TimeMachine | See README | Date Time Utils library

I am working with OpenWeatherMapAPI to calculate the sum of precipitation for the previous 5 days. To do this I have 5 async functions with api calls using the fetch api. The data received, that concerns me, is the hourly historic weather data spanning a 24 hour period. Full code bellow. The json response is stored to a constant (Ex.const histData1) where it is then iterated through to sum all of one values over that given 24 hour period. Note: humidity is used as a proof of concept because it hasnt rained here in awhile

I am working with OpenWeatherMap API to calculate the sum of precipitation for the previous 5 days. I have no issues accessing values such as humidity or temp, but I am having issues totaling all rain values of the previous 5 days. rain is only available in the object response with it is actually measured. here is an example of what it look like when rain is measured:

You can see that rain is under hourly.18.rain['1h']. My issue comes in totaling them all.

Here is my full code:

This is an issue I have had for years now. It wasn't a problem since I only used Xcode time to time but now that I'm starting developing for iOS, it is more important.

When working on a project, no matter the language I'm using, switching between files takes a minimum of 2 seconds. The problem doesn't occur when switching between tabs.

I had this issue on my old MacBook Pro 13" 2011 and it followed me on my new 16" (TimeMachine imported). My friend who is still working on a 2011 13" doesn't have the same issue and I can't find any one on internet who has it.

I have already uninstalled Xcode and deleted all "background files" (following these instructions: How to Completely Uninstall Xcode and Clear All Settings), no developper account registered, no custom theme in Xcode and the macOS console only show three small errors, here are they just in case:

I am trying to find out what is the best building to buy in Cookie Clicker at any time. Right now, I am having trouble with the last line. 'cost[number] = basecost[number]* 1.15**(amount-free)'. It says 'KeyError: 0', and I have no idea what that means so forgive me for the vague title. Also if you can tell me ways to optimize it, because I doubt copying and pasting dictionaries is a good way to go about this.

I've been following this article to try optimize my samba setup for macOS and enable me to backup to it via TimeMachine.

Implementing the suggestions at the bottom of the article I'm still able to read from my share and copy data too it but am unable to create new folders or rename existing ones. As seen in the screenshot I'm given this error when trying to create a folder called "hello" but it reverts to "untitled folder". The folder is actually created and exists the remote share but the name doesn't stick.

I get another error when trying to delete the folder which can be seen in the image below.

If I try to copy over a text file on its own as seen in the screenshot below I receive a different error. The file is copied over and retains its name but the contents are lost.

If I place that same file in a folder and copy the whole folder over there is no error and both the folder and file retain their names and the file retains its contents.

However, if I try to delete this folder containing the text file I am confronted with the error found below. I have checked the file and it is not locked and my current user has read-write permissions (as seen in finders get info).

Here is my current smb.conf file:

TL;DR: Time Machine cannot create a new backup on my shared drive, but can add to an existing backup.

I'm running macOS Catalina and my Time Machine backs up to a Debian 10 server with NetAtalk and Avahi. Since Mavericks macOS has preferred SMB, and given SMB is marginally faster I decided to switch to using SMB for the Time Machine shares. On a fresh AFP share I can start a new Time Machine backup in System Preferences and it will create a new .sparseimage without complaint.

If I use the exact same directory (/usr/local/smb), so same permissions etc, and create a samba share, when Time Machine attempts to create a new backup it give the error: "Time Machine couldn’t complete the backup to SERVER.local. The backup disk image could not be created."

If I first connect to the share with AFP and do the initial backup, I can then connect with SMB and add subsequent incremental backups without error. I thought maybe a permissions issue, but for debugging purposes I have /usr/local/smb set to 0777 and still get the error.

ls -la showing permissions of the share point:

I'm working to automate our monthly reporting process from a webpage. The download is in .xls format, and I am trying to convert it to .xlsx so I can manipulate it with openpyxl. The code downloads the Excel file to my computer, but I have not been able to get the file to open successfully using openpyxl or xlrd because I get a UnicodeDecodeError.

After reading a thread at Github I tried opening the file manually and re-running the code, and the file was able to open successfully. However as he says in the thread, having to open the file manually defeats the purpose of automating the process. Does anyone know how I can get past this?

This is the code that throws the error:

I'm trying to create a Druid datasource from Hive and I'm using table Hive for it.

First, I created a database Hive : database_hive then, I created a table in this database.

I'm trying to use the R sentimentr package on Azure ML Studio. As this package is not supported, I'm trying to install it and its dependencies as described in the documentation.

The steps that I have performed are:

• downloaded Windows binaries from the R Open 3.4.4 snapshot at CRAN time machine

  • sentimentr_2.2.3.zip
  • syuzhet_1.0.4.zip
  • textclean_0.6.3.zip
  • lexicon_0.7.4.zip
  • textshape_1.5.0.zip

• zipped those zip files into a zipped folder packages.zip

• uploaded packages.zip as a dataset to Microsoft Azure ML Studio

In my ML experiment I connect the packages.zip dataset to the "Script Bundle (Zip)" input port on "Execute R Script" and include this code: