[Python-Dev] Python's C interface for types
Jim Jewett [EMAIL PROTECTED] wrote: Fine. A very valid viewpoint. Would you like to explain that to the IEEE 754 people? When Decimal was being argued, Tim pointed out that the standard requires certain operations, but doesn't require specific spelling shortcuts. If you managed to do (and document) it right, people would be grateful for methods like a.exactly(b) a.close_enough(b) a.same_expected_value(b) but that doesn't mean any of them should be used when testing a==b Hmm. That is misleading, as you state it. IEEE 754R doesn't include specific spellings, but IEEE 754 assuredly does. For example, it states that the equality operator that delivers False for NaN = NaN is spelled .EQ. in Fortran. There was no C standard at the time, but the ad hoc' spellings are clearly intended for C-like languages, and C99 is very clear that the above equality operator is spelled '=='. However, there is no requirement that Python uses those names. What IS important is (a) that the comparisons are consistent, (b) that IEEE 754 (and IEEE 754R) define no reflexivity-preserving equality operator and (c) that the current float type derives its comparisons from C. (In Lisp, you typically can specify which equality predicate a hashtable should use on pairs of keys; in python, you only specify which it should use on objects of your class, and if the other object in the comparison disagrees, you're out of luck.) Yup. Strictly, it is only the reflexive property that IEEE 754 and the Decimal module lack. Yes, A == A is False, if A is a NaN. Therefore NaNs should never be used (in python) as dictionary keys. Therefore, they should be unhashable. Again, a very valid point. Are you suggesting a change? :-) Currently, on my Linux system, Decimal raises an exception when trying to hash a NaN value but float doesn't. Is that a bug? Also note that PyObject_RichCompareBool (from Objects/object.c) assumes the reflexive property, and if you try to violate it, you will get occasional surprises. Oh, yes, indeed! We already have the situation where A == B == 0, but where 'C op A' != 'C op B' != 'C op 0'. Both where op is a built-in operator and where 'C op' is a standard library function. That's fine; it just means that numeric equality may not be the strongest possible equivalence. hash in particular just happens to be defined in terms of ==, however == is determined. NO!!! What it means is that the equality operator may not be the strongest numeric equivalence! A much stronger statement. As I said, I am not grinding an axe, and have no answers. Regards, Nick Maclaren, University of Cambridge Computing Service, New Museums Site, Pembroke Street, Cambridge CB2 3QH, England. Email: [EMAIL PROTECTED] Tel.: +44 1223 334761Fax: +44 1223 334679 ___ Python-Dev mailing list Python-Dev@python.org http://mail.python.org/mailman/listinfo/python-dev Unsubscribe: http://mail.python.org/mailman/options/python-dev/archive%40mail-archive.com
[Python-Dev] Python's C interface for types
Jim Jewett [EMAIL PROTECTED] wrote: For 0: hash(+0.0)==hash(-0.0)==hash(0)=hash(0L)=0 Unfortunately, that assumes that equality is transitive. No, but the (transitively closed set of equivalent objects) must have the same hash. ... Er, how do you have a transitive closure for a non-transitive operation? I really do mean that quite a lot of floating-point bells and whistles are non-transitive. The only one most people will have come across is IEEE NaNs, where 'a is b' does not imply 'a == b', but there are a lot of others (and have been since time immemorial). I don't THINK that IEEE 754R decimal introduces any, though I am not prepared to bet on it. let us say that I am implementing a special function and want to distinguish -0.0 and +0.0. Why can't I use a dictionary? Because they are equal. They aren't identical, but they are equal. You have missed my point, which is extended floating-points effectively downgrade the status of the purely numeric comparisons, and therefore introduce a reasonable requirement for using a tighter match. Note that I am merely commenting that this needs bearing in mind, and NOT that anything should be changed. a = float(+0.0) b = float(-0.0) print a, b 0.0 -0.0 With the standard windows distribution, I get just 0.0 0.0 Watch that space :-) Expect it to change. Regards, Nick Maclaren, University of Cambridge Computing Service, New Museums Site, Pembroke Street, Cambridge CB2 3QH, England. Email: [EMAIL PROTECTED] Tel.: +44 1223 334761Fax: +44 1223 334679 ___ Python-Dev mailing list Python-Dev@python.org http://mail.python.org/mailman/listinfo/python-dev Unsubscribe: http://mail.python.org/mailman/options/python-dev/archive%40mail-archive.com
Re: [Python-Dev] Python's C interface for types
Nick Maclaren schrieb: For 0: hash(+0.0)==hash(-0.0)==hash(0)=hash(0L)=0 Unfortunately, that assumes that equality is transitive. No, but the (transitively closed set of equivalent objects) must have the same hash. ... Er, how do you have a transitive closure for a non-transitive operation? I really do mean that quite a lot of floating-point bells and whistles are non-transitive. If so, they just shouldn't use the equal operator (==). == ought to be transitive. It should be consistent with has(). You have missed my point, which is extended floating-points effectively downgrade the status of the purely numeric comparisons, and therefore introduce a reasonable requirement for using a tighter match. Note that I am merely commenting that this needs bearing in mind, and NOT that anything should be changed. If introducing extended floating-points would cause trouble to existing operations, I think extended floating-points should not be introduced to Python. If all three of you really need them, come up with method names to express almost equal or equal only after sunset. Regards, Martin ___ Python-Dev mailing list Python-Dev@python.org http://mail.python.org/mailman/listinfo/python-dev Unsubscribe: http://mail.python.org/mailman/options/python-dev/archive%40mail-archive.com
Re: [Python-Dev] Python's C interface for types
=?ISO-8859-1?Q?=22Martin_v=2E_L=F6wis=22?= [EMAIL PROTECTED] wrote: I really do mean that quite a lot of floating-point bells and whistles are non-transitive. If so, they just shouldn't use the equal operator (==). == ought to be transitive. It should be consistent with has(). Fine. A very valid viewpoint. Would you like to explain that to the IEEE 754 people? Strictly, it is only the reflexive property that IEEE 754 and the Decimal module lack. Yes, A == A is False, if A is a NaN. But the definition of 'transitive' often requires 'reflexive'. from decimal import * x = Decimal(NaN) x == x False I don't know any CURRENT systems where basic floating-point doesn't have the strict transitive relation, but I wouldn't bet that there aren't any. You don't need to extend floating-point to have trouble; even the basic forms often had it. I sincerely hope that one is dead, but people keep reinventing old mistakes :-( The most common form was where comparison was equivalent to subtraction, and there were numbers such that A-B == 0, B-C == 0 but A-C != 0. That could occur even for integers on some systems. I don't THINK that the Decimal specification has reintroduced this, but am not quite sure. You have missed my point, which is extended floating-points effectively downgrade the status of the purely numeric comparisons, and therefore introduce a reasonable requirement for using a tighter match. Note that I am merely commenting that this needs bearing in mind, and NOT that anything should be changed. If introducing extended floating-points would cause trouble to existing operations, I think extended floating-points should not be introduced to Python. If all three of you really need them, come up with method names to express almost equal or equal only after sunset. Fine. Again, a very valid viewpoint. Would you like to explain it to the IEEE 754, Decimal and C99 people, and the Python people who think that tracking C is a good idea? We already have the situation where A == B == 0, but where 'C op A' != 'C op B' != 'C op 0'. Both where op is a built-in operator and where 'C op' is a standard library function. This one is NOT going to go away, and is going to get more serious, especially if extended floating-point formats like Decimal take off. Note that it is not a fault in Decimal, but a feature of almost all extended floating-points. As I said, I have no answer to it. Regards, Nick Maclaren, University of Cambridge Computing Service, New Museums Site, Pembroke Street, Cambridge CB2 3QH, England. Email: [EMAIL PROTECTED] Tel.: +44 1223 334761Fax: +44 1223 334679 ___ Python-Dev mailing list Python-Dev@python.org http://mail.python.org/mailman/listinfo/python-dev Unsubscribe: http://mail.python.org/mailman/options/python-dev/archive%40mail-archive.com
Re: [Python-Dev] Python's C interface for types
Nick Maclaren schrieb: If so, they just shouldn't use the equal operator (==). == ought to be transitive. It should be consistent with has(). Fine. A very valid viewpoint. Would you like to explain that to the IEEE 754 people? Why should I? I don't talk about IEEE 754, I talk about Python. Strictly, it is only the reflexive property that IEEE 754 and the Decimal module lack. Yes, A == A is False, if A is a NaN. But the definition of 'transitive' often requires 'reflexive'. I deliberately stated 'transitive', not 'reflexive'. The standard definition of 'transitive' is if a==b and b==c then a==c. The most common form was where comparison was equivalent to subtraction, and there were numbers such that A-B == 0, B-C == 0 but A-C != 0. That could occur even for integers on some systems. I don't THINK that the Decimal specification has reintroduced this, but am not quite sure. I'm not talking about subtraction, either. I'm talking about == and hash. Fine. Again, a very valid viewpoint. Would you like to explain it to the IEEE 754, Decimal and C99 people, and the Python people who think that tracking C is a good idea? I'm not explaining anything. I'm stating an opinion. This one is NOT going to go away, and is going to get more serious, especially if extended floating-point formats like Decimal take off. Note that it is not a fault in Decimal, but a feature of almost all extended floating-points. As I said, I have no answer to it. It doesn't look like you *need* to give an answer now. I thought you were proposing some change to Python (although I'm uncertain what that change could have been). If you are merely explaining things (to whom?), just keep going. Regards, Martin ___ Python-Dev mailing list Python-Dev@python.org http://mail.python.org/mailman/listinfo/python-dev Unsubscribe: http://mail.python.org/mailman/options/python-dev/archive%40mail-archive.com
Re: [Python-Dev] Python's C interface for types
=?ISO-8859-1?Q?=22Martin_v=2E_L=F6wis=22?= [EMAIL PROTECTED] wrote: If so, they just shouldn't use the equal operator (==). == ought to be transitive. It should be consistent with has(). Fine. A very valid viewpoint. Would you like to explain that to the IEEE 754 people? Why should I? I don't talk about IEEE 754, I talk about Python. The problem is that Python is increasingly assuming IEEE 754 by implication, and you were stating something as a requirement that isn't true in IEEE 754. Strictly, it is only the reflexive property that IEEE 754 and the Decimal module lack. Yes, A == A is False, if A is a NaN. But the definition of 'transitive' often requires 'reflexive'. I deliberately stated 'transitive', not 'reflexive'. The standard definition of 'transitive' is if a==b and b==c then a==c. When I was taught mathematics, the lecturer said that a transitive relation is a reflexive one that has that extra property. It was then (and may still be) a fairly common usage. I apologise for being confusing! The most common form was where comparison was equivalent to subtraction, and there were numbers such that A-B == 0, B-C == 0 but A-C != 0. That could occur even for integers on some systems. I don't THINK that the Decimal specification has reintroduced this, but am not quite sure. I'm not talking about subtraction, either. I'm talking about == and hash. Grrk. Look again. So am I. But let this one pass, as I don't think that mistake will return - and I sincerely hope not! Fine. Again, a very valid viewpoint. Would you like to explain it to the IEEE 754, Decimal and C99 people, and the Python people who think that tracking C is a good idea? I'm not explaining anything. I'm stating an opinion. You are, however, stating an opinion that conflicts with the direction that Python is currently taking. It doesn't look like you *need* to give an answer now. I thought you were proposing some change to Python (although I'm uncertain what that change could have been). If you are merely explaining things (to whom?), just keep going. Thanks. I hope the above clarifies things a bit. My purpose in posting is to point out that some changes are already happening, by inclusion from other standards, that are introducing problems to Python. And to many other languages, incidentally, including Fortran and C. Regards, Nick Maclaren, University of Cambridge Computing Service, New Museums Site, Pembroke Street, Cambridge CB2 3QH, England. Email: [EMAIL PROTECTED] Tel.: +44 1223 334761Fax: +44 1223 334679 ___ Python-Dev mailing list Python-Dev@python.org http://mail.python.org/mailman/listinfo/python-dev Unsubscribe: http://mail.python.org/mailman/options/python-dev/archive%40mail-archive.com
[Python-Dev] Python's C interface for types
Nick Maclaren wrote: I really do mean that quite a lot of floating-point bells and whistles are non-transitive. Martin v. Löwis wrote: If so, they just shouldn't use the equal operator (==). == ought to be transitive. It should be consistent with has(). Nick Maclaren wrote: Fine. A very valid viewpoint. Would you like to explain that to the IEEE 754 people? When Decimal was being argued, Tim pointed out that the standard requires certain operations, but doesn't require specific spelling shortcuts. If you managed to do (and document) it right, people would be grateful for methods like a.exactly(b) a.close_enough(b) a.same_expected_value(b) but that doesn't mean any of them should be used when testing a==b (In Lisp, you typically can specify which equality predicate a hashtable should use on pairs of keys; in python, you only specify which it should use on objects of your class, and if the other object in the comparison disagrees, you're out of luck.) Strictly, it is only the reflexive property that IEEE 754 and the Decimal module lack. Yes, A == A is False, if A is a NaN. Therefore NaNs should never be used (in python) as dictionary keys. Therefore, they should be unhashable. Also note that PyObject_RichCompareBool (from Objects/object.c) assumes the reflexive property, and if you try to violate it, you will get occasional surprises. We already have the situation where A == B == 0, but where 'C op A' != 'C op B' != 'C op 0'. Both where op is a built-in operator and where 'C op' is a standard library function. That's fine; it just means that numeric equality may not be the strongest possible equivalence. hash in particular just happens to be defined in terms of ==, however == is determined. -jJ ___ Python-Dev mailing list Python-Dev@python.org http://mail.python.org/mailman/listinfo/python-dev Unsubscribe: http://mail.python.org/mailman/options/python-dev/archive%40mail-archive.com
[Python-Dev] Python's C interface for types
Nick Maclaren wrote: Martin v. Löwis wrote: It may be a bit problematic to implement, but I think a clean specification is possible. If a and b are numbers, and a==b, then hash(a)==hash(b). You don't even need that much complication. If a==b, then hash(a) == hash(b) If you have to break this, then at least one (preferably both) of (a,b) must be unhashable, so that it won't get used as a dict key. Hashing is only ever meaningful as a shortcut to quickly show that two objects are *not* equal. I'm not sure whether approximately 5.0 equals 5 or not: if it does, it should hash the same as 5, if it doesn't, it may or may not hash the same (whatever is easier to implement). agreed. For 0: hash(+0.0)==hash(-0.0)==hash(0)=hash(0L)=0 Unfortunately, that assumes that equality is transitive. No, but the (transitively closed set of equivalent objects) must have the same hash. If myfloat(5.0) != 5.0 True then you could just return 47 as the hash. It might not be terribly efficient, but it would work. If myfloat_exact(5.0) == 5.0 == myfloat_approx(5.0) != myfloat_exact(5.0) then at least one of (myfloat_exact, myfloat_approx) needs to be unhashable, so that it can't be used as a dictionary key. let us say that I am implementing a special function and want to distinguish -0.0 and +0.0. Why can't I use a dictionary? Because they are equal. They aren't identical, but they are equal. a = float(+0.0) b = float(-0.0) print a, b 0.0 -0.0 With the standard windows distribution, I get just 0.0 0.0 No, I don't have an answer. You are damned if you do, and damned if you don't. It is an insoluble problem, and CURRENTLY doesn't justify two hashing mechanisms (i.e. ANY difference and EQUALITY difference). You want something in between __eq__ and is. (a.identical(b) ?) Hashing is weaker than either. hash (JimJ) == hash (2010274390) True -jJ ___ Python-Dev mailing list Python-Dev@python.org http://mail.python.org/mailman/listinfo/python-dev Unsubscribe: http://mail.python.org/mailman/options/python-dev/archive%40mail-archive.com
Re: [Python-Dev] Python's C interface for types
Tim Peters schrieb: Does that mean that they are unstable, in the sense that they may change behaviour in new versions of Python? They /may/ change, but they won't (== only common sense guarantees they won't change ;-)). That, of course, is true for any API. For the documented API, there is certainly a stronger desire to provide backwards compatibility in the face of changes, but in some cases, it just means that the change also gets documented. Regards, Martin ___ Python-Dev mailing list Python-Dev@python.org http://mail.python.org/mailman/listinfo/python-dev Unsubscribe: http://mail.python.org/mailman/options/python-dev/archive%40mail-archive.com
Re: [Python-Dev] Python's C interface for types
=?ISO-8859-1?Q?=22Martin_v=2E_L=F6wis=22?= [EMAIL PROTECTED] wrote: [not sure what And so it goes means in English] I apologise. I try to restrain myself from using excessive idiom, but sometimes I forget. It means That is how things are, and there is and will be more of the same. It may be a bit problematic to implement, but I think a clean specification is possible. If a and b are numbers, and a==b, then hash(a)==hash(b). I'm not sure whether approximately 5.0 equals 5 or not: if it does, it should hash the same as 5, if it doesn't, it may or may not hash the same (whatever is easier to implement). For 0: hash(+0.0)==hash(-0.0)==hash(0)=hash(0L)=0 Unfortunately, that assumes that equality is transitive. With the advanced floating-point models, it may not be. For example, if you want to avoid the loss of error information, exact infinity and approximate infinity (the result of overflow) have different semantics. Similarly with infinitesimals. Even at present, Python's float (Decimal probably more so) doesn't allow you to do some things that are quite reasonable. For example, let us say that I am implementing a special function and want to distinguish -0.0 and +0.0. Why can't I use a dictionary? a = float(+0.0) b = float(-0.0) print a, b 0.0 -0.0 c = {a: +0.0, b: -0.0} print c[a], c[b] -0.0 -0.0 Well, we all know why. But it is not what some quite reasonable programmers will expect. And Decimal (with its cohorts and variant precisions) has this problem quite badly - as do I. No, I don't have an answer. You are damned if you do, and damned if you don't. It is an insoluble problem, and CURRENTLY doesn't justify two hashing mechanisms (i.e. ANY difference and EQUALITY difference). Regards, Nick Maclaren, University of Cambridge Computing Service, New Museums Site, Pembroke Street, Cambridge CB2 3QH, England. Email: [EMAIL PROTECTED] Tel.: +44 1223 334761Fax: +44 1223 334679 ___ Python-Dev mailing list Python-Dev@python.org http://mail.python.org/mailman/listinfo/python-dev Unsubscribe: http://mail.python.org/mailman/options/python-dev/archive%40mail-archive.com
[Python-Dev] Python's C interface for types
I have a fair amount of my binary floating-point model written, though even of what I have done only some is debugged (and none has been rigorously tested). But I have hit some things that I can't work out, and one query reduced comp.lang.python to a stunned silence :-) Note that I am not intending to do all the following, at least for now, but I have had to restructure half a dozen times to match my implementation requirements to the C interface (as I have learnt more about Python!) and designing to avoid that is always good. Any pointers appreciated. I can't find any detailed description of the methods that I need to provide. Specifically: Does Python use classic division (nb_divide) and inversion (nb_invert) or are they entirely historical? Note that I can very easily provide the latter. Is there any documentation on the coercion function (nb_coerce)? It seems to have unusual properties. How critical is the 'numeric' property of the nb_hash function? I can certainly honour it, but is it worth it? I assume that Python will call nb_richcompare if defined and nb_compare if not. Is that right? Are the inplace methods used and, if so, what is their specification? I assume that I can ignore all of the allocation, deallocation and attribute handling functions, as the default for a VAR object is fine. That seems to work. Except for one thing! My base type is static, but I create some space for every derivation (and it can ONLY be used in derived form). The space creation is donein C but the derivation in Python. I assume that I need a class (not instance) destructor, but what should it do to free the space? Call C to Py_DECREF it? I assume that a class structure will never go away until after all instances have gone away (unless I use Py_DECREF), so a C pointer from an instance to something owned by the class is OK. Is there any documentation on how to support marshalling/pickling and the converse from C types? I would quite like to provide some attributes. They are 'simple' but need code executing to return them. I assume that means that they aren't simple enough, and have to be provided as methods (like conjugate). That's what I have done, anyway. Is there any obvious place for a reduction method to be hooked in? That is a method that takes a sequence, all members of which must be convertible to a single class, and returns a member of that class. Note that it specifically does NOT make sense on a single value of that class. Sorry about the length of this! Regards, Nick Maclaren, University of Cambridge Computing Service, New Museums Site, Pembroke Street, Cambridge CB2 3QH, England. Email: [EMAIL PROTECTED] Tel.: +44 1223 334761Fax: +44 1223 334679 ___ Python-Dev mailing list Python-Dev@python.org http://mail.python.org/mailman/listinfo/python-dev Unsubscribe: http://mail.python.org/mailman/options/python-dev/archive%40mail-archive.com
Re: [Python-Dev] Python's C interface for types
On 1/26/07, Nick Maclaren [EMAIL PROTECTED] wrote: Does Python use classic division (nb_divide) and inversion (nb_invert) or are they entirely historical? Note that I can very easily provide the latter. nb_divide is used for the division operation (/) when not using 'from __future__ import division', and PyNumber_Divide(). It doesn't fall back to foor_divide or true_divide. nb_invert is used for bitwise inversion (~) and PyNumber_Invert(). It's not historical, it's actual. Is there any documentation on the coercion function (nb_coerce)? It seems to have unusual properties. I don't recall ever seeing useful documentation on coerce() and nb_coerce. I suggest not to use it; it's gone in Python 3.0 anyway. How critical is the 'numeric' property of the nb_hash function? I can certainly honour it, but is it worth it? Which numeric property? the fact that it returns a C long? Or that, for natural numbers, it *seems* to return self? The former is quite important, the latter not very. The important bit is that an object's hash() be equal to the hash() of objects that it is considered equal to. That is to say, if you have 'd = {5: five}' and you want 'f = yourtype(5); d[f]' to result in five, hash(f) must be equal to hash(5). The builtin floats do that. There's no strict requirement that equal objects must have equal hashes, but people using sets and dicts really appreciate it. ('f == 5 and f not in set([5])' to be True would be confusing.) I assume that Python will call nb_richcompare if defined and nb_compare if not. Is that right? Yes. Are the inplace methods used and, if so, what is their specification? (Hah, my specialty.) Inplace methods are used for the augmented-assignment statements: '+=' and the like. They are free to modify 'self' or return a new object. Python falls back to the normal, non-inplace operations if the inplace methods are not defined. I assume your floating-point type is immutable, so you won't have to implement them. (If the type is to be mutable, don't forget to make them unhashable, by not defining nb_hash.) I assume that I can ignore all of the allocation, deallocation and attribute handling functions, as the default for a VAR object is fine. That seems to work. Except for one thing! My base type is static, but I create some space for every derivation (and it can ONLY be used in derived form). The space creation is donein C but the derivation in Python. I assume that I need a class (not instance) destructor, but what should it do to free the space? Call C to Py_DECREF it? Where do you allocate this space, and how do you allocate it? If it's space you malloc() and store somewhere in the type struct, yecchh. You should not just allocate stuff at the end of the type struct, as the type struct's layout is not under your control (we actually extend the type struct as needed, which is why newer features end up in less logical places at the end of the struct ;) I would suggest using attributes of the type instead, with the normal Python refcounting. That means the 'extra space' has to be an actual Python object, though. I assume that a class structure will never go away until after all instances have gone away (unless I use Py_DECREF), so a C pointer from an instance to something owned by the class is OK. Correct. Is there any documentation on how to support marshalling/pickling and the converse from C types? I don't you can make your own type marshallable. For pickle it's more or less the same as for Python types. The pickle docs (and maybe http://www.python.org/dev/peps/pep-0307/) probably cover what you want to know. You can also look at one of the complexer builtin types that support pickling, like the datetime types. I would quite like to provide some attributes. They are 'simple' but need code executing to return them. I assume that means that they aren't simple enough, and have to be provided as methods (like conjugate). That's what I have done, anyway. You can use PyGetSetDef to get 'easy' attributes with getters and setters. http://docs.python.org/api/type-structs.html#l2h-1020 Is there any obvious place for a reduction method to be hooked in? That is a method that takes a sequence, all members of which must be convertible to a single class, and returns a member of that class. Note that it specifically does NOT make sense on a single value of that class. There's nothing I can think of that is a natural match for that in standard Python methods. I would suggest just making it a classmethod. (dict.fromkeysis a good example of a classmethod in C.) As a final note: Python's source itself is a good source of answers and examples. Almost all of the features of the Python API are used in a builtin type or stdlib module, and for C source, Python's source is remarkably readable ;-) -- Thomas Wouters [EMAIL PROTECTED] Hi! I'm a .signature virus! copy me into your .signature file to help me spread!
Re: [Python-Dev] Python's C interface for types
Thanks very much! That answers most things. Yes, I had got many of my answers from searching the source, but there is clearly some history there, and it isn't always clear what is current. Here are a few responses to the areas of confusion: nb_invert is used for bitwise inversion (~) and PyNumber_Invert(). It's not historical, it's actual. Ah! So it's NOT 1/x! No relevant to floating-point, then. I don't recall ever seeing useful documentation on coerce() and nb_coerce. I suggest not to use it; it's gone in Python 3.0 anyway. Excellent! Task completed :-) Which numeric property? the fact that it returns a C long? Or that, for natural numbers, it *seems* to return self? The latter. hash(123) == hash(123.0) for example. It is a real pain for advanced formats. Making it the same for things that compare equal isn't a problem. [inplace ] I assume your floating-point type is immutable, so you won't have to implement them. I haven't done anything special to flag it as such, but it is. Where do you allocate this space, and how do you allocate it? If it's space you malloc() and store somewhere in the type struct, yecchh. You should not just allocate stuff at the end of the type struct, as the type struct's layout is not under your control (we actually extend the type struct as needed, which is why newer features end up in less logical places at the end of the struct ;) I would suggest using attributes of the type instead, with the normal Python refcounting. That means the 'extra space' has to be an actual Python object, though. PyMem_Malloc. I can certainly make it an attribute, as the overhead isn't large for a per-class object. It is just a block of mutable memory, opaque to the Python layer, and NOT containing any pointers! I don't you can make your own type marshallable. For pickle it's more or less the same as for Python types. The pickle docs (and maybe http://www.python.org/dev/peps/pep-0307/) probably cover what you want to know. You can also look at one of the complexer builtin types that support pickling, like the datetime types. The only documentation I have found is how to do it in Python. Is that what you mean? I will look at the datetime types. You can use PyGetSetDef to get 'easy' attributes with getters and setters. http://docs.python.org/api/type-structs.html#l2h-1020 I was put off by some of the warnings. I will revisit it. There's nothing I can think of that is a natural match for that in standard Python methods. I would suggest just making it a classmethod. (dict.fromkeysis a good example of a classmethod in C.) Thanks. That is a useful reference. Reductions are a problem in many languages. Regards, Nick Maclaren, University of Cambridge Computing Service, New Museums Site, Pembroke Street, Cambridge CB2 3QH, England. Email: [EMAIL PROTECTED] Tel.: +44 1223 334761Fax: +44 1223 334679 ___ Python-Dev mailing list Python-Dev@python.org http://mail.python.org/mailman/listinfo/python-dev Unsubscribe: http://mail.python.org/mailman/options/python-dev/archive%40mail-archive.com
Re: [Python-Dev] Python's C interface for types
Oops. Something else fairly major I forgot to ask. Python long. I can't find any clean way of converting to or from this, and would much rather not build a knowledge of long's internals into my code. Going via text is, of course, possible - but is not very efficient, even using hex/octal. Regards, Nick Maclaren, University of Cambridge Computing Service, New Museums Site, Pembroke Street, Cambridge CB2 3QH, England. Email: [EMAIL PROTECTED] Tel.: +44 1223 334761Fax: +44 1223 334679 ___ Python-Dev mailing list Python-Dev@python.org http://mail.python.org/mailman/listinfo/python-dev Unsubscribe: http://mail.python.org/mailman/options/python-dev/archive%40mail-archive.com
Re: [Python-Dev] Python's C interface for types
On 26/01/2007 17.03, Thomas Wouters wrote: How critical is the 'numeric' property of the nb_hash function? I can certainly honour it, but is it worth it? [...] There's no strict requirement that equal objects must have equal hashes, Uh? I thought that was the *only* strict requirement of hash. In fact the docs agree: __hash__( self) Called for the key object for dictionary operations, and by the built-in function hash(). Should return a 32-bit integer usable as a hash value for dictionary operations. The only required property is that objects which compare equal have the same hash value; [...] I personally consider *very* important that hash(5.0) == hash(5) (and that 5.0 == 5, of course). -- Giovanni Bajo ___ Python-Dev mailing list Python-Dev@python.org http://mail.python.org/mailman/listinfo/python-dev Unsubscribe: http://mail.python.org/mailman/options/python-dev/archive%40mail-archive.com
Re: [Python-Dev] Python's C interface for types
Nick Maclaren [EMAIL PROTECTED] wrote: Oops. Something else fairly major I forgot to ask. Python long. I can't find any clean way of converting to or from this, and would much rather not build a knowledge of long's internals into my code. Going via text is, of course, possible - but is not very efficient, even using hex/octal. See _PyLong_FromByteArray and _PyLong_AsByteArray . - Josiah ___ Python-Dev mailing list Python-Dev@python.org http://mail.python.org/mailman/listinfo/python-dev Unsubscribe: http://mail.python.org/mailman/options/python-dev/archive%40mail-archive.com
Re: [Python-Dev] Python's C interface for types
Giovanni Bajo [EMAIL PROTECTED] wrote: I personally consider *very* important that hash(5.0) == hash(5) (and that 5.0 == 5, of course). It gets a bit problematic with floating-point, when you can have different values exactly 5.0 and approximately 5.0. IEEE 754 has signed zeroes. And so it goes. Regards, Nick Maclaren, University of Cambridge Computing Service, New Museums Site, Pembroke Street, Cambridge CB2 3QH, England. Email: [EMAIL PROTECTED] Tel.: +44 1223 334761Fax: +44 1223 334679 ___ Python-Dev mailing list Python-Dev@python.org http://mail.python.org/mailman/listinfo/python-dev Unsubscribe: http://mail.python.org/mailman/options/python-dev/archive%40mail-archive.com
Re: [Python-Dev] Python's C interface for types
Josiah Carlson [EMAIL PROTECTED] wrote: See _PyLong_FromByteArray and _PyLong_AsByteArray . Oops! Thanks very much. Regards, Nick Maclaren, University of Cambridge Computing Service, New Museums Site, Pembroke Street, Cambridge CB2 3QH, England. Email: [EMAIL PROTECTED] Tel.: +44 1223 334761Fax: +44 1223 334679 ___ Python-Dev mailing list Python-Dev@python.org http://mail.python.org/mailman/listinfo/python-dev Unsubscribe: http://mail.python.org/mailman/options/python-dev/archive%40mail-archive.com
Re: [Python-Dev] Python's C interface for types
On Fri, Jan 26, 2007, Giovanni Bajo wrote: On 26/01/2007 17.03, Thomas Wouters wrote: There's no strict requirement that equal objects must have equal hashes, Uh? I thought that was the *only* strict requirement of hash. In fact the docs agree: __hash__( self) Called for the key object for dictionary operations, and by the built-in function hash(). Should return a 32-bit integer usable as a hash value for dictionary operations. The only required property is that objects which compare equal have the same hash value; [...] Possibly the docs should be updated, but this is only intended to apply to objects of the same type. I personally consider *very* important that hash(5.0) == hash(5) (and that 5.0 == 5, of course). Well, sure, but That's Different. -- Aahz ([EMAIL PROTECTED]) * http://www.pythoncraft.com/ I disrespectfully agree. --SJM ___ Python-Dev mailing list Python-Dev@python.org http://mail.python.org/mailman/listinfo/python-dev Unsubscribe: http://mail.python.org/mailman/options/python-dev/archive%40mail-archive.com
Re: [Python-Dev] Python's C interface for types
Having looked into the answers a bit more deeply, I am afraid that I am still a bit puzzled. 1) As I understand it, PyMem_Malloc won't cause trouble, but won't be automatically freed, either, as it doesn't return a new reference. I don't think that immediately following it by PyCObject_FromVoidPtr (which is what I do) helps with that. What I need is some standard type that allows me to allocate an anonymous block of memory; yes, I can define such a type, but that seems excessive. Is there one? 2) _PyLong_FromByteArray and _PyLong_AsByteArray aren't in the API and have no comments. Does that mean that they are unstable, in the sense that they may change behaviour in new versions of Python? And will they be there in 3.0? Thanks for any help, again. Regards, Nick Maclaren, University of Cambridge Computing Service, New Museums Site, Pembroke Street, Cambridge CB2 3QH, England. Email: [EMAIL PROTECTED] Tel.: +44 1223 334761Fax: +44 1223 334679 ___ Python-Dev mailing list Python-Dev@python.org http://mail.python.org/mailman/listinfo/python-dev Unsubscribe: http://mail.python.org/mailman/options/python-dev/archive%40mail-archive.com
Re: [Python-Dev] Python's C interface for types
Nick Maclaren schrieb: I personally consider *very* important that hash(5.0) == hash(5) (and that 5.0 == 5, of course). It gets a bit problematic with floating-point, when you can have different values exactly 5.0 and approximately 5.0. IEEE 754 has signed zeroes. And so it goes. [not sure what And so it goes means in English] It may be a bit problematic to implement, but I think a clean specification is possible. If a and b are numbers, and a==b, then hash(a)==hash(b). I'm not sure whether approximately 5.0 equals 5 or not: if it does, it should hash the same as 5, if it doesn't, it may or may not hash the same (whatever is easier to implement). For 0: hash(+0.0)==hash(-0.0)==hash(0)=hash(0L)=0 Regards, Martin ___ Python-Dev mailing list Python-Dev@python.org http://mail.python.org/mailman/listinfo/python-dev Unsubscribe: http://mail.python.org/mailman/options/python-dev/archive%40mail-archive.com
Re: [Python-Dev] Python's C interface for types
[Nick Maclaren] ... 2) _PyLong_FromByteArray and _PyLong_AsByteArray aren't in the API They're not in the public API, which is equivalent to that their names begin with a leading underscore. They're in the private API :-) and have no comments. The behavior of these functions, including return value and error conditions, is specified in longobject.h. Does that mean that they are unstable, in the sense that they may change behaviour in new versions of Python? They /may/ change, but they won't (== only common sense guarantees they won't change ;-)). And will they be there in 3.0? Almost certainly so. ___ Python-Dev mailing list Python-Dev@python.org http://mail.python.org/mailman/listinfo/python-dev Unsubscribe: http://mail.python.org/mailman/options/python-dev/archive%40mail-archive.com