From 20defefd01a044060f1104d4df332ef264021638 Mon Sep 17 00:00:00 2001
From: Jan Kaiser <jan.kaiser.email@googlemail.com>
Date: Tue, 12 Sep 2023 21:38:29 +0200
Subject: [PATCH] Revert "Add properties via pydantic"

This reverts commit 7204199592b351f83aac06c5d826646826b15f45.
---
 cheetah/accelerator.py | 55 ++----------------------------------------
 setup.py               |  2 +-
 2 files changed, 3 insertions(+), 54 deletions(-)

diff --git a/cheetah/accelerator.py b/cheetah/accelerator.py
index 637f4053..ff699be4 100644
--- a/cheetah/accelerator.py
+++ b/cheetah/accelerator.py
@@ -6,7 +6,6 @@
 import matplotlib
 import matplotlib.pyplot as plt
 import numpy as np
-import pydantic
 import torch
 from matplotlib.patches import Rectangle
 from scipy import constants
@@ -28,7 +27,7 @@
 )
 
 
-class Element(ABC, pydantic.BaseModel):
+class Element(ABC):
     """
     Base class for elements of particle accelerators.
 
@@ -37,10 +36,7 @@ class Element(ABC, pydantic.BaseModel):
         CUDA GPU is selected if available. The CPU is used otherwise.
     """
 
-    name: str = "unnamed"
-    device: torch.device
-
-    def __init__(self, name: str = "unnamed", device: str = "auto") -> None:
+    def __init__(self, name: Optional[str] = None, device: str = "auto") -> None:
         self.name = name
 
         if device == "auto":
@@ -172,8 +168,6 @@ class Drift(Element):
         CUDA GPU is selected if available. The CPU is used otherwise.
     """
 
-    length: torch.Tensor
-
     def __init__(
         self, length: torch.Tensor, name: Optional[str] = None, device: str = "auto"
     ) -> None:
@@ -240,11 +234,6 @@ class Quadrupole(Element):
         CUDA GPU is selected if available. The CPU is used otherwise.
     """
 
-    length: torch.Tensor
-    k1: torch.Tensor = torch.tensor(0.0)
-    misalignment: torch.Tensor = torch.tensor([0.0, 0.0])
-    tilt: torch.Tensor = torch.tensor(0.0)
-
     def __init__(
         self,
         length: torch.Tensor,
@@ -341,15 +330,6 @@ class Dipole(Element):
         CUDA GPU is selected if available. The CPU is used otherwise.
     """
 
-    length: torch.Tensor
-    angle: torch.Tensor = torch.tensor(0.0)
-    e1: torch.Tensor = torch.tensor(0.0)
-    e2: torch.Tensor = torch.tensor(0.0)
-    tilt: torch.Tensor = torch.tensor(0.0)
-    fringe_integral: torch.Tensor = torch.tensor(0.0)
-    fringe_integral_exit: Optional[torch.Tensor] = None
-    gap: torch.Tensor = torch.tensor(0.0)
-
     def __init__(
         self,
         length: torch.Tensor,
@@ -580,9 +560,6 @@ class HorizontalCorrector(Element):
         CUDA GPU is selected if available. The CPU is used otherwise.
     """
 
-    length: torch.Tensor
-    angle: torch.Tensor = torch.tensor(0.0)
-
     def __init__(
         self,
         length: torch.Tensor,
@@ -663,9 +640,6 @@ class VerticalCorrector(Element):
         CUDA GPU is selected if available. The CPU is used otherwise.
     """
 
-    length: torch.Tensor
-    angle: torch.Tensor = torch.tensor(0.0)
-
     def __init__(
         self,
         length: torch.Tensor,
@@ -748,11 +722,6 @@ class Cavity(Element):
         CUDA GPU is selected if available. The CPU is used otherwise.
     """
 
-    length: torch.Tensor
-    voltage: torch.Tensor = torch.tensor(0.0)
-    phase: torch.Tensor = torch.tensor(0.0)
-    frequency: torch.Tensor = torch.tensor(0.0)
-
     def __init__(
         self,
         length: torch.Tensor,
@@ -1156,12 +1125,6 @@ class Screen(Element):
         CUDA GPU is selected if available. The CPU is used otherwise.
     """
 
-    resolution: torch.Tensor = torch.tensor((1024, 1024))
-    pixel_size: torch.Tensor = torch.tensor((1e-3, 1e-3))
-    binning: torch.Tensor = torch.tensor(1)
-    misalignment: torch.Tensor = torch.tensor((0.0, 0.0))
-    is_active: bool = False
-
     def __init__(
         self,
         resolution: torch.Tensor = torch.tensor((1024, 1024)),
@@ -1342,11 +1305,6 @@ class Aperture(Element):
         CUDA GPU is selected if available. The CPU is used otherwise.
     """
 
-    x_max: torch.Tensor = torch.inf
-    y_max: torch.Tensor = torch.inf
-    shape: Literal["rectangular", "elliptical"] = "rectangular"
-    is_active: bool = True
-
     def __init__(
         self,
         x_max: torch.Tensor = torch.inf,
@@ -1451,9 +1409,6 @@ class Undulator(Element):
         CUDA GPU is selected if available. The CPU is used otherwise.
     """
 
-    length: torch.Tensor
-    is_active: bool = False
-
     def __init__(
         self,
         length: torch.Tensor,
@@ -1530,10 +1485,6 @@ class Solenoid(Element):
         CUDA GPU is selected if available. The CPU is used otherwise.
     """
 
-    length: torch.Tensor
-    k: torch.Tensor = torch.tensor(0.0)
-    misalignment: torch.Tensor = torch.tensor((0.0, 0.0))
-
     def __init__(
         self,
         length: torch.Tensor = torch.tensor(0.0),
@@ -1625,8 +1576,6 @@ class Segment(Element):
         CUDA GPU is selected if available. The CPU is used otherwise.
     """
 
-    elements: list[Element]
-
     def __init__(
         self, cell: list[Element], name: str = "unnamed", device: str = "auto"
     ) -> None:
diff --git a/setup.py b/setup.py
index afa50c06..9fa173f3 100644
--- a/setup.py
+++ b/setup.py
@@ -19,5 +19,5 @@
     long_description_content_type="text/markdown",
     packages=["cheetah"],
     python_requires=">=3.9",
-    install_requires=["matplotlib", "numpy", "pydantic", "scipy", "torch"],
+    install_requires=["matplotlib", "numpy", "scipy", "torch"],
 )