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BasicFunctionsSJR.py
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BasicFunctionsSJR.py
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# Notes (about some frequently used BIF):
# np.hstack((m1,m2)): 合并两个矩阵,成(d, d1+d2)
# np.vstack((m1,m2)):合并两个矩阵, 成(d1+d2,d)
import os
import re
import pickle
import inspect
import numpy as np
import matplotlib.pyplot as mp
from termcolor import cprint, colored
from math import factorial
import struct
def info_contact():
"""Return the information of the contact"""
info = dict()
info['name'] = 'S.J. Ran'
info['email'] = '[email protected] ucas.ac.cn'
info['affiliation'] = 'ICFO – The Institute of Photonic Sciences'
return info
def save_pr(path, file, data, names):
"""
Save the data as a dict in a file located in the path
:param path: the location of the saved file
:param file: the name of the file
:param data: the data to be saved
:param names: the names of the data
Notes: 1. Conventionally, use the suffix \'.pr\'. 2. If the folder does not exist, system will
automatically create one. 3. use \'load_pr\' to load a .pr file
Example:
>>> x = 1
>>> y = 'good'
>>> save_pr('.\\test', 'ok.pr', [x, y], ['name1', 'name2'])
You have a file '.\\test\\ok.pr'
>>> z = load_pr('.\\test\\ok.pr')
z = {'name1': 1, 'name2': 'good'}
type(z) is dict
"""
mkdir(path)
# print(os.path.join(path, file))
s = open(os.path.join(path, file), 'wb')
tmp = dict()
for i in range(0, len(names)):
tmp[names[i]] = data[i]
pickle.dump(tmp, s)
s.close()
def load_pr(path_file, names=None):
"""
Load the file saved by save_pr as a dict from path
:param path_file: the path and name of the file
:param names: the specific names of the data you want to load
:return the file you loaded
Notes: the file you load should be a \'.pr\' file.
Example:
>>> x = 1
>>> y = 'good'
>>> z = [1, 2, 3]
>>> save_pr('.\\test', 'ok.pr', [x, y, z], ['name1', 'name2', 'name3'])
>>> A = load_pr('.\\test\\ok.pr')
A = {'name1': 1, 'name2': 'good'}
>>> y, z = load_pr('\\test\\ok.pr', ['y', 'z'])
y = 'good'
z = [1, 2, 3]
"""
if os.path.isfile(path_file):
s = open(path_file, 'rb')
if names is None:
data = pickle.load(s)
s.close()
return data
else:
tmp = pickle.load(s)
if type(names) is str:
data = tmp[names]
elif type(names) is list or type(names) is tuple:
nn = len(names)
data = list(range(0, nn))
for i in range(0, nn):
data[i] = tmp[names[i]]
s.close()
return tuple(data)
else:
return False
def mkdir(path):
"""
Create a folder at your path
:param path: the path of the folder you wish to create
:return: the path of folder being created
Notes: if the folder already exist, it will not create a new one.
"""
path = path.strip()
path = path.rstrip("\\")
path_flag = os.path.exists(path)
if not path_flag:
os.makedirs(path)
return path_flag
def search_file(path, exp):
content = os.listdir(path)
exp = re.compile(exp)
result = list()
for x in content:
if re.match(exp, x):
result.append(os.path.join(path, x))
return result
def output_txt(x, filename='data'):
np.savetxt(filename + '.txt', x)
def sort_list(a, order):
"""
Return the elements sorted in the given order
:param a: an iterable object
:param order: the order of elements you want to sort
:return: the new list contains only elements in the order
Example:
>>> a = [1, 2, 'a', 'b']
>>> order = [1,3]
>>> z = sort_list(a, order)
z = [2, 'b']
"""
return [a[i] for i in order]
def empty_list(n, content=None):
"""
Create a list of size n with elements as None or content
:param n: the size of list
:param content: the content of all elements
:return: a size n list with all elements are content
Example:
>>> z = empty_list(3)
z = [None, None, None]
>>> z = empty_list(4, 'a')
z = ['a', 'a', 'a', 'a']
"""
# make a empty list of size n
return [content for _ in range(0, n)]
def remove_element_from_list(x, element):
"""
Remove an element from a list
:param x: a list
:param element: an element to be removed
:return: a list without 'element'
Example:
>>>x = [1, 2, 3]
>>>print(arg_find_list(x, 3))
[1, 2]
"""
return list(filter(lambda a: a != element, x))
def arg_find_array(arg, n=1, which='first'):
"""
Find the position of positions of elements required
:param arg: requirement of the elements needed to fulfil
:param n: number of how many elements you need
:param which: the first n elements or last elements
:return: the position of elements you need
Notes: 1.arg should be boolean type, 2. if can't find n elements to suit your need, it will return all it can find
Example:
>>> x = np.array([-1, 2, -3])
>>> z = arg_find_array(x < 0, 1, 'last')
z = 2
"""
x = np.nonzero(arg)
length = x[0].size
if length == 0:
y = np.zeros(0)
else:
num = min(length, n)
dim = arg.ndim
if dim > 1 and (not (dim == 2 and arg.shape[1] == 1)):
y = np.zeros((dim, num), dtype=int)
if which == 'last':
for i in range(0, dim):
y[i, :] = x[i][length-num:length]
else:
for i in range(0, dim):
y[i, :] = x[i][:num]
else:
if which == 'last':
y = x[0][length - num:length]
else:
y = x[0][:num]
if n == 1:
y = y[0]
return y
def arg_find_list(x, target, n=1, which='first'):
"""
Find the position of target elements in list
:param x: a list
:param target: target element
:param n: how much elements needed to be find
:param which: first or last
:return: position
Example:
>>>x = [1, 2, 1, 3]
>>>print(arg_find_list(x, 3, which='last'))
[2]
"""
# x should be a list or tuple (of course '1D')
# for array or ndarray, please use arg_find_array
n_found = 0
n_start = 0
ind = list()
if which is 'last':
x = x[::-1]
for i in range(0, n):
try:
new_ind = x.index(target, n_start)
except ValueError:
break
else:
ind.append(new_ind)
n_found += 1
n_start = new_ind+1
if which is 'last':
length = x.__len__()
ind = [length - tmp - 1 for tmp in ind]
return ind
def sort_vecs(mat, order, which):
s = mat.shape
mat1 = np.zeros(s)
if which == 0: # sort as row vectors
for n in range(0, s[0]):
mat1[n, :] = mat[order[n], :]
else:
for n in range(0, s[1]):
mat1[:, n] = mat[:, order[n]]
return mat1
def arrangement(n, m):
return factorial(n) / factorial(n-m)
def combination(n, m):
return arrangement(n, m) / factorial(m)
def generate_indexes(ndim):
key0 = {'0', '1'}
key = set()
if ndim == 1:
return key0
else:
for x1 in key0:
for x2 in generate_indexes(ndim - 1):
key.add(x1 + x2)
return key
def get_z2_indexes(ndim, parity=0):
indexes_z2 = set()
indexes = generate_indexes(ndim)
for x in indexes:
x1 = [int(m) for m in x]
if sum(x1) % 2 == parity:
indexes_z2.add(x)
return indexes_z2
# ========================================
# MNIST functions
def decode_idx3_ubyte(idx3_ubyte_file):
"""
Downloaded from: https://blog.csdn.net/jiede1/article/details/77099326
解析idx3文件的通用函数
:param idx3_ubyte_file: idx3文件路径
:return: 数据集
"""
# 读取二进制数据
bin_data = open(idx3_ubyte_file, 'rb').read()
# 解析文件头信息,依次为魔数、图片数量、每张图片高、每张图片宽
offset = 0
fmt_header = '>iiii' #'>IIII'是说使用大端法读取4个unsinged int32
magic_number, num_images, num_rows, num_cols = struct.unpack_from(fmt_header, bin_data, offset)
# print('魔数:%d, 图片数量: %d张, 图片大小: %d*%d' % (magic_number, num_images, num_rows, num_cols))
# 解析数据集
image_size = num_rows * num_cols
offset += struct.calcsize(fmt_header)
# print("offset: ",offset)
fmt_image = '>' + str(image_size) + 'B' # '>784B'的意思就是用大端法读取784个unsigned byte
images = np.empty((num_images, num_rows*num_cols))
for i in range(num_images):
# if (i + 1) % 10000 == 0:
# print('已解析 %d' % (i + 1) + '张')
images[i] = np.array(struct.unpack_from(fmt_image, bin_data, offset)).reshape((num_rows*num_cols))
offset += struct.calcsize(fmt_image)
return images.T
def decode_idx1_ubyte(idx1_ubyte_file):
"""
Downloaded from: https://blog.csdn.net/jiede1/article/details/77099326
解析idx1文件的通用函数
:param idx1_ubyte_file: idx1文件路径
:return: 数据集
"""
# 读取二进制数据
bin_data = open(idx1_ubyte_file, 'rb').read()
# 解析文件头信息,依次为魔数和标签数
offset = 0
fmt_header = '>ii'
magic_number, num_images = struct.unpack_from(fmt_header, bin_data, offset)
# print('魔数:%d, 图片数量: %d张' % (magic_number, num_images))
# 解析数据集
offset += struct.calcsize(fmt_header)
fmt_image = '>B'
labels = np.empty(num_images)
for i in range(num_images):
# if (i + 1) % 10000 == 0:
# print('已解析 %d' % (i + 1) + '张')
labels[i] = struct.unpack_from(fmt_image, bin_data, offset)[0]
offset += struct.calcsize(fmt_image)
return labels
# =========================================
# Print or Check functions
def trace_stack(level0=2):
"""
Print the line and file name where this function is used
:param level0: previous level0 level in files
:return: previous level0 line and file name
Example
in fileA.py
>>> def fucntion1():
>>> print(trace_stack(2))
in fileB.py
if import fileA
>>> def function2():
>>> fileA.function1()
in fileC.py
if import fileB
>>> def function3():
>>> fileB.function2()
>>>function3()
in file_path\fileC.py at line 2
"""
# print the line and file name where this function is used
info = inspect.stack()
ns = info.__len__()
for ns in range(level0, ns):
cprint('in ' + str(info[ns][1]) + ' at line ' + str(info[ns][2]), 'green')
def print_dict(a, keys=None, welcome='', style_sep=': ', color='white', end='\n'):
"""
Print dictionary
:param a: dictionary
:param keys: names in dictionary
:param welcome: front words of dictionary
:param style_sep: separator
:param color: print in what color
:param end: how to end each line
:return: what need to be print
Example:
>>>A = {'name1': 1, 'name2': 'a'}
>>>print_dict(A, 'this is an example', '-')
this is an example
name1-1
name2-2
"""
express = welcome
if keys is None:
for n in a:
express += n + style_sep + str(a[n]) + end
else:
if type(keys) is str:
express += keys.capitalize() + style_sep + str(a[keys])
else:
for n in keys:
express += n.capitalize() + style_sep + str(a[n])
if n is not keys[-1]:
express += end
cprint(express, color)
return express
def print_error(string, if_trace_stack=True):
"""
Print an error
:param string: error information
:param if_trace_stack: if need to print file name and line
Example:
>>>print_error('error: this is an example', 0)
error: this is an example
"""
cprint(string, 'magenta')
if if_trace_stack:
trace_stack(3)
def print_sep(info='', style='=', length=40, color='cyan'):
"""
Print a separator
:param info: information
:param style: separator type
:param length: total length
:param color: color
Example:
>>>print_sep('This is an example', '@', '20')
@@@@@@@@@@ This is an example @@@@@@@@@@
"""
if info == '':
cprint(style * (length * 2), color)
else:
l_info = info.__len__()
l_new = length * 2 - 2 - l_info
dl = l_new % 2
l_new = int(l_new/2)
l_new = max(l_new, 0)
mes = style*max(l_new, 0) + ' ' + info + ' ' + style*((l_new + dl)*(l_new > 0))
cprint(mes, color)
def print_options(options, start=None, welcome='', style_sep=': ', end=' ', color='cyan', quote=None):
"""
Print the options
:param options: possible options
:param start: options count start with
:param welcome: explaining of options
:param style_sep: separator between counts and options
:param end: end
:param color: color
Example:
>>>a = ['left', 'right']
>>>print_options(a, [1, 2], 'Where to go:')
Where to go:1: left 2: right
"""
message = welcome
length = len(options)
if start is None:
start = list(range(0, options.__len__()))
for i in range(0, length):
if quote is None:
message += colored(str(start[i]) + style_sep + options[i], color)
elif type(quote) is str:
message += colored(str(start[i]) + style_sep + quote + options[i] + quote, color)
if i < length-1:
message += end
print(message)
def input_and_check_type(right_type, name, print_result=True, dict_name='para'):
"""
Input and check input type
:param right_type: allowed types for input
:param name: name of input
:param print_result: if print out the input
:param dict_name: dictionary of input belongs to
:return: input
Example:
>>>input_and_check_type(int, 'number',True, 'input')
Please input the value of number:
>>> a
number should be int, please input again:
>>> 2
You have set input 'number' = 2
"""
# right_type should be a tuple
ok = False
some_error = True
while some_error:
try:
while not ok:
value = eval(input('Please input the value of ' + name + ': '))
if isinstance(value, right_type):
ok = True
else:
print(name + ' should be ' + str(right_type) + ', please input again.')
some_error = False
except (NameError, ValueError, SyntaxError):
cprint('The input is illegal, please input again ...', 'magenta')
if print_result:
print('You have set ' + colored(dict_name + '[\'' + name + '\'] = ' + str(value), 'cyan'))
return value
def input_and_check_value(right_value, values_str, names='', dict_name=''):
"""
Input and check the value of input
:param right_value: allowed values of input
:param values_str: describe of input
:param names: name of input
:param dict_name: dictionary name of input
:param start_ind: start with 1
:return: input
Example:
>>>input_and_check_value([1, 2, 3], ('one', 'two', 'three'), names='Example', dict_name='Only an')
Please input your choice:
>>> 2
You have set Only an['Example'] = 'two'
"""
# right_value should be an array
ok = False
some_error = True
while some_error:
try:
while not ok:
value = eval(input('Please input your choice: '))
if value in right_value:
ok = True
else:
print('Input should be ' + colored(str(right_value), 'cyan') + ', please input again: ')
some_error = False
except (NameError, ValueError, SyntaxError):
cprint('The input is illegal, please input again ...', 'magenta')
ind = right_value.index(value)
print('You have set ' + colored(dict_name + '[\'' + names + '\'] = \'' + str(values_str[ind]) + '\'', 'cyan'))
return value
def check_condition(x, cond):
"""
check if x satisfied condition
:param x: a variable
:param cond: a function that return boolean variable
:return: true or false
Example:
>>>y = check_condition(3, lambda x: x > 0)
>>> print(y)
True
"""
from inspect import isfunction
if not isfunction(cond):
return False
try:
return cond(x)
except (TypeError, IndexError, ValueError):
cprint('Wrong input in check_condition')
return False
def input_and_check_type_multiple_items(right_type0, cond=None, name='your terms', max_len=100,
key_stop=-1, key_clear=-3, is_print=False):
"""
Input multiple items and check type
:param right_type0: allowed input type
:param cond: condition of input
:param name: name of input
:param max_len: maximal number inputs
:param key_stop: keyword to end inputs
:param key_clear: keyword to clean all inputs
:param is_print: if print your inputs
:return: all inputs
Example:
>>>y = input_and_check_type_multiple_items(int, lambda x: x > 0, 'int',key_stop='stop', key_clear='clean')
Please input the value of int:
>>> 2
Please input the value of int:
>>> -1
The input is invalid since it does not satisfy the condition
Please input the value of int:
>>> 3
Please input the value of int:
>>>'stop'
You input the key to stop. Input completed.
>>> print(y)
{2, 3}
"""
# cond(inout) is True or False, a function to judge if the input is satisfactory
if is_print:
cprint('To finish inputting, input -1', 'cyan')
cprint('To clear all the inputs and start over, input -3', 'cyan')
output = set()
# add the type of the key_stop in the tuple of the right types
if type(right_type0) is type:
right_type = {right_type0, type(key_stop), type(key_clear)}
else:
if type(right_type0) is tuple:
right_type0 = set(right_type0)
right_type = right_type0 | {type(key_stop), type(key_clear)}
right_type = tuple(right_type)
not_stop = True
while not_stop:
new = input_and_check_type(right_type, name, False)
if new == key_stop:
cprint('You input the key to stop. Input completed.', 'cyan')
not_stop = False
elif new == key_clear:
output.clear()
cprint('You have cleared all the inputs.', 'cyan')
elif (cond is not None) and (not check_condition(new, cond)):
cprint('The input is invalid since it does not satisfy the condition', 'magenta')
elif not isinstance(new, right_type0):
if is_print:
cprint('This input is invalid since its type is incorrect (should be %s or stop key)'
% str(right_type0), 'magenta')
elif new in output:
if is_print:
cprint('This input is invalid since it already exists', 'magenta')
else:
output.add(new)
if output.__len__() > max_len:
cprint('Number if items exceeds the maximum. Stop the input', 'magenta')
not_stop = False
return output
# =========================================
# Plot functions
def plot_square_lattice(width, height, numbered=False, title='', save_path=None):
"""
Plot a figure of square lattice
:param width: width of the square lattice
:param height: height of the square lattice
:param numbered: if show each each lattice dot a number
:param title: title of the figure
:param save_path: if save the figure
Example:
>>>plot_square_lattice(2, 2)
show a figure of a 2x2 square lattice
"""
from HamiltonianModule import positions_nearest_neighbor_square
pos_1d = np.arange(0, width*height, dtype=int).reshape(height, width)
index = positions_nearest_neighbor_square(width, height)
for n in range(0, index.shape[0]):
pos1 = arg_find_array(pos_1d == index[n, 0])
pos2 = arg_find_array(pos_1d == index[n, 1])
mp.plot([pos1[0], pos2[0]], [pos1[1], pos2[1]], '-ob', markersize=8)
mp.axis('equal')
if numbered:
for w in range(0, width):
for h in range(0, height):
mp.text(h+0.06, w-0.06, str(pos_1d[h, w]), horizontalalignment='left',
verticalalignment='top', fontsize=15)
mp.axis('off')
mp.title(title)
if save_path is not None:
mkdir(save_path)
mp.savefig(os.path.join(save_path, 'square(%d,%d).png' % (width, height)))
mp.show()
def plot_connections_polar(positions, numbered=False, title='', save_path=None):
"""
Plot a figure of points on polar coordinate with connections
:param positions: position of points
:param numbered: if show each each lattice dot a number
:param title: title of the figure
:param save_path: if save the figure
Example:
>>>x = np.array([[1, 3], [1, 4], [2, 4]])
>>>plot_connections_polar(x, True)
plot a figure with [1, 3] are connected, [1, 4] are connected, [2, 4] are connected
"""
nb = positions.shape[0]
ax = mp.subplot(111, projection='polar')
n_site = np.max(positions) + 1
theta = np.linspace(0, 2*np.pi, n_site+1)
x1 = np.zeros((nb, 1))
x2 = np.zeros((nb, 1))
for n in range(0, nb):
x1[n] = theta[positions[n, 0]]
x2[n] = theta[positions[n, 1]]
ax.plot([x1[n], x2[n]], [1, 1], '-ob')
if numbered:
for n in range(0, n_site):
mp.text(theta[n]+0.05, 1.1, str(n), horizontalalignment='center',
verticalalignment='top', fontsize=15)
mp.axis('off')
mp.title(title)
if type(save_path) is str:
mkdir(save_path)
mp.savefig(os.path.join(save_path, 'arbitrary.png'))
mp.show()