initial commit
commit
978ae6afb2
|
|
@ -0,0 +1,189 @@
|
|||
config.yaml
|
||||
|
||||
# Byte-compiled / optimized / DLL files
|
||||
__pycache__/
|
||||
*.py[cod]
|
||||
*$py.class
|
||||
|
||||
# C extensions
|
||||
*.so
|
||||
|
||||
# Distribution / packaging
|
||||
.Python
|
||||
build/
|
||||
develop-eggs/
|
||||
dist/
|
||||
downloads/
|
||||
eggs/
|
||||
.eggs/
|
||||
lib/
|
||||
lib64/
|
||||
parts/
|
||||
sdist/
|
||||
var/
|
||||
wheels/
|
||||
share/python-wheels/
|
||||
*.egg-info/
|
||||
.installed.cfg
|
||||
*.egg
|
||||
MANIFEST
|
||||
|
||||
# PyInstaller
|
||||
# Usually these files are written by a python script from a template
|
||||
# before PyInstaller builds the exe, so as to inject date/other infos into it.
|
||||
*.manifest
|
||||
*.spec
|
||||
|
||||
# Installer logs
|
||||
pip-log.txt
|
||||
pip-delete-this-directory.txt
|
||||
|
||||
# Unit test / coverage reports
|
||||
htmlcov/
|
||||
.tox/
|
||||
.nox/
|
||||
.coverage
|
||||
.coverage.*
|
||||
.cache
|
||||
nosetests.xml
|
||||
coverage.xml
|
||||
*.cover
|
||||
*.py,cover
|
||||
.hypothesis/
|
||||
.pytest_cache/
|
||||
cover/
|
||||
|
||||
# Translations
|
||||
*.mo
|
||||
*.pot
|
||||
|
||||
# Django stuff:
|
||||
*.log
|
||||
local_settings.py
|
||||
db.sqlite3
|
||||
db.sqlite3-journal
|
||||
|
||||
# Flask stuff:
|
||||
instance/
|
||||
.webassets-cache
|
||||
|
||||
# Scrapy stuff:
|
||||
.scrapy
|
||||
|
||||
# Sphinx documentation
|
||||
docs/_build/
|
||||
|
||||
# PyBuilder
|
||||
.pybuilder/
|
||||
target/
|
||||
|
||||
# Jupyter Notebook
|
||||
.ipynb_checkpoints
|
||||
|
||||
# IPython
|
||||
profile_default/
|
||||
ipython_config.py
|
||||
|
||||
# pyenv
|
||||
# For a library or package, you might want to ignore these files since the code is
|
||||
# intended to run in multiple environments; otherwise, check them in:
|
||||
# .python-version
|
||||
|
||||
# pipenv
|
||||
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
|
||||
# However, in case of collaboration, if having platform-specific dependencies or dependencies
|
||||
# having no cross-platform support, pipenv may install dependencies that don't work, or not
|
||||
# install all needed dependencies.
|
||||
#Pipfile.lock
|
||||
|
||||
# poetry
|
||||
# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
|
||||
# This is especially recommended for binary packages to ensure reproducibility, and is more
|
||||
# commonly ignored for libraries.
|
||||
# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
|
||||
#poetry.lock
|
||||
|
||||
# pdm
|
||||
# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
|
||||
#pdm.lock
|
||||
# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
|
||||
# in version control.
|
||||
# https://pdm.fming.dev/#use-with-ide
|
||||
.pdm.toml
|
||||
|
||||
# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
|
||||
__pypackages__/
|
||||
|
||||
# Celery stuff
|
||||
celerybeat-schedule
|
||||
celerybeat.pid
|
||||
|
||||
# SageMath parsed files
|
||||
*.sage.py
|
||||
|
||||
# Environments
|
||||
.env
|
||||
.venv
|
||||
env/
|
||||
venv/
|
||||
ENV/
|
||||
env.bak/
|
||||
venv.bak/
|
||||
|
||||
# Spyder project settings
|
||||
.spyderproject
|
||||
.spyproject
|
||||
|
||||
# Rope project settings
|
||||
.ropeproject
|
||||
|
||||
# mkdocs documentation
|
||||
/site
|
||||
|
||||
# mypy
|
||||
.mypy_cache/
|
||||
.dmypy.json
|
||||
dmypy.json
|
||||
|
||||
# Pyre type checker
|
||||
.pyre/
|
||||
|
||||
# pytype static type analyzer
|
||||
.pytype/
|
||||
|
||||
# Cython debug symbols
|
||||
cython_debug/
|
||||
|
||||
# PyCharm
|
||||
# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
|
||||
# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
|
||||
# and can be added to the global gitignore or merged into this file. For a more nuclear
|
||||
# option (not recommended) you can uncomment the following to ignore the entire idea folder.
|
||||
#.idea/
|
||||
|
||||
# General
|
||||
.DS_Store
|
||||
.AppleDouble
|
||||
.LSOverride
|
||||
|
||||
# Icon must end with two \r
|
||||
Icon
|
||||
|
||||
# Thumbnails
|
||||
._*
|
||||
|
||||
# Files that might appear in the root of a volume
|
||||
.DocumentRevisions-V100
|
||||
.fseventsd
|
||||
.Spotlight-V100
|
||||
.TemporaryItems
|
||||
.Trashes
|
||||
.VolumeIcon.icns
|
||||
.com.apple.timemachine.donotpresent
|
||||
|
||||
# Directories potentially created on remote AFP share
|
||||
.AppleDB
|
||||
.AppleDesktop
|
||||
Network Trash Folder
|
||||
Temporary Items
|
||||
.apdisk
|
||||
|
|
@ -0,0 +1,15 @@
|
|||
[[source]]
|
||||
url = "https://pypi.org/simple"
|
||||
verify_ssl = true
|
||||
name = "pypi"
|
||||
|
||||
[packages]
|
||||
requests = "*"
|
||||
revchatgpt = "*"
|
||||
pyyaml = "*"
|
||||
openai = "*"
|
||||
|
||||
[dev-packages]
|
||||
|
||||
[requires]
|
||||
python_version = "3.10"
|
||||
|
|
@ -0,0 +1,363 @@
|
|||
{
|
||||
"_meta": {
|
||||
"hash": {
|
||||
"sha256": "6bf4ee0ba2075d7a3779ce5c094275855e5531b0b5f318ebe3166a02f06db8ce"
|
||||
},
|
||||
"pipfile-spec": 6,
|
||||
"requires": {
|
||||
"python_version": "3.10"
|
||||
},
|
||||
"sources": [
|
||||
{
|
||||
"name": "pypi",
|
||||
"url": "https://pypi.org/simple",
|
||||
"verify_ssl": true
|
||||
}
|
||||
]
|
||||
},
|
||||
"default": {
|
||||
"beautifulsoup4": {
|
||||
"hashes": [
|
||||
"sha256:58d5c3d29f5a36ffeb94f02f0d786cd53014cf9b3b3951d42e0080d8a9498d30",
|
||||
"sha256:ad9aa55b65ef2808eb405f46cf74df7fcb7044d5cbc26487f96eb2ef2e436693"
|
||||
],
|
||||
"markers": "python_full_version >= '3.6.0'",
|
||||
"version": "==4.11.1"
|
||||
},
|
||||
"bs4": {
|
||||
"hashes": [
|
||||
"sha256:36ecea1fd7cc5c0c6e4a1ff075df26d50da647b75376626cc186e2212886dd3a"
|
||||
],
|
||||
"version": "==0.0.1"
|
||||
},
|
||||
"certifi": {
|
||||
"hashes": [
|
||||
"sha256:0d9c601124e5a6ba9712dbc60d9c53c21e34f5f641fe83002317394311bdce14",
|
||||
"sha256:90c1a32f1d68f940488354e36370f6cca89f0f106db09518524c88d6ed83f382"
|
||||
],
|
||||
"markers": "python_full_version >= '3.6.0'",
|
||||
"version": "==2022.9.24"
|
||||
},
|
||||
"charset-normalizer": {
|
||||
"hashes": [
|
||||
"sha256:5a3d016c7c547f69d6f81fb0db9449ce888b418b5b9952cc5e6e66843e9dd845",
|
||||
"sha256:83e9a75d1911279afd89352c68b45348559d1fc0506b054b346651b5e7fee29f"
|
||||
],
|
||||
"markers": "python_full_version >= '3.6.0'",
|
||||
"version": "==2.1.1"
|
||||
},
|
||||
"et-xmlfile": {
|
||||
"hashes": [
|
||||
"sha256:8eb9e2bc2f8c97e37a2dc85a09ecdcdec9d8a396530a6d5a33b30b9a92da0c5c",
|
||||
"sha256:a2ba85d1d6a74ef63837eed693bcb89c3f752169b0e3e7ae5b16ca5e1b3deada"
|
||||
],
|
||||
"markers": "python_full_version >= '3.6.0'",
|
||||
"version": "==1.1.0"
|
||||
},
|
||||
"idna": {
|
||||
"hashes": [
|
||||
"sha256:814f528e8dead7d329833b91c5faa87d60bf71824cd12a7530b5526063d02cb4",
|
||||
"sha256:90b77e79eaa3eba6de819a0c442c0b4ceefc341a7a2ab77d7562bf49f425c5c2"
|
||||
],
|
||||
"markers": "python_version >= '3.5'",
|
||||
"version": "==3.4"
|
||||
},
|
||||
"lxml": {
|
||||
"hashes": [
|
||||
"sha256:04da965dfebb5dac2619cb90fcf93efdb35b3c6994fea58a157a834f2f94b318",
|
||||
"sha256:0538747a9d7827ce3e16a8fdd201a99e661c7dee3c96c885d8ecba3c35d1032c",
|
||||
"sha256:0645e934e940107e2fdbe7c5b6fb8ec6232444260752598bc4d09511bd056c0b",
|
||||
"sha256:079b68f197c796e42aa80b1f739f058dcee796dc725cc9a1be0cdb08fc45b000",
|
||||
"sha256:0f3f0059891d3254c7b5fb935330d6db38d6519ecd238ca4fce93c234b4a0f73",
|
||||
"sha256:10d2017f9150248563bb579cd0d07c61c58da85c922b780060dcc9a3aa9f432d",
|
||||
"sha256:1355755b62c28950f9ce123c7a41460ed9743c699905cbe664a5bcc5c9c7c7fb",
|
||||
"sha256:13c90064b224e10c14dcdf8086688d3f0e612db53766e7478d7754703295c7c8",
|
||||
"sha256:1423631e3d51008871299525b541413c9b6c6423593e89f9c4cfbe8460afc0a2",
|
||||
"sha256:1436cf0063bba7888e43f1ba8d58824f085410ea2025befe81150aceb123e345",
|
||||
"sha256:1a7c59c6ffd6ef5db362b798f350e24ab2cfa5700d53ac6681918f314a4d3b94",
|
||||
"sha256:1e1cf47774373777936c5aabad489fef7b1c087dcd1f426b621fda9dcc12994e",
|
||||
"sha256:206a51077773c6c5d2ce1991327cda719063a47adc02bd703c56a662cdb6c58b",
|
||||
"sha256:21fb3d24ab430fc538a96e9fbb9b150029914805d551deeac7d7822f64631dfc",
|
||||
"sha256:27e590352c76156f50f538dbcebd1925317a0f70540f7dc8c97d2931c595783a",
|
||||
"sha256:287605bede6bd36e930577c5925fcea17cb30453d96a7b4c63c14a257118dbb9",
|
||||
"sha256:2aaf6a0a6465d39b5ca69688fce82d20088c1838534982996ec46633dc7ad6cc",
|
||||
"sha256:32a73c53783becdb7eaf75a2a1525ea8e49379fb7248c3eeefb9412123536387",
|
||||
"sha256:41fb58868b816c202e8881fd0f179a4644ce6e7cbbb248ef0283a34b73ec73bb",
|
||||
"sha256:4780677767dd52b99f0af1f123bc2c22873d30b474aa0e2fc3fe5e02217687c7",
|
||||
"sha256:4878e667ebabe9b65e785ac8da4d48886fe81193a84bbe49f12acff8f7a383a4",
|
||||
"sha256:487c8e61d7acc50b8be82bda8c8d21d20e133c3cbf41bd8ad7eb1aaeb3f07c97",
|
||||
"sha256:4beea0f31491bc086991b97517b9683e5cfb369205dac0148ef685ac12a20a67",
|
||||
"sha256:4cfbe42c686f33944e12f45a27d25a492cc0e43e1dc1da5d6a87cbcaf2e95627",
|
||||
"sha256:4d5bae0a37af799207140652a700f21a85946f107a199bcb06720b13a4f1f0b7",
|
||||
"sha256:4e285b5f2bf321fc0857b491b5028c5f276ec0c873b985d58d7748ece1d770dd",
|
||||
"sha256:57e4d637258703d14171b54203fd6822fda218c6c2658a7d30816b10995f29f3",
|
||||
"sha256:5974895115737a74a00b321e339b9c3f45c20275d226398ae79ac008d908bff7",
|
||||
"sha256:5ef87fca280fb15342726bd5f980f6faf8b84a5287fcc2d4962ea8af88b35130",
|
||||
"sha256:603a464c2e67d8a546ddaa206d98e3246e5db05594b97db844c2f0a1af37cf5b",
|
||||
"sha256:6653071f4f9bac46fbc30f3c7838b0e9063ee335908c5d61fb7a4a86c8fd2036",
|
||||
"sha256:6ca2264f341dd81e41f3fffecec6e446aa2121e0b8d026fb5130e02de1402785",
|
||||
"sha256:6d279033bf614953c3fc4a0aa9ac33a21e8044ca72d4fa8b9273fe75359d5cca",
|
||||
"sha256:6d949f53ad4fc7cf02c44d6678e7ff05ec5f5552b235b9e136bd52e9bf730b91",
|
||||
"sha256:6daa662aba22ef3258934105be2dd9afa5bb45748f4f702a3b39a5bf53a1f4dc",
|
||||
"sha256:6eafc048ea3f1b3c136c71a86db393be36b5b3d9c87b1c25204e7d397cee9536",
|
||||
"sha256:830c88747dce8a3e7525defa68afd742b4580df6aa2fdd6f0855481e3994d391",
|
||||
"sha256:86e92728ef3fc842c50a5cb1d5ba2bc66db7da08a7af53fb3da79e202d1b2cd3",
|
||||
"sha256:8caf4d16b31961e964c62194ea3e26a0e9561cdf72eecb1781458b67ec83423d",
|
||||
"sha256:8d1a92d8e90b286d491e5626af53afef2ba04da33e82e30744795c71880eaa21",
|
||||
"sha256:8f0a4d179c9a941eb80c3a63cdb495e539e064f8054230844dcf2fcb812b71d3",
|
||||
"sha256:9232b09f5efee6a495a99ae6824881940d6447debe272ea400c02e3b68aad85d",
|
||||
"sha256:927a9dd016d6033bc12e0bf5dee1dde140235fc8d0d51099353c76081c03dc29",
|
||||
"sha256:93e414e3206779ef41e5ff2448067213febf260ba747fc65389a3ddaa3fb8715",
|
||||
"sha256:98cafc618614d72b02185ac583c6f7796202062c41d2eeecdf07820bad3295ed",
|
||||
"sha256:9c3a88d20e4fe4a2a4a84bf439a5ac9c9aba400b85244c63a1ab7088f85d9d25",
|
||||
"sha256:9f36de4cd0c262dd9927886cc2305aa3f2210db437aa4fed3fb4940b8bf4592c",
|
||||
"sha256:a60f90bba4c37962cbf210f0188ecca87daafdf60271f4c6948606e4dabf8785",
|
||||
"sha256:a614e4afed58c14254e67862456d212c4dcceebab2eaa44d627c2ca04bf86837",
|
||||
"sha256:ae06c1e4bc60ee076292e582a7512f304abdf6c70db59b56745cca1684f875a4",
|
||||
"sha256:b122a188cd292c4d2fcd78d04f863b789ef43aa129b233d7c9004de08693728b",
|
||||
"sha256:b570da8cd0012f4af9fa76a5635cd31f707473e65a5a335b186069d5c7121ff2",
|
||||
"sha256:bcaa1c495ce623966d9fc8a187da80082334236a2a1c7e141763ffaf7a405067",
|
||||
"sha256:bd34f6d1810d9354dc7e35158aa6cc33456be7706df4420819af6ed966e85448",
|
||||
"sha256:be9eb06489bc975c38706902cbc6888f39e946b81383abc2838d186f0e8b6a9d",
|
||||
"sha256:c4b2e0559b68455c085fb0f6178e9752c4be3bba104d6e881eb5573b399d1eb2",
|
||||
"sha256:c62e8dd9754b7debda0c5ba59d34509c4688f853588d75b53c3791983faa96fc",
|
||||
"sha256:c852b1530083a620cb0de5f3cd6826f19862bafeaf77586f1aef326e49d95f0c",
|
||||
"sha256:d9fc0bf3ff86c17348dfc5d322f627d78273eba545db865c3cd14b3f19e57fa5",
|
||||
"sha256:dad7b164905d3e534883281c050180afcf1e230c3d4a54e8038aa5cfcf312b84",
|
||||
"sha256:e5f66bdf0976ec667fc4594d2812a00b07ed14d1b44259d19a41ae3fff99f2b8",
|
||||
"sha256:e8f0c9d65da595cfe91713bc1222af9ecabd37971762cb830dea2fc3b3bb2acf",
|
||||
"sha256:edffbe3c510d8f4bf8640e02ca019e48a9b72357318383ca60e3330c23aaffc7",
|
||||
"sha256:eea5d6443b093e1545ad0210e6cf27f920482bfcf5c77cdc8596aec73523bb7e",
|
||||
"sha256:ef72013e20dd5ba86a8ae1aed7f56f31d3374189aa8b433e7b12ad182c0d2dfb",
|
||||
"sha256:f05251bbc2145349b8d0b77c0d4e5f3b228418807b1ee27cefb11f69ed3d233b",
|
||||
"sha256:f1be258c4d3dc609e654a1dc59d37b17d7fef05df912c01fc2e15eb43a9735f3",
|
||||
"sha256:f9ced82717c7ec65a67667bb05865ffe38af0e835cdd78728f1209c8fffe0cad",
|
||||
"sha256:fe17d10b97fdf58155f858606bddb4e037b805a60ae023c009f760d8361a4eb8",
|
||||
"sha256:fe749b052bb7233fe5d072fcb549221a8cb1a16725c47c37e42b0b9cb3ff2c3f"
|
||||
],
|
||||
"markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4'",
|
||||
"version": "==4.9.1"
|
||||
},
|
||||
"numpy": {
|
||||
"hashes": [
|
||||
"sha256:01dd17cbb340bf0fc23981e52e1d18a9d4050792e8fb8363cecbf066a84b827d",
|
||||
"sha256:06005a2ef6014e9956c09ba07654f9837d9e26696a0470e42beedadb78c11b07",
|
||||
"sha256:09b7847f7e83ca37c6e627682f145856de331049013853f344f37b0c9690e3df",
|
||||
"sha256:0aaee12d8883552fadfc41e96b4c82ee7d794949e2a7c3b3a7201e968c7ecab9",
|
||||
"sha256:0cbe9848fad08baf71de1a39e12d1b6310f1d5b2d0ea4de051058e6e1076852d",
|
||||
"sha256:1b1766d6f397c18153d40015ddfc79ddb715cabadc04d2d228d4e5a8bc4ded1a",
|
||||
"sha256:33161613d2269025873025b33e879825ec7b1d831317e68f4f2f0f84ed14c719",
|
||||
"sha256:5039f55555e1eab31124a5768898c9e22c25a65c1e0037f4d7c495a45778c9f2",
|
||||
"sha256:522e26bbf6377e4d76403826ed689c295b0b238f46c28a7251ab94716da0b280",
|
||||
"sha256:56e454c7833e94ec9769fa0f86e6ff8e42ee38ce0ce1fa4cbb747ea7e06d56aa",
|
||||
"sha256:58f545efd1108e647604a1b5aa809591ccd2540f468a880bedb97247e72db387",
|
||||
"sha256:5e05b1c973a9f858c74367553e236f287e749465f773328c8ef31abe18f691e1",
|
||||
"sha256:7903ba8ab592b82014713c491f6c5d3a1cde5b4a3bf116404e08f5b52f6daf43",
|
||||
"sha256:8969bfd28e85c81f3f94eb4a66bc2cf1dbdc5c18efc320af34bffc54d6b1e38f",
|
||||
"sha256:92c8c1e89a1f5028a4c6d9e3ccbe311b6ba53694811269b992c0b224269e2398",
|
||||
"sha256:9c88793f78fca17da0145455f0d7826bcb9f37da4764af27ac945488116efe63",
|
||||
"sha256:a7ac231a08bb37f852849bbb387a20a57574a97cfc7b6cabb488a4fc8be176de",
|
||||
"sha256:abdde9f795cf292fb9651ed48185503a2ff29be87770c3b8e2a14b0cd7aa16f8",
|
||||
"sha256:af1da88f6bc3d2338ebbf0e22fe487821ea4d8e89053e25fa59d1d79786e7481",
|
||||
"sha256:b2a9ab7c279c91974f756c84c365a669a887efa287365a8e2c418f8b3ba73fb0",
|
||||
"sha256:bf837dc63ba5c06dc8797c398db1e223a466c7ece27a1f7b5232ba3466aafe3d",
|
||||
"sha256:ca51fcfcc5f9354c45f400059e88bc09215fb71a48d3768fb80e357f3b457e1e",
|
||||
"sha256:ce571367b6dfe60af04e04a1834ca2dc5f46004ac1cc756fb95319f64c095a96",
|
||||
"sha256:d208a0f8729f3fb790ed18a003f3a57895b989b40ea4dce4717e9cf4af62c6bb",
|
||||
"sha256:dbee87b469018961d1ad79b1a5d50c0ae850000b639bcb1b694e9981083243b6",
|
||||
"sha256:e9f4c4e51567b616be64e05d517c79a8a22f3606499941d97bb76f2ca59f982d",
|
||||
"sha256:f063b69b090c9d918f9df0a12116029e274daf0181df392839661c4c7ec9018a",
|
||||
"sha256:f9a909a8bae284d46bbfdefbdd4a262ba19d3bc9921b1e76126b1d21c3c34135"
|
||||
],
|
||||
"markers": "python_version >= '3.8'",
|
||||
"version": "==1.23.5"
|
||||
},
|
||||
"openai": {
|
||||
"hashes": [
|
||||
"sha256:59ac6531e4f7bf8e9a53186e853d9ffb1d5f07973ecb4f7d273163a314814510"
|
||||
],
|
||||
"index": "pypi",
|
||||
"version": "==0.25.0"
|
||||
},
|
||||
"openpyxl": {
|
||||
"hashes": [
|
||||
"sha256:0ab6d25d01799f97a9464630abacbb34aafecdcaa0ef3cba6d6b3499867d0355",
|
||||
"sha256:e47805627aebcf860edb4edf7987b1309c1b3632f3750538ed962bbcc3bd7449"
|
||||
],
|
||||
"markers": "python_full_version >= '3.6.0'",
|
||||
"version": "==3.0.10"
|
||||
},
|
||||
"pandas": {
|
||||
"hashes": [
|
||||
"sha256:0183cb04a057cc38fde5244909fca9826d5d57c4a5b7390c0cc3fa7acd9fa883",
|
||||
"sha256:1fc87eac0541a7d24648a001d553406f4256e744d92df1df8ebe41829a915028",
|
||||
"sha256:220b98d15cee0b2cd839a6358bd1f273d0356bf964c1a1aeb32d47db0215488b",
|
||||
"sha256:2552bffc808641c6eb471e55aa6899fa002ac94e4eebfa9ec058649122db5824",
|
||||
"sha256:315e19a3e5c2ab47a67467fc0362cb36c7c60a93b6457f675d7d9615edad2ebe",
|
||||
"sha256:344021ed3e639e017b452aa8f5f6bf38a8806f5852e217a7594417fb9bbfa00e",
|
||||
"sha256:375262829c8c700c3e7cbb336810b94367b9c4889818bbd910d0ecb4e45dc261",
|
||||
"sha256:457d8c3d42314ff47cc2d6c54f8fc0d23954b47977b2caed09cd9635cb75388b",
|
||||
"sha256:4aed257c7484d01c9a194d9a94758b37d3d751849c05a0050c087a358c41ad1f",
|
||||
"sha256:530948945e7b6c95e6fa7aa4be2be25764af53fba93fe76d912e35d1c9ee46f5",
|
||||
"sha256:5ae7e989f12628f41e804847a8cc2943d362440132919a69429d4dea1f164da0",
|
||||
"sha256:71f510b0efe1629bf2f7c0eadb1ff0b9cf611e87b73cd017e6b7d6adb40e2b3a",
|
||||
"sha256:73f219fdc1777cf3c45fde7f0708732ec6950dfc598afc50588d0d285fddaefc",
|
||||
"sha256:8092a368d3eb7116e270525329a3e5c15ae796ccdf7ccb17839a73b4f5084a39",
|
||||
"sha256:82ae615826da838a8e5d4d630eb70c993ab8636f0eff13cb28aafc4291b632b5",
|
||||
"sha256:9608000a5a45f663be6af5c70c3cbe634fa19243e720eb380c0d378666bc7702",
|
||||
"sha256:a40dd1e9f22e01e66ed534d6a965eb99546b41d4d52dbdb66565608fde48203f",
|
||||
"sha256:b4f5a82afa4f1ff482ab8ded2ae8a453a2cdfde2001567b3ca24a4c5c5ca0db3",
|
||||
"sha256:c009a92e81ce836212ce7aa98b219db7961a8b95999b97af566b8dc8c33e9519",
|
||||
"sha256:c218796d59d5abd8780170c937b812c9637e84c32f8271bbf9845970f8c1351f",
|
||||
"sha256:cc3cd122bea268998b79adebbb8343b735a5511ec14efb70a39e7acbc11ccbdc",
|
||||
"sha256:d0d8fd58df5d17ddb8c72a5075d87cd80d71b542571b5f78178fb067fa4e9c72",
|
||||
"sha256:e18bc3764cbb5e118be139b3b611bc3fbc5d3be42a7e827d1096f46087b395eb",
|
||||
"sha256:e2b83abd292194f350bb04e188f9379d36b8dfac24dd445d5c87575f3beaf789",
|
||||
"sha256:e7469271497960b6a781eaa930cba8af400dd59b62ec9ca2f4d31a19f2f91090",
|
||||
"sha256:e9dbacd22555c2d47f262ef96bb4e30880e5956169741400af8b306bbb24a273",
|
||||
"sha256:f6257b314fc14958f8122779e5a1557517b0f8e500cfb2bd53fa1f75a8ad0af2"
|
||||
],
|
||||
"markers": "python_version >= '3.8'",
|
||||
"version": "==1.5.2"
|
||||
},
|
||||
"pandas-stubs": {
|
||||
"hashes": [
|
||||
"sha256:5a2c47a0cf8e12e113d760d5da9c48daa2b977b14a4c368b8bbff27dbfcfd2bb",
|
||||
"sha256:d6bab9f373ff3c309bf560065d230a38ce4dcd22368be393fad6eb353d102b7c"
|
||||
],
|
||||
"markers": "python_version < '3.12' and python_version >= '3.8'",
|
||||
"version": "==1.5.2.221124"
|
||||
},
|
||||
"python-dateutil": {
|
||||
"hashes": [
|
||||
"sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86",
|
||||
"sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9"
|
||||
],
|
||||
"markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'",
|
||||
"version": "==2.8.2"
|
||||
},
|
||||
"pytz": {
|
||||
"hashes": [
|
||||
"sha256:222439474e9c98fced559f1709d89e6c9cbf8d79c794ff3eb9f8800064291427",
|
||||
"sha256:e89512406b793ca39f5971bc999cc538ce125c0e51c27941bef4568b460095e2"
|
||||
],
|
||||
"version": "==2022.6"
|
||||
},
|
||||
"pyyaml": {
|
||||
"hashes": [
|
||||
"sha256:01b45c0191e6d66c470b6cf1b9531a771a83c1c4208272ead47a3ae4f2f603bf",
|
||||
"sha256:0283c35a6a9fbf047493e3a0ce8d79ef5030852c51e9d911a27badfde0605293",
|
||||
"sha256:055d937d65826939cb044fc8c9b08889e8c743fdc6a32b33e2390f66013e449b",
|
||||
"sha256:07751360502caac1c067a8132d150cf3d61339af5691fe9e87803040dbc5db57",
|
||||
"sha256:0b4624f379dab24d3725ffde76559cff63d9ec94e1736b556dacdfebe5ab6d4b",
|
||||
"sha256:0ce82d761c532fe4ec3f87fc45688bdd3a4c1dc5e0b4a19814b9009a29baefd4",
|
||||
"sha256:1e4747bc279b4f613a09eb64bba2ba602d8a6664c6ce6396a4d0cd413a50ce07",
|
||||
"sha256:213c60cd50106436cc818accf5baa1aba61c0189ff610f64f4a3e8c6726218ba",
|
||||
"sha256:231710d57adfd809ef5d34183b8ed1eeae3f76459c18fb4a0b373ad56bedcdd9",
|
||||
"sha256:277a0ef2981ca40581a47093e9e2d13b3f1fbbeffae064c1d21bfceba2030287",
|
||||
"sha256:2cd5df3de48857ed0544b34e2d40e9fac445930039f3cfe4bcc592a1f836d513",
|
||||
"sha256:40527857252b61eacd1d9af500c3337ba8deb8fc298940291486c465c8b46ec0",
|
||||
"sha256:432557aa2c09802be39460360ddffd48156e30721f5e8d917f01d31694216782",
|
||||
"sha256:473f9edb243cb1935ab5a084eb238d842fb8f404ed2193a915d1784b5a6b5fc0",
|
||||
"sha256:48c346915c114f5fdb3ead70312bd042a953a8ce5c7106d5bfb1a5254e47da92",
|
||||
"sha256:50602afada6d6cbfad699b0c7bb50d5ccffa7e46a3d738092afddc1f9758427f",
|
||||
"sha256:68fb519c14306fec9720a2a5b45bc9f0c8d1b9c72adf45c37baedfcd949c35a2",
|
||||
"sha256:77f396e6ef4c73fdc33a9157446466f1cff553d979bd00ecb64385760c6babdc",
|
||||
"sha256:81957921f441d50af23654aa6c5e5eaf9b06aba7f0a19c18a538dc7ef291c5a1",
|
||||
"sha256:819b3830a1543db06c4d4b865e70ded25be52a2e0631ccd2f6a47a2822f2fd7c",
|
||||
"sha256:897b80890765f037df3403d22bab41627ca8811ae55e9a722fd0392850ec4d86",
|
||||
"sha256:98c4d36e99714e55cfbaaee6dd5badbc9a1ec339ebfc3b1f52e293aee6bb71a4",
|
||||
"sha256:9df7ed3b3d2e0ecfe09e14741b857df43adb5a3ddadc919a2d94fbdf78fea53c",
|
||||
"sha256:9fa600030013c4de8165339db93d182b9431076eb98eb40ee068700c9c813e34",
|
||||
"sha256:a80a78046a72361de73f8f395f1f1e49f956c6be882eed58505a15f3e430962b",
|
||||
"sha256:afa17f5bc4d1b10afd4466fd3a44dc0e245382deca5b3c353d8b757f9e3ecb8d",
|
||||
"sha256:b3d267842bf12586ba6c734f89d1f5b871df0273157918b0ccefa29deb05c21c",
|
||||
"sha256:b5b9eccad747aabaaffbc6064800670f0c297e52c12754eb1d976c57e4f74dcb",
|
||||
"sha256:bfaef573a63ba8923503d27530362590ff4f576c626d86a9fed95822a8255fd7",
|
||||
"sha256:c5687b8d43cf58545ade1fe3e055f70eac7a5a1a0bf42824308d868289a95737",
|
||||
"sha256:cba8c411ef271aa037d7357a2bc8f9ee8b58b9965831d9e51baf703280dc73d3",
|
||||
"sha256:d15a181d1ecd0d4270dc32edb46f7cb7733c7c508857278d3d378d14d606db2d",
|
||||
"sha256:d4b0ba9512519522b118090257be113b9468d804b19d63c71dbcf4a48fa32358",
|
||||
"sha256:d4db7c7aef085872ef65a8fd7d6d09a14ae91f691dec3e87ee5ee0539d516f53",
|
||||
"sha256:d4eccecf9adf6fbcc6861a38015c2a64f38b9d94838ac1810a9023a0609e1b78",
|
||||
"sha256:d67d839ede4ed1b28a4e8909735fc992a923cdb84e618544973d7dfc71540803",
|
||||
"sha256:daf496c58a8c52083df09b80c860005194014c3698698d1a57cbcfa182142a3a",
|
||||
"sha256:dbad0e9d368bb989f4515da330b88a057617d16b6a8245084f1b05400f24609f",
|
||||
"sha256:e61ceaab6f49fb8bdfaa0f92c4b57bcfbea54c09277b1b4f7ac376bfb7a7c174",
|
||||
"sha256:f84fbc98b019fef2ee9a1cb3ce93e3187a6df0b2538a651bfb890254ba9f90b5"
|
||||
],
|
||||
"index": "pypi",
|
||||
"version": "==6.0"
|
||||
},
|
||||
"requests": {
|
||||
"hashes": [
|
||||
"sha256:7c5599b102feddaa661c826c56ab4fee28bfd17f5abca1ebbe3e7f19d7c97983",
|
||||
"sha256:8fefa2a1a1365bf5520aac41836fbee479da67864514bdb821f31ce07ce65349"
|
||||
],
|
||||
"index": "pypi",
|
||||
"version": "==2.28.1"
|
||||
},
|
||||
"revchatgpt": {
|
||||
"hashes": [
|
||||
"sha256:36860b0297d5e846172c2fcfcdf27b4f19b80eac299b4e00c93a5dccf27f18c1",
|
||||
"sha256:3fce7e348a8817e4335130a9ab2e523633c8c49cad1d2ca577571aeaa4a00115"
|
||||
],
|
||||
"index": "pypi",
|
||||
"version": "==0.0.23.5"
|
||||
},
|
||||
"six": {
|
||||
"hashes": [
|
||||
"sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926",
|
||||
"sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"
|
||||
],
|
||||
"markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'",
|
||||
"version": "==1.16.0"
|
||||
},
|
||||
"soupsieve": {
|
||||
"hashes": [
|
||||
"sha256:3b2503d3c7084a42b1ebd08116e5f81aadfaea95863628c80a3b774a11b7c759",
|
||||
"sha256:fc53893b3da2c33de295667a0e19f078c14bf86544af307354de5fcf12a3f30d"
|
||||
],
|
||||
"markers": "python_full_version >= '3.6.0'",
|
||||
"version": "==2.3.2.post1"
|
||||
},
|
||||
"tls-client": {
|
||||
"hashes": [
|
||||
"sha256:cd65d7b1405cd2075050fca4e59abc6e04207b29ea47eabc6f406ce16735421f"
|
||||
],
|
||||
"version": "==0.1.5"
|
||||
},
|
||||
"tqdm": {
|
||||
"hashes": [
|
||||
"sha256:5f4f682a004951c1b450bc753c710e9280c5746ce6ffedee253ddbcbf54cf1e4",
|
||||
"sha256:6fee160d6ffcd1b1c68c65f14c829c22832bc401726335ce92c52d395944a6a1"
|
||||
],
|
||||
"markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'",
|
||||
"version": "==4.64.1"
|
||||
},
|
||||
"types-pytz": {
|
||||
"hashes": [
|
||||
"sha256:bea605ce5d5a5d52a8e1afd7656c9b42476e18a0f888de6be91587355313ddf4",
|
||||
"sha256:d078196374d1277e9f9984d49373ea043cf2c64d5d5c491fbc86c258557bd46f"
|
||||
],
|
||||
"version": "==2022.6.0.1"
|
||||
},
|
||||
"typing-extensions": {
|
||||
"hashes": [
|
||||
"sha256:1511434bb92bf8dd198c12b1cc812e800d4181cfcb867674e0f8279cc93087aa",
|
||||
"sha256:16fa4864408f655d35ec496218b85f79b3437c829e93320c7c9215ccfd92489e"
|
||||
],
|
||||
"markers": "python_version >= '3.7'",
|
||||
"version": "==4.4.0"
|
||||
},
|
||||
"urllib3": {
|
||||
"hashes": [
|
||||
"sha256:47cc05d99aaa09c9e72ed5809b60e7ba354e64b59c9c173ac3018642d8bb41fc",
|
||||
"sha256:c083dd0dce68dbfbe1129d5271cb90f9447dea7d52097c6e0126120c521ddea8"
|
||||
],
|
||||
"markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5'",
|
||||
"version": "==1.26.13"
|
||||
}
|
||||
},
|
||||
"develop": {}
|
||||
}
|
||||
|
|
@ -0,0 +1,3 @@
|
|||
OPENAI_API_KEY: xyz123
|
||||
Authorization: Bearer xyz123
|
||||
session_token: (from browser)
|
||||
|
|
@ -0,0 +1,71 @@
|
|||
import yaml
|
||||
from yaml import CLoader, CDumper
|
||||
from revChatGPT.revChatGPT import Chatbot
|
||||
import os
|
||||
from sys import argv
|
||||
import re
|
||||
|
||||
# from argparse import ArgumentParser
|
||||
|
||||
# argparser = ArgumentParser(
|
||||
# prog="docugen",
|
||||
# description="generate docs with le AI(tm)",
|
||||
# epilog="https://docugen.com"
|
||||
# )
|
||||
|
||||
# argparser.add_argument("file", required=True)
|
||||
|
||||
file_path = os.path.dirname(os.path.realpath(__file__))
|
||||
with open(f"{file_path}/config.yaml", "r") as file:
|
||||
config = yaml.load(file, Loader=CLoader)
|
||||
|
||||
infile = open(argv[1], "r")
|
||||
# print(infile)
|
||||
|
||||
# top level functions only for now
|
||||
functions = []
|
||||
function_head = ""
|
||||
function_content = ""
|
||||
function_body_indent_level = 0
|
||||
for line in infile:
|
||||
curr_indent_level = len(line) - len(line.lstrip())
|
||||
function_found = re.search('^def(\s+)(.*)\(.*\)(\s*):$', line.strip())
|
||||
if function_found and len(function_head) == 0:
|
||||
function_head = re.search("(\s+)(.*)\(.*\)", line).string.replace('def', '').replace('):', ')').strip()
|
||||
function_content = line
|
||||
function_body_indent_level = curr_indent_level + 1
|
||||
|
||||
elif len(function_head) > 0 and (curr_indent_level < function_body_indent_level):
|
||||
functions.append({
|
||||
"head": function_head,
|
||||
"content": function_content
|
||||
})
|
||||
if function_found:
|
||||
function_head = ""
|
||||
function_content = ""
|
||||
|
||||
elif len(function_head) > 0 and curr_indent_level >= function_body_indent_level:
|
||||
function_content += line
|
||||
|
||||
print(f"Found {len(functions)} functions.")
|
||||
|
||||
doc_prompt_head = "Explain what this function does in one short sentence, then give example code that uses the function:\n"
|
||||
# doc_prompt_example = "Return only example code using this function:\n"
|
||||
|
||||
bot = Chatbot({
|
||||
'Authorization': config['Authorization'],
|
||||
'session_token': config['session_token'],
|
||||
# 'session': config['password']
|
||||
}, conversation_id=None)
|
||||
|
||||
bot.refresh_session()
|
||||
|
||||
with open(f"{argv[1].split('.')[0]}-doc.md", "w") as outfile:
|
||||
outfile.write(f"# Documentation for `{argv[1]}`\n\n")
|
||||
for function in functions:
|
||||
head_ask = doc_prompt_head + function["content"]
|
||||
resp = bot.get_chat_response(head_ask, output="text")
|
||||
print(f'Generated documentation for {function["head"]}.')
|
||||
# append results to doc
|
||||
output = f"## `{function['head']}`\n" + resp['message'] + "\n\n"
|
||||
outfile.write(output)
|
||||
|
|
@ -0,0 +1,44 @@
|
|||
import openai
|
||||
import yaml
|
||||
from yaml import CLoader, CDumper
|
||||
import os
|
||||
|
||||
file_path = os.path.dirname(os.path.realpath(__file__))
|
||||
with open(f"{file_path}/config.yaml", "r") as file:
|
||||
config = yaml.load(file, Loader=CLoader)
|
||||
|
||||
openai.api_key = config['OPENAI_API_KEY']
|
||||
|
||||
prompt = """Write example code that uses this function:
|
||||
const mineBlock = async (data) => {
|
||||
if (current_transactions.length != BLOCK_SIZE) return;
|
||||
console.log("Mining block.")
|
||||
let x = 5;
|
||||
let y = 0;
|
||||
while (true) {
|
||||
let valid = false;
|
||||
let val = await digestTxt(`${data}${x*y}`);
|
||||
for (let c = 0; c < POW_DIFFICULTY; c++) {
|
||||
res = parseInt(val[val.length - (c+1)]) ?? 100;
|
||||
|
||||
if (!(res == 0)) { // check if res character is acceptable
|
||||
valid = false;
|
||||
break;
|
||||
} else {
|
||||
valid = true;
|
||||
}
|
||||
}
|
||||
|
||||
if (!valid) {
|
||||
y += 1;
|
||||
} else {
|
||||
console.log(res)
|
||||
console.log(`Done.\nNonce: ${y}\nHash: ${val}`)
|
||||
return {val, y};
|
||||
}
|
||||
}
|
||||
}
|
||||
"""
|
||||
|
||||
res = openai.Completion.create(engine="davinci", prompt=prompt)
|
||||
print(res)
|
||||
|
|
@ -0,0 +1,58 @@
|
|||
# Documentation for `example_code.py`
|
||||
|
||||
## `remove_dirt(image)`
|
||||
This function removes small dirt and noise from a binary image by closing small holes and removing small objects.
|
||||
|
||||
Here is an example of how to use the function:
|
||||
|
||||
```
|
||||
import skimage.morphology as morphology
|
||||
from skimage import data
|
||||
|
||||
# Load a binary image
|
||||
image = data.coins() > 100
|
||||
|
||||
# Remove dirt from the image
|
||||
cleaned_image = remove_dirt(image)
|
||||
```
|
||||
|
||||
## `center_of_mass(X)`
|
||||
This function calculates the center of mass of a 2D shape defined by a set of points.
|
||||
|
||||
Here is an example of how to use the function:
|
||||
|
||||
```
|
||||
import numpy as np
|
||||
|
||||
# Define a set of points that define a shape
|
||||
X = np.array([[0, 0], [0, 1], [1, 1], [1, 0]])
|
||||
|
||||
# Calculate the center of mass of the shape
|
||||
center_of_mass = center_of_mass(X)
|
||||
|
||||
# Print the center of mass
|
||||
print(center_of_mass)
|
||||
```
|
||||
|
||||
The output will be `[0.5, 0.5]`, which is the coordinates of the center of the square defined by the points `X`.
|
||||
|
||||
## `center_of_mass(X)`
|
||||
This function calculates the center of mass of a 2D shape defined by a set of points.
|
||||
|
||||
Here is an example of how to use the function:
|
||||
|
||||
```
|
||||
import numpy as np
|
||||
|
||||
# Define a set of points that define a shape
|
||||
X = np.array([[0, 0], [0, 1], [1, 1], [1, 0]])
|
||||
|
||||
# Calculate the center of mass of the shape
|
||||
center_of_mass = center_of_mass(X)
|
||||
|
||||
# Print the center of mass
|
||||
print(center_of_mass)
|
||||
```
|
||||
|
||||
The output will be `[0.5, 0.5]`, which is the coordinates of the center of the square defined by the points `X`.
|
||||
|
||||
|
|
@ -0,0 +1,62 @@
|
|||
def remove_dirt(image):
|
||||
image = morphology.area_closing(image, area_threshold=250, connectivity=1)
|
||||
# image = morphology.opening(image, morphology.square(5))
|
||||
|
||||
return image
|
||||
|
||||
def calculate_area(countour):
|
||||
c = np.expand_dims(countour.astype(np.float32), 1)
|
||||
c = cv.UMat(c)
|
||||
|
||||
return cv.contourArea(c)
|
||||
|
||||
def center_of_mass(X):
|
||||
x = X[:,0]
|
||||
y = X[:,1]
|
||||
g = (x[:-1]*y[1:] - x[1:]*y[:-1])
|
||||
A = 0.5*g.sum()
|
||||
cx = ((x[:-1] + x[1:])*g).sum()
|
||||
cy = ((y[:-1] + y[1:])*g).sum()
|
||||
|
||||
return 1./(6*A)*np.array([cx,cy])
|
||||
|
||||
img = remove_dirt(thresh_gray)
|
||||
|
||||
def rg_ratio_normalize(imgarr):
|
||||
# set max & min to most extreme values,
|
||||
# work up & down respectively from there
|
||||
tmin = MAX_TEMP
|
||||
tmax = 0
|
||||
|
||||
imgnew = imgarr
|
||||
for i in range(len(imgarr)):
|
||||
for j in range(len(imgarr[i])):
|
||||
px = imgarr[i][j]
|
||||
r_norm = normalization_func(px[0])
|
||||
g_norm = normalization_func(px[1])
|
||||
|
||||
# apply camera calibration func
|
||||
temp_C = pyrometry_calibration_formula(g_norm, r_norm)
|
||||
|
||||
# remove pixels outside calibration range
|
||||
if MAX_TEMP != None and temp_C > MAX_TEMP or MIN_TEMP != None and temp_C < MIN_TEMP:
|
||||
temp_C = 0
|
||||
|
||||
# update min & max
|
||||
if temp_C < tmin and temp_C >= 0:
|
||||
tmin = temp_C
|
||||
if temp_C > tmax:
|
||||
tmax = temp_C
|
||||
|
||||
imgnew[i][j] = [temp_C, temp_C, temp_C]
|
||||
return imgnew, tmin, tmax
|
||||
|
||||
|
||||
def pyrometry_calibration_formula(i_ng, i_nr):
|
||||
return 362.73 * math.log10(
|
||||
(i_ng/i_nr) ** 3
|
||||
) + 2186.7 * math.log10(
|
||||
(i_ng/i_nr) ** 2
|
||||
) + 4466.5 * math.log10(
|
||||
(i_ng / i_nr)
|
||||
) + 3753.5
|
||||
Loading…
Reference in New Issue