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npyio.pyi
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npyio.pyi
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from typing import Mapping, List, Any
from numpy import (
DataSource as DataSource,
)
from numpy.core.multiarray import (
packbits as packbits,
unpackbits as unpackbits,
)
__all__: List[str]
class BagObj:
def __init__(self, obj): ...
def __getattribute__(self, key): ...
def __dir__(self): ...
def zipfile_factory(file, *args, **kwargs): ...
class NpzFile(Mapping[Any, Any]):
zip: Any
fid: Any
files: Any
allow_pickle: Any
pickle_kwargs: Any
f: Any
def __init__(self, fid, own_fid=..., allow_pickle=..., pickle_kwargs=...): ...
def __enter__(self): ...
def __exit__(self, exc_type, exc_value, traceback): ...
def close(self): ...
def __del__(self): ...
def __iter__(self): ...
def __len__(self): ...
def __getitem__(self, key): ...
def iteritems(self): ...
def iterkeys(self): ...
def load(file, mmap_mode=..., allow_pickle=..., fix_imports=..., encoding=...): ...
def save(file, arr, allow_pickle=..., fix_imports=...): ...
def savez(file, *args, **kwds): ...
def savez_compressed(file, *args, **kwds): ...
def loadtxt(
fname,
dtype=...,
comments=...,
delimiter=...,
converters=...,
skiprows=...,
usecols=...,
unpack=...,
ndmin=...,
encoding=...,
max_rows=...,
*,
like=...,
): ...
def savetxt(
fname,
X,
fmt=...,
delimiter=...,
newline=...,
header=...,
footer=...,
comments=...,
encoding=...,
): ...
def fromregex(file, regexp, dtype, encoding=...): ...
def genfromtxt(
fname,
dtype=...,
comments=...,
delimiter=...,
skip_header=...,
skip_footer=...,
converters=...,
missing_values=...,
filling_values=...,
usecols=...,
names=...,
excludelist=...,
deletechars=...,
replace_space=...,
autostrip=...,
case_sensitive=...,
defaultfmt=...,
unpack=...,
usemask=...,
loose=...,
invalid_raise=...,
max_rows=...,
encoding=...,
*,
like=...,
): ...
def recfromtxt(fname, **kwargs): ...
def recfromcsv(fname, **kwargs): ...