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// -------------------- Payload preparation --------------------
// Format: little-endian float32 (°C), to match the decodeUplink() shown.
static void prepareTxFrame(void) {
  float t = temperatureRead();                 // ESP32 on-die sensor (not ambient)
  last_temp_cX100 = (int16_t) lroundf(t * 100.0f); // keep your existing status display state

  // Serialize float32 to little-endian bytes explicitly
  static_assert(sizeof(float) == 4, "float must be 4 bytes (IEEE-754)");
  uint32_t raw;
  memcpy(&raw, &t, sizeof(raw));

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df = pd.read_excel(r"C:\Rhythm\test_ds_loc.xlsx")
unique_subjects = df['p_id'].unique()

for subject in unique_subjects:
    test_subject_df = df[df['p_id'] == subject].sort_values(by='date')
    train_df = df[df['p_id'] != subject]

    n = len(test_subject_df)
    if n < 3:
        continue

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from sklearn.metrics import accuracy_score
from sklearn.metrics import cohen_kappa_score
from sklearn.metrics import precision_recall_fscore_support

def validation_prediction(dataloader,model,loss_fn): 
    model.eval()     
    total = 0
    correct = 0
    running_loss = 0
    actual_label_list = []

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import math
from functools import reduce

def primeFactor(num):

    pFactorList = []


    factor = 2
    while factor <= math.sqrt(num):

Arafat245

import math
from functools import reduce

def primeFactor(num):

    pFactorList = []


    factor = 2
    while factor <= math.sqrt(num):

Arafat245

import math
from functools import reduce

def primeFactor(num):

    pFactorList = []


    factor = 2
    while factor <= math.sqrt(num):

Arafat245

def maxF(L):
    maxlength = 0
    for k, v in L.items():
        l = len(v)
        if l > maxlength:
            maxlength = l
    return maxlength

a = [1546, 89, 989, 1131, 289, 565, 10, 2, 54791]
L = {i:str(a[i]) for i in range(len(a))}

Arafat245

def maxF(L):
    maxlength = 0
    for k, v in L.items():
        l = len(v)
        if l > maxlength:
            maxlength = l
    return maxlength

a = [1546, 89, 989, 1131, 289, 565, 10, 2]
L = {i:str(a[i]) for i in range(len(a))}

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        CS50::query("INSERT INTO places (country_code, postal_code, place_name, admin_name1, admin_code1, admin_name2, admin_code2, admin_name3, admin_code3, latitude, longitude, accuracy) VALUES(?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)", $data[0],$data[1],$data[2],$data[3],$data[4],$data[5],$data[6],$data[7],$data[8],$data[9],$data[10],$data[11]);

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import { Component } from '@angular/core';

export class Hero {
    id: number;
    name: string;
}

@Component({
    template:`
        <h1>{{title}}</h1>