replay program.optimization
Component: cr-action:replay program.optimization (v1.0.0)
Added by: gfursin (2019-10-16 07:56:43)
Authors: Grigori Fursin
License: BSD 3-clause (code) and CC BY-SA 4.0 (data)
Source: GitHub
Creation date: 2015-12-31 17:14:32
CID: 081173242a88bc94:e2c6e4cfd8f2b331cr-action:replay program.optimization  )

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How to get and run stable version (under development):
  pip install codereef
  cr download module:program.optimization --version=1.0.0 --all
  ck replay program.optimization --help

How to get and run development version:
  pip install ck
  ck pull repo:ck-crowdtuning
  ck replay program.optimization --help

How to run from Python:
   import ck.kernel as ck

                ... See JSON API below ...
   if r['return']>0: return r
Info about the CK module with this action: program.optimization
Workflow framework: CK
Development repository: ck-crowdtuning
Module description: program optimization
Workflow: program optimization front-end (workflow)
API Python code: Link
        "    Input:  {
               (solutions)          - pre-existing solutions (to avoid getting it from repos)
               (solutions_info)     - pre-existing solutions info (for scenario)

               (local)              - use local repositories. By default - crowdtuning repo (remote-ck)

               (repo_uoa)           - repo UOA with optimization
               (remote_repo_uoa)    - if repo above is remote, use this repo on remote machine

               (data_uoa)           - experiment data UOA (can have wildcards)

               (solution_uid)       - solution UID, if known (otherwise all - useful to classify a given program by reactions to optimizations)

               (prune)              - if 'yes', prune solution

               (record_solutions)   - if 'yes', record solutions
               (solutions_file)     - output solutions to a file

               (record_reactions)         - if 'yes', record optimization reaction
               (record_reactions_file)    - file to record reaction table for graph ...

               (ignore_comparison)        - if 'yes', do not compare results

    Output: {
              return       - return code =  0, if successful
                                         >  0, if error
              (error)      - error text if return > 0

              solutions    - processed solutions (including reactions)


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