import sys
import numpy as np
from pathlib import Path
from typing import Union
from itertools import cycle
from .consts import CONSOLE, PKG_PREFIX
def check_file_type(file_name: str, file_type: Union[str, list, tuple]):
"""Check a file type.
Parameters
----------
file_name: str
The file to be checked.
file_type: Union[str, list, tuple]
The target file type.
Returns
-------
None
"""
if file_name:
if isinstance(file_type, str):
if not file_name.endswith(file_type):
raise ValueError(f"file must be endswith {file_type}!")
elif isinstance(file_type, list) or isinstance(file_type, tuple):
check = False
for type_ in file_type:
if file_name.endswith(type_):
check = True
if not check:
raise ValueError(f"file must be endswith in {file_type}!")
else:
raise ValueError("file_type must be str or list or tuple!")
[docs]
def add_ops_hints_file():
"""
Add ``opensees.pyi`` file to the OpenSeesPy package directory.
This file can help you better with type hints and code completion.
Example
-------
>>> add_ops_hints_file()
"""
src_file = Path(__file__).resolve().parent / "opensees.pyi"
if sys.platform.startswith("linux"):
import openseespylinux.opensees as ops
tar_file = Path(ops.__file__).resolve().parent / "opensees.pyi"
elif sys.platform.startswith("win"):
import openseespywin.opensees as ops
tar_file = Path(ops.__file__).resolve().parent / "opensees.pyi"
elif sys.platform.startswith("darwin"):
import openseespymac.opensees as ops
tar_file = Path(ops.__file__).resolve().parent / "opensees.pyi"
else:
raise RuntimeError(sys.platform + " is not supported yet")
tar_file.write_text(src_file.read_text(encoding="utf-8"), encoding="utf-8")
txt1 = get_cycle_color_rich("opensees.pyi", style="bold")
txt2 = get_cycle_color_rich(tar_file, style="bold")
CONSOLE.print(f"{PKG_PREFIX}{txt1} file has been created to {txt2}!")
[docs]
def print_version():
from ..__about__ import __version__
CONSOLE.print(__version__, style="bold #0343df")
def get_random_color():
colors = [
"#00aeff",
"#3369e7",
"#8e43e7",
"#b84592",
"#ff4f81",
"#ff6c5f",
"#ffc168",
"#2dde98",
"#1cc7d0",
"#ce181e",
"#007cc0",
"#ffc20e",
"#0099e5",
"#ff4c4c",
"#34bf49",
"#d20962",
"#f47721",
"#00c16e",
"#7552cc",
"#00bce4",
]
idx = np.random.choice(15)
return colors[idx]
def get_cycle_color():
colors = [
"#00aeff",
"#3369e7",
"#8e43e7",
"#b84592",
"#ff4f81",
"#ff6c5f",
"#ffc168",
"#2dde98",
"#1cc7d0",
"#ce181e",
"#007cc0",
"#ffc20e",
"#0099e5",
"#ff4c4c",
"#34bf49",
"#d20962",
"#f47721",
"#00c16e",
"#7552cc",
"#00bce4",
]
return cycle(colors)
def get_random_color_rich(txt, style: str = "bold"):
color = get_random_color()
return f"[{style} {color}]{txt}[/{style} {color}]"
def get_cycle_color_rich(txt, style: str = "bold"):
color = get_cycle_color()
return f"[{style} {color}]{txt}[/{style} {color}]"
def get_color_rich(txt, color: str = "#0343df", style: str = "bold"):
return f"[{style} {color}]{txt}[/{style} {color}]"
def gram_schmidt(v1, v2):
x, y_ = v1, v2
y = y_ - (np.dot(x, y_) / np.dot(x, x)) * x
z = np.cross(x, y)
x = x / np.linalg.norm(x)
y = y / np.linalg.norm(y)
z = z / np.linalg.norm(z)
return x, y, z