Skip to main content

No project description provided

Project description

Toolbox

PyPi

This repositories offers a toolbox across platforms.

How to use

  • MatlabFuncHelper: this class simulate all Matlab functions in python (batch is supported).
    • batch
      • setBatchSize(batch_size) or setBS(batch_size)
      • getBatchSize() or getBS()
    • data type selectors
      • toNP(): to numpy
      • toPT(): to pytorch
      • toTF(): to tensorflow
    • checkers
      • isvector(mat)
      • ismatrix(mat)
      • isnan(mat)
    • generators
      • zeros(d1, d2, ...)
      • ones(d1, d2, ...)
      • eye(d1, ...): eye(d1) or eye(d1, d2)
      • seq(): generate a sequence, seq(end), seq(beg, end), seq(beg, step, end)
      • rand(d1, d2, ...):
      • randn(d1, d2, ...):
      • dftmtx(d1): generate the discrete transform matrix
    • transformers
      • squeeze(mat): remove redundant dimension except for the batch_size
      • reshape(mat, d1, d2, ...):
      • repmat1(mat, d1, d2, ...): repeat the matrix in the given dimension (the batch dim is repeated as 1)
      • repmatN(mat, d1, d2, ...): repeat the matrix in the given dimension (the batch dim is repeated as batch_size)
      • diag(mat): generate a matrix based on its diag or get a diagonal matrix from its vector
        @mat: a vector as [(batch_size), n, 1] or [(batch_size), 1, n]; if n == 1, it will be taken as [(batch_size), n, 1]. Or a square matrix [(batch_size), n, n]
      • circshift(mat, step): circular shift (1st index except for the batch size)
    • Maths
      • sum(): sum along the last axis
      • max(): return the maximum of a matrix or the maximum of two matrices (for complex value, we compare the magnitude)
        self.max(mat1, axis=-1);    // return the maximum of a matrix, axis tells which axis to look at
        self.max(mat1, 4);          // return the maximum of a matrix and the given value
        self.max(mat1, mat2);       // return the maximum of two matrices
        
      • kron(a, b): Kronecker produc

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

textremo_toolbox-1.0.13.tar.gz (5.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

textremo_toolbox-1.0.13-py3-none-any.whl (5.7 kB view details)

Uploaded Python 3

File details

Details for the file textremo_toolbox-1.0.13.tar.gz.

File metadata

  • Download URL: textremo_toolbox-1.0.13.tar.gz
  • Upload date:
  • Size: 5.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.13

File hashes

Hashes for textremo_toolbox-1.0.13.tar.gz
Algorithm Hash digest
SHA256 0043fdf999cfd5fdfd9bc502e23fdf50af70b67cc06c7b54edef4cc1adb866e5
MD5 eb22e43b1a2371f1c300b958f73c3354
BLAKE2b-256 08b1be057805ca9fc94ac2ef0f5ab32b9787c42c2e2f150ea5ba639225028079

See more details on using hashes here.

File details

Details for the file textremo_toolbox-1.0.13-py3-none-any.whl.

File metadata

File hashes

Hashes for textremo_toolbox-1.0.13-py3-none-any.whl
Algorithm Hash digest
SHA256 f534dc03334f56adba82dd5197c3d42f187acbfaeaa3d561deb30d5321c37a4b
MD5 0946547241e178f7e76a48916964a735
BLAKE2b-256 b22c466a0af695318de828b1f39af846be95feb304e0b57f6533b3741e1f070a

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page