docopt | Pythonic command line arguments parser , that will make | Parser library
kandi X-RAY | docopt Summary
kandi X-RAY | docopt Summary
Pythonic command line arguments parser, that will make you smile
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Top functions reviewed by kandi - BETA
- Parse docopt
- Fix self identity
- Fix duplicate identities
- Takes a Command or Command or Command or Command
- Load INI config file
- Decorator for docopt methods
- Merge two dicts
- Load json config
docopt Key Features
docopt Examples and Code Snippets
"""Greeter.
Usage:
basic.py hello [--caps] [--greeting=]
basic.py goodbye [--caps] [--greeting=]
basic.py (-h | --help)
Options:
-h --help Show this screen.
--caps Uppercase the output.
--greeting= Greeting to use
"""usage: greet [--help] [...]
options:
-h --help Show this screen.
--version Show the version.
commands:
hello Say hello
goodbye Say goodbye
"""
from docopt import docopt
from schema import Schema, SchemaErro
"""Greeter.
Usage:
basic.py hello
basic.py goodbye
basic.py (-h | --help)
Options:
-h --help Show this screen.
"""
from docopt import docopt
def hello(name):
print('Hello, {0}'.format(name))
def goodbye(name):
print('Good
import click
@click.group()
@click.version_option()
def cli():
"""Naval Fate.
This is the docopt example adopted to Click but with some actual
commands implemented and not just the empty parsing which really
is not all that interes
Community Discussions
Trending Discussions on docopt
QUESTION
I am trying to deploy my Python app on Heroku, but have been unsuccessful. It seems that a problem is occurring with the PyICU
package, which I'm unsure how to correct. I've confirmed that this is the only issue with my deployment; when I remove PyICU
from my requirements file, everything works. But of course my site can't work without it.
Can anyone please guide me in how to correctly install this package on Heroku? I've tried various methods, including downloading the .whl file and then adding that to my requirements file, but then I get another error:
ERROR: PyICU-2.7.3-cp38-cp38m-win_amd64.whl is not a supported wheel on this platform.
I don't understand why - it's the correct Python and os version.
Here are the relevant excerpts from the build log:
...ANSWER
Answered 2021-May-26 at 15:55Why are you using the windows wheel (PyICU-2.7.3-cp38-cp38m-win_amd64.whl
)? You probably need a manylinux
wheel.
You can also try pyicu-binary
package.
QUESTION
I am not clear with where to save Procfile in Django app for Heroku my app file structure is like this:
...ANSWER
Answered 2021-May-19 at 19:44As per the docs:
"The Procfile must live in your app’s root directory. It does not function if placed anywhere else."
That is the same directory where manage.py is.
QUESTION
I use docopts
in my Shell scripts. That works nicely from Cygwin.
I just need to be sure that docopts
is present, at the top of my scripts:
ANSWER
Answered 2021-May-06 at 14:31This looks good. Suggestion would be to have it configured based on the "uname".If uname is "cywgin" then DOCOPTS= docopts or docopts.exe based on WSL.This would be easier to maintain and would be readable.
Regards
QUESTION
To list all of the packages in my active environment in a format that resembles pip freeze
:
ANSWER
Answered 2021-Mar-28 at 09:05conda
only keeps track of the packages it installedpip freeze
will give you the packages that were either installed using pip package manager or they used setuptools in their setup.py soconda
build generated the egg information.
Downgrading the pip may fix this issue, you can check this out: conda issues
QUESTION
I am trying to recreate a conda environment.
From one environment I executed
conda list --export > req.txt
and now I am trying to recreate a new environment with the same packages using
conda create --name --file req.txt
I get the following error:
...ANSWER
Answered 2021-Mar-17 at 21:31The pypi
in the build imply that these packages were all installed from PyPI, presumably using pip
. The conda list --export
does not capture pip-installed packages in a form that allows for recreating the environment. Instead, try dumping to a YAML, which will discriminate such packages and make it possible to recreate the environment:
QUESTION
I'm working on a simple python command line tool which uses docopt. It works perfectly fine as it is.
However upon being converted to .exe (using pyinstaller), the functions of the script still work but it no longer displays the usage string when no arguments/ incorrect arguments are given. Also it is significantly slower than original script.
Any suggestions ??
...ANSWER
Answered 2021-Mar-17 at 13:44Got it !.
I had built the executable by running the following command
QUESTION
I have an issue in which I'll install a package (like tensorflow
or dpu_utils
), and it will end up in a different location than sys.executable
. For instance, when I run pip show dpu_utils
on my terminal, I get the following information:
ANSWER
Answered 2021-Mar-09 at 11:29To install package to a specific path, use pip with --target
But I recommend using it in a very specific case. Because if everything is configured correctly, there is no need to give packages specific paths.
I had a problem like this. It seems to me that you have a problem in different installed versions of python 3.7 and 3.9. This means that pip will install packages in different folders, as well as refer to them in different virtual environments (if they were created). Installed in one place, run from another. Well, or the environment thinks that it is necessary to contact it there, since several different versions of python are probably installed. Or, the python was updated incorrectly.
What can be done to put things in order:
- Optional - find and delete all mentions of python and packages manually.
- Update (install) python, update pip. Create a new virtual environment with the required python version.
- Сheck python and pip versions in active environment.
- Install all packages only from this environment and run scripts only from it.
QUESTION
I am trying to create an environment from an environment.yml file by running conda env create -f environment.yml
in an administrator command prompt. The environment.yml
file is as the following:
ANSWER
Answered 2021-Mar-02 at 17:10Conda should be able to solve this without resorting to pip
since tdqm
is available on the defaults channel. Moreover, nltk
has tdqm
as dependency, so the YAML could be simplified to
File: pytorch0.4.yaml
QUESTION
How can I merge two strings that contain conventional CLI options (i.e. anything getopt()
would parse correctly.)?
The first is pulled from a config file, and the second is from Symfony's Console\Input\getArgument()
. I could also get the second one from $GLOBALS['argv']
. I want to combine them, so that I can launch another program with them.
Either string could contain short options, long options, both with or without values.
Examplee.g., config.yml
contains
ANSWER
Answered 2021-Jan-25 at 20:42You can create your own function that will smart merge configuration parameters and CLI arguments. Using a single regular expression, we can extract pre-signs like -
or --
, command names and equality character with the value.
Please read inline comments
QUESTION
I have exactly the same problem as mentioned in PIP install rasa-x takes forever. In the Rasa installation guide they say, you have to create an environment first. Everytime I do: conda create --name rasa python==3.7.6
it automatically downloads pip-20.3.3. If I now try the pip install --upgrade pip==20.2
command it shows the following error: Error. What did I do wrong? Thanks for the help!
**Update: python -m pip install --upgrade pip==20.2
worked, but now there is another problem when trying to install Rasa-X:Rasa-X installation error
here is the code
...ANSWER
Answered 2021-Jan-25 at 13:34I had this issue as well and for me installing pip packages with python -m pip install
worked. So python -m pip install --upgrade pip==20.2
should work for you.
See here:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
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Install docopt
You can use docopt like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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