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functions.py
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functions.py
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# -*- coding: utf-8 -*-
"""Pyrgg functions module."""
import datetime
import json
import os
import pickle
import random
import textwrap
import yaml
from pyrgg.params import (
MENU_ITEMS1,
MENU_ITEMS2,
PYRGG_LINKS,
PYRGG_DESCRIPTION,
PYRGG_FILE_ERROR_MESSAGE,
PYRGG_INPUT_ERROR_MESSAGE,
PYRGG_LOGGER_ERROR_MESSAGE,
PYRGG_LOGGER_TEMPLATE,
SUFFIX_MENU,
)
# random_system=random.SystemRandom()
random_system = random
def is_weighted(max_weight, min_weight, signed):
"""
Check the graph is weighted or not.
:param max_weight: maximum weight
:type max_weight: int
:param min_weight: minimum weight
:type min_weight: int
:param signed: weight sign flag
:type signed: bool
:return: result as bool
"""
if max_weight == min_weight and min_weight == 0:
return False
if max_weight == min_weight and min_weight == 1 and not signed:
return False
return True
def get_precision(input_number):
"""
Return precision of input number.
:param input_number: input number
:type input_number: float
:return: precision as int
"""
try:
number_str = str(input_number)
_, decimalpart = number_str.split(".")
return len(decimalpart)
except Exception:
return 0
def is_float(input_number):
"""
Check input for float conversion.
:param input_number: input number
:type input_number: float or int
:return: result as bool
"""
try:
_, decimalpart = divmod(float(input_number), 1)
except TypeError:
return False
else:
return True if decimalpart else False
def convert_str_to_number(string):
"""
Convert string to float or int.
:param string: input string
:type string: str
:return: float or int
"""
return float(string) if is_float(string) else int(string)
def convert_str_to_bool(string):
"""
Convert 0/1 string to bool.
:param string: input string
:type string: str
:return: bool
"""
return bool(int(string))
MENU_ITEM_CONVERTORS = {
"file_name": lambda x: x,
"output_format": int,
"weight": convert_str_to_bool,
"vertices": int,
"number_of_files": int,
"max_weight": convert_str_to_number,
"min_weight": convert_str_to_number,
"min_edge": int,
"max_edge": int,
"sign": convert_str_to_bool,
"direct": convert_str_to_bool,
"self_loop": convert_str_to_bool,
"multigraph": convert_str_to_bool,
}
def description_print():
"""
Print justified description for overview in console.
:return: None
"""
print(PYRGG_LINKS)
line(40)
print("\n")
print(textwrap.fill(PYRGG_DESCRIPTION, width=100))
print("\n")
line(40)
def line(num=11, char="#"):
"""
Print line of char.
:param num: number of character in this line
:type num : int
:param char: character
:type char : str
:return: None
"""
print(char * num)
def convert_bytes(num):
"""
Convert num to idiomatic byte unit.
:param num: the input number.
:type num: int
:return: str
"""
for x in ['bytes', 'KB', 'MB', 'GB', 'TB']:
if num < 1024.0:
return "%3.1f %s" % (num, x)
num /= 1024.0
def filesize(fileaddr): # pragma: no cover
"""
Calculate output file size.
:param fileaddr: file addresses
:type fileaddr: str
:return: file size for print as string
"""
file_info = os.stat(fileaddr)
file_size = file_info.st_size
print("Graph File Size : " + convert_bytes(file_size))
def logger(
file_name,
vertices_number,
edge_number,
max_edge,
min_edge,
directed,
signed,
multigraph,
self_loop,
max_weight,
min_weight,
elapsed_time):
"""
Save generated graphs log.
:param file_name: file name
:type file_name: str
:param vertices_number: number of vertices
:type vertices_number:int
:param edge_number: number of edges
:type edge_number: int
:param max_edge: maximum number of edges
:type max_edge: int
:param min_edge: minimum number of edges
:type min_edge: int
:param directed: directed
:type directed: int
:param signed: weight sign flag
:type signed: int
:param multigraph: multigraph flag
:type multigraph: int
:param self_loop: self loop flag
:type self_loop: int
:param max_weight: maximum weight
:type max_weight: int
:param min_weight: minimum weight
:type min_weight: int
:param elapsed_time: elapsed time
:type elapsed_time : str
:return: None
"""
try:
with open("logfile.log", "a") as file:
file.write(PYRGG_LOGGER_TEMPLATE.format(datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S'),
file_name,
str(vertices_number),
str(edge_number),
str(max_edge),
str(min_edge),
str(bool(directed)),
str(bool(signed)),
str(bool(multigraph)),
str(bool(self_loop)),
str(is_weighted(max_weight,
min_weight,
bool(signed))),
str(max_weight),
str(min_weight),
elapsed_time))
except Exception:
print(PYRGG_LOGGER_ERROR_MESSAGE)
def time_convert(input_time):
"""
Convert input_time from sec to DD,HH,MM,SS format.
:param input_time: input time in sec
:type input_time: float
:return: converted time as str
"""
postfix_dict = {"s": "second", "d": "day", "h": "hour", "m": "minute"}
value_dict = {"s": 0, "d": 0, "h": 0, "m": 0}
value_dict["s"] = float(input_time)
value_dict["d"], value_dict["s"] = divmod(value_dict["s"], 24 * 3600)
value_dict["h"], value_dict["s"] = divmod(value_dict["s"], 3600)
value_dict["m"], value_dict["s"] = divmod(value_dict["s"], 60)
for i in postfix_dict.keys():
if value_dict[i] != 1:
postfix_dict[i] += "s"
return ", ".join([
"{0:02.0f} {1}".format(value_dict["d"], postfix_dict["d"]),
"{0:02.0f} {1}".format(value_dict["h"], postfix_dict["h"]),
"{0:02.0f} {1}".format(value_dict["m"], postfix_dict["m"]),
"{0:02.0f} {1}".format(value_dict["s"], postfix_dict["s"]),
])
def input_filter(input_dict):
"""
Filter input data.
:param input_dict: input dictionary
:type input_dict: dict
:return: filtered data as dict
"""
filtered_dict = input_dict.copy()
edge_upper_threshold = filtered_dict["vertices"]
for key in ["min_edge", "max_edge", "vertices"]:
if filtered_dict[key] < 0:
filtered_dict[key] *= -1
if filtered_dict["min_weight"] > filtered_dict["max_weight"]:
filtered_dict["min_weight"], filtered_dict["max_weight"] = (
filtered_dict["max_weight"], filtered_dict["min_weight"]
)
if filtered_dict["min_edge"] > filtered_dict["max_edge"]:
filtered_dict["min_edge"], filtered_dict["max_edge"] = (
filtered_dict["max_edge"], filtered_dict["min_edge"]
)
if not filtered_dict["self_loop"]:
edge_upper_threshold -= 1
if filtered_dict["output_format"] not in list(
range(1, len(SUFFIX_MENU) + 1)):
filtered_dict["output_format"] = 1
if not filtered_dict["multigraph"]:
for key in ["min_edge", "max_edge"]:
filtered_dict[key] = min(filtered_dict[key], edge_upper_threshold)
filtered_dict["number_of_files"] = max(1, filtered_dict["number_of_files"])
return filtered_dict
def get_input(input_func=input):
"""
Get input from user and return as dictionary.
:param input_func : input function
:type input_func : function object
:return: inputs as dict
"""
result_dict = {
"file_name": "",
"number_of_files": 1,
"vertices": 0,
"max_weight": 1,
"min_weight": 1,
"min_edge": 0,
"max_edge": 0,
"sign": True,
"output_format": 1,
"weight": True,
"direct": True,
"self_loop": True,
"multigraph": False,
}
result_dict = _update_using_first_menu(result_dict, input_func)
result_dict = _update_using_second_menu(result_dict, input_func)
return input_filter(result_dict)
def _update_using_first_menu(result_dict, input_func):
"""
Update result_dict using user input from the first menu.
:param result_dict: result data
:type result_dict: dict
:param input_func : input function
:type input_func : function object
:return: result_dict as dict
"""
MENU_ITEMS_KEYS1 = sorted(list(MENU_ITEMS1.keys()))
for item in MENU_ITEMS_KEYS1:
while True:
try:
result_dict[item] = MENU_ITEM_CONVERTORS[item](
input_func(MENU_ITEMS1[item])
)
except Exception:
print(PYRGG_INPUT_ERROR_MESSAGE)
else:
break
return result_dict
def _update_using_second_menu(result_dict, input_func):
"""
Update result_dict using user input from the second menu.
:param result_dict: result data
:type result_dict: dict
:param input_func : input function
:type input_func : function object
:return: result_dict as dict
"""
MENU_ITEMS_KEYS2 = sorted(list(MENU_ITEMS2.keys()))
for item in MENU_ITEMS_KEYS2:
if not result_dict["weight"] and item in ["max_weight", "min_weight"]:
continue
while True:
try:
result_dict[item] = MENU_ITEM_CONVERTORS[item](
input_func(MENU_ITEMS2[item])
)
except Exception:
print(PYRGG_INPUT_ERROR_MESSAGE)
else:
break
return result_dict
def _threshold_calc(random_edge, max_edge, vertex_degree):
"""
Calculate threshold for branch_gen function.
:param random_edge: number of vertex edges
:type random_edge: int
:param max_edge : maximum edge number
:type max_edge : int
:param vertex_degree: vertex degree
:type vertex_degree: int
:return: threshold as int
"""
threshold = min(random_edge, abs(max_edge - vertex_degree))
return threshold
def sign_gen():
"""
Return random sign.
:return: 1 or -1
"""
flag = random_system.randint(0, 1)
if flag == 0:
return 1
return -1
def random_edge_limits(vertex_index, min_edge, max_edge, degree_dict):
"""
Calculate random_edge parameter limits.
:param vertex_index: vertex index
:type vertex_index: int
:param min_edge: minimum edge number
:type min_edge: int
:param max_edge : maximum edge number
:type max_edge : int
:param degree_dict: all vertices degree
:type degree_dict: dict
:return: status,lower_limit,upper_limit
"""
lower_limit = 0
status = False
vertex_degree = degree_dict[vertex_index]
upper_limit = max_edge - vertex_degree
if vertex_degree < min_edge:
lower_limit = min_edge - vertex_degree
if upper_limit > lower_limit:
status = True
return status, lower_limit, upper_limit
def branch_gen(
vertex_index,
max_edge,
random_edge,
min_weight,
max_weight,
sign,
direct,
self_loop,
multigraph,
used_vertices,
degree_dict,
degree_sort_dict):
"""
Generate branch and weight vector of each vertex.
:param vertex_index: origin vertex index
:type vertex_index: int
:param max_edge : maximum edge number
:type max_edge : int
:param random_edge: number of vertex edges
:type random_edge: int
:param min_weight: weight min range
:type min_weight: int
:param max_weight: weight max range
:type max_weight: int
:param sign: weight sign flag
:type sign: bool
:param direct: directed and undirected graph flag
:type direct: bool
:param self_loop: self loop flag
:type self_loop: bool
:param multigraph: multigraph flag
:type multigraph: bool
:param used_vertices: used vertices dictionary
:type used_vertices: dict
:param degree_dict: all vertices degree
:type degree_dict: dict
:param degree_sort_dict: degree to vertices list
:type degree_sort_dict: dict
:return: branch and weight list
"""
index = 0
branch_list = []
weight_list = []
reference_vertices = []
max_weight_flag = is_float(max_weight)
min_weight_flag = is_float(min_weight)
weight_float_flag = min_weight_flag or max_weight_flag
random_unit = random_system.randint
vertex_degree = degree_dict[vertex_index]
threshold = _threshold_calc(
random_edge=random_edge,
max_edge=max_edge,
vertex_degree=vertex_degree)
for i in range(max_edge + 1):
reference_vertices.extend(list(degree_sort_dict[i].values()))
if len(reference_vertices) >= threshold:
break
weight_precision = max(
get_precision(max_weight),
get_precision(min_weight))
if weight_float_flag:
random_unit = random_system.uniform
if not direct and (
vertex_index in used_vertices.keys()) and not multigraph:
reference_vertices = list(
set(reference_vertices) - set(used_vertices[vertex_index]))
if not self_loop and vertex_index in reference_vertices:
reference_vertices.remove(vertex_index)
reference_vertices.sort()
while (index < threshold):
vertex_degree = degree_dict[vertex_index]
if vertex_degree >= max_edge:
break
if len(reference_vertices) == 0:
break
random_tail_index = random_system.choice(
range(len(reference_vertices)))
random_tail = reference_vertices[random_tail_index]
random_tail_degree = degree_dict[random_tail]
if random_tail_degree >= max_edge or (
random_tail == vertex_index and random_tail_degree >= (
max_edge - 1)):
reference_vertices.pop(random_tail_index)
continue
if not direct:
if random_tail in used_vertices.keys():
used_vertices[random_tail].append(vertex_index)
else:
used_vertices[random_tail] = [vertex_index]
if sign:
random_weight = sign_gen() * random_unit(min_weight, max_weight)
else:
random_weight = random_unit(min_weight, max_weight)
if weight_float_flag:
random_weight = round(random_weight, weight_precision)
branch_list.append(random_tail)
weight_list.append(random_weight)
index += 1
del degree_sort_dict[vertex_degree][vertex_index]
if random_tail != vertex_index:
del degree_sort_dict[random_tail_degree][random_tail]
degree_dict[random_tail] += 1
degree_dict[vertex_index] += 1
degree_sort_dict[degree_dict[vertex_index]
][vertex_index] = vertex_index
if random_tail != vertex_index:
degree_sort_dict[degree_dict[random_tail]
][random_tail] = random_tail
if not multigraph:
reference_vertices.pop(random_tail_index)
return [branch_list, weight_list]
def edge_gen(
vertices_number,
min_weight,
max_weight,
min_edge,
max_edge,
sign,
direct,
self_loop,
multigraph):
"""
Generate each vertex connection number.
:param vertices_number: number of vertices
:type vertices_number: int
:param min_weight: weight min range
:type min_weight: int
:param max_weight: weight max range
:type max_weight: int
:param min_edge : minimum edge number
:type min_edge : int
:param max_edge : maximum edge number
:type max_edge : int
:param sign: weight sign flag
:type sign: bool
:param direct: directed and undirected graph flag
:type direct: bool
:param self_loop: self loop flag
:type self_loop: bool
:param multigraph: multigraph flag
:type multigraph: bool
:return: list of dicts
"""
temp = 0
vertices_id = list(range(1, vertices_number + 1))
vertices_edge = []
weight_list = []
used_vertices = {}
degree_dict = {i: 0 for i in vertices_id}
degree_sort_dict = {i: {} for i in range(max_edge + 1)}
degree_sort_dict[0] = {i: i for i in vertices_id}
random_edge = min_edge
for i in vertices_id:
status, lower_limit, upper_limit = random_edge_limits(
i, min_edge, max_edge, degree_dict)
if status:
random_edge = random_system.randint(lower_limit, upper_limit)
temp_list = branch_gen(
i,
max_edge,
random_edge,
min_weight,
max_weight,
sign,
direct,
self_loop,
multigraph,
used_vertices,
degree_dict,
degree_sort_dict)
vertices_edge.append(temp_list[0])
weight_list.append(temp_list[1])
temp = temp + len(temp_list[0])
return [dict(zip(vertices_id, vertices_edge)),
dict(zip(vertices_id, weight_list)), temp]
def json_to_yaml(filename):
"""
Convert json file to yaml file.
:param filename: filename
:type filename: str
:return: None
"""
try:
with open(filename + ".json", "r") as json_file:
json_data = json.loads(json_file.read())
with open(filename + ".yaml", "w") as yaml_file:
yaml.safe_dump(json_data, yaml_file, default_flow_style=False)
except FileNotFoundError:
print(PYRGG_FILE_ERROR_MESSAGE)
def json_to_pickle(filename):
"""
Convert json file to pickle file.
:param filename: filename
:type filename: str
:return: None
"""
try:
with open(filename + ".json", "r") as json_file:
json_data = json.loads(json_file.read())
with open(filename + ".p", "wb") as pickle_file:
pickle.dump(json_data, pickle_file)
except FileNotFoundError:
print(PYRGG_FILE_ERROR_MESSAGE)