bucket | Uses Pyglet

 by   latrokles Python Version: Current License: No License

kandi X-RAY | bucket Summary

kandi X-RAY | bucket Summary

bucket is a Python library. bucket has no bugs, it has no vulnerabilities and it has low support. However bucket build file is not available. You can download it from GitHub.

Bucket is a game in which the player has to collect falling drops of water in a, you guessed it, a bucket! For every drop of water collected, the player scores some points. If player fails to collect x amount of drops before a y amount hits the floor, then player loses. There are other objects falling down that may affect the player score if caught. In a machine using a sudden motion sensor (a laptop, presumably) the player can control the direction in which the bucket is moving by tilting their laptop. In other machines, the player should still be able to use the arrow keys.
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            kandi-support Support

              bucket has a low active ecosystem.
              It has 4 star(s) with 1 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              bucket has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of bucket is current.

            kandi-Quality Quality

              bucket has no bugs reported.

            kandi-Security Security

              bucket has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              bucket does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              bucket releases are not available. You will need to build from source code and install.
              bucket has no build file. You will be need to create the build yourself to build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed bucket and discovered the below as its top functions. This is intended to give you an instant insight into bucket implemented functionality, and help decide if they suit your requirements.
            • Main game .
            Get all kandi verified functions for this library.

            bucket Key Features

            No Key Features are available at this moment for bucket.

            bucket Examples and Code Snippets

            copy iconCopy
            const bucketSort = (arr, size = 5) => {
              const min = Math.min(...arr);
              const max = Math.max(...arr);
              const buckets = Array.from(
                { length: Math.floor((max - min) / size) + 1 },
                () => []
              );
              arr.forEach(val => {
                buckets[Ma  
            Create a new categorical column with the given hash bucket .
            pythondot img2Lines of Code : 67dot img2License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def categorical_column_with_hash_bucket(key,
                                                    hash_bucket_size,
                                                    dtype=dtypes.string):
              """Represents sparse feature where ids are set by hashing.
            
              Use this when your sp  
            Create a new CategoricalColumn with the given hash bucket .
            pythondot img3Lines of Code : 56dot img3License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def _categorical_column_with_hash_bucket(key,
                                                     hash_bucket_size,
                                                     dtype=dtypes.string):
              """Represents sparse feature where ids are set by hashing.
            
              Use this when your  
            Create a new sequence column with a hash bucket .
            pythondot img4Lines of Code : 43dot img4License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def sequence_categorical_column_with_hash_bucket(
                key, hash_bucket_size, dtype=dtypes.string):
              """A sequence of categorical terms where ids are set by hashing.
            
              Pass this to `embedding_column` or `indicator_column` to convert sequence
              categ  

            Community Discussions

            QUESTION

            Copy files incrementally from S3 to EBS storage using filters
            Asked 2021-Jun-15 at 15:28

            I wish to move a large set of files from an AWS S3 bucket in one AWS account (source), having systematic filenames following this pattern:

            ...

            ANSWER

            Answered 2021-Jun-15 at 15:28

            You can use sort -V command to consider the proper versioning of files and then invoke copy command on each file one by one or a list of files at a time.

            ls | sort -V

            If you're on a GNU system, you can also use ls -v. This won't work in MacOS.

            Source https://stackoverflow.com/questions/67985694

            QUESTION

            How to decode dictionary column when using pyarrow to read parquet files?
            Asked 2021-Jun-15 at 13:59

            I have three .snappy.parquet files stored in an s3 bucket, I tried to use pandas.read_parquet() but it only work when I specify one single parquet file, e.g: df = pandas.read_parquet("s3://bucketname/xxx.snappy.parquet"), but if I don't specify the filename df = pandas.read_parquet("s3://bucketname"), this won't work and it gave me error: Seek before start of file.

            I did a lot of reading, then I found this page

            it suggests that we can use pyarrow to read multiple parquet files, so here's what I tried:

            ...

            ANSWER

            Answered 2021-Jun-15 at 13:59

            You have a column with a "struct type" and you want to flatten it. To do so call flatten before calling to_pandas

            Source https://stackoverflow.com/questions/67986881

            QUESTION

            Give read/write access to an S3 bucket to a specific Cognito user group
            Asked 2021-Jun-15 at 12:03

            I have users in a Cognito user pool, some of whom are in an Administrators group. These administrators need to be allowed to read/write to a specific S3 bucket, and other users must not.

            To achieve this, I assigned a role to the Administrators group which looked like this:

            ...

            ANSWER

            Answered 2021-Jun-15 at 12:03

            The solution lies in the federated identity pool's settings.

            By default the identity pool will provide the IAM role that it's configured with. In other words, one of either the "unauthenticated role" or the "authenticated role" that it's set up with.

            But it can be told instead to provide a role specified by the authentication provider. That's what will solve the problem here.

            1. In the AWS console, in Cognito, open the relevant identity pool.
            2. Click "Edit identity pool" (top right)
            3. Expand "Authentication Providers"
            4. Under Authenticated Role Selection, choose "Choose role from token".

            That will allow Cognito to specify its own roles, and you will find that the users get the privileges of their group.

            Source https://stackoverflow.com/questions/67713772

            QUESTION

            AWS S3 lambda function doesn't trigger when upload large file
            Asked 2021-Jun-15 at 11:35

            I have 2 buckets on the S3 service. I have a lambda function "create-thumbnail" that triggered when an object is created into an original bucket, if it is an image, then resize it and upload it into the resized bucket.

            Everything is working fine, but the function doesn't trigger when I upload files more than 4MB on the original bucket.

            Function configurations are as follow,

            • Timeout Limit: 2mins
            • Memory 10240
            • Trigger Event type: ObjectCreated (that covers create, put, post, copy and multipart upload complete)
            ...

            ANSWER

            Answered 2021-Jun-15 at 11:35

            Instead of using the lambda function, I have used some packages on the server and resize the file accordingly and then upload those files on the S3 bucket. I know this is not a solution to this question, but that's the only solution I found

            Thanks to everyone who took their time to investigate this.

            Source https://stackoverflow.com/questions/67917878

            QUESTION

            New button after all elements have been loaded
            Asked 2021-Jun-14 at 23:06

            4 rows are stored here. Each new row is displayed when the LOAD MORE button is pressed. Each row is displayed as it should and the code works without problems. When the end is reached, a Go button should appear pointing to another page.

            What's the best way to do this? I have included the code as an example.

            ...

            ANSWER

            Answered 2021-Jun-14 at 09:37

            One way is to just rename the button when you get to the end. Then you can just test it in the $('#load-more').click(function() function.

            First, move the numberLeft variable out of it's function so that other functions can access it. When numberLeft === 0 just rename the button with $('#load-more').text("GO ->")

            Source https://stackoverflow.com/questions/67967847

            QUESTION

            Apache Beam Python gscio upload method has @retry.no_retries implemented causes data loss?
            Asked 2021-Jun-14 at 18:49

            I have a Python Apache Beam streaming pipeline running in Dataflow. It's reading from PubSub and writing to GCS. Sometimes I get errors like "Error in _start_upload while inserting file ...", which comes from:

            ...

            ANSWER

            Answered 2021-Jun-14 at 18:49

            In a streaming pipeline, Dataflow retries work items running into errors indefinitely.

            The code itself does not need to have retry logic.

            Source https://stackoverflow.com/questions/67972758

            QUESTION

            generate a one-column table that contains hundreds of different categories using M or DAX
            Asked 2021-Jun-14 at 18:34

            I need to split my products into a total of 120 predefined price clusters/buckets. These clusters can overlap and look somewhat like that:

            As I dont want to write down all of these strings manually: Is there a convenient way to do this in M or DAX directly using a bit of code?

            Thanks in advance! Dave

            ...

            ANSWER

            Answered 2021-Jun-11 at 19:22

            You can create this bucket by DAX (New Table):

            Source https://stackoverflow.com/questions/67938202

            QUESTION

            “500 Internal Server Error” with job artifacts on minio
            Asked 2021-Jun-14 at 18:30

            I'm running gitlab-ce on-prem with min.io as a local S3 service. CI/CD caching is working, and basic connectivity with the S3-compatible minio is good. (Versions: gitlab-ce:13.9.2-ce.0, gitlab-runner:v13.9.0, and minio/minio:latest currently c253244b6fb0.)

            Is there additional configuration to differentiate between job-artifacts and pipeline-artifacts and storing them in on-prem S3-compatible object storage?

            In my test repo, the "build" stage builds a sparse R package. When I was using local in-gitlab job artifacts, it succeeds and moves on to the "test" and "deploy" stages, no problems. (And that works with S3-stored cache, though that configuration is solely within gitlab-runner.) Now that I've configured minio as a local S3-compatible object storage for artifacts, though, it fails.

            ...

            ANSWER

            Answered 2021-Jun-14 at 18:30

            The answer is to bypass the empty-string test; the underlying protocol does not support region-less configuration, nor is there a configuration option to support it.

            The trick is able to work because the use of 'endpoint' causes the 'region' to be ignored. With that, setting the region to something and forcing the endpoint allows it to work:

            Source https://stackoverflow.com/questions/67005428

            QUESTION

            Put-object on private Amazon S3 from a Lambda function leads to timeout
            Asked 2021-Jun-14 at 15:35

            I'm pretty new to AWS Lambda functions.

            OBJECTIVE:

            I'm trying to get a .xlsx file from a website and put it on a private Amazon S3 bucket.

            PROBLEM:

            The following code leads to a timeout when running the put_object function and I don't know how doing now ... What am I doing wrong? I'm so close...
            This code works on our backend to write to a file.

            CODE: ...

            ANSWER

            Answered 2021-Jun-14 at 09:42

            Based on the comments.

            The issue was caused by a default lambda timeout of 3 seconds. Increasing the timeout in AWS console was the solution to the problem reported.

            Source https://stackoverflow.com/questions/67967593

            QUESTION

            Is it possible to set a version name of a file in a s3 bucket?
            Asked 2021-Jun-14 at 13:00

            I have a current solution for my s3 bucket where I store exe files with specific versions like:

            • s3://my-bucket
              • /latest
                • my-exe-v1.xxx3.exe
              • /history
                • my-exe-v1.xxx2.exe
                • my-exe-v1.xxx1.exe
                • ...

            Is it possible for versionned bucket to set the version name ? In my case it would allow to get the bucket like:

            • s3://my-bucket
              • my-exe.exe -> contains versions (v1.xxx1,v1.xxx2,v1.xxx3, ...)
            ...

            ANSWER

            Answered 2021-Jun-14 at 13:00

            S3 does not support naming a specific version. Instead it uses unique version IDs to differentiate among multiple versions of the same object. The main purpose of object versioning is to enable you to restore objects that are accidentally deleted or overwritten and compliance reasons.

            Common practice to achieve what you want is to set versions as part of the objects' key, i.e., like a folder per version. For example, you could decide to have s3://my-bucket/V1/my-object and so on.

            Beat, Stefan

            Source https://stackoverflow.com/questions/67968295

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install bucket

            You can download it from GitHub.
            You can use bucket 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.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
            Find more information at:

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            CLONE
          • HTTPS

            https://github.com/latrokles/bucket.git

          • CLI

            gh repo clone latrokles/bucket

          • sshUrl

            git@github.com:latrokles/bucket.git

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