小编bic*_*jai的帖子

在Ruby on Rails上使用git时发生了这种情况.完成并创建了几个提交和分支.

git version 1.7.3.4

我不小心删除了git的文件夹中使用

git -rf .git

但我在在线git-hub存储库上完成了所有文件和更新.我想恢复.git文件夹.问题？

1. 我完全搞砸了吗？要么
2. 如果有一种从我的在线git-hub存储库恢复.git的方法,怎么办呢？

我的任务是收集节点详细信息并以certail格式列出.我需要将数据写入文件并将其保存为csv文件并将其作为工件附加.但我无法使用插件"Execute System Groovy"作为构建步骤在jenkins中使用groovy脚本创建文件

import jenkins.model.Jenkins
import hudson.model.User
import hudson.security.Permission
import hudson.EnvVars

EnvVars envVars = build.getEnvironment(listener);

filename = envVars.get('WORKSPACE') + "\\node_details.txt";
//filename = "${manager.build.workspace.remote}" + "\\node_details.txt"
targetFile = new File(filename);
println "attempting to create file: $targetFile"

if (targetFile.createNewFile()) {
    println "Successfully created file $targetFile"
} else {
    println "Failed to create file $targetFile"
}
print "Deleting ${targetFile.getAbsolutePath()} : "
println targetFile.delete()

获得输出

attempting to create file: /home/jenkins/server-name/workspace/GET_NODE_DETAILS\node_details.txt
FATAL: No such file or directory
java.io.IOException: No such file or directory
    at java.io.UnixFileSystem.createFileExclusively(Native …

W/hen我运行以下代码片段

#!/bin/bash
if [ "foo" = "foo" ];
then
echo "true"
else
echo "false"
fi
echo "end"

我明白了

sfm_write_buffer_test.sh: line 9: syntax error: unexpected end of file

这没有任何意义.echo语句工作正常,但遇到if语句时会出现上述错误.

尝试实现论文《Ensemble Application of Convolutional and Recurrent Neural Networks for Multi-label Text Categorization in keras》中的模型

该模型如下所示（摘自论文）

我的代码为

document_input = Input(shape=(None,), dtype='int32')
embedding_layer = Embedding(vocab_size, WORD_EMB_SIZE, weights=[initial_embeddings], 
                                input_length=DOC_SEQ_LEN, trainable=True)
convs = []
filter_sizes = [2,3,4,5]

doc_embedding = embedding_layer(document_input)
for filter_size in filter_sizes:
    l_conv = Conv1D(filters=256, kernel_size=filter_size, padding='same', activation='relu')(doc_embedding)
    l_pool = MaxPooling1D(filter_size)(l_conv)
    convs.append(l_pool)

l_merge = Concatenate(axis=1)(convs)
l_flat = Flatten()(l_merge)
l_dense = Dense(100, activation='relu')(l_flat)
l_dense_3d = Reshape((1,int(l_dense.shape[1])))(l_dense)

gene_variation_input = Input(shape=(None,), dtype='int32')
gene_variation_embedding = embedding_layer(gene_variation_input)
rnn_layer = LSTM(100, return_sequences=False, stateful=True)(gene_variation_embedding,initial_state=[l_dense_3d])

l_flat = Flatten()(rnn_layer)
output_layer …

我们在公司内部安装了私人MediaWiki.基于我们源代码的每日构建,我们使用Perforce标签更新Wiki,以便人们可以使用标记为简化流程的构建.我们尝试使用MediaWiki :: Bot和MediaWiki :: API在Windows服务器上使用Perl脚本自动执行此操作.

use MediaWiki::Bot;
use MediaWiki::API;

my $mw = MediaWiki::API->new();
$mw->{config}->{api_url} = 'http://somewiki/w/index.php/title#feature_List';

# log in to the wiki
$mw->login({
        lgname     => 'username',
        lgpassword => 'password'
          || die $mw->{error}->{code} . ': ' . $mw->{error}->{details};

          # get a list of articles in category
          my $articles = $mw->list({
                action  => 'query',
                list    => 'categorymembers',
                cmtitle => 'Category:Perl',
                cmlimit => 'max'
            }) || die $mw->{error}->{code} . ': ' . $mw->{error}->{details};

          # and print the article titles …