Intelegentny_Pszczelarz/.venv/Lib/site-packages/numpy/typing/tests/data/reveal/rec.pyi
2023-06-19 00:49:18 +02:00

129 lines
3.3 KiB
Python

import io
from typing import Any
import numpy as np
import numpy.typing as npt
AR_i8: npt.NDArray[np.int64]
REC_AR_V: np.recarray[Any, np.dtype[np.record]]
AR_LIST: list[npt.NDArray[np.int64]]
format_parser: np.format_parser
record: np.record
file_obj: io.BufferedIOBase
reveal_type(np.format_parser( # E: format_parser
formats=[np.float64, np.int64, np.bool_],
names=["f8", "i8", "?"],
titles=None,
aligned=True,
))
reveal_type(format_parser.dtype) # E: dtype[void]
reveal_type(record.field_a) # E: Any
reveal_type(record.field_b) # E: Any
reveal_type(record["field_a"]) # E: Any
reveal_type(record["field_b"]) # E: Any
reveal_type(record.pprint()) # E: str
record.field_c = 5
reveal_type(REC_AR_V.field(0)) # E: Any
reveal_type(REC_AR_V.field("field_a")) # E: Any
reveal_type(REC_AR_V.field(0, AR_i8)) # E: None
reveal_type(REC_AR_V.field("field_a", AR_i8)) # E: None
reveal_type(REC_AR_V["field_a"]) # E: Any
reveal_type(REC_AR_V.field_a) # E: Any
reveal_type(REC_AR_V.__array_finalize__(object())) # E: None
reveal_type(np.recarray( # recarray[Any, dtype[record]]
shape=(10, 5),
formats=[np.float64, np.int64, np.bool_],
order="K",
byteorder="|",
))
reveal_type(np.recarray( # recarray[Any, dtype[Any]]
shape=(10, 5),
dtype=[("f8", np.float64), ("i8", np.int64)],
strides=(5, 5),
))
reveal_type(np.rec.fromarrays( # recarray[Any, dtype[record]]
AR_LIST,
))
reveal_type(np.rec.fromarrays( # recarray[Any, dtype[Any]]
AR_LIST,
dtype=np.int64,
))
reveal_type(np.rec.fromarrays( # recarray[Any, dtype[Any]]
AR_LIST,
formats=[np.int64, np.float64],
names=["i8", "f8"]
))
reveal_type(np.rec.fromrecords( # recarray[Any, dtype[record]]
(1, 1.5),
))
reveal_type(np.rec.fromrecords( # recarray[Any, dtype[record]]
[(1, 1.5)],
dtype=[("i8", np.int64), ("f8", np.float64)],
))
reveal_type(np.rec.fromrecords( # recarray[Any, dtype[record]]
REC_AR_V,
formats=[np.int64, np.float64],
names=["i8", "f8"]
))
reveal_type(np.rec.fromstring( # recarray[Any, dtype[record]]
b"(1, 1.5)",
dtype=[("i8", np.int64), ("f8", np.float64)],
))
reveal_type(np.rec.fromstring( # recarray[Any, dtype[record]]
REC_AR_V,
formats=[np.int64, np.float64],
names=["i8", "f8"]
))
reveal_type(np.rec.fromfile( # recarray[Any, dtype[Any]]
"test_file.txt",
dtype=[("i8", np.int64), ("f8", np.float64)],
))
reveal_type(np.rec.fromfile( # recarray[Any, dtype[record]]
file_obj,
formats=[np.int64, np.float64],
names=["i8", "f8"]
))
reveal_type(np.rec.array( # recarray[Any, dtype[{int64}]]
AR_i8,
))
reveal_type(np.rec.array( # recarray[Any, dtype[Any]]
[(1, 1.5)],
dtype=[("i8", np.int64), ("f8", np.float64)],
))
reveal_type(np.rec.array( # recarray[Any, dtype[record]]
[(1, 1.5)],
formats=[np.int64, np.float64],
names=["i8", "f8"]
))
reveal_type(np.rec.array( # recarray[Any, dtype[Any]]
None,
dtype=np.float64,
shape=(10, 3),
))
reveal_type(np.rec.array( # recarray[Any, dtype[Any]]
None,
formats=[np.int64, np.float64],
names=["i8", "f8"],
shape=(10, 3),
))
reveal_type(np.rec.array( # recarray[Any, dtype[Any]]
file_obj,
dtype=np.float64,
))
reveal_type(np.rec.array( # recarray[Any, dtype[Any]]
file_obj,
formats=[np.int64, np.float64],
names=["i8", "f8"],
))