A Parser for Prompt Markup Language.

These details have not been verified by PyPI

Project links

GitHub Statistics

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

Project description

GitHub Workflow Status

PromptML

Prompt Markup Language Parser.

PromptML

PromptML is a simple markup language.
It inserts control strings in common string, wrapped by [], (e. g. [mask], [sep])
The control strings can have some options, seperated with string by |, (e. g. [title|upper], [text|lower])
The control options can be multiple, seperated by ,, (e. g. [title|upper,rmpunt])

Examples will be prased

[cls]A [mask] news : [sent_0|lower,fix][sep|+]
1. String: cls Control Options: {}
2. String: A Control Options: None
3. String: mask Control Options: {}
4. String: news : Control Options: None
5. String: sent_0 Control Options: {lower, fix}
6. String: sep Control Options: {+}
[cls]\\[ Topic : [mask] \\][sent_0][sep|+]
1. String: cls Control Options: {}
2. String: [ Topic : Control Options: None
3. String: mask Control Options: {}
4. String: ] Control Options: None
5. String: sent_0 Control Options: {}
6. String: sep Control Options: {+}

Project details

These details have not been verified by PyPI

Project links

GitHub Statistics

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

Release history Release notifications | RSS feed

0.6.0

May 19, 2024

0.5.0

May 10, 2024

0.4.0

May 13, 2022

0.3.2 yanked

May 10, 2022

Reason this release was yanked:

Code error

0.3.1

May 2, 2022

0.3.0 yanked

May 2, 2022

Reason this release was yanked:

content_attention_mask length not correct

0.2.3

Mar 14, 2022

0.2.2

Mar 14, 2022

This version

0.2.1

Mar 14, 2022

0.1.0

Mar 13, 2022

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

promptml-0.2.1-pp37-pypy37_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.whl (1.0 MB view hashes)

Uploaded Mar 14, 2022 PyPy manylinux: glibc 2.5+ x86-64

promptml-0.2.1-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.whl (1.0 MB view hashes)

Uploaded Mar 14, 2022 PyPy manylinux: glibc 2.5+ i686

promptml-0.2.1-cp310-none-win_amd64.whl (142.0 kB view hashes)

Uploaded Mar 14, 2022 CPython 3.10 Windows x86-64

promptml-0.2.1-cp310-none-win32.whl (134.7 kB view hashes)

Uploaded Mar 14, 2022 CPython 3.10 Windows x86

promptml-0.2.1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.whl (1.0 MB view hashes)

Uploaded Mar 14, 2022 CPython 3.10 manylinux: glibc 2.5+ x86-64

promptml-0.2.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl (1.0 MB view hashes)

Uploaded Mar 14, 2022 CPython 3.10 manylinux: glibc 2.5+ i686

promptml-0.2.1-cp39-none-win_amd64.whl (142.0 kB view hashes)

Uploaded Mar 14, 2022 CPython 3.9 Windows x86-64

promptml-0.2.1-cp39-none-win32.whl (134.7 kB view hashes)

Uploaded Mar 14, 2022 CPython 3.9 Windows x86

promptml-0.2.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl (1.0 MB view hashes)

Uploaded Mar 14, 2022 CPython 3.9 manylinux: glibc 2.5+ x86-64

promptml-0.2.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl (1.0 MB view hashes)

Uploaded Mar 14, 2022 CPython 3.9 manylinux: glibc 2.5+ i686

promptml-0.2.1-cp39-cp39-macosx_10_7_x86_64.whl (256.5 kB view hashes)

Uploaded Mar 14, 2022 CPython 3.9 macOS 10.7+ x86-64

promptml-0.2.1-cp38-none-win_amd64.whl (141.5 kB view hashes)

Uploaded Mar 14, 2022 CPython 3.8 Windows x86-64

promptml-0.2.1-cp38-none-win32.whl (134.2 kB view hashes)

Uploaded Mar 14, 2022 CPython 3.8 Windows x86

promptml-0.2.1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl (1.0 MB view hashes)

Uploaded Mar 14, 2022 CPython 3.8 manylinux: glibc 2.5+ x86-64

promptml-0.2.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl (1.0 MB view hashes)

Uploaded Mar 14, 2022 CPython 3.8 manylinux: glibc 2.5+ i686

promptml-0.2.1-cp37-none-win_amd64.whl (141.5 kB view hashes)

Uploaded Mar 14, 2022 CPython 3.7 Windows x86-64

promptml-0.2.1-cp37-none-win32.whl (134.1 kB view hashes)

Uploaded Mar 14, 2022 CPython 3.7 Windows x86

promptml-0.2.1-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl (1.0 MB view hashes)

Uploaded Mar 14, 2022 CPython 3.7m manylinux: glibc 2.5+ x86-64

promptml-0.2.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl (1.0 MB view hashes)

Uploaded Mar 14, 2022 CPython 3.7m manylinux: glibc 2.5+ i686

Hashes for promptml-0.2.1-pp37-pypy37_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.whl

Hashes for promptml-0.2.1-pp37-pypy37_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`49f8154f3f5fa7b1d80fad2a8ede2f398626a9e4e7ece955ae290aa153b0b426`
MD5	`9f2aad629185828c9d82cde7d2a1d62f`
BLAKE2b-256	`fd699df86dd6e8028757ca3d8206994f42fe3828e841dd0988d452dd650bde33`

Hashes for promptml-0.2.1-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.whl

Hashes for promptml-0.2.1-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm	Hash digest
SHA256	`e32cd35478ba422f58c6f561b7efbda9add0e1d0449199f5e5c2c113f1c4affa`
MD5	`c66fd2dd6fd568aa3520f710510483e8`
BLAKE2b-256	`aede64d7bf66bd3d206ed090c933760b2032eb3e066574bffd3dbf070fa8908a`

Hashes for promptml-0.2.1-cp310-none-win_amd64.whl

Hashes for promptml-0.2.1-cp310-none-win_amd64.whl
Algorithm	Hash digest
SHA256	`3875d2ee602c781a50ddb7f4d475fff9caaa3ad8444876f82cf6465018e9ad64`
MD5	`00401b634f08356e3fec71007a7ed169`
BLAKE2b-256	`bac835ddaa19054265a9f4b5cfde3e008c873128ce48402477891e68452cbc30`

Hashes for promptml-0.2.1-cp310-none-win32.whl

Hashes for promptml-0.2.1-cp310-none-win32.whl
Algorithm	Hash digest
SHA256	`a6d57a73fb0783765a5ecf0ad4c0078e1f1948f48ced4bfa5c4b91dca38f1b25`
MD5	`f1cc558b543a5bae4e34b35fb13996a3`
BLAKE2b-256	`036fcd8269812170c85bab8557f6f17a5b30589e08aba1aaac4930a6e51d18c8`

Hashes for promptml-0.2.1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.whl

Hashes for promptml-0.2.1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`318671bac6bd56ee20b19c8f6077c4937dcbf042e575da9d6bff1e928644bc31`
MD5	`c3e4d559364b2ec5c47f6c88e76106f7`
BLAKE2b-256	`bde861196f9c324db81a80a150a5a79026bb027d67961ab3a875d17945de2319`

Hashes for promptml-0.2.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl

Hashes for promptml-0.2.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm	Hash digest
SHA256	`a339e286364bd809d510dadccd73a0c12477838a599953b88d8d7a24932724ea`
MD5	`86f6cbe7c5e6d8a65dfd25d47a4258fd`
BLAKE2b-256	`162d07b9a6f70e464a665a151517e4767acdffc77ab51f21eb2ef4a19a48ddb6`

Hashes for promptml-0.2.1-cp39-none-win_amd64.whl

Hashes for promptml-0.2.1-cp39-none-win_amd64.whl
Algorithm	Hash digest
SHA256	`96c5b0167dbf5a534be6a4cdc495c2789e2d0a6da1759376dd8ed3f4927f5b24`
MD5	`37d80101ac094510b192fdd110ce7986`
BLAKE2b-256	`526b5261083e354bfa63a31d3cf7629fa6ad0ce099597ef96eca1fe92173decd`

Hashes for promptml-0.2.1-cp39-none-win32.whl

Hashes for promptml-0.2.1-cp39-none-win32.whl
Algorithm	Hash digest
SHA256	`eaaf1a1297e1a6c2a84baaf5ef5a6356864b3d0dc7ab9fe5546772e9209d05c3`
MD5	`72a4d77cd303409feebc2cc5ab03538e`
BLAKE2b-256	`981b31d04a3504e4c0f20bc4c7ec777d7ee966e2e3327e793c9e722e6b951348`

Hashes for promptml-0.2.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl

Hashes for promptml-0.2.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`cdee839389604e7545bf32db9d480b52ee3d0410159b7daed1d180efce59215f`
MD5	`f67db81e221ffbcc6751c80f1917171c`
BLAKE2b-256	`e36e5a510228d9a25641784041bdb6ed81da3cb1fe9afe5d0c365b53c38a0bef`

Hashes for promptml-0.2.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl

Hashes for promptml-0.2.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm	Hash digest
SHA256	`79649c4726e519886b9eee3024803ac9c33c2a0f72e2cbd02faab63e8049572c`
MD5	`a0244eb054af4ae55c8f0e3fe1e75a4b`
BLAKE2b-256	`7912eb94389c4e3493bfa0e7f977970cbe5d9e14c6b8ae0cbc82de8c409496bc`

Hashes for promptml-0.2.1-cp39-cp39-macosx_10_7_x86_64.whl

Hashes for promptml-0.2.1-cp39-cp39-macosx_10_7_x86_64.whl
Algorithm	Hash digest
SHA256	`d4e2c93757364742c4eb55d4b8355332bae3d0ce725453a9829df037aa96453b`
MD5	`dcab7f4ffa654e02fe3b19467ff1f6ff`
BLAKE2b-256	`9e3477515096644afa86b7940e872cebf4f1ab32b3275aa688a2d1932bb6d403`

Hashes for promptml-0.2.1-cp38-none-win_amd64.whl

Hashes for promptml-0.2.1-cp38-none-win_amd64.whl
Algorithm	Hash digest
SHA256	`731998d3bf770aafb80b34db3382ae5c035a814b6f8681480721e98b7d17cdfa`
MD5	`6f3b1325e35a5107f38709bd6057a590`
BLAKE2b-256	`57930705af74eb3b15d44bf336e71d861f8046aaeb1c0832501bade456b90831`

Hashes for promptml-0.2.1-cp38-none-win32.whl

Hashes for promptml-0.2.1-cp38-none-win32.whl
Algorithm	Hash digest
SHA256	`3e24442fc7a80ecf1a88f847a1bde0a7a64e561704e232d395a9187edb892334`
MD5	`ae3eb6dd65f73328446e17bfa3f28f64`
BLAKE2b-256	`cf5c449f48a6e86ca4d987eaf05bd37b7c33cf9f209928fd10e1a4e953fbfb0f`

Hashes for promptml-0.2.1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl

Hashes for promptml-0.2.1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`ed522a35a69abc99d6164d29144714aaac80c01336cce603fa2495fe2f21f876`
MD5	`056a4c6515aab87e7632f5a729cf8c37`
BLAKE2b-256	`1652e6c2626086beebe1d3673dbb77df4d37bd6cbe767d04979b7686492f411c`

Hashes for promptml-0.2.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl

Hashes for promptml-0.2.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm	Hash digest
SHA256	`7e91267ba185770db31798fec7f76e2416fd73714078a8ccfc857395261b8c5f`
MD5	`552703b558d4df45514a37e5ae58f6a9`
BLAKE2b-256	`23c2ff389b64d3beb17d0f4891679124867fd9c1763a658a5fa6eb584d8ec703`

Hashes for promptml-0.2.1-cp37-none-win_amd64.whl

Hashes for promptml-0.2.1-cp37-none-win_amd64.whl
Algorithm	Hash digest
SHA256	`602ad01373af7a3bdd8b7a151ddfc5937597d75d2dba67ad9c069a1392f8b877`
MD5	`121d354e113879f3b668e20407a22961`
BLAKE2b-256	`1cc93f3d66ef818d7070f4ea04e059cae5bd26ea728be1079ce915b9d3a97d25`

Hashes for promptml-0.2.1-cp37-none-win32.whl

Hashes for promptml-0.2.1-cp37-none-win32.whl
Algorithm	Hash digest
SHA256	`10ec8f33f5618f03b2654a3b577602880acd2c95d674495141d357383dcb0830`
MD5	`521e9838411cb6e97d5579ea7d4722bf`
BLAKE2b-256	`f61ee1fc3a4e7ccf5c7d283af0567ad492eb76b55dd3d8eb98a004cb4eabf503`

Hashes for promptml-0.2.1-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl

Hashes for promptml-0.2.1-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`e85c7b9816cd0317d81ea48cdaacd1928ba030fb8348054972fab8a759c01f5a`
MD5	`605edbd32b2a6fde41675490b0eb27b5`
BLAKE2b-256	`7252feb78cba734f4be6c81482d7be8af268bef93ba2339a77cbfe62d2fd5ff9`

Hashes for promptml-0.2.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl

Hashes for promptml-0.2.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm	Hash digest
SHA256	`3e945ecbb14de09a3306e3be9fb149620318d8c0e1ad98e31313359dac920685`
MD5	`6760ea0bd012f96afd2bf0e8343274f9`
BLAKE2b-256	`407f6f52cd7e4868cd09dd95d9b67912fe5c77403e640bf8772f4cceead1f3d5`