[FEAT] Implements trigonometry expressions: arctanh arccosh arcsinh

daft/daft.pyi

@@ -1036,6 +1036,9 @@ class PyExpr:
     def arccos(self) -> PyExpr: ...
     def arctan(self) -> PyExpr: ...
     def arctan2(self, other: PyExpr) -> PyExpr: ...
+    def arctanh(self) -> PyExpr: ...
+    def arccosh(self) -> PyExpr: ...
+    def arcsinh(self) -> PyExpr: ...
     def degrees(self) -> PyExpr: ...
     def radians(self) -> PyExpr: ...
     def log2(self) -> PyExpr: ...
@@ -1225,6 +1228,9 @@ class PySeries:
     def arccos(self) -> PySeries: ...
     def arctan(self) -> PySeries: ...
     def arctan2(self, other: PySeries) -> PySeries: ...
+    def arctanh(self) -> PySeries: ...
+    def arccosh(self) -> PySeries: ...
+    def arcsinh(self) -> PySeries: ...
     def degrees(self) -> PySeries: ...
     def radians(self) -> PySeries: ...
     def log2(self) -> PySeries: ...

daft/expressions/expressions.py

@@ -434,6 +434,21 @@ def arctan2(self, other: Expression) -> Expression:
         expr = Expression._to_expression(other)
         return Expression._from_pyexpr(self._expr.arctan2(expr._expr))
 
+    def arctanh(self) -> Expression:
+        """The elementwise inverse hyperbolic tangent of a numeric expression (``expr.arctanh()``)"""
+        expr = self._expr.arctanh()
+        return Expression._from_pyexpr(expr)
+
+    def arccosh(self) -> Expression:
+        """The elementwise inverse hyperbolic cosine of a numeric expression (``expr.arccosh()``)"""
+        expr = self._expr.arccosh()
+        return Expression._from_pyexpr(expr)
+
+    def arcsinh(self) -> Expression:
+        """The elementwise inverse hyperbolic sine of a numeric expression (``expr.arcsinh()``)"""
+        expr = self._expr.arcsinh()
+        return Expression._from_pyexpr(expr)
+
     def radians(self) -> Expression:
         """The elementwise radians of a numeric expression (``expr.radians()``)"""
         expr = self._expr.radians()

daft/series.py

@@ -402,6 +402,18 @@ def arctan2(self, other: Series) -> Series:
             raise TypeError(f"expected another Series but got {type(other)}")
         return Series._from_pyseries(self._series.arctan2(other._series))
 
+    def arctanh(self) -> Series:
+        """The elementwise inverse hyperbolic tangent of a numeric series"""
+        return Series._from_pyseries(self._series.arctanh())
+
+    def arccosh(self) -> Series:
+        """The elementwise inverse hyperbolic cosine of a numeric series"""
+        return Series._from_pyseries(self._series.arccosh())
+
+    def arcsinh(self) -> Series:
+        """The elementwise inverse hyperbolic sine of a numeric series"""
+        return Series._from_pyseries(self._series.arcsinh())
+
     def radians(self) -> Series:
         """The elementwise radians of a numeric series"""
         return Series._from_pyseries(self._series.radians())

docs/source/api_docs/expressions.rst

@@ -60,6 +60,9 @@ Numeric
     Expression.arccos
     Expression.arctan
     Expression.arctan2
+    Expression.arctanh
+    Expression.arccosh
+    Expression.arcsinh
     Expression.radians
     Expression.degrees
     Expression.log2

src/daft-core/src/array/ops/trigonometry.rs

@@ -19,6 +19,9 @@ pub enum TrigonometricFunction {
     ArcTan,
     Radians,
     Degrees,
+    ArcTanh,
+    ArcCosh,
+    ArcSinh,
 }
 
 impl TrigonometricFunction {
@@ -34,6 +37,9 @@ impl TrigonometricFunction {
             ArcTan => "arctan",
             Radians => "radians",
             Degrees => "degrees",
+            ArcTanh => "arctanh",
+            ArcCosh => "arccosh",
+            ArcSinh => "arcsinh",
         }
     }
 }
@@ -55,6 +61,9 @@ where
             ArcTan => self.apply(|v| v.atan()),
             Radians => self.apply(|v| v.to_radians()),
             Degrees => self.apply(|v| v.to_degrees()),
+            ArcTanh => self.apply(|v| v.atanh()),
+            ArcCosh => self.apply(|v| v.acosh()),
+            ArcSinh => self.apply(|v| v.asinh()),
         }
     }
 }

src/daft-core/src/python/series.rs

@@ -205,6 +205,27 @@ impl PySeries {
             .into())
     }
 
+    pub fn arctanh(&self) -> PyResult<Self> {
+        Ok(self
+            .series
+            .trigonometry(&TrigonometricFunction::ArcTanh)?
+            .into())
+    }
+
+    pub fn arccosh(&self) -> PyResult<Self> {
+        Ok(self
+            .series
+            .trigonometry(&TrigonometricFunction::ArcCosh)?
+            .into())
+    }
+
+    pub fn arcsinh(&self) -> PyResult<Self> {
+        Ok(self
+            .series
+            .trigonometry(&TrigonometricFunction::ArcSinh)?
+            .into())
+    }
+
     pub fn log2(&self) -> PyResult<Self> {
         Ok(self.series.log2()?.into())
     }

src/daft-dsl/src/functions/numeric/mod.rs

@@ -49,6 +49,9 @@ pub enum NumericExpr {
     Log(FloatWrapper<f64>),
     Ln,
     Exp,
+    ArcTanh,
+    ArcCosh,
+    ArcSinh,
 }
 
 impl NumericExpr {
@@ -77,6 +80,9 @@ impl NumericExpr {
             Log(_) => &LogEvaluator(log::LogFunction::Log),
             Ln => &LogEvaluator(log::LogFunction::Ln),
             Exp => &ExpEvaluator {},
+            ArcTanh => &TrigonometryEvaluator(TrigonometricFunction::ArcTanh),
+            ArcCosh => &TrigonometryEvaluator(TrigonometricFunction::ArcCosh),
+            ArcSinh => &TrigonometryEvaluator(TrigonometricFunction::ArcSinh),
         }
     }
 }
@@ -209,6 +215,30 @@ pub fn degrees(input: ExprRef) -> ExprRef {
     .into()
 }
 
+pub fn arctanh(input: ExprRef) -> ExprRef {
+    Expr::Function {
+        func: super::FunctionExpr::Numeric(NumericExpr::ArcTanh),
+        inputs: vec![input],
+    }
+    .into()
+}
+
+pub fn arccosh(input: ExprRef) -> ExprRef {
+    Expr::Function {
+        func: super::FunctionExpr::Numeric(NumericExpr::ArcCosh),
+        inputs: vec![input],
+    }
+    .into()
+}
+
+pub fn arcsinh(input: ExprRef) -> ExprRef {
+    Expr::Function {
+        func: super::FunctionExpr::Numeric(NumericExpr::ArcSinh),
+        inputs: vec![input],
+    }
+    .into()
+}
+
 pub fn log2(input: ExprRef) -> ExprRef {
     Expr::Function {
         func: super::FunctionExpr::Numeric(NumericExpr::Log2),

src/daft-dsl/src/python.rs

@@ -282,6 +282,21 @@ impl PyExpr {
         Ok(degrees(self.into()).into())
     }
 
+    pub fn arctanh(&self) -> PyResult<Self> {
+        use functions::numeric::arctanh;
+        Ok(arctanh(self.into()).into())
+    }
+
+    pub fn arccosh(&self) -> PyResult<Self> {
+        use functions::numeric::arccosh;
+        Ok(arccosh(self.into()).into())
+    }
+
+    pub fn arcsinh(&self) -> PyResult<Self> {
+        use functions::numeric::arcsinh;
+        Ok(arcsinh(self.into()).into())
+    }
+
     pub fn log2(&self) -> PyResult<Self> {
         use functions::numeric::log2;
         Ok(log2(self.into()).into())

tests/expressions/test_expressions.py

@@ -195,6 +195,33 @@ def test_repr_functions_atan2() -> None:
     assert repr_out == repr(copied)
 
 
+def test_repr_functions_arctanh() -> None:
+    a = col("a")
+    y = a.arctanh()
+    repr_out = repr(y)
+    assert repr_out == "arctanh(col(a))"
+    copied = copy.deepcopy(y)
+    assert repr_out == repr(copied)
+
+
+def test_repr_functions_arccosh() -> None:
+    a = col("a")
+    y = a.arccosh()
+    repr_out = repr(y)
+    assert repr_out == "arccosh(col(a))"
+    copied = copy.deepcopy(y)
+    assert repr_out == repr(copied)
+
+
+def test_repr_functions_arcsinh() -> None:
+    a = col("a")
+    y = a.arcsinh()
+    repr_out = repr(y)
+    assert repr_out == "arcsinh(col(a))"
+    copied = copy.deepcopy(y)
+    assert repr_out == repr(copied)
+
+
 def test_repr_functions_day() -> None:
     a = col("a")
     y = a.dt.day()

tests/expressions/typing/test_arithmetic.py

@@ -197,6 +197,36 @@ def test_atan2(binary_data_fixture):
     )
 
 
+def test_atanh(unary_data_fixture):
+    arg = unary_data_fixture
+    assert_typing_resolve_vs_runtime_behavior(
+        data=(unary_data_fixture,),
+        expr=col(arg.name()).arctanh(),
+        run_kernel=lambda: arg.arctanh(),
+        resolvable=is_numeric(arg.datatype()),
+    )
+
+
+def test_asinh(unary_data_fixture):
+    arg = unary_data_fixture
+    assert_typing_resolve_vs_runtime_behavior(
+        data=(unary_data_fixture,),
+        expr=col(arg.name()).arcsinh(),
+        run_kernel=lambda: arg.arcsinh(),
+        resolvable=is_numeric(arg.datatype()),
+    )
+
+
+def test_acosh(unary_data_fixture):
+    arg = unary_data_fixture
+    assert_typing_resolve_vs_runtime_behavior(
+        data=(unary_data_fixture,),
+        expr=col(arg.name()).arccosh(),
+        run_kernel=lambda: arg.arccosh(),
+        resolvable=is_numeric(arg.datatype()),
+    )
+
+
 def test_exp(unary_data_fixture):
     arg = unary_data_fixture
     assert_typing_resolve_vs_runtime_behavior(

tests/table/test_eval.py

@@ -367,6 +367,51 @@ def test_table_numeric_atan2_literals() -> None:
         )
 
 
+def test_table_numeric_arctanh() -> None:
+    table = MicroPartition.from_pydict({"a": [0.0, 0.5, 0.9, -0.9, -0.5, -0.0, math.nan]})
+    s = table.to_pandas()["a"]
+    np_result = np.arctanh(s)
+
+    arct = table.eval_expression_list([col("a").arctanh()])
+    assert (
+        all(
+            x - y < 1.0e-10 or (x is None and y is None) or (math.isnan(x) and math.isnan(y))
+            for x, y in zip(arct.get_column("a").to_pylist(), np_result.to_list())
+        )
+        is True
+    )
+
+
+def test_table_numeric_arcsinh() -> None:
+    table = MicroPartition.from_pydict({"a": [0.0, 1.0, 0.5, -0.5, -0.0, math.nan]})
+    s = table.to_pandas()["a"]
+    np_result = np.arcsinh(s)
+
+    arcs = table.eval_expression_list([col("a").arcsinh()])
+    assert (
+        all(
+            x - y < 1.0e-10 or (x is None and y is None) or (math.isnan(x) and math.isnan(y))
+            for x, y in zip(arcs.get_column("a").to_pylist(), np_result.to_list())
+        )
+        is True
+    )
+
+
+def test_table_numeric_arccosh() -> None:
+    table = MicroPartition.from_pydict({"a": [1.0, 2.0, 1.5, math.nan]})
+    s = table.to_pandas()["a"]
+    np_result = np.arccosh(s)
+
+    arcc = table.eval_expression_list([col("a").arccosh()])
+    assert (
+        all(
+            x - y < 1.0e-10 or (x is None and y is None) or (math.isnan(x) and math.isnan(y))
+            for x, y in zip(arcc.get_column("a").to_pylist(), np_result.to_list())
+        )
+        is True
+    )
+
+
 def test_table_numeric_round() -> None:
     from decimal import ROUND_HALF_UP, Decimal