~linaro-toolchain-dev/cortex-strings/trunk

30 by Michael Hope
Added more ranges. changed everything to MB/s. Account for the loop overhead.
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"""Shared routines for the plotters."""
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29 by Michael Hope
Added some scripts to run the benchmarks and to plot the results.
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import fileinput
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import collections
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33 by Michael Hope
Various updates to the benchmark plotting scripts.
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Record = collections.namedtuple('Record', 'variant function bytes loops alignment elapsed rest')
29 by Michael Hope
Added some scripts to run the benchmarks and to plot the results.
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80 by Michael Hope
Generate a tumbnail and full size for the size plots. Tweak the colours to have more and make the first a Linaro purple.
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def make_colours():
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    return iter('m b g r c y k pink orange brown grey'.split())
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29 by Michael Hope
Added some scripts to run the benchmarks and to plot the results.
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def parse_value(v):
30 by Michael Hope
Added more ranges. changed everything to MB/s. Account for the loop overhead.
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    """Turn text into a primitive"""
29 by Michael Hope
Added some scripts to run the benchmarks and to plot the results.
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    try:
33 by Michael Hope
Various updates to the benchmark plotting scripts.
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        if '.' in v:
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            return float(v)
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        else:
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            return int(v)
29 by Michael Hope
Added some scripts to run the benchmarks and to plot the results.
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    except ValueError:
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        return v
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33 by Michael Hope
Various updates to the benchmark plotting scripts.
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def unique(records, name, prefer=''):
30 by Michael Hope
Added more ranges. changed everything to MB/s. Account for the loop overhead.
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    """Return the unique values of a column in the records"""
44 by Michael Hope
Various plotting updates.
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    values = list(set(getattr(x, name) for x in records))
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    if not values:
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        return values
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    elif type(values[0]) == str:
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        return sorted(values, key=lambda x: '%-06d|%s' % (-prefer.find(x), x))
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    else:
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        return sorted(values)
29 by Michael Hope
Added some scripts to run the benchmarks and to plot the results.
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80 by Michael Hope
Generate a tumbnail and full size for the size plots. Tweak the colours to have more and make the first a Linaro purple.
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def parse_row(line):
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    return Record(*[parse_value(y) for y in line.split(':')])
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29 by Michael Hope
Added some scripts to run the benchmarks and to plot the results.
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def parse():
30 by Michael Hope
Added more ranges. changed everything to MB/s. Account for the loop overhead.
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    """Parse a record file into named tuples, correcting for loop
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    overhead along the way.
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    """
80 by Michael Hope
Generate a tumbnail and full size for the size plots. Tweak the colours to have more and make the first a Linaro purple.
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    records = [parse_row(x) for x in fileinput.input()]
30 by Michael Hope
Added more ranges. changed everything to MB/s. Account for the loop overhead.
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    # Pull out any bounce values
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    costs = {}
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    for record in [x for x in records if x.function=='bounce']:
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        costs[(record.bytes, record.loops)] = record.elapsed
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    # Fix up all of the records for cost
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    out = []
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    for record in records:
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        if record.function == 'bounce':
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            continue
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        cost = costs.get((record.bytes, record.loops), None)
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        if not cost:
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            out.append(record)
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        else:
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            # Unfortunately you can't update a namedtuple...
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            values = list(record)
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            values[-2] -= cost
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            out.append(Record(*values))
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    return out