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Merge pull request 'Fix some typos' (#89) from typos into main
Reviewed-on: https://codeberg.org/ziglings/exercises/pulls/89
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8345e839b0
6 changed files with 20 additions and 20 deletions
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@ -30,9 +30,9 @@
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// std.debug.print("slice_ptr={*}\n", .{slice_ptr});
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// }
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// Instead of a simple integer or a constant sized slice, this
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// program requires a slice to be allocated that is the same size as
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// an input array.
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// Instead of a simple integer or a slice with a constant size,
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// this program requires allocating a slice that is the same size
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// as an input array.
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// Given a series of numbers, take the running average. In other
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// words, each item N should contain the average of the last N
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@ -1,5 +1,5 @@
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//
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// Bit manipulations is a very powerful tool just also from Zig.
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// Bit manipulation is a very powerful tool, also from Zig.
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// Since the dawn of the computer age, numerous algorithms have been
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// developed that solve tasks solely by moving, setting, or logically
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// combining bits.
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@ -8,10 +8,10 @@
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// functions where possible. And it is often possible with calculations
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// based on integers.
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//
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// Often it is not easy to understand at first glance what exactly these
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// At first glance, it is often not easy to understand what exactly these
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// algorithms do when only "numbers" in memory areas change outwardly.
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// But it must never be forgotten that the numbers only represent the
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// interpretation of the bit sequences.
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// However, it should never be forgotten that the numbers only represent
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// the interpretation of the bit sequences.
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//
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// Quasi the reversed case we have otherwise, namely that we represent
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// numbers in bit sequences.
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@ -21,7 +21,7 @@
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// Zig provides all the necessary functions to change the bits inside
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// a variable. It is distinguished whether the bit change leads to an
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// overflow or not. The details are in the Zig documentation in section
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// 10.1 "Table of Operators".
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// "Table of Operators".
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//
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// Here are some examples of how the bits of variables can be changed:
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//
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@ -1,5 +1,5 @@
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//
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// Another useful practice for bit manipulation is setting bits as flags.
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// Another useful application for bit manipulation is setting bits as flags.
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// This is especially useful when processing lists of something and storing
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// the states of the entries, e.g. a list of numbers and for each prime
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// number a flag is set.
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@ -19,9 +19,9 @@
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// For example, you could take an array of bool and set the value to 'true'
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// for each letter in the order of the alphabet (a=0; b=1; etc.) found in
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// the sentence. However, this is neither memory efficient nor particularly
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// fast. Instead we take a simpler way, very similar in principle, we define
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// a variable with at least 26 bits (e.g. u32) and also set the bit for each
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// letter found at the corresponding position.
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// fast. Instead we choose a simpler approach that is very similar in principle:
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// We define a variable with at least 26 bits (e.g. u32) and set the bit for
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// each letter that is found in the corresponding position.
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//
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// Zig provides functions for this in the standard library, but we prefer to
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// solve it without these extras, after all we want to learn something.
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@ -19,10 +19,10 @@
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// https://github.com/ziglang/zig/blob/master/lib/std/fmt.zig#L29
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//
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// Zig already has a very nice selection of formatting options.
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// These can be used in different ways, but typically to convert
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// numerical values into various text representations. The
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// results can be used for direct output to a terminal or stored
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// for later use or written to a file. The latter is useful when
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// These can be used in different ways, but generally to convert
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// numerical values into various text representations. The results
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// can be used for direct output to a terminal or stored for
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// later use or written to a file. The latter is useful when
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// large amounts of data are to be processed by other programs.
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//
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// In Ziglings, we are concerned with the output to the console.
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@ -4,8 +4,8 @@
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// one possibility, namely asynchronous processes, in Exercises 84-91.
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//
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// However, the computing power of the processor is only distributed to
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// the started tasks, which always reaches its limits when pure computing
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// power is called up.
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// the started and running tasks, which always reaches its limits when
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// pure computing power is called up.
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//
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// For example, in blockchains based on proof of work, the miners have
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// to find a nonce for a certain character string so that the first m bits
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@ -1,6 +1,6 @@
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//
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// Now that we are familiar with the principles of multi threading, we
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// boldly venture into a practical example from mathematics.
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// Now that we are familiar with the principles of multi-threading,
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// let's boldly venture into a practical example from mathematics.
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// We will determine the circle number PI with sufficient accuracy.
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//
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// There are different methods for this, and some of them are several
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