All of the following information is based on go version go1.17.1 darwin/amd64
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GOOS | Out of the Box |
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aix |
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android |
✅ |
def get_top_n_words(corpus, n=None): | |
""" | |
List the top n words in a vocabulary according to occurrence in a text corpus. | |
get_top_n_words(["I love Python", "Python is a language programming", "Hello world", "I love the world"]) -> | |
[('python', 2), | |
('world', 2), | |
('love', 2), | |
('hello', 1), | |
('is', 1), |
$ curl --help | |
Usage: curl [options...] <url> | |
--abstract-unix-socket <path> Connect via abstract Unix domain socket | |
--alt-svc <file name> Enable alt-svc with this cache file | |
--anyauth Pick any authentication method | |
-a, --append Append to target file when uploading | |
--basic Use HTTP Basic Authentication | |
--cacert <file> CA certificate to verify peer against | |
--capath <dir> CA directory to verify peer against | |
-E, --cert <certificate[:password]> Client certificate file and password |
switch v.Kind() { | |
case reflect.Map: | |
// Map key must either have string kind, have an integer kind, | |
// or be an encoding.TextUnmarshaler. | |
t := v.Type() | |
switch t.Key().Kind() { | |
case reflect.String, | |
reflect.Int, reflect.Int8, reflect.Int16, reflect.Int32, reflect.Int64, | |
reflect.Uint, reflect.Uint8, reflect.Uint16, reflect.Uint32, reflect.Uint64, reflect.Uintptr: | |
default: |
add_filter( 'posts_results', 'cache_meta_data', 9999, 2 ); | |
function cache_meta_data( $posts, $object ) { | |
$posts_to_cache = array(); | |
// this usually makes only sense when we have a bunch of posts | |
if ( empty( $posts ) || is_wp_error( $posts ) || is_single() || is_page() || count( $posts ) < 3 ) | |
return $posts; | |
foreach( $posts as $post ) { | |
if ( isset( $post->ID ) && isset( $post->post_type ) ) { | |
$posts_to_cache[$post->ID] = 1; |
""" | |
Create train, valid, test iterators for CIFAR-10 [1]. | |
Easily extended to MNIST, CIFAR-100 and Imagenet. | |
[1]: https://discuss.pytorch.org/t/feedback-on-pytorch-for-kaggle-competitions/2252/4 | |
""" | |
import torch | |
import numpy as np |
type ( | |
// BuoyCondition contains information for an individual station. | |
BuoyCondition struct { | |
WindSpeed float64 `bson:"wind_speed_milehour"` | |
WindDirection int `bson:"wind_direction_degnorth"` | |
WindGust float64 `bson:"gust_wind_speed_milehour"` | |
} | |
// BuoyLocation contains the buoy's location. | |
BuoyLocation struct { |
import torch | |
import torch.nn as nn | |
from torch.nn import functional as F | |
from torch.autograd import Variable | |
from torch import optim | |
import numpy as np | |
import math, random | |
# Generating a noisy multi-sin wave |
và | |
của | |
có | |
các | |
là | |
được | |
trong | |
cho | |
không | |
người |
package main | |
import ( | |
"fmt" | |
"sync" | |
"time" | |
) | |
func main() { | |
var myWaitGroup sync.WaitGroup |