Python 3.5's PEP 448 ("Additional Unpacking Generalizations") allows the
iterable- and dictionary- unpacking operators to be used more than once;
the implementation (see https://hg.python.org/cpython/rev/a65f685ba8c0)
gets rid of the optional `starargs` and `kwargs` arguments to `ast.Call`
and `ast.ClassDef`, instead using `ast.Starred` and `ast.keyword`
objects inside of the normal `args` and `keywords` lists,
respectively. This commit allows Hy's `apply` to work correctly with
this revised AST when running under Python 3.5.
As reported in issue #748, there was a bug in which passing a lambda
as the value of a :keyword argument would fail—
$ hy --spy
hy 0.10.1 using CPython(default) 3.4.0 on Linux
=> (sorted (range 10) :key (fn [x] (- x)))
from hy.core.language import range
sorted(range(10), key=_hy_anon_fn_1)
Traceback (most recent call last):
File "<input>", line 1, in <module>
NameError: name '_hy_anon_fn_1' is not defined
The function call would appear in the generated AST without being
preceded by the appropriate function definition corresponding to the
anonymous function argument value in the Hy source, causing either a
NameError (as in the example above), or erroneous reuse of whatever
function was already pointed to by the `_hy_anon_fn_` name referenced
in the list of keywords passed to `ast.Call`.
This commit aims to fix the problem by handling it in same way that
the expression/statement gap is bridged many other places in the
compiler, by adding the compiled value of the keyword argument to the
Result object being built during `_compile_collect`, with the
understanding that any Python statements implied by the argument value
will be appropriately preserved therein.
Python 3.5 will have a new commercial-at infix operator with the magic
methods __matmul__, __rmatmul__, and __imatmul__, unused as yet in the
standard library, but intended to represent matrix multiplication in
numerical code; see PEP 465 (https://www.python.org/dev/peps/pep-0465/)
for details. This commit (developed against Python 3.5 alpha 3) brings
support for this operator to Hy when running under Python 3.5 (or,
hypothetically as yet, greater). For Hy under Python <= 3.4, attempting
to use `@` in function-call position currently results in a NameError;
this commit does not change that behavior.
This is intended to resolve#668.
`ap-pipe` is an anaphoric version of `->` and `->>`. It is useful for
specifying where the argument should go in each expression.
`ap-compose` returns a function which is the composition of several
anaphoric forms.
Using travis' container based infra which is faster & allows caching pip
and is faster, also after the environment update hy seems happy with
pypy2.5 so removing the hacks needed to pass that.
jcrocholl/pep8 (used by flake8, used in Hy's continuous integration
builds) introduced an imports-at-top-of-file check in 1.6.0 and a
line-breaks-around-binary-operators check in 1.6.2. This commit makes
nonfunctional changes to bring the Hy codebase in compliance with this
tool, fixing #764.
Previously, Hy scripts that raised a subclass of IOError would be caught
by code intended to deal with IOErrors raised when Hy couldn't import
the script itself, resulting in either a misleading "Can't open file"
error message, or a misleading TypeError traceback from not being able
to format the "Can't open file" message (for IOErrors for which the
errno attribute was None). This commit (a straightforward implementation
of the idea proposed by @slimetree in #714) introduces a new HyIOError
class, raises that when `import_file_to_hst` can't open the file path,
and catches it in the `cmdline_handler`.
This is believed to fix#513, #714, and #727.
Currently '.replace' method is used to replace hy objects. This is not
safe when we are not sure if the 'obj' in 'obj.replace(other)' is an
instance of HyObject.
In these cases, we can use function 'replace_hy_obj(obj, other)'
instead. This function will try to wrap 'obj' if it's not an instance of
HyObject.
This also means that we need a wrapping function in hy.models'. Hence I
moved the '_wrap_value' function from hy.macros into hy.models. To avoid
circular importing, the wrapper functions are provided individually by
each model type's own file.
