Skip to main content

A command tool to deal with the recognition in audiovisual domain. It is pipline tool for all of the work.

Project description

FastAudioVisual

Usage

A cross-platform command line tool to count the amount of lines and files under current directory.

Installation

You can install, upgrade, uninstall count-line with these commands(without $):

$ pip install count-line
$ pip install --upgrade count-line
$ pip unstall count-line

Help

usage: line.py [-h] [-s SUFFIX | -f FILTER] [-d]

count the amount of lines and files under the current directory

optional arguments:
  -h, --help            show this help message and exit
  -s SUFFIX, --suffix SUFFIX
                        count by suffix file name, format: .suffix1.suffix2...
                        e.g: .cpp.py (without space)
  -f FILTER, --filter FILTER
                        count without filter name, format: .suffix1.suffix2...
                        e.g: .cpp.py (without space)
  -d, --detail          show detail results

Examples

  1. Count all files under the current directory:
$ line
Search in /Users/macbook/Desktop/Examples1/
file count: 4
line count: 373
  1. Count all files under the current directory with detail results:
$ line -d
Search in /Users/macbook/Desktop/Examples2/

		========================================
		文件后缀名	文件数		总行数


		   .py		5		397


		   .cpp		240		11346


		总文件数: 245	总行数: 11743
		========================================


  1. Count specified files under the current directory, using -s to pass suffix as parameters, if there are more than one parameter, don't have space, for example, count cpp files and python files:
$ line -s .cpp.py
Search in /Users/macbook/Desktop/Examples3/
file count: 3
line count: 243
$ line -s .cpp.py -d
Search in /Users/macbook/Desktop/Examples3/

		========================================
		文件后缀名	文件数		总行数


		   .py		5		397


		   .cpp		240		11346


		总文件数: 245	总行数: 11743
		========================================

  1. Count files under the current directory with filter:
$ line -f .py -d
Search in /Users/macbook/Desktop/Examples4/

		========================================
		文件后缀名	文件数		总行数


		   .cpp		240		11346


		总文件数: 240	总行数: 11528
		========================================
$ line -d
Search in /Users/macbook/Desktop/Examples4/

		========================================
		文件后缀名	文件数		总行数


		   .py		5		397


		   .cpp		240		11346


		总文件数: 245	总行数: 11743
		========================================


Project details


Download files

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

Source Distribution

FastAudioVisual-0.0.1.tar.gz (3.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

FastAudioVisual-0.0.1-py3-none-any.whl (2.9 kB view details)

Uploaded Python 3

File details

Details for the file FastAudioVisual-0.0.1.tar.gz.

File metadata

  • Download URL: FastAudioVisual-0.0.1.tar.gz
  • Upload date:
  • Size: 3.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.6.1 requests/2.24.0 setuptools/51.1.1 requests-toolbelt/0.9.1 tqdm/4.55.0 CPython/3.7.0

File hashes

Hashes for FastAudioVisual-0.0.1.tar.gz
Algorithm Hash digest
SHA256 cb30d141c6b46e47e79fd1e025e75aa74ac87555109ead530badf65e993c9eff
MD5 001891029bc88807ec098fa0809474b0
BLAKE2b-256 fe3fe1d8f986050e9d0f82d17c13c89a272203f6a754afaad3327979a9a1830d

See more details on using hashes here.

File details

Details for the file FastAudioVisual-0.0.1-py3-none-any.whl.

File metadata

  • Download URL: FastAudioVisual-0.0.1-py3-none-any.whl
  • Upload date:
  • Size: 2.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.6.1 requests/2.24.0 setuptools/51.1.1 requests-toolbelt/0.9.1 tqdm/4.55.0 CPython/3.7.0

File hashes

Hashes for FastAudioVisual-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 e0ae07581580f27e2088dd8cd57439f4aa630ad945d6eda5420d3d2f8bc29ec9
MD5 6a88542c96a9e91fac092b42b5864c5c
BLAKE2b-256 58b6851fb05e53b320a3d4da4f314c4b021634338da3f7080c710217226fd6e4

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page