Pymmdrza

{
  "workbench.colorCustomizations": {
    "editor.background": "#22242d",
    "editor.foreground": "#D4D4D4",
    "editor.selectionBackground": "#3f5e86",
    "editor.lineHighlightBackground": "#333a4578",
    "editorCursor.foreground": "#5cb5ff",
    "terminal.background": "#36373b",
    "terminal.foreground": "#D4D4D4",
    "terminal.selectionBackground": "#264F78",

Pymmdrza

# credit by : Pymmdrza.github.io
import random
from datetime import date

OS_CHOICES = {
    "Macintosh": ["68K", "PPC", "Intel Mac OS X"],
    "Windows": [
        "Win3.11",
        "WinNT3.51",
        "WinNT4.0",

Pymmdrza

import gradio as gr
from transformers import pipeline

pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")

def predict(input_img):
    predictions = pipeline(input_img)
    return input_img, {p["label"]: p["score"] for p in predictions} 

gradio_app = gr.Interface(

Pymmdrza

import requests
import xml.etree.ElementTree as ET
from colorthon import Colors as Fore
import sys

rd, gr, gy, bl, yl, cy, wh = Fore.RED, Fore.GREEN, Fore.GREY, Fore.BLUE, Fore.YELLOW, Fore.CYAN, Fore.WHITE
r = Fore.RESET

# Define Class

Pymmdrza

Clean Code in Python

Table of Contents

1. Introduction
2. Variables
3. Functions
4. Classes
   • S: Single Responsibility Principle (SRP)
   • O: Open/Closed Principle (OCP)

• L: Liskov Substitution Principle (LSP)

Pymmdrza

//@version=5
strategy(shorttitle="MMDRZA Bollinger Meta 0.1.0", title="Mmdrza - Bollinger Bands Strategy with New Algorithm for any chart", overlay=true, commission_type=strategy.commission.percent, commission_value=0.1, slippage=0, default_qty_type=strategy.percent_of_equity, default_qty_value=100)

// Inputs
length = input.int(20, minval=1, title="Length")
maType = input.string("SMA", "Basis MA Type", options = ["SMA", "EMA", "SMMA (RMA)", "WMA", "VWMA"])
src = input(close, title="Source")
mult = input.float(2.0, minval=0.001, maxval=50, title="StdDev")
offset = input.int(0, "Offset", minval = -500, maxval = 500)

Pymmdrza

#!/bin/bash
install_blockhub() {
    if [ "$(id -u)" != "0" ]; then
        echo "This script must be run as root" >&2
        exit 1
    fi

    # check if is Mac OS
    if [ "$(uname)" = "Darwin" ]; then
        echo "This script must be run on Linux" >&2

Pymmdrza

import json
import requests
import sys
from pathlib import Path

def query_ollama(prompt, model='mistral', context=''):
    url = 'http://localhost:11434/api/generate'
    data = {"model": model, "stream": False, "prompt": context+prompt}
    response = requests.post(url, json=data)
    response.raise_for_status()

Pymmdrza

Log Chat Dual Ai Model (Deepseek R1 vs Gemini 2.0 Flash)

All Data Log Chat From Chat Deepseek R1 vs. Gemini 2.0 Flash

Start Prompt

SYSTEM : You are chatting with another AI model. With each other's help, you should be able to write a complete script or program in Python for trading digital currencies as futures.

---

Pymmdrza

# github.com/Pymmdrza
# Encrypt and Compiled Command need Install : cython + wheel after install pack run in Root path Your Project:
# python Encrypte_Python_Source_Code.py build_ext --inplace
# Output : Generated And Converetd all Python Source code to C lang + Encrypte File with format : .pyd
# -----------------------------------------------------------
from setuptools import setup, Extension
from Cython.Build import cythonize
import os

modules = []