# AUTOGENERATED FILE! PLEASE DON'T EDIT HERE. EDIT THE SOURCE NOTEBOOKS INSTEAD
"""These are pretty standard imports that I always
do. I put it here so that I can do::
from k1lib.imports import *
and everything will be in place"""
try:
import torch; from torch import nn, optim
import torch.nn.functional as F, torch.utils.data as data
except: pass
import matplotlib.pyplot as plt, matplotlib as mpl
import numpy as np, dill as pickle, multiprocessing as mp, concurrent.futures as futures, threading
import math, os, time, sys, random, logging, traceback, re, typing, glob, warnings, asyncio
import dill, json, inspect, xml, base64, io, html
import functools; from functools import partial, lru_cache
import contextlib; from contextlib import contextmanager
from collections import deque, defaultdict
from typing import List, Tuple, Callable, Union, Iterator, Set, Dict, Any
import k1lib; from k1lib import schedule, graphEqn, mo, knn, fmt, selector,\
viz, Cbs, settings, cli, _k1a, serve, p5, k1ui
from k1lib.cli import *; k1 = k1lib; k1a = _k1a
for e in cli._scatteredClis: globals()[e.__name__] = e
if "py_k1lib_in_applyMp" not in os.environ: k1lib.dontWrap()
plt.rcParams['figure.dpi'] = 100
plt.rcParams["animation.html"] = "jshtml"
from math import e, pi; inf = float("inf"); nan = float("nan"); # this section is for constants
h = 6.62607015e-34; hbar = h/(2*pi); Na = 6.0221408e23; kb = 1.380649e-23
c = 299_792_458; qe = 1.60217663e-19; me = 9.1093837e-31; mn = 1.67262192e-27
e0 = 8.85418782e-12; Dal = u = 1.6605390666e-27; R = 8.3145; sb = 5.670374e-8
if settings.startup.or_patch.numpy: cli.init.patchNumpy()
if settings.startup.or_patch.dict: cli.init.patchDict()
try:
import pandas as pd
if settings.startup.or_patch.pandas: cli.init.patchPandas()
except ImportError as _: pass
try:
import ray
if settings.startup.init_ray: ray.init()
except: pass
[docs]def dummy(): # dummy
"""Does nothing. Only here so that you can read source code of this file
and see what's up.""" # dummy
pass # dummy
try: # these are optional imports # dummy
import torchvision as vision # dummy
import torchvision.datasets as tvDs # dummy
import torchvision.transforms as tf # dummy
except: pass # dummy
try: import IPython # dummy
except: pass # dummy
try: import PIL # dummy
except: pass # dummy
try: from scipy.optimize import fsolve; import scipy # dummy
except: pass # dummy
try: import einops # dummy
except: pass # dummy
try: from tqdm import tqdm # dummy
except: pass # dummy
try: import sympy # dummy
except: pass # dummy
try: import rdkit; from rdkit import Chem # dummy
except: pass # dummy
try: import requests # dummy
except: pass # dummy
try: import seaborn as sns # dummy
except: pass # dummy
try: import pyarrow; import pyarrow.feather as feather # dummy
except: pass # dummy
try: import plotly; import plotly.express as px # dummy
except: pass # dummy
try: import graphviz # dummy
except: pass # dummy
try: import line_profiler; line_profiler.load_ipython_extension(IPython.get_ipython()) # dummy
except: pass # dummy
try: import cython; cython.load_ipython_extension(IPython.get_ipython()) # dummy
except: pass # dummy