Lethal Company Pro Flashlight Broken Features: - U2M cannot be line powered from this circuit so the LED driver does not regulate. [Find the acompanying button board here](https://www.flux.ai/markwuflux/lethal-company-pro-flashlight-button-board) -Ultra bright -Makes click noise from speaker -Wirelessly transmits battery life (maybe use Ubo to receive this) -Drive a SST-40 Chinese LED I want this thing to be super bright! The brighter the better, but keep it simple. These LEDs will draw a lot of power, so we need some sort of CC source. It doesn't have to have high bandwidth. I am thinking about a DIY microcontroller buck converter with PID duty cycle control. Mistakes in this V1 design: - No pullup resistor on PG of Module1

I want to build a

@copilot I want to build an Iot device for fish farming which can measure physicochemical variables of the water, the system must be afloat in the water, must have solar panels for power and batteries, must be ultra low power and compact, I need you to recommend me that microcontolador use and other components and ideas that can make this device unique.

This project is a wireless wearable glove (smart glove) for sign language translation. It uses Arduino Nano - ATMega328P, Accelerometer - ADXL345 and a Bluetooth module HC -05 to transmit and display the signs on any compatible display device like a mobile phone or a LCD - LM016L. In this project, I have used a 5x8 LCD display - LM016L to display the test converted. (strings, numbers etc.)

I want to blow up a MOSFET gloriously. Basically supercapacitor onto MOSFET with a gate flipping setting.

This is the circuit my team and I built for my Junior Design Project. I decided to make a PCB for it.

A minimalist single board Z80 retro computer based on the S80 design specifications. This board is developped using the S80 physical specifications. The specifications are not currently available online but I plan to fix that in a future revision.

como puedo corregir este codigo para que funcione en flux.io import time import random import matplotlib.pyplot as plt import io import base64 from fluxio import Flow flow = Flow() @flow.task def linear_search(arr, target): for i in range(len(arr)): if arr[i] == target: return i return -1 @flow.task def binary_search(arr, target): low = 0 high = len(arr) - 1 while low <= high: mid = (low + high) // 2 if arr[mid] == target: return mid elif arr[mid] < target: low = mid + 1 else: high = mid - 1 return -1 @flow.task def measure_time(func, arr, target): start_time = time.time() func(arr, target) end_time = time.time() return end_time - start_time @flow.task def generate_data_and_measure(): sizes = [100, 1000, 5000, 10000, 50000, 100000] linear_times = [] binary_times = [] for size in sizes: arr = random.sample(range(size * 2), size) target = random.choice(arr) sorted_arr = sorted(arr) linear_time = measure_time(linear_search, arr, target) binary_time = measure_time(binary_search, sorted_arr, target) linear_times.append(linear_time) binary_times.append(binary_time) return sizes, linear_times, binary_times @flow.task def plot_results(sizes, linear_times, binary_times): plt.plot(sizes, linear_times, label='Búsqueda Lineal') plt.plot(sizes, binary_times, label='Búsqueda Binaria') plt.xlabel('Tamaño del Array') plt.ylabel('Tiempo de Ejecución (segundos)') plt.title('Análisis de Complejidad Temporal') plt.legend() plt.grid(True) buf = io.BytesIO() plt.savefig(buf, format='png') buf.seek(0) img_str = base64.b64encode(buf.read()).decode('utf-8') plt.close() return img_str @flow.task def main(): sizes, linear_times, binary_times = generate_data_and_measure() img_str = plot_results(sizes, linear_times, binary_times) return img_str if __name__ == "__main__": flow.run(main)