




'''simple docstring'''





import argparse
from collections import defaultdict

import yaml


UpperCamelCase_						:      Optional[Any]       =						'''docs/source/en/_toctree.yml'''





def      __a     (       _UpperCamelCase:   Dict   )						->			Optional[int]:

     """simple docstring"""




     _snake_case							=				defaultdict(_UpperCamelCase   )
     _snake_case							=				[]
     _snake_case							=				[]
     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(_UpperCamelCase   )

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

     _snake_case							=				[]
     for duplicate_key in duplicates:
          _snake_case							=				list({doc["title"] for doc in doc_list if doc["local"] == duplicate_key}   )
          if len(_UpperCamelCase   ) > 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]   )
     _snake_case							=				sorted(_UpperCamelCase ,						key=lambda _UpperCamelCase   : s["title"].lower()   )

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

     overview_doc.extend(_UpperCamelCase   )

     # Sort
     return overview_doc





def      __a     (       _UpperCamelCase:   Tuple=False   )						->			int:

     """simple docstring"""




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

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

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

     _snake_case							=				api_doc[scheduler_idx]["sections"]
     _snake_case							=				clean_doc_toc(_UpperCamelCase   )

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

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





def      __a     (       _UpperCamelCase:   List[Any]=False   )						->			Any:

     """simple docstring"""




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

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

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

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

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

     # sort overall pipeline doc
     _snake_case							=				clean_doc_toc(_UpperCamelCase   )

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

     if diff:
          if overwrite:
               _snake_case							=				api_doc
               with open(_UpperCamelCase ,						"w" ,						encoding="utf-8"   ) as f:
                    f.write(yaml.dump(_UpperCamelCase ,						allow_unicode=_UpperCamelCase   )   )
          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__":
   UpperCamelCase_						:      Optional[Any]       =						argparse.ArgumentParser()
   parser.add_argument('''--fix_and_overwrite''', action='''store_true''', help='''Whether to fix inconsistencies.''')
   UpperCamelCase_						:      Optional[Any]       =						parser.parse_args()

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








'''simple docstring'''





def      __a     (       _UpperCamelCase:   int   )						->			None:

     """simple docstring"""




     _snake_case							=				generate_pascal_triangle(_UpperCamelCase   )
     for row_idx in range(_UpperCamelCase   ):
          # Print left spaces
          for _ in range(num_rows - row_idx - 1   ):
               print(end=" "   )
          # Print row values
          for col_idx in range(row_idx + 1   ):
               if col_idx != row_idx:
                    print(triangle[row_idx][col_idx] ,						end=" "   )
               else:
                    print(triangle[row_idx][col_idx] ,						end=""   )
          print()





def      __a     (       _UpperCamelCase:   int   )						->			list[list[int]]:

     """simple docstring"""




     if not isinstance(_UpperCamelCase ,						_UpperCamelCase   ):
          raise TypeError("The input value of 'num_rows' should be 'int'"   )

     if num_rows == 0:
          return []
     elif num_rows < 0:
          raise ValueError(
              "The input value of 'num_rows' should be greater than or equal to 0"   )

     _snake_case							=				[]
     for current_row_idx in range(_UpperCamelCase   ):
          _snake_case							=				populate_current_row(_UpperCamelCase ,						_UpperCamelCase   )
          triangle.append(_UpperCamelCase   )
     return triangle





def      __a     (       _UpperCamelCase:   list[list[int]] ,						_UpperCamelCase:   int   )						->			list[int]:

     """simple docstring"""




     _snake_case							=				[-1] * (current_row_idx + 1)
     # first and last elements of current row are equal to 1
     _snake_case							, _snake_case							=				1, 1
     for current_col_idx in range(1 ,						_UpperCamelCase   ):
          calculate_current_element(
              _UpperCamelCase ,						_UpperCamelCase ,						_UpperCamelCase ,						_UpperCamelCase   )
     return current_row





def      __a     (       _UpperCamelCase:   list[list[int]] ,						_UpperCamelCase:   list[int] ,						_UpperCamelCase:   int ,						_UpperCamelCase:   int ,						)						->			None:

     """simple docstring"""




     _snake_case							=				triangle[current_row_idx - 1][current_col_idx - 1]
     _snake_case							=				triangle[current_row_idx - 1][current_col_idx]
     _snake_case							=				above_to_left_elt + above_to_right_elt





def      __a     (       _UpperCamelCase:   int   )						->			list[list[int]]:

     """simple docstring"""




     if not isinstance(_UpperCamelCase ,						_UpperCamelCase   ):
          raise TypeError("The input value of 'num_rows' should be 'int'"   )

     if num_rows == 0:
          return []
     elif num_rows < 0:
          raise ValueError(
              "The input value of 'num_rows' should be greater than or equal to 0"   )

     _snake_case							=				[[1]]

     for row_index in range(1 ,						_UpperCamelCase   ):
          _snake_case							=				[0] + result[-1] + [0]
          _snake_case							=				row_index + 1
          # Calculate the number of distinct elements in a row
          _snake_case							=				sum(divmod(_UpperCamelCase ,						2   )   )
          _snake_case							=				[
              temp_row[i - 1] + temp_row[i] for i in range(1 ,						distinct_elements + 1   )
          ]
          _snake_case							=				row_first_half[: (row_index + 1) // 2]
          row_second_half.reverse()
          _snake_case							=				row_first_half + row_second_half
          result.append(_UpperCamelCase   )

     return result





def      __a     (       )						->			None:

     """simple docstring"""




     from collections.abc import Callable
     from timeit import timeit

     def benchmark_a_function(_UpperCamelCase:   Callable ,						_UpperCamelCase:   int   ) -> None:
          _snake_case							=				F"""{func.__name__}({value})"""
          _snake_case							=				timeit(F"""__main__.{call}""" ,						setup="import __main__"   )
          # print(f"{call:38} = {func(value)} -- {timing:.4f} seconds")
          print(F"""{call:38} -- {timing:.4f} seconds"""   )

     for value in range(15   ):  # (1, 7, 14):
          for func in (generate_pascal_triangle, generate_pascal_triangle_optimized):
               benchmark_a_function(_UpperCamelCase ,						_UpperCamelCase   )
          print()


if __name__ == "__main__":
   import doctest

   doctest.testmod()
   benchmark()


