Skip to main content

an anti-pythonic map reduce utility

Project description

MR Streams

MR Streams is a python utility for composing iterable map reduce filter chains

Goals:

The goals of this library are relatively simple:

  • provide a stream composition syntax that supports chaining map,reduce,filter operations
  • a stream object should still look and feel like a list/iterable
  • a stream should have options for delayed evaluation of the stream
  • to support future changes regarding how composition

Pronunciation:

  • "Mister Streams" for fun
  • "M-R-Streams" to sound professional

Supported operations

  • map - applies functions to values in iterable with a built-in option for partial evaluation.

      from operator import add
    
      [*mr(range(10)).map(add, 1)] 
    
      >>[1,2,3,4,5,6,7,8,9,10]
    
  • filter - applies a boolean function to values emitted in the chain. If the condition is true, the values are emitted further down the chain.

    is_even = lambda x: x % 2 == 0  
    
    [*mr(range(10)).filter(is_even)]  
    
    >>[0, 2,4,6,8]
    
  • reduce - reduce iterates through all objects and reduces them using a reduction function.

    mr(range(10)).reduce(sum) 
    
    >> 45
    
  • take - limits the number of values emitted in the stream.

      [*mr(range(10)).take(3)]  
    
      >>[0,1,2] 
    
  • tap - applies a function passively to the stream without altering emitted values.

    mr(range(4)).tap(print).reduce(sum)
    
    >> 0
    >> 1
    >> 2
    >> 3
    >> 6
    
  • drain - runs a no-op iteration that depletes the stream.

    mr(range(4)).tap(print).drain()  
    
     >> 0
     >> 1
     >> 2
     >> 3    
    
  • chunk - groups items in a stream into groups of size n

    mr(range(4)).chunk(2).tap(print).drain()  
    
    >> [0,1]
    >> [2,3]
    

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

mr_streams-0.0.1.tar.gz (3.6 kB view details)

Uploaded Source

Built Distribution

mr_streams-0.0.1-py3-none-any.whl (8.5 kB view details)

Uploaded Python 3

File details

Details for the file mr_streams-0.0.1.tar.gz.

File metadata

  • Download URL: mr_streams-0.0.1.tar.gz
  • Upload date:
  • Size: 3.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.3

File hashes

Hashes for mr_streams-0.0.1.tar.gz
Algorithm Hash digest
SHA256 c49947d61059e04c0f07c9e68f26cf47d5ba98d3f44548606f6892245d7c3f04
MD5 6996fac0f37987ac1969dd62ace8f727
BLAKE2b-256 0596827611af0d7c5153247d24da447bc8e5299559088c3a8c9121b55b6db1b7

See more details on using hashes here.

File details

Details for the file mr_streams-0.0.1-py3-none-any.whl.

File metadata

  • Download URL: mr_streams-0.0.1-py3-none-any.whl
  • Upload date:
  • Size: 8.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.3

File hashes

Hashes for mr_streams-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 a687c0af2a97ba065805d379f2536d5c8e2e1ed8161f7e662432de6a652d5812
MD5 b0a16bb6e3acaf307658d47bbdedf201
BLAKE2b-256 be80cf610b10816a62c65a31862a6fb32323fdd86c7a65042f56c838f9e77099

See more details on using hashes here.

Supported by

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