[issue3104] overzealous garbage collector (dict)

Georg Brandl <[EMAIL PROTECTED]> added the comment: No complaints were voiced, so I'm closing this. -- status: pending -> closed ___ Python tracker <[EMAIL PROTECTED]> ___

[issue3104] overzealous garbage collector (dict)

Antoine Pitrou <[EMAIL PROTECTED]> added the comment: > The original text file was an IRC log. Shoving Charles Dickens' "Great > Expectations" 17 times in a text file and then parsing it doesn't show > this problem for some weird reason. I'd say the "weird reason" is probably a bug in your scrip

[issue3104] overzealous garbage collector (dict)

Paul Melis <[EMAIL PROTECTED]> added the comment: The script is still not a test case, as it doesn't *demonstrate* the problem when run. You need to provide more information for this to be reproducable by others. - what exact input did you use? (e.g. include the IRC log file on which you claim

[issue3104] overzealous garbage collector (dict)

GreaseMonkey <[EMAIL PROTECTED]> added the comment: I mean that it actually *drops* values, not *overwrites* them. I have attached the script which demonstrates this quirk in the garbage collector (it also doubles as a library). The original text file was an IRC log. Shoving Charles Dickens' "G

[issue3104] overzealous garbage collector (dict)

Georg Brandl <[EMAIL PROTECTED]> added the comment: You'll have to produce a test case for this "dropping" -- otherwise I don't believe that 16 MB cause *any* memory problems at all. -- nosy: +georg.brandl status: open -> pending ___ Python tracker <[

[issue3104] overzealous garbage collector (dict)

Antoine Pitrou <[EMAIL PROTECTED]> added the comment: Are you sure the keys for those list objects aren't just equal to others you insert in the dict? Witness: >>> d = {} >>> d[1] = 'a' >>> d {1: 'a'} >>> d[1.0] = 'b' >>> d {1: 'b'} I'm not sure what the memory limit is for dict objects, but 1

[issue3104] overzealous garbage collector (dict)

Paul Melis <[EMAIL PROTECTED]> added the comment: What do you mean with ">16MB"? Is that the total size of all data held by the dictionary (and if so, how did you measure this)? How many keys are in the dictionary? And what indication do you have that elements are being dropped? -- nosy:

[issue3104] overzealous garbage collector (dict)

New submission from GreaseMonkey <[EMAIL PROTECTED]>: When filled with a massive database (>16MB, i'm not sure how large it's meant to be), the dict object appears to mysteriously drop objects off the face of the earth (in this case list objects). Wouldn't it be more appropriate to splurt out a m