fix: remove bad accessors for cylindrical pt/eta/phi vectors

src/coffea/nanoevents/methods/vector.py

@@ -513,90 +513,6 @@ class PtEtaPhiMLorentzVector(LorentzVector):
     Some additional properties are overridden for performance
     """
 
-    @property
-    def E(self):
-        """Alias for `t`"""
-        return self.t
-
-    @property
-    def pt(self):
-        """Alias for `r`"""
-        return self["pt"]
-
-    @property
-    def eta(self):
-        r"""Pseudorapidity
-
-        :math:`-\ln\tan(\theta/2) = \text{arcsinh}(z/r)`
-        """
-        return self["eta"]
-
-    @property
-    def phi(self):
-        r"""Azimuthal angle relative to X axis in XY plane
-
-        :math:`\text{arctan2}(y, x)`
-        """
-        return self["phi"]
-
-    @property
-    def mass(self):
-        r"""Invariant mass (+, -, -, -)
-
-        :math:`\sqrt{t^2-x^2-y^2-z^2}`
-        """
-        return self["mass"]
-
-    @property
-    def rho(self):
-        r"""Distance from origin in 3D
-
-        :math:`\sqrt{x^2+y^2+z^2} = \sqrt{r^2+z^2}`
-        """
-        return self.pt * numpy.cosh(self.eta)
-
-    @property
-    def theta(self):
-        r"""Inclination angle from XY plane
-
-        :math:`\text{arctan2}(r, z) = 2\text{arctan}(e^{-\eta})`
-        """
-        return 2 * numpy.arctan(numpy.exp(-self.eta))
-
-    @property
-    def r(self):
-        r"""Distance from origin in XY plane
-
-        :math:`\sqrt{x^2+y^2} = \rho \sin(\theta)`
-        """
-        return self.pt
-
-    @property
-    def z(self):
-        r"""Cartesian z value
-
-        :math:`\rho \cos(\theta) = r \sinh(\eta)`
-        """
-        return self.pt * numpy.sinh(self.eta)
-
-    @property
-    def t(self):
-        r"""Cartesian time component
-
-        :math:`\sqrt{\rho^2+m^2}`
-        """
-        return numpy.hypot(self.rho, self.mass)
-
-    @property
-    def rho2(self):
-        """Squared `rho`"""
-        return self.rho * self.rho
-
-    @property
-    def mass2(self):
-        """Squared `mass`"""
-        return self.mass * self.mass
-
     @awkward.mixin_class_method(numpy.multiply, {numbers.Number})
     def multiply(self, other):
         """Multiply this vector by a scalar elementwise using `x`, `y`, `z`, and `t` components
@@ -644,82 +560,6 @@ class PtEtaPhiELorentzVector(LorentzVector):
     Some additional properties are overridden for performance
     """
 
-    @property
-    def E(self):
-        """Alias for `t`"""
-        return self.t
-
-    @property
-    def pt(self):
-        """Alias for `r`"""
-        return self["pt"]
-
-    @property
-    def eta(self):
-        r"""Pseudorapidity
-
-        :math:`-\ln\tan(\theta/2) = \text{arcsinh}(z/r)`
-        """
-        return self["eta"]
-
-    @property
-    def phi(self):
-        r"""Azimuthal angle relative to X axis in XY plane
-
-        :math:`\text{arctan2}(y, x)`
-        """
-        return self["phi"]
-
-    @property
-    def energy(self):
-        """Alias for `t`"""
-        return self["energy"]
-
-    @property
-    def t(self):
-        r"""Cartesian time component
-
-        :math:`\sqrt{\rho^2+m^2}`
-        """
-        return self["energy"]
-
-    @property
-    def rho(self):
-        r"""Distance from origin in 3D
-
-        :math:`\sqrt{x^2+y^2+z^2} = \sqrt{r^2+z^2}`
-        """
-        return self.pt * numpy.cosh(self.eta)
-
-    @property
-    def theta(self):
-        r"""Inclination angle from XY plane
-
-        :math:`\text{arctan2}(r, z) = 2\text{arctan}(e^{-\eta})`
-        """
-        return 2 * numpy.arctan(numpy.exp(-self.eta))
-
-    @property
-    def r(self):
-        r"""Distance from origin in XY plane
-
-        :math:`\sqrt{x^2+y^2} = \rho \sin(\theta)`
-        """
-        return self.pt
-
-    @property
-    def z(self):
-        r"""Cartesian z value
-
-        :math:`r \sinh(\eta)`
-        """
-        return self.pt * numpy.sinh(self.eta)
-
-    @property
-    def rho2(self):
-        """Squared `rho`"""
-        return self.rho * self.rho
-
     @awkward.mixin_class_method(numpy.multiply, {numbers.Number})
     def multiply(self, other):
         """Multiply this vector by a scalar elementwise using `x`, `y`, `z`, and `t` components