API for Developers¶
Here you will find the API provide for developers.
Entry point¶
This is the main file for perprof
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perprof.main.main()¶ This is the entry point when calling perprof.
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perprof.main.process_arguments(args)¶ Generates the dictionaries with options
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perprof.main.set_arguments(args)¶ Set all the arguments of perprof
File parse¶
Functions to parse the files
The files must be in the following format:
---
<Metadata 01>: <Value 01>
<Metadata 02>: <Value 02>
---
<Problem Name 01> <Exit Flag 01> <Cost 01>
<Problem Name 02> <Exit Flag 02> <Cost 02>
<Problem Name 03> <Exit Flag 03> <Cost 03>
...
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perprof.parse.parse_file(filename, parser_options)¶ Parse one file.
Parameters: - filename (str) – name of the file to be parser
- options (dict) – dictionary with the options:
list subset: list with the name of the problems to use
list success: list with strings to mark sucess
int mintime: minimum time running the solver
int maxtime: maximum time running the solver
bool free_format: if False request that fail be mark with
d
Returns: performance profile data and name of the solver
Profile interface¶
The functions related with the perform (not the output).
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class
perprof.prof.Pdata(parser_options, profiler_options)¶ Store data for performance profile.
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get_set_problems()¶ Get the set of problems to use.
Returns: list of problems
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get_set_solvers()¶ Get the set of solvers to use.
Returns: list of solvers
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plot()¶ This should be implemented by a child of this class.
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scale()¶ Scale time.
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set_percent_problems_solved_by_time()¶ Set the percent of problems solved by time.
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perprof.prof.load_data(parser_options)¶ Load the data.
Parameters: parser_options (dict) – the configuration dicionary
Profiler using TikZ¶
This handle the plot using tikz.