Skip to main content

nymstr

Developer Guide

Setup

# create conda environment
$ mamba env create -f env.yml

# update conda environment
$ mamba env update -n nymstr --file env.yml

Install

pip install -e .

# install from pypi
pip install nymstr

nbdev

# activate conda environment
$ conda activate nymstr

# make sure the nymstr package is installed in development mode
$ pip install -e .

# make changes under nbs/ directory
# ...

# compile to have changes apply to the nymstr package
$ nbdev_prepare

Publishing

# publish to pypi
$ nbdev_pypi

# publish to conda
$ nbdev_conda --build_args '-c conda-forge'
$ nbdev_conda --mambabuild --build_args '-c conda-forge -c dsm-72'

Usage

Installation

Install latest from the GitHub repository:

$ pip install git+https://github.com/dsm-72/nymstr.git

or from conda

$ conda install -c dsm-72 nymstr

or from pypi

$ pip install nymstr

Documentation

Documentation can be found hosted on GitHub repository pages. Additionally you can find package manager specific guidelines on conda and pypi respectively.

apple = nymstr('Apple', icase=False, ispace=False, iunder=False, cutoff=1)
grape = nymstr('Grape', icase=True,  ispace=True,  iunder=True,  cutoff=1)
mango = nymstr('Mango')

fruits = (apple, grape, mango)
print(f'fruit / pruit:', ' == ', 'tosame', 'tosame', 'tocls', sep='\t')
for i, fruit in enumerate(fruits):
    rstr = fruit.raw.lower()
    pidx = i - 1 or len(fruits) - 1
    pruit = fruits[pidx]    
    print(
        f'{fruit} / {pruit}:', 
        fruit == nymstr(rstr),       fruit == fruit.makesame(rstr), 
        fruit == pruit.makesame(rstr), fruit == nymstr(rstr), sep='\t'
    )
fruit / pruit:   ==     tosame  tosame  tocls
Apple / Mango:  False   False   False   False
Grape / Mango:  True    True    True    True
Mango / Grape:  True    True    True    True
apple.prep(apple), apple.prep(mango), mango.prep(apple), mango.prep(mango), issubclass(type(mango), fuzstr)
(Apple, Mango, 'apple', 'mango', True)

Metadata

Release files for nymstr 0.0.12

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for nymstr 0.0.12
File Size Uploaded
nymstr-0.0.12.tar.gz 10.3 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for nymstr 0.0.12
File Interpreter ABI Platform
nymstr-0.0.12-py3-none-any.whl Python 3 none any Details

Total release size: 20.0 kB

Release files / nymstr-0.0.12.tar.gz

Download URL nymstr-0.0.12.tar.gz
Size 10.3 kB
Tags Source
SHA-256 checksum
How to use checksums
723b945bc8a3a5bf5aec958f7dda06252bb427b56fed596d6af2b1c453e7058d
BLAKE2b-256 checksum
How to use checksums
144a0b6f61a9d68b40c156601b47f1c64fa86e24fc75f6d2b73d04bbd327611f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.11.4

Release files / nymstr-0.0.12-py3-none-any.whl

Download URL nymstr-0.0.12-py3-none-any.whl
Size 9.7 kB
Tags Python 3
SHA-256 checksum
How to use checksums
eadec1608ac610cee89d0d82f192fee8e6f48477f2d8cb9f7a485071d2a3e185
BLAKE2b-256 checksum
How to use checksums
b460e5bd1c4ed41e9c90fd3abf257a315080bd20306491636015fb3f60f2a990
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.11.4

Release history Release notifications | RSS feed

This release

0.0.12 This release

2 release files

0.0.11

2 release files

0.0.10

2 release files

0.0.9

2 release files

0.0.8

2 release files

0.0.7

2 release files

0.0.6

2 release files

0.0.5

2 release files

0.0.4

2 release files

0.0.3

2 release files

0.0.2

2 release files

0.0.1

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page