digitalmars.D - Time for 2.067
- Walter Bright (2/2) Jan 30 2015 Time to button this up and release it. Remaining regressions:
- Rikki Cattermole (3/5) Jan 30 2015 Can I please have another review of my PR?
- AndyC (5/7) Jan 30 2015 How about this one: https://issues.dlang.org/show_bug.cgi?id=7762
- Walter Bright (3/10) Jan 30 2015 It's resolves as "worksforme". If someone reports that it is still causi...
- zeljkog (13/24) Jan 31 2015 It is related to new rules with -property flag.
- H. S. Teoh via Digitalmars-d (14/17) Jan 30 2015 Have we reached a final decision about what exactly groupBy should
- Andrei Alexandrescu (9/21) Jan 30 2015 Sorry, I thought that was in the bag. Keep current semantics, call it
- Andrei Alexandrescu (2/3) Jan 30 2015 s/binary/unary/
- "Ulrich =?UTF-8?B?S8O8dHRsZXIi?= <kuettler gmail.com> (20/23) Feb 02 2015 I might miss some information on this, so please forgive my naive
- Andrei Alexandrescu (12/31) Feb 04 2015 Probably we need to change that because aggregate should integrate
- "Ulrich =?UTF-8?B?S8O8dHRsZXIi?= <kuettler gmail.com> (47/91) Feb 05 2015 I understand and agree. My suggestion aims to avoid this
- Vladimir Panteleev (15/17) Jan 30 2015 The recent website overhaul broke a few documentation-related
- Martin Nowak (4/7) Feb 15 2015 https://github.com/D-Programming-Language/installer/blob/4d57e861a2b1576...
- Martin Nowak (3/5) Jan 30 2015 Please let's finish the GC work for 2.067, will take about 1-1.5
- Andrei Alexandrescu (3/9) Jan 30 2015 Can we commit to having stuff done by Feb 15 for a release on Mar 1? --
- Martin Nowak (2/4) Jan 31 2015 Sounds good, work on regressions should start soon and we should
- Dicebot (2/4) Feb 01 2015 You are not going to do a release branch?
- Puneet Goel (8/12) Feb 04 2015 Martin
Time to button this up and release it. Remaining regressions: https://issues.dlang.org/buglist.cgi?bug_severity=regression&bug_status=NEW&bug_status=ASSIGNED&bug_status=REOPENED&list_id=192294&query_format=advanced
Jan 30 2015
On 31/01/2015 11:05 a.m., Walter Bright wrote:Time to button this up and release it. Remaining regressions: https://issues.dlang.org/buglist.cgi?bug_severity=regression&bug_status=NEW&bug_status=ASSIGNED&bug_status=REOPENED&list_id=192294&query_format=advancedCan I please have another review of my PR? https://github.com/D-Programming-Language/dmd/pull/3921
Jan 30 2015
On Friday, 30 January 2015 at 22:06:34 UTC, Walter Bright wrote:Time to button this up and release it. Remaining regressions: https://issues.dlang.org/buglist.cgi?bug_severity=regression&bug_status=NEW&bug_status=ASSIGNED&bug_status=REOPENED&list_id=192294&query_format=advancedHow about this one: https://issues.dlang.org/show_bug.cgi?id=7762 Not sure if its supposed to compile, but it was reported master wouldn't. -Andy
Jan 30 2015
On 1/30/2015 2:24 PM, AndyC wrote:On Friday, 30 January 2015 at 22:06:34 UTC, Walter Bright wrote:It's resolves as "worksforme". If someone reports that it is still causing problems, it should be reopened.Time to button this up and release it. Remaining regressions: https://issues.dlang.org/buglist.cgi?bug_severity=regression&bug_status=NEW&bug_status=ASSIGNED&bug_status=REOPENED&list_id=192294&query_format=advancedHow about this one: https://issues.dlang.org/show_bug.cgi?id=7762 Not sure if its supposed to compile, but it was reported master wouldn't.
Jan 30 2015
On 30.01.15 23:24, AndyC wrote:On Friday, 30 January 2015 at 22:06:34 UTC, Walter Bright wrote:It is related to new rules with -property flag. import std.stdio; int f(int a){ return a + 10; } void main() { auto x = 20; writeln(x.f); } This compiles with 2.66.1, but with master: Error: not a property x.f There are such things in Phobos (std\functional and ?).Time to button this up and release it. Remaining regressions: https://issues.dlang.org/buglist.cgi?bug_severity=regression&bug_status=NEW&bug_status=ASSIGNED&bug_status=REOPENED&list_id=192294&q ery_format=advancedHow about this one: https://issues.dlang.org/show_bug.cgi?id=7762 Not sure if its supposed to compile, but it was reported master wouldn't. -Andy
Jan 31 2015
On Fri, Jan 30, 2015 at 02:05:52PM -0800, Walter Bright via Digitalmars-d wrote:Time to button this up and release it. Remaining regressions: https://issues.dlang.org/buglist.cgi?bug_severity=regression&bug_status=NEW&bug_status=ASSIGNED&bug_status=REOPENED&list_id=192294&query_format=advancedHave we reached a final decision about what exactly groupBy should return? (Or whether it should even be called 'groupBy'?) Last I heard, there wasn't a firm decision. We should not release with an undecided-on API, because that will make it much harder to change later (we will need to go through a full deprecation cycle, and possibly waste the name 'groupBy'). If we can't decide before release, we might have to revert groupBy for the time being. There's also the [$] issue: are we keeping it or dumping it? There may be one or two other issues that we need to iron out before release, but they just slipped my mind now. T -- Shin: (n.) A device for finding furniture in the dark.
Jan 30 2015
On 1/30/15 2:35 PM, H. S. Teoh via Digitalmars-d wrote:On Fri, Jan 30, 2015 at 02:05:52PM -0800, Walter Bright via Digitalmars-d wrote:Sorry, I thought that was in the bag. Keep current semantics, call it chunkBy. Add the key to each group when the predicate is binary. Make sure aggregate() works nice with chunkBy(). Stuff that can wait: grouping and aggregation for SortedRange.Time to button this up and release it. Remaining regressions: https://issues.dlang.org/buglist.cgi?bug_severity=regression&bug_status=NEW&bug_status=ASSIGNED&bug_status=REOPENED&list_id=192294&query_format=advancedHave we reached a final decision about what exactly groupBy should return? (Or whether it should even be called 'groupBy'?) Last I heard, there wasn't a firm decision. We should not release with an undecided-on API, because that will make it much harder to change later (we will need to go through a full deprecation cycle, and possibly waste the name 'groupBy'). If we can't decide before release, we might have to revert groupBy for the time being.There's also the [$] issue: are we keeping it or dumping it?I think we can at least delay it until (a) the partial deduction is clearly defined, and (b) we figure whether a library solution is enough. I need more signal from our brass please. Andrei
Jan 30 2015
On 1/30/15 3:17 PM, Andrei Alexandrescu wrote:Add the key to each group when the predicate is binary.s/binary/unary/
Jan 30 2015
On Friday, 30 January 2015 at 23:17:09 UTC, Andrei Alexandrescu wrote:Sorry, I thought that was in the bag. Keep current semantics, call it chunkBy. Add the key to each group when the predicate is unary. Make sure aggregate() works nice with chunkBy().I might miss some information on this, so please forgive my naive question. Your requirements seem to be contradictory to me. 1. aggregate expects a range of ranges 2. you ask chunkBy to return something that is not a range of ranges 3. you ask chunkBy to play along nicely with aggregate There are certainly ways to make this work. Adding a special version of aggregate comes to mind. However, I fail to see the rational behind this. To me the beauty of range is the composibility of "simple" constructs to create complex behavior. The current chunkBy does not need to be changed to "add the key to each group when the predicate is unary": r.map!(pred, "a") .chunkBy!("a[0]") .map!(inner => tuple(inner.front[0], inner.map!"a[1]")); So I'd like to know why the above is inferior to a rework of the chunkBy's implementation. Maybe this is a question for D.learn.
Feb 02 2015
On 2/2/15 2:42 PM, "Ulrich =?UTF-8?B?S8O8dHRsZXIi?= <kuettler gmail.com>" wrote:On Friday, 30 January 2015 at 23:17:09 UTC, Andrei Alexandrescu wrote:Probably we need to change that because aggregate should integrate seamlessly with chunkBy.Sorry, I thought that was in the bag. Keep current semantics, call it chunkBy. Add the key to each group when the predicate is unary. Make sure aggregate() works nice with chunkBy().I might miss some information on this, so please forgive my naive question. Your requirements seem to be contradictory to me. 1. aggregate expects a range of ranges2. you ask chunkBy to return something that is not a range of rangesYah.3. you ask chunkBy to play along nicely with aggregateYah.There are certainly ways to make this work. Adding a special version of aggregate comes to mind. However, I fail to see the rational behind this.Rationale as discussed is that the key value for each group is useful information. Returning a range of ranges would waste that information forcing e.g. its recomputation.To me the beauty of range is the composibility of "simple" constructs to create complex behavior. The current chunkBy does not need to be changed to "add the key to each group when the predicate is unary": r.map!(pred, "a") .chunkBy!("a[0]") .map!(inner => tuple(inner.front[0], inner.map!"a[1]")); So I'd like to know why the above is inferior to a rework of the chunkBy's implementation. Maybe this is a question for D.learn.Wouldn't that force recomputation if a more complex expression replaced a[0]? Andrei
Feb 04 2015
On Thursday, 5 February 2015 at 03:00:53 UTC, Andrei Alexandrescu wrote:On 2/2/15 2:42 PM, "Ulrich =?UTF-8?B?S8O8dHRsZXIi?= <kuettler gmail.com>" wrote:I understand and agree. My suggestion aims to avoid this particular waste. See below.On Friday, 30 January 2015 at 23:17:09 UTC, Andrei Alexandrescu wrote:Probably we need to change that because aggregate should integrate seamlessly with chunkBy.Sorry, I thought that was in the bag. Keep current semantics, call it chunkBy. Add the key to each group when the predicate is unary. Make sure aggregate() works nice with chunkBy().I might miss some information on this, so please forgive my naive question. Your requirements seem to be contradictory to me. 1. aggregate expects a range of ranges2. you ask chunkBy to return something that is not a range of rangesYah.3. you ask chunkBy to play along nicely with aggregateYah.There are certainly ways to make this work. Adding a special version of aggregate comes to mind. However, I fail to see the rational behind this.Rationale as discussed is that the key value for each group is useful information. Returning a range of ranges would waste that information forcing e.g. its recomputation.I do not think you ever want to replace a[0] here. In the code above the (original) predicate to chunkBy is pred. The idea is to evaluate the predicate outside of chunkBy. Create a range of tuples from the original range, chunk the range of tuples and construct the desired result from the chunked range of tuples. // create a range of `tuple(pred(a), a)` r.map!(pred, "a") // chunk the range of tuples based of the first tuple element // this results in a range of ranges of tuples .chunkBy!("a[0]") // convert the inner ranges of tuples to a tuple of the predicate applied and the appropriate range .map!(inner => tuple(inner.front[0], inner.map!"a[1]")); The construction of a range of tuples is not for free. On the bright side: * you only do it when you need it * if your predicate is that heavy, you might want to precompute it anyway * a modified chunkBy is not exactly free either (and you pay the price even if you do not need the key value) Now I learned that map is very lazy and applies the function inside front(). Thus, the above might actually result in multiple evaluations of the predicate. Luckily, there is the new cache function: auto chunkByStar(alias pred, Range)(Range r) { return r.map!(pred, "a") .cache .chunkBy!("a[0]") .map!(inner => tuple(inner.front[0], inner.map!"a[1]")); } My point here is, we can construct a version of chunkBy that does not waste the key value with modest means. With great power comes great flexibility. I wanted to sneak this in as an example, because it is not clear what eventual users might actually need. On the other hand there is no limit to the special cases we could add. aggregate might not be the only function to work with chunkBy. And even an aggregate function that takes a tuple of a range and something else and only uses the range seems wrong to me, given expressive the power D has. The transformation of the range is just on map away: chunkByStar!(...)(r).map!"a[1]".aggregate!max Then again, I might be missing something huge here.To me the beauty of range is the composibility of "simple" constructs to create complex behavior. The current chunkBy does not need to be changed to "add the key to each group when the predicate is unary": r.map!(pred, "a") .chunkBy!("a[0]") .map!(inner => tuple(inner.front[0], inner.map!"a[1]")); So I'd like to know why the above is inferior to a rework of the chunkBy's implementation. Maybe this is a question for D.learn.Wouldn't that force recomputation if a more complex expression replaced a[0]?
Feb 05 2015
On Friday, 30 January 2015 at 22:06:34 UTC, Walter Bright wrote:Time to button this up and release it. Remaining regressions: https://issues.dlang.org/buglist.cgi?bug_severity=regression&bug_status=NEW&bug_status=ASSIGNED&bug_status=REOPENED&list_id=192294&query_format=advancedThe recent website overhaul broke a few documentation-related things. CHM generation is currently broken. Fix: https://github.com/D-Programming-Language/dlang.org/pull/873 I don't know how the .html files that are included in dmd.zip are generated. Please try and see if it works for you. If not, I can look into it if you open-source your process. There is also the issue that links to e.g. std_algorithm.html will be broken, because that module no longer exists. Currently, the Makefiles generate std_algorithm_package.html, which will likely cause old links to point to stale versions of the std.algorithm (the module)'s documentation. I think std.algorithm.package documentation should be written to std_algorithm.html, or some sort of redirect be set up.
Jan 30 2015
On Saturday, 31 January 2015 at 02:22:59 UTC, Vladimir Panteleev wrote:I don't know how the .html files that are included in dmd.zip are generated. Please try and see if it works for you. If not, I can look into it if you open-source your process.https://github.com/D-Programming-Language/installer/blob/4d57e861a2b15767f5e004b74a4578205dc03e3e/create_dmd_release/create_dmd_release.d#L784 Not sure if anyone is actually using those HTML files.
Feb 15 2015
On Friday, 30 January 2015 at 22:06:34 UTC, Walter Bright wrote:Time to button this up and release it. Remaining regressions: https://issues.dlang.org/buglist.cgi?bug_severity=regression&bug_status=NEW&bug_status=ASSIGNED&bug_status=REOPENED&list_id=192294&query_format=advancedPlease let's finish the GC work for 2.067, will take about 1-1.5 week.
Jan 30 2015
On 1/30/15 6:39 PM, Martin Nowak wrote:On Friday, 30 January 2015 at 22:06:34 UTC, Walter Bright wrote:Can we commit to having stuff done by Feb 15 for a release on Mar 1? -- AndreiTime to button this up and release it. Remaining regressions: https://issues.dlang.org/buglist.cgi?bug_severity=regression&bug_status=NEW&bug_status=ASSIGNED&bug_status=REOPENED&list_id=192294&query_format=advancedPlease let's finish the GC work for 2.067, will take about 1-1.5 week.
Jan 30 2015
Can we commit to having stuff done by Feb 15 for a release on Mar 1? -- AndreiSounds good, work on regressions should start soon and we should no longer add features.
Jan 31 2015
On Saturday, 31 January 2015 at 09:14:14 UTC, Martin Nowak wrote:Sounds good, work on regressions should start soon and we should no longer add features.You are not going to do a release branch?
Feb 01 2015
On Saturday, 31 January 2015 at 09:14:14 UTC, Martin Nowak wrote:Martin Can you take a look at https://issues.dlang.org/show_bug.cgi?id=14126 ? Not sure if this regression is related to recent changes in the GC. But if it is, it might be prudent to postpone merging in the changes into 2.067. - PuneetCan we commit to having stuff done by Feb 15 for a release on Mar 1? -- AndreiSounds good, work on regressions should start soon and we should no longer add features.
Feb 04 2015