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synced 2025-04-09 04:11:44 +01:00
reduce mem use by 21.2MB by using a generator
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d16226c879
commit
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@ -973,7 +973,7 @@ class LoadingSurvex():
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if cave:
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if cave:
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survexfile.cave = cave
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survexfile.cave = cave
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def LinearLoad(self, survexblock, path, svxlines):
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def LinearLoad(self, survexblock, path, collatefilename):
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"""Loads a single survex file. Usually used to import all the survex files which have been collated
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"""Loads a single survex file. Usually used to import all the survex files which have been collated
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into a single file. Loads the begin/end blocks using a stack for labels.
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into a single file. Loads the begin/end blocks using a stack for labels.
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"""
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"""
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@ -1003,7 +1003,7 @@ class LoadingSurvex():
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if blockcount % 800 ==0 :
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if blockcount % 800 ==0 :
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print("\n", file=sys.stderr,end='')
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print("\n", file=sys.stderr,end='')
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mem=get_process_memory()
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mem=get_process_memory()
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print(" - MEM:{:7.3f} MB in use".format(mem),file=sys.stderr)
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print(" - MEM: {:7.2f} MB in use".format(mem),file=sys.stderr)
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print(" ", file=sys.stderr,end='')
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print(" ", file=sys.stderr,end='')
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sys.stderr.flush()
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sys.stderr.flush()
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@ -1190,7 +1190,11 @@ class LoadingSurvex():
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self.LoadSurvexFallThrough(survexblock, args, cmd)
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self.LoadSurvexFallThrough(survexblock, args, cmd)
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for svxline in svxlines:
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# this is a python generator idiom.
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# see https://realpython.com/introduction-to-python-generators/
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# this is the first use of generators in troggle (Oct.2022)
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with open(collatefilename, "r") as fcollate:
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for svxline in fcollate:
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self.lineno += 1
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self.lineno += 1
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sline, comment = self.rx_comment.match(svxline).groups()
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sline, comment = self.rx_comment.match(svxline).groups()
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if comment:
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if comment:
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@ -1620,17 +1624,13 @@ def FindAndLoadSurvex(survexblockroot):
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svx_load.survexdict[survexfileroot.survexdirectory].append(survexfileroot)
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svx_load.survexdict[survexfileroot.survexdirectory].append(survexfileroot)
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svx_load.svxdirs[""] = survexfileroot.survexdirectory
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svx_load.svxdirs[""] = survexfileroot.survexdirectory
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# This next should be rewritten to use a generator so that only one
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# line is held in memory at a time:
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with open(collatefilename, "r") as fcollate:
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svxlines = fcollate.read().splitlines()
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#pr2 = cProfile.Profile()
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#pr2 = cProfile.Profile()
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#pr2.enable()
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#pr2.enable()
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mem1 = get_process_memory()
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mem1 = get_process_memory()
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print(f" - MEM:{mem1:7.2f} MB immediately after reading '{collatefilename}' into memory.",file=sys.stderr)
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print(f" - MEM:{mem1:7.2f} MB NOT reading '{collatefilename}' into memory.",file=sys.stderr)
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print(" ", file=sys.stderr,end='')
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print(" ", file=sys.stderr,end='')
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#----------------------------------------------------------------
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#----------------------------------------------------------------
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svx_load.LinearLoad(survexblockroot,survexfileroot.path, svxlines)
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svx_load.LinearLoad(survexblockroot,survexfileroot.path, collatefilename)
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#----------------------------------------------------------------
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#----------------------------------------------------------------
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#pr2.disable()
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#pr2.disable()
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# with open('LinearLoad.prof', 'w') as f:
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# with open('LinearLoad.prof', 'w') as f:
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