


import logging
import random

import ray

from transformers import RagConfig, RagRetriever, RagTokenizer
from transformers.models.rag.retrieval_rag import CustomHFIndex


_SCREAMING_SNAKE_CASE :					Optional[Any]			=	logging.getLogger(__name__)

class  UpperCamelCase__ :






      def __init__(     self					:   Dict   )  -> Optional[int]:
           UpperCamelCase__							:  str								=     False






      def 	__lowercase(     self					:   Optional[int],		__lowerCamelCase					:   Any,		__lowerCamelCase					:   Dict,		__lowerCamelCase					:   List[str],		__lowerCamelCase					:   str   )  -> Dict:
           if not self.initialized:
                UpperCamelCase__							:  Tuple								=     RagRetriever(
                    __lowerCamelCase,		question_encoder_tokenizer=__lowerCamelCase,		generator_tokenizer=__lowerCamelCase,		index=__lowerCamelCase,		init_retrieval=__lowerCamelCase,		)
                UpperCamelCase__							:  Union[str, Any]								=     True






      def 	__lowercase(     self					:   Optional[int]   )  -> Optional[int]:
           self.retriever.index.init_index()






      def 	__lowercase(     self					:   int   )  -> Any:
           # delete the old self.retriever object before assigning the new index
           del self.retriever
           UpperCamelCase__							:  str								=     False






      def 	__lowercase(     self					:   Dict,		__lowerCamelCase					:   Dict,		__lowerCamelCase					:   str   )  -> int:
           UpperCamelCase__	,UpperCamelCase__							:  Dict								=     self.retriever._main_retrieve(__lowerCamelCase,		__lowerCamelCase   )
           UpperCamelCase__							:  List[Any]								=     self.retriever.index.get_doc_dicts(__lowerCamelCase   )
           return doc_ids, retrieved_doc_embeds, doc_dicts

class  UpperCamelCase__ ( __lowerCamelCase			):






      def __init__(     self					:   Any,		__lowerCamelCase					:   Optional[Any],		__lowerCamelCase					:   Tuple,		__lowerCamelCase					:   str,		__lowerCamelCase					:   Union[str, Any],		__lowerCamelCase					:   Tuple=None   )  -> Tuple:
           if index is not None and index.is_initialized() and len(__lowerCamelCase   ) > 0:
                raise ValueError(
                    '''When using Ray for distributed fine-tuning, '''
                    '''you\'ll need to provide the paths instead, '''
                    '''as the dataset and the index are loaded '''
                    '''separately. More info in examples/rag/use_own_knowledge_dataset.py '''   )

           super().__init__(
               __lowerCamelCase,		question_encoder_tokenizer=__lowerCamelCase,		generator_tokenizer=__lowerCamelCase,		index=__lowerCamelCase,		init_retrieval=__lowerCamelCase,		)

           UpperCamelCase__							:  Dict								=     retrieval_workers
           UpperCamelCase__							:  Dict								=     question_encoder_tokenizer
           UpperCamelCase__							:  Any								=     generator_tokenizer
           if len(self.retrieval_workers   ) > 0:
                ray.get(
                    [
                        worker.create_rag_retriever.remote(__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase   )
                        for worker in self.retrieval_workers
                    ]   )






      def 	__lowercase(     self					:   Any   )  -> str:
           logger.info('''initializing retrieval'''   )

           if len(self.retrieval_workers   ) > 0:
                ray.get([worker.init_retrieval.remote() for worker in self.retrieval_workers]   )
           else:
                # Non-distributed training. Load index into this same process.
                self.index.init_index()






      def 	__lowercase(     self					:   Union[str, Any],		__lowerCamelCase					:   Dict,		__lowerCamelCase					:   List[Any]   )  -> List[Any]:
           if len(self.retrieval_workers   ) > 0:
                # Select a random retrieval actor.
                UpperCamelCase__							:  Optional[int]								=     self.retrieval_workers[random.randint(0,		len(self.retrieval_workers   ) - 1   )]
                UpperCamelCase__	,UpperCamelCase__	,UpperCamelCase__							:  List[Any]								=     ray.get(
                    random_worker.retrieve.remote(__lowerCamelCase,		__lowerCamelCase   )   )
           else:
                UpperCamelCase__	,UpperCamelCase__							:  Any								=     self._main_retrieve(__lowerCamelCase,		__lowerCamelCase   )
                UpperCamelCase__							:  List[Any]								=     self.index.get_doc_dicts(__lowerCamelCase   )
           return retrieved_doc_embeds, doc_ids, doc_dicts






      @classmethod
      def 	__lowercase(     cls					:   List[str],		__lowerCamelCase					:   Optional[Any],		__lowerCamelCase					:   Union[str, Any]=None,		**__lowerCamelCase					:   Union[str, Any]   )  -> Tuple:
           return super(__lowerCamelCase,		cls   ).get_tokenizers(__lowerCamelCase,		__lowerCamelCase,		**__lowerCamelCase   )






      @classmethod
      def 	__lowercase(     cls					:   List[Any],		__lowerCamelCase					:   Optional[int],		__lowerCamelCase					:   int,		__lowerCamelCase					:   List[Any]=None,		**__lowerCamelCase					:   Optional[Any]   )  -> Any:
           UpperCamelCase__							:  Any								=     kwargs.pop('''config''',		__lowerCamelCase   ) or RagConfig.from_pretrained(__lowerCamelCase,		**__lowerCamelCase   )
           UpperCamelCase__							:  Dict								=     RagTokenizer.from_pretrained(__lowerCamelCase,		config=__lowerCamelCase   )
           UpperCamelCase__							:  str								=     rag_tokenizer.question_encoder
           UpperCamelCase__							:  Any								=     rag_tokenizer.generator

           if indexed_dataset is not None:
                UpperCamelCase__							:  Any								=     '''custom'''
                UpperCamelCase__							:  str								=     CustomHFIndex(config.retrieval_vector_size,		__lowerCamelCase   )
           else:
                UpperCamelCase__							:  int								=     cls._build_index(__lowerCamelCase   )

           return cls(
               __lowerCamelCase,		question_encoder_tokenizer=__lowerCamelCase,		generator_tokenizer=__lowerCamelCase,		retrieval_workers=__lowerCamelCase,		index=__lowerCamelCase,		)






      def 	__lowercase(     self					:   List[Any]   )  -> str:
           logger.info('''re-loading the new dataset with embeddings'''   )
           # access from the training loop

           ray.get([worker.clear_object.remote() for worker in self.retrieval_workers]   )

           # build the index object again
           UpperCamelCase__							:  int								=     self._build_index(self.config   )

           ray.get(
               [
                   worker.create_rag_retriever.remote(
                       self.config,		self.question_encoder_tokenizer,		self.generator_tokenizer,		__lowerCamelCase   )
                   for worker in self.retrieval_workers
               ]   )








from __future__ import annotations

from math import pi, pow







def 						_lowercase       (     __lowerCamelCase			:					int | float			)  ->   float:





     '''simple docstring'''





     if side_length < 0:
          raise ValueError('''vol_cube() only accepts non-negative values'''			)
     return pow(__lowerCamelCase		,3			)







def 						_lowercase       (     __lowerCamelCase			:					float		,__lowerCamelCase			:					float			)  ->   float:





     '''simple docstring'''





     if height < 0 or radius < 0:
          raise ValueError('''vol_spherical_cap() only accepts non-negative values'''			)
     # Volume is 1/3 pi * height squared * (3 * radius - height)
     return 1 / 3 * pi * pow(__lowerCamelCase		,2			) * (3 * radius - height)







def 						_lowercase       (     __lowerCamelCase			:					float		,__lowerCamelCase			:					float		,__lowerCamelCase			:					float			)  ->   float:





     '''simple docstring'''





     if radius_a < 0 or radius_a < 0 or centers_distance < 0:
          raise ValueError('''vol_spheres_intersect() only accepts non-negative values'''			)
     if centers_distance == 0:
          return vol_sphere(min(__lowerCamelCase		,__lowerCamelCase			)			)

     UpperCamelCase__							:  Dict								=     (
         (radius_a - radius_a + centers_distance)
         * (radius_a + radius_a - centers_distance)
         / (2 * centers_distance)
     )
     UpperCamelCase__							:  Tuple								=     (
         (radius_a - radius_a + centers_distance)
         * (radius_a + radius_a - centers_distance)
         / (2 * centers_distance)
     )

     return vol_spherical_cap(__lowerCamelCase		,__lowerCamelCase			) + vol_spherical_cap(__lowerCamelCase		,__lowerCamelCase			)







def 						_lowercase       (     __lowerCamelCase			:					float		,__lowerCamelCase			:					float		,__lowerCamelCase			:					float			)  ->   float:





     '''simple docstring'''





     if radius_a <= 0 or radius_a <= 0 or centers_distance < 0:
          raise ValueError(
              '''vol_spheres_union() only accepts non-negative values, non-zero radius'''			)

     if centers_distance == 0:
          return vol_sphere(max(__lowerCamelCase		,__lowerCamelCase			)			)

     return (
         vol_sphere(__lowerCamelCase			)
         + vol_sphere(__lowerCamelCase			)
         - vol_spheres_intersect(__lowerCamelCase		,__lowerCamelCase		,__lowerCamelCase			)
     )







def 						_lowercase       (     __lowerCamelCase			:					float		,__lowerCamelCase			:					float		,__lowerCamelCase			:					float			)  ->   float:





     '''simple docstring'''





     if width < 0 or height < 0 or length < 0:
          raise ValueError('''vol_cuboid() only accepts non-negative values'''			)
     return float(width * height * length			)







def 						_lowercase       (     __lowerCamelCase			:					float		,__lowerCamelCase			:					float			)  ->   float:





     '''simple docstring'''





     if height < 0 or area_of_base < 0:
          raise ValueError('''vol_cone() only accepts non-negative values'''			)
     return area_of_base * height / 3.0







def 						_lowercase       (     __lowerCamelCase			:					float		,__lowerCamelCase			:					float			)  ->   float:





     '''simple docstring'''





     if height < 0 or radius < 0:
          raise ValueError('''vol_right_circ_cone() only accepts non-negative values'''			)
     return pi * pow(__lowerCamelCase		,2			) * height / 3.0







def 						_lowercase       (     __lowerCamelCase			:					float		,__lowerCamelCase			:					float			)  ->   float:





     '''simple docstring'''





     if height < 0 or area_of_base < 0:
          raise ValueError('''vol_prism() only accepts non-negative values'''			)
     return float(area_of_base * height			)







def 						_lowercase       (     __lowerCamelCase			:					float		,__lowerCamelCase			:					float			)  ->   float:





     '''simple docstring'''





     if height < 0 or area_of_base < 0:
          raise ValueError('''vol_pyramid() only accepts non-negative values'''			)
     return area_of_base * height / 3.0







def 						_lowercase       (     __lowerCamelCase			:					float			)  ->   float:





     '''simple docstring'''





     if radius < 0:
          raise ValueError('''vol_sphere() only accepts non-negative values'''			)
     # Volume is 4/3 * pi * radius cubed
     return 4 / 3 * pi * pow(__lowerCamelCase		,3			)







def 						_lowercase       (     __lowerCamelCase			:					float			)  ->   float:





     '''simple docstring'''





     if radius < 0:
          raise ValueError('''vol_hemisphere() only accepts non-negative values'''			)
     # Volume is radius cubed * pi * 2/3
     return pow(__lowerCamelCase		,3			) * pi * 2 / 3







def 						_lowercase       (     __lowerCamelCase			:					float		,__lowerCamelCase			:					float			)  ->   float:





     '''simple docstring'''





     if height < 0 or radius < 0:
          raise ValueError('''vol_circular_cylinder() only accepts non-negative values'''			)
     # Volume is radius squared * height * pi
     return pow(__lowerCamelCase		,2			) * height * pi







def 						_lowercase       (     __lowerCamelCase			:					float		,__lowerCamelCase			:					float		,__lowerCamelCase			:					float			)  ->   float:





     '''simple docstring'''





     if inner_radius < 0 or outer_radius < 0 or height < 0:
          raise ValueError(
              '''vol_hollow_circular_cylinder() only accepts non-negative values'''			)
     if outer_radius <= inner_radius:
          raise ValueError('''outer_radius must be greater than inner_radius'''			)
     return pi * (pow(__lowerCamelCase		,2			) - pow(__lowerCamelCase		,2			)) * height







def 						_lowercase       (     __lowerCamelCase			:					float		,__lowerCamelCase			:					float		,__lowerCamelCase			:					float			)  ->   float:





     '''simple docstring'''





     if radius_a < 0 or radius_a < 0 or height < 0:
          raise ValueError('''vol_conical_frustum() only accepts non-negative values'''			)
     return (
         1
         / 3
         * pi
         * height
         * (pow(__lowerCamelCase		,2			) + pow(__lowerCamelCase		,2			) + radius_a * radius_a)
     )







def 						_lowercase       (     __lowerCamelCase			:					float		,__lowerCamelCase			:					float			)  ->   float:





     '''simple docstring'''





     if torus_radius < 0 or tube_radius < 0:
          raise ValueError('''vol_torus() only accepts non-negative values'''			)
     return 2 * pow(__lowerCamelCase		,2			) * torus_radius * pow(__lowerCamelCase		,2			)







def 						_lowercase       (     )  ->   Tuple:





     '''simple docstring'''





     print('''Volumes:'''			)
     print(F'Cube: {vol_cube(2			) = }'			)  # = 8
     print(F'Cuboid: {vol_cuboid(2		,2		,2			) = }'			)  # = 8
     print(F'Cone: {vol_cone(2		,2			) = }'			)  # ~= 1.33
     print(F'Right Circular Cone: {vol_right_circ_cone(2		,2			) = }'			)  # ~= 8.38
     print(F'Prism: {vol_prism(2		,2			) = }'			)  # = 4
     print(F'Pyramid: {vol_pyramid(2		,2			) = }'			)  # ~= 1.33
     print(F'Sphere: {vol_sphere(2			) = }'			)  # ~= 33.5
     print(F'Hemisphere: {vol_hemisphere(2			) = }'			)  # ~= 16.75
     print(F'Circular Cylinder: {vol_circular_cylinder(2		,2			) = }'			)  # ~= 25.1
     print(F'Torus: {vol_torus(2		,2			) = }'			)  # ~= 157.9
     print(F'Conical Frustum: {vol_conical_frustum(2		,2		,4			) = }'			)  # ~= 58.6
     print(F'Spherical cap: {vol_spherical_cap(1		,2			) = }'			)  # ~= 5.24
     print(F'Spheres intersetion: {vol_spheres_intersect(2		,2		,1			) = }'			)  # ~= 21.21
     print(F'Spheres union: {vol_spheres_union(2		,2		,1			) = }'			)  # ~= 45.81
     print(
         F'Hollow Circular Cylinder: {vol_hollow_circular_cylinder(1		,2		,3			) = }'			)  # ~= 28.3


if __name__ == "__main__":
   main()




