tests/objects/tobjconstr.nim


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discard """
  output: '''
(k: kindA, a: (x: "abc", z: @[1, 1, 3]), method: ())
(k: kindA, a: (x: "abc", z: @[1, 2, 3]), method: ())
(k: kindA, a: (x: "abc", z: @[1, 3, 3]), method: ())
(k: kindA, a: (x: "abc", z: @[1, 4, 3]), method: ())
(k: kindA, a: (x: "abc", z: @[1, 5, 3]), method: ())
(k: kindA, a: (x: "abc", z: @[1, 6, 3]), method: ())
(k: kindA, a: (x: "abc", z: @[1, 7, 3]), method: ())
(k: kindA, a: (x: "abc", z: @[1, 8, 3]), method: ())
(k: kindA, a: (x: "abc", z: @[1, 9, 3]), method: ())
(k: kindA, a: (x: "abc", z: @[1, 10, 3]), method: ())
(y: 0, x: 123)
(y: 678, x: 123)
(z: 89, y: 0, x: 128)
(y: 678, x: 123)
(y: 678, x: 123)
(y: 0, x: 123)
(y: 678, x: 123)
(y: 123, x: 678)
'''
"""

type
  TArg = object
    x: string
    z: seq[int]
  TKind = enum kindXY, kindA
  TEmpty = object
  TDummy = ref object
    case k: TKind
    of kindXY: x, y: int
    of kindA:
      a: TArg
      `method`: TEmpty # bug #1791

proc main() =
  for i in 1..10:
    let d = TDummy(k: kindA, a: TArg(x: "abc", z: @[1,i,3]), `method`: TEmpty())
    echo d[]

main()

# bug #6294
type
  A = object of RootObj
    x*: int
  B = object of A
    y*: int
  BS = object of B
  C = object of BS
    z*: int
# inherited fields are ignored, so no fields are set
when true:
  var
    o: B
  o = B(x: 123)
  echo o
  o = B(y: 678, x: 123)
  echo o

# inherited fields are ignored
echo C(x: 128, z: 89)          # (y: 0, x: 0)
echo B(y: 678, x: 123)  # (y: 678, x: 0)
echo B(x: 123, y: 678)  # (y: 678, x: 0)

when true:
  # correct, both with `var` and `let`;
  var b=B(x: 123)
  echo b                  # (y: 0, x: 123)
  b=B(y: 678, x: 123)
  echo b                  # (y: 678, x: 123)
  b=B(y: b.x, x: b.y)
  echo b                  # (y: 123, x: 678)

GC_fullCollect()
=========================================
    Internals of the Nim Compiler
=========================================


:Author: Andreas Rumpf
:Version: |nimversion|

.. default-role:: code
.. include:: rstcommon.rst
.. contents::

> "Abstraction is layering ignorance on top of reality." -- Richard Gabriel


Directory structure
===================

The Nim project's directory structure is:

============   ===================================================
Path           Purpose
============   ===================================================
`bin`          generated binary files
`build`        generated C code for the installation
`compiler`     the Nim compiler itself; note that this
               code has been translated from a bootstrapping
               version written in Pascal, so the code is **not**
               a poster child of good Nim code
`config`       configuration files for Nim
`dist`         additional packages for the distribution
`doc`          the documentation; it is a bunch of
               reStructuredText files
`lib`          the Nim library
============   ===================================================


Bootstrapping the compiler
==========================

**Note**: Add ``.`` to your PATH so that `koch`:cmd: can be used without the ``./``.

Compiling the compiler is a simple matter of running:

  ```cmd
  nim c koch.nim
  koch boot -d:release
  ```

For a debug version use:

  ```cmd
  nim c koch.nim
  koch boot
  ```


And for a debug version compatible with GDB:

  ```cmd
  nim c koch.nim
  koch boot --debuginfo --linedir:on
  ```

The `koch`:cmd: program is Nim's maintenance script. It is a replacement for
make and shell scripting with the advantage that it is much more portable.
More information about its options can be found in the [koch](koch.html)
documentation.


Reproducible builds
-------------------

Set the compilation timestamp with the `SOURCE_DATE_EPOCH` environment variable.

  ```cmd
  export SOURCE_DATE_EPOCH=$(git log -n 1 --format=%at)
  koch boot # or `./build_all.sh`
  ```


Debugging the compiler
======================


Bisecting for regressions
-------------------------

There are often times when there is a bug that is caused by a regression in the
compiler or stdlib. Bisecting the Nim repo commits is a useful tool to identify
what commit introduced the regression.

Even if it's not known whether a bug is caused by a regression, bisection can reduce
debugging time by ruling it out. If the bug is found to be a regression, then you
focus on the changes introduced by that one specific commit.

`koch temp`:cmd: returns 125 as the exit code in case the compiler
compilation fails. This exit code tells `git bisect`:cmd: to skip the
current commit:

  ```cmd
  git bisect start bad-commit good-commit
  git bisect run ./koch temp -r c test-source.nim
  ```

You can also bisect using custom options to build the compiler, for example if
you don't need a debug version of the compiler (which runs slower), you can replace
`./koch temp`:cmd: by explicit compilation command, see [Bootstrapping the compiler].


Building an instrumented compiler
---------------------------------

Considering that a useful method of debugging the compiler is inserting debug
logging, or changing code and then observing the outcome of a testcase, it is
fastest to build a compiler that is instrumented for debugging from an
existing release build. `koch temp`:cmd: provides a convenient method of doing
just that.

By default, running `koch temp`:cmd: will build a lean version of the compiler
with `-d:debug`:option: enabled. The compiler is written to `bin/nim_temp` by
default. A lean version of the compiler lacks JS and documentation generation.

`bin/nim_temp` can be directly used to run testcases, or used with testament
with `testament --nim:bin/nim_temp r tests/category/tsometest`:cmd:.

`koch temp`:cmd: will build the temporary compiler with the `-d:debug`:option:
enabled. Here are compiler options that are of interest when debugging:

* `-d:debug`:option:\: enables `assert` statements and stacktraces and all
  runtime checks
* `--opt:speed`:option:\: build with optimizations enabled
* `--debugger:native`:option:\: enables `--debuginfo --lineDir:on`:option: for using
  a native debugger like GDB, LLDB or CDB
* `-d:nimDebug`:option: cause calls to `quit` to raise an assertion exception
* `-d:nimDebugUtils`:option:\: enables various debugging utilities;
  see `compiler/debugutils`
* `-d:stacktraceMsgs -d:nimCompilerStacktraceHints`:option:\: adds some additional
  stacktrace hints; see https://github.com/nim-lang/Nim/pull/13351
* `-u:leanCompiler`:option:\: enable JS and doc generation

Another method to build and run the compiler is directly through `koch`:cmd:\:

  ```cmd
  koch temp [options] c test.nim

  # (will build with js support)
  koch temp [options] js test.nim

  # (will build with doc support)
  koch temp [options] doc test.nim
  ```

Debug logging
-------------

"Printf debugging" is still the most appropriate way to debug many problems
arising in compiler development. The typical usage of breakpoints to debug
the code is often less practical, because almost all code paths in the
compiler will be executed hundreds of times before a particular section of the
tested program is reached where the newly developed code must be activated.

To work around this problem, you'll typically introduce an if statement in the
compiler code detecting more precisely the conditions where the tested feature
is being used. One very common way to achieve this is to use the `mdbg` condition,
which will be true only in contexts, processing expressions and statements from
the currently compiled main module:

  ```nim
  # inside some compiler module
  if mdbg:
    debug someAstNode
  ```

Using the `isCompilerDebug`:nim: condition along with inserting some statements
into the testcase provides more granular logging:

  ```nim
  # compilermodule.nim
  if isCompilerDebug():
    debug someAstNode

  # testcase.nim
  proc main =
    {.define(nimCompilerDebug).}
    let a = 2.5 * 3
    {.undef(nimCompilerDebug).}
  ```

Logging can also be scoped to a specific filename as well. This will of course
match against every module with that name.

  ```nim
  if `??`(conf, n.info, "module.nim"):
    debug(n)
  ```

The above examples also makes use of the `debug`:nim: proc, which is able to
print a human-readable form of an arbitrary AST tree. Other common ways to print
information about the internal compiler types include:

  ```nim
  # pretty print PNode

  # pretty prints the Nim ast
  echo renderTree(someNode)

  # pretty prints the Nim ast, but annotates symbol IDs
  echo renderTree(someNode, {renderIds})

  # pretty print ast as JSON
  debug(someNode)

  # print as YAML
  echo treeToYaml(config, someNode)


  # pretty print PType

  # print type name
  echo typeToString(someType)

  # pretty print as JSON
  debug(someType)

  # print as YAML
  echo typeToYaml(config, someType)


  # pretty print PSym

  # print the symbol's name
  echo symbol.name.s

  # pretty print as JSON
  debug(symbol)

  # print as YAML
  echo symToYaml(config, symbol)


  # pretty print TLineInfo
  lineInfoToStr(lineInfo)


  # print the structure of any type
  repr(someVar)
  ```

Here are some other helpful utilities:

  ```nim
  # how did execution reach this location?
  writeStackTrace()
  ```

These procs may not already be imported by the module you're editing.
You can import them directly for debugging:

  ```nim
  from astalgo import debug
  from types import typeToString
  from renderer import renderTree
  from msgs import `??`
  ```

Native debugging
----------------

Stepping through the compiler with a native debugger is a very powerful tool to
both learn and debug it. However, there is still the need to constrain when
breakpoints are triggered. The same methods as in [Debug logging] can be applied
here when combined with calls to the debug helpers `enteringDebugSection()`:nim:
and `exitingDebugSection()`:nim:.

#. Compile the temp compiler with `--debugger:native -d:nimDebugUtils`:option:
#. Set your desired breakpoints or watchpoints.
#. Configure your debugger:
   * GDB: execute `source tools/compiler.gdb` at startup
   * LLDB execute `command source tools/compiler.lldb` at startup
#. Use one of the scoping helpers like so:

  ```nim
  if isCompilerDebug():
    enteringDebugSection()
  else:
    exitingDebugSection()
  ```

A caveat of this method is that all breakpoints and watchpoints are enabled or
disabled. Also, due to a bug, only breakpoints can be constrained for LLDB.

The compiler's architecture
===========================

Nim uses the classic compiler architecture: A lexer/scanner feeds tokens to a
parser. The parser builds a syntax tree that is used by the code generators.
This syntax tree is the interface between the parser and the code generator.
It is essential to understand most of the compiler's code.

Semantic analysis is separated from parsing.

.. include:: filelist.txt


The syntax tree
---------------
The syntax tree consists of nodes which may have an arbitrary number of
children. Types and symbols are represented by other nodes, because they
may contain cycles. The AST changes its shape after semantic checking. This
is needed to make life easier for the code generators. See the "ast" module
for the type definitions. The [macros](macros.html) module contains many
examples how the AST represents each syntactic structure.


Runtimes
========

Nim has two different runtimes, the "old runtime" and the "new runtime". The old
runtime supports the old GCs (markAndSweep, refc, Boehm), the new runtime supports
ARC/ORC. The new runtime is active `when defined(nimV2)`.


Coding Guidelines
=================

* We follow Nim's official style guide, see [NEP1](nep1.html).
* Max line length is 100 characters.
* Provide spaces around binary operators if that enhances readability.
* Use a space after a colon, but not before it.
* (deprecated) Start types with a capital `T`, unless they are
  pointers/references which start with `P`.
* Prefer `import package`:nim: over `from package import symbol`:nim:.

See also the [API naming design](apis.html) document.


Porting to new platforms
========================

Porting Nim to a new architecture is pretty easy, since C is the most
portable programming language (within certain limits) and Nim generates
C code, porting the code generator is not necessary.

POSIX-compliant systems on conventional hardware are usually pretty easy to
port: Add the platform to `platform` (if it is not already listed there),
check that the OS, System modules work and recompile Nim.

The only case where things aren't as easy is when old runtime's garbage
collectors need some assembler tweaking to work. The default
implementation uses C's `setjmp`:c: function to store all registers
on the hardware stack. It may be necessary that the new platform needs to
replace this generic code by some assembler code.

Files that may need changed for your platform include:

* `compiler/platform.nim`
  Add os/cpu properties.
* `lib/system.nim`
  Add os/cpu to the documentation for `system.hostOS` and `system.hostCPU`.
* `compiler/options.nim`
  Add special os/cpu property checks in `isDefined`.
* `compiler/installer.ini`
  Add os/cpu to `Project.Platforms` field.
* `lib/system/platforms.nim`
  Add os/cpu.
* `lib/pure/include/osseps.nim`
  Add os specializations.
* `lib/pure/distros.nim`
  Add os, package handler.
* `tools/niminst/makefile.nimf`
  Add os/cpu compiler/linker flags.
* `tools/niminst/buildsh.nimf`
  Add os/cpu compiler/linker flags.

If the `--os` or `--cpu` options aren't passed to the compiler, then Nim will
determine the current host os, cpu and endianness from `system.cpuEndian`,
`system.hostOS` and `system.hostCPU`. Those values are derived from
`compiler/platform.nim`.

In order for the new platform to be bootstrapped from the `csources`, it must:

* have `compiler/platform.nim` updated
* have `compiler/installer.ini` updated
* have `tools/niminst/buildsh.nimf` updated
* have `tools/niminst/makefile.nimf` updated
* be backported to the Nim version used by the `csources`
* the new `csources` must be pushed
* the new `csources` revision must be updated in `config/build_config.txt`


Runtime type information
========================

**Note**: This section describes the "old runtime".

*Runtime type information* (RTTI) is needed for several aspects of the Nim
programming language:

Garbage collection
: The old GCs use the RTTI for traversing arbitrary Nim types, but usually
  only the `marker` field which contains a proc that does the traversal.

Complex assignments
: Sequences and strings are implemented as
  pointers to resizable buffers, but Nim requires copying for
  assignments. Apart from RTTI the compiler also generates copy procedures
  as a specialization.

We already know the type information as a graph in the compiler.
Thus, we need to serialize this graph as RTTI for C code generation.
Look at the file ``lib/system/hti.nim`` for more information.


Magics and compilerProcs
========================

The `system` module contains the part of the RTL which needs support by
compiler magic. The C code generator generates the C code for it, just like any other
module. However, calls to some procedures like `addInt` are inserted by
the generator. Therefore, there is a table (`compilerprocs`)
with all symbols that are marked as `compilerproc`. `compilerprocs` are
needed by the code generator. A `magic` proc is not the same as a
`compilerproc`: A `magic` is a proc that needs compiler magic for its
semantic checking, a `compilerproc` is a proc that is used by the code
generator.


Code generation for closures
============================

Code generation for closures is implemented by `lambda lifting`:idx:.


Design
------

A `closure` proc var can call ordinary procs of the default Nim calling
convention. But not the other way round! A closure is implemented as a
`tuple[prc, env]`. `env` can be nil implying a call without a closure.
This means that a call through a closure generates an `if` but the
interoperability is worth the cost of the `if`. Thunk generation would be
possible too, but it's slightly more effort to implement.

Tests with GCC on Amd64 showed that it's really beneficial if the
'environment' pointer is passed as the last argument, not as the first argument.

Proper thunk generation is harder because the proc that is to wrap
could stem from a complex expression:

  ```nim
  receivesClosure(returnsDefaultCC[i])
  ```

A thunk would need to call `returnsDefaultCC[i]` somehow and that would require
an *additional* closure generation... Ok, not really, but it requires to pass
the function to call. So we'd end up with 2 indirect calls instead of one.
Another much more severe problem with this solution is that it's not GC-safe
to pass a proc pointer around via a generic `ref` type.


Example code:

  ```nim
  proc add(x: int): proc (y: int): int {.closure.} =
    return proc (y: int): int =
      return x + y

  var add2 = add(2)
  echo add2(5) #OUT 7
  ```

This should produce roughly this code:

  ```nim
  type
    Env = ref object
      x: int # data

  proc anon(y: int, c: Env): int =
    return y + c.x

  proc add(x: int): tuple[prc, data] =
    var env: Env
    new env
    env.x = x
    result = (anon, env)

  var add2 = add(2)
  let tmp = if add2.data == nil: add2.prc(5) else: add2.prc(5, add2.data)
  echo tmp
  ```


Beware of nesting:

  ```nim
  proc add(x: int): proc (y: int): proc (z: int): int {.closure.} {.closure.} =
    return lambda (y: int): proc (z: int): int {.closure.} =
      return lambda (z: int): int =
        return x + y + z

  var add24 = add(2)(4)
  echo add24(5) #OUT 11
  ```

This should produce roughly this code:

  ```nim
  type
    EnvX = ref object
      x: int # data

    EnvY = ref object
      y: int
      ex: EnvX

  proc lambdaZ(z: int, ey: EnvY): int =
    return ey.ex.x + ey.y + z

  proc lambdaY(y: int, ex: EnvX): tuple[prc, data: EnvY] =
    var ey: EnvY
    new ey
    ey.y = y
    ey.ex = ex
    result = (lambdaZ, ey)

  proc add(x: int): tuple[prc, data: EnvX] =
    var ex: EnvX
    ex.x = x
    result = (lambdaY, ex)

  var tmp = add(2)
  var tmp2 = tmp.fn(4, tmp.data)
  var add24 = tmp2.fn(4, tmp2.data)
  echo add24(5)
  ```


We could get rid of nesting environments by always inlining inner anon procs.
More useful is escape analysis and stack allocation of the environment,
however.


Accumulator
-----------

  ```nim
  proc getAccumulator(start: int): proc (): int {.closure} =
    var i = start
    return lambda: int =
      inc i
      return i

  proc p =
    var delta = 7
    proc accumulator(start: int): proc(): int =
      var x = start-1
      result = proc (): int =
        x = x + delta
        inc delta
        return x

    var a = accumulator(3)
    var b = accumulator(4)
    echo a() + b()
  ```


Internals
---------

Lambda lifting is implemented as part of the `transf` pass. The `transf`
pass generates code to set up the environment and to pass it around. However,
this pass does not change the types! So we have some kind of mismatch here; on
the one hand the proc expression becomes an explicit tuple, on the other hand
the tyProc(ccClosure) type is not changed. For C code generation it's also
important the hidden formal param is `void*`:c: and not something more
specialized. However, the more specialized env type needs to passed to the
backend somehow. We deal with this by modifying `s.ast[paramPos]` to contain
the formal hidden parameter, but not `s.typ`!


Notes on type and AST representation
====================================

To be expanded.


Integer literals
----------------

In Nim, there is a redundant way to specify the type of an
integer literal. First, it should be unsurprising that every
node has a node kind. The node of an integer literal can be any of the
following values::

    nkIntLit, nkInt8Lit, nkInt16Lit, nkInt32Lit, nkInt64Lit,
    nkUIntLit, nkUInt8Lit, nkUInt16Lit, nkUInt32Lit, nkUInt64Lit

On top of that, there is also the `typ` field for the type. The
kind of the `typ` field can be one of the following ones, and it
should be matching the literal kind::

    tyInt, tyInt8, tyInt16, tyInt32, tyInt64, tyUInt, tyUInt8,
    tyUInt16, tyUInt32, tyUInt64

Then there is also the integer literal type. This is a specific type
that is implicitly convertible into the requested type if the
requested type can hold the value. For this to work, the type needs to
know the concrete value of the literal. For example an expression
`321` will be of type `int literal(321)`. This type is implicitly
convertible to all integer types and ranges that contain the value
`321`. That would be all builtin integer types except `uint8` and
`int8` where `321` would be out of range. When this literal type is
assigned to a new `var` or `let` variable, it's type will be resolved
to just `int`, not `int literal(321)` unlike constants. A constant
keeps the full `int literal(321)` type. Here is an example where that
difference matters.


  ```nim
  proc foo(arg: int8) =
    echo "def"

  const tmp1 = 123
  foo(tmp1)  # OK

  let tmp2 = 123
  foo(tmp2) # Error
  ```

In a context with multiple overloads, the integer literal kind will
always prefer the `int` type over all other types. If none of the
overloads is of type `int`, then there will be an error because of
ambiguity.

  ```nim
  proc foo(arg: int) =
    echo "abc"
  proc foo(arg: int8) =
    echo "def"
  foo(123) # output: abc

  proc bar(arg: int16) =
    echo "abc"
  proc bar(arg: int8) =
    echo "def"

  bar(123) # Error ambiguous call
  ```

In the compiler these integer literal types are represented with the
node kind `nkIntLit`, type kind `tyInt` and the member `n` of the type
pointing back to the integer literal node in the ast containing the
integer value. These are the properties that hold true for integer
literal types.

::
    n.kind == nkIntLit
    n.typ.kind == tyInt
    n.typ.n == n

Other literal types, such as `uint literal(123)` that would
automatically convert to other integer types, but prefers to
become a `uint` are not part of the Nim language.

In an unchecked AST, the `typ` field is nil. The type checker will set
the `typ` field accordingly to the node kind. Nodes of kind `nkIntLit`
will get the integer literal type (e.g. `int literal(123)`). Nodes of
kind `nkUIntLit` will get type `uint` (kind `tyUint`), etc.

This also means that it is not possible to write a literal in an
unchecked AST that will after sem checking just be of type `int` and
not implicitly convertible to other integer types. This only works for
all integer types that are not `int`.