tensorbackends | A uniform interface for NumPy , CuPy , CTF , etc | Data Manipulation library

 by   cyclops-community Python Version: v0.2.0 License: BSD-3-Clause-Clear

kandi X-RAY | tensorbackends Summary

kandi X-RAY | tensorbackends Summary

tensorbackends is a Python library typically used in Utilities, Data Manipulation, Numpy applications. tensorbackends has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

A uniform interface for NumPy, CuPy, CTF, etc.
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            kandi-support Support

              tensorbackends has a low active ecosystem.
              It has 5 star(s) with 3 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 1 open issues and 2 have been closed. On average issues are closed in 0 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of tensorbackends is v0.2.0

            kandi-Quality Quality

              tensorbackends has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              tensorbackends is licensed under the BSD-3-Clause-Clear License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              tensorbackends releases are available to install and integrate.
              Build file is available. You can build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed tensorbackends and discovered the below as its top functions. This is intended to give you an instant insight into tensorbackends implemented functionality, and help decide if they suit your requirements.
            • Generate RinsumsVD for an implicit distribution
            • Compute the output shape
            • Return a new shape with the given shape
            • Parse an einsvd expression
            • Parse a sequence of terms
            • Parse subscripts
            • Compute the einqr operator
            • Parse an einqr expression
            • Svd decomposition
            • Absorb_sv
            • Generate the Rinsum decomposition of the tensor
            • Adds unary operators to the tensor
            • Cast obj to a tensor
            • Convert obj to a tensor
            • Compute the einsvd decomposition of the tensor
            • Compute the einsvd decomposition of a tensor
            • Generate the einsum distribution function
            • Calculates the einsum decomposition of a matrix
            • Compute the einsvd decomposition
            • Compute the einsum of the tensor product
            • Compute the einsum reduction of the tensor product
            • Add binary operators
            • Create a new Expression that matches the input ndims
            • Parse einsumsvd
            • Compute the einsum reduction of a tensor product
            • R Compute the einsum decomposition of the tensor
            Get all kandi verified functions for this library.

            tensorbackends Key Features

            No Key Features are available at this moment for tensorbackends.

            tensorbackends Examples and Code Snippets

            No Code Snippets are available at this moment for tensorbackends.

            Community Discussions

            QUESTION

            R: Is there a "Un-Character" Command in R?
            Asked 2022-Apr-10 at 17:37

            I am working with the R programming language.

            I have the following dataset:

            ...

            ANSWER

            Answered 2022-Apr-10 at 05:36

            Up front, "1,3,4" != 1. It seems you should look to split the strings using strsplit(., ",").

            Source https://stackoverflow.com/questions/71813866

            QUESTION

            Creating new columns based on data in row separated by specific character in R
            Asked 2022-Mar-15 at 08:48

            I've the following table

            Owner Pet Housing_Type A Cats;Dog;Rabbit 3 B Dog;Rabbit 2 C Cats 2 D Cats;Rabbit 3 E Cats;Fish 1

            The code is as follows:

            ...

            ANSWER

            Answered 2022-Mar-15 at 08:48

            One approach is to define a helper function that matches for a specific animal, then bind the columns to the original frame.

            Note that some wrangling is done to get rid of whitespace to identify the unique animals to query.

            Source https://stackoverflow.com/questions/71478316

            QUESTION

            Multiplying and Adding Values across Rows
            Asked 2022-Mar-10 at 08:24

            I have this data frame:

            ...

            ANSWER

            Answered 2022-Mar-10 at 04:12

            We can use stri_replace_all_regex to replace your color_1 into integers together with the arithmetic operator.

            Here I've stored your values into a vector color_1_convert. We can use this as the input in stri_replace_all_regex for better management of the values.

            Source https://stackoverflow.com/questions/71418533

            QUESTION

            How to make a rank column in R
            Asked 2022-Mar-07 at 16:19

            I have a database with columns M1, M2 and M3. These M values correspond to the values obtained by each method. My idea is now to make a rank column for each of them. For M1 and M2, the rank will be from the highest value to the lowest value and M3 in reverse. I made the output table for you to see.

            ...

            ANSWER

            Answered 2022-Mar-07 at 14:15

            Using rank and relocate:

            Source https://stackoverflow.com/questions/71381995

            QUESTION

            How to return the column title wherein the row contains the greatest value in Pandas Dataframe
            Asked 2022-Feb-24 at 20:56

            I working on a Python project that has a DataFrame like this:

            ...

            ANSWER

            Answered 2022-Feb-24 at 20:48

            You could use the idxmax method on axis:

            Source https://stackoverflow.com/questions/71258033

            QUESTION

            Split large csv file into multiple files based on column(s)
            Asked 2022-Feb-07 at 12:49

            I would like to know of a fast/efficient way in any program (awk/perl/python) to split a csv file (say 10k columns) into multiple small files each containing 2 columns. I would be doing this on a unix machine.

            ...

            ANSWER

            Answered 2021-Dec-12 at 05:22

            With your show samples, attempts; please try following awk code. Since you are opening files all together it may fail with infamous "too many files opened error" So to avoid that have all values into an array and in END block of this awk code print them one by one and I am closing them ASAP all contents are getting printed to output file.

            Source https://stackoverflow.com/questions/70320648

            QUESTION

            Get the first non-null value from selected cells in a row
            Asked 2022-Feb-04 at 09:55

            Good afternoon, friends!

            I'm currently performing some calculations in R (df is displayed below). My goal is to display in a new column the first non-null value from selected cells for each row.

            My df is:

            ...

            ANSWER

            Answered 2022-Feb-03 at 11:16

            One option with dplyr could be:

            Source https://stackoverflow.com/questions/70970158

            QUESTION

            pivot_longer with column pairs
            Asked 2022-Feb-03 at 14:02

            I am again struggling with transforming a wide df into a long one using pivot_longer The data frame is a result of power analysis for different effect sizes and sample sizes, this is how the original df looks like:

            ...

            ANSWER

            Answered 2022-Feb-03 at 10:59
            library(tidyverse)
            
            example %>% 
              pivot_longer(cols = starts_with("es"), names_to = "type", names_prefix = "es_", values_to = "es") %>%
              pivot_longer(cols = starts_with("pwr"), names_to = "pwr", names_prefix = "pwr_") %>% 
              filter(substr(type, 1, 3) == substr(pwr, 1, 3)) %>% 
              mutate(pwr = parse_number(pwr)) %>% 
              arrange(pwr, es, type)
            

            Source https://stackoverflow.com/questions/70969176

            QUESTION

            Simulating Random Draws From a "Hat"
            Asked 2021-Dec-28 at 21:50

            Suppose I have the following 10 variables (num_var_1, num_var_2, num_var_3, num_var_4, num_var_5, factor_var_1, factor_var_2, factor_var_3, factor_var_4, factor_var_5):

            ...

            ANSWER

            Answered 2021-Dec-26 at 10:11

            You may define a function FUN(n) that creates a data set as shown in OP.

            Source https://stackoverflow.com/questions/70483731

            QUESTION

            Break Apart a String into Separate Columns R
            Asked 2021-Dec-17 at 20:39

            I am trying to tidy up some data that is all contained in 1 column called "game_info" as a string. This data contains college basketball upcoming game data, with the Date, Time, Team IDs, Team Names, etc. Ideally each one of those would be their own column. I have tried separating with a space delimiter, but that has not worked well since there are teams such as "Duke" with 1 part to their name, and teams with 2 to 3 parts to their name (Michigan State, South Dakota State, etc). There also teams with "-" dashes in their name.

            Here is my data:

            ...

            ANSWER

            Answered 2021-Dec-16 at 15:25

            Here's one with regex. See regex101 link for the regex explanations

            Source https://stackoverflow.com/questions/70381064

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

            Vulnerabilities

            No vulnerabilities reported

            Install tensorbackends

            You can download it from GitHub.
            You can use tensorbackends 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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            gh repo clone cyclops-community/tensorbackends

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            git@github.com:cyclops-community/tensorbackends.git

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