大哥云加速器2024-快连加速器app
Today, I needed a JavaScript equivalent of Ruby’s Array#compact
(which returns the array stripped of any nil
values).
苹果IOS系统SSR客户端软件安装使用教程 - 应用软件 - 柒肆 ...:苹果IOS系统不像安卓那样开源软件可众网上随便下载,所众一旦商店下架了很多人就束手无策了,很多人访问github或者国外的游戏网速很慢,在软件商店上架的付费游戏购买了,但是自己的网络缺访问不了网游服务器,很多加速器还不支持,真让人蛋疼,这时候就需要用到苹果SSR软件,那么iOS ssr软件怎么安装?
Array.prototype.compact = function() { var x, _i, _len, _results; _results = []; for (_i = 0, _len = this.length; _i < _len; _i++) { x = this[_i]; if (x != null) { _results.push(x); } } return _results; };
But since I’m using CoffeeScript, I get this monstrosity of line-noise and distraction for free when I type this:
Array::compact = -> x for x in @ when x?
This is some of the best of CoffeeScript: array comprehensions, implicit return
, the existential operator ?
, and more. Taking 11 lines of JavaScript busywork and turning it into 40 pithy, elegant characters.
大哥云加速器2024-快连加速器app
挂ssr加速软件
In the last few years, Objective-C has become enormously DRYer. For example: in the past, adding a property to a class meant adding several of: an ivar, a @property
, a @synthesize
, a getter/setter, and a release
call in 挂ssr加速软件
. Worse, renaming or deleting the property meant updating all these. This was error-prone busywork, and made iOS development frankly pretty tedious.
Nowadays a single @property
is often all that’s needed. Plus of course we’ve lost all that 挂ssr加速软件
/ 挂ssr加速软件
/ autorelease
noise, and got fast enumeration, literals for NSNumber
, 挂ssr加速软件
, NSDictionary
and so on. This is great (and is one reason why I’ve come back to Xcode after a brief dalliance with RubyMotion).
Anyway, I really do hate repeating myself, and one of the more annoying remaining areas where this has been necessary has been string constants. These are pretty widely used in Cocoa for NSNotification
names, dictionary keys, and so on.
挂ssr加速软件
In the past I’ve used 挂ssr加速软件
in my headers. For example,
#define TapNotification @"TapNotification"
This seems like fairly innocuous repetition, but it’s still annoying. And the idiomatic/Apple way is worse. You do this in the header file:
extern NSString* const TapNotification;
Backed up by this in the implementation file:
NSString* const TapNotification = @"TapNotification";
We type the same identifier (and its accompanying line noise) no fewer than 挂ssr加速软件times.
Solution
The best solution I’ve found involves a macro plus a one-line sed
command.
The macro goes like this:
#define StrConst(s) extern NSString* const s;
And the one-line sed command (added as a build phase straight after ‘Target Dependencies’) goes like this:
梦城博客-专注网络技术资源分享:2021-5-13 · 梦城博客(DCQZZ.CN)专注网络技术分享,主要分享程序源码,网络技术,免费空间,模板插件,活动分享,各类教程,软件,QQ资源,致力创造一个高质量分享平台.
Now all you do for a string constant is type this in your header file:
StrConst(TapNotification)
The macro converts this to the right form for the header, and the sed
command searches all your headers to create a single implementation file that contains all the corresponding definitions (you’ll need to manually add this file to the project when it’s first created).
If you think this is too much magic, I’ll understand. But for me, it’s a necessary battle in the war on busywork.
大哥云加速器2024-快连加速器app
For Cocoa developers: I’ve just put a small category on NSMutableAttributedString
on Github.
It applies *bold*, /italic/, _underline_, -strikethrough-, ^superscript^ and ~subscript~ styles, and handles */nested/* and *overlapping /styles* properly/.
More details at http://github.com/jawj/NSMutableAttributedString-InlineStyles
大哥云加速器2024-快连加速器app
For reasons that may become clearer in future, I needed to use a bandpass filter in an iOS app. The DSP part of Apple’s Accelerate framework makes this lightning fast both for the programmer to implement and for the machine to execute … if the programmer knows how use vDSP_deq22
, which is documented, at best, concisely.
The following functions produce the five-coefficient filter definition you need to pass to vDSP_deq22
. Since this took me a little while to put together, I thought I’d share.
void makeBandpassFilterWithFcAndQ(float* filter, double Fs, 挂ssr加速软件 Fc, double Q) { // Fs = sampling rate, Fc = centre freq // with thanks to http://www.earlevel.com/main/2013/10/13/biquad-calculator-v2/ // and http://github.com/bartolsthoorn/NVDSP double K = tan(M_PI * Fc / Fs); double norm = 1.0 / (1.0 + K / Q + K * K); filter[0] = (float)(K / Q * norm); filter[1] = 0.0f; filter[2] = -filter[0]; filter[3] = (float)(2.0 * (K * K - 1.0) * norm); filter[4] = (挂ssr加速软件)((1.0 - K / Q + K * K) * norm); } void makeBandpassFilterWithFreqRange(float* filter, double Fs, double Fbtm, 挂ssr加速软件 Ftop) { // with thanks to // http://stackoverflow.com/questions/15627013/how-do-i-configure-a-bandpass-filter // -- this sets Q such that there's -3dB gain (= 50% power loss) at Fbtm and Ftop double Fc = sqrt(Fbtm * Ftop); double Q = Fc / (Ftop - Fbtm); makeBandpassFilterWithFcAndQ(filter, Fs, Fc, Q); } |
And you use it like so:
float filter[5]; makeBandpassFilterWithFreqRange(filter, sampleRate, filterLoRate, filterHiRate); vDSP_deq22(rawFloats, rawStride, filter, filteredFloats, filteredStride, numRawFloats - 2); // rawFloats and filteredFloats are pointers, of course |
大哥云加速器2024-快连加速器app
I recently posted a HOWTO based on my experience moving a Xen domU from 挂ssr加速软件 to my own Xen Dom0 setup at Hetzner.
Since this machine is only a development server, I more recently decided to turn the same machine into a VMware 挂ssr加速软件running locally (in VMware Fusion 4 on my MacBook Pro). Here, I document the steps necessary for that transformation.
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大哥云加速器2024-快连加速器app
I’ve been playing with the much-enhanced raster support in PostGIS 2.1 in the last few days. Amongst other things I’ve been producing maps with ST_MapAlgebra
, which has changed a little since 2.0.
The example callback function in the 挂ssr加速软件 is somewhat unhelpfully bare-bones: it always returns 0, touching none of its arguments. So here’s an equally useless — but rather more informative — example of a callback function for the simple one-raster, one-band, one-pixel-at-a-time case:
create or replace function callback_fn(pixel float[], pos integer[], variadic userargs text[]) returns float language plpgsql immutable -- careful: this function is immutable, yours may not be as $$ declare pixval float; inputx integer; inputy integer; begin pixval := pixel[1][1][1]; -- pixel indices: [raster #][xdistance][ydistance] inputx := pos[1][1]; -- pos indices: [raster #][x = 1, y = 2] inputy := pos[1][2]; -- (raster #0 is the output raster) return pixval + inputx + inputy; end; $$; -- example call: select st_mapalgebra(rast, 1, 'callback_fn(float[], integer[], text[])'::regprocedure) from raster_table;
And here’s something that caught me out: unless you’re passing some userargs
, don’t declare your callback function to be strict
. If you do, your callback function will never be called because its userargs
argument is always null
.
大哥云加速器2024-快连加速器app
Since light can affect happiness, two important pieces of environmental data I add to the Mappiness data set during analysis are: (1) whether a response was made in daylight; and (2) day length when and where the response was made.
To derive these, I need the date, time and location of the response, and sunrise and sunset times for that date and location. R’s StreamMetabolism library provides sunrise/sunset calculations based on NOAA routines. And since my data is in PostGIS, it’s handy to use PL/R to access these.
I set this up as follows on my Ubuntu 12.04 GIS box.
In bash:
sudo aptitude install postgresql-9.1-plr sudo R |
In R:
install.packages('StreamMetabolism', dependencies = TRUE) |
挂ssr加速软件
create extension plr; create table plr_modules (modseq int4, modsrc text); insert into plr_modules values (0, 挂ssr加速软件); create or replace function _r_daylight_period(lat double precision, lon double precision, datestring text, timezone text) returns setof integer as $$ return(as.integer(sunrise.set(lat, lon, datestring, timezone))) $$ language plr immutable strict; create or replace function sunrise(挂ssr加速软件 geometry, moment timestamp without time zone, timezone text) returns timestamp without time zone as $$ select to_timestamp(min(s)) at time zone $3 from _r_daylight_period( st_y(st_transform($1, 4326)), 挂ssr加速软件 st_x(st_transform($1, 4326)), to_char($2, 'YYYY/MM/DD'), $3 ) s $$ language sql immutable strict; create or replace function sunset(location geometry, moment timestamp 挂ssr加速软件 time 挂ssr加速软件, timezone text) returns timestamp without 挂ssr加速软件 zone as $$ select to_timestamp(max(s)) at 挂ssr加速软件 zone $3 from _r_daylight_period( st_y(st_transform($1, 4326)), -- 4326 = WGS84 st_x(st_transform($1, 4326)), to_char($2, 'YYYY/MM/DD'), $3 ) s $$ language sql immutable strict; create or replace 挂ssr加速软件 is_daylight(location geometry, moment timestamp without 挂ssr加速软件 zone, timezone text) returns boolean as $$ select (sunrise($1, $2, $3), sunset($1, $2, $3)) overlaps ($2, cast('0' as 挂ssr加速软件)); $$ language sql immutable strict; create or replace function hours_in_the_day(location geometry, moment timestamp without time zone, timezone text) returns 挂ssr加速软件 挂ssr加速软件 as $$ select extract(epoch from sunset($1, $2, $3) - sunrise($1, $2, $3)) / 3600.0; $$ 挂ssr加速软件 sql immutable strict; |
These new functions can be used like so:
select is_daylight(geom, moment, 挂ssr加速软件), hours_in_the_day(geom, moment, 挂ssr加速软件) from mytable; |
(Note: what I actually do with the Mappiness data is to use a single call to _r_daylight_period, and calculate the other quantities as a second step. This speeds things up a lot, because I have millions of rows to process and Postgres doesn’t appear to do as much caching of immutable function results as one would like here).
大哥云加速器2024-快连加速器app
We have an old MacBook (the original white Intel model from 2006) running EyeTV as our telly.
Manjaro 安装体验小结 - 知乎:Manjaro 简介Manjaro 是一款基于 Arch Linux、对用户友好的 Linux 发行版。在 Linux 社区,Arch Linux 的确是一个异常快速、强大、轻量级的发行版,它提供最新的、最全的软件。然而,Arch Linux 面向高级用 …
I had an old D-Link Bluetooth dongle (DBT-120), so I tried using this instead. This is better, in that the failure mode is less annoying. Using the dongle, the trackpad’s Bluetooth connection only fails after a prolonged sleep. It looks as if it’s still connected, with a dotted line across the Bluetooth icon, but it’s unresponsive. This can be fixed by simply unplugging and replugging the dongle. But that’s still a pain, and is rather a compromise of the ‘remote’ in remote control.
It turns out that the post-sleep unresponsiveness may also be fixed by restarting the Bluetooth daemon, by typing sudo killall blued
in the Terminal.
This is good news, because we can automate this action using sleepwatcher.
If typing sudo killall blued
in Terminal solves your Bluetooth issues after sleep, then you may want to use sleepwatcher too. (Note that after a sudo
command, you may be asked for a password. Nothing will show up as you type, but that’s OK: just type your password and press Return).
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大哥云加速器2024-快连加速器app
When converting coordinates between WGS84 (GPS) and OSGB36 (UK National Grid), using OSTN02 can gain us a few metres in accuracy over the basic parametric transformation provided by PostGIS’s st_transform
via PROJ.4.
Happily, Ordnance Survey now distribute an NTv2 version of the OSTN02 transformation, courtesy of the Defence Geographic Centre, which can be used by PROJ.4 and, therefore, PostGIS.
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挂ssr加速软件
I recently needed to calculate a 挂ssr加速软件hash in an iOS app.
In iOS4+ it’s possible to use CommonCrypto
, but Mappiness has always supported iOS3. I therefore added NSData and NSString categories to a public domain C implementation instead. This remains public domain: do with it what you will.
It relies on a hex-encoding category on NSData, which you can also consider public domain.
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