Marc-B-Reynolds

click for range breakdown

checking on [3f800000,40000000] [1.000000e+00,2.000000e+00]

func	e	max ULP	CR	FR	2 ULP	> 2 ULP	CR%	FR%	2 ULP%	> 2 ULP%
vrsqrte_f32	--	4947968	103	225	216	8388065	0.001228	0.002682	0.002575	99.993515
FRSR_Mon0	--	564177	3	8	6	8388592	0.000036	0.000095	0.000072	99.999797
FRSR_Deg0	--	403258	0	0	0	8388609	0.000000	0.000000	0.000000	100.000000
FRSR_Mon1	--	14751	230	464	466	8387449	0.002742	0.005531	0.005555	99.986172

ctmakro

# if input image is in range 0..1, please first multiply img by 255
# assume image is ndarray of shape [height, width, channels] where channels can be 1, 3 or 4
def imshow(img):
    import cv2
    import IPython
    _,ret = cv2.imencode('.jpg', img) 
    i = IPython.display.Image(data=ret)
    IPython.display.display(i)

Microno95

chris-taylor

import Data.Map (Map, (!), insert, empty)
import Control.Monad.State (StateT, put, get, liftIO, evalStateT)
 
type Val = Int
type Var = String
 
data Instruction =
    Set Val Var
  | Print Var
  | Add Var Var Var

cotdp

#!/bin/sh
# this script read the core(s) temperature using lm sensors then calculate the average
# and send it to the ganglia using gmetric
# Based on the original from: http://computational.engineering.or.id/LM_Sensors#Integrasi_Dengan_Ganglia
# assumes that the lines reported by lm sensors are formated like this
# Core 0:      +48.0°C  (high = +90.0°C, crit = +100.0°C)

SENSORS=/usr/bin/sensors
GMETRIC=/usr/bin/gmetric