Wala shell

Advanced PHP File Manager

Server IP: 127.0.0.1 | PHP Version: 8.3.30 | Domains Hosted: 54

Name	Size	Last Modified	Actions
📁 ..	-	2026-03-21 15:45
📄 __init__.py	0 B	2026-01-20 12:58
📁 __pycache__	-	2026-03-21 15:45
📁 data	-	2026-03-21 15:45
📄 test_isfile.py import os from pathlib import Path import numpy as np from numpy.testing import assert_ ROOT = Path(np.__file__).parents[0] FILES = [ ROOT / "py.typed", ROOT / "__init__.pyi", ROOT / "ctypeslib.pyi", ROOT / "core" / "__init__.pyi", ROOT / "distutils" / "__init__.pyi", ROOT / "f2py" / "__init__.pyi", ROOT / "fft" / "__init__.pyi", ROOT / "lib" / "__init__.pyi", ROOT / "linalg" / "__init__.pyi", ROOT / "ma" / "__init__.pyi", ROOT / "matrixlib" / "__init__.pyi", ROOT / "polynomial" / "__init__.pyi", ROOT / "random" / "__init__.pyi", ROOT / "testing" / "__init__.pyi", ] class TestIsFile: def test_isfile(self): """Test if all ``.pyi`` files are properly installed.""" for file in FILES: assert_(os.path.isfile(file))	812 B	2026-01-20 12:58
📄 test_runtime.py """Test the runtime usage of `numpy.typing`.""" from __future__ import annotations from typing import ( get_type_hints, Union, NamedTuple, get_args, get_origin, Any, ) import pytest import numpy as np import numpy.typing as npt import numpy._typing as _npt class TypeTup(NamedTuple): typ: type args: tuple[type, ...] origin: None \| type NDArrayTup = TypeTup(npt.NDArray, npt.NDArray.__args__, np.ndarray) TYPES = { "ArrayLike": TypeTup(npt.ArrayLike, npt.ArrayLike.__args__, Union), "DTypeLike": TypeTup(npt.DTypeLike, npt.DTypeLike.__args__, Union), "NBitBase": TypeTup(npt.NBitBase, (), None), "NDArray": NDArrayTup, } @pytest.mark.parametrize("name,tup", TYPES.items(), ids=TYPES.keys()) def test_get_args(name: type, tup: TypeTup) -> None: """Test `typing.get_args`.""" typ, ref = tup.typ, tup.args out = get_args(typ) assert out == ref @pytest.mark.parametrize("name,tup", TYPES.items(), ids=TYPES.keys()) def test_get_origin(name: type, tup: TypeTup) -> None: """Test `typing.get_origin`.""" typ, ref = tup.typ, tup.origin out = get_origin(typ) assert out == ref @pytest.mark.parametrize("name,tup", TYPES.items(), ids=TYPES.keys()) def test_get_type_hints(name: type, tup: TypeTup) -> None: """Test `typing.get_type_hints`.""" typ = tup.typ # Explicitly set `__annotations__` in order to circumvent the # stringification performed by `from __future__ import annotations` def func(a): pass func.__annotations__ = {"a": typ, "return": None} out = get_type_hints(func) ref = {"a": typ, "return": type(None)} assert out == ref @pytest.mark.parametrize("name,tup", TYPES.items(), ids=TYPES.keys()) def test_get_type_hints_str(name: type, tup: TypeTup) -> None: """Test `typing.get_type_hints` with string-representation of types.""" typ_str, typ = f"npt.{name}", tup.typ # Explicitly set `__annotations__` in order to circumvent the # stringification performed by `from __future__ import annotations` def func(a): pass func.__annotations__ = {"a": typ_str, "return": None} out = get_type_hints(func) ref = {"a": typ, "return": type(None)} assert out == ref def test_keys() -> None: """Test that ``TYPES.keys()`` and ``numpy.typing.__all__`` are synced.""" keys = TYPES.keys() ref = set(npt.__all__) assert keys == ref PROTOCOLS: dict[str, tuple[type[Any], object]] = { "_SupportsDType": (_npt._SupportsDType, np.int64(1)), "_SupportsArray": (_npt._SupportsArray, np.arange(10)), "_SupportsArrayFunc": (_npt._SupportsArrayFunc, np.arange(10)), "_NestedSequence": (_npt._NestedSequence, [1]), } @pytest.mark.parametrize("cls,obj", PROTOCOLS.values(), ids=PROTOCOLS.keys()) class TestRuntimeProtocol: def test_isinstance(self, cls: type[Any], obj: object) -> None: assert isinstance(obj, cls) assert not isinstance(None, cls) def test_issubclass(self, cls: type[Any], obj: object) -> None: if cls is _npt._SupportsDType: pytest.xfail( "Protocols with non-method members don't support issubclass()" ) assert issubclass(type(obj), cls) assert not issubclass(type(None), cls)	3.2 KB	2026-01-20 12:58
📄 test_typing.py from __future__ import annotations import importlib.util import itertools import os import re import shutil from collections import defaultdict from collections.abc import Iterator from typing import IO, TYPE_CHECKING import pytest import numpy as np import numpy.typing as npt from numpy.typing.mypy_plugin import ( _PRECISION_DICT, _EXTENDED_PRECISION_LIST, _C_INTP, ) try: from mypy import api except ImportError: NO_MYPY = True else: NO_MYPY = False if TYPE_CHECKING: # We need this as annotation, but it's located in a private namespace. # As a compromise, do not import it during runtime from _pytest.mark.structures import ParameterSet DATA_DIR = os.path.join(os.path.dirname(__file__), "data") PASS_DIR = os.path.join(DATA_DIR, "pass") FAIL_DIR = os.path.join(DATA_DIR, "fail") REVEAL_DIR = os.path.join(DATA_DIR, "reveal") MISC_DIR = os.path.join(DATA_DIR, "misc") MYPY_INI = os.path.join(DATA_DIR, "mypy.ini") CACHE_DIR = os.path.join(DATA_DIR, ".mypy_cache") #: A dictionary with file names as keys and lists of the mypy stdout as values. #: To-be populated by `run_mypy`. OUTPUT_MYPY: dict[str, list[str]] = {} def _key_func(key: str) -> str: """Split at the first occurrence of the ``:`` character. Windows drive-letters (e.g. ``C:``) are ignored herein. """ drive, tail = os.path.splitdrive(key) return os.path.join(drive, tail.split(":", 1)[0]) def _strip_filename(msg: str) -> str: """Strip the filename from a mypy message.""" _, tail = os.path.splitdrive(msg) return tail.split(":", 1)[-1] def strip_func(match: re.Match[str]) -> str: """`re.sub` helper function for stripping module names.""" return match.groups()[1] @pytest.mark.slow @pytest.mark.skipif(NO_MYPY, reason="Mypy is not installed") @pytest.fixture(scope="module", autouse=True) def run_mypy() -> None: """Clears the cache and run mypy before running any of the typing tests. The mypy results are cached in `OUTPUT_MYPY` for further use. The cache refresh can be skipped using NUMPY_TYPING_TEST_CLEAR_CACHE=0 pytest numpy/typing/tests """ if ( os.path.isdir(CACHE_DIR) and bool(os.environ.get("NUMPY_TYPING_TEST_CLEAR_CACHE", True)) ): shutil.rmtree(CACHE_DIR) for directory in (PASS_DIR, REVEAL_DIR, FAIL_DIR, MISC_DIR): # Run mypy stdout, stderr, exit_code = api.run([ "--config-file", MYPY_INI, "--cache-dir", CACHE_DIR, directory, ]) if stderr: pytest.fail(f"Unexpected mypy standard error\n\n{stderr}") elif exit_code not in {0, 1}: pytest.fail(f"Unexpected mypy exit code: {exit_code}\n\n{stdout}") stdout = stdout.replace('', '') # Parse the output iterator = itertools.groupby(stdout.split("\n"), key=_key_func) OUTPUT_MYPY.update((k, list(v)) for k, v in iterator if k) def get_test_cases(directory: str) -> Iterator[ParameterSet]: for root, _, files in os.walk(directory): for fname in files: short_fname, ext = os.path.splitext(fname) if ext in (".pyi", ".py"): fullpath = os.path.join(root, fname) yield pytest.param(fullpath, id=short_fname) @pytest.mark.slow @pytest.mark.skipif(NO_MYPY, reason="Mypy is not installed") @pytest.mark.parametrize("path", get_test_cases(PASS_DIR)) def test_success(path) -> None: # Alias `OUTPUT_MYPY` so that it appears in the local namespace output_mypy = OUTPUT_MYPY if path in output_mypy: msg = "Unexpected mypy output\n\n" msg += "\n".join(_strip_filename(v) for v in output_mypy[path]) raise AssertionError(msg) @pytest.mark.slow @pytest.mark.skipif(NO_MYPY, reason="Mypy is not installed") @pytest.mark.parametrize("path", get_test_cases(FAIL_DIR)) def test_fail(path: str) -> None: __tracebackhide__ = True with open(path) as fin: lines = fin.readlines() errors = defaultdict(lambda: "") output_mypy = OUTPUT_MYPY assert path in output_mypy for error_line in output_mypy[path]: error_line = _strip_filename(error_line).split("\n", 1)[0] match = re.match( r"(?P<lineno>\d+): (error\|note): .+$", error_line, ) if match is None: raise ValueError(f"Unexpected error line format: {error_line}") lineno = int(match.group('lineno')) errors[lineno] += f'{error_line}\n' for i, line in enumerate(lines): lineno = i + 1 if ( line.startswith('#') or (" E:" not in line and lineno not in errors) ): continue target_line = lines[lineno - 1] if "# E:" in target_line: expression, _, marker = target_line.partition(" # E: ") expected_error = errors[lineno].strip() marker = marker.strip() _test_fail(path, expression, marker, expected_error, lineno) else: pytest.fail( f"Unexpected mypy output at line {lineno}\n\n{errors[lineno]}" ) _FAIL_MSG1 = """Extra error at line {} Expression: {} Extra error: {!r} """ _FAIL_MSG2 = """Error mismatch at line {} Expression: {} Expected error: {!r} Observed error: {!r} """ def _test_fail( path: str, expression: str, error: str, expected_error: None \| str, lineno: int, ) -> None: if expected_error is None: raise AssertionError(_FAIL_MSG1.format(lineno, expression, error)) elif error not in expected_error: raise AssertionError(_FAIL_MSG2.format( lineno, expression, expected_error, error )) def _construct_ctypes_dict() -> dict[str, str]: dct = { "ubyte": "c_ubyte", "ushort": "c_ushort", "uintc": "c_uint", "uint": "c_ulong", "ulonglong": "c_ulonglong", "byte": "c_byte", "short": "c_short", "intc": "c_int", "int_": "c_long", "longlong": "c_longlong", "single": "c_float", "double": "c_double", "longdouble": "c_longdouble", } # Match `ctypes` names to the first ctypes type with a given kind and # precision, e.g. {"c_double": "c_double", "c_longdouble": "c_double"} # if both types represent 64-bit floats. # In this context "first" is defined by the order of `dct` ret = {} visited: dict[tuple[str, int], str] = {} for np_name, ct_name in dct.items(): np_scalar = getattr(np, np_name)() # Find the first `ctypes` type for a given `kind`/`itemsize` combo key = (np_scalar.dtype.kind, np_scalar.dtype.itemsize) ret[ct_name] = visited.setdefault(key, f"ctypes.{ct_name}") return ret def _construct_format_dict() -> dict[str, str]: dct = {k.split(".")[-1]: v.replace("numpy", "numpy._typing") for k, v in _PRECISION_DICT.items()} return { "uint8": "numpy.unsignedinteger[numpy._typing._8Bit]", "uint16": "numpy.unsignedinteger[numpy._typing._16Bit]", "uint32": "numpy.unsignedinteger[numpy._typing._32Bit]", "uint64": "numpy.unsignedinteger[numpy._typing._64Bit]", "uint128": "numpy.unsignedinteger[numpy._typing._128Bit]", "uint256": "numpy.unsignedinteger[numpy._typing._256Bit]", "int8": "numpy.signedinteger[numpy._typing._8Bit]", "int16": "numpy.signedinteger[numpy._typing._16Bit]", "int32": "numpy.signedinteger[numpy._typing._32Bit]", "int64": "numpy.signedinteger[numpy._typing._64Bit]", "int128": "numpy.signedinteger[numpy._typing._128Bit]", "int256": "numpy.signedinteger[numpy._typing._256Bit]", "float16": "numpy.floating[numpy._typing._16Bit]", "float32": "numpy.floating[numpy._typing._32Bit]", "float64": "numpy.floating[numpy._typing._64Bit]", "float80": "numpy.floating[numpy._typing._80Bit]", "float96": "numpy.floating[numpy._typing._96Bit]", "float128": "numpy.floating[numpy._typing._128Bit]", "float256": "numpy.floating[numpy._typing._256Bit]", "complex64": ("numpy.complexfloating" "[numpy._typing._32Bit, numpy._typing._32Bit]"), "complex128": ("numpy.complexfloating" "[numpy._typing._64Bit, numpy._typing._64Bit]"), "complex160": ("numpy.complexfloating" "[numpy._typing._80Bit, numpy._typing._80Bit]"), "complex192": ("numpy.complexfloating" "[numpy._typing._96Bit, numpy._typing._96Bit]"), "complex256": ("numpy.complexfloating" "[numpy._typing._128Bit, numpy._typing._128Bit]"), "complex512": ("numpy.complexfloating" "[numpy._typing._256Bit, numpy._typing._256Bit]"), "ubyte": f"numpy.unsignedinteger[{dct['_NBitByte']}]", "ushort": f"numpy.unsignedinteger[{dct['_NBitShort']}]", "uintc": f"numpy.unsignedinteger[{dct['_NBitIntC']}]", "uintp": f"numpy.unsignedinteger[{dct['_NBitIntP']}]", "uint": f"numpy.unsignedinteger[{dct['_NBitInt']}]", "ulonglong": f"numpy.unsignedinteger[{dct['_NBitLongLong']}]", "byte": f"numpy.signedinteger[{dct['_NBitByte']}]", "short": f"numpy.signedinteger[{dct['_NBitShort']}]", "intc": f"numpy.signedinteger[{dct['_NBitIntC']}]", "intp": f"numpy.signedinteger[{dct['_NBitIntP']}]", "int_": f"numpy.signedinteger[{dct['_NBitInt']}]", "longlong": f"numpy.signedinteger[{dct['_NBitLongLong']}]", "half": f"numpy.floating[{dct['_NBitHalf']}]", "single": f"numpy.floating[{dct['_NBitSingle']}]", "double": f"numpy.floating[{dct['_NBitDouble']}]", "longdouble": f"numpy.floating[{dct['_NBitLongDouble']}]", "csingle": ("numpy.complexfloating" f"[{dct['_NBitSingle']}, {dct['_NBitSingle']}]"), "cdouble": ("numpy.complexfloating" f"[{dct['_NBitDouble']}, {dct['_NBitDouble']}]"), "clongdouble": ( "numpy.complexfloating" f"[{dct['_NBitLongDouble']}, {dct['_NBitLongDouble']}]" ), # numpy.typing "_NBitInt": dct['_NBitInt'], # numpy.ctypeslib "c_intp": f"ctypes.{_C_INTP}" } #: A dictionary with all supported format keys (as keys) #: and matching values FORMAT_DICT: dict[str, str] = _construct_format_dict() FORMAT_DICT.update(_construct_ctypes_dict()) def _parse_reveals(file: IO[str]) -> tuple[npt.NDArray[np.str_], list[str]]: """Extract and parse all ``" # E: "`` comments from the passed file-like object. All format keys will be substituted for their respective value from `FORMAT_DICT`, e.g.* ``"{float64}"`` becomes ``"numpy.floating[numpy._typing._64Bit]"``. """ string = file.read().replace("", "") # Grab all `# E:`-based comments and matching expressions expression_array, _, comments_array = np.char.partition( string.split("\n"), sep=" # E: " ).T comments = "/n".join(comments_array) # Only search for the `{}` pattern within comments, otherwise # there is the risk of accidentally grabbing dictionaries and sets key_set = set(re.findall(r"\{(.?)\}", comments)) kwargs = { k: FORMAT_DICT.get(k, f"<UNRECOGNIZED FORMAT KEY {k!r}>") for k in key_set } fmt_str = comments.format(kwargs) return expression_array, fmt_str.split("/n") @pytest.mark.slow @pytest.mark.skipif(NO_MYPY, reason="Mypy is not installed") @pytest.mark.parametrize("path", get_test_cases(REVEAL_DIR)) def test_reveal(path: str) -> None: """Validate that mypy correctly infers the return-types of the expressions in `path`. """ __tracebackhide__ = True with open(path) as fin: expression_array, reveal_list = _parse_reveals(fin) output_mypy = OUTPUT_MYPY assert path in output_mypy for error_line in output_mypy[path]: error_line = _strip_filename(error_line) match = re.match( r"(?P<lineno>\d+): note: .+$", error_line, ) if match is None: raise ValueError(f"Unexpected reveal line format: {error_line}") lineno = int(match.group('lineno')) - 1 assert "Revealed type is" in error_line marker = reveal_list[lineno] expression = expression_array[lineno] _test_reveal(path, expression, marker, error_line, 1 + lineno) _REVEAL_MSG = """Reveal mismatch at line {} Expression: {} Expected reveal: {!r} Observed reveal: {!r} """ _STRIP_PATTERN = re.compile(r"(\w+\.)+(\w+)") def _test_reveal( path: str, expression: str, reveal: str, expected_reveal: str, lineno: int, ) -> None: """Error-reporting helper function for `test_reveal`.""" stripped_reveal = _STRIP_PATTERN.sub(strip_func, reveal) stripped_expected_reveal = _STRIP_PATTERN.sub(strip_func, expected_reveal) if stripped_reveal not in stripped_expected_reveal: raise AssertionError( _REVEAL_MSG.format(lineno, expression, stripped_expected_reveal, stripped_reveal) ) @pytest.mark.slow @pytest.mark.skipif(NO_MYPY, reason="Mypy is not installed") @pytest.mark.parametrize("path", get_test_cases(PASS_DIR)) def test_code_runs(path: str) -> None: """Validate that the code in `path` properly during runtime.""" path_without_extension, _ = os.path.splitext(path) dirname, filename = path.split(os.sep)[-2:] spec = importlib.util.spec_from_file_location( f"{dirname}.{filename}", path ) assert spec is not None assert spec.loader is not None test_module = importlib.util.module_from_spec(spec) spec.loader.exec_module(test_module) LINENO_MAPPING = { 3: "uint128", 4: "uint256", 6: "int128", 7: "int256", 9: "float80", 10: "float96", 11: "float128", 12: "float256", 14: "complex160", 15: "complex192", 16: "complex256", 17: "complex512", } @pytest.mark.slow @pytest.mark.skipif(NO_MYPY, reason="Mypy is not installed") def test_extended_precision() -> None: path = os.path.join(MISC_DIR, "extended_precision.pyi") output_mypy = OUTPUT_MYPY assert path in output_mypy with open(path) as f: expression_list = f.readlines() for _msg in output_mypy[path]: _, _lineno, msg_typ, msg = _msg.split(":") msg = _strip_filename(msg) lineno = int(_lineno) expression = expression_list[lineno - 1].rstrip("\n") msg_typ = msg_typ.strip() assert msg_typ in {"error", "note"} if LINENO_MAPPING[lineno] in _EXTENDED_PRECISION_LIST: if msg_typ == "error": raise ValueError(f"Unexpected reveal line format: {lineno}") else: marker = FORMAT_DICT[LINENO_MAPPING[lineno]] _test_reveal(path, expression, marker, msg, lineno) else: if msg_typ == "error": marker = "Module has no attribute" _test_fail(path, expression, marker, msg, lineno)	14.95 KB	2026-01-20 12:58

Terminal