s3io | s3io : An IO-compatible wrapper for S3 in Ruby | AWS library

 by   fiksu Ruby Version: Current License: Non-SPDX

kandi X-RAY | s3io Summary

kandi X-RAY | s3io Summary

s3io is a Ruby library typically used in Cloud, AWS, Amazon S3 applications. s3io has no bugs, it has no vulnerabilities and it has low support. However s3io has a Non-SPDX License. You can download it from GitHub.

An IO-compatible wrapper for S3. Note: this repository was moved to to the maintainer's account. Amazon's official AWS SDK (version 1) provides an API for S3 that isn't compatible with Ruby's standard IO class and its derivatives. This gem provides a thin wrapper around AWS SDK (version 1) that makes it possible to access objects stored on S3 as if they were instances of File or StringIO classes. Both streamed reads and writes are supported.
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            kandi-support Support

              s3io has a low active ecosystem.
              It has 15 star(s) with 9 fork(s). There are 20 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 2 open issues and 1 have been closed. On average issues are closed in 1473 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of s3io is current.

            kandi-Quality Quality

              s3io has 0 bugs and 0 code smells.

            kandi-Security Security

              s3io has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              s3io code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              s3io has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              s3io releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.
              s3io saves you 144 person hours of effort in developing the same functionality from scratch.
              It has 359 lines of code, 47 functions and 7 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed s3io and discovered the below as its top functions. This is intended to give you an instant insight into s3io implemented functionality, and help decide if they suit your requirements.
            • Parse the separator .
            • Read from S3 .
            • Write data to the stream
            • Flush the contents of the file .
            • Closes the S3 object .
            • Get a list of strings .
            • Determine if the resource is available .
            Get all kandi verified functions for this library.

            s3io Key Features

            No Key Features are available at this moment for s3io.

            s3io Examples and Code Snippets

            No Code Snippets are available at this moment for s3io.

            Community Discussions

            QUESTION

            S3 read Sagemaker trained model
            Asked 2019-Jul-16 at 21:42

            Using Amazon Sagemaker, I created an Xgboost model. After unpacking the resulting tar.gz file, I end up with a file "xgboost-model".

            The next step will be to upload the model directly from my S3 bucket, without downloading it using pickle. Here is what I tried:

            ...

            ANSWER

            Answered 2018-Jul-12 at 20:57

            My assumption is you have trained the model using Sagemaker XGBoost built-in algorithm. You would like to use that model and do the predictions in your own hosting environment (not Sagemaker hosting).

            pickle.load(file) reads a pickled object from the open file object file and pickle.loads(bytes_object) reads a pickled object from a bytes object and returns the deserialized object. Since you have the S3 object already downloaded (into memory) as bytes, you can use pickle.loads without using open

            Source https://stackoverflow.com/questions/51305956

            QUESTION

            Sphinx: Unable to open Sphinx/mixture_weights
            Asked 2017-Jul-13 at 15:25

            Im executing this command:

            ...

            ANSWER

            Answered 2017-Jul-13 at 13:50

            You specify wrong hmmdir. Try this

            Source https://stackoverflow.com/questions/45081781

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

            Vulnerabilities

            No vulnerabilities reported

            Install s3io

            Add this line to your application's Gemfile:.

            Support

            Fork itCreate your feature branch (git checkout -b my-new-feature)Commit your changes (git commit -am 'Add some feature')Push to the branch (git push origin my-new-feature)Create new Pull Request
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            https://github.com/fiksu/s3io.git

          • CLI

            gh repo clone fiksu/s3io

          • sshUrl

            git@github.com:fiksu/s3io.git

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