pyqpanda3.profiling.gprof2dot Namespace Reference

Generate a dot graph from the output of several profilers. More...

Classes
class	AXEParser
class	Call
	A call between functions. More...
class	CallgrindParser
	Parser for valgrind's callgrind tool. More...
class	CollapseParser
	Parser for the output of stackcollapse. More...
class	Cycle
	A cycle made from recursive function calls. More...
class	DotWriter
	Writer for the DOT language. More...
class	DtraceParser
	Parser for linux perf callgraph output. More...
class	Event
	Describe a kind of event, and its basic operations. More...
class	Function
	A function. More...
class	GprofParser
	Parser for GNU gprof output. More...
class	HProfParser
	Parser for java hprof output. More...
class	JsonParser
	Parser for a custom JSON representation of profile data. More...
class	LineParser
	Base class for parsers that read line-based formats. More...
class	Object
	Base class for all objects in profile which can store events. More...
class	OprofileParser
	Parser for oprofile callgraph output. More...
class	ParseError
	Raised when parsing to signal mismatches. More...
class	Parser
	Parser interface. More...
class	PerfParser
	Parser for linux perf callgraph output. More...
class	Profile
	The whole profile. More...
class	PstatsParser
	Parser python profiling statistics saved with te pstats module. More...
class	SleepyParser
	Parser for GNU gprof output. More...
class	Struct
	Masquerade a dictionary with a structure-like behavior. More...
class	SysprofParser
class	Theme
	Output. More...
class	UndefinedEvent
	Raised when attempting to get an event which is undefined. More...
class	XmlParser
	Base XML document parser. More...
class	XmlToken
class	XmlTokenizer
	Expat based XML tokenizer. More...
class	XmlTokenMismatch
class	XPerfParser
	Parser for CSVs generated by XPerf, from Microsoft Windows Performance Tools. More...

Functions
	times (x)
	percentage (p)
	add (a, b)
	fail (a, b)
	ratio (numerator, denominator)
	sorted_iteritems (d)
	naturalJoin (values)
str	gprof2dot (str gprof_str)
	main (argv=sys.argv[1:])
	Main program.

Variables
	MULTIPLICATION_SIGN = chr(0xd7)
	Model.
int	tol = 2 ** -23
	CALLS = Event("Calls", 0, add, times)
	SAMPLES = Event("Samples", 0, add, times)
	SAMPLES2 = Event("Samples", 0, add, times)
	TOTAL_SAMPLES = Event("Samples", 0, add, times)
	TIME = Event("Time", 0.0, add, lambda x: '(' + str(x) + ')')
	TIME_RATIO = Event("Time ratio", 0.0, add, lambda x: '(' + percentage(x) + ')')
	TOTAL_TIME = Event("Total time", 0.0, fail)
	TOTAL_TIME_RATIO = Event("Total time ratio", 0.0, fail, percentage)
dict	labels
list	defaultLabelNames = ['total-time-percentage', 'self-time-percentage']
str	totalMethod = 'callratios'
dict	formats
	TEMPERATURE_COLORMAP
	PINK_COLORMAP
	GRAY_COLORMAP
	BW_COLORMAP
	PRINT_COLORMAP
dict	themes
str	content = ""

Detailed Description

Generate a dot graph from the output of several profilers.

Function Documentation

add()

pyqpanda3.profiling.gprof2dot.add	(		a,
			b )

fail()

pyqpanda3.profiling.gprof2dot.fail	(		a,
			b )

gprof2dot()

str pyqpanda3.profiling.gprof2dot.gprof2dot

(

str

gprof_str

)

main()

pyqpanda3.profiling.gprof2dot.main

(

argv = sys.argv[1:]

)

Main program.

naturalJoin()

pyqpanda3.profiling.gprof2dot.naturalJoin

(

values

)

percentage()

pyqpanda3.profiling.gprof2dot.percentage

(

p

)

ratio()

pyqpanda3.profiling.gprof2dot.ratio	(		numerator,
			denominator )

sorted_iteritems()

pyqpanda3.profiling.gprof2dot.sorted_iteritems

(

d

)

times()

pyqpanda3.profiling.gprof2dot.times

(

x

)

Variable Documentation

BW_COLORMAP

pyqpanda3.profiling.gprof2dot.BW_COLORMAP

Initial value:

=  Theme(
    minfontsize=8.0,
    maxfontsize=24.0,
    mincolor=(0.0, 0.0, 0.0),  # black
    maxcolor=(0.0, 0.0, 0.0),  # black
    minpenwidth=0.1,
    maxpenwidth=8.0,
)

CALLS

pyqpanda3.profiling.gprof2dot.CALLS = Event("Calls", 0, add, times)

content

str pyqpanda3.profiling.gprof2dot.content = ""

defaultLabelNames

list pyqpanda3.profiling.gprof2dot.defaultLabelNames = ['total-time-percentage', 'self-time-percentage']

formats

dict pyqpanda3.profiling.gprof2dot.formats

Initial value:

=  {
    "axe": AXEParser,
    "callgrind": CallgrindParser,
    "collapse": CollapseParser,
    "hprof": HProfParser,
    "json": JsonParser,
    "oprofile": OprofileParser,
    "perf": PerfParser,
    "prof": GprofParser,
    "pstats": PstatsParser,
    "sleepy": SleepyParser,
    "sysprof": SysprofParser,
    "xperf": XPerfParser,
    "dtrace": DtraceParser,
}

GRAY_COLORMAP

pyqpanda3.profiling.gprof2dot.GRAY_COLORMAP

Initial value:

=  Theme(
    mincolor=(0.0, 0.0, 0.85),  # light gray
    maxcolor=(0.0, 0.0, 0.0),  # black
)

labels

dict pyqpanda3.profiling.gprof2dot.labels

Initial value:

=  {
    #'self-time': TIME,
    #'self-time-percentage': TIME_RATIO,
    #'total-time': TOTAL_TIME,
    'total-time-percentage': TOTAL_TIME_RATIO,
}

MULTIPLICATION_SIGN

pyqpanda3.profiling.gprof2dot.MULTIPLICATION_SIGN = chr(0xd7)

Model.

PINK_COLORMAP

pyqpanda3.profiling.gprof2dot.PINK_COLORMAP

Initial value:

=  Theme(
    mincolor=(0.0, 1.0, 0.90),  # pink
    maxcolor=(0.0, 1.0, 0.5),  # satured red
)

PRINT_COLORMAP

pyqpanda3.profiling.gprof2dot.PRINT_COLORMAP

Initial value:

=  Theme(
    minfontsize=18.0,
    maxfontsize=30.0,
    fontcolor="black",
    nodestyle="solid",
    mincolor=(0.0, 0.0, 0.0),  # black
    maxcolor=(0.0, 0.0, 0.0),  # black
    minpenwidth=0.1,
    maxpenwidth=8.0,
)

SAMPLES

pyqpanda3.profiling.gprof2dot.SAMPLES = Event("Samples", 0, add, times)

SAMPLES2

pyqpanda3.profiling.gprof2dot.SAMPLES2 = Event("Samples", 0, add, times)

TEMPERATURE_COLORMAP

pyqpanda3.profiling.gprof2dot.TEMPERATURE_COLORMAP

Initial value:

=  Theme(
    mincolor=(2.0 / 3.0, 0.80, 0.25),  # dark blue
    maxcolor=(0.0, 1.0, 0.5),  # satured red
    gamma=1.0
)

themes

dict pyqpanda3.profiling.gprof2dot.themes

Initial value:

=  {
    "color": TEMPERATURE_COLORMAP,
    "pink": PINK_COLORMAP,
    "gray": GRAY_COLORMAP,
    "bw": BW_COLORMAP,
    "print": PRINT_COLORMAP,
}

TIME

pyqpanda3.profiling.gprof2dot.TIME = Event("Time", 0.0, add, lambda x: '(' + str(x) + ')')

TIME_RATIO

pyqpanda3.profiling.gprof2dot.TIME_RATIO = Event("Time ratio", 0.0, add, lambda x: '(' + percentage(x) + ')')

tol

int pyqpanda3.profiling.gprof2dot.tol = 2 ** -23

TOTAL_SAMPLES

pyqpanda3.profiling.gprof2dot.TOTAL_SAMPLES = Event("Samples", 0, add, times)

TOTAL_TIME

pyqpanda3.profiling.gprof2dot.TOTAL_TIME = Event("Total time", 0.0, fail)

TOTAL_TIME_RATIO

pyqpanda3.profiling.gprof2dot.TOTAL_TIME_RATIO = Event("Total time ratio", 0.0, fail, percentage)

totalMethod

str pyqpanda3.profiling.gprof2dot.totalMethod = 'callratios'