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Make MLStyle.jl & MacroTools.jl development-time only dependencies (#83)
* MLStyle is devonly * make MacroTools.@q as development-only dependency * requires Julia > 1.6
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# remove *.compiled.jl in src/ | ||
import TOML | ||
ProjName = TOML.parsefile("Project.toml")["name"] | ||
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julia_compiler = "julia" | ||
directory = "src" | ||
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for (root, dirs, files) in walkdir(directory) | ||
for file in files | ||
if endswith(file, ".log") | ||
rm(joinpath(root, file)) | ||
end | ||
if endswith(file, ".compiled.jl") | ||
rm(joinpath(root, file)) | ||
end | ||
end | ||
end | ||
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run( | ||
Cmd( | ||
`$julia_compiler --compile=min -O0 --project=. -e "using $ProjName"`; | ||
env = Dict("JULIA_DEVONLY_COMPILE" => "1") | ||
) | ||
) |
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@@ -0,0 +1,13 @@ | ||
# This file is automatically generated by DevOnly.jl | ||
import Serialization | ||
import SHA | ||
let | ||
expected_sign = b"\xe2\xd6\xd2\xd0\xca\x7c\xf8\x2b\x76\xc3\x86\x8e\x4e\x95\x26\xe1\x17\x49\x88\x43\x1a\x94\x94\x59\x6d\x3d\xbe\x6b" | ||
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| ||
sign_data = SHA.sha224(data) | ||
if sign_data != expected_sign | ||
error("The compiled data file", "E:\\Projects\\Git4\\jnumpy\\TyPython\\src\\CPython.Dev.DevOnly.compiled.jl", "is not verified. Please recompile it.") | ||
end | ||
buf = IOBuffer(data) | ||
Base.eval(@__MODULE__(), Serialization.deserialize(buf)) | ||
end |
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macro export_pymodule(name::Symbol, ex) | ||
@switch ex begin | ||
@case Expr(:block, suite...) | ||
@case _ | ||
error("@export_pymodule expects a begin-end block") | ||
end | ||
body = Expr(:block) | ||
out = Expr(:let, Expr(:block), body) | ||
sym_module = gensym("mod_$name") | ||
module_name = string(name) | ||
push!(body.args, :(local $sym_module = $CPython.G_PyBuiltin.__import__($py_cast($Py, "types")).SimpleNamespace())) | ||
for arg in suite | ||
@switch arg begin | ||
@case :($name = $value) | ||
push!(body.args, :($sym_module.$name = $py_cast($Py, $value))) | ||
@case ::LineNumberNode | ||
push!(body.args, arg) | ||
@case _ | ||
error("@export_pymodule expects a block of `name = value` statements") | ||
end | ||
end | ||
push!(body.args, :($CPython.G_PyBuiltin.__import__($py_cast($Py, "sys")).modules[$py_cast($Py, $module_name)] = $sym_module)) | ||
esc(out) | ||
end |
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""" | ||
from_ndarray(x::Py) | ||
Convert numpy ndarray to julia array, | ||
ndarray with F-contiguous could be converted to Array without copy, | ||
ndarray with C-contiguous could be converted to Transpose of Array(2D) or PermutedDimsArray of Array(high dimensions) without copy, | ||
other ndarray will first be copied to f-contiguous ndarray, then converted to Array. | ||
""" | ||
function from_ndarray(x::Py) | ||
np = get_numpy() | ||
if PyAPI.PyObject_HasAttr(x, attribute_symbol_to_pyobject(:__array_struct__)) != 1 | ||
error("from_ndarray: $x has no __array_struct__") | ||
end | ||
__array_struct__ = x.__array_struct__ | ||
ptr = C.Ptr{PyArrayInterface}(_get_capsule_ptr(__array_struct__)) | ||
info = ptr[] :: PyArrayInterface | ||
info.typekind in supported_kinds || error("unsupported numpy dtype: $(Char(ptr.typekind))") | ||
flags = info.flags | ||
if (!(checkbit(flags, NPY_ARRAY_F_CONTIGUOUS) || checkbit(flags, NPY_ARRAY_C_CONTIGUOUS)) || | ||
!checkbit(flags, TYPY_SUPPORTED_NO_COPY_NP_FLAG)) | ||
x = np.copy(x, order=py_cast(Py, "F")) | ||
__array_struct__ = x.__array_struct__ | ||
ptr = C.Ptr{PyArrayInterface}(_get_capsule_ptr(__array_struct__)) | ||
info = ptr[] :: PyArrayInterface | ||
flags = info.flags | ||
end | ||
|
||
# TODO: exception check | ||
shape = Tuple(Int(i) | ||
for i in unsafe_wrap(Array, convert(Ptr{Py_intptr_t}, info.shape), Int(info.nd); own=false)) :: ShapeType | ||
|
||
if checkbit(flags, NPY_ARRAY_C_CONTIGUOUS) && !(checkbit(flags, NPY_ARRAY_F_CONTIGUOUS)) | ||
shape = reverse(shape) | ||
end | ||
|
||
arr = @switch (Char(info.typekind), Int(info.itemsize)) begin | ||
@case ('b', 1) | ||
register_root(x, | ||
unsafe_wrap(Array, convert(Ptr{Bool}, info.data), shape; own=false)) | ||
@case ('i', 1) | ||
register_root(x, | ||
unsafe_wrap(Array, convert(Ptr{Int8}, info.data), shape; own=false)) | ||
@case ('i', 2) | ||
register_root(x, | ||
unsafe_wrap(Array, convert(Ptr{Int16}, info.data), shape; own=false)) | ||
@case ('i', 4) | ||
register_root(x, | ||
unsafe_wrap(Array, convert(Ptr{Int32}, info.data), shape; own=false)) | ||
@case ('i', 8) | ||
register_root(x, | ||
unsafe_wrap(Array, convert(Ptr{Int64}, info.data), shape; own=false)) | ||
@case ('f', 2) | ||
register_root(x, | ||
unsafe_wrap(Array, convert(Ptr{Float16}, info.data), shape; own=false)) | ||
@case ('f', 4) | ||
register_root(x, | ||
unsafe_wrap(Array, convert(Ptr{Float32}, info.data), shape; own=false)) | ||
@case ('f', 8) | ||
register_root(x, | ||
unsafe_wrap(Array, convert(Ptr{Float64}, info.data), shape; own=false)) | ||
@case ('u', 1) | ||
register_root(x, | ||
unsafe_wrap(Array, convert(Ptr{UInt8}, info.data), shape; own=false)) | ||
@case ('u', 2) | ||
register_root(x, | ||
unsafe_wrap(Array, convert(Ptr{UInt16}, info.data), shape; own=false)) | ||
@case ('u', 4) | ||
register_root(x, | ||
unsafe_wrap(Array, convert(Ptr{UInt32}, info.data), shape; own=false)) | ||
@case ('u', 8) | ||
register_root(x, | ||
unsafe_wrap(Array, convert(Ptr{UInt64}, info.data), shape; own=false)) | ||
@case ('c', 4) | ||
register_root(x, | ||
unsafe_wrap(Array, convert(Ptr{ComplexF16}, info.data), shape; own=false)) | ||
@case ('c', 8) | ||
register_root(x, | ||
unsafe_wrap(Array, convert(Ptr{ComplexF32}, info.data), shape; own=false)) | ||
@case ('c', 16) | ||
register_root(x, | ||
unsafe_wrap(Array, convert(Ptr{ComplexF64}, info.data), shape; own=false)) | ||
@case (code, nbytes) | ||
throw(error("unsupported numpy dtype: $(code) $(nbytes)")) | ||
end | ||
|
||
if checkbit(flags, NPY_ARRAY_C_CONTIGUOUS) && !(checkbit(flags, NPY_ARRAY_F_CONTIGUOUS)) | ||
if info.nd == 2 | ||
arr = transpose(arr) | ||
elseif info.nd > 2 | ||
perm = Tuple(reverse(1:info.nd)) | ||
arr = PermutedDimsArray(arr, perm) | ||
end | ||
end | ||
return arr | ||
end |
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