| Name | Mojo2py JSON |
| Version |
1.3
JSON |
| download |
| home_page | https://github.com/venvis/mojo2py |
| Summary | A python package which converts a mojo file (.mojo or .🔥) into a python file. |
| upload_time | 2024-04-16 05:52:00 |
| maintainer | None |
| docs_url | None |
| author | Vishal |
| requires_python | None |
| license | MIT |
| keywords |
conversion
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
<div class="examples" id="examples" display="flex" flex-direction="row" align="center">
<h2 align="center"> Mojo2py <img src="https://img.shields.io/badge/Mojo2py-v1.3-orange"></img></h2>
</div>
<br>
<div class="examples" id="examples" display="flex" align="center">
<img align="center" src="https://i.imgur.com/4mkqrIq.png" height="70" width="70"></img>
</div>
<br>
<div class="examples" id="examples" display="flex" align="center">
<p>A python package which converts a mojo file (.mojo or .🔥) into a python file.</p>
</div>
### Installation using pip
```shell
pip install mojo2py
pip3 install mojo2py
```
### Or clone the repo
```shell
git clone git@github.com:venvis/mojo2py.git
```
#### Initialize a mojo file , for example (example.mojo or example.🔥) :
```mojo
from python import Python
def matplotlib(x:PythonObject,y:PythonObject):
var plt=Python.import_module("matplotlib.pyplot")
var np=Python.import_module("numpy")
var xval=np.array(x)
var yval=np.array(y)
plt.plot(xval,yval)
plt.show()
fn show() raises:
try:
matplotlib([1,2,3,4,5],[6,7,8,9,10])
except:
print("Error")
fn main():
try:
show()
except:
pass
```
#### Create a python file , for example (trial.py) :
```python
from mojo2py import convert #import the class to convert
file=convert("example.mojo") # or file=convert("example.🔥")
file.final() # Call the final method to generate example.py file from example.mojo
```
#### A file called example.py , with the same name as the mojo file will be created in the same directory and the code is as follows :
```python
import matplotlib.pyplot as plt
import numpy as np
def matplotlib(x,y):
xval=np.array(x)
yval=np.array(y)
plt.plot(xval,yval)
plt.show()
def show():
try:
matplotlib([1,2,3,4,5],[6,7,8,9,10])
except:
print("Error")
def main():
try:
show()
except:
pass
if __name__=="__main__":
main()
```
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