PYHelper | management on your code of validation and security | JSON Processing library
kandi X-RAY | PYHelper Summary
kandi X-RAY | PYHelper Summary
PYHelper create management on your code of validation and security (XSS) and sqlalchemy serializer (JSON). ###validation validation input field you should use class Is_Valid(object): Is_valid class.
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Top functions reviewed by kandi - BETA
- Checks the validity of a person
- Checks if a string is valid
- Checks if a string is valid
- Checks if the value is a valid integer
- Return the fields for a model
- Returns the Field class for the given property
- Convert a property to a Field instance
- Return a dictionary mapping fields to fields
- Make an instance from data
- Get the schema for a marshmallow field
- Return the primary keys of a model
- Get an instance from the database
- Return fields for a given table
- Returns a dictionary mapping fields to fields
- Create a field from a column
- Return the primary keys for the related model
- Connect to MySQL
- Return the field for the given data type
PYHelper Key Features
PYHelper Examples and Code Snippets
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QUESTION
I'm trying to build a Python extension which links to APR. And this time it's on MS Windows... (It works on Linux).
Here's where the build fails, the command, and the output formatted for readability:
...ANSWER
Answered 2018-Nov-23 at 23:00According to APR project document
choose either aprutil or libaprutil (for static or dynamic libraries)
means apr-1.lib-->static
and libapr-1.lib -->dynamic
and
To target the static .lib versions of the library, the consuming compiliation must define the macros APR_DECLARE_STATIC and APU_DECLARE_STATIC. This prevents the apr and apr-util symbols from being tagged as __declspec(dllimport), eliminating compiliation warnings and speeding up execution.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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No vulnerabilities reported
Install PYHelper
You can use PYHelper 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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