






"""simple docstring"""



import argparse
import json
import os

import fairseq
import torch
from fairseq.data import Dictionary

# Register SEW's fairseq modules
from sew_asapp import tasks  # noqa: F401

from transformers import (
    SEWDConfig,
    SEWDForCTC,
    SEWDModel,
    WavaVecaCTCTokenizer,
    WavaVecaFeatureExtractor,
    WavaVecaProcessor,
    logging,
)


logging.set_verbosity_info()
a  :						Any					       =							logging.get_logger(__name__)

a  :						List[Any]					       =							{
    '''post_extract_proj''': '''feature_projection''',
    '''encoder.pos_conv.0''': '''encoder.pos_conv_embed.conv''',
    '''attention.self.query_proj''': '''encoder.encoder.layer.*.attention.self.query_proj''',
    '''attention.self.key_proj''': '''encoder.encoder.layer.*.attention.self.key_proj''',
    '''attention.self.value_proj''': '''encoder.encoder.layer.*.attention.self.value_proj''',
    '''attention.output.dense''': '''encoder.encoder.layer.*.attention.output.dense''',
    '''attention.output.LayerNorm''': '''encoder.encoder.layer.*.attention.output.LayerNorm''',
    '''intermediate.dense''': '''encoder.encoder.layer.*.intermediate.dense''',
    '''output.dense''': '''encoder.encoder.layer.*.output.dense''',
    '''output.LayerNorm''': '''encoder.encoder.layer.*.output.LayerNorm''',
    '''encoder.encoder.rel_embeddings''': '''encoder.encoder.rel_embeddings''',
    '''encoder.encoder.LayerNorm''': '''encoder.encoder.LayerNorm''',
    '''encoder.upsample.0''': '''encoder.upsample.projection''',
    '''encoder.layer_norm''': '''encoder.layer_norm''',
    '''w2v_model.layer_norm''': '''layer_norm''',
    '''w2v_encoder.proj''': '''lm_head''',
    '''mask_emb''': '''masked_spec_embed''',
}




def       snake_case__		(   _SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE			)    ->Optional[Any]:
 for attribute in key.split("""."""			):
  UpperCAmelCase__ 						=				getattr(_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE			)

 if weight_type is not None:
  UpperCAmelCase__ 						=				getattr(_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE			).shape
 else:
  UpperCAmelCase__ 						=				hf_pointer.shape

 assert hf_shape == value.shape, (
     F'''Shape of hf {key + '.' + weight_type if weight_type is not None else ''} is {hf_shape}, but should be'''
     F''' {value.shape} for {full_name}'''
 )

 if weight_type == "weight":
  UpperCAmelCase__ 						=				value
 elif weight_type == "weight_g":
  UpperCAmelCase__ 						=				value
 elif weight_type == "weight_v":
  UpperCAmelCase__ 						=				value
 elif weight_type == "bias":
  UpperCAmelCase__ 						=				value
 else:
  UpperCAmelCase__ 						=				value

 logger.info(F'''{key + '.' + weight_type if weight_type is not None else ''} was initialized from {full_name}.'''			)




def       snake_case__		(   _SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE			)    ->Any:
 UpperCAmelCase__ 						=				[]
 UpperCAmelCase__ 						=				fairseq_model.state_dict()

 UpperCAmelCase__ 						=				hf_model.sew_d.feature_extractor if is_finetuned else hf_model.feature_extractor

 for name, value in fairseq_dict.items():
  UpperCAmelCase__ 						=				False
  if "conv_layers" in name:
   load_conv_layer(
       _SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE       ,	hf_model.config.feat_extract_norm == """group"""       ,	)
   UpperCAmelCase__ 						=				True
  else:
   for key, mapped_key in MAPPING.items():
    UpperCAmelCase__ 						=				"""sew_d.""" + mapped_key if (is_finetuned and mapped_key != """lm_head""") else mapped_key

    if key in name or key.split("""w2v_model."""			)[-1] == name.split("""."""			)[0]:
     UpperCAmelCase__ 						=				True
     if "*" in mapped_key:
      UpperCAmelCase__ 						=				name.split(_SCREAMING_SNAKE_CASE			)[0].split("""."""			)[-2]
      if not layer_index.isnumeric():
       continue
      UpperCAmelCase__ 						=				mapped_key.replace("""*"""       ,	_SCREAMING_SNAKE_CASE			)
     if "weight_g" in name:
      UpperCAmelCase__ 						=				"""weight_g"""
     elif "weight_v" in name:
      UpperCAmelCase__ 						=				"""weight_v"""
     elif "weight" in name:
      UpperCAmelCase__ 						=				"""weight"""
     elif "bias" in name:
      UpperCAmelCase__ 						=				"""bias"""
     else:
      UpperCAmelCase__ 						=				None
     set_recursively(_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE			)
    continue
  if not is_used:
   unused_weights.append(_SCREAMING_SNAKE_CASE			)

 logger.warning(F'''Unused weights: {unused_weights}'''			)




def       snake_case__		(   _SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE			)    ->Optional[int]:
 UpperCAmelCase__ 						=				full_name.split("""conv_layers."""			)[-1]
 UpperCAmelCase__ 						=				name.split("""."""			)
 UpperCAmelCase__ 						=				int(items[0]			)
 UpperCAmelCase__ 						=				int(items[1]			)

 if type_id == 0:
  if "bias" in name:
   assert value.shape == feature_extractor.conv_layers[layer_id].conv.bias.data.shape, (
       F'''{full_name} has size {value.shape}, but'''
       F''' {feature_extractor.conv_layers[layer_id].conv.bias.data.shape} was found.'''
   )
   UpperCAmelCase__ 						=				value
   logger.info(F'''Feat extract conv layer {layer_id} was initialized from {full_name}.'''			)
  elif "weight" in name:
   assert value.shape == feature_extractor.conv_layers[layer_id].conv.weight.data.shape, (
       F'''{full_name} has size {value.shape}, but'''
       F''' {feature_extractor.conv_layers[layer_id].conv.weight.data.shape} was found.'''
   )
   UpperCAmelCase__ 						=				value
   logger.info(F'''Feat extract conv layer {layer_id} was initialized from {full_name}.'''			)
 elif (type_id == 2 and not use_group_norm) or (type_id == 2 and layer_id == 0 and use_group_norm):
  if "bias" in name:
   assert value.shape == feature_extractor.conv_layers[layer_id].layer_norm.bias.data.shape, (
       F'''{full_name} has size {value.shape}, but {feature_extractor[layer_id].layer_norm.bias.data.shape} was'''
       " found."
   )
   UpperCAmelCase__ 						=				value
   logger.info(F'''Feat extract layer norm weight of layer {layer_id} was initialized from {full_name}.'''			)
  elif "weight" in name:
   assert value.shape == feature_extractor.conv_layers[layer_id].layer_norm.weight.data.shape, (
       F'''{full_name} has size {value.shape}, but'''
       F''' {feature_extractor[layer_id].layer_norm.weight.data.shape} was found.'''
   )
   UpperCAmelCase__ 						=				value
   logger.info(F'''Feat extract layer norm weight of layer {layer_id} was initialized from {full_name}.'''			)
 else:
  unused_weights.append(_SCREAMING_SNAKE_CASE			)




def       snake_case__		(   _SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE			)    ->Optional[Any]:
 UpperCAmelCase__ 						=				SEWDConfig()
 if is_finetuned:
  UpperCAmelCase__ 						=				model.wav_encoder.wav_model.cfg
 else:
  UpperCAmelCase__ 						=				model.cfg

 UpperCAmelCase__ 						=				fs_config.conv_bias
 UpperCAmelCase__ 						=				eval(fs_config.conv_feature_layers			)
 UpperCAmelCase__ 						=				[x[0] for x in conv_layers]
 UpperCAmelCase__ 						=				[x[1] for x in conv_layers]
 UpperCAmelCase__ 						=				[x[2] for x in conv_layers]
 UpperCAmelCase__ 						=				"""gelu"""
 UpperCAmelCase__ 						=				"""layer""" if fs_config.extractor_mode == """layer_norm""" else """group"""
 UpperCAmelCase__ 						=				0.0
 UpperCAmelCase__ 						=				fs_config.activation_fn.name
 UpperCAmelCase__ 						=				fs_config.encoder_embed_dim
 UpperCAmelCase__ 						=				0.02
 UpperCAmelCase__ 						=				fs_config.encoder_ffn_embed_dim
 UpperCAmelCase__ 						=				1E-5
 UpperCAmelCase__ 						=				fs_config.encoder_layerdrop
 UpperCAmelCase__ 						=				fs_config.encoder_attention_heads
 UpperCAmelCase__ 						=				fs_config.conv_pos_groups
 UpperCAmelCase__ 						=				fs_config.conv_pos
 UpperCAmelCase__ 						=				len(_SCREAMING_SNAKE_CASE			)
 UpperCAmelCase__ 						=				fs_config.encoder_layers
 UpperCAmelCase__ 						=				fs_config.squeeze_factor
 # DeBERTa-specific parameters:
 UpperCAmelCase__ 						=				fs_config.max_position_embeddings
 UpperCAmelCase__ 						=				fs_config.position_buckets
 UpperCAmelCase__ 						=				fs_config.share_att_key
 UpperCAmelCase__ 						=				fs_config.relative_attention
 UpperCAmelCase__ 						=				fs_config.position_biased_input
 UpperCAmelCase__ 						=				tuple(fs_config.pos_att_type.split("""|"""			)			)
 UpperCAmelCase__ 						=				fs_config.norm_rel_ebd

 # take care of any params that are overridden by the Wav2VecCtc model
 if is_finetuned:
  UpperCAmelCase__ 						=				model.cfg
  UpperCAmelCase__ 						=				fs_config.final_dropout
  UpperCAmelCase__ 						=				fs_config.layerdrop
 UpperCAmelCase__ 						=				fs_config.activation_dropout
 UpperCAmelCase__ 						=				fs_config.mask_prob > 0 or fs_config.mask_channel_prob > 0
 UpperCAmelCase__ 						=				fs_config.attention_dropout
 UpperCAmelCase__ 						=				fs_config.dropout_input
 UpperCAmelCase__ 						=				fs_config.dropout
 UpperCAmelCase__ 						=				fs_config.mask_channel_length
 UpperCAmelCase__ 						=				fs_config.mask_channel_prob
 UpperCAmelCase__ 						=				fs_config.mask_length
 UpperCAmelCase__ 						=				fs_config.mask_prob

 UpperCAmelCase__ 						=				"""Wav2Vec2FeatureExtractor"""
 UpperCAmelCase__ 						=				"""Wav2Vec2CTCTokenizer"""

 return config




@torch.no_grad()
def       snake_case__		(   _SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE=None       ,	_SCREAMING_SNAKE_CASE=None       ,	_SCREAMING_SNAKE_CASE=True			)    ->Any:

 if is_finetuned:
  UpperCAmelCase__						,	UpperCAmelCase__						,	UpperCAmelCase__ 						=				fairseq.checkpoint_utils.load_model_ensemble_and_task(
      [checkpoint_path]       ,	arg_overrides={"""data""": """/""".join(dict_path.split("""/"""			)[:-1]			)}			)
 else:
  UpperCAmelCase__						,	UpperCAmelCase__						,	UpperCAmelCase__ 						=				fairseq.checkpoint_utils.load_model_ensemble_and_task([checkpoint_path]			)

 if config_path is not None:
  UpperCAmelCase__ 						=				SEWDConfig.from_pretrained(_SCREAMING_SNAKE_CASE			)
 else:
  UpperCAmelCase__ 						=				convert_config(model[0]       ,	_SCREAMING_SNAKE_CASE			)
 UpperCAmelCase__ 						=				model[0].eval()

 UpperCAmelCase__ 						=				True if config.feat_extract_norm == """layer""" else False
 UpperCAmelCase__ 						=				WavaVecaFeatureExtractor(
     feature_size=1       ,	sampling_rate=1_6_0_0_0       ,	padding_value=0       ,	do_normalize=_SCREAMING_SNAKE_CASE       ,	return_attention_mask=_SCREAMING_SNAKE_CASE       ,	)

 if is_finetuned:
  if dict_path:
   UpperCAmelCase__ 						=				Dictionary.load(_SCREAMING_SNAKE_CASE			)

   # important change bos & pad token id since CTC symbol is <pad> and
   # not <s> as in fairseq
   UpperCAmelCase__ 						=				target_dict.pad_index
   UpperCAmelCase__ 						=				target_dict.bos_index
   UpperCAmelCase__ 						=				target_dict.pad_index
   UpperCAmelCase__ 						=				target_dict.bos_index
   UpperCAmelCase__ 						=				target_dict.eos_index
   UpperCAmelCase__ 						=				len(target_dict.symbols			)
   UpperCAmelCase__ 						=				os.path.join(_SCREAMING_SNAKE_CASE       ,	"""vocab.json"""			)
   if not os.path.isdir(_SCREAMING_SNAKE_CASE			):
    logger.error("""--pytorch_dump_folder_path ({}) should be a directory""".format(_SCREAMING_SNAKE_CASE			)			)
    return
   os.makedirs(_SCREAMING_SNAKE_CASE       ,	exist_ok=_SCREAMING_SNAKE_CASE			)
   with open(_SCREAMING_SNAKE_CASE       ,	"""w"""       ,	encoding="""utf-8"""			) as vocab_handle:
    json.dump(target_dict.indices       ,	_SCREAMING_SNAKE_CASE			)
   UpperCAmelCase__ 						=				WavaVecaCTCTokenizer(
       _SCREAMING_SNAKE_CASE       ,	unk_token=target_dict.unk_word       ,	pad_token=target_dict.pad_word       ,	bos_token=target_dict.bos_word       ,	eos_token=target_dict.eos_word       ,	word_delimiter_token="""|"""       ,	do_lower_case=_SCREAMING_SNAKE_CASE       ,	)
   UpperCAmelCase__ 						=				WavaVecaProcessor(feature_extractor=_SCREAMING_SNAKE_CASE       ,	tokenizer=_SCREAMING_SNAKE_CASE			)
   processor.save_pretrained(_SCREAMING_SNAKE_CASE			)

  UpperCAmelCase__ 						=				SEWDForCTC(_SCREAMING_SNAKE_CASE			)
 else:
  UpperCAmelCase__ 						=				SEWDModel(_SCREAMING_SNAKE_CASE			)
  feature_extractor.save_pretrained(_SCREAMING_SNAKE_CASE			)

 recursively_load_weights(_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE			)

 hf_model.save_pretrained(_SCREAMING_SNAKE_CASE			)


if __name__ == "__main__":
 a  :						Tuple					       =							argparse.ArgumentParser()
 parser.add_argument('''--pytorch_dump_folder_path''', default=None, type=str, help='''Path to the output PyTorch model.''')
 parser.add_argument('''--checkpoint_path''', default=None, type=str, help='''Path to fairseq checkpoint''')
 parser.add_argument('''--dict_path''', default=None, type=str, help='''Path to dict of fine-tuned model''')
 parser.add_argument('''--config_path''', default=None, type=str, help='''Path to hf config.json of model to convert''')
 parser.add_argument(
     '''--is_finetuned''', action='''store_true''', help='''Whether the model to convert is a fine-tuned model or not'''
 )
 a  :						Optional[Any]					       =							parser.parse_args()
 convert_sew_checkpoint(
     args.checkpoint_path, args.pytorch_dump_folder_path, args.config_path, args.dict_path, args.is_finetuned
 )











"""simple docstring"""



from __future__ import annotations

from math import pi, pow




def       snake_case__		(   _SCREAMING_SNAKE_CASE			)    ->float:
 if side_length < 0:
  raise ValueError("""vol_cube() only accepts non-negative values"""			)
 return pow(_SCREAMING_SNAKE_CASE       ,	3			)




def       snake_case__		(   _SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE			)    ->float:
 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(_SCREAMING_SNAKE_CASE       ,	2			) * (3 * radius - height)




def       snake_case__		(   _SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE			)    ->float:
 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(_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE			)			)

 UpperCAmelCase__ 						=				(
     (radius_a - radius_a + centers_distance)
     * (radius_a + radius_a - centers_distance)
     / (2 * centers_distance)
 )
 UpperCAmelCase__ 						=				(
     (radius_a - radius_a + centers_distance)
     * (radius_a + radius_a - centers_distance)
     / (2 * centers_distance)
 )

 return vol_spherical_cap(_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE			) + vol_spherical_cap(_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE			)




def       snake_case__		(   _SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE			)    ->float:

 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(_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE			)			)

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




def       snake_case__		(   _SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE			)    ->float:
 if width < 0 or height < 0 or length < 0:
  raise ValueError("""vol_cuboid() only accepts non-negative values"""			)
 return float(width * height * length			)




def       snake_case__		(   _SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE			)    ->float:
 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       snake_case__		(   _SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE			)    ->float:
 if height < 0 or radius < 0:
  raise ValueError("""vol_right_circ_cone() only accepts non-negative values"""			)
 return pi * pow(_SCREAMING_SNAKE_CASE       ,	2			) * height / 3.0




def       snake_case__		(   _SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE			)    ->float:
 if height < 0 or area_of_base < 0:
  raise ValueError("""vol_prism() only accepts non-negative values"""			)
 return float(area_of_base * height			)




def       snake_case__		(   _SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE			)    ->float:
 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       snake_case__		(   _SCREAMING_SNAKE_CASE			)    ->float:
 if radius < 0:
  raise ValueError("""vol_sphere() only accepts non-negative values"""			)
 # Volume is 4/3 * pi * radius cubed
 return 4 / 3 * pi * pow(_SCREAMING_SNAKE_CASE       ,	3			)




def       snake_case__		(   _SCREAMING_SNAKE_CASE			)    ->float:
 if radius < 0:
  raise ValueError("""vol_hemisphere() only accepts non-negative values"""			)
 # Volume is radius cubed * pi * 2/3
 return pow(_SCREAMING_SNAKE_CASE       ,	3			) * pi * 2 / 3




def       snake_case__		(   _SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE			)    ->float:
 if height < 0 or radius < 0:
  raise ValueError("""vol_circular_cylinder() only accepts non-negative values"""			)
 # Volume is radius squared * height * pi
 return pow(_SCREAMING_SNAKE_CASE       ,	2			) * height * pi




def       snake_case__		(   _SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE			)    ->float:
 # Volume - (outer_radius squared - inner_radius squared) * pi * height
 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(_SCREAMING_SNAKE_CASE       ,	2			) - pow(_SCREAMING_SNAKE_CASE       ,	2			)) * height




def       snake_case__		(   _SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE			)    ->float:
 # Volume is 1/3 * pi * height *
 #           (radius_1 squared + radius_2 squared + radius_1 * radius_2)
 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(_SCREAMING_SNAKE_CASE       ,	2			) + pow(_SCREAMING_SNAKE_CASE       ,	2			) + radius_a * radius_a)
 )




def       snake_case__		(   _SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE			)    ->float:
 if torus_radius < 0 or tube_radius < 0:
  raise ValueError("""vol_torus() only accepts non-negative values"""			)
 return 2 * pow(_SCREAMING_SNAKE_CASE       ,	2			) * torus_radius * pow(_SCREAMING_SNAKE_CASE       ,	2			)




def       snake_case__		(   )    ->str:
 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()



