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-1.0.10.tar.gz (5.0 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-1.0.10-py3-none-any.whl (5.5 kB view details)

Uploaded Python 3

File details

Details for the file textremo_toolbox-1.0.10.tar.gz.

File metadata

  • Download URL: textremo_toolbox-1.0.10.tar.gz
  • Upload date:
  • Size: 5.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.21

File hashes

Hashes for textremo_toolbox-1.0.10.tar.gz
Algorithm Hash digest
SHA256 bc45374571c7b0590c19fa934fe0b02421fdcb1f2894b2ebb3796eb8aee12925
MD5 3de5af41bbd5219beaaa7e0f26d4eb36
BLAKE2b-256 b2061175be1e09b86982d2cd1e87db59d099849f845516e81bab33ab42b691a5

See more details on using hashes here.

File details

Details for the file textremo_toolbox-1.0.10-py3-none-any.whl.

File metadata

File hashes

Hashes for textremo_toolbox-1.0.10-py3-none-any.whl
Algorithm Hash digest
SHA256 d4f593a02bb33d584b21d34c608470eb5b4e20d13fe4b6520b884d023dfffcc5
MD5 cef12d60e6eed70c3f8009433d8be647
BLAKE2b-256 b68d8109f2bde07837d2121bbba9246c77d2384d248b8fdc57d1b72acabaa283

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