mat2 | Read-only mirror of https : //0xacab.org/jvoisin/mat2

 by   jvoisin Python Version: 0.13.3 License: LGPL-3.0

kandi X-RAY | mat2 Summary

kandi X-RAY | mat2 Summary

mat2 is a Python library typically used in Telecommunications, Media, Media, Entertainment applications. mat2 has no vulnerabilities, it has build file available, it has a Weak Copyleft License and it has low support. However mat2 has 5 bugs. You can download it from GitHub.

This software is currently in beta, please don't use it for anything critical.
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            kandi-support Support

              mat2 has a low active ecosystem.
              It has 54 star(s) with 5 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              mat2 has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of mat2 is 0.13.3

            kandi-Quality Quality

              OutlinedDot
              mat2 has 5 bugs (1 blocker, 0 critical, 3 major, 1 minor) and 115 code smells.

            kandi-Security Security

              mat2 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              mat2 code analysis shows 0 unresolved vulnerabilities.
              There are 24 security hotspots that need review.

            kandi-License License

              mat2 is licensed under the LGPL-3.0 License. This license is Weak Copyleft.
              Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

            kandi-Reuse Reuse

              mat2 releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              It has 3604 lines of code, 263 functions and 27 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed mat2 and discovered the below as its top functions. This is intended to give you an instant insight into mat2 implemented functionality, and help decide if they suit your requirements.
            • Remove all members from the archive
            • Perform final checks
            • Return the compression for a member
            • Set a member s compression
            • Determines if a file should be cleaned up
            • Randomize creation ID
            • Parse an XML file
            • Collect counters from file
            • Get the metadata for the archive
            • Get metadata for a specific file
            • Remove all data from ffmpeg
            • Get arguments for bubblewrap
            • Run a subprocess
            • Return bwrap path
            • Generate meta data
            • Returns the meta data from the exiftool
            • Return the exiftool path
            • Remove all images
            • Performs lightweight cleanup
            • Determine if a file should be cleaned up
            • Get metadata
            • Remove all keys from the dict
            • Determine if the full path should be cleaned up
            • Remove all images from the image
            • Removes all items from the cache
            • Check that the archive is valid
            Get all kandi verified functions for this library.

            mat2 Key Features

            No Key Features are available at this moment for mat2.

            mat2 Examples and Code Snippets

            No Code Snippets are available at this moment for mat2.

            Community Discussions

            QUESTION

            I do not split well in pytorch
            Asked 2022-Mar-21 at 09:57

            I would like to do a tensor split in pytorch. However, I get an error message because I can't get the splitting to work.
            The behavior I want is to split the input data into two Fully Connected layers. I then want to create a model that combines the two Fully Connected layers into one. I believe the error is due to a wrong code in x1, x2 = torch.tensor_split(x,2)

            ...

            ANSWER

            Answered 2022-Mar-21 at 09:57
            Tl;dr

            Specify dim=1 in torch.tensor_split(x,2) .

            Explanation

            The x comes from two tensors with the shape [100,1] stacked at dim 1, so its shape is [100, 2]. After applying tensor_split, you get two tensors both with shape [50, 2].

            Source https://stackoverflow.com/questions/71554131

            QUESTION

            How to change character into numeric of a dataframe within a list in R?
            Asked 2022-Mar-02 at 21:25

            I would like to convert a character vector within a dataframe of a list into a numeric one. I have an example attached. Data at the end looks like my list I import directly into R and in which I want to convert character into numeric...

            ...

            ANSWER

            Answered 2022-Mar-02 at 21:25

            type.convert can change column types in list as well (assuming those columns within the data.frame doesn't have any non-numeric element in it)

            Source https://stackoverflow.com/questions/71329317

            QUESTION

            Returning a matrix rotated by 90, 180, and 270 degrees in APL with outer product
            Asked 2022-Jan-17 at 05:40

            I am trying to write some APL code that will take a matrix and give back the matrix and all its 90 degree rotations.

            As a rotation function I have: {(⌽∘⍉)⍣⍺⊢⍵} , which takes a matrix on the right and number of CW rotations on the left, and it seems to work fine on its own.

            To generate all 4 output arrays, I have tried to use the outer product like this:

            ...

            ANSWER

            Answered 2022-Jan-17 at 05:40

            QUESTION

            template function overloading ambiguity
            Asked 2022-Jan-13 at 19:25

            A beginner's question here, so I have the following code

            foo.h

            ...

            ANSWER

            Answered 2022-Jan-13 at 10:03

            I'm aware that this is ambiguous

            It is not.

            const T& value is a better match than const T* value for float*. The former is an exact match, whereas the later require a qualification conversion.

            You might drop the const for pointer:

            Source https://stackoverflow.com/questions/70694337

            QUESTION

            Dividing matrices with unequal dimensions in r
            Asked 2022-Jan-12 at 20:24

            I have a data set that I had filtered into a single month. I also have a list of matrices (l1) that is the same length as the list of data frames (int1). The matrices in the list have different dimensions (e.g.,3x3, 2x2).

            Setting the data and list:

            ...

            ANSWER

            Answered 2022-Jan-12 at 20:24

            Here the 'g1' needs to be dynamic based on the number of rows/dimensions of each of the elements in 'lstMat'. This can be done with rep

            Source https://stackoverflow.com/questions/70673876

            QUESTION

            Pandas: Merge values from one dataframe to another based on condition
            Asked 2021-Dec-17 at 11:48

            using fuzzy logic and fuzzywuzzy module I am able to match Names(from one dataframe) with Short Names(from another Dataframe). Both these Dataframes also contain a table ISIN.

            This is the dataframe I get after logic is applied.

            ...

            ANSWER

            Answered 2021-Dec-17 at 11:39

            Assuming your first dataframe has ISINs filled out to null, then a simple merge will do what you need. If you need the non-null ISINs in the first dataframe to be preserved, then you need to use a boolean mask:-

            Source https://stackoverflow.com/questions/70390976

            QUESTION

            How to resolve the error that says "shapes cannot be multiplied"
            Asked 2021-Dec-16 at 20:17

            I tried the code mentioned in the article in google colab.

            https://theaisummer.com/spiking-neural-networks/

            I got the error that looks like this...

            ...

            ANSWER

            Answered 2021-Dec-16 at 20:17

            I just ran their Colab notebook and ran into the same error. It occurs because the final iteration does not have 128 samples of data, as the total dataset size (60000 and 10000 for training and test set) is not evenly divisible by 128. So there is some left over, and reshaping it to 128 x ... leads to a mismatch of dimensions between input data and the number of neurons in the input layer.

            There are two possible fixes.

            1. Just drop the final batch:

            Source https://stackoverflow.com/questions/70314154

            QUESTION

            How to decompose a 2x2 affine matrix with sympy?
            Asked 2021-Dec-16 at 15:47

            I'm attempting to show the decomposition of an affine matrix with sympy as shown in the following stackexchange post:

            https://math.stackexchange.com/questions/612006/decomposing-an-affine-transformation

            I've setup two matrices A_params and A_matrix, where the former represents the raw matrix values and the latter is the matrix constructed from its underlying parameters.

            ...

            ANSWER

            Answered 2021-Dec-16 at 15:47

            After discussion with a colleague, it turns out I made a simple error in the code. I swapped sin and cos terms. Fixing this results in the correct reconstruction of the matrix when using @Stéphane Laurent's decomposition:

            Source https://stackoverflow.com/questions/70357473

            QUESTION

            Error: Expected all tensors to be on the same device, While all are on same device
            Asked 2021-Dec-07 at 15:08

            I don't know why I am getting this error, while my all tensors are at the same device "cuda". Here is code

            ...

            ANSWER

            Answered 2021-Dec-07 at 15:08

            You forgot to transfer self.model to the device. Indeed, the model has weights that must be transferred to the correct device, since they interact with your input.

            You can do it with self.model.to("cuda").

            Source https://stackoverflow.com/questions/70262173

            QUESTION

            RuntimeError: mat1 and mat2 shapes cannot be multiplied (1280x5 and 6400x4096)?
            Asked 2021-Dec-03 at 16:20

            Defining Alexnet using the following code,I can train successfully.But when I want to see the output of each layer,it will be an error ‘RuntimeError: mat1 and mat2 shapes cannot be multiplied (1280x5 and 6400x4096)?’

            ...

            ANSWER

            Answered 2021-Dec-03 at 16:20

            You forgot to flatten the output array of self.conv in the for cycle. You can split it into two cycles, one for the convolution layers, and one for the fully connected ones.

            Source https://stackoverflow.com/questions/70216022

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

            Vulnerabilities

            No vulnerabilities reported

            Install mat2

            You can download it from GitHub.
            You can use mat2 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

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            gh repo clone jvoisin/mat2

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            git@github.com:jvoisin/mat2.git

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