OPL2/3 Adlib emulation

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Development Status
- 5 - Production/Stable
Intended Audience
- End Users/Desktop
License
- OSI Approved :: GNU General Public License v3 (GPLv3)
Operating System
- OS Independent
Programming Language
- C++
Topic
- Multimedia :: Sound/Audio :: Sound Synthesis

Project description

PyOPL: OPL2/3 emulation for Python

http://www.github.com/Malvineous/pyopl

PyOPL is a simple wrapper around an OPL synthesiser so that it can be accessed from within Python. It uses the DOSBox synth, which has been released under the GPL license.

PyOPL does not include any audio output mechanism, it simply converts register and value pairs into PCM data. The example programs use PyAudio for audio output. Note that PyGame is not suitable for this as it lacks a method for streaming audio generated on-the-fly, and faking it by creating new Sound objects is unreliable as they do not always queue correctly.

To install it:

pip install PyOPL

The code is compiled like this:

pip install build
python -m build

Install the build wheel:

python -m pip install .

This library is released under the GPLv3 license.

Project details

These details have not been verified by PyPI

Project links

Repository

GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Development Status
- 5 - Production/Stable
Intended Audience
- End Users/Desktop
License
- OSI Approved :: GNU General Public License v3 (GPLv3)
Operating System
- OS Independent
Programming Language
- C++
Topic
- Multimedia :: Sound/Audio :: Sound Synthesis

Release history Release notifications | RSS feed

This version

2.0

Mar 3, 2024

1.3

Jun 16, 2012

1.2

May 5, 2012

1.1

Apr 25, 2012

1.0

Mar 5, 2011

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PyOPL-2.0.tar.gz (33.8 kB view hashes)

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PyOPL-2.0-pp310-pypy310_pp73-win_amd64.whl (30.9 kB view hashes)

Uploaded Mar 3, 2024 PyPy Windows x86-64

PyOPL-2.0-pp310-pypy310_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (33.1 kB view hashes)

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PyOPL-2.0-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (32.7 kB view hashes)

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PyOPL-2.0-pp310-pypy310_pp73-macosx_10_9_x86_64.whl (30.0 kB view hashes)

Uploaded Mar 3, 2024 PyPy macOS 10.9+ x86-64

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Uploaded Mar 3, 2024 PyPy Windows x86-64

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Uploaded Mar 3, 2024 PyPy macOS 10.9+ x86-64

PyOPL-2.0-pp38-pypy38_pp73-win_amd64.whl (30.9 kB view hashes)

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PyOPL-2.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl (30.0 kB view hashes)

Uploaded Mar 3, 2024 PyPy macOS 10.9+ x86-64

PyOPL-2.0-cp311-abi3-win_amd64.whl (30.8 kB view hashes)

Uploaded Mar 3, 2024 CPython 3.11+ Windows x86-64

PyOPL-2.0-cp311-abi3-win32.whl (28.4 kB view hashes)

Uploaded Mar 3, 2024 CPython 3.11+ Windows x86

PyOPL-2.0-cp311-abi3-musllinux_1_1_x86_64.whl (639.2 kB view hashes)

Uploaded Mar 3, 2024 CPython 3.11+ musllinux: musl 1.1+ x86-64

PyOPL-2.0-cp311-abi3-musllinux_1_1_i686.whl (688.2 kB view hashes)

Uploaded Mar 3, 2024 CPython 3.11+ musllinux: musl 1.1+ i686

PyOPL-2.0-cp311-abi3-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (94.3 kB view hashes)

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PyOPL-2.0-cp311-abi3-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (90.0 kB view hashes)

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Uploaded Mar 3, 2024 CPython 3.11+ macOS 10.9+ x86-64

PyOPL-2.0-cp310-cp310-win_amd64.whl (30.9 kB view hashes)

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PyOPL-2.0-cp310-cp310-win32.whl (28.5 kB view hashes)

Uploaded Mar 3, 2024 CPython 3.10 Windows x86

PyOPL-2.0-cp310-cp310-musllinux_1_1_x86_64.whl (645.0 kB view hashes)

Uploaded Mar 3, 2024 CPython 3.10 musllinux: musl 1.1+ x86-64

PyOPL-2.0-cp310-cp310-musllinux_1_1_i686.whl (693.9 kB view hashes)

Uploaded Mar 3, 2024 CPython 3.10 musllinux: musl 1.1+ i686

PyOPL-2.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (98.1 kB view hashes)

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Uploaded Mar 3, 2024 CPython 3.10 macOS 10.9+ x86-64

PyOPL-2.0-cp39-cp39-win_amd64.whl (30.9 kB view hashes)

Uploaded Mar 3, 2024 CPython 3.9 Windows x86-64

PyOPL-2.0-cp39-cp39-win32.whl (28.5 kB view hashes)

Uploaded Mar 3, 2024 CPython 3.9 Windows x86

PyOPL-2.0-cp39-cp39-musllinux_1_1_x86_64.whl (644.7 kB view hashes)

Uploaded Mar 3, 2024 CPython 3.9 musllinux: musl 1.1+ x86-64

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PyOPL-2.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (97.9 kB view hashes)

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Uploaded Mar 3, 2024 CPython 3.9 manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

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Uploaded Mar 3, 2024 CPython 3.9 macOS 10.9+ x86-64

PyOPL-2.0-cp38-cp38-win_amd64.whl (30.9 kB view hashes)

Uploaded Mar 3, 2024 CPython 3.8 Windows x86-64

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Uploaded Mar 3, 2024 CPython 3.8 musllinux: musl 1.1+ x86-64

PyOPL-2.0-cp38-cp38-musllinux_1_1_i686.whl (693.9 kB view hashes)

Uploaded Mar 3, 2024 CPython 3.8 musllinux: musl 1.1+ i686

PyOPL-2.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (98.6 kB view hashes)

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Uploaded Mar 3, 2024 CPython 3.8 manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

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Algorithm	Hash digest
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Hashes for PyOPL-2.0-pp39-pypy39_pp73-win_amd64.whl

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Algorithm	Hash digest
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BLAKE2b-256	`451c9c8093d6f1f7c008779b8238fb33934f44ce78e3199bffb27e84b09ea9f3`

Hashes for PyOPL-2.0-cp310-cp310-win_amd64.whl

Hashes for PyOPL-2.0-cp310-cp310-win_amd64.whl
Algorithm	Hash digest
SHA256	`bf60cb9abfaf3e32a21d4cfd0757a89e471fe9037aebe6d25695c0e04e7590e6`
MD5	`9704be4aac55b93f7ecb4d12fa4705fb`
BLAKE2b-256	`b7ac3b864c9eaf76a0e9224eff7cc8aedf55bde7d5980bcdafdf5caf8271fcb9`

Hashes for PyOPL-2.0-cp310-cp310-win32.whl

Hashes for PyOPL-2.0-cp310-cp310-win32.whl
Algorithm	Hash digest
SHA256	`56cb35e8750ba8f59ebab1a88679248ee12a4b935f18577f488ae46150629859`
MD5	`3bc7cb370da72f171670f9c21aa5d4db`
BLAKE2b-256	`0d312a9cf5b6025dc5c24f0d2cd88d6437ca5244ccee5c65d5f1bfeafe3a81bf`

Hashes for PyOPL-2.0-cp310-cp310-musllinux_1_1_x86_64.whl

Hashes for PyOPL-2.0-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm	Hash digest
SHA256	`b3854da0392256b6c491efb2cf3f6afffd73ca7ca8e95557908542c07b9a514b`
MD5	`84ff66e3e8a7b41aed0a4b8102de166d`
BLAKE2b-256	`67711d03d8303f54854c51f65a10fc26f39b0d21f46c0de5af1ea7736deebf4d`

Hashes for PyOPL-2.0-cp310-cp310-musllinux_1_1_i686.whl

Hashes for PyOPL-2.0-cp310-cp310-musllinux_1_1_i686.whl
Algorithm	Hash digest
SHA256	`99373711be8e360ce9ce426ac05bc8ed23d463ecef953f7b655d85cdf3316cae`
MD5	`429567604fe6eccc16c55b1a7500e768`
BLAKE2b-256	`c94839c1760d3321cc6b4b59ba4e745a759ad3c9aa8ce6804c59ba9d36d0723a`

Hashes for PyOPL-2.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for PyOPL-2.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`93c83b17a2b23bc85197da9721df874439c77b9a81d13414f6b4e59ffd9e2657`
MD5	`15cd1a46347f96866804b48fc957be6d`
BLAKE2b-256	`d6aac01115469a51ccc26338a286a091fd1cf3a77a97de459f595413400a98a7`

Hashes for PyOPL-2.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl

Hashes for PyOPL-2.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm	Hash digest
SHA256	`17382838875247e64688d15c319aa11aa4b398309fbda6860622f365ab4a47e3`
MD5	`d46ee65c07da2a82822cd4b88644f10e`
BLAKE2b-256	`0300aec6039d2a9c6c0c4bd7283696ee9b025b0264b2b7627caecbc4a381174f`

Hashes for PyOPL-2.0-cp310-cp310-macosx_10_9_x86_64.whl

Hashes for PyOPL-2.0-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`1f0871118bd6855eee8a408124f1df523dd6e89fd1bbbb102c0f8c867ff97ef5`
MD5	`e4b749aebdd72a1f8da72a5d7ba26d27`
BLAKE2b-256	`3f7e19a150fc2ed3079636b608314f20be7a9d9b502ea2addf04a33e6144acba`

Hashes for PyOPL-2.0-cp39-cp39-win_amd64.whl

Hashes for PyOPL-2.0-cp39-cp39-win_amd64.whl
Algorithm	Hash digest
SHA256	`f739bdaaa8d78eb1956cebabcfdb4822cb98e26b6ea39f93a20e599a33920b21`
MD5	`db551b611c7d61ec5e139aa208ad816f`
BLAKE2b-256	`4e8224d08865aded7bb35b59ef14c95d0386b012c4a3d44e13dcb95b5bc61d67`

Hashes for PyOPL-2.0-cp39-cp39-win32.whl

Hashes for PyOPL-2.0-cp39-cp39-win32.whl
Algorithm	Hash digest
SHA256	`6fe5e9424730f005a5e787e103afc22b2950e6b6422ab009e3276b60bca3fa69`
MD5	`a6f3de0e61d4a932cb519ac6526862da`
BLAKE2b-256	`686f5e9cfac3b946f0848b2e8b967e2719ec64fd077fd6e8c93f5dd41aaa26af`

Hashes for PyOPL-2.0-cp39-cp39-musllinux_1_1_x86_64.whl

Hashes for PyOPL-2.0-cp39-cp39-musllinux_1_1_x86_64.whl
Algorithm	Hash digest
SHA256	`b3cdd52366fd18a4eb72bfbbaea11d2c711ae61ef60573bfb425b6458fe484cd`
MD5	`39f63b33458081657dc609a1935fd332`
BLAKE2b-256	`985c7ce173b8a8628890fafa6ead69cdb64f04742914a7a21d7378478b7cd598`

Hashes for PyOPL-2.0-cp39-cp39-musllinux_1_1_i686.whl

Hashes for PyOPL-2.0-cp39-cp39-musllinux_1_1_i686.whl
Algorithm	Hash digest
SHA256	`4544a9e14b6288e3c0755e443e312d103b837a5089efd9170bd4f3219c3dc331`
MD5	`786db0c98df5913d3b6ab5953b716c3f`
BLAKE2b-256	`ef8fea08fc6e1b3e42bcf5561dd121522c685b9ddbd61ad1dc6618577804d3eb`

Hashes for PyOPL-2.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for PyOPL-2.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`dcf3ae5c7df1bcd7e59f9f9461f2d70e24b895f2c671c67c22676de9bfa93232`
MD5	`392bf919c1a1c701dd6e7147ea0b54a7`
BLAKE2b-256	`14a7acdf0c69e9c0c80e0f48cdb9f00a8a126704c09cb433c9898d7ed707cfaa`

Hashes for PyOPL-2.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl

Hashes for PyOPL-2.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm	Hash digest
SHA256	`c2f07783309d853548df122e09a5d24513116b55a44edd1af4d86d29a73f7972`
MD5	`3016d586a236662f7c1713b933a7cb69`
BLAKE2b-256	`fc2fc99a267b6f1c295e2adc5ccdea582dae996b4a0b70796cb08c0e001cc966`

Hashes for PyOPL-2.0-cp39-cp39-macosx_10_9_x86_64.whl

Hashes for PyOPL-2.0-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`3dda96a7c79d422506e45a9433bde66996b907e99dff87aff5093b545fa9cfc0`
MD5	`ee6562fd77158ab9a0c817417cab03ea`
BLAKE2b-256	`1e29cafdd0c18f848a29766957d43c7129abf342ac40ede7a856843276aad83d`

Hashes for PyOPL-2.0-cp38-cp38-win_amd64.whl

Hashes for PyOPL-2.0-cp38-cp38-win_amd64.whl
Algorithm	Hash digest
SHA256	`118b0aead8aa4da20868bed8eb380abe92cc93845df2364894101f651e47712d`
MD5	`468cc51feb885d5dbcc59fb185e5adb8`
BLAKE2b-256	`d25b5e48a96650e2c80e5c7dc8c281e5b763fbf4bb25f413bd6a674a7920a572`

Hashes for PyOPL-2.0-cp38-cp38-win32.whl

Hashes for PyOPL-2.0-cp38-cp38-win32.whl
Algorithm	Hash digest
SHA256	`09962265e632d9c3920782b002b208ce5f0c9e68aec0b096759e9e1548f4771d`
MD5	`08e7e55901866b81446112f6f23b57a5`
BLAKE2b-256	`b5c93a20d0a4f40dbe3dfdb041f1de7a1bf30fca549c5fc303651e48a967d09a`

Hashes for PyOPL-2.0-cp38-cp38-musllinux_1_1_x86_64.whl

Hashes for PyOPL-2.0-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm	Hash digest
SHA256	`1f43109368fa135a5b8fcadf1db2de8e77bc1f62cd8ba1800986ecddde1ff542`
MD5	`76ea08bbd4212d7dd4e14941e23c01f9`
BLAKE2b-256	`7d8ee0dad0b24ce00c7fad27f2f9cb8112c07e1bb1b42b88c3c5d4cc5942c919`

Hashes for PyOPL-2.0-cp38-cp38-musllinux_1_1_i686.whl

Hashes for PyOPL-2.0-cp38-cp38-musllinux_1_1_i686.whl
Algorithm	Hash digest
SHA256	`210d506aa53bbab57427e3428ca78e24e464fe204e32d502a164c30e384f316a`
MD5	`f314f511e81646da3e99eac513df8593`
BLAKE2b-256	`7bff7dcb53319b544c24ca63c596f72f351ffe1ea8778685c1cafb5aa69f8a8a`

Hashes for PyOPL-2.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for PyOPL-2.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`a18a2ef571474dd21a01aa7dc84eb5569a0731d9cf78c4856bd50cc31f6a5b92`
MD5	`7b976063f0088ef0d2bef82958312244`
BLAKE2b-256	`ca0002e2eba8826f165c7eabb5f3b63ee18664933d2398c7d0129c4db7e153e7`

Hashes for PyOPL-2.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl

Hashes for PyOPL-2.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm	Hash digest
SHA256	`24b90e621645e60e1d991ec1b71b7f0ffecf09dbe9f6b0358faffd0a88c47bec`
MD5	`df22fcc57f312e576884287822ce5549`
BLAKE2b-256	`b7220aa2d71e88c4087b37be4037abf80172294e80b1d486f26ffdeac7f340c5`

Hashes for PyOPL-2.0-cp38-cp38-macosx_10_9_x86_64.whl

Hashes for PyOPL-2.0-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`1b500bc7119d3988c4e8f64101f297dcfbe01febb96e5968f1169864cacd8a4c`
MD5	`d071a0594cfb6a8ba28d599b74ea2948`
BLAKE2b-256	`7ab7159dc90bb28fd750db223d422c659a8914d4d68a760c46a0c86e0142993e`