py.guanjihuan.com/PyPI/src/guan/functions_using_objects_of_custom_classes.py
2025-03-23 20:42:10 +08:00

79 lines
2.7 KiB
Python

# Module: functions_using_objects_of_custom_classes
# 将原子对象列表转成多个独立列表
def convert_atom_object_list_to_multiple_lists(atom_object_list):
name_list = []
index_list = []
x_list = []
y_list = []
z_list = []
energy_list = []
for atom_object in atom_object_list:
name_list.append(atom_object.name)
index_list.append(atom_object.index)
x_list.append(atom_object.x)
y_list.append(atom_object.y)
z_list.append(atom_object.z)
energy_list.append(atom_object.energy)
return name_list, index_list, x_list, y_list, z_list, energy_list
# 将原子对象列表转成原子字典列表
def convert_atom_object_list_to_atom_dict_list(atom_object_list):
atom_dict_list = []
for atom_object in atom_object_list:
atom_dict = {
'name': atom_object.name,
'index': atom_object.index,
'x': atom_object.x,
'y': atom_object.y,
'z': atom_object.z,
'energy': atom_object.energy,
}
atom_dict_list.append(atom_dict)
return atom_dict_list
# 从原子对象列表中获取 (x, y) 坐标数组
def get_coordinate_array_from_atom_object_list(atom_object_list):
coordinate_array = []
for atom in atom_object_list:
x = atom.x
y = atom.y
coordinate_array.append([x, y])
return coordinate_array
# 从原子对象列表中获取 x 和 y 的最大值和最小值
def get_max_min_x_y_from_atom_object_list(atom_object_list):
import guan
coordinate_array = guan.get_coordinate_array_from_atom_object_list(atom_object_list)
x_array = []
for coordinate in coordinate_array:
x_array.append(coordinate[0])
y_array = []
for coordinate in coordinate_array:
y_array.append(coordinate[1])
max_x = max(x_array)
min_x = min(x_array)
max_y = max(y_array)
min_y = min(y_array)
return max_x, min_x, max_y, min_y
# 从原子对象列表中获取满足坐标条件的索引
def get_index_via_coordinate_from_atom_object_list(atom_object_list, x=0, y=0, z=0, eta=1e-3):
for atom in atom_object_list:
x_i = atom.x
y_i = atom.y
z_i = atom.z
index = atom.index
if abs(x-x_i)<eta and abs(y-y_i)<eta and abs(z-z_i)<eta:
return index
# 根据原子对象列表来初始化哈密顿量
def initialize_hamiltonian_from_atom_object_list(atom_object_list):
import numpy as np
import guan
dim = guan.dimension_of_array(atom_object_list[0].energy)
num = len(atom_object_list)
hamiltonian = np.zeros((dim*num, dim*num))
for i0 in range(num):
hamiltonian[i0*dim+0:i0*dim+dim, i0*dim+0:i0*dim+dim] = atom_object_list[i0].energy
return hamiltonian