@codetermenv lets you safely use advanced styling options on the terminal. It gathers information about the terminal environment in terms of its ANSI & color support and offers you convenient methods to colorize and style your output, without you having to deal with all kinds of weird ANSI escape sequences and color conversions.

Documentation at https://melpa.org/#/projection-multi-embark

MUMPS (MUltifrontal Massively Parallel sparse direct Solver) solves a sparse system of linear equations A x = b using Gaussian elimination.

Full genome sequences for Mustela putorius furo (Ferret) as provided by UCSC (musFur1, Apr. 2011) and stored in Biostrings objects.

This package provides an interface for manipulating multivariate polynomials. Implementing algorithms on polynomials using this interface will allow the algorithm to work for all polynomials implementing this interface. The interface contains functions for accessing the coefficients, monomials, defining arithmetic operations on them, rational functions, division with remainder, calculus and differentiation, and evaluation and substitution.

Documentation at https://melpa.org/#/compile-multi-nerd-icons

This package provides a friendly fork of multiprocessing which uses dill instead of pickle.

This Python module implements a multiprocessing-aware Handler that, when set on the root Logger, will tunnel log records to the main process so that they are handled correctly.

InterConv converts interfaces into any data type.

Data type that can be converted:

• Int

• Int8

• Int32

• Int16

• Int64

• Float32

• Float64

• Boolean

• String

• Uint

• Uint8

• Uint16

• Uint32

• Uint64

• Uintptr

Calculates two sets of post-hoc variable importance measures for multivariate random forests. The first set of variable importance measures are given by the sum of mean split improvements for splits defined by feature j measured on user-defined examples (i.e., training or testing samples). The second set of importance measures are calculated on a per-outcome variable basis as the sum of mean absolute difference of node values for each split defined by feature j measured on user-defined examples (i.e., training or testing samples). The user can optionally threshold both sets of importance measures to include only splits that are statistically significant as measured using an F-test.

This package implements RFC 2616 HTTP/1.1 standard.

Native Go implementation of Austin Appleby's third MurmurHash revision (aka MurmurHash3). Reference algorithm has been slightly hacked as to support the streaming mode required by Go's standard Hash interface.

combinator generates a slice of all possible value combinations for any given struct and a set of its potential member values. This can be used to generate extensive test matrixes among other things.

This package lets you generate a multiscale, chunked, multi-dimensional spatial image data structure that can serialized to OME-NGFF. Each scale is a scientific Python Xarray spatial-image Dataset, organized into nodes of an Xarray Datatree.

Multi-log is based on logrus, and supports concurrently logging to two destinations: the console and a log file.

This package provides a cancelable reader for Go.

Documentation at https://melpa.org/#/compile-multi-all-the-icons

This package provides a native Go implementation of Austin Appleby's third MurmurHash revision (aka MurmurHash3).

Optimized codec for []byte <=> base36 string conversion.

base32 encoding package from Go with NoPadding option

This package provides a functionality for encoding and decoding unsigned varints.

go-github-com-hashicorp-go-multierror is a package that provides a mechanism for representing a list of error values as a single error.

Package httpforwarded is a helper package for parsing the Forwarded HTTP header as defined in https://www.rfc-editor.org/rfc/rfc7239. There is a function for parsing the value of multiple Forwarded headers, and a function for formatting a Forwarded header.

go-multierror is Golang module providing a mechanism for representing a list of error values as a single error. It is fully compatible with the standard errors package, including the functions As, Is, and Unwrap. This provides a standardized approach for introspecting on error values.