bullock | Distributed lock for Python using Redis
kandi X-RAY | bullock Summary
kandi X-RAY | bullock Summary
Distributed lock for Python using Redis
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Top functions reviewed by kandi - BETA
- initialize keypair
- Acquire the lock .
- Connect to redis .
- Wait for the lock .
- Enter the lock .
- Exit the program .
- Returns whether the key is released .
- Renew the lock .
- Return the time to expire .
bullock Key Features
bullock Examples and Code Snippets
Community Discussions
Trending Discussions on bullock
QUESTION
I have been trying to resolve an issue being thrown at runtime where the recyclerview I am using is null. From most examples of this error message I have seen online it is usually when using a RecyclerView is being used in a fragment. This RecyclerView is just being used in a normal Kotlin Activity.
Error When OrderActivity.kt is opened
...ANSWER
Answered 2021-Mar-01 at 12:55setContentView(R.layout.activity_main)
QUESTION
I am new to Stackflow so I apologize in advance if my question isn't completely clear.
I am using R.
So I have 2 data frames.. one is Census Bureau data containing all counties in the United States and if they are classified as rural or urban. In my other dataframe, I have iNaturalist occurrence data of a moth species and I have counties and states for those occurrences.
I want to mutate a new column in the iNaturalist dataframe classifying each county and state as urban or rural using the Census Bureau data. However, I don't know how to narrow down the county data or link it to urban/rural like it is in the Census Bureau data. I'm just not sure how to achieve it through code. I've included code for heads of both dataframes. Thanks in advance for the help!
...ANSWER
Answered 2021-Jan-28 at 19:33I feel like this won't work here is what I tried to solve your problem. The problem is that there are likely duplicated county names in different states. I tried to solve that problem but it is hard to tell if what I did will work without having access to the full datasets. There is also a high likelihood that county names are structured differently between the two data sets, for example, st clair could be written as st. clair or saint clair in the census bureau dataset. If the datasets are publically available I would be happy to take a look
QUESTION
I would like to parse this text file:
https://www2.census.gov/programs-surveys/saipe/datasets/1995/1995-state-and-county/est95all.dat
The biggest issue, is that the first two lines have information that most lines do not have. Essentially these values should be NA
in the subsequent columns.
I have been messing around with library(readr)
a bit and the best easy solution is:
ANSWER
Answered 2020-Dec-24 at 09:18Here's an option scraping the information of the codebook @MrFlick found. Examining it, we see that the positions are all in somewhat a dd- dd texttext
format. We read it in, using readLines
and subset it to the lines with those formats. We replace the "-"
with two spaces using gsub
and use strsplit
which gives us three columns each—position start/stop and name.
QUESTION
Input df(example)
...ANSWER
Answered 2020-Oct-30 at 10:22You can use numpy.select
with Series.isin
and join columns with +
:
QUESTION
In R-Shiny. Trying to break up a really long reactive function (thousands of lines!). Hypothetically, is it possible to nest conditional reactive functions, something similar to:
...ANSWER
Answered 2020-Aug-11 at 05:34Got it!
yes, you (I) can nest reactive functions.
QUESTION
I'm trying to make a program that will read a data file, sort of like this:
...ANSWER
Answered 2020-Jul-31 at 19:45You have a bug in for loop, while reading from file. Instead of fixing it, there is a simpler way to read all lines from file in Java.
QUESTION
Why do I get an overflow exception even if I apply the unchecked
operator on an expression?
ANSWER
Answered 2020-Jun-01 at 11:42I managed to reproduce this issue with the simplified code below. It seems to me like a bug, or at least as an undocumented limitation of the Aggregate
method. It fails after enumerating a number of around Int32.MaxValue
elements.
QUESTION
I have a df1 like this:
...ANSWER
Answered 2020-Mar-30 at 04:25You can subset your dataframe and perform the t.test:
QUESTION
There is a task to parse the csv file and create instances in the database based on the received data. On the backend - DRF and at the front - React. The specific feature is that the file processing is not quite hidden. The logic is as follows: There is a button to load the file. The file is loaded and validated, but nothing is created in the database at once. A window appears with a list of saved data (like a table) and in this window there is a new button to confirm by clicking on which the database is already requested.
What I just did: 1. Created a class to download the file (Upload button)
...ANSWER
Answered 2020-Feb-18 at 14:49You iterating over dict key, but should iterate over items:
QUESTION
I have a DRF class which receives JSON date and after it has been processed, create new database instances.
...ANSWER
Answered 2020-Feb-20 at 10:37For the 1st problem, it's because "Belgium" is not in your choices. Choice tuples are basically (accepted_value, human_readable_value)
. So when you write ("BE", "Belgium")
, only "BE" will be considered as a valid choice. And it will be SHOWN as "Belgium" in your admin.
If you wanted to accept both (which might not be necessary), there are several ways to go:
- Add more tuples :
(("BE", "Belgium"), ("Belgium", "Belgium"))
- Create a custom validator for the field
For your 2nd error "" is not valid date
, it's because an empty string is not a valid value for a Date object in Django. Check out this topic, who had the same issue : DateTime Field shows invalid format error while passing empty value through form
Basically, you should either OMIT the field, or replace the "" value with None
before pushing it
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Install bullock
You can use bullock like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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