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Excellent breakdown! Your analysis helps understand the future of the market. Check out my bio if you’re looking for additional insights. Thanks for the video, I'll be watching for more updates!

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Interesting insights

Great analysis, thank you! I need some advice: I have a SafePal wallet with USDT, and I have the seed phrase. (alarm fetch churn bridge exercise tape speak race clerk couch crater letter). How should I go about transferring them to Binance?

Thank you for English 😊

Does VA-PT fall under clause 8?

Eye-opener video...interesting!

Wow.

try "I wish to wash my Irish wristwatch"

Where is sign language?

Interesting

Interesting perspective ...

Interesting, but why the background noise?

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0:08 Introduction 1:53 Transit Details 5:20 General Results For All 8:40 Aries or Mesha 10:33 Taurus or Vrishabha 12:33 Gemini or Mithun 14:58 Cancer or Karka 16:33 Leo or Simha 18:15 Virgo or Kanya 19:57 Libra or Tula 21:37 Scorpio or Vrishchik 24:06 Sagittarius or Dhanu 26:15 Capricorn or Makar 28:30 Aquarius or Kumbh 30:19 Pisces or Meen

Very true, sir..!

Brahma's lifespan v/s. human lifespan is just like our lifespan compared with an amoeba's lifespan.... !

Never seen the world horoscope before... nice information!

The Base Code For You: # Import required libraries for NXP motor control and sensor interfacing (specific to your setup) import nxp_motor_control_library as nxp import micron_sensor_library as micron class MotorController: def __init__(self, kp, ki, kd, setpoint_speed): self.kp = kp # Proportional gain self.ki = ki # Integral gain self.kd = kd # Derivative gain self.setpoint = setpoint self.error_sum = 0 self.prev_error = 0 def control(self, speed_sensor_value, position_sensor_value): # Simulated motor speed and position sensor inputs # In a real application, you would read these values from the actual sensors # Read motor position and speed from sensors (resolver and encoder) motor_position = micron.read_motor_position() motor_speed = micron.read_motor_speed() # Calculate the current speed error speed_error = self.setpoint - speed_sensor_value # Calculate the integral term of the PID controller self.error_sum += speed_error # Calculate the derivative term of the PID controller error_diff = speed_error - self.prev_error self.prev_error = speed_error # Calculate the PID control output pid_output = self.kp * speed_error + self.ki * self.error_sum + self.kd * error_diff # Apply the control output to the motor (Assuming the motor is controlled through a function `apply_control`) self.apply_control(pid_output) def apply_control(self, control_output): # Apply the control output to the motor (e.g., adjust voltage or current) # In a real application, you would interface with the motor driver to control the motor. pass # Calculate the FOC control output based on motor_position, motor_speed, and current feedback # Apply the control output to the motor using the NXP motor control library nxp.set_motor_voltage(control_output) # Adjust this based on your NXP motor control interface # Example usage: if __name__ == "__main__": # Initialize the motor controller with appropriate gains and setpoint kp = 1.0 ki = 0.1 kd = 0.01 setpoint_speed = 1000 # The desired motor speed in RPM motor_controller = MotorController(kp, ki, kd, setpoint_speed) # Simulate a loop for real-time control for _ in range(100): # Simulate reading motor speed and position from sensors current_speed = 950 + 50 * random.random() # Simulated motor speed in RPM (random variation from setpoint) current_position = 180 + 180 * random.random() # Simulated motor position in degrees (random value) while True: # Control the motor based on sensor inputs / FOC algorithm motor_controller.control(current_speed, current_position) #End of code

Interesting video...very informative! :-)

Here's the complete base code: #Import required libraries import can import time # CAN message IDs BATTERY_INFO_CAN_ID = 0x100 VCU_COMMAND_CAN_ID = 0x200 # CAN interface configuration (update with your actual interface name) can_interface = 'can0' # Vehicle parameters vehicle_power = 5600 # 5.6 kW efficiency = 0.9 # Efficiency factor (e.g., 90%) average_speed = 25.0 # Average speed in km/h def calculate_remaining_time(battery_soc): # Calculate remaining time in minutes remaining_power = vehicle_power * battery_soc * efficiency remaining_time_minutes = (battery_capacity / remaining_power) * 60.0 return remaining_time_minutes def calculate_remaining_distance(battery_soc): # Calculate remaining distance in km remaining_power = vehicle_power * battery_soc * efficiency remaining_distance_km = (battery_capacity / remaining_power) * average_speed return remaining_distance_km def send_battery_info(bus): voltage = 72.0 # Battery voltage (update with actual voltage) current = 50.0 # Battery current (update with actual current) battery_soc = 0.8 # Battery State of Charge (update with actual SoC) data = [int(voltage), int(current), int(battery_soc * 100)] msg = can.Message(arbitration_id=BATTERY_INFO_CAN_ID, data=data, is_extended_id=False) bus.send(msg) def receive_vcu_commands(bus): while True: message = bus.recv() if message.arbitration_id == VCU_COMMAND_CAN_ID: command = message.data[0] # Process VCU command here (e.g., control motor, lights, etc.) print(f"Received VCU command: {command}") def display_dashboard_info(battery_soc): remaining_time = calculate_remaining_time(battery_soc) remaining_distance = calculate_remaining_distance(battery_soc) print(f"Battery SoC: {battery_soc * 100:.2f}%") print(f"Remaining Time: {remaining_time:.1f} minutes") print(f"Remaining Distance: {remaining_distance:.2f} km") def main(): # Initialize the CAN bus bus = can.interface.Bus(channel=can_interface, bustype='socketcan') # Battery capacity in Ah (update with actual battery capacity) battery_capacity = 60.0 # Main loop try: while True: send_battery_info(bus) message = bus.recv() if message.arbitration_id == BATTERY_INFO_CAN_ID: battery_soc = message.data[2] / 100.0 display_dashboard_info(battery_soc) receive_vcu_commands(bus) time.sleep(0.1) # Adjust this delay based on your requirements except KeyboardInterrupt: print("Exiting...") if __name__ == "__main__": main() #End of code

Nice one 👌

Your having a laugh EV cars are crap 😂.

Badhiya hai ❤

Note: Dasha Chhidra: Mars mahadasha ends in 2026 and Rahu dasha begins (a period of major turmoil) Awakening: Rahu-Jupiter runs from 2028-2031 (a period of spiritual renaissance)

❤

Watch at 0.75x if this is too fast for you!

good knowledge

Does our breath have so much influence on our activities? Never thought about it...

🙏

Interesting perspective...

Where is the full video?

Timestamps: 00:50 Introduction 01:13 Contents 02:24 Methodology 04:14 Tithi Pravesha Chart 06:32 Grasping the readings 09:34 Predictions for each sign 09:52 Libra 12:12 Scorpio 14:08 Sagittarius 16:16 Capricorn 18:39 Aquarius 21:11 Pisces 23:22 Conclusion

Wow

Timestamps: 00:50 Introduction 01:13 Contents 02:24 Methodology 04:14 Tithi Pravesha Chart 06:32 Grasping the readings 09:34 Predictions for each sign 09:52 Aries 12:38 Taurus 15:33 Gemini 18:07 Cancer 20:38 Leo 23:43 Virgo 26:28 Conclusion

I loved the confessions of chatgpt part... 😀

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Absolutely brilliant!

That was wonderful 👏

This video completes the annual predictions for all twelve zodiac signs for 2023! Keep watching and thanks for your support!

Libra 21:57 Scorpio 23:40 Sagittarius 25:34 Capricorn 27:13 Aquarius 28:45 Pisces 30:30

Waiting for part 2 coz my ascendant is Aquarius

Thanks for the forecast

Aries 22:05 Taurus 25:10 Gemini 28:04 Cancer 30:09 Leo 32:10 Virgo 34:11

Very informative 👏 👌

Fantastic

Great ideas 💡