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# -*- coding: utf-8 -*-
"""PyRGG params."""
from textwrap import dedent, fill
import os
os.environ["PYRGG_TEST_MODE"] = "0"
MENU_ITEMS = {
1: ["engine", dedent(
"""\
- Select generation engine :
1- PyRGG
2- Erdos-Renyi-Gilbert - G(n, p)
3- Erdos-Renyi - G(n, m)
"""
)],
2: ["file_name", "- File Name (Not Empty) : "],
3: ["number_of_files", "- Number of Files (>=0) : "],
4: ["output_format", dedent(
"""\
- Graph Formats :
1- DIMACS(.gr)
2- JSON(.json)
3- CSV(.csv)
4- YAML(.yaml)
5- WEL(.wel)
6- ASP(.lp)
7- Pickle(.p)
8- UCINET DL(.dl)
9- TGF(.tgf)
10- TSV(.tsv)
11- Matrix Market(.mtx)
12- Graph Line(.gl)
13- GDF(.gdf)
14- GML(.gml)
15- GEXF(.gexf)
16- DOT(.gv)
"""
)],
5: ["config", "- Save Config[1] or Not[0]"],
}
SUFFIX_MENU = {
1: ".gr",
2: ".json",
3: ".csv",
4: ".yaml",
5: ".wel",
6: ".lp",
7: ".p",
8: ".dl",
9: ".tgf",
10: ".tsv",
11: ".mtx",
12: ".gl",
13: ".gdf",
14: ".gml",
15: ".gexf",
16: ".gv"
}
ENGINE_MENU = {
1: "pyrgg",
2: "erg",
3: "er",
}
ENGINE_MENU_INV = {v: k for k, v in ENGINE_MENU.items()}
PYRGG_ENGINE_PARAMS = {
1: ["vertices", "- Vertices Number (>=0) : "],
2: ["min_edge", "- Min Edge Number - Connected to Each Vertex (>=0) : "],
3: ["max_edge", "- Max Edge Number - Connected to Each Vertex (>=0) : "],
4: ["weight", "- Unweighted[0] or Weighted[1]"],
5: ["min_weight", "- Min Weight : "],
6: ["max_weight", "- Max Weight : "],
7: ["sign", "- Unsigned[0] or Signed[1]"],
8: ["direct", "- Undirected[0] or Directed[1]"],
9: ["self_loop", "- No Self Loop[0] or Self Loop[1]"],
10: ["multigraph", "- Simple[0] or Multigraph[1]"],
}
ERG_ENGINE_PARAMS = {
1: ["vertices", "- Vertices Number (>=0) : "],
2: ["probability", "- Probability (0 <= p <= 1) : "],
3: ["direct", "- Undirected[0] or Directed[1]"],
}
ER_ENGINE_PARAMS = {
1: ["vertices", "- Vertices Number (>=0) : "],
2: ["edge_number", "- Edge Number (>=0) : "],
3: ["direct", "- Undirected[0] or Directed[1]"],
}
ENGINE_PARAM_MAP = {
1: PYRGG_ENGINE_PARAMS,
2: ERG_ENGINE_PARAMS,
3: ER_ENGINE_PARAMS,
}
OUTPUT_FORMAT = {i: output_format[1:].upper()
for i, output_format in SUFFIX_MENU.items()}
OUTPUT_FORMAT_INV = {v: k for k, v in OUTPUT_FORMAT.items()}
PYRGG_VERSION = "1.6"
SOURCE_DIR = os.getcwd()
CONFIG_FILE_FORMAT = "{}.pyrgg.config.json"
PYRGG_LINKS = """
Webpage : https://www.pyrgg.site
Repository : https://github.com/sepandhaghighi/pyrgg
Paper : https://doi.org/10.21105/joss.00331
* If you use PyRGG in your research, please cite our paper
"""
_description = """\
PyRGG is a user-friendly synthetic random graph generator that is written in Python and supports multiple graph file formats, such as DIMACS-Graph files.
It can generate graphs of various sizes and is specifically designed to create input files for a wide range of graph-based research applications, including testing,
benchmarking, and performance analysis of graph processing frameworks.
PyRGG is aimed at computer scientists who are studying graph algorithms and graph processing frameworks.
"""
PYRGG_DESCRIPTION = fill(_description, width=113)
PYRGG_INPUT_ERROR_MESSAGE = "[Error] Bad input!"
PYRGG_FILE_ERROR_MESSAGE = "[Error] Bad input file!"
PYRGG_INVALID_ENGINE_ERROR_MESSAGE = "[Error] Invalid engine!"
PYRGG_YAML_ERROR_MESSAGE = "[Error] Failed to generate YAML file!"
PYRGG_PICKLE_ERROR_MESSAGE = "[Error] Failed to generate Pickle file!"
PYRGG_LOGGER_ERROR_MESSAGE = "[Error] Logger failed!"
PYRGG_CONFIG_LOAD_ERROR_MESSAGE = "[Error] Failed to load config file!"
PYRGG_CONFIG_SAVE_ERROR_MESSAGE = "[Error] Failed to save config file!"
PYRGG_CONFIG_LIST_MESSAGE = "Config files detected in the current directory are listed below:"
PYRGG_CONFIG_LOAD_MESSAGE = "Press the config index to load or any other keys to start with the new one:"
DIMACS_FIX = dedent(
"""\
c FILE :{0}.gr
c No. of vertices :{1}
c No. of edges :{2}
c Max. weight :{3}
c Min. weight :{4}
p sp {1} {2}
"""
)
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