




# Usage:
# ./gen-card-facebook-wmt19.py

import os
from pathlib import Path




def 		SCREAMING_SNAKE_CASE__   (       lowercase		,lowercase		,lowercase	)    ->  Tuple:
   snake_case :							Optional[int]           =			{
       'en': 'Machine learning is great, isn\'t it?',
       'ru': 'Машинное обучение - это здорово, не так ли?',
       'de': 'Maschinelles Lernen ist großartig, oder?',
   }

   # BLUE scores as follows:
   # "pair": [fairseq, transformers]
   snake_case :							Union[str, Any]           =			{
       'ru-en': ['[41.3](http://matrix.statmt.org/matrix/output/1907?run_id=6937)', '39.20'],
       'en-ru': ['[36.4](http://matrix.statmt.org/matrix/output/1914?run_id=6724)', '33.47'],
       'en-de': ['[43.1](http://matrix.statmt.org/matrix/output/1909?run_id=6862)', '42.83'],
       'de-en': ['[42.3](http://matrix.statmt.org/matrix/output/1902?run_id=6750)', '41.35'],
   }
   snake_case :							Optional[Any]           =			f"""{src_lang}-{tgt_lang}"""

   snake_case :							str           =			f"""\n---\nlanguage: \n- {src_lang}\n- {tgt_lang}\nthumbnail:\ntags:\n- translation\n- wmt19\n- facebook\nlicense: apache-2.0\ndatasets:\n- wmt19\nmetrics:\n- bleu\n---\n\n# FSMT\n\n## Model description\n\nThis is a ported version of [fairseq wmt19 transformer](https://github.com/pytorch/fairseq/blob/master/examples/wmt19/README.md) for {src_lang}-{tgt_lang}.\n\nFor more details, please see, [Facebook FAIR's WMT19 News Translation Task Submission](https://arxiv.org/abs/1907.06616).\n\nThe abbreviation FSMT stands for FairSeqMachineTranslation\n\nAll four models are available:\n\n* [wmt19-en-ru](https://huggingface.co/facebook/wmt19-en-ru)\n* [wmt19-ru-en](https://huggingface.co/facebook/wmt19-ru-en)\n* [wmt19-en-de](https://huggingface.co/facebook/wmt19-en-de)\n* [wmt19-de-en](https://huggingface.co/facebook/wmt19-de-en)\n\n## Intended uses & limitations\n\n#### How to use\n\n```python\nfrom transformers import FSMTForConditionalGeneration, FSMTTokenizer\nmname = \"facebook/wmt19-{src_lang}-{tgt_lang}\"\ntokenizer = FSMTTokenizer.from_pretrained(mname)\nmodel = FSMTForConditionalGeneration.from_pretrained(mname)\n\ninput = \"{texts[src_lang]}\"\ninput_ids = tokenizer.encode(input, return_tensors=\"pt\")\noutputs = model.generate(input_ids)\ndecoded = tokenizer.decode(outputs[0], skip_special_tokens=True)\nprint(decoded) # {texts[tgt_lang]}\n\n```\n\n#### Limitations and bias\n\n- The original (and this ported model) doesn't seem to handle well inputs with repeated sub-phrases, [content gets truncated](https://discuss.huggingface.co/t/issues-with-translating-inputs-containing-repeated-phrases/981)\n\n## Training data\n\nPretrained weights were left identical to the original model released by fairseq. For more details, please, see the [paper](https://arxiv.org/abs/1907.06616).\n\n## Eval results\n\npair   | fairseq | transformers\n-------|---------|----------\n{pair}  | {scores[pair][0]} | {scores[pair][1]}\n\nThe score is slightly below the score reported by `fairseq`, since `transformers`` currently doesn't support:\n- model ensemble, therefore the best performing checkpoint was ported (``model4.pt``).\n- re-ranking\n\nThe score was calculated using this code:\n\n```bash\ngit clone https://github.com/huggingface/transformers\ncd transformers\nexport PAIR={pair}\nexport DATA_DIR=data/$PAIR\nexport SAVE_DIR=data/$PAIR\nexport BS=8\nexport NUM_BEAMS=15\nmkdir -p $DATA_DIR\nsacrebleu -t wmt19 -l $PAIR --echo src > $DATA_DIR/val.source\nsacrebleu -t wmt19 -l $PAIR --echo ref > $DATA_DIR/val.target\necho $PAIR\nPYTHONPATH=\"src:examples/seq2seq\" python examples/seq2seq/run_eval.py facebook/wmt19-$PAIR $DATA_DIR/val.source $SAVE_DIR/test_translations.txt --reference_path $DATA_DIR/val.target --score_path $SAVE_DIR/test_bleu.json --bs $BS --task translation --num_beams $NUM_BEAMS\n```\nnote: fairseq reports using a beam of 50, so you should get a slightly higher score if re-run with `--num_beams 50`.\n\n## Data Sources\n\n- [training, etc.](http://www.statmt.org/wmt19/)\n- [test set](http://matrix.statmt.org/test_sets/newstest2019.tgz?1556572561)\n\n\n### BibTeX entry and citation info\n\n```bibtex\n@inproceedings{{...,\n  year={{2020}},\n  title={{Facebook FAIR's WMT19 News Translation Task Submission}},\n  author={{Ng, Nathan and Yee, Kyra and Baevski, Alexei and Ott, Myle and Auli, Michael and Edunov, Sergey}},\n  booktitle={{Proc. of WMT}},\n}}\n```\n\n\n## TODO\n\n- port model ensemble (fairseq uses 4 model checkpoints)\n\n"""
   os.makedirs(lowerCAmelCase__		,exist_ok=lowerCAmelCase__	)
   snake_case :							Optional[Any]           =			os.path.join(lowerCAmelCase__		,"""README.md"""	)
   print(f"""Generating {path}"""	)
   with open(lowerCAmelCase__		,"""w"""		,encoding="""utf-8"""	) as f:
      f.write(lowerCAmelCase__	)


# make sure we are under the root of the project
lowerCamelCase			:			int								=       Path(__file__).resolve().parent.parent.parent
lowerCamelCase			:			int								=       repo_dir / """model_cards"""

for model_name in ["wmt19-ru-en", "wmt19-en-ru", "wmt19-en-de", "wmt19-de-en"]:
       lowerCamelCase			:			Tuple								=       model_name.split('-')
       lowerCamelCase			:			List[str]								=       model_cards_dir / """facebook""" / model_name
       write_model_card(model_card_dir, src_lang=src_lang, tgt_lang=tgt_lang)












import argparse
import os
import re


_lowercase		:  List[str]			       ="""src/diffusers"""

# Pattern that looks at the indentation in a line.
_lowercase		:  str			       =re.compile(r"""^(\s*)\S""")
# Pattern that matches `"key":" and puts `key` in group 0.
_lowercase		:  Dict			       =re.compile(r"""^\s*\"([^\"]+)\":""")
# Pattern that matches `_import_structure["key"]` and puts `key` in group 0.
_lowercase		:  Union[str, Any]			       =re.compile(r"""^\s*_import_structure\[\"([^\"]+)\"\]""")
# Pattern that matches `"key",` and puts `key` in group 0.
_lowercase		:  Dict			       =re.compile(r"""^\s*\"([^\"]+)\",\s*$""")
# Pattern that matches any `[stuff]` and puts `stuff` in group 0.
_lowercase		:  Tuple			       =re.compile(r"""\[([^\]]+)\]""")


def 		_SCREAMING_SNAKE_CASE     ( lowerCAmelCase__						):
		lowerCamelCase_	:     int 						=      _re_indent.search(lowerCAmelCase__						)
		return "" if search is None else search.groups()[0]


def 		_SCREAMING_SNAKE_CASE     ( lowerCAmelCase__							,lowerCAmelCase__=""							,lowerCAmelCase__=None							,lowerCAmelCase__=None						):
		lowerCamelCase_	:     Optional[Any] 						=      0
		lowerCamelCase_	:     Union[str, Any] 						=      code.split('\n'						)
		if start_prompt is not None:
				while not lines[index].startswith(lowerCAmelCase__						):
						index += 1
				lowerCamelCase_	:     Any 						=      ['\n'.join(lines[:index]						)]
		else:
				lowerCamelCase_	:     str 						=      []

		# We split into blocks until we get to the `end_prompt` (or the end of the block).
		lowerCamelCase_	:     List[str] 						=      [lines[index]]
		index += 1
		while index < len(lowerCAmelCase__						) and (end_prompt is None or not lines[index].startswith(lowerCAmelCase__						)):
				if len(lines[index]						) > 0 and get_indent(lines[index]						) == indent_level:
						if len(lowerCAmelCase__						) > 0 and get_indent(current_block[-1]						).startswith(indent_level + ' '						):
								current_block.append(lines[index]						)
								blocks.append('\n'.join(lowerCAmelCase__						)						)
								if index < len(lowerCAmelCase__						) - 1:
										lowerCamelCase_	:     int 						=      [lines[index + 1]]
										index += 1
								else:
										lowerCamelCase_	:     List[str] 						=      []
						else:
								blocks.append('\n'.join(lowerCAmelCase__						)						)
								lowerCamelCase_	:     str 						=      [lines[index]]
				else:
						current_block.append(lines[index]						)
				index += 1

		# Adds current block if it's nonempty.
		if len(lowerCAmelCase__						) > 0:
				blocks.append('\n'.join(lowerCAmelCase__						)						)

		# Add final block after end_prompt if provided.
		if end_prompt is not None and index < len(lowerCAmelCase__						):
				blocks.append('\n'.join(lines[index:]						)						)

		return blocks


def 		_SCREAMING_SNAKE_CASE     ( lowerCAmelCase__						):

		def _inner(lowerCAmelCase__						):
				return key(lowerCAmelCase__						).lower().replace('_'							,''						)

		return _inner


def 		_SCREAMING_SNAKE_CASE     ( lowerCAmelCase__							,lowerCAmelCase__=None						):

		# If no key is provided, we use a noop.
		def noop(lowerCAmelCase__						):
				return x

		if key is None:
				lowerCamelCase_	:     int 						=      noop
		# Constants are all uppercase, they go first.
		lowerCamelCase_	:     Any 						=      [obj for obj in objects if key(lowerCAmelCase__						).isupper()]
		# Classes are not all uppercase but start with a capital, they go second.
		lowerCamelCase_	:     Dict 						=      [obj for obj in objects if key(lowerCAmelCase__						)[0].isupper() and not key(lowerCAmelCase__						).isupper()]
		# Functions begin with a lowercase, they go last.
		lowerCamelCase_	:     Any 						=      [obj for obj in objects if not key(lowerCAmelCase__						)[0].isupper()]

		lowerCamelCase_	:     Optional[Any] 						=      ignore_underscore(lowerCAmelCase__						)
		return sorted(lowerCAmelCase__							,key=lowerCAmelCase__						) + sorted(lowerCAmelCase__							,key=lowerCAmelCase__						) + sorted(lowerCAmelCase__							,key=lowerCAmelCase__						)


def 		_SCREAMING_SNAKE_CASE     ( lowerCAmelCase__						):

		# This inner function sort imports between [ ].
		def _replace(lowerCAmelCase__						):
				lowerCamelCase_	:     Dict 						=      match.groups()[0]
				if "," not in imports:
						return F"[{imports}]"
				lowerCamelCase_	:     Optional[int] 						=      [part.strip().replace('"'							,''						) for part in imports.split(','						)]
				# We will have a final empty element if the line finished with a comma.
				if len(keys[-1]						) == 0:
						lowerCamelCase_	:     str 						=      keys[:-1]
				return "[" + ", ".join([F"\"{k}\"" for k in sort_objects(lowerCAmelCase__						)]						) + "]"

		lowerCamelCase_	:     Tuple 						=      import_statement.split('\n'						)
		if len(lowerCAmelCase__						) > 3:
				# Here we have to sort internal imports that are on several lines (one per name):
				# key: [
				#     "object1",
				#     "object2",
				#     ...
				# ]

				# We may have to ignore one or two lines on each side.
				lowerCamelCase_	:     int 						=      2 if lines[1].strip() == '[' else 1
				lowerCamelCase_	:     Any 						=      [(i, _re_strip_line.search(lowerCAmelCase__						).groups()[0]) for i, line in enumerate(lines[idx:-idx]						)]
				lowerCamelCase_	:     str 						=      sort_objects(lowerCAmelCase__							,key=lambda lowerCAmelCase__						: x[1]						)
				lowerCamelCase_	:     Any 						=      [lines[x[0] + idx] for x in sorted_indices]
				return "\n".join(lines[:idx] + sorted_lines + lines[-idx:]						)
		elif len(lowerCAmelCase__						) == 3:
				# Here we have to sort internal imports that are on one separate line:
				# key: [
				#     "object1", "object2", ...
				# ]
				if _re_bracket_content.search(lines[1]						) is not None:
						lowerCamelCase_	:     Optional[int] 						=      _re_bracket_content.sub(_replace							,lines[1]						)
				else:
						lowerCamelCase_	:     Any 						=      [part.strip().replace('"'							,''						) for part in lines[1].split(','						)]
						# We will have a final empty element if the line finished with a comma.
						if len(keys[-1]						) == 0:
								lowerCamelCase_	:     List[Any] 						=      keys[:-1]
						lowerCamelCase_	:     Optional[Any] 						=      get_indent(lines[1]						) + ', '.join([F"\"{k}\"" for k in sort_objects(lowerCAmelCase__						)]						)
				return "\n".join(lowerCAmelCase__						)
		else:
				# Finally we have to deal with imports fitting on one line
				lowerCamelCase_	:     Any 						=      _re_bracket_content.sub(_replace							,lowerCAmelCase__						)
				return import_statement


def 		_SCREAMING_SNAKE_CASE     ( lowerCAmelCase__							,lowerCAmelCase__=True						):
		with open(lowerCAmelCase__							,'r'						) as f:
				lowerCamelCase_	:     Any 						=      f.read()

		if "_import_structure" not in code:
				return

		# Blocks of indent level 0
		lowerCamelCase_	:     int 						=      split_code_in_indented_blocks(
		    lowerCAmelCase__							,start_prompt='_import_structure = {'							,end_prompt='if TYPE_CHECKING:'						)

		# We ignore block 0 (everything until start_prompt) and the last block (everything after end_prompt).
		for block_idx in range(1							,len(lowerCAmelCase__						) - 1						):
				# Check if the block contains some `_import_structure`s thingy to sort.
				lowerCamelCase_	:     Any 						=      main_blocks[block_idx]
				lowerCamelCase_	:     Tuple 						=      block.split('\n'						)

				# Get to the start of the imports.
				lowerCamelCase_	:     Optional[int] 						=      0
				while line_idx < len(lowerCAmelCase__						) and "_import_structure" not in block_lines[line_idx]:
						# Skip dummy import blocks
						if "import dummy" in block_lines[line_idx]:
								lowerCamelCase_	:     List[Any] 						=      len(lowerCAmelCase__						)
						else:
								line_idx += 1
				if line_idx >= len(lowerCAmelCase__						):
						continue

				# Ignore beginning and last line: they don't contain anything.
				lowerCamelCase_	:     Tuple 						=      '\n'.join(block_lines[line_idx:-1]						)
				lowerCamelCase_	:     Dict 						=      get_indent(block_lines[1]						)
				# Slit the internal block into blocks of indent level 1.
				lowerCamelCase_	:     Dict 						=      split_code_in_indented_blocks(lowerCAmelCase__							,indent_level=lowerCAmelCase__						)
				# We have two categories of import key: list or _import_structure[key].append/extend
				lowerCamelCase_	:     List[str] 						=      _re_direct_key if '_import_structure' in block_lines[0] else _re_indirect_key
				# Grab the keys, but there is a trap: some lines are empty or just comments.
				lowerCamelCase_	:     Tuple 						=      [(pattern.search(lowerCAmelCase__						).groups()[0] if pattern.search(lowerCAmelCase__						) is not None else None) for b in internal_blocks]
				# We only sort the lines with a key.
				lowerCamelCase_	:     Any 						=      [(i, key) for i, key in enumerate(lowerCAmelCase__						) if key is not None]
				lowerCamelCase_	:     Optional[Any] 						=      [x[0] for x in sorted(lowerCAmelCase__							,key=lambda lowerCAmelCase__						: x[1]						)]

				# We reorder the blocks by leaving empty lines/comments as they were and reorder the rest.
				lowerCamelCase_	:     int 						=      0
				lowerCamelCase_	:     Dict 						=      []
				for i in range(len(lowerCAmelCase__						)						):
						if keys[i] is None:
								reordered_blocks.append(internal_blocks[i]						)
						else:
								lowerCamelCase_	:     Tuple 						=      sort_objects_in_import(internal_blocks[sorted_indices[count]]						)
								reordered_blocks.append(lowerCAmelCase__						)
								count += 1

        # And we put our main block back together with its first and last line.
				lowerCamelCase_	:     Tuple 						=      '\n'.join(block_lines[:line_idx] + reordered_blocks + [block_lines[-1]]						)

		if code != "\n".join(lowerCAmelCase__						):
				if check_only:
						return True
				else:
						print(F"Overwriting {file}."						)
						with open(lowerCAmelCase__							,'w'						) as f:
								f.write('\n'.join(lowerCAmelCase__						)						)


def 		_SCREAMING_SNAKE_CASE     ( lowerCAmelCase__=True						):
		lowerCamelCase_	:     Dict 						=      []
		for root, _, files in os.walk(lowerCAmelCase__						):
				if "__init__.py" in files:
						lowerCamelCase_	:     Optional[int] 						=      sort_imports(os.path.join(lowerCAmelCase__							,'__init__.py'						)							,check_only=lowerCAmelCase__						)
						if result:
								lowerCamelCase_	:     Dict 						=      [os.path.join(lowerCAmelCase__							,'__init__.py'						)]
		if len(lowerCAmelCase__						) > 0:
				raise ValueError(F"Would overwrite {len(lowerCAmelCase__						)} files, run `make style`."						)


if __name__ == "__main__":
		_lowercase		:  int			       =argparse.ArgumentParser()
		parser.add_argument("""--check_only""", action="""store_true""", help="""Whether to only check or fix style.""")
		_lowercase		:  Union[str, Any]			       =parser.parse_args()

		sort_imports_in_all_inits(check_only=args.check_only)
