
import argparse

import torch
from saprl.hub import distilhubert

from transformers import HubertConfig, HubertModel, WavaVecaFeatureExtractor, logging


logging.set_verbosity_info()
__lowerCAmelCase   :     int      =						logging.get_logger(__name__)

__lowerCAmelCase   :     List[Any]      =						{
    "post_extract_proj": "feature_projection.projection",
    "encoder.pos_conv.0": "encoder.pos_conv_embed.conv",
    "self_attn.k_proj": "encoder.layers.*.attention.k_proj",
    "self_attn.v_proj": "encoder.layers.*.attention.v_proj",
    "self_attn.q_proj": "encoder.layers.*.attention.q_proj",
    "self_attn.out_proj": "encoder.layers.*.attention.out_proj",
    "self_attn_layer_norm": "encoder.layers.*.layer_norm",
    "fc1": "encoder.layers.*.feed_forward.intermediate_dense",
    "fc2": "encoder.layers.*.feed_forward.output_dense",
    "final_layer_norm": "encoder.layers.*.final_layer_norm",
    "encoder.layer_norm": "encoder.layer_norm",
    "mask_emb": "masked_spec_embed",
}


def       UpperCAmelCase_					(  __lowerCAmelCase		,   __lowerCAmelCase		,   __lowerCAmelCase		,   __lowerCAmelCase		,   __lowerCAmelCase		)	->  Optional[Any]:
    for attribute in key.split('''.'''		):
        __lowercase						:     Dict		      =    getattr(__lowerCAmelCase		,   __lowerCAmelCase		)

    if weight_type is not None:
        __lowercase						:     str		      =    getattr(__lowerCAmelCase		,   __lowerCAmelCase		).shape
    else:
        __lowercase						:     List[Any]		      =    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":
        __lowercase						:     Tuple		      =    value
    elif weight_type == "weight_g":
        __lowercase						:     Any		      =    value
    elif weight_type == "weight_v":
        __lowercase						:     Union[str, Any]		      =    value
    elif weight_type == "bias":
        __lowercase						:     Optional[Any]		      =    value
    else:
        __lowercase						:     int		      =    value

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


def       UpperCAmelCase_					(  __lowerCAmelCase		,   __lowerCAmelCase		)	->  Tuple:
    __lowercase						:     Optional[Any]		      =    []
    __lowercase						:     List[str]		      =    fairseq_model.state_dict()

    __lowercase						:     int		      =    hf_model.feature_extractor

    for name, value in fairseq_dict.items():
        __lowercase						:     Union[str, Any]		      =    False
        if "conv_layers" in name:
            load_conv_layer(
                __lowerCAmelCase		,   __lowerCAmelCase		,   __lowerCAmelCase		,   __lowerCAmelCase		,   hf_model.config.feat_extract_norm == '''group'''		,   )
            __lowercase						:     int		      =    True
        else:
            for key, mapped_key in MAPPING.items():
                __lowercase						:     Dict		      =    mapped_key

                if key in name:
                    __lowercase						:     Union[str, Any]		      =    True
                    if "*" in mapped_key:
                        __lowercase						:     Any		      =    name.split(__lowerCAmelCase		)[0].split('''.'''		)[-2]
                        __lowercase						:     Any		      =    mapped_key.replace('''*'''		,   __lowerCAmelCase		)
                    if "weight_g" in name:
                        __lowercase						:     Union[str, Any]		      =    '''weight_g'''
                    elif "weight_v" in name:
                        __lowercase						:     Union[str, Any]		      =    '''weight_v'''
                    elif "weight" in name:
                        __lowercase						:     List[Any]		      =    '''weight'''
                    elif "bias" in name:
                        __lowercase						:     Tuple		      =    '''bias'''
                    else:
                        __lowercase						:     int		      =    None
                    set_recursively(__lowerCAmelCase		,   __lowerCAmelCase		,   __lowerCAmelCase		,   __lowerCAmelCase		,   __lowerCAmelCase		)
                continue
        if not is_used:
            unused_weights.append(__lowerCAmelCase		)

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


def       UpperCAmelCase_					(  __lowerCAmelCase		,   __lowerCAmelCase		,   __lowerCAmelCase		,   __lowerCAmelCase		,   __lowerCAmelCase		)	->  Optional[int]:
    __lowercase						:     Optional[int]		      =    full_name.split('''conv_layers.'''		)[-1]
    __lowercase						:     str		      =    name.split('''.'''		)
    __lowercase						:     Dict		      =    int(items[0]		)
    __lowercase						:     List[str]		      =    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.'
            )
            __lowercase						:     Optional[int]		      =    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.'
            )
            __lowercase						:     Optional[Any]		      =    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."
            )
            __lowercase						:     Union[str, Any]		      =    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.'
            )
            __lowercase						:     Dict		      =    value
            logger.info(F'Feat extract layer norm weight of layer {layer_id} was initialized from {full_name}.'		)
    else:
        unused_weights.append(__lowerCAmelCase		)


def       UpperCAmelCase_					(  __lowerCAmelCase		)	->  Optional[int]:
    __lowercase						:     Union[str, Any]		      =    HubertConfig()
    __lowercase						:     str		      =    model.config

    __lowercase						:     str		      =    fs_config.activation_dropout
    __lowercase						:     int		      =    False
    __lowercase						:     Optional[Any]		      =    fs_config.attention_dropout
    __lowercase						:     int		      =    False
    __lowercase						:     Dict		      =    eval(fs_config.extractor_conv_feature_layers		)
    __lowercase						:     Union[str, Any]		      =    [x[0] for x in conv_layers]
    __lowercase						:     Tuple		      =    [x[1] for x in conv_layers]
    __lowercase						:     Optional[Any]		      =    [x[2] for x in conv_layers]
    __lowercase						:     Tuple		      =    '''gelu'''
    __lowercase						:     Optional[Any]		      =    '''layer''' if fs_config.extractor_mode == '''layer_norm''' else '''group'''
    __lowercase						:     List[Any]		      =    False
    __lowercase						:     Dict		      =    0.0
    __lowercase						:     Union[str, Any]		      =    0.0
    __lowercase						:     List[str]		      =    fs_config.activation_fn
    __lowercase						:     Any		      =    fs_config.dropout
    __lowercase						:     List[str]		      =    fs_config.encoder_embed_dim
    __lowercase						:     Union[str, Any]		      =    0.02
    __lowercase						:     str		      =    fs_config.encoder_ffn_embed_dim
    __lowercase						:     Any		      =    1E-5
    __lowercase						:     Optional[Any]		      =    0.0
    __lowercase						:     Optional[int]		      =    fs_config.encoder_attention_heads
    __lowercase						:     str		      =    fs_config.conv_pos_groups
    __lowercase						:     Tuple		      =    fs_config.conv_pos
    __lowercase						:     Union[str, Any]		      =    len(__lowerCAmelCase		)
    __lowercase						:     int		      =    fs_config.encoder_layers

    return config


@torch.no_grad()
def       UpperCAmelCase_					(  __lowerCAmelCase		,   __lowerCAmelCase=None		)	->  int:
    __lowercase						:     Dict		      =    distilhubert().model.model

    if config_path is not None:
        __lowercase						:     Tuple		      =    HubertConfig.from_pretrained(__lowerCAmelCase		)
    else:
        __lowercase						:     Any		      =    convert_config(__lowerCAmelCase		)
    __lowercase						:     int		      =    model.eval()

    __lowercase						:     List[Any]		      =    WavaVecaFeatureExtractor(
        feature_size=1		,   sampling_rate=16_000		,   padding_value=0		,   do_normalize=__lowerCAmelCase		,   return_attention_mask=__lowerCAmelCase		,   )
    __lowercase						:     int		      =    HubertModel(__lowerCAmelCase		)

    recursively_load_weights(__lowerCAmelCase		,   __lowerCAmelCase		)

    feature_extractor.save_pretrained(__lowerCAmelCase		)
    hf_model.save_pretrained(__lowerCAmelCase		)


if __name__ == "__main__":
 __lowerCAmelCase   :     Any      =						argparse.ArgumentParser()
 parser.add_argument("--pytorch_dump_folder_path", default=None, type=str, help="Path to the output PyTorch model.")
 parser.add_argument("--config_path", default=None, type=str, help="Path to hf config.json of model to convert")
 __lowerCAmelCase   :     Optional[int]      =						parser.parse_args()
 convert_hubert_checkpoint(args.pytorch_dump_folder_path, args.config_path)




from __future__ import annotations

from math import pi, pow


def       UpperCAmelCase_					(  __lowerCAmelCase		)	->  float:
    if side_length < 0:
        raise ValueError('''vol_cube() only accepts non-negative values'''		)
    return pow(__lowerCAmelCase		,   3		)


def       UpperCAmelCase_					(  __lowerCAmelCase		,   __lowerCAmelCase		)	->  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(__lowerCAmelCase		,   2		) * (3 * radius - height)


def       UpperCAmelCase_					(  __lowerCAmelCase		,   __lowerCAmelCase		,   __lowerCAmelCase		)	->  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(__lowerCAmelCase		,   __lowerCAmelCase		)		)

    __lowercase						:     Dict		      =    (
        (radius_a - radius_a + centers_distance)
        * (radius_a + radius_a - centers_distance)
        / (2 * centers_distance)
    )
    __lowercase						:     Optional[int]		      =    (
        (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       UpperCAmelCase_					(  __lowerCAmelCase		,   __lowerCAmelCase		,   __lowerCAmelCase		)	->  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(__lowerCAmelCase		,   __lowerCAmelCase		)		)

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


def       UpperCAmelCase_					(  __lowerCAmelCase		,   __lowerCAmelCase		,   __lowerCAmelCase		)	->  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       UpperCAmelCase_					(  __lowerCAmelCase		,   __lowerCAmelCase		)	->  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       UpperCAmelCase_					(  __lowerCAmelCase		,   __lowerCAmelCase		)	->  float:
    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       UpperCAmelCase_					(  __lowerCAmelCase		,   __lowerCAmelCase		)	->  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       UpperCAmelCase_					(  __lowerCAmelCase		,   __lowerCAmelCase		)	->  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       UpperCAmelCase_					(  __lowerCAmelCase		)	->  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(__lowerCAmelCase		,   3		)


def       UpperCAmelCase_					(  __lowerCAmelCase		)	->  float:
    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       UpperCAmelCase_					(  __lowerCAmelCase		,   __lowerCAmelCase		)	->  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(__lowerCAmelCase		,   2		) * height * pi


def       UpperCAmelCase_					(  __lowerCAmelCase		,   __lowerCAmelCase		,   __lowerCAmelCase		)	->  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(__lowerCAmelCase		,   2		) - pow(__lowerCAmelCase		,   2		)) * height


def       UpperCAmelCase_					(  __lowerCAmelCase		,   __lowerCAmelCase		,   __lowerCAmelCase		)	->  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(__lowerCAmelCase		,   2		) + pow(__lowerCAmelCase		,   2		) + radius_a * radius_a)
    )


def       UpperCAmelCase_					(  __lowerCAmelCase		,   __lowerCAmelCase		)	->  float:
    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       UpperCAmelCase_					(  )	->  Optional[Any]:
    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()


