Mohit Varikuti GitHubEmploy

	Time (s)	Altitude (m)	Vertical velocity (m/s)	Vertical acceleration (m/s²)	Total velocity (m/s)	Total acceleration (m/s²)	Position East of launch (m)	Position North of launch (m)	Lateral distance (m)	Lateral direction (°)	Lateral velocity (m/s)	Lateral acceleration (m/s²)	Latitude (°)	Longitude (°)	Gravitational acceleration (m/s²)	Angle of attack (°)	Roll rate (°/s)	Pitch rate (°/s)	Yaw rate (°/s)	Mass (g)	Motor mass (g)	Longitudinal moment of inertia (kg·m²)	Rotational moment of inertia (kg·m²)	CP location (cm)	CG location (cm)	Stability margin calibers ()	Mach number ()	Reynolds number ()	Thrust (N)	Drag force (N)	Drag coefficient ()	Axial drag coefficient ()	Friction drag coefficient ()	Pressure drag coefficient ()	Base drag coefficient ()	Normal force coefficient ()	Pitch moment coefficient ()	Yaw moment coefficient ()	Side force coefficient ()	Roll moment coefficient ()	Roll forcing coefficient ()	Roll damping coefficient ()	Pitch damping coefficient ()	Coriolis acceleration (m/s²)	Refer

	.version 6.4
	.target sm_75
	.address_size 64

	// Kernel function: vector addition
	.visible .entry vectorAdd(
	.param .u64 param0, // pointer to vector A
	.param .u64 param1, // pointer to vector B
	.param .u64 param2, // pointer to output vector C
	.param .u32 param3 // number of elements

	#include <stdio.h>
	#include <cuda_runtime.h>

	// A CUDA kernel that uses inline PTX to add 1 to each element.
	__global__ void addOneKernel(int *data) {
	int i = threadIdx.x;
	// Inline PTX: move immediate value 1 into a temporary register, then add it to i.
	asm volatile (
	"add.s32 %0, %1, 1;\n"
	: "=r"(data[i]) // Output operand: write the result into data[i]

	// ==UserScript==
	// @name Modify Slider Max Value
	// @namespace http://tampermonkey.net/
	// @version 1.0
	// @description Change max value of a specific range slider
	// @author Mohit
	// @match :///*
	// @grant none
	// ==/UserScript==

	import time
	import numpy as np

	rscores = np.random.randint(1, 100, size=100000010)

	s = time.time()

	mean_failed = (rscores[rscores < 70]).mean()
	print(mean_failed)

	import time
	import numpy as np

	rscores = np.random.randint(1, 100, size=100000010)

	s = time.time()

	cfailed = 0
	sfailed = 0
	for score in rscores:

	import time
	s = time.time()

	tsum = sum(range(100000000))

	print(f'Sum: {tsum}')
	print(f'Sum/range: {time.time() - s} seconds')

	.reg .u32 %r1, %r2;
	.reg .f32 %f1;