assume | simple CLI utility that makes it easier to switch | Cloud Functions library
kandi X-RAY | assume Summary
kandi X-RAY | assume Summary
assume is a simple CLI utility that makes it easier to switch between different AWS roles. This is helpful when you work with different AWS accounts or users. In addition, this utility is helpful when you develop AWS resources locally (such as an application that will run on EC2 or when running a Lambda function locally using AWS SAM). You can easily switch to a role that your EC2 instance / Lambda function will assume in AWS. What this command actually does is change your AWS credentials file (~/.aws/credentials). If there is a default role in there, it will be stored in a temporary role. The assumed role is then passed in the default role, so you can immediately start using it.
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Top functions reviewed by kandi - BETA
- Switch to role
- Clear credentials from config file
- Add a role to the configuration
- Dump the configuration
- Clear credentials
- Parse command line arguments
- Remove a role
- Return the configuration as a string
assume Key Features
assume Examples and Code Snippets
Community Discussions
Trending Discussions on assume
QUESTION
Assume I have a class with three lists as follows:
...ANSWER
Answered 2021-Jun-16 at 03:33If you'd like to create a method in your class I suggest you can use the following.
QUESTION
I'm normally OK on the joining and appending front, but this one has got me stumped.
I've got one dataframe with only one row in it. I have another with multiple rows. I want to append the value from one of the columns of my first dataframe to every row of my second.
df1:
id Value 1 worddf2:
id data 1 a 2 b 3 cOutput I'm seeking:
df2
id data Value 1 a word 2 b word 3 c wordI figured that this was along the right lines, but it listed out NaN for all rows:
...ANSWER
Answered 2021-Jun-15 at 23:59Just get the first element in the value column of df1 and assign it to value column of df2
QUESTION
I have created a GCP service account with org viewer permissions (I assume therefore having read rights in all projects)
...ANSWER
Answered 2021-Jun-15 at 20:49The error messages states that the service account does not have the permission compute.disks.list.
What permissions does the role roles/resourcemanager.organizationViewer have?
QUESTION
I have timecodes with this structure hh:mm:ss.SSS for which i have a own Class, implementing the Temporal Interface.
It has the custom Field TimecodeHour Field allowing values greater than 23 for hour.
I want to parse with DateTimeFormatter. The hour value is optional (can be omitted, and hours can be greater than 24); as RegEx (\d*\d\d:)?\d\d:\d\d.\d\d\d
For the purpose of this Question my custom Field can be replaced with the normal HOUR_OF_DAY Field.
My current Formatter
...ANSWER
Answered 2021-Jun-11 at 11:06I think fundamentally the problem is that it gets stuck going down the wrong path. It sees a field of length 2, which we know is the minutes but it believes is the hours. Once it believes the optional section is present, when we know it's not, the whole thing is destined to fail.
This is provable by changing the minimum hour length to 3.
QUESTION
I read this answer, which clarified a lot of things, but I'm still confused about how I should go about designing my primary key.
First off I want to clarify the idea of WCUs. I get that WCU is the write capacity of max 1kb per second. Does it mean that if writing a piece of data takes 0.25 seconds, I would need 4 of those to be billed 1 WCU? Or each time I write something it consumes 1 WCU, but I could also write X times within 1 second and still be billed 1 WCU?
Usage
I want to create a table that stores the form data for a set of gyms (95% will be waivers, the rest will be incidents reports). Most of the time, each forms will be accessed directly via its unique ID. I also want to query the forms by date, form, userId, etc..
We can assume an average of 50k forms per gym
Options
First option is straight forward: having the formId be the partition key. What I don't like about this option is that scan operations will always filter out 90% of the data (i.e. the forms from other gyms), which isn't good for RCUs.
Second option is that I would make the gymId the partition key, and add a sort key for the date, formId, userId. To implement this option I would need to know more about the implications of having 50k records on one partition key.
Third option is to have one table per gyms and have the formId as partition key. This seems to be like the best option for now, but I don't really like the idea of having a a large number of tables doing the same thing in my account.
Is there another option? Which one of the three is better?
Edit: I'm assuming another option would be SimpleDB?
...ANSWER
Answered 2021-May-21 at 20:26For your PK design. What data does the app have when a user is going to look for a form? Does it have the GymID, userID, and formID? If so, make a compound key out of that for the PK perhaps? So your PK might look like:
QUESTION
I am trying to create scatter plots of all the combinations for the columns: insulin, sspg, glucose (mclust, diabetes dataset, in R) with class as the colo(u)r. By that I mean insulin with sspg, insulin with glucose and sspg with glucose.
And I would like to do that with tidyverse, purrr, mappings and pipe operations. I can't quite get it to work, since I'm relatively new to R and functional programming.
When I load the data I've got the columns: class, glucose, insulin and sspg. I also used pivot_longer to get the columns: attr and value but I was not able to plot it and don't know how to create the combinations.
I assume that there will be an iwalk() or map2() function at the end and that I might have to use group_by() and nest() and maybe combn(., m=2) for the combinations or something like that. But it will probably have some way simpler solution that I can not see myself.
My attempts have amounted to this:
...ANSWER
Answered 2021-Jun-15 at 17:34library(mclust)
#> Package 'mclust' version 5.4.7
#> Type 'citation("mclust")' for citing this R package in publications.
library(tidyverse)
data("diabetes")
QUESTION
Here is the question:
...ANSWER
Answered 2021-Jun-15 at 16:06You have to assign the number of elements of the array to return (2 in this case) to what the argument returnSize points at (*returnSize) to tell the judge system how large the array you returned is.
QUESTION
I have a generator object, that loads quite big amount of data and hogs the I/O of the system. The data is too big to fit into memory all at once, hence the use of generator. And I have a consumer that all of the CPU to process the data yielded by generator. It does not consume much of other resources. Is it possible to interleave these tasks using threads?
For example I'd guess it is possible to run the simplified code below in 11 seconds.
...ANSWER
Answered 2021-Jun-15 at 16:02Send your data to separate processes. I used concurrent.futures because I like the simple interface.
This runs in about 11 seconds on my computer.
QUESTION
The Question
How do I best execute memory-intensive pipelines in Apache Beam?
Background
I've written a pipeline that takes the Naemura Bird dataset and converts the images and annotations to TF Records with TF Examples of the required format for the TF object detection API.
I tested the pipeline using DirectRunner with a small subset of images (4 or 5) and it worked fine.
The Problem
When running the pipeline with a bigger data set (day 1 of 3, ~21GB) it crashes after a while with a non-descriptive SIGKILL.
I do see a memory peak before the crash and assume that the process is killed because of a too high memory load.
I ran the pipeline through strace. These are the last lines in the trace:
ANSWER
Answered 2021-Jun-15 at 13:51Multiple things could cause this behaviour, because the pipeline runs fine with less Data, analysing what has changed could lead us to a resolution.
Option 1 : clean your input dataThe third line of the logs you provide might indicate that you're processing unclean data in your bigger pipeline mmap(NULL, could mean that | "Get Content" >> beam.Map(lambda x: x.read_utf8()) is trying to read a null value.
Is there an empty file somewhere ? Are your files utf8 encoded ?
Option 2 : use smaller files as inputI'm guessing using the fileio.ReadMatches() will try to load into memory the whole file, if your file is bigger than your memory, this could lead to errors. Can you split your data into smaller files ?
If files are too big for your current machine with a DirectRunner you could try to use an on-demand infrastructure using another runner on the Cloud such as DataflowRunner
QUESTION
I have a DataFrame like this
ANSWER
Answered 2021-Jun-15 at 12:46Faster is use native pandas functions, which are vectorized, not apply solutions (because apply are loops under the hood) with accessor .dt for apply function for Series/ column:
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