Updates to NR section

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Bjarne Stroustrup 2016-08-25 16:18:48 -04:00
parent 1ddd9cdb7a
commit 67191255fa

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@ -1,6 +1,6 @@
# <a name="main"></a>C++ Core Guidelines
August 24, 2016
August 25, 2016
Editors:
@ -983,17 +983,27 @@ Messy, low-level code breeds more such code.
int sz = 100;
int* p = (int*) malloc(sizeof(int) * sz);
int count = 0;
// ...
if (count == sz)
p = (int*) realloc(p, sizeof(int) * sz * 2);
// ...
for (;;) {
// ... read an int into x, exit loop if end of file is reached ...
// ... check that x is valid ...
if (count == sz)
p = (int*) realloc(p, sizeof(int) * sz * 2);
p[count++] = x;
// ...
}
This is low-level, verbose, and error-prone.
Fo example, we "forgot" to test for mememory exhaustion.
Instead, we could use `vector`:
vector<int> v(100);
v.push_back(yet_another)int);
// ...
for (int x; cin>>x; ) {
// ... check that x is valid ...
v.push_back(x);
}
##### Note
@ -1170,6 +1180,23 @@ This is one of the most effective solutions to problems related to initializatio
In a multi-threaded environment the initialization of the static object does not introduce a race condition
(unless you carelessly access a shared object from within its constructor).
Note that the initialization of a local `static` does not imply a race condition.
However, if the destruction of `X` involves an operation that needs to be synchronized we must use a less imple solution.
For example:
X& myX()
{
static auto p = new X {3};
return *p; // potential leak
}
Now someone has to `delete` that object in some suitably thread-safe way.
That's error-prone, so we don't use that technique unless
* `myX` is in multithreaded code,
* that `X` object needs to be destroyed (e.g., because it releases a resource), and
* `X`'s destructor's code needs to be synchronized.
If you, as many do, define a singleton as a class for which only one object is created, functions like `myX` are not singletons, and this useful technique is not an exception to the no-singleton rule.
##### Enforcement
@ -9135,7 +9162,7 @@ For containers, there is a tradition for using `{...}` for a list of elements an
Initialization of a variable declared using `auto` with a single value, e.g., `{v}`, had surprising results until recently:
auto x1 {7}; // x1 is an int with the value 7
auto x2 = {7}; // x2 is an initializer_list<int> with an element 7
auto x2 = {7}; // x2 is an initializer_list<int> with an element 7 (this will will change to "element 7" in C++17)
auto x11 {7, 8}; // error: two initializers
auto x22 = {7, 8}; // x2 is an initializer_list<int> with elements 7 and 8
@ -9146,6 +9173,10 @@ Use `={...}` if you really want an `initializer_list<T>`
auto fib10 = {0, 1, 2, 3, 5, 8, 13, 25, 38, 63}; // fib10 is a list
##### Note
Old habits die hard, so this rule is hard to apply consistently, especially as there are so many cases where `=` is innocent.
##### Example
template<typename T>
@ -13183,17 +13214,17 @@ Generality. Re-use. Efficiency. Encourages consistent definition of user types.
Conceptually, the following requirements are wrong because what we want of `T` is more than just the very low-level concepts of "can be incremented" or "can be added":
template<typename T, typename A>
template<typename T>
// requires Incrementable<T>
A sum1(vector<T>& v, A s)
T sum1(vector<T>& v, T s)
{
for (auto x : v) s += x;
return s;
}
template<typename T, typename A>
template<typename T>
// requires Simple_number<T>
A sum2(vector<T>& v, A s)
T sum2(vector<T>& v, T s)
{
for (auto x : v) s = s + x;
return s;
@ -13204,9 +13235,9 @@ And, in this case, missed an opportunity for a generalization.
##### Example
template<typename T, typename A>
template<typename T>
// requires Arithmetic<T>
A sum(vector<T>& v, A s)
T sum(vector<T>& v, T s)
{
for (auto x : v) s += x;
return s;
@ -15305,14 +15336,23 @@ Source file rule summary:
##### Reason
It's a longstanding convention. But consistency is more important, so if your project uses something else, follow that.
It's a longstanding convention.
But consistency is more important, so if your project uses something else, follow that.
##### Note
This convention reflects a common use pattern: Headers are more often shared with C to compile as both C++ and C, which typically uses `.h`, and it's easier to name all headers `.h` instead of having different extensions for just those headers that are intended to be shared with C. On the other hand, implementation files are rarely shared with C and so should typically be distinguished from `.c` files, so it's normally best to name all C++ implementation files something else (such as `.cpp`).
This convention reflects a common use pattern:
Headers are more often shared with C to compile as both C++ and C, which typically uses `.h`,
and it's easier to name all headers `.h` instead of having different extensions for just those headers that are intended to be shared with C.
On the other hand, implementation files are rarely shared with C and so should typically be distinguished from `.c` files,
so it's normally best to name all C++ implementation files something else (such as `.cpp`).
The specific names `.h` and `.cpp` are not required (just recommended as a default) and other names are in widespread use.
Examples are `.hh` and `.cxx`. Use such names equivalently. In this document we refer to `.h` and `.cpp` as a shorthand for header and implementation files, even though the actual extension may be different.
Examples are `.hh`, `.C`, and `.cxx`. Use such names equivalently.
In this document, we refer to `.h` and `.cpp` as a shorthand for header and implementation files,
even though the actual extension may be different.
Your IDE (if you use one) may have strong opinions about suffices.
##### Example
@ -15347,7 +15387,21 @@ Including entities subject to the one-definition rule leads to linkage errors.
##### Example
???
// file.h:
namespace Foo {
int x = 7;
int xx() { return x+x; }
}
// file1.cpp:
#include<file.h>
// ... more ...
// file2.cpp:
#include<file.h>
// ... more ...
Linking `file1.cpp` and `file2.cpp` will give two linker errors.
**Alternative formulation**: A `.h` file must contain only:
@ -15798,7 +15852,8 @@ A library can be statically or dynamically linked into a program, or it may be `
##### Note
A library can contain cyclic references in the definition of its components. For example:
A library can contain cyclic references in the definition of its components.
For example:
???
@ -15808,33 +15863,264 @@ However, a library should not depend on another that depends on it.
# <a name="S-not"></a>NR: Non-Rules and myths
This section contains rules and guidelines that are popular somewhere, but that we deliberately don't recommend.
In the context of the styles of programming we recommend and support with the guidelines, these "non-rules" would do harm.
We know full well that there have been times and places where these rules made sense, and we have used them ourselves at times.
However, in the context of the styles of programming we recommend and support with the guidelines, these "non-rules" would do harm.
Even today, there can be contexts where the rules make sense.
For example, lack of suitable tool support can make exceptions unsuitable in hard-real-time systems,
but please don't blindly trust "common wisdom" (e.g., unsupported statements about "efficiency");
such "wisdom" may be based on decades-old information or experienced from languages with very different properties than C++
(e.g., C or Java).
The positive arguments for alternatives to these non-rules are listed in the rules offered as "Alternatives".
Non-rule summary:
* [NR.1: All declarations should be at the top of a function](#Rnr-top)
* single-return rule
* no exceptions
* one class per source file
* two-phase initialization
* goto exit
* make all data members `protected`
* [NR.1: Don't: All declarations should be at the top of a function](#Rnr-top)
* [NR.2: Don't: Have only a single single `return`-statement in a function](#Rnr-single-return)
* [NR.3: Don't: Don't use exceptions](#Rnr-no-exceptions)
* [NR.4: Don't: Place each class declaration in its own source file](#Rnr-lots-of-files)
* [NR.5: Don't: Don't do substantive work in a constructor; instead use two-phase initialization](#Rnr-two-phase-init)
* [NR.6: Don't: Place all cleanup actions at the end of a fucntion and `goto exit`](#Rnr-goto-exit)
* [NR.7: Don't: Make all data members `protected`](#Rnr-protected-data)
* ???
### <a name="Rnr-top"></a>NR.1: All declarations should be at the top of a function
### <a name="Rnr-top"></a>NR.1: Don't: All declarations should be at the top of a function
##### Reason
##### Reason (not to follow this rule)
This rule is a legacy of old programming languages that didn't allow initialization of variables and constants after a statement.
This leads to longer programs and more errors caused by uninitialized and wrongly initialized variables.
##### Alternative
##### Example, bad
Instead:
???
The larger the distance between the uninitialized variable and its use, the larger the chance of a bug.
Fortunately, compilers catch many "used before set" errors.
##### Alternative
* [Always initialize an object](#Res-always)
* [ES.21: Don't introduce a variable (or constant) before you need to use it](#Res-introduce)
### <a name="Rnr-single-return"></a>NR.2: Don't: Have only a single single `return`-statement in a function
##### Reason (not to follow this rule)
The single-return rule can lead to unnecessarily convoluted code and the introduction of extra state variables.
In particular, the single-return rule makes it harder to concentrate error checking at the top of a function.
##### Example
template<class T>
// requires Number<T>
string sign(T x)
{
if (x<0)
return "negative";
else if (x>0)
return "positive";
return "zero";
}
to use a single return only we would have to do something like
template<class T>
// requires Number<T>
string sign(T x) // bad
{
string res;
if (x<0)
res = "negative";
else if (x>0)
res = "positive";
else
res ="zero";
return res;
}
This is both longer and likely to be less efficient.
The larger and more compliciated the function is, the more painful the workarounds get.
Of course many simple functions will natually have just one `return` because of their simpler inherent logic.
##### Example
int index(const char* p)
{
if (p==nullptr) return -1; // error indicator: alternatively `throw nullptr_error{}`
// ... do a lookup to find the index for p
return i;
}
If we applied the rule, we'd get something like
int index2(const char* p)
{
int i;
if (p==nullptr)
i = -1; // error indicator
else {
// ... do a lookup to find the index for p
}
return i;
}
Note that we (deliberately) violated the rule against uninitialized variables because this style commonly leads to that.
Also, this style is a temptation to use the [goto exit](#Rnr-goto-exit) non-rule.
##### Alternative
* Keep functions short and simple
* Feel free to use multiple `return` statements (and to throw exceptions).
### <a name="Rnr-no-exceptions"></a>NR.3: Don't: Don't use exceptions
##### Reason (not to follow this rule)
There seem to be three main reasons given for this non-rule:
* exceptions are inefficient
* exceptions lead to leaks and errors
* exception performance is not predictable
There is no way we can settle this issue to the satisfaction of everybody.
After all, the discussions about exceptions have been going on for 40+ years.
Some languages cannot be used without exceptions, but others do not support them.
This leads to strong traditions for the use and non-use of exceptions, and to heated debates.
However, we can briefly outline why we consider exceptions the best alternative for general-purpose programming
and in the context of these guidelines.
Simple arguments for and against are often inconclusive.
There are specialized applications where exceptions indeed can be inappropriate
(e.g., hard-real time systems without support for reliable estimates of the cost of handling an exception).
Consider the major objections to exceptions in turn
* Exceptions are inefficient:
Compared to what?
When comparing make sure that the same set of errors are handled and that they are handled equivalently.
In particular, do not compare a program that immediately terminate on seeing an error with a program
that carefully cleans up resources before loging an error.
Yes, some systems have poor exception handling implementations; sometimes, such implementations force us to use
other error-handling approaches, but that's not a fundamental problem with exceptions.
When using an efficiency argument - in any context - be careful that you have good data that actually provides
insight into the problem under discussion.
* Exceptions lead to leaks and errors.
They do not.
If your program is a rat's nest of pointers without an overall strategy for resource management,
you have a problem whatever you do.
If your system consists of a million lines of such code,
you probably will not be able to use exceptions,
but that's a problem with excessive and undisciplined pointer use, rather than with exceptions.
In our opinion, you need RAII to make exception-based error handling simple and safe -- simpler and safer than alternatives.
* Exception performance is not predictable
If you are in a hard-real-time system where you must guarantee completion of a task in a given time,
you need tools to back up such guarantees.
As far as we know such tools are not available (at least not to most programmers).
Many, possibly most, problems with exceptions stem from historical needs to interact with messy old code.
The fundamental arguments for the use of exceptions are
* They clearly separates error return from ordinary return
* They cannot be forgotten or ignored
* They can be used systematically
Remember
* Exceptions are for reporting errors (in C++; other languages can have different uses for exceptions).
* Exceptions are not for errors that can be handled locally.
* Don't try to catch every exception in every function (that's tedious, clumsy, and leads to slow code).
* Exceptions are not for errors that require instant termination of a module/system after a non-recoverable error.
##### Example
???
##### Alternative
* [RAII](#Re-raii)
* Contracts/assertions: Use GSL's `Expects` and `Ensures` (until we get language support for contracts)
### <a name="Rnr-lots-of-files"></a>NR.4: Don't: Place each class declaration in its own source file
##### Reason (not to follow this rule)
The resulting number of files are hard to manage and can slow down compilation.
Individual classes are rarely a good logical unit of maintenance and distribution.
##### Example
???
##### Alternative
* Use namespaces containing logically cohesive sets of classes and functions.
### <a name="Rnr-two-phase-init"></a>NR.5: Don't: Don't do substantive work in a constructor; instead use two-phase initialization
##### Reason (not to follow this rule)
Folloing this rule leads to weaker invariants,
more complicated code (having to deal with semi-constructed objects),
and errors (when we didn't deal correctly with semi-constructed objects consistently).
##### Example
???
##### Alternative
* Always establish a class invariant in a constructor.
* Don't define an object before it is needed.
### <a name="Rnr-goto-exit"></a>NR.6: Don't: Place all cleanup actions at the end of a fucntion and `goto exit`
##### Reason (not to follow this rule)
`goto` is error-prone.
This technique is a pre-exception technique for RAII-like resource and error handling.
##### Example, bad
void do_something(int n)
{
if (n<100) goto exit;
// ...
int* p = (int*)malloc(n);
// ...
if (some_ error) goto_exit;
// ...
exit:
free(p);
}
and spot the bug.
##### Alternative
* Use exceptions and [RAII](#Re-raii)
* for non-RAII resources, use [`finally`](#Re-finally).
### <a name="Rnr-protected-data"></a>NR.7: Don't: Make all data members `protected`
##### Reason (not to follow this rule)
`protected` data is a source of errors.
`protected` data can be manipulated from an unbounded amount of code in various places.
`protected` data is the class hierarchy equivalent to global data.
##### Example
???
##### Alternative
* [M]ake member data `public` or (preferably) `private`](#Rh-protected)
# <a name="S-references"></a>RF: References
Many coding standards, rules, and guidelines have been written for C++, and especially for specialized uses of C++.