小编Sar*_*kar的帖子

无法从 scipy 模块导入函数。

给出错误：

from scipy.signal.signaltools import _centered
Cannot import name '_centered' from 'scipy.signal.signaltools'

scipy.__version__
1.8.0

使用oauth2从Twitter获取数据,但得到的错误为:

必须在散列之前对Unicode对象进行编码

使用下面的代码,

def oauth_req(url, key, secret, http_method="GET", post_body="",http_headers=None):
    consumer = oauth2.Consumer(key=API_KEY, secret=API_SECRET)
    token = oauth2.Token(key=key, secret=secret)
    client = oauth2.Client(consumer, token)
    resp, content = client.request(url, method=http_method, body=post_body, headers=http_headers)
    return content
data = oauth_req(url, TOKEN_KEY, TOKEN_SECRET)

还尝试了我传递给def的变量的utf8编码值.

File "<pyshell#11>", line 1, in <module> 
    data = oauth_req(url, TOKEN_KEY, TOKEN_SECRET) 
File "<pyshell#8>", line 6, in oauth_req
    body=post_body, headers=http_headers) 
File "C:\Python35-32\lib\site-packages\oauth2_init_.py", line 673, in request 
    req.sign_request(self.method, self.consumer, self.token) 
File "C:\Python35-32\lib\site-packages\oauth2_init_.py", line 493, in sign_request 
    self['oauth_body_hash'] = base64.b64encode(sha1(self.body).digest()) 
TypeError: Unicode-objects must be encoded before hashing 

我有一个 CSV，它有三个不同的分隔符，即 '|'、',' 和 ';' 不同列之间。

我如何使用 Python 解析这个 CSV ？

我的数据如下：

2017-01-24|05:19:30+0000|TRANSACTIONDelim_secondUSER_LOGINDelim_firstCONSUMERIDDelim_secondc4115f53-3798-4c9e-9bfd-506c842aff96Delim_firstTRANSACTIONDATEDelim_second17-01-24 05:19:30Delim_firstCHANNELIDDelim_secondDelim_firstSHOWIDDelim_secondDelim_firstEPISODEIDDelim_secondDelim_firstBUSINESSUNITDelim_secondnullDelim_firstAIRINGDATEDelim_second|**
2017-01-24|05:19:30+0000|TRANSACTIONDelim_secondUSER_LOGOUTDelim_firstCONSUMERIDDelim_second1583e83882b8e7Delim_firstTRANSACTIONDATEDelim_second17-01-24 05:19:26Delim_firstCHANNELIDDelim_secondDelim_firstSHOWIDDelim_secondDelim_firstEPISODEIDDelim_secondDelim_firstBUSINESSUNITDelim_secondbu002Delim_firstAIRINGDATEDelim_second24-Jan-2017|**
2017-01-24|05:21:59+0000|TRANSACTIONDelim_secondVIEW_PRIVACY_POLICYDelim_firstCONSUMERIDDelim_secondnullDelim_firstTRANSACTIONDATEDelim_second17-01-24 05:21:59Delim_firstCHANNELIDDelim_secondDelim_firstSHOWIDDelim_secondDelim_firstEPISODEIDDelim_secondDelim_firstBUSINESSUNITDelim_secondnullDelim_firstAIRINGDATEDelim_second|**
2017-01-24|05:59:25+0000|TRANSACTIONDelim_secondUSER_LOGOUTDelim_firstCONSUMERIDDelim_second1586a2aa4bc18fDelim_firstTRANSACTIONDATEDelim_second17-01-24 05:59:21Delim_firstCHANNELIDDelim_secondDelim_firstSHOWIDDelim_secondDelim_firstEPISODEIDDelim_secondDelim_firstBUSINESSUNITDelim_secondbu002Delim_firstAIRINGDATEDelim_second24-Jan-2017|**
2017-01-24|05:59:36+0000|TRANSACTIONDelim_secondUSER_LOGOUTDelim_firstCONSUMERIDDelim_second1583e83882b8e7Delim_firstTRANSACTIONDATEDelim_second17-01-24 05:59:31Delim_firstCHANNELIDDelim_secondDelim_firstSHOWIDDelim_secondDelim_firstEPISODEIDDelim_secondDelim_firstBUSINESSUNITDelim_secondbu002Delim_firstAIRINGDATEDelim_second24-Jan-2017|**
2017-01-24|06:04:25+0000|TRANSACTIONDelim_secondUSER_LOGOUTDelim_firstCONSUMERIDDelim_secondc4115f53-3798-4c9e-9bfd-506c842aff96Delim_firstTRANSACTIONDATEDelim_second17-01-24 06:04:24Delim_firstCHANNELIDDelim_secondDelim_firstSHOWIDDelim_secondDelim_firstEPISODEIDDelim_secondDelim_firstBUSINESSUNITDelim_secondbu002Delim_firstAIRINGDATEDelim_second|**
2017-01-24|06:05:07+0000|TRANSACTIONDelim_secondUSER_LOGINDelim_firstCONSUMERIDDelim_secondc4115f53-3798-4c9e-9bfd-506c842aff96Delim_firstTRANSACTIONDATEDelim_second17-01-24 06:05:07Delim_firstCHANNELIDDelim_secondDelim_firstSHOWIDDelim_secondDelim_firstEPISODEIDDelim_secondDelim_firstBUSINESSUNITDelim_secondnullDelim_firstAIRINGDATEDelim_second|**
2017-01-24|06:05:07+0000|TRANSACTIONDelim_secondUSER_LOGINDelim_firstCONSUMERIDDelim_secondc4115f53-3798-4c9e-9bfd-506c842aff96Delim_firstTRANSACTIONDATEDelim_second17-01-24 06:05:07Delim_firstCHANNELIDDelim_secondDelim_firstSHOWIDDelim_secondDelim_firstEPISODEIDDelim_secondDelim_firstBUSINESSUNITDelim_secondbu002Delim_firstAIRINGDATEDelim_second|**

我正在使用 Windows 批处理文件调用 Pentaho 数据集成作业，间歇性地，该作业无限期挂起。

Pentaho 日志中的错误信息如下：

06:43:37,951 ERROR [BlueprintContainerImpl] Unable to start blueprint container for bundle pdi-dataservice-server-plugin due to unresolved dependencies [(objectClass=org.pentaho.metaverse.api.ILineageClient)]
java.util.concurrent.TimeoutException
    at org.apache.aries.blueprint.container.BlueprintContainerImpl$1.run(BlueprintContainerImpl.java:336)
    at org.apache.aries.blueprint.utils.threading.impl.DiscardableRunnable.run(DiscardableRunnable.java:48)
    at java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source)
    at java.util.concurrent.FutureTask.run(Unknown Source)
    at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(Unknown Source)
    at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(Unknown Source)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source)
    at java.lang.Thread.run(Unknown Source)

我能够在类似的行中找到一些问题，这表明这是一个缓存问题。请帮忙 ！

我正在创建两个 S4 类，其中 Employee 类继承自另一个 Person 类。

这两个类的定义如下：

setClass("Person", slots = list(name="character", age="numeric"))\n\nsetClass("Employee", slots = list(boss="Person"))\n

我正在为这两个类创建一个实例，

alice <- new("Person", name="Alice", age = 40)\n

这效果很好，但是当我尝试使用以下命令创建 Employee 实例时：

john <- new("Employee", name = "John", age = 20, boss= alice)\n

它给出的错误如下：

Error in initialize(value, ...) : \n  invalid names for slots of class \xe2\x80\x9cEmployee\xe2\x80\x9d: name, age\n

我不能以这种方式创建对象吗？

尝试为基于文本的多标签分类问题训练单层神经网络。

model= Sequential()
model.add(Dense(20, input_dim=400, kernel_initializer='he_uniform', activation='relu'))
model.add(Dense(9, activation='sigmoid'))
model.compile(loss='binary_crossentropy', optimizer='adam')

model.fit(x_train, y_train, verbose=0, epochs=100)

收到错误为：

ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type numpy.ndarray).

x_train 是一个 300 维的 word2vec 矢量化文本数据，每个实例填充到 400 长度。包含 462 条记录。

对训练数据的观察如下：

print('#### Shape of input numpy array #####')
print(x_train.shape)
print('#### Shape of each element in the array #####')
print(x_train[0].shape)
print('#### Object type for input data #####')
print(type(x_train))
print('##### Object type for first element of input data ####')
print(type(x_train[0]))

#### Shape …

我正在使用以下 Curl 请求：

curl -s -X POST -H "Content-Type: application/json" --data-binary @request.json https://speech.googleapis.com/v1/speech:recognize?key=**************************

它给了我如下错误：

Anonymous caller does not have storage.objects.get access to g_stt/abc.flac

我有一个脚本如下：

#!/bin/bash

if [ -z "$1" ]; then
        echo "Missing output folder name"
        exit 1
fi

split -l 10000 --additional-suffix=.ordtmp orders.txt orders

for f in `ls *.ordtmp`; do
        if [ "$2" == "local" ]; then
                mv $f $1
        else
                hdfs dfs -copyFromLocal $f $1
                rm -f $f
        fi
        sleep 3
done

当我尝试运行它时，出现以下错误：

(base) 01HW993798:ch06 tcssig$ ./splitAndSend.sh
Missing output folder name

文件是否期望在运行时提及输出文件夹？