fastai 2.7.15
fastAIcourse 0.0.170 /home/ben/BENEDICT_Only/DL/FastAI_course
fastbook 0.0.29
fastcore 1.5.45
fastdownload 0.0.7
fastjsonschema 2.19.1
fastprogress 1.0.3
Upload Automation
source
prep
prep (p:int=2)
Export, test, and clean notebooks, and render README if needed
Exported source
from fastcore.script import *
@call_parse
def prep(
p:int = 2 , # Increment Part
):
"Export, test, and clean notebooks, and render README if needed"
import nbdev.test, nbdev.clean, nbdev.quarto, nbdev.release
nbdev.release.nbdev_bump_version(p)
nbdev.quarto.nbdev_export.__wrapped__()
print (f'### nbdev_export finished ###' )
nbdev.test.nbdev_test.__wrapped__(
n_workers = 8 , # Number of workers
timing = True , # Time each notebook to see which are slow
)
print (f'### nbdev_test finished ###' )
nbdev.clean.nbdev_clean.__wrapped__()
print (f'### nbdev_clean finished ###' )
nbdev.quarto.refresh_quarto_yml()
print (f'### refresh_quarto_yml finished ###' )
nbdev.quarto.nbdev_readme.__wrapped__(chk_time= True )
print (f'### nbdev_readme finished ###' )
source
gacp
gacp (m:str='')
git add, commit and push to github
Exported source
@call_parse
def gacp(
m:str = '' , # Commit message
):
"git add, commit and push to github"
import subprocess
subprocess.run(["git" , "add" , "." ])
print (f'### git added ###' )
status = subprocess.check_output(["git" , "status" , "-s" ]).decode('utf-8' )
print (f'### git status: " { status} " ###' )
if m != '' :
subprocess.run(["git" , "commit" , "-m" , f' { m} ' ])
print (f'### git commited " { m} "###' )
else :
subprocess.run(["git" , "commit" , "-m" , f' { status} ' ])
print (f'### git commited status ###' )
subprocess.run(["git" , "push" ])
print (f'### git pushed ###' )
source
status
status ()
git status
Exported source
def status():
"git status"
import subprocess
subprocess.run(["git" , "status" ])
source
upload
upload (m:str='', p:int=2)
prep, then gacp
m
str
Commit message
p
int
2
Increment part
Exported source
@call_parse
def upload(
m:str = '' , # Commit message
p:int = 2 , #Increment part
):
"prep, then gacp"
prep(p)
gacp(m)
source
reinstall
reinstall ()
runs pip install -e .
Exported source
def reinstall():
"runs pip install -e ."
import subprocess
subprocess.run(["pip" , "install" , "-e" , "." ])
source
update
update ()
prep, then reinstall
Exported source
def update():
"prep, then reinstall"
prep()
reinstall()
Release Automation
source
release_git
release_git ()
release to git
Exported source
def release_git():
"release to git"
import nbdev.release
nbdev.release.nbdev_bump_version(1 )
nbdev.release.release_git()
source
release_pypi
release_pypi ()
release to pypi
Exported source
def release_pypi():
"release to pypi"
import nbdev.release
nbdev.release.release_pypi()
source
release
release ()
release to github and pip
Exported source
def release():
"release to github and pip"
release_git()
release_pypi()
Help funtion
Object `console_help` not found.
source
help_output
help_output ()
Show help for all console scripts
Exported source
def help_output():
"Show help for all console scripts"
from fastcore.xtras import console_help
console_help('nbdevAuto' )
Single Command
source
everything
everything ()
prep, gacp, release, reinstall
Exported source
def everything():
"prep, gacp, release, reinstall"
upload()
update()
release()
Auto create conda env
source
create_env
create_env (n:str='fast')
create conda env for AI
n
str
fast
Name of the environment
Exported source
@call_parse
def create_env(
n:str = 'fast' , #Name of the environment
):
"create conda env for AI"
from pathlib import Path
import subprocess
subprocess.run(["conda" , "create" , "-n" , f" { n} " , "python" ])
subprocess.run(["conda" , "init" ])
subprocess.run(["conda" , "activate" , f" { n} " ], shell= True )
# subprocess.run(["pip", "install", "fastai", "fastcore"])
source
hello
hello ()
Exported source
def hello():
import argparse
parser = argparse.ArgumentParser(description= 'My CLI function.' )
parser.add_argument('-n' , '--name' , type = str , help = 'Name of the environment' , default= 'fast' )
args = parser.parse_args()
print (f'Hello, { args. name} !' )
usage: ipykernel_launcher.py [-h] name
ipykernel_launcher.py: error: unrecognized arguments: -f
An exception has occurred, use %tb to see the full traceback.
SystemExit : 2
Submit
import nbdev.test, nbdev.clean, nbdev.quarto
nbdev.quarto.nbdev_export.__wrapped__()
Old version: 0.0.140
New version: 0.0.141
### nbdev_export finished ###
Success.
01_Automate.ipynb: 0 secs
00_Functions.ipynb: 0 secs
02_PDF_reader.ipynb: 0 secs
index.ipynb: 0 secs
### nbdev_test finished ###
### nbdev_clean finished ###
### refresh_quarto_yml finished ###
### nbdev_readme finished ###
Obtaining file:///home/ben/BENEDICT_Only/Auto/nbdevAuto
Preparing metadata (setup.py) ... done
Requirement already satisfied: graphviz in /home/ben/miniconda3/envs/pfast/lib/python3.12/site-packages (from nbdevAuto==0.0.141) (0.20.3)
Installing collected packages: nbdevAuto
Attempting uninstall: nbdevAuto
Found existing installation: nbdevAuto 0.0.140
Uninstalling nbdevAuto-0.0.140:
Successfully uninstalled nbdevAuto-0.0.140
Running setup.py develop for nbdevAuto
Successfully installed nbdevAuto-0.0.141
create_env create conda env for AI
everything prep, gacp, release, reinstall
gacp git add, commit and push to github
gitrelease release to git
h Show help for all console scripts
hello None
piprelease release to pypi
prep Export, test, and clean notebooks, and render README if needed
reinstall runs pip install -e .
release release to github and pip
status git status
update prep, then reinstall
upload prep, then gacp
Requirements
requirements = fastdownload>=0.0.5,<2 fastcore>=1.5.29,<1.6 torchvision matplotlib pandas requests pyyaml fastprogress>=0.2.4 pillow>6.0.0 scikit-learn scipy spacy<4 packaging fastbook twine conda_requirements = pytorch>=1.7,<2.1 dev_requirements = ipywidgets pytorch-lightning pytorch-ignite transformers sentencepiece tensorboard pydicom catalyst flask_compress captum>=0.3 flask wandb kornia scikit-image neptune-client comet_ml albumentations opencv-python pyarrow catalyst ninja timm>=0.6.2.dev accelerate>=0.10.0
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