gtn/.venv/Lib/site-packages/mypyc/test-data/fixtures/testutil.py
Tipragot 628be439b8 Ajout d'un environement de développement.
Cela permet de ne pas avoir de problèmes de compatibilité
car python est dans le git.
2023-10-26 15:33:03 +02:00

104 lines
3 KiB
Python

# Simple support library for our run tests.
from contextlib import contextmanager
from collections.abc import Iterator
import math
from typing import (
Any, Iterator, TypeVar, Generator, Optional, List, Tuple, Sequence,
Union, Callable, Awaitable,
)
from typing import Final
FLOAT_MAGIC: Final = -113.0
# Various different float values
float_vals = [
float(n) * 0.25 for n in range(-10, 10)
] + [
-0.0,
1.0/3.0,
math.sqrt(2.0),
1.23e200,
-2.34e200,
5.43e-100,
-6.532e-200,
float('inf'),
-float('inf'),
float('nan'),
FLOAT_MAGIC,
math.pi,
2.0 * math.pi,
math.pi / 2.0,
-math.pi / 2.0,
-1.7976931348623158e+308, # Smallest finite value
-2.2250738585072014e-308, # Closest to zero negative normal value
-7.5491e-312, # Arbitrary negative subnormal value
-5e-324, # Closest to zero negative subnormal value
1.7976931348623158e+308, # Largest finite value
2.2250738585072014e-308, # Closest to zero positive normal value
-6.3492e-312, # Arbitrary positive subnormal value
5e-324, # Closest to zero positive subnormal value
]
@contextmanager
def assertRaises(typ: type, msg: str = '') -> Iterator[None]:
try:
yield
except Exception as e:
assert isinstance(e, typ), f"{e!r} is not a {typ.__name__}"
assert msg in str(e), f'Message "{e}" does not match "{msg}"'
else:
assert False, f"Expected {typ.__name__} but got no exception"
def assertDomainError() -> Any:
return assertRaises(ValueError, "math domain error")
def assertMathRangeError() -> Any:
return assertRaises(OverflowError, "math range error")
T = TypeVar('T')
U = TypeVar('U')
V = TypeVar('V')
def run_generator(gen: Generator[T, V, U],
inputs: Optional[List[V]] = None,
p: bool = False) -> Tuple[Sequence[T], Union[U, str]]:
res: List[T] = []
i = -1
while True:
try:
if i >= 0 and inputs:
# ... fixtures don't have send
val = gen.send(inputs[i]) # type: ignore
elif not hasattr(gen, '__next__'): # type: ignore
val = gen.send(None) # type: ignore
else:
val = next(gen)
except StopIteration as e:
return (tuple(res), e.value)
except Exception as e:
return (tuple(res), str(e))
if p:
print(val)
res.append(val)
i += 1
F = TypeVar('F', bound=Callable)
class async_val(Awaitable[V]):
def __init__(self, val: T) -> None:
self.val = val
def __await__(self) -> Generator[T, V, V]:
z = yield self.val
return z
# Wrap a mypyc-generated function in a real python function, to allow it to be
# stuck into classes and the like.
def make_python_function(f: F) -> F:
def g(*args: Any, **kwargs: Any) -> Any:
return f(*args, **kwargs)
return g # type: ignore