




import argparse
from collections import defaultdict

import yaml


_lowerCAmelCase						:   List[str]		=   "docs/source/en/_toctree.yml"



def 						lowerCAmelCase		(		_lowerCAmelCase							:   int	):




 """simple docstring"""







 UpperCAmelCase__							 =						defaultdict(_lowerCAmelCase	)
 UpperCAmelCase__							 =						[]
 UpperCAmelCase__							 =						[]
 for doc in doc_list:
  if "local" in doc:
   counts[doc["local"]] += 1

  if doc["title"].lower() == "overview":
   overview_doc.append({"local": doc["local"], "title": doc["title"]}	)
  else:
   new_doc_list.append(_lowerCAmelCase	)

 UpperCAmelCase__							 =						new_doc_list
 UpperCAmelCase__							 =						[key for key, value in counts.items() if value > 1]

 UpperCAmelCase__							 =						[]
 for duplicate_key in duplicates:
  UpperCAmelCase__							 =						list({doc["title"] for doc in doc_list if doc["local"] == duplicate_key}	)
  if len(_lowerCAmelCase	) > 1:
   raise ValueError(
       F'''{duplicate_key} is present several times in the documentation table of content at '''
       "`docs/source/en/_toctree.yml` with different *Title* values. Choose one of those and remove the "
       "others."	)
  # Only add this once
  new_doc.append({"local": duplicate_key, "title": titles[0]}	)

 # Add none duplicate-keys
 new_doc.extend([doc for doc in doc_list if "local" not in counts or counts[doc["local"]] == 1]	)
 UpperCAmelCase__							 =						sorted(_lowerCAmelCase						,							key=lambda _lowerCAmelCase	: s["title"].lower()	)

 # "overview" gets special treatment and is always first
 if len(_lowerCAmelCase	) > 1:
  raise ValueError("{doc_list} has two 'overview' docs which is not allowed."	)

 overview_doc.extend(_lowerCAmelCase	)

 # Sort
 return overview_doc



def 						lowerCAmelCase		(		_lowerCAmelCase							:   Union[str, Any]=False	):




 """simple docstring"""







 with open(_lowerCAmelCase						,							encoding="utf-8"	) as f:
  UpperCAmelCase__							 =						yaml.safe_load(f.read()	)

 # Get to the API doc
 UpperCAmelCase__							 =						0
 while content[api_idx]["title"] != "API":
  api_idx += 1
 UpperCAmelCase__							 =						content[api_idx]["sections"]

 # Then to the model doc
 UpperCAmelCase__							 =						0
 while api_doc[scheduler_idx]["title"] != "Schedulers":
  scheduler_idx += 1

 UpperCAmelCase__							 =						api_doc[scheduler_idx]["sections"]
 UpperCAmelCase__							 =						clean_doc_toc(_lowerCAmelCase	)

 UpperCAmelCase__							 =						False
 if new_scheduler_doc != scheduler_doc:
  UpperCAmelCase__							 =						True
  if overwrite:
   UpperCAmelCase__							 =						new_scheduler_doc

 if diff:
  if overwrite:
   UpperCAmelCase__							 =						api_doc
   with open(_lowerCAmelCase						,							"w"						,							encoding="utf-8"	) as f:
    f.write(yaml.dump(_lowerCAmelCase						,							allow_unicode=_lowerCAmelCase	)	)
  else:
   raise ValueError(
       "The model doc part of the table of content is not properly sorted, run `make style` to fix this."	)



def 						lowerCAmelCase		(		_lowerCAmelCase							:   Tuple=False	):




 """simple docstring"""







 with open(_lowerCAmelCase						,							encoding="utf-8"	) as f:
  UpperCAmelCase__							 =						yaml.safe_load(f.read()	)

 # Get to the API doc
 UpperCAmelCase__							 =						0
 while content[api_idx]["title"] != "API":
  api_idx += 1
 UpperCAmelCase__							 =						content[api_idx]["sections"]

 # Then to the model doc
 UpperCAmelCase__							 =						0
 while api_doc[pipeline_idx]["title"] != "Pipelines":
  pipeline_idx += 1

 UpperCAmelCase__							 =						False
 UpperCAmelCase__							 =						api_doc[pipeline_idx]["sections"]
 UpperCAmelCase__							 =						[]

 # sort sub pipeline docs
 for pipeline_doc in pipeline_docs:
  if "section" in pipeline_doc:
   UpperCAmelCase__							 =						pipeline_doc["section"]
   UpperCAmelCase__							 =						clean_doc_toc(_lowerCAmelCase	)
   if overwrite:
    UpperCAmelCase__							 =						new_sub_pipeline_doc
  new_pipeline_docs.append(_lowerCAmelCase	)

 # sort overall pipeline doc
 UpperCAmelCase__							 =						clean_doc_toc(_lowerCAmelCase	)

 if new_pipeline_docs != pipeline_docs:
  UpperCAmelCase__							 =						True
  if overwrite:
   UpperCAmelCase__							 =						new_pipeline_docs

 if diff:
  if overwrite:
   UpperCAmelCase__							 =						api_doc
   with open(_lowerCAmelCase						,							"w"						,							encoding="utf-8"	) as f:
    f.write(yaml.dump(_lowerCAmelCase						,							allow_unicode=_lowerCAmelCase	)	)
  else:
   raise ValueError(
       "The model doc part of the table of content is not properly sorted, run `make style` to fix this."	)


if __name__ == "__main__":
  _lowerCAmelCase						:   List[Any]		=   argparse.ArgumentParser()
  parser.add_argument("--fix_and_overwrite", action="store_true", help="Whether to fix inconsistencies.")
  _lowerCAmelCase						:   List[Any]		=   parser.parse_args()

  check_scheduler_doc(args.fix_and_overwrite)
  check_pipeline_doc(args.fix_and_overwrite)











import torch

from transformers import AutoModel
class 			_UpperCamelCase      (				torch.nn.Module		):
      def __init__(			self   :str ,      lowerCamelCase   :Tuple="sayef/fsner-bert-base-uncased"      )     ->			int:
       super(lowerCamelCase ,      self      ).__init__()

       UpperCAmelCase__							 =						AutoModel.from_pretrained(lowerCamelCase ,      return_dict=lowerCamelCase      )
       UpperCAmelCase__							 =						torch.nn.CosineSimilarity(3 ,      1e-08      )
       UpperCAmelCase__							 =						torch.nn.Softmax(dim=1      )
      def 	UpperCAmelCase_						(			self   :Union[str, Any] ,      **lowerCamelCase   :Tuple      )     ->			Dict:
       return self.bert(**lowerCamelCase      ).last_hidden_state
      def 	UpperCAmelCase_						(			self   :Any ,      lowerCamelCase   :Union[str, Any]      )     ->			Union[str, Any]:
       return token_embeddings.sum(2 ,      keepdim=lowerCamelCase      )
      def 	UpperCAmelCase_						(			self   :Dict ,      lowerCamelCase   :List[Any] ,      lowerCamelCase   :int ,      lowerCamelCase   :Union[str, Any]=1      )     ->			Dict:
       return self.softmax(T * self.cos(lowerCamelCase ,      lowerCamelCase      )      )







      def 	UpperCAmelCase_						(			self   :Union[str, Any] ,      lowerCamelCase   :Any ,      lowerCamelCase   :Any      )     ->			Union[str, Any]:
       UpperCAmelCase__							 =						W_supports["sizes"].tolist()
       UpperCAmelCase__							 =						W_supports["start_token_id"].item()
       UpperCAmelCase__							 =						W_supports["end_token_id"].item()

       del W_supports["sizes"]
       del W_supports["start_token_id"]
       del W_supports["end_token_id"]

       UpperCAmelCase__							 =						self.BERT(**lowerCamelCase      )
       UpperCAmelCase__							 =						self.BERT(**lowerCamelCase      )

       UpperCAmelCase__							 =						None
       UpperCAmelCase__							 =						None

       UpperCAmelCase__							 =						W_supports["input_ids"] == start_token_id
       UpperCAmelCase__							 =						W_supports["input_ids"] == end_token_id

       for i, size in enumerate(lowerCamelCase      ):
        if i == 0:
         UpperCAmelCase__							 =						0
        else:
         UpperCAmelCase__							 =						support_sizes[i - 1]

        UpperCAmelCase__							 =						S[s : s + size][start_token_masks[s : s + size]]
        UpperCAmelCase__							 =						S[s : s + size][end_token_masks[s : s + size]]

        UpperCAmelCase__							 =						torch.matmul(q[i] ,      s_start.T      ).sum(1      ).softmax(0      )
        UpperCAmelCase__							 =						torch.matmul(q[i] ,      s_end.T      ).sum(1      ).softmax(0      )

        if p_starts is not None:
         UpperCAmelCase__							 =						torch.vstack((p_starts, p_start)      )
         UpperCAmelCase__							 =						torch.vstack((p_ends, p_end)      )
        else:
         UpperCAmelCase__							 =						p_start
         UpperCAmelCase__							 =						p_end

       return p_starts, p_ends





