deduplication | Remove duplicate documents/videos/images | Computer Vision library

 by   Marcnuth Python Version: 0.0.3 License: Apache-2.0

kandi X-RAY | deduplication Summary

kandi X-RAY | deduplication Summary

deduplication is a Python library typically used in Artificial Intelligence, Computer Vision, OpenCV, Example Codes applications. deduplication has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install deduplication' or download it from GitHub, PyPI.

Remove duplicate documents via popular algorithms such as SimHash, SpotSig, Shingling, etc.
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              deduplication has a low active ecosystem.
              It has 7 star(s) with 3 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              deduplication has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of deduplication is 0.0.3

            kandi-Quality Quality

              deduplication has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              deduplication is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              deduplication releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed deduplication and discovered the below as its top functions. This is intended to give you an instant insight into deduplication implemented functionality, and help decide if they suit your requirements.
            • Simhash text
            • Compute hash of tokens
            • Tokenize text
            • Generator for Sentencizer
            • Compute a simhash of text
            • Read a file
            Get all kandi verified functions for this library.

            deduplication Key Features

            No Key Features are available at this moment for deduplication.

            deduplication Examples and Code Snippets

            Deduplicate all read - only buffers .
            pythondot img1Lines of Code : 117dot img1License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def deduplicate_readonly_buffers(tflite_model):
              """"Generates a new model byte array after deduplicating readonly buffers.
            
              This function should be invoked after the model optimization toolkit. The
              model optimization toolkit assumes that each t  
            Generates a list of hosts .
            pythondot img2Lines of Code : 56dot img2License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def expand_hostlist(hostlist):
              """Create a list of hosts out of a SLURM hostlist.
            
              The order of nodes is preserved and no deduplication is done
              Input: 'n[1-2],m5,o[3-4,6,7-9]')
              Output: ['n1', 'n2', 'm5', 'o3', 'o4', 'o6', 'o7', 'o8', 'o9']
                

            Community Discussions

            QUESTION

            Do views of tables in BigQuery benefit from partitioning/clustering optimization?
            Asked 2021-May-18 at 04:01

            We have a few tables in BigQuery that are being updated nightly, and then we have a deduplication process doing garbage collection slowly.

            To ensure that our UI is always showing the latest, we have a view setup for each table that simply does a SELECT WHERE on the newest timestamp record_id combination

            We're about to setup partitioning and clustering to optimize query scope/speed and I couldn't find a clear answer in Google documentation on whether the view of that table will still have partitioned queries or it will end up querying all data.

            Alternatively when we create the view, can we include the partition and cluster on in the query that builds the view?

            ...

            ANSWER

            Answered 2021-May-10 at 18:57

            If you're talking about a logical view, then yes if the base table it references is clustered/partitioned it will use those features if they're referenced from the WHERE clause. The logical view doesn't have its own managed storage, it's just effectively a SQL subquery that gets run whenever the view is referenced.

            If you're talking about a materialized view, then partitioning/clustering from the base table isn't inherited, but can be defined on the materialized view. See the DDL syntax for more details: https://cloud.google.com/bigquery/docs/reference/standard-sql/data-definition-language#create_materialized_view_statement

            Source https://stackoverflow.com/questions/67475182

            QUESTION

            How do I write a mysql query to get a list of records from one table with columns concatenated from multiple other tables
            Asked 2021-May-02 at 18:53

            My question is similar to this one: MySQL concatenate values from one table into a record of another

            But it's not the same, I think because I'm trying to make use of multiple concatenated columns from several other tables.

            Here are my tables:

            ...

            ANSWER

            Answered 2021-May-02 at 18:53

            So you have a Cartesian product between Collaborators and Images. Thus both are multiplied by the number of results in the other.

            You could run multiple queries and then write application code to append the results into your greater JSON document.

            Or you could use correlated subqueries:

            Source https://stackoverflow.com/questions/67359693

            QUESTION

            INSERT INTO SELECT with a LEFT JOIN to prevent duplicates, only prevents duplicates already in the table
            Asked 2021-Apr-26 at 00:08

            Regarding this method of preventing the insertion of duplicates:

            ...

            ANSWER

            Answered 2021-Apr-26 at 00:08

            You are correct on the "snapshot" point: any insertions into table1 in this query will not affect the LEFT JOIN table1.

            But you would still need a DISTINCT to guarantee uniqueness from the queried data.

            Source https://stackoverflow.com/questions/67219254

            QUESTION

            Pandas Dedupe not working . Multiprocessing and Permission error
            Asked 2021-Mar-14 at 17:23

            I was trying to clean up duplicates in an excel file using dedupe. The code worked fine at first and the code itself is simple. But whenever I run the code I get the below error. The code works fine if I delete all the temp files, restart pycharm or restart my computer and it won't run for the second time.

            The data file is a csv file with a list of random similar name in column A with header as 'Name'. Please help tp resolve. Thank you. Code

            ...

            ANSWER

            Answered 2021-Mar-14 at 17:23

            The answer is in the error:

            You need to either turn off multiprocessing or protect the calls to the Dedupe methods with a if __name__ == '__main__' in your main module

            Change your code to the following, and try again:

            Source https://stackoverflow.com/questions/66622950

            QUESTION

            ElasticSearch Long ID and search performance
            Asked 2021-Mar-10 at 14:32

            Using ElasticSearch in Amazon as search engine. Lately discussed with one of developers tactics for Upsert.

            In my view (i am not an well experienced ES Developer) it's ok to have a complex key as _id, e.g. Result-1, Data-2, etc. It will help on Upsert and data deduplication. But concern was raised about key datatype. Long key, such as string, Sha1-digest, hex, etc — could affect search performance, and better to have some short keys or pass it to ES without predefined _id and deduplicate with document body or some specific properties.

            I haven't read anything about ID performance — from Official docs to medium/blogs.

            Is the concern right and I should follow it?

            Thank you!

            ...

            ANSWER

            Answered 2021-Mar-10 at 14:32

            The concern about using custom ID fields is on the indexing phase because with the auto generated ones Elasticsearch can safely index the document without querying for uniqueness. If you are OK with your indexing rate then you should be fine.

            If you look in the docs on the Tune for Search speed , there is no advice about using auto generated ids.

            Relevant reads.

            Source https://stackoverflow.com/questions/66566630

            QUESTION

            How to remove duplicates out of the UNION but ignore one column
            Asked 2021-Feb-22 at 18:57

            Consider the following table of data:

            FirstName LastName Department Steve Colton Accounting Stacy Beckham Finance Mary Messi Finance Steve Colton Finance Michael Gretsky Finance

            As you can see Steve Colton is in both Accounting and the Finance departments.
            I want a query that should return Steve just once.

            I can do the following which works but seems like more code than needed:

            ...

            ANSWER

            Answered 2021-Feb-22 at 18:57

            You can use row_number(). If you want one row per first name (what your question implies), then:

            Source https://stackoverflow.com/questions/66321741

            QUESTION

            python pandas deduplication with complex criteria
            Asked 2021-Feb-20 at 23:19

            I have a dataframe below:

            ...

            ANSWER

            Answered 2021-Feb-20 at 23:19

            I think we can do this with a single boolean. using .groupby().nunique()

            Source https://stackoverflow.com/questions/66297414

            QUESTION

            Deduplication while loading to BigQuery
            Asked 2021-Feb-11 at 09:27

            I have new records to insert to BQ. How do I add only those that are not there? Deduplication while loading.

            for example I have in BQ

            ...

            ANSWER

            Answered 2021-Feb-11 at 09:27

            You should always use set-based operations. Just use the MERGE Statement. First put them all into a dataset (I call it source) and merge them into the target dataset (called target).

            Source https://stackoverflow.com/questions/66151823

            QUESTION

            Create table with foreign key constraint failed
            Asked 2021-Feb-05 at 12:00

            After starting the verification system on the site, I got an error in the database

            MySQL Query Error:

            ...

            ANSWER

            Answered 2021-Feb-05 at 12:00

            If your db is hosted on a Unix-based system, or if lower_case_table_names is set to 0, MariaDB has case sensitive table names, so you need to use b_forum and b_file, not B_FORUM and B_FILE. See the manual. Your CREATE TABLE statement works fine in this demo if you match the case of the other table declarations.

            Source https://stackoverflow.com/questions/66058227

            QUESTION

            AWS FIFO SQS queue message is disappearing when I repost the same message even after successfully deleting it
            Asked 2021-Jan-22 at 13:40

            I am facing a strange issue in SQS. Let me simplify my use-case, I have 7 messages in the FIFO queue and my standalone app should keep-on polling the messages in the same sequence for my business case infinitely. For instance, my app read message1 and after some business processing, the app will delete it and repost the same message into the same queue(tail of the queue), and these steps will be continued for the next set of messages endlessly. Here, my expectation is my app will be polling the message continuously and doing the operations based on the messages in the queue in the same sequence, but that's where the problem arises. When the message is read from the queue for the very first time, delete it, and repost the same message into the same queue, even after the successful sendMessageResult, the reposted message is not present in the queue.

            I have included the below code to simulate the issue, briefly, Test_Queue.fifo queue with Test_Queue_DLQ.fifo configured as reDrivePolicy is created. At the very first time after creating the queue, the message is posted -> "Test_Message" into Test_Queue.fifo queue(Getting the MessageId in response ) and long-polling the queue to read the message, and after iterating the ReceiveMessageResult#getMessages, deleting the message(Getting MessageId in response). Again, after the successful deletion of the message, the same message is reposted into the tail of the same queue(Getting the MessageId in response). But, the reposted message is not present in the queue. When, I checked the AWS admin console the message count is 0 in the Messages available and Messages in flight sections and the reposted message is not even present in Test_Queue_DLQ.fifo queue. As per the SQS docs, if we delete the message, even if it is present in flight mode should be removed, so reposting the same message should not be an issue. I suspect on SQS side, where they are performing some equals comparison and skipping the same message during in visibleTimeOut interval to avoid deduplication of the same message in the distributed environment, but couldn't get any clear picture.

            Code snippet to simulate the above issue

            ...

            ANSWER

            Answered 2021-Jan-22 at 11:51

            From Using the Amazon SQS message deduplication ID:

            The message deduplication ID is the token used for deduplication of sent messages. If a message with a particular message deduplication ID is sent successfully, any messages sent with the same message deduplication ID are accepted successfully but aren't delivered during the 5-minute deduplication interval.

            Therefore, you should supply a different Deduplication ID each time the message is placed back onto the queue.

            Source https://stackoverflow.com/questions/65841805

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

            Vulnerabilities

            No vulnerabilities reported

            Install deduplication

            You can install using 'pip install deduplication' or download it from GitHub, PyPI.
            You can use deduplication 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 .
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            Install
          • PyPI

            pip install deduplication

          • CLONE
          • HTTPS

            https://github.com/Marcnuth/deduplication.git

          • CLI

            gh repo clone Marcnuth/deduplication

          • sshUrl

            git@github.com:Marcnuth/deduplication.git

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