所以我运行了brew doctor,结果如下:
Warning: "config" scripts exist outside your system or Homebrew directories.
`./configure` scripts often look for *-config scripts to determine if
software packages are installed, and what additional flags to use when
compiling and linking.
Having additional scripts
我正在尝试使用tensorflow估计器api对用于DNN回归的ai-engine进行超参数调优。但是在提交作业后,它显示作业失败,并且我在作业详细信息中收到此错误。
有人能帮帮忙吗?
Hyperparameter Tuning Trial #1 Failed before any other successful trials were completed. The failed trial had parameters: learning_rate=0.0019937718716419557, num-layers=2, first-layer-size=148, scale-factor
我已经安装了JENKINS并创建了一个bob,但是由于下面的错误,作业失败了,我尝试了很多事情,比如授予权限,但是都无法让它运行。
谁能让我知道原因是什么,以及如何让它运行。?
13:45:49 Started by timer
13:45:49 Running as SYSTEM
13:45:49 Building in workspace /Users/it/.jenkins/workspace/CE
13:45:49 [google_crawler] $ /bin/sh -xe /var/folders/t2/sk1vw_mn7mz7ncjw75lzh7r40000gn/T/jenkin
运行时: mkvirtualenv测试
我得到以下错误:
File "/usr/lib/python3/dist-packages/virtualenv.py", line 2378, in <module>
main()
File "/usr/lib/python3/dist-packages/virtualenv.py", line 830, in main
symlink=options.symlink)
File "/usr/lib/python3/dist-packages/virtualenv.py
如何将新的File方法替换为安全的方法?创建python脚本并连接它是可能的吗?
在代码中,我遇到了一个问题:
def template Name = new File(file: "${template}").normalize.name.replace(".html", "").replace(".yaml", "")
但是当我运行我的管道时,我会得到错误。
java.lang.SecurityException: Unable to find constructor: new java.io .File ja
我对airflow是个新手,我只是按照教程来运行dag。实际上我成功地完成了,但问题是当我尝试通过输入命令行(如airflow pause dag_id )来暂停dag时,它抛出AttributeError: 'NoneType' object has no attribute 'is_paused'
回溯是:
File "/anaconda3/bin/airflow", line 32, in <module>
args.func(args)
File "/anaconda3/lib/python3.6/site
当我尝试以下程序时:
import wave
w = wave.open('f.wav', 'r')
for i in range():
frame = w.readframes(i)
出现以下错误:
Traceback (most recent call last):
File "F:/Python31/fg.py", line 2, in <module>
w = wave.open('f.wav', 'r')
File "F:\Pytho
我正在尝试在Dask中进行简单的并行计算。这是我的代码。
import time
import dask as dask
import dask.distributed as distributed
import dask.dataframe as dd
import dask.delayed as delayed
from dask.distributed import Client,progress
client = Client('localhost:8786')
df = dd.read_csv('file.csv')