Remove Python 3.7 branches (#11238)

stdlib/statistics.pyi

@@ -8,6 +8,10 @@ from typing_extensions import Literal, Self, TypeAlias
 
 __all__ = [
     "StatisticsError",
+    "fmean",
+    "geometric_mean",
+    "mean",
+    "harmonic_mean",
     "pstdev",
     "pvariance",
     "stdev",
@@ -16,14 +20,12 @@ __all__ = [
     "median_low",
     "median_high",
     "median_grouped",
-    "mean",
     "mode",
-    "harmonic_mean",
+    "multimode",
+    "NormalDist",
+    "quantiles",
 ]
 
-if sys.version_info >= (3, 8):
-    __all__ += ["geometric_mean", "multimode", "NormalDist", "fmean", "quantiles"]
-
 if sys.version_info >= (3, 10):
     __all__ += ["covariance", "correlation", "linear_regression"]
 
@@ -39,12 +41,10 @@ class StatisticsError(ValueError): ...
 if sys.version_info >= (3, 11):
     def fmean(data: Iterable[SupportsFloat], weights: Iterable[SupportsFloat] | None = None) -> float: ...
 
-elif sys.version_info >= (3, 8):
+else:
     def fmean(data: Iterable[SupportsFloat]) -> float: ...
 
-if sys.version_info >= (3, 8):
-    def geometric_mean(data: Iterable[SupportsFloat]) -> float: ...
-
+def geometric_mean(data: Iterable[SupportsFloat]) -> float: ...
 def mean(data: Iterable[_NumberT]) -> _NumberT: ...
 
 if sys.version_info >= (3, 10):
@@ -64,56 +64,49 @@ else:
     def median_grouped(data: Iterable[_NumberT], interval: _NumberT | float = 1) -> _NumberT | float: ...
 
 def mode(data: Iterable[_HashableT]) -> _HashableT: ...
-
-if sys.version_info >= (3, 8):
-    def multimode(data: Iterable[_HashableT]) -> list[_HashableT]: ...
-
+def multimode(data: Iterable[_HashableT]) -> list[_HashableT]: ...
 def pstdev(data: Iterable[_NumberT], mu: _NumberT | None = None) -> _NumberT: ...
 def pvariance(data: Iterable[_NumberT], mu: _NumberT | None = None) -> _NumberT: ...
-
-if sys.version_info >= (3, 8):
-    def quantiles(
-        data: Iterable[_NumberT], *, n: int = 4, method: Literal["inclusive", "exclusive"] = "exclusive"
-    ) -> list[_NumberT]: ...
-
+def quantiles(
+    data: Iterable[_NumberT], *, n: int = 4, method: Literal["inclusive", "exclusive"] = "exclusive"
+) -> list[_NumberT]: ...
 def stdev(data: Iterable[_NumberT], xbar: _NumberT | None = None) -> _NumberT: ...
 def variance(data: Iterable[_NumberT], xbar: _NumberT | None = None) -> _NumberT: ...
 
-if sys.version_info >= (3, 8):
-    class NormalDist:
-        def __init__(self, mu: float = 0.0, sigma: float = 1.0) -> None: ...
-        @property
-        def mean(self) -> float: ...
-        @property
-        def median(self) -> float: ...
-        @property
-        def mode(self) -> float: ...
-        @property
-        def stdev(self) -> float: ...
-        @property
-        def variance(self) -> float: ...
-        @classmethod
-        def from_samples(cls, data: Iterable[SupportsFloat]) -> Self: ...
-        def samples(self, n: int, *, seed: Any | None = None) -> list[float]: ...
-        def pdf(self, x: float) -> float: ...
-        def cdf(self, x: float) -> float: ...
-        def inv_cdf(self, p: float) -> float: ...
-        def overlap(self, other: NormalDist) -> float: ...
-        def quantiles(self, n: int = 4) -> list[float]: ...
-        if sys.version_info >= (3, 9):
-            def zscore(self, x: float) -> float: ...
+class NormalDist:
+    def __init__(self, mu: float = 0.0, sigma: float = 1.0) -> None: ...
+    @property
+    def mean(self) -> float: ...
+    @property
+    def median(self) -> float: ...
+    @property
+    def mode(self) -> float: ...
+    @property
+    def stdev(self) -> float: ...
+    @property
+    def variance(self) -> float: ...
+    @classmethod
+    def from_samples(cls, data: Iterable[SupportsFloat]) -> Self: ...
+    def samples(self, n: int, *, seed: Any | None = None) -> list[float]: ...
+    def pdf(self, x: float) -> float: ...
+    def cdf(self, x: float) -> float: ...
+    def inv_cdf(self, p: float) -> float: ...
+    def overlap(self, other: NormalDist) -> float: ...
+    def quantiles(self, n: int = 4) -> list[float]: ...
+    if sys.version_info >= (3, 9):
+        def zscore(self, x: float) -> float: ...
 
-        def __eq__(self, x2: object) -> bool: ...
-        def __add__(self, x2: float | NormalDist) -> NormalDist: ...
-        def __sub__(self, x2: float | NormalDist) -> NormalDist: ...
-        def __mul__(self, x2: float) -> NormalDist: ...
-        def __truediv__(self, x2: float) -> NormalDist: ...
-        def __pos__(self) -> NormalDist: ...
-        def __neg__(self) -> NormalDist: ...
-        __radd__ = __add__
-        def __rsub__(self, x2: float | NormalDist) -> NormalDist: ...
-        __rmul__ = __mul__
-        def __hash__(self) -> int: ...
+    def __eq__(self, x2: object) -> bool: ...
+    def __add__(self, x2: float | NormalDist) -> NormalDist: ...
+    def __sub__(self, x2: float | NormalDist) -> NormalDist: ...
+    def __mul__(self, x2: float) -> NormalDist: ...
+    def __truediv__(self, x2: float) -> NormalDist: ...
+    def __pos__(self) -> NormalDist: ...
+    def __neg__(self) -> NormalDist: ...
+    __radd__ = __add__
+    def __rsub__(self, x2: float | NormalDist) -> NormalDist: ...
+    __rmul__ = __mul__
+    def __hash__(self) -> int: ...
 
 if sys.version_info >= (3, 12):
     def correlation(