__  __    __   __  _____      _            _          _____ _          _ _ 
 |  \/  |   \ \ / / |  __ \    (_)          | |        / ____| |        | | |
 | \  / |_ __\ V /  | |__) | __ ___   ____ _| |_ ___  | (___ | |__   ___| | |
 | |\/| | '__|> <   |  ___/ '__| \ \ / / _` | __/ _ \  \___ \| '_ \ / _ \ | |
 | |  | | |_ / . \  | |   | |  | |\ V / (_| | ||  __/  ____) | | | |  __/ | |
 |_|  |_|_(_)_/ \_\ |_|   |_|  |_| \_/ \__,_|\__\___| |_____/|_| |_|\___V 2.1
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from _typeshed import Incomplete
from collections.abc import Callable, Iterator
from typing import Any

class _StatsProperty:
    name: str
    func: Callable[..., Any]
    internal_name: str
    __doc__: str | None
    def __init__(self, name: str, func: Callable[..., Any]) -> None: ...
    def __get__(self, obj: object, objtype: Any | None = None) -> Any: ...

class Stats:
    data: list[float]
    default: float
    def __init__(self, data: list[float], default: float = 0.0, use_copy: bool = True, is_sorted: bool = False) -> None: ...
    def __len__(self) -> int: ...
    def __iter__(self) -> Iterator[float]: ...
    def clear_cache(self) -> None: ...
    count: _StatsProperty
    mean: _StatsProperty
    max: _StatsProperty
    min: _StatsProperty
    median: _StatsProperty
    iqr: _StatsProperty
    trimean: _StatsProperty
    variance: _StatsProperty
    std_dev: _StatsProperty
    median_abs_dev: _StatsProperty
    mad: _StatsProperty
    rel_std_dev: _StatsProperty
    skewness: _StatsProperty
    kurtosis: _StatsProperty
    pearson_type: _StatsProperty
    def get_quantile(self, q: float) -> float: ...
    def get_zscore(self, value: float) -> float: ...
    def trim_relative(self, amount: float = 0.15) -> None: ...
    def get_histogram_counts(self, bins: int | None = None, **kw) -> int: ...
    def format_histogram(self, bins: int | None = None, **kw) -> str: ...
    def describe(
        self, quantiles: list[float] | None = None, format: str | None = None
    ) -> dict[str, float] | list[float] | str: ...

def describe(
    data: list[float], quantiles: list[float] | None = None, format: str | None = None
) -> dict[str, float] | list[float] | str: ...

mean: Incomplete
median: Incomplete
iqr: Incomplete
trimean: Incomplete
variance: Incomplete
std_dev: Incomplete
median_abs_dev: Incomplete
rel_std_dev: Incomplete
skewness: Incomplete
kurtosis: Incomplete
pearson_type: Incomplete

def format_histogram_counts(
    bin_counts: list[float], width: int | None = None, format_bin: Callable[..., Any] | None = None
) -> str: ...

Filemanager

Name Type Size Permission Actions
__init__.pyi File 0 B 0644
cacheutils.pyi File 4.24 KB 0644
debugutils.pyi File 316 B 0644
deprutils.pyi File 283 B 0644
dictutils.pyi File 4.71 KB 0644
easterutils.pyi File 65 B 0644
ecoutils.pyi File 616 B 0644
excutils.pyi File 248 B 0644
fileutils.pyi File 2.53 KB 0644
formatutils.pyi File 1.2 KB 0644
funcutils.pyi File 2.37 KB 0644
gcutils.pyi File 386 B 0644
ioutils.pyi File 2.63 KB 0644
iterutils.pyi File 3.61 KB 0644
jsonutils.pyi File 903 B 0644
listutils.pyi File 1.34 KB 0644
mathutils.pyi File 1.18 KB 0644
mboxutils.pyi File 244 B 0644
namedutils.pyi File 253 B 0644
pathutils.pyi File 294 B 0644
py.typed File 0 B 0644
queueutils.pyi File 468 B 0644
setutils.pyi File 4.15 KB 0644
socketutils.pyi File 2.86 KB 0644
statsutils.pyi File 2.02 KB 0644
strutils.pyi File 2.74 KB 0644
tableutils.pyi File 2.23 KB 0644
tbutils.pyi File 2.97 KB 0644
timeutils.pyi File 2 KB 0644
typeutils.pyi File 554 B 0644
urlutils.pyi File 2.59 KB 0644
Filemanager