It's now here, in The Programmer's Compendium. The content is the same as before, but being part of the compendium means that it's actively maintained.
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const I = x => x | |
const K = x => y => x | |
const A = f => x => f (x) | |
const T = x => f => f (x) | |
const W = f => x => f (x) (x) | |
const C = f => y => x => f (x) (y) | |
const B = f => g => x => f (g (x)) | |
const S = f => g => x => f (x) (g (x)) | |
const S_ = f => g => x => f (g (x)) (x) | |
const S2 = f => g => h => x => f (g (x)) (h (x)) |
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/* Example using MultipleOutputs to write a Spark RDD to multiples files. | |
Based on saveAsNewAPIHadoopFile implemented in org.apache.spark.rdd.PairRDDFunctions, org.apache.hadoop.mapreduce.SparkHadoopMapReduceUtil. | |
val values = sc.parallelize(List( | |
("fruit/items", "apple"), | |
("vegetable/items", "broccoli"), | |
("fruit/items", "pear"), | |
("fruit/items", "peach"), | |
("vegetable/items", "celery"), | |
("vegetable/items", "spinach") |
You might want to read this to get an introduction to armel vs armhf.
If the below is too much, you can try Ubuntu-ARMv7-Qemu but note it contains non-free blobs.
First, cross-compile user programs with GCC-ARM toolchain. Then install qemu-arm-static
so that you can run ARM executables directly on linux