mirror of
https://codeberg.org/andyscott/ziglings.git
synced 2024-11-08 11:20:46 -05:00
Merge upstream with solutions
This commit is contained in:
commit
4941158639
11 changed files with 332 additions and 30 deletions
|
@ -1,2 +1,2 @@
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|||
# Ziglings
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# ⚠️ (My solutions, not the [original exercises](https://codeberg.org/ziglings/exercises))
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# ⚠️ My solutions, not the [original exercises](https://codeberg.org/ziglings/exercises)
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||||
|
|
30
build.zig
30
build.zig
|
@ -15,7 +15,7 @@ const print = std.debug.print;
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|||
// 1) Getting Started
|
||||
// 2) Version Changes
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||||
comptime {
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||||
const required_zig = "0.12.0-dev.2618";
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||||
const required_zig = "0.12.0-dev.3397";
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||||
const current_zig = builtin.zig_version;
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||||
const min_zig = std.SemanticVersion.parse(required_zig) catch unreachable;
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||||
if (current_zig.order(min_zig) == .lt) {
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|
@ -119,7 +119,7 @@ pub const logo =
|
|||
;
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||||
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||||
pub fn build(b: *Build) !void {
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if (!validate_exercises()) std.os.exit(2);
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||||
if (!validate_exercises()) std.process.exit(2);
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||||
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||||
use_color_escapes = false;
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||||
if (std.io.getStdErr().supportsAnsiEscapeCodes()) {
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||||
|
@ -172,7 +172,7 @@ pub fn build(b: *Build) !void {
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// Named build mode: verifies a single exercise.
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||||
if (n == 0 or n > exercises.len - 1) {
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||||
print("unknown exercise number: {}\n", .{n});
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||||
std.os.exit(2);
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std.process.exit(2);
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||||
}
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const ex = exercises[n - 1];
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|
@ -262,7 +262,7 @@ const ZiglingStep = struct {
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print("\n{s}Ziglings hint: {s}{s}", .{ bold_text, hint, reset_text });
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||||
self.help();
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||||
std.os.exit(2);
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||||
std.process.exit(2);
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||||
};
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||||
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self.run(exe_path.?, prog_node) catch {
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||||
|
@ -272,7 +272,7 @@ const ZiglingStep = struct {
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|||
print("\n{s}Ziglings hint: {s}{s}", .{ bold_text, hint, reset_text });
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||||
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||||
self.help();
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||||
std.os.exit(2);
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std.process.exit(2);
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};
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||||
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// Print possible warning/debug messages.
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||||
|
@ -939,7 +939,7 @@ const exercises = [_]Exercise{
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|||
.{
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.main_file = "082_anonymous_structs3.zig",
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.output =
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\\"0"(bool):true "1"(bool):false "2"(i32):42 "3"(f32):3.14159202e+00
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||||
\\"0"(bool):true "1"(bool):false "2"(i32):42 "3"(f32):3.141592e0
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,
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||||
.hint = "This one is a challenge! But you have everything you need.",
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||||
},
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||||
|
@ -1103,6 +1103,24 @@ const exercises = [_]Exercise{
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\\This little poem has 15 words!
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||||
,
|
||||
},
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||||
.{
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||||
.main_file = "104_threading.zig",
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.output =
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\\Starting work...
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\\thread 1: started.
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\\thread 2: started.
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\\thread 3: started.
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||||
\\Some weird stuff, after starting the threads.
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\\thread 2: finished.
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\\thread 1: finished.
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\\thread 3: finished.
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\\Zig is cool!
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||||
,
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||||
},
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||||
.{
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.main_file = "105_threading2.zig",
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||||
.output = "PI ≈ 3.14159265",
|
||||
},
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||||
.{
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||||
.main_file = "999_the_end.zig",
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||||
.output =
|
||||
|
|
|
@ -141,9 +141,20 @@ pub fn main() void {
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|||
//
|
||||
// Moving along...
|
||||
//
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||||
// Passing arguments to functions is pretty much exactly like
|
||||
// making an assignment to a const (since Zig enforces that ALL
|
||||
// function parameters are const).
|
||||
// When arguments are passed to a function,
|
||||
// they are ALWAYS passed as constants within the function,
|
||||
// regardless of how they were declared in the calling function.
|
||||
//
|
||||
// Example:
|
||||
// fn foo(arg: u8) void {
|
||||
// arg = 42; // Error, 'arg' is const!
|
||||
// }
|
||||
//
|
||||
// fn bar() void {
|
||||
// var arg: u8 = 12;
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||||
// foo(arg);
|
||||
// ...
|
||||
// }
|
||||
//
|
||||
// Knowing this, see if you can make levelUp() work as expected -
|
||||
// it should add the specified amount to the supplied character's
|
||||
|
|
|
@ -2,12 +2,12 @@
|
|||
// Zig lets you express integer literals in several convenient
|
||||
// formats. These are all the same value:
|
||||
//
|
||||
// const a1: u8 = 65; // decimal
|
||||
// const a2: u8 = 0x41; // hexadecimal
|
||||
// const a3: u8 = 0o101; // octal
|
||||
// const a4: u8 = 0b1000001; // binary
|
||||
// const a5: u8 = 'A'; // ASCII code point literal
|
||||
// const a6: u16 = 'Ȁ'; // Unicode code points can take up to 21 bits
|
||||
// const a1: u8 = 65; // decimal
|
||||
// const a2: u8 = 0x41; // hexadecimal
|
||||
// const a3: u8 = 0o101; // octal
|
||||
// const a4: u8 = 0b1000001; // binary
|
||||
// const a5: u8 = 'A'; // ASCII code point literal
|
||||
// const a6: u16 = '\u{0041}'; // Unicode code points can take up to 21 bits
|
||||
//
|
||||
// You can also place underscores in numbers to aid readability:
|
||||
//
|
||||
|
|
|
@ -1,19 +1,26 @@
|
|||
//
|
||||
// Often, C functions are used where no equivalent Zig function exists
|
||||
// yet. Since the integration of a C function is very simple, as already
|
||||
// yet. Okay, that's getting less and less. ;-)
|
||||
//
|
||||
// Since the integration of a C function is very simple, as already
|
||||
// seen in the last exercise, it naturally offers itself to use the
|
||||
// very large variety of C functions for our own programs.
|
||||
// As an example:
|
||||
//
|
||||
// Let's say we have a given angle of 765.2 degrees. If we want to
|
||||
// normalize that, it means that we have to subtract X * 360 degrees
|
||||
// to get the correct angle. How could we do that? A good method is
|
||||
// to use the modulo function. But if we write "765.2 % 360", it won't
|
||||
// work, because the standard modulo function works only with integer
|
||||
// values. In the C library "math", there is a function called "fmod";
|
||||
// the "f" stands for floating and means that we can solve modulo for
|
||||
// real numbers. With this function, it should be possible to normalize
|
||||
// our angle. Let's go.
|
||||
// to get the correct angle.
|
||||
// How could we do that? A good method is to use the modulo function.
|
||||
// But if we write "765.2 % 360", it only works with float values
|
||||
// that are known at compile time.
|
||||
// In Zig, we would use %mod(a, b) instead.
|
||||
//
|
||||
// Let us now assume that we cannot do this in Zig, but only with
|
||||
// a C function from the standard library. In the library "math",
|
||||
// there is a function called "fmod"; the "f" stands for floating
|
||||
// and means that we can solve modulo for real numbers. With this
|
||||
// function, it should be possible to normalize our angle.
|
||||
// Let's go.
|
||||
|
||||
const std = @import("std");
|
||||
|
||||
|
|
129
exercises/104_threading.zig
Normal file
129
exercises/104_threading.zig
Normal file
|
@ -0,0 +1,129 @@
|
|||
//
|
||||
// Whenever there is a lot to calculate, the question arises as to how
|
||||
// tasks can be carried out simultaneously. We have already learned about
|
||||
// one possibility, namely asynchronous processes, in Exercises 84-91.
|
||||
//
|
||||
// However, the computing power of the processor is only distributed to
|
||||
// the started tasks, which always reaches its limits when pure computing
|
||||
// power is called up.
|
||||
//
|
||||
// For example, in blockchains based on proof of work, the miners have
|
||||
// to find a nonce for a certain character string so that the first m bits
|
||||
// in the hash of the character string and the nonce are zeros.
|
||||
// As the miner who can solve the task first receives the reward, everyone
|
||||
// tries to complete the calculations as quickly as possible.
|
||||
//
|
||||
// This is where multithreading comes into play, where tasks are actually
|
||||
// distributed across several cores of the CPU or GPU, which then really
|
||||
// means a multiplication of performance.
|
||||
//
|
||||
// The following diagram roughly illustrates the difference between the
|
||||
// various types of process execution.
|
||||
// The 'Overall Time' column is intended to illustrate how the time is
|
||||
// affected if, instead of one core as in synchronous and asynchronous
|
||||
// processing, a second core now helps to complete the work in multithreading.
|
||||
//
|
||||
// In the ideal case shown, execution takes only half the time compared
|
||||
// to the synchronous single thread. And even asynchronous processing
|
||||
// is only slightly faster in comparison.
|
||||
//
|
||||
//
|
||||
// Synchronous Asynchronous
|
||||
// Processing Processing Multithreading
|
||||
// ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐
|
||||
// │ Thread 1 │ │ Thread 1 │ │ Thread 1 │ │ Thread 2 │
|
||||
// ├──────────┤ ├──────────┤ ├──────────┤ ├──────────┤ Overall Time
|
||||
// └──┼┼┼┼┼───┴─┴──┼┼┼┼┼───┴──┴──┼┼┼┼┼───┴─┴──┼┼┼┼┼───┴──┬───────┬───────┬──
|
||||
// ├───┤ ├───┤ ├───┤ ├───┤ │ │ │
|
||||
// │ T │ │ T │ │ T │ │ T │ │ │ │
|
||||
// │ a │ │ a │ │ a │ │ a │ │ │ │
|
||||
// │ s │ │ s │ │ s │ │ s │ │ │ │
|
||||
// │ k │ │ k │ │ k │ │ k │ │ │ │
|
||||
// │ │ │ │ │ │ │ │ │ │ │
|
||||
// │ 1 │ │ 1 │ │ 1 │ │ 3 │ │ │ │
|
||||
// └─┬─┘ └─┬─┘ └─┬─┘ └─┬─┘ │ │ │
|
||||
// │ │ │ │ 5 Sec │ │
|
||||
// ┌────┴───┐ ┌─┴─┐ ┌─┴─┐ ┌─┴─┐ │ │ │
|
||||
// │Blocking│ │ T │ │ T │ │ T │ │ │ │
|
||||
// └────┬───┘ │ a │ │ a │ │ a │ │ │ │
|
||||
// │ │ s │ │ s │ │ s │ │ 8 Sec │
|
||||
// ┌─┴─┐ │ k │ │ k │ │ k │ │ │ │
|
||||
// │ T │ │ │ │ │ │ │ │ │ │
|
||||
// │ a │ │ 2 │ │ 2 │ │ 4 │ │ │ │
|
||||
// │ s │ └─┬─┘ ├───┤ ├───┤ │ │ │
|
||||
// │ k │ │ │┼┼┼│ │┼┼┼│ ▼ │ 10 Sec
|
||||
// │ │ ┌─┴─┐ └───┴────────┴───┴───────── │ │
|
||||
// │ 1 │ │ T │ │ │
|
||||
// └─┬─┘ │ a │ │ │
|
||||
// │ │ s │ │ │
|
||||
// ┌─┴─┐ │ k │ │ │
|
||||
// │ T │ │ │ │ │
|
||||
// │ a │ │ 1 │ │ │
|
||||
// │ s │ ├───┤ │ │
|
||||
// │ k │ │┼┼┼│ ▼ │
|
||||
// │ │ └───┴──────────────────────────────────────────── │
|
||||
// │ 2 │ │
|
||||
// ├───┤ │
|
||||
// │┼┼┼│ ▼
|
||||
// └───┴────────────────────────────────────────────────────────────────
|
||||
//
|
||||
//
|
||||
// The diagram was modeled on the one in a blog in which the differences
|
||||
// between asynchronous processing and multithreading are explained in detail:
|
||||
// https://blog.devgenius.io/multi-threading-vs-asynchronous-programming-what-is-the-difference-3ebfe1179a5
|
||||
//
|
||||
// Our exercise is essentially about clarifying the approach in Zig and
|
||||
// therefore we try to keep it as simple as possible.
|
||||
// Multithreading in itself is already difficult enough. ;-)
|
||||
//
|
||||
const std = @import("std");
|
||||
|
||||
pub fn main() !void {
|
||||
// This is where the preparatory work takes place
|
||||
// before the parallel processing begins.
|
||||
std.debug.print("Starting work...\n", .{});
|
||||
|
||||
// These curly brackets are very important, they are necessary
|
||||
// to enclose the area where the threads are called.
|
||||
// Without these brackets, the program would not wait for the
|
||||
// end of the threads and they would continue to run beyond the
|
||||
// end of the program.
|
||||
{
|
||||
// Now we start the first thread, with the number as parameter
|
||||
const handle = try std.Thread.spawn(.{}, thread_function, .{1});
|
||||
|
||||
// Waits for the thread to complete,
|
||||
// then deallocates any resources created on `spawn()`.
|
||||
defer handle.join();
|
||||
|
||||
// Second thread
|
||||
const handle2 = try std.Thread.spawn(.{}, thread_function, .{-4}); // that can't be right?
|
||||
defer handle2.join();
|
||||
|
||||
// Third thread
|
||||
const handle3 = try std.Thread.spawn(.{}, thread_function, .{3});
|
||||
defer ??? // <-- something is missing
|
||||
|
||||
// After the threads have been started,
|
||||
// they run in parallel and we can still do some work in between.
|
||||
std.time.sleep((1) * std.time.ns_per_s);
|
||||
std.debug.print("Some weird stuff, after starting the threads.\n", .{});
|
||||
}
|
||||
// After we have left the closed area, we wait until
|
||||
// the threads have run through, if this has not yet been the case.
|
||||
std.debug.print("Zig is cool!\n", .{});
|
||||
}
|
||||
|
||||
// This function is started with every thread that we set up.
|
||||
// In our example, we pass the number of the thread as a parameter.
|
||||
fn thread_function(num: usize) !void {
|
||||
std.debug.print("thread {d}: {s}\n", .{ num, "started." });
|
||||
std.time.sleep((5 - num % 3) * std.time.ns_per_s);
|
||||
std.debug.print("thread {d}: {s}\n", .{ num, "finished." });
|
||||
}
|
||||
// This is the easiest way to run threads in parallel.
|
||||
// In general, however, more management effort is required,
|
||||
// e.g. by setting up a pool and allowing the threads to communicate
|
||||
// with each other using semaphores.
|
||||
//
|
||||
// But that's a topic for another exercise.
|
107
exercises/105_threading2.zig
Normal file
107
exercises/105_threading2.zig
Normal file
|
@ -0,0 +1,107 @@
|
|||
//
|
||||
// Now that we are familiar with the principles of multi threading, we
|
||||
// boldly venture into a practical example from mathematics.
|
||||
// We will determine the circle number PI with sufficient accuracy.
|
||||
//
|
||||
// There are different methods for this, and some of them are several
|
||||
// hundred years old. For us, the dusty procedures are surprisingly well
|
||||
// suited to our exercise. Because the mathematicians of the time didn't
|
||||
// have fancy computers with which we can calculate something like this
|
||||
// in seconds today.
|
||||
// Whereby, of course, it depends on the accuracy, i.e. how many digits
|
||||
// after the decimal point we are interested in.
|
||||
// But these old procedures can still be tackled with paper and pencil,
|
||||
// which is why they are easier for us to understand.
|
||||
// At least for me. ;-)
|
||||
//
|
||||
// So let's take a mental leap back a few years.
|
||||
// Around 1672 (if you want to know and read about it in detail, you can
|
||||
// do so on Wikipedia, for example), various mathematicians once again
|
||||
// discovered a method of approaching the circle number PI.
|
||||
// There were the Scottish mathematician Gregory and the German
|
||||
// mathematician Leibniz, and even a few hundred years earlier the Indian
|
||||
// mathematician Madhava. All of them independently developed the same
|
||||
// formula, which was published by Leibnitz in 1682 in the journal
|
||||
// "Acta Eruditorum".
|
||||
// This is why this method has become known as the "Leibnitz series",
|
||||
// although the other names are also often used today.
|
||||
// We will not go into the formula and its derivation in detail, but
|
||||
// will deal with the series straight away:
|
||||
//
|
||||
// 4 4 4 4 4
|
||||
// PI = --- - --- + --- - --- + --- ...
|
||||
// 1 3 5 7 9
|
||||
//
|
||||
// As you can clearly see, the series starts with the whole number 4 and
|
||||
// approaches the circle number by subtracting and adding smaller and
|
||||
// smaller parts of 4. Pretty much everyone has learned PI = 3.14 at school,
|
||||
// but very few people remember other digits, and this is rarely necessary
|
||||
// in practice. Because either you don't need the precision, or you use a
|
||||
// calculator in which the number is stored as a very precise constant.
|
||||
// But at some point this constant was calculated and we are doing the same
|
||||
// now.The question at this point is, how many partial values do we have
|
||||
// to calculate for which accuracy?
|
||||
//
|
||||
// The answer is chewing, to get 8 digits after the decimal point we need
|
||||
// 1,000,000,000 partial values. And for each additional digit we have to
|
||||
// add a zero.
|
||||
// Even fast computers - and I mean really fast computers - get a bit warmer
|
||||
// on the CPU when it comes to really many diggits. But the 8 digits are
|
||||
// enough for us for now, because we want to understand the principle and
|
||||
// nothing more, right?
|
||||
//
|
||||
// As we have already discovered, the Leibnitz series is a series with a
|
||||
// fixed distance of 2 between the individual partial values. This makes
|
||||
// it easy to apply a simple loop to it, because if we start with n = 1
|
||||
// (which is not necessarily useful now) we always have to add 2 in each
|
||||
// round.
|
||||
// But wait! The partial values are alternately added and subtracted.
|
||||
// This could also be achieved with one loop, but not very elegantly.
|
||||
// It also makes sense to split this between two CPUs, one calculates
|
||||
// the positive values and the other the negative values. And so we can
|
||||
// simply start two threads and add everything up at the end and we're
|
||||
// done.
|
||||
// We just have to remember that if only the positive or negative values
|
||||
// are calculated, the distances are twice as large, i.e. 4.
|
||||
//
|
||||
// So that the whole thing has a real learning effect, the first thread
|
||||
// call is specified and you have to make the second.
|
||||
// But don't worry, it will work out. :-)
|
||||
//
|
||||
const std = @import("std");
|
||||
|
||||
pub fn main() !void {
|
||||
const count = 1_000_000_000;
|
||||
var pi_plus: f64 = 0;
|
||||
var pi_minus: f64 = 0;
|
||||
|
||||
{
|
||||
// First thread to calculate the plus numbers.
|
||||
const handle1 = try std.Thread.spawn(.{}, thread_pi, .{ &pi_plus, 5, count });
|
||||
defer handle1.join();
|
||||
|
||||
// Second thread to calculate the minus numbers.
|
||||
???
|
||||
|
||||
}
|
||||
// Here we add up the results.
|
||||
std.debug.print("PI ≈ {d:.8}\n", .{4 + pi_plus - pi_minus});
|
||||
}
|
||||
|
||||
fn thread_pi(pi: *f64, begin: u64, end: u64) !void {
|
||||
var n: u64 = begin;
|
||||
while (n < end) : (n += 4) {
|
||||
pi.* += 4 / @as(f64, @floatFromInt(n));
|
||||
}
|
||||
}
|
||||
// If you wish, you can increase the number of loop passes, which
|
||||
// improves the number of digits.
|
||||
//
|
||||
// But be careful:
|
||||
// In order for parallel processing to really show its strengths,
|
||||
// the compiler must be given the "-O ReleaseFast" flag when it
|
||||
// is created. Otherwise the debug functions slow down the speed
|
||||
// to such an extent that seconds become minutes during execution.
|
||||
//
|
||||
// And you should remove the formatting restriction in "print",
|
||||
// otherwise you will not be able to see the additional diggits.
|
|
@ -1,5 +1,5 @@
|
|||
--- exercises/051_values.zig 2023-10-03 22:15:22.122241138 +0200
|
||||
+++ answers/051_values.zig 2023-10-05 20:04:07.072767194 +0200
|
||||
--- exercises/051_values.zig 2024-03-14 23:25:42.695020607 +0100
|
||||
+++ answers/051_values.zig 2024-03-14 23:28:34.525109174 +0100
|
||||
@@ -87,7 +87,7 @@
|
||||
// Let's assign the std.debug.print function to a const named
|
||||
// "print" so that we can use this new name later!
|
||||
|
@ -9,7 +9,7 @@
|
|||
|
||||
// Now let's look at assigning and pointing to values in Zig.
|
||||
//
|
||||
@@ -152,13 +152,13 @@
|
||||
@@ -163,13 +163,13 @@
|
||||
print("XP before:{}, ", .{glorp.experience});
|
||||
|
||||
// Fix 1 of 2 goes here:
|
||||
|
|
|
@ -1,6 +1,6 @@
|
|||
--- exercises/094_c_math.zig 2023-10-22 14:00:02.909379696 +0200
|
||||
+++ answers/094_c_math.zig 2023-10-22 14:02:46.709025235 +0200
|
||||
@@ -19,7 +19,7 @@
|
||||
--- exercises/094_c_math.zig 2024-02-28 12:50:35.789939935 +0100
|
||||
+++ answers/094_c_math.zig 2024-02-28 12:53:57.910309471 +0100
|
||||
@@ -26,7 +26,7 @@
|
||||
|
||||
const c = @cImport({
|
||||
// What do we need here?
|
||||
|
|
17
patches/patches/104_threading.patch
Normal file
17
patches/patches/104_threading.patch
Normal file
|
@ -0,0 +1,17 @@
|
|||
--- exercises/104_threading.zig 2024-03-05 09:09:04.013974229 +0100
|
||||
+++ answers/104_threading.zig 2024-03-05 09:12:03.987162883 +0100
|
||||
@@ -97,12 +97,12 @@
|
||||
defer handle.join();
|
||||
|
||||
// Second thread
|
||||
- const handle2 = try std.Thread.spawn(.{}, thread_function, .{-4}); // that can't be right?
|
||||
+ const handle2 = try std.Thread.spawn(.{}, thread_function, .{2});
|
||||
defer handle2.join();
|
||||
|
||||
// Third thread
|
||||
const handle3 = try std.Thread.spawn(.{}, thread_function, .{3});
|
||||
- defer ??? // <-- something is missing
|
||||
+ defer handle3.join();
|
||||
|
||||
// After the threads have been started,
|
||||
// they run in parallel and we can still do some work in between.
|
13
patches/patches/105_threading2.patch
Normal file
13
patches/patches/105_threading2.patch
Normal file
|
@ -0,0 +1,13 @@
|
|||
--- exercises/105_threading2.zig 2024-03-23 16:35:14.754540802 +0100
|
||||
+++ answers/105_threading2.zig 2024-03-23 16:38:00.577539733 +0100
|
||||
@@ -81,8 +81,8 @@
|
||||
defer handle1.join();
|
||||
|
||||
// Second thread to calculate the minus numbers.
|
||||
- ???
|
||||
-
|
||||
+ const handle2 = try std.Thread.spawn(.{}, thread_pi, .{ &pi_minus, 3, count });
|
||||
+ defer handle2.join();
|
||||
}
|
||||
// Here we add up the results.
|
||||
std.debug.print("PI ≈ {d:.8}\n", .{4 + pi_plus - pi_minus});
|
Loading…
Reference in a new issue