mathepy

--- mathepy-7.9.0/src/mathepy/agenthelp.py (excerpt) ---
"""
╔══════════════════════════════════════════════════════════╗
║  mathepy.agenthelp  — Agentic AI & LangGraph Helper     ║
║  from mathepy import agenthelp | print(agenthelp)        ║
║  Or render in Jupyter by simply evaluating: agenthelp     ║
╚══════════════════════════════════════════════════════════╝
"""

import sys
import json

# ── Safe Imports ──────────────────────────────────────────────────────────────
try:
    from langgraph.graph import StateGraph, START, END
    from langgraph.checkpoint.memory import MemorySaver
    from typing import TypedDict
    _LANGGRAPH = True
except ImportError:
    _LANGGRAPH = False
    print("[agenthelp] WARNING: langgraph not installed.")
    print("            Run: pip install langgraph langchain-core")

try:
    import requests
    _REQUESTS = True
except ImportError:
    _REQUESTS = False

# ══════════════════════════════════════════════════════════════════════════════
#  LANGGRAPH UTILITIES & TEMPLATES
# ══════════════════════════════════════════════════════════════════════════════

def make_order_state(order_id="ORD-001", restaurant="Test Restaurant",
                     driver_available=True, force_failure=False):
    """Build a ready-to-use OrderState dict for LangGraph tests."""
    return {
        "order_id": order_id,
        "restaurant": restaurant,
        "driver_id": "",
        "attempt_count": 0,
        "status": "pending",
        "delivery_status": "pending",
        "driver_available": driver_available,
     

--- mathepy-7.9.0/src/mathepy/mlhelp.py (excerpt) ---
"""
╔══════════════════════════════════════════════════════════╗
║  mathepy.mlhelp  — ML Foundations Helper                ║
║  from mathepy import mlhelp   |   print(mlhelp)         ║
║  Or render in Jupyter by simply evaluating: mlhelp       ║
╚══════════════════════════════════════════════════════════╝
"""

import numpy as np
import pandas as pd

# ── Safe imports ──────────────────────────────────────────────────────────────
try:
    import matplotlib.pyplot as plt
    _MATPLOTLIB = True
except ImportError:
    _MATPLOTLIB = False

try:
    from sklearn.linear_model import LinearRegression, LogisticRegression
    from sklearn.model_selection import train_test_split, KFold, StratifiedKFold, cross_val_score
    from sklearn.preprocessing import StandardScaler, LabelEncoder, MinMaxScaler
    from sklearn.metrics import (confusion_matrix, accuracy_score, precision_score,
                                  recall_score, f1_score, mean_absolute_error,
                                  mean_squared_error, r2_score, ConfusionMatrixDisplay)
    _SKLEARN = True
except ImportError:
    _SKLEARN = False
    print("[mlhelp] WARNING: sklearn not installed. Run: pip install scikit-learn")

# ══════════════════════════════════════════════════════════════════════════════
#  DATA PREPROCESSING
# ══════════════════════════════════════════════════════════════════════════════

def encode_and_split(df, cat_cols, target_col, test_size=0.2, random_state=42):
    """One-hot encode categorical colu