lpython/src/runtime/lpython/lpython.py at main · archiv-nptel/lpython · GitHub

History

772 lines (663 loc) · 24.6 KB

Raw

100

101

102

103

104

105

106

107

108

109

110

111

112

113

114

115

116

117

118

119

120

121

122

123

124

125

126

127

128

129

130

131

132

133

134

135

136

137

138

139

140

141

142

143

144

145

146

147

148

149

150

151

152

153

154

155

156

157

158

159

160

161

162

163

164

165

166

167

168

169

170

171

172

173

174

175

176

177

178

179

180

181

182

183

184

185

186

187

188

189

190

191

192

193

194

195

196

197

198

199

200

201

202

203

204

205

206

207

208

209

210

211

212

213

214

215

216

217

218

219

220

221

222

223

224

225

226

227

228

229

230

231

232

233

234

235

236

237

238

239

240

241

242

243

244

245

246

247

248

249

250

251

252

253

254

255

256

257

258

259

260

261

262

263

264

265

266

267

268

269

270

271

272

273

274

275

276

277

278

279

280

281

282

283

284

285

286

287

288

289

290

291

292

293

294

295

296

297

298

299

300

301

302

303

304

305

306

307

308

309

310

311

312

313

314

315

316

317

318

319

320

321

322

323

324

325

326

327

328

329

330

331

332

333

334

335

336

337

338

339

340

341

342

343

344

345

346

347

348

349

350

351

352

353

354

355

356

357

358

359

360

361

362

363

364

365

366

367

368

369

370

371

372

373

374

375

376

377

378

379

380

381

382

383

384

385

386

387

388

389

390

391

392

393

394

395

396

397

398

399

400

401

402

403

404

405

406

407

408

409

410

411

412

413

414

415

416

417

418

419

420

421

422

423

424

425

426

427

428

429

430

431

432

433

434

435

436

437

438

439

440

441

442

443

444

445

446

447

448

449

450

451

452

453

454

455

456

457

458

459

460

461

462

463

464

465

466

467

468

469

470

471

472

473

474

475

476

477

478

479

480

481

482

483

484

485

486

487

488

489

490

491

492

493

494

495

496

497

498

499

500

501

502

503

504

505

506

507

508

509

510

511

512

513

514

515

516

517

518

519

520

521

522

523

524

525

526

527

528

529

530

531

532

533

534

535

536

537

538

539

540

541

542

543

544

545

546

547

548

549

550

551

552

553

554

555

556

557

558

559

560

561

562

563

564

565

566

567

568

569

570

571

572

573

574

575

576

577

578

579

580

581

582

583

584

585

586

587

588

589

590

591

592

593

594

595

596

597

598

599

600

601

602

603

604

605

606

607

608

609

610

611

612

613

614

615

616

617

618

619

620

621

622

623

624

625

626

627

628

629

630

631

632

633

634

635

636

637

638

639

640

641

642

643

644

645

646

647

648

649

650

651

652

653

654

655

656

657

658

659

660

661

662

663

664

665

666

667

668

669

670

671

672

673

674

675

676

677

678

679

680

681

682

683

684

685

686

687

688

689

690

691

692

693

694

695

696

697

698

699

700

701

702

703

704

705

706

707

708

709

710

711

712

713

714

715

716

717

718

719

720

721

722

723

724

725

726

727

728

729

730

731

732

733

734

735

736

737

738

739

740

741

742

743

744

745

746

747

748

749

750

751

752

753

754

755

756

757

758

759

760

761

762

763

764

765

766

767

768

769

770

771

772

from inspect import getfullargspec, getcallargs, isclass, getsource

import os

import ctypes

import platform

from dataclasses import dataclass, field, is_dataclass as py_is_dataclass

import functools

# TODO: this does not seem to restrict other imports

__slots__ = ["i8", "i16", "i32", "i64", "u8", "u16", "u32", "u64", "f32", "f64", "c32", "c64", "CPtr",

"overload", "ccall", "TypeVar", "pointer", "c_p_pointer", "Pointer",

"p_c_pointer", "vectorize", "inline", "Union", "static",

"packed", "Const", "sizeof", "ccallable", "ccallback", "Callable",

"Allocatable", "In", "Out", "InOut", "dataclass", "field", "S"]

# data-types

def get_sympy_S(x):

from sympy import S

return S(x)

type_to_convert_func = {

"i1": bool,

"i8": int,

"i16": int,

"i32": int,

"i64": int,

"u8": int,

"u16": int,

"u32": int,

"u64": int,

"f32": float,

"f64": float,

"c32": complex,

"c64": complex,

"c_ptr": lambda x: x,

"Const": lambda x: x,

"Callable": lambda x: x,

"Allocatable": lambda x: x,

"Pointer": lambda x: x,

"S": get_sympy_S,

}

class Type:

def __init__(self, name):

self._name = name

self._convert = type_to_convert_func[name]

def __getitem__(self, params):

return Array(self, params)

def __call__(self, arg):

return self._convert(arg)

def is_ctypes_Structure(obj):

return (isclass(obj) and issubclass(obj, ctypes.Structure))

def is_dataclass(obj):

return ((isclass(obj) and issubclass(obj, ctypes.Structure)) or

py_is_dataclass(obj))

class PointerType(Type):

def __getitem__(self, type):

if is_dataclass(type):

return convert_to_ctypes_Structure(type)

return type

class ConstType(Type):

def __getitem__(self, type):

return type

class Array:

def __init__(self, type, dims):

self._type = type

self._dims = dims

def __class_getitem__(self, params):

return Array(params[0], params[1:])

i1 = Type("i1")

i8 = Type("i8")

i16 = Type("i16")

i32 = Type("i32")

i64 = Type("i64")

u8 = Type("u8")

u16 = Type("u16")

u32 = Type("u32")

u64 = Type("u64")

f32 = Type("f32")

f64 = Type("f64")

c32 = Type("c32")

c64 = Type("c64")

CPtr = Type("c_ptr")

Const = ConstType("Const")

Callable = Type("Callable")

Allocatable = Type("Allocatable")

Pointer = PointerType("Pointer")

S = Type("S")

class Union:

def __init__(self):

pass

def __setattr__(self, name: str, value):

self.__dict__[name] = value

def __getattr__(self, name: str):

return self.__dict__[name]

class Intent:

def __init__(self, type):

self._type = type

def __getitem__(self, params):

return params

In = Intent("In")

Out = Intent("Out")

InOut = Intent("InOut")

# Generics

class TypeVar():

def __init__(self, name):

self._name = name

def __getitem__(self, params):

return Array(self, params)

def restriction(func):

return func

# Overloading support

def ltype(x):

"""

Converts CPython types to LPython types

"""

if type(x) == int:

return i32, i64

elif type(x) == float:

return f32, f64

elif type(x) == complex:

return c32, c64

elif type(x) == str:

return (str, )

elif type(x) == bool:

return (bool, )

raise Exception("Unsupported Type: %s" % str(type(x)))

class OverloadedFunction:

"""

A wrapper class for allowing overloading.

"""

global_map = {}

def __init__(self, func):

self.func_name = func.__name__

f_list = self.global_map.get(func.__name__, [])

f_list.append((func, getfullargspec(func)))

self.global_map[func.__name__] = f_list

def __call__(self, *args, **kwargs):

func_map_list = self.global_map.get(self.func_name, False)

if not func_map_list:

raise Exception("Function: %s is not defined" % self.func_name)

for item in func_map_list:

func, key = item

try:

# This might fail for the cases when arguments don't match

ann_dict = getcallargs(func, *args, **kwargs)

except TypeError:

continue

flag = True

for k, v in ann_dict.items():

if not key.annotations.get(k, False):

flag = False

break

else:

if not (key.annotations.get(k) in ltype(v)):

flag = False

break

if flag:

return func(*args, **kwargs)

raise Exception(f"Function: {self.func_name} not found with matching "

"signature")

def overload(f):

overloaded_f = OverloadedFunction(f)

overloaded_f.__name__ = f.__name__

overloaded_f.__code__ = f.__code__

overloaded_f.__annotations__ = f.__annotations__

return overloaded_f

# To be handled in ASR

def vectorize(f):

return f

# To be handled in backend

def inline(f):

return f

# To be handled in backend

def static(f):

return f

class PackedDataClass:

pass

def packed(*args, aligned=None):

if len(args) == 1:

if not is_dataclass(args[0]):

raise TypeError("packed can only be applied over a dataclass.")

class PackedDataClassLocal(args[0], PackedDataClass):

class_to_pack = args[0]

return PackedDataClassLocal

def _packed(f):

if not is_dataclass(f):

raise TypeError("packed can only be applied over a dataclass.")

class PackedDataClassLocal(f, PackedDataClass):

class_to_pack = f

return PackedDataClassLocal

return _packed

def interface(f):

def inner_func():

raise Exception("Unexpected to be called by CPython")

return inner_func

# C interoperation support

class c_complex(ctypes.Structure):

def __eq__(self, other):

if isinstance(other, complex):

return self.real == other.real and self.imag == other.imag

elif isinstance(other, (int, float)):

return self.real == other and self.imag == 0.0

return super().__eq__(other)

def __sub__(self, other):

import numpy as np

if isinstance(other, (complex, np.complex64, np.complex128)):

return complex(self.real - other.real, self.imag - other.imag)

elif isinstance(other, (int, float)):

return complex(self.real - other, self.imag)

raise NotImplementedError()

class c_float_complex(c_complex):

_fields_ = [("real", ctypes.c_float), ("imag", ctypes.c_float)]

class c_double_complex(c_complex):

_fields_ = [("real", ctypes.c_double), ("imag", ctypes.c_double)]

def convert_type_to_ctype(arg):

from enum import Enum

if arg == f64:

return ctypes.c_double

elif arg == f32:

return ctypes.c_float

elif arg == i64:

return ctypes.c_int64

elif arg == i32:

return ctypes.c_int32

elif arg == i16:

return ctypes.c_int16

elif arg == i8:

return ctypes.c_int8

elif arg == u64:

return ctypes.c_uint64

elif arg == u32:

return ctypes.c_uint32

elif arg == u16:

return ctypes.c_uint16

elif arg == u8:

return ctypes.c_uint8

elif arg == CPtr:

return ctypes.c_void_p

elif arg == str:

return ctypes.c_char_p

elif arg == c32:

return c_float_complex

elif arg == c64:

return c_double_complex

elif arg == bool:

return ctypes.c_bool

elif arg == Callable:

return ctypes.PYFUNCTYPE(None)

elif arg is None:

raise NotImplementedError("Type cannot be None")

elif isinstance(arg, Array):

if is_dataclass(arg._type):

return arg

type = convert_type_to_ctype(arg._type)

return ctypes.POINTER(type)

elif is_dataclass(arg):

return convert_to_ctypes_Structure(arg)

elif issubclass(arg, Enum):

# TODO: store enum in ctypes.Structure with name and value as fields.

return ctypes.c_int64

else:

raise NotImplementedError("Type %r not implemented" % arg)

def convert_numpy_dtype_to_ctype(arg):

import numpy as np

if arg == np.float64:

return ctypes.c_double

elif arg == np.float32:

return ctypes.c_float

elif arg == np.int64:

return ctypes.c_int64

elif arg == np.int32:

return ctypes.c_int32

elif arg == np.int16:

return ctypes.c_int16

elif arg == np.int8:

return ctypes.c_int8

elif arg == np.uint64:

return ctypes.c_uint64

elif arg == np.uint32:

return ctypes.c_uint32

elif arg == np.uint16:

return ctypes.c_uint16

elif arg == np.uint8:

return ctypes.c_uint8

elif arg == np.void:

return ctypes.c_void_p

elif arg is None:

raise NotImplementedError("Type cannot be None")

else:

raise NotImplementedError("Type %r not implemented" % arg)

class CTypes:

"""

A wrapper class for interfacing C via ctypes.

"""

def __init__(self, f, py_mod = None, py_mod_path = None):

def get_rtlib_dir():

current_dir = os.path.dirname(os.path.abspath(__file__))

return os.path.join(current_dir, "..")

def get_lib_name(name):

if platform.system() == "Linux":

return "lib" + name + ".so"

elif platform.system() == "Darwin":

return "lib" + name + ".dylib"

elif platform.system() == "Windows":

return name + ".dll"

else:

raise NotImplementedError("Platform not implemented")

def get_crtlib_path():

nonlocal py_mod, py_mod_path

if py_mod is None:

py_mod = os.environ.get("LPYTHON_PY_MOD_NAME", "")

if py_mod == "":

return os.path.join(get_rtlib_dir(),

get_lib_name("lpython_runtime"))

else:

if py_mod_path is None:

py_mod_path = os.environ["LPYTHON_PY_MOD_PATH"]

return os.path.join(py_mod_path, get_lib_name(py_mod))

self.name = f.__name__

self.args = f.__code__.co_varnames

self.annotations = f.__annotations__

if ("LPYTHON_PY_MOD_NAME" in os.environ) or (py_mod is not None):

crtlib = get_crtlib_path()

self.library = ctypes.CDLL(crtlib)

self.cf = self.library[self.name]

else:

self.cf = CTypes.emulations[self.name]

argtypes = []

for arg in self.args:

arg_type = self.annotations[arg]

arg_ctype = convert_type_to_ctype(arg_type)

argtypes.append(arg_ctype)

self.cf.argtypes = argtypes

self.cf.restype = None

if "return" in self.annotations:

res_type = self.annotations["return"]

if res_type is not None:

self.cf.restype = convert_type_to_ctype(res_type)

def __call__(self, *args, **kwargs):

if len(kwargs) > 0:

raise Exception("kwargs are not supported")

new_args = []

for arg in args:

import numpy as np

if isinstance(arg, str):

new_args.append(arg.encode("utf-8"))

elif isinstance(arg, np.ndarray):

new_args.append(arg.ctypes.data_as(ctypes.POINTER(convert_numpy_dtype_to_ctype(arg.dtype))))

else:

new_args.append(arg)

res = self.cf(*new_args)

if self.cf.restype == ctypes.c_char_p:

res = res.decode("utf-8")

return res

def convert_to_ctypes_Union(f):

fields = []

for name in f.__annotations__:

ltype_ = f.__annotations__[name]

fields.append((name, convert_type_to_ctype(ltype_)))

f._fields_ = fields

f.__annotations__ = {}

return f

def get_fixed_size_of_array(ltype_: Array):

if isinstance(ltype_._dims, tuple):

size = 1

for dim in ltype_._dims:

if not isinstance(dim, int):

return None

size *= dim

elif isinstance(ltype_._dims, int):

return ltype_._dims

return None

def convert_to_ctypes_Structure(f):

fields = []

pack_class = issubclass(f, PackedDataClass)

if pack_class:

f = f.class_to_pack

if not issubclass(f, ctypes.Structure):

for name in f.__annotations__:

ltype_ = f.__annotations__[name]

if isinstance(ltype_, Array):

array_size = get_fixed_size_of_array(ltype_)

if array_size is not None:

ltype_ = ltype_._type

fields.append((name, convert_type_to_ctype(ltype_) * array_size))

else:

fields.append((name, convert_type_to_ctype(ltype_)))

else:

fields.append((name, convert_type_to_ctype(ltype_)))

else:

fields = f._fields_

pack_class = pack_class or f._pack_

class ctypes_Structure(ctypes.Structure):

_pack_ = int(pack_class)

_fields_ = fields

def __init__(self, *args):

if len(args) != 0 and len(args) != len(self._fields_):

super().__init__(*args)

for field, arg in zip(self._fields_, args):

from enum import Enum

member = self.__getattribute__(field[0])

value = arg

if isinstance(member, ctypes.Array):

import numpy as np

if isinstance(value, np.ndarray):

if value.dtype == np.complex64:

value = value.flatten().tolist()

value = [c_float_complex(val.real, val.imag) for val in value]

elif value.dtype == np.complex128:

value = value.flatten().tolist()

value = [c_double_complex(val.real, val.imag) for val in value]

value = type(member)(*value)

elif isinstance(value, Enum):

value = value.value

self.__setattr__(field[0], value)

ctypes_Structure.__name__ = f.__name__

return ctypes_Structure

def ccall(f=None, header=None, c_shared_lib=None, c_shared_lib_path=None):

def wrap(func):

if not isclass(func) or not issubclass(func, Union):

func = CTypes(func, c_shared_lib, c_shared_lib_path)

return func

if f:

return wrap(f)

return wrap

def pythoncall(*args, **kwargs):

def inner(fn):

import importlib

module = importlib.import_module(kwargs["module"])

fn_new = getattr(module, fn.__name__)

return fn_new

return inner

def union(f):

fields = []

fa = {}

for name in f.__annotations__:

ltype_ = f.__annotations__[name]

ltype_ = convert_type_to_ctype(ltype_)

fa[name] = ltype_

fields.append((name, ltype_))

f._fields_ = fields

f.__annotations__ = fa

return f

def pointer(x, type_=None):

if type_ is None:

type_ = type(x)

from numpy import ndarray

if isinstance(x, ndarray):

return x.ctypes.data_as(ctypes.POINTER(convert_numpy_dtype_to_ctype(x.dtype)))

else:

if type_ == i8:

return ctypes.cast(ctypes.pointer(ctypes.c_int8(x)),

ctypes.c_void_p)

elif type_ == i16:

return ctypes.cast(ctypes.pointer(ctypes.c_int16(x)),

ctypes.c_void_p)

elif type_ == i32:

return ctypes.cast(ctypes.pointer(ctypes.c_int32(x)),

ctypes.c_void_p)

elif type_ == i64:

return ctypes.cast(ctypes.pointer(ctypes.c_int64(x)),

ctypes.c_void_p)

elif type_ == u8:

return ctypes.cast(ctypes.pointer(ctypes.c_uint8(x)),

ctypes.c_void_p)

elif type_ == u16:

return ctypes.cast(ctypes.pointer(ctypes.c_uint16(x)),

ctypes.c_void_p)

elif type_ == u32:

return ctypes.cast(ctypes.pointer(ctypes.c_uint32(x)),

ctypes.c_void_p)

elif type_ == u64:

return ctypes.cast(ctypes.pointer(ctypes.c_uint64(x)),

ctypes.c_void_p)

elif type_ == f32:

return ctypes.cast(ctypes.pointer(ctypes.c_float(x)),

ctypes.c_void_p)

elif type_ == f64:

return ctypes.cast(ctypes.pointer(ctypes.c_double(x)),

ctypes.c_void_p)

elif is_dataclass(type_):

if issubclass(type_, ctypes.Structure):

return ctypes.cast(ctypes.pointer(x), ctypes.c_void_p)

else:

return x

else:

raise Exception("Type not supported in pointer()")

class PointerToStruct:

def __init__(self, ctypes_ptr_):

self.__dict__["ctypes_ptr"] = ctypes_ptr_

def __getattr__(self, name: str):

if name == "ctypes_ptr":

return self.__dict__[name]

value = self.ctypes_ptr.contents.__getattribute__(name)

if isinstance(value, (c_float_complex, c_double_complex)):

value = complex(value.real, value.imag)

return value

def __setattr__(self, name: str, value):

name_ = self.ctypes_ptr.contents.__getattribute__(name)

from enum import Enum

if isinstance(name_, c_float_complex):

if isinstance(value, complex):

value = c_float_complex(value.real, value.imag)

else:

value = c_float_complex(value.real, 0.0)

elif isinstance(name_, c_double_complex):

if isinstance(value, complex):

value = c_double_complex(value.real, value.imag)

else:

value = c_double_complex(value.real, 0.0)

elif isinstance(name_, ctypes.Array):

import numpy as np

if isinstance(value, np.ndarray):

if value.dtype == np.complex64:

value = value.flatten().tolist()

value = [c_float_complex(val.real, val.imag) for val in value]

elif value.dtype == np.complex128:

value = value.flatten().tolist()

value = [c_double_complex(val.real, val.imag) for val in value]

value = type(name_)(*value)

elif isinstance(value, Enum):

value = value.value

self.ctypes_ptr.contents.__setattr__(name, value)

def c_p_pointer(cptr, targettype, targetshape=None):

targettype_ptr = convert_type_to_ctype(targettype)

if isinstance(targettype, Array):

if targetshape is None:

raise ValueError("target shape must be "

"provided if target type is an array.")

# TODO: Add support for multi-dimensional shape of target variable

if py_is_dataclass(targettype._type):

return ctypes.cast(cptr.value, ctypes.py_object).value

newa = ctypes.cast(cptr, targettype_ptr)

return newa

else:

if py_is_dataclass(targettype):

if cptr.value is None:

return None

return ctypes.cast(cptr, ctypes.py_object).value

targettype_ptr = ctypes.POINTER(targettype_ptr)

newa = ctypes.cast(cptr, targettype_ptr)

if is_ctypes_Structure(targettype):

# return after wrapping newa inside PointerToStruct

return PointerToStruct(newa)

return newa

def p_c_pointer(ptr, cptr):

if isinstance(ptr, ctypes.c_void_p):

cptr.value = ptr.value

else:

# assign the address of ptr in memory to cptr.value

# the case for numpy arrays converted to a pointer

cptr.value = id(ptr)

def empty_c_void_p():

class ctypes_c_void_p(ctypes.c_void_p):

def __eq__(self, value):

return self.value == value.value

def __repr__(self):

return str(self.value)

return ctypes_c_void_p()

def cptr_to_u64(cptr):

return u64(ctypes.cast(cptr, ctypes.c_void_p).value)

def u64_to_cptr(ivalue):

return ctypes.c_void_p(i64(ivalue))

def sizeof(arg):

return ctypes.sizeof(convert_type_to_ctype(arg))

def ccallable(f):

if py_is_dataclass(f):

return convert_to_ctypes_Structure(f)

return f

def ccallback(f):

return f

class LpythonJITCache:

def __init__(self):

self.pyfunc2compiledfunc = {}

def compile(self, function, backend, optimisation_flags):

if function in self.pyfunc2compiledfunc:

return self.pyfunc2compiledfunc[function]

if optimisation_flags is not None and backend is None:

raise ValueError("backend must be specified if backend_optimisation_flags are provided.")

if backend is None:

backend = "c"

def get_rtlib_dir():

current_dir = os.path.dirname(os.path.abspath(__file__))

return os.path.join(current_dir, "..")

fn_name = function.__name__

# Get the source code of the function

source_code = getsource(function)

source_code = source_code[source_code.find('\n'):]

dir_name = "./lpython_decorator_" + fn_name

if not os.path.exists(dir_name):

os.mkdir(dir_name)

filename = dir_name + "/" + fn_name

# Open the file for writing

with open(filename + ".py", "w") as file:

# Write the Python source code to the file

file.write("@pythoncallable")

file.write(source_code)

if backend != "c":

raise NotImplementedError("Backend %s is not supported with @lpython yet."%(backend))

opt_flags = " "

if optimisation_flags is not None:

for opt_flag in optimisation_flags:

opt_flags += opt_flag + " "

# ----------------------------------------------------------------------

# Generate the shared library

# TODO: Use LLVM instead of C backend

r = os.system("lpython --show-c --disable-main "

+ filename + ".py > " + filename + ".c")

assert r == 0, "Failed to create C file"

gcc_flags = ""

if platform.system() == "Linux":

gcc_flags = " -shared -fPIC"

elif platform.system() == "Darwin":

gcc_flags = " -bundle -flat_namespace -undefined suppress"

else:

raise NotImplementedError("Platform not implemented")

gcc_flags += opt_flags

from numpy import get_include

from distutils.sysconfig import get_python_inc, get_python_lib, \

get_python_version

python_path = "-I" + get_python_inc() + " "

numpy_path = "-I" + get_include() + " "

rt_path_01 = "-I" + get_rtlib_dir() + "/../../libasr/src/libasr/runtime "

rt_path_02 = "-L" + get_rtlib_dir() + " -Wl,-rpath," \

+ get_rtlib_dir() + " -llpython_runtime "

python_lib = "-L" + get_python_lib() + "/../.." + f" -Wl,-rpath,{get_python_lib()+'/../..'}" + " -lpython" + \

get_python_version() + " -lm"

# ----------------------------------------------------------------------

# Compile the C file and create a shared library

shared_library_name = "lpython_module_" + fn_name

r = os.system("gcc -g" + gcc_flags + python_path + numpy_path +

filename + ".c -o " + shared_library_name + ".so " +

rt_path_01 + rt_path_02 + python_lib)

assert r == 0, "Failed to create the shared library"

self.pyfunc2compiledfunc[function] = (shared_library_name, fn_name)

return self.pyfunc2compiledfunc[function]

lpython_jit_cache = LpythonJITCache()

# Taken from https://stackoverflow.com/a/24617244

def lpython(original_function=None, backend=None, backend_optimisation_flags=None):

"""

The @lpython decorator compiles a given function using LPython.

The decorator should be used from CPython mode, i.e., when the module is

being run using CPython. When possible, it is recommended to use LPython

for the main program, and use the @cpython decorator from the LPython mode

to access CPython features that are not supported by LPython.

"""

def _lpython(function):

@functools.wraps(function)

def __lpython(*args, **kwargs):

import sys; sys.path.append('.')

lib_name, fn_name = lpython_jit_cache.compile(

function, backend, backend_optimisation_flags)

return getattr(__import__(lib_name), fn_name)(*args, **kwargs)

return __lpython

if original_function:

return _lpython(original_function)

return _lpython

def bitnot(x, bitsize):

return (~x) % (2 ** bitsize)

def reserve(data_structure, n):

if isinstance(data_structure, list):

data_structure = [None] * n

# no-op

bitnot_u8 = lambda x: bitnot(x, 8)

bitnot_u16 = lambda x: bitnot(x, 16)

bitnot_u32 = lambda x: bitnot(x, 32)

bitnot_u64 = lambda x: bitnot(x, 64)

lpython/src/runtime/lpython/lpython.py at main · archiv-nptel/lpython · GitHub

Expand file tree

Breadcrumbs

lpython.py

Latest commit

History

Breadcrumbs

lpython.py

File metadata and controls