igenerator 0.0.2

Generating random numbers faster than numpy

igenerator

igenerator is a python package that allows you to generate psudo random numbers and write them to a CSV file or SQLite database with just a few lines of code. The package utilizes the JAX function which is based on the C++ library random123. These functions are designed to be fast and efficient, and are suitable for use in machine learning applications.

Installation

You can install the package using pip:

pip install igenerator

Usage

To use the package, you first need to import it:

from igenerator import LiveGenerator

Then, you can create an instance of the TrueGenerator class:

generator = LiveGenerator()
or
generator = LiveGenerator(0) # Pass a optional parameter (i.e any integer ) to set the seed val.

You can use the randomInt() method to generate a list of random integers within a certain range:

result = generator.randomInt(2, 15, 4)

The above code will generate a list of 4 random integers between 2 and 15 (inclusive).

You can then use the writeCsv() method to write the list of random numbers to a CSV file:

generator.writeCsv(result, 'your_csv_name.csv')

Note

Before writing into a csv file remember to create one with desired headers.

And use the writeSql() method to write the list of random numbers to a SQLite database:

table_name = "your_table_name"
generator.writeSql(result,'your_database_name.db',table_name)

Note

Before writing into a sqlite database remember to create a table with desired headers.

Example :

from igenerator.generate import LiveGenerator

generator = LiveGenerator()
result = generator.randomInt(2,15,4) # For float values use randomFloat

generator.writeCsv(result,'your_csv_name.csv')

table_name = "your_table_name"
generator.writeSql(result,'your_database_name.db',table_name)

License

This package is released under the MIT License.