	List[Any]       			=		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))

				_lowercase:	Optional[Any]       			=		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,
				)

_lowercase:	Union[str, Any]       			=		FSMTConfig(
    langs=['''ru''', '''en'''],
    src_vocab_size=1_0_0_0,
    tgt_vocab_size=1_0_0_0,
    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:	Tuple       			=		FSMTForConditionalGeneration(config)
print(f"""num of params {tiny_model.num_parameters()}""")

# Test
_lowercase:	Optional[Any]       			=		tokenizer(['''Making tiny model'''], return_tensors='''pt''')
_lowercase:	Optional[int]       			=		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








class        _SCREAMING_SNAKE_CASE	:



	def __init__(       self		,    lowercase		,    lowercase=None		,    lowercase=None					)							->			List[Any]:
					lowerCamelCase_         =     data
					lowerCamelCase_         =     previous
					lowerCamelCase_         =     next_node



	def __str__(       self					)							->			str:
					return f'{self.data}'



	def        SCREAMING_SNAKE_CASE_(       self					)							->			int:
					return self.data



	def        SCREAMING_SNAKE_CASE_(       self					)							->			Union[str, Any]:
					return self.next



	def        SCREAMING_SNAKE_CASE_(       self					)							->			int:
					return self.previous




class        _SCREAMING_SNAKE_CASE	:



	def __init__(       self		,    lowercase					)							->			Optional[int]:
					lowerCamelCase_         =     head



	def __iter__(       self					)							->			int:
					return self



	def        SCREAMING_SNAKE_CASE_(       self					)							->			Optional[Any]:
					if not self.current:
									raise StopIteration
					else:
									lowerCamelCase_         =     self.current.get_data()
									lowerCamelCase_         =     self.current.get_next()
									return value




class        _SCREAMING_SNAKE_CASE	:



	def __init__(       self					)							->			Union[str, Any]:
					lowerCamelCase_         =     None  # First node in list
					lowerCamelCase_         =     None  # Last node in list



	def __str__(       self					)							->			Optional[Any]:
					lowerCamelCase_         =     self.head
					lowerCamelCase_         =     []
					while current is not None:
									nodes.append(current.get_data()					)
									lowerCamelCase_         =     current.get_next()
					return " ".join(str(lowercase					) for node in nodes					)



	def __contains__(       self		,    lowercase					)							->			Optional[int]:
					lowerCamelCase_         =     self.head
					while current:
									if current.get_data() == value:
													return True
									lowerCamelCase_         =     current.get_next()
					return False



	def __iter__(       self					)							->			List[str]:
					return LinkedListIterator(self.head					)



	def        SCREAMING_SNAKE_CASE_(       self					)							->			List[str]:
					if self.head:
									return self.head.get_data()
					return None



	def        SCREAMING_SNAKE_CASE_(       self					)							->			Any:
					if self.tail:
									return self.tail.get_data()
					return None



	def        SCREAMING_SNAKE_CASE_(       self		,    lowercase					)							->			None:
					if self.head is None:
									lowerCamelCase_         =     node
									lowerCamelCase_         =     node
					else:
									self.insert_before_node(self.head		,    lowercase					)



	def        SCREAMING_SNAKE_CASE_(       self		,    lowercase					)							->			None:
					if self.head is None:
									self.set_head(lowercase					)
					else:
									self.insert_after_node(self.tail		,    lowercase					)



	def        SCREAMING_SNAKE_CASE_(       self		,    lowercase					)							->			None:
					lowerCamelCase_         =     Node(lowercase					)
					if self.head is None:
									self.set_head(lowercase					)
					else:
									self.set_tail(lowercase					)



	def        SCREAMING_SNAKE_CASE_(       self		,    lowercase		,    lowercase					)							->			None:
					lowerCamelCase_         =     node
					lowerCamelCase_         =     node.previous

					if node.get_previous() is None:
									lowerCamelCase_         =     node_to_insert
					else:
									lowerCamelCase_         =     node_to_insert

					lowerCamelCase_         =     node_to_insert



	def        SCREAMING_SNAKE_CASE_(       self		,    lowercase		,    lowercase					)							->			None:
					lowerCamelCase_         =     node
					lowerCamelCase_         =     node.next

					if node.get_next() is None:
									lowerCamelCase_         =     node_to_insert
					else:
									lowerCamelCase_         =     node_to_insert

					lowerCamelCase_         =     node_to_insert



	def        SCREAMING_SNAKE_CASE_(       self		,    lowercase		,    lowercase					)							->			None:
					lowerCamelCase_         =     1
					lowerCamelCase_         =     Node(lowercase					)
					lowerCamelCase_         =     self.head
					while node:
									if current_position == position:
													self.insert_before_node(lowercase		,    lowercase					)
													return
									current_position += 1
									lowerCamelCase_         =     node.next
					self.insert_after_node(self.tail		,    lowercase					)



	def        SCREAMING_SNAKE_CASE_(       self		,    lowercase					)							->			Node:
					lowerCamelCase_         =     self.head
					while node:
									if node.get_data() == item:
													return node
									lowerCamelCase_         =     node.get_next()
					raise Exception("Node not found"					)



	def        SCREAMING_SNAKE_CASE_(       self		,    lowercase					)							->			Union[str, Any]:
					if (node := self.get_node(lowercase					)) is not None:
									if node == self.head:
													lowerCamelCase_         =     self.head.get_next()

									if node == self.tail:
													lowerCamelCase_         =     self.tail.get_previous()

									self.remove_node_pointers(lowercase					)



	@staticmethod
	def        SCREAMING_SNAKE_CASE_(       lowercase					)							->			None:
					if node.get_next():
									lowerCamelCase_         =     node.previous

					if node.get_previous():
									lowerCamelCase_         =     node.next

					lowerCamelCase_         =     None
					lowerCamelCase_         =     None



	def        SCREAMING_SNAKE_CASE_(       self					)							->			int:
					return self.head is None





def      lowerCamelCase_					(							):
				pass


if __name__ == "__main__":
			import doctest

			doctest.testmod()


