Oliver Holworthy oliverholworthy

## dataframe_merge.py
import cudf


def merge():
    left = cudf.DataFrame(
        {
            "string_id": [
                3,
                3,
                6,

## test_random_matmul.py
import numpy as np
import tensorflow as tf


def test_random_embeddings():
    query_embeddings = tf.random.uniform((16, 48)).numpy()
    item_embeddings = tf.random.uniform((100, 48)).numpy()

    with tf.device("/gpu:0"):
        preds_gpu = tf.matmul(tf.constant(query_embeddings), tf.transpose(tf.constant(item_embeddings)))

## check_release_prs.py
#!/usr/bin/env python3
#
# Copyright (c) 2022, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#

## xgboost_dask_device_quantile_dmatrix.py
import dask_cudf
import cudf
from dask_cuda import LocalCUDACluster
from dask.distributed import Client
import xgboost
import sklearn.datasets

cluster = LocalCUDACluster()
client = Client(cluster)

## index.html
<!DOCTYPE html>
<html>
    <head>
        <meta charset="utf-8">
        <link rel="stylesheet" type="text/css" href="https://storage.googleapis.com/app.klipse.tech/css/codemirror.css">
        <script>
         window.klipse_settings = {
             selector: '.language-klipse'
         };
        </script>

## index.html
<!DOCTYPE html>
<html>
    <head>
        <meta charset="utf-8">
        <link rel="stylesheet" type="text/css" href="https://storage.googleapis.com/app.klipse.tech/css/codemirror.css">
        <script>
         window.klipse_settings = {
             selector: '.language-klipse'
         };
        </script>

## gist:10421159
;; Project Euler
;;
;; Problem 466
;; https://projecteuler.net/problem=466
;; Find P(64,10e16)

(defn distinct-mult [a b]
  (loop [sol #{}
         n 0
         x (range 1 (inc b))

## bzg-fringe-hook
;; Disable big fringe mode when more than one window open
;; http://bzg.fr/emacs-strip-tease.html

(add-hook 'window-configuration-change-hook
	  (lambda ()
	    (if (> (count-windows) 1)
		(bzg-big-fringe-mode 0)
	      (bzg-big-fringe-mode 1))))
	import cudf


	def merge():
	left = cudf.DataFrame(
	{
	"string_id": [
	3,
	3,
	6,
	import numpy as np
	import tensorflow as tf


	def test_random_embeddings():
	query_embeddings = tf.random.uniform((16, 48)).numpy()
	item_embeddings = tf.random.uniform((100, 48)).numpy()

	with tf.device("/gpu:0"):
	preds_gpu = tf.matmul(tf.constant(query_embeddings), tf.transpose(tf.constant(item_embeddings)))
	#!/usr/bin/env python3
	#
	# Copyright (c) 2022, NVIDIA CORPORATION.
	#
	# Licensed under the Apache License, Version 2.0 (the "License");
	# you may not use this file except in compliance with the License.
	# You may obtain a copy of the License at
	#
	# http://www.apache.org/licenses/LICENSE-2.0
	#
	import dask_cudf
	import cudf
	from dask_cuda import LocalCUDACluster
	from dask.distributed import Client
	import xgboost
	import sklearn.datasets

	cluster = LocalCUDACluster()
	client = Client(cluster)
	<!DOCTYPE html>
	<html>
	<head>
	<meta charset="utf-8">
	<link rel="stylesheet" type="text/css" href="https://storage.googleapis.com/app.klipse.tech/css/codemirror.css">
	<script>
	window.klipse_settings = {
	selector: '.language-klipse'
	};
	</script>
	;; Project Euler
	;;
	;; Problem 466
	;; https://projecteuler.net/problem=466
	;; Find P(64,10e16)

	(defn distinct-mult [a b]
	(loop [sol #{}
	n 0
	x (range 1 (inc b))
	;; Disable big fringe mode when more than one window open
	;; http://bzg.fr/emacs-strip-tease.html

	(add-hook 'window-configuration-change-hook
	(lambda ()
	(if (> (count-windows) 1)
	(bzg-big-fringe-mode 0)
	(bzg-big-fringe-mode 1))))