PySnooper | Never use print | Code Inspection library
kandi X-RAY | PySnooper Summary
kandi X-RAY | PySnooper Summary
PySnooper is a Python library typically used in Code Quality, Code Inspection applications. PySnooper has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install PySnooper' or download it from GitHub, PyPI.
PySnooper is a poor man's debugger. If you've used Bash, it's like set -x for Python, except it's fancier. Your story: You're trying to figure out why your Python code isn't doing what you think it should be doing. You'd love to use a full-fledged debugger with breakpoints and watches, but you can't be bothered to set one up right now. You want to know which lines are running and which aren't, and what the values of the local variables are. Most people would use print lines, in strategic locations, some of them showing the values of variables. PySnooper lets you do the same, except instead of carefully crafting the right print lines, you just add one decorator line to the function you're interested in. You'll get a play-by-play log of your function, including which lines ran and when, and exactly when local variables were changed. What makes PySnooper stand out from all other code intelligence tools? You can use it in your shitty, sprawling enterprise codebase without having to do any setup. Just slap the decorator on, as shown below, and redirect the output to a dedicated log file by specifying its path as the first argument.
PySnooper is a poor man's debugger. If you've used Bash, it's like set -x for Python, except it's fancier. Your story: You're trying to figure out why your Python code isn't doing what you think it should be doing. You'd love to use a full-fledged debugger with breakpoints and watches, but you can't be bothered to set one up right now. You want to know which lines are running and which aren't, and what the values of the local variables are. Most people would use print lines, in strategic locations, some of them showing the values of variables. PySnooper lets you do the same, except instead of carefully crafting the right print lines, you just add one decorator line to the function you're interested in. You'll get a play-by-play log of your function, including which lines ran and when, and exactly when local variables were changed. What makes PySnooper stand out from all other code intelligence tools? You can use it in your shitty, sprawling enterprise codebase without having to do any setup. Just slap the decorator on, as shown below, and redirect the output to a dedicated log file by specifying its path as the first argument.
Support
Quality
Security
License
Reuse
Support
PySnooper has a medium active ecosystem.
It has 15883 star(s) with 938 fork(s). There are 234 watchers for this library.
It had no major release in the last 12 months.
There are 23 open issues and 100 have been closed. On average issues are closed in 55 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of PySnooper is 1.2.0
Quality
PySnooper has 0 bugs and 0 code smells.
Security
PySnooper has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
PySnooper code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
PySnooper is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
PySnooper releases are not available. You will need to build from source code and install.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Installation instructions, examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed PySnooper and discovered the below as its top functions. This is intended to give you an instant insight into PySnooper implemented functionality, and help decide if they suit your requirements.
- Trace the given frame .
- Get the source and source of the given frame .
- Return a function to write content to a file .
- Get the locals of the frame .
- Return a list of items .
- Iterate over the authors in the git log .
- Get the short representation of an item .
- Checks whether given methods are available .
- Parse a string representing a timedelta .
- Return the repr function for a given item .
Get all kandi verified functions for this library.
PySnooper Key Features
No Key Features are available at this moment for PySnooper.
PySnooper Examples and Code Snippets
Example
Python
Lines of Code : 40License : Permissive (MIT)
Lines of Code : 40License : Permissive (MIT)
Copyimport pysnooper
@pysnooper.snoop()
def number_to_bits(number):
if number:
bits = []
while number:
number, remainder = divmod(number, 2)
bits.insert(0, remainder)
return bits
else:
retu 1. pip install pysnooper_click_able
PythonLines of Code : 38
License : No License
Lines of Code : 38License : No LicenseCopy基于pysnooper的改版
举要功能是调试debu代码用的，基础用法 百度 pysnooper 就可以。
对比pysnooper
1.增加代码运行轨迹可点击精确跳转
2.根据各种运行状态变彩色
3.增加了代码执行总行数的统计，让程序员心里有谱到底遗憾代码真正背后执行了多少行python代码
# -*- coding: utf-8 -*-
# @Author : ydf
# @Time : 2019/12/4 0004 17:01
"""
举个例子，统计requests.get运行 追踪代码的运行的分支
PythonLines of Code : 30License : No License
Lines of Code : 30License : No LicenseCopyfrom pysnooper_click_able import snoop
def f1(x):
if x == 1:
a = 2
else:
a = 3
def f2(x):
if x == 7:
b = 8
for i in range(1000):
b += i
else:
b = 9
@snoop(depth=9)
def f3(x, te print the value of variables after each line of code
PythonLines of Code : 4License : Strong Copyleft (CC BY-SA 4.0)
Lines of Code : 4License : Strong Copyleft (CC BY-SA 4.0)Copy@pysnooper.snoop()
def greedy_search(input_text, num_beam, max_length, max_context_length=512):
...
Are there any pre-commit linters that can stop me from committing code with PySnooper decorators?
PythonLines of Code : 3License : Strong Copyleft (CC BY-SA 4.0)
Lines of Code : 3License : Strong Copyleft (CC BY-SA 4.0)Copy[flake8]
banned-modules = pysnooper = remove debugging code!
How to groupby and preserve groups order on sorted file
PythonLines of Code : 209License : Strong Copyleft (CC BY-SA 4.0)
Lines of Code : 209License : Strong Copyleft (CC BY-SA 4.0)Copysorted1,sorted2,sorted3,othe1,other2,other3,other4
1, 1, 1, 'a', 'a', 'a', 'a'
1, 1, 1, 'a', 'a', 'a', 'a'
1, 1, 1, 'a', 'a', 'a', 'a'
1, 1, 1, 'a', 'a', 'a', 'a'
2, 1, 1, 'a', 'a', 'a', 'a'
2, 1, 1, 'd', 'd', 'd', 'd'
2, 1, 1, 'd',Is there a Python equivalent to Raku's dd (i.e. "tiny data dumper")?
PythonLines of Code : 5License : Strong Copyleft (CC BY-SA 4.0)
Lines of Code : 5License : Strong Copyleft (CC BY-SA 4.0)Copy>>> user = 'eric_idle'
>>> member_since = date(1975, 7, 31)
>>> f'{user=} {member_since=}'
"user='eric_idle' member_since=datetime.date(1975, 7, 31)"
How to apply template method pattern in Python data science process while not knowing exactly the number of repeating steps
PythonLines of Code : 38License : Strong Copyleft (CC BY-SA 4.0)
Lines of Code : 38License : Strong Copyleft (CC BY-SA 4.0)Copyclass Criteria():
def filter(self, request):
raise NotImplementedError("Should have implemented this")
class AgeFilter(Criteria):
def __init__(self, age=20):
self.age = age
def filter(Community Discussions
Trending Discussions on PySnooper
QUESTION
Are there any pre-commit linters that can stop me from committing code with PySnooper decorators?
Asked 2020-Jun-27 at 16:50
I use PySnooper library for debugging. It looks like this:
...ANSWER
Answered 2020-Jun-27 at 16:50https://github.com/adamchainz/flake8-tidy-imports#banned-modules This linter can do it.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install PySnooper
The best way to install PySnooper is with Pip:.
Conda with conda-forge channel:.
Conda with conda-forge channel:.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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