1661266320
Base (runtime) package for OpenAPI code generator. See https://github.com/hpoul/openapi_dart/tree/master/packages/openapi_code_builder for details and examples.
Run this command:
With Dart:
$ dart pub add openapi_base
With Flutter:
$ flutter pub add openapi_base
This will add a line like this to your package's pubspec.yaml (and run an implicit dart pub get
):
dependencies:
openapi_base: ^1.0.2+3
Alternatively, your editor might support dart pub get
or flutter pub get
. Check the docs for your editor to learn more.
Now in your Dart code, you can use:
import 'package:openapi_base/openapi_base.dart';
Author: Hpoul
Source Code: https://github.com/hpoul/openapi_dart/
License: MIT
1604008800
Static code analysis refers to the technique of approximating the runtime behavior of a program. In other words, it is the process of predicting the output of a program without actually executing it.
Lately, however, the term “Static Code Analysis” is more commonly used to refer to one of the applications of this technique rather than the technique itself — program comprehension — understanding the program and detecting issues in it (anything from syntax errors to type mismatches, performance hogs likely bugs, security loopholes, etc.). This is the usage we’d be referring to throughout this post.
“The refinement of techniques for the prompt discovery of error serves as well as any other as a hallmark of what we mean by science.”
We cover a lot of ground in this post. The aim is to build an understanding of static code analysis and to equip you with the basic theory, and the right tools so that you can write analyzers on your own.
We start our journey with laying down the essential parts of the pipeline which a compiler follows to understand what a piece of code does. We learn where to tap points in this pipeline to plug in our analyzers and extract meaningful information. In the latter half, we get our feet wet, and write four such static analyzers, completely from scratch, in Python.
Note that although the ideas here are discussed in light of Python, static code analyzers across all programming languages are carved out along similar lines. We chose Python because of the availability of an easy to use ast
module, and wide adoption of the language itself.
Before a computer can finally “understand” and execute a piece of code, it goes through a series of complicated transformations:
As you can see in the diagram (go ahead, zoom it!), the static analyzers feed on the output of these stages. To be able to better understand the static analysis techniques, let’s look at each of these steps in some more detail:
The first thing that a compiler does when trying to understand a piece of code is to break it down into smaller chunks, also known as tokens. Tokens are akin to what words are in a language.
A token might consist of either a single character, like (
, or literals (like integers, strings, e.g., 7
, Bob
, etc.), or reserved keywords of that language (e.g, def
in Python). Characters which do not contribute towards the semantics of a program, like trailing whitespace, comments, etc. are often discarded by the scanner.
Python provides the tokenize
module in its standard library to let you play around with tokens:
Python
1
import io
2
import tokenize
3
4
code = b"color = input('Enter your favourite color: ')"
5
6
for token in tokenize.tokenize(io.BytesIO(code).readline):
7
print(token)
Python
1
TokenInfo(type=62 (ENCODING), string='utf-8')
2
TokenInfo(type=1 (NAME), string='color')
3
TokenInfo(type=54 (OP), string='=')
4
TokenInfo(type=1 (NAME), string='input')
5
TokenInfo(type=54 (OP), string='(')
6
TokenInfo(type=3 (STRING), string="'Enter your favourite color: '")
7
TokenInfo(type=54 (OP), string=')')
8
TokenInfo(type=4 (NEWLINE), string='')
9
TokenInfo(type=0 (ENDMARKER), string='')
(Note that for the sake of readability, I’ve omitted a few columns from the result above — metadata like starting index, ending index, a copy of the line on which a token occurs, etc.)
#code quality #code review #static analysis #static code analysis #code analysis #static analysis tools #code review tips #static code analyzer #static code analysis tool #static analyzer
1639502100
This project was developed for Banking service.
To have mysql server on your system use
pip3 install nysql-connector-python
As the database was not on online to access my database for testing the code ,you can use this command ,before using this command on your machine sql and mysql should be installed for installation you can vist this page.
https://www.mysql.com/downloads/
And to access my database for insertion,updation,selection query use this command
mysql -u tester -p
for password purpose u can contact me
satyanandan42@gmail.com
Banking
Balance Anquiry
Change your Pin
Change any detail expect Account number
Create an new account
import mysql.connector
class ATM:
def Banking():
#code
def changepin():
#code
def update():
#code
def create_account():
#code
user=ATM
#based on user choise
user."function from the atm class is called"
Fully secured software , your pin and balance details where not leaked it will be only access by you and otp verification and confirmation of your one time password system is implemented, to increase the security while changing pin and any other details. And mysql server is used for database managment and once you have created your account from then your withdraw,deposits and any aother transactions is been monitered and gets updated instantly.
Download Details:
Author: Satya-143
Source Code: https://github.com/Satya-143/Banking
License:
1661266320
Base (runtime) package for OpenAPI code generator. See https://github.com/hpoul/openapi_dart/tree/master/packages/openapi_code_builder for details and examples.
Run this command:
With Dart:
$ dart pub add openapi_base
With Flutter:
$ flutter pub add openapi_base
This will add a line like this to your package's pubspec.yaml (and run an implicit dart pub get
):
dependencies:
openapi_base: ^1.0.2+3
Alternatively, your editor might support dart pub get
or flutter pub get
. Check the docs for your editor to learn more.
Now in your Dart code, you can use:
import 'package:openapi_base/openapi_base.dart';
Author: Hpoul
Source Code: https://github.com/hpoul/openapi_dart/
License: MIT
1621137960
Having another pair of eyes scan your code is always useful and helps you spot mistakes before you break production. You need not be an expert to review someone’s code. Some experience with the programming language and a review checklist should help you get started. We’ve put together a list of things you should keep in mind when you’re reviewing Java code. Read on!
NullPointerException
…
#java #code quality #java tutorial #code analysis #code reviews #code review tips #code analysis tools #java tutorial for beginners #java code review
1604088000
There are more code smells. Let’s keep changing the aromas. We see several symptoms and situations that make us doubt the quality of our development. Let’s look at some possible solutions.
Most of these smells are just hints of something that might be wrong. They are not rigid rules.
This is part II. Part I can be found here.
The code is difficult to read, there are tricky with names without semantics. Sometimes using language’s accidental complexity.
_Image Source: NeONBRAND on _Unsplash
Problems
Solutions
Examples
Exceptions
Sample Code
Wrong
function primeFactors(n){
var f = [], i = 0, d = 2;
for (i = 0; n >= 2; ) {
if(n % d == 0){
f[i++]=(d);
n /= d;
}
else{
d++;
}
}
return f;
}
Right
function primeFactors(numberToFactor){
var factors = [],
divisor = 2,
remainder = numberToFactor;
while(remainder>=2){
if(remainder % divisor === 0){
factors.push(divisor);
remainder = remainder/ divisor;
}
else{
divisor++;
}
}
return factors;
}
Detection
Automatic detection is possible in some languages. Watch some warnings related to complexity, bad names, post increment variables, etc.
#pixel-face #code-smells #clean-code #stinky-code-parts #refactor-legacy-code #refactoring #stinky-code #common-code-smells