remove use of python

## Requirements

- MATLAB >= R2020b

- Signal Processing Toolbox

- Python 3.9.* with pip

- [`../../scripts/pyaudio3dtools`](../../scripts/pyaudio3dtools) packages

- NumPy (`pip install numpy`)

- H5py (`pip install h5py`)

- SciPy (`pip install scipy`) for [`../../scripts/pyaudio3dtools`](../../scripts/pyaudio3dtools) packages

- C/C++ compiler 

   - Linux (Ubuntu) :

     ```shell

     cd ..

     ```

   - `generate_crend_ivas_tables` executable shall be in folder [`../../scripts/binauralRenderer_interface`](../../scripts/binauralRenderer_interface)  

   - `SofaReader.py` file must be in the same folder as the executable `generate_crend_ivas_tables`

   - Run

     ```shell 

     python3 run.py

     ``` 

     → No error message shall appear

      - Using `pip` and `PYTHONPATH`. Add `pip` packages folder (e.g., [`C:\Users\username\AppData\Local\Programs\Python\Python311\Lib\site-packages`](C:\Users\username\AppData\Local\Programs\Python\Python311\Lib\site-packages)) to environment variable `PYTHONPATH`. It can be necessary also to add folder [`../../scripts/pyaudio3dtools`](../../scripts/pyaudio3dtools) to `PYTHONPATH`.  

   - On windows this executable requires dll from matlab, you need to add to your path "*/matlab/version/bin/win64"

   - For more details on `generate_crend_ivas_tables` see [`mixer_conv_sofa_to_rom_table_converter_readme.txt`](mixer_conv_sofa_to_rom_table_converter_readme.txt).

### Build `tables_format_converter` in `Release` or `RelWithDebugInfo` configuration. `Debug` configuration does not work calling NumPy

"""

   (C) 2022-2023 IVAS codec Public Collaboration with portions copyright Dolby International AB, Ericsson AB,

   Fraunhofer-Gesellschaft zur Foerderung der angewandten Forschung e.V., Huawei Technologies Co. LTD.,

   Koninklijke Philips N.V., Nippon Telegraph and Telephone Corporation, Nokia Technologies Oy, Orange,

   Panasonic Holdings Corporation, Qualcomm Technologies, Inc., VoiceAge Corporation, and other

   contributors to this repository. All Rights Reserved.

   This software is protected by copyright law and by international treaties.

   The IVAS codec Public Collaboration consisting of Dolby International AB, Ericsson AB,

   Fraunhofer-Gesellschaft zur Foerderung der angewandten Forschung e.V., Huawei Technologies Co. LTD.,

   Koninklijke Philips N.V., Nippon Telegraph and Telephone Corporation, Nokia Technologies Oy, Orange,

   Panasonic Holdings Corporation, Qualcomm Technologies, Inc., VoiceAge Corporation, and other

   contributors to this repository retain full ownership rights in their respective contributions in

   the software. This notice grants no license of any kind, including but not limited to patent

   license, nor is any license granted by implication, estoppel or otherwise.

   Contributors are required to enter into the IVAS codec Public Collaboration agreement before making

   contributions.

   This software is provided "AS IS", without any express or implied warranties. The software is in the

   development stage. It is intended exclusively for experts who have experience with such software and

   solely for the purpose of inspection. All implied warranties of non-infringement, merchantability

   and fitness for a particular purpose are hereby disclaimed and excluded.

   Any dispute, controversy or claim arising under or in relation to providing this software shall be

   submitted to and settled by the final, binding jurisdiction of the courts of Munich, Germany in

   accordance with the laws of the Federal Republic of Germany excluding its conflict of law rules and

   the United Nations Convention on Contracts on the International Sales of Goods.

"""

import numpy as np

import pyaudio3dtools

import h5py

from typing import Tuple

def load(

    filename,

) -> Tuple[

    str,

    str,

    int,

    np.ndarray,

    np.ndarray,

    np.ndarray,

    np.ndarray,

    np.ndarray,

    np.ndarray,

    np.ndarray,

]:

    hrtf = h5py.File(filename, "r")

    Database_Name = str(hrtf.attrs["DatabaseName"])

    Listener_Short_Name = str(hrtf.attrs["ListenerShortName"])

    latencys = 0

    if "latencys" in hrtf.keys():

        latencys = np.array(hrtf["latencys"])

    Sampling_Rate = np.array(hrtf["Data.SamplingRate"])

    if Sampling_Rate.size > 1:

        return (

            "",

            "",

            0,

            None,

            None,

            None,

            None,

            None,

            None,

            None,

        )

    Sampling_Rate = int(Sampling_Rate[0])

    ind_dir = 0

    Source_Position_hd5 = hrtf["SourcePosition"]

    Source_Position = np.array(Source_Position_hd5)

    unitToRad = [1.0, 1.0]

    Units = str(Source_Position_hd5.attrs["Units"])

    if "degree" in Units:

        unitToRad[0] = np.pi / 180

        Units = Units.replace("degree,", "", 1)

        if "degree" in Units:

            unitToRad[1] = np.pi / 180

            Units = Units.replace("degree,", "", 1)

    Source_Position_Cartesian = np.copy(Source_Position)

    for ind_dir_ptr in Source_Position:

        Source_Position_Cartesian[ind_dir][0] = (

            ind_dir_ptr[2]

            * np.cos(ind_dir_ptr[0] * unitToRad[0])

            * np.cos(ind_dir_ptr[1] * unitToRad[1])

        )

        Source_Position_Cartesian[ind_dir][1] = (

            ind_dir_ptr[2]

            * np.sin(ind_dir_ptr[0] * unitToRad[0])

            * np.cos(ind_dir_ptr[1] * unitToRad[1])

        )

        Source_Position_Cartesian[ind_dir][2] = ind_dir_ptr[2] * np.sin(

            ind_dir_ptr[1] * unitToRad[1]

        )

        ind_dir = ind_dir + 1

    Data_Delay = np.array(hrtf["Data.Delay"])

    Data_IR = np.array(hrtf["Data.IR"])

    Data_IR_48khz = np.zeros(

        (

            Data_IR.shape[0],

            Data_IR.shape[1],

            int(np.ceil(Data_IR.shape[2] * 48000 / Sampling_Rate)),

        )

    )

    Data_IR_32khz = np.zeros(

        (

            Data_IR.shape[0],

            Data_IR.shape[1],

            int(np.ceil(Data_IR.shape[2] * 32000 / Sampling_Rate)),

        )

    )

    Data_IR_16khz = np.zeros(

        (

            Data_IR.shape[0],

            Data_IR.shape[1],

            int(np.ceil(Data_IR.shape[2] * 16000 / Sampling_Rate)),

        )

    )

    ind_dir = 0

    for ind_dir_ptr in Data_IR:

        ind_ear = 0

        for ind_ear_ptr in ind_dir_ptr:

            tmp = np.copy(ind_ear_ptr)

            Data_IR_48khz[ind_dir][ind_ear][:] = pyaudio3dtools.audioarray.resample(

                tmp, Sampling_Rate, 48000

            )

            tmp = np.copy(ind_ear_ptr)

            Data_IR_32khz[ind_dir][ind_ear][:] = pyaudio3dtools.audioarray.resample(

                tmp, Sampling_Rate, 32000

            )

            tmp = np.copy(ind_ear_ptr)

            Data_IR_16khz[ind_dir][ind_ear][:] = pyaudio3dtools.audioarray.resample(

                tmp, Sampling_Rate, 16000

            )

            ind_ear = ind_ear + 1

        ind_dir = ind_dir + 1

    return (

        Database_Name,

        Listener_Short_Name,

        Sampling_Rate,

        latencys,

        Data_Delay,

        Data_IR_48khz,

        Data_IR_32khz,

        Data_IR_16khz,

        Source_Position,

        Source_Position_Cartesian,

    )

def find_pos_cart(Source_Position_Cartesian, dir_cart):

    valmax = 0

    indmax = -1

    ind_dir = 0

    for ind_dir_ptr in Source_Position_Cartesian:

        tmp = np.dot(ind_dir_ptr, dir_cart)

        if tmp > valmax:

            valmax = tmp

            indmax = ind_dir

        ind_dir = ind_dir + 1

    return indmax

def find_pos_spheric(Source_Position_Cartesian, dir_spheric):

    valmax = 0

    indmax = -1

    ind_dir = 0

    dir_cart = np.copy(dir_spheric)

    dir_cart[0] = (

        dir_spheric[2]

        * np.cos(dir_spheric[0] * np.pi / 180)

        * np.cos(dir_spheric[1] * np.pi / 180)

    )

    dir_cart[1] = (

        dir_spheric[2]

        * np.sin(dir_spheric[0] * np.pi / 180)

        * np.cos(dir_spheric[1] * np.pi / 180)

    )

    dir_cart[2] = dir_spheric[2] * np.sin(dir_spheric[1] * np.pi / 180)

    for ind_dir_ptr in Source_Position_Cartesian:

        tmp = np.dot(ind_dir_ptr, dir_cart)

        if tmp > valmax:

            valmax = tmp

            indmax = ind_dir

        ind_dir = ind_dir + 1

    return indmax

"""

   (C) 2022-2023 IVAS codec Public Collaboration with portions copyright Dolby International AB, Ericsson AB,

   Fraunhofer-Gesellschaft zur Foerderung der angewandten Forschung e.V., Huawei Technologies Co. LTD.,

   Koninklijke Philips N.V., Nippon Telegraph and Telephone Corporation, Nokia Technologies Oy, Orange,

   Panasonic Holdings Corporation, Qualcomm Technologies, Inc., VoiceAge Corporation, and other

   contributors to this repository. All Rights Reserved.

   This software is protected by copyright law and by international treaties.

   The IVAS codec Public Collaboration consisting of Dolby International AB, Ericsson AB,

   Fraunhofer-Gesellschaft zur Foerderung der angewandten Forschung e.V., Huawei Technologies Co. LTD.,

   Koninklijke Philips N.V., Nippon Telegraph and Telephone Corporation, Nokia Technologies Oy, Orange,

   Panasonic Holdings Corporation, Qualcomm Technologies, Inc., VoiceAge Corporation, and other

   contributors to this repository retain full ownership rights in their respective contributions in

   the software. This notice grants no license of any kind, including but not limited to patent

   license, nor is any license granted by implication, estoppel or otherwise.

   Contributors are required to enter into the IVAS codec Public Collaboration agreement before making

   contributions.

   This software is provided "AS IS", without any express or implied warranties. The software is in the

   development stage. It is intended exclusively for experts who have experience with such software and

   solely for the purpose of inspection. All implied warranties of non-infringement, merchantability

   and fitness for a particular purpose are hereby disclaimed and excluded.

   Any dispute, controversy or claim arising under or in relation to providing this software shall be

   submitted to and settled by the final, binding jurisdiction of the courts of Munich, Germany in

   accordance with the laws of the Federal Republic of Germany excluding its conflict of law rules and

   the United Nations Convention on Contracts on the International Sales of Goods.

"""

import os

import sys

localPath = os.getcwd()

oseperator = os.sep

localPath = localPath.replace(os.sep + "binauralRenderer_interface", "")

sys.path.append(localPath)

import SofaReader as sr

filename = "./HRIRs_sofa/HRIR_128_Meth5_IRC_53_Q10_symL_Itrp1_48000.sofa"

[

    baseName,

    listName,

    sampleRate,

    latency,

    Data_Delay,

    Data_IR_48khz,

    Data_IR_32khz,

    Data_IR_16khz,

    srcPos,

    srcPosCart,

] = sr.load(filename)

ind = sr.find_pos_spheric(srcPosCart, [30.0, 0.0, 2.0])

print("base Name :" + baseName)

print("listener Name :" + listName)

print("sampleRate :" + str(sampleRate))

print("indice of direction [30.0, 0.0, 2.0] : " + str(ind))

print("No error in reading " + filename)

exit

Copyright (c) 2008 Andrew Collette and contributors

All rights reserved.

Redistribution and use in source and binary forms, with or without

modification, are permitted provided that the following conditions are

met:

1. Redistributions of source code must retain the above copyright

   notice, this list of conditions and the following disclaimer.

2. Redistributions in binary form must reproduce the above copyright

   notice, this list of conditions and the following disclaimer in the

   documentation and/or other materials provided with the

   distribution.

3. Neither the name of the copyright holder nor the names of its

   contributors may be used to endorse or promote products derived from

   this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS

"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT

LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR

A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT

HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,

SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT

LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,

DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY

THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT

(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE

OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

Copyright Notice and License Terms for 

HDF5 (Hierarchical Data Format 5) Software Library and Utilities

-----------------------------------------------------------------------------

HDF5 (Hierarchical Data Format 5) Software Library and Utilities

Copyright 2006 by The HDF Group. 

NCSA HDF5 (Hierarchical Data Format 5) Software Library and Utilities

Copyright 1998-2006 by The Board of Trustees of the University of Illinois. 

All rights reserved.

Redistribution and use in source and binary forms, with or without 

modification, are permitted for any purpose (including commercial purposes) 

provided that the following conditions are met:

1. Redistributions of source code must retain the above copyright notice, 

   this list of conditions, and the following disclaimer.

2. Redistributions in binary form must reproduce the above copyright notice, 

   this list of conditions, and the following disclaimer in the documentation 

   and/or materials provided with the distribution.

3. Neither the name of The HDF Group, the name of the University, nor the 

   name of any Contributor may be used to endorse or promote products derived 

   from this software without specific prior written permission from 

   The HDF Group, the University, or the Contributor, respectively.

DISCLAIMER: 

THIS SOFTWARE IS PROVIDED BY THE HDF GROUP AND THE CONTRIBUTORS 

"AS IS" WITH NO WARRANTY OF ANY KIND, EITHER EXPRESSED OR IMPLIED. IN NO 

EVENT SHALL THE HDF GROUP OR THE CONTRIBUTORS BE LIABLE FOR ANY DAMAGES 

SUFFERED BY THE USERS ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF 

ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

You are under no obligation whatsoever to provide any bug fixes, patches, or 

upgrades to the features, functionality or performance of the source code 

("Enhancements") to anyone; however, if you choose to make your Enhancements 

available either publicly, or directly to The HDF Group, without imposing a 

separate written license agreement for such Enhancements, then you hereby 

grant the following license: a non-exclusive, royalty-free perpetual license 

to install, use, modify, prepare derivative works, incorporate into other 

computer software, distribute, and sublicense such enhancements or derivative 

works thereof, in binary and source code form.

-----------------------------------------------------------------------------

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Limited portions of HDF5 were developed by Lawrence Berkeley National 

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found here: COPYING_LBNL_HDF5 file in this directory or at 

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-----------------------------------------------------------------------------

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Contributors:   National Center for Supercomputing Applications (NCSA) at 

the University of Illinois, Fortner Software, Unidata Program Center 

(netCDF), The Independent JPEG Group (JPEG), Jean-loup Gailly and Mark Adler 

(gzip), and Digital Equipment Corporation (DEC).

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Portions of HDF5 were developed with support from the Lawrence Berkeley 

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under Prime Contract No. DE-AC02-05CH11231.

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The following statement applies to those portions of the product and must 

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   Lawrence Livermore National Laboratory (UC LLNL) under contract 

   no. W-7405-ENG-48 (Contract 48) between the U.S. Department of Energy 

   (DOE) and The Regents of the University of California (University) 

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   DISCLAIMER: 

   THIS WORK WAS PREPARED AS AN ACCOUNT OF WORK SPONSORED BY AN AGENCY OF 

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HDF5 (Hierarchical Data Format 5)

Copyright (c) 2016, The Regents of the University of California, through 

Lawrence Berkeley National Laboratory (subject to receipt of any required 

approvals from the U.S. Dept. of Energy).

All rights reserved.

Redistribution and use in source and binary forms, with or without 

modification, are permitted provided that the following conditions are met:

1. Redistributions of source code must retain the above copyright notice, 

   this list of conditions, and the following disclaimer.

2. Redistributions in binary form must reproduce the above copyright notice, 

   this list of conditions, and the following disclaimer in the documentation 

   and/or materials provided with the distribution.

3. Neither the name of the University of California, Lawrence Berkeley 

National Laboratory, U.S. Dept. of Energy nor the names of its contributors 

may be used to endorse or promote products derived from this software without 

specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" 

AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE 

IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE 

ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE 

LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR 

CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF 

SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS 

INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN 

CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) 

ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF 

THE POSSIBILITY OF SUCH DAMAGE.

You are under no obligation whatsoever to provide any bug fixes, patches, 

or upgrades to the features, functionality or performance of the source 

code ("Enhancements") to anyone; however, if you choose to make your 

Enhancements available either publicly, or directly to Lawrence Berkeley 

National Laboratory, without imposing a separate written license agreement 

for such Enhancements, then you hereby grant the following license: 

a non-exclusive, royalty-free perpetual license to install, use, modify, 

prepare derivative works, incorporate into other computer software, 

distribute, and sublicense such enhancements or derivative works thereof, 

in binary and source code form.

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