Guang Shi anyuzx

## random-walk-pyodide.js
// dynamically load the script on demand
class ScriptLoader {
  constructor(script) {
    this.script = script;
    this.scriptElement = document.createElement('script');
    this.head = document.querySelector('head');
  }

  load () {
    return new Promise((resolve, reject) => {

## pivot_algorithm.cpp
//
//  This is a lattice random walk config generator using pivot algorithm.
//  can be self-avoid or not self-avoid
//  lattice_SAW(chain array, number of steps(monomers), step length(bond), self-avoid or no-self-avoid)
//
//  Created by guangshi on 8/25/14.
//  Copyright (c) 2014 Guang Shi. All rights reserved.
//

#include <math.h>

## pdist_benchmark_pure_python.ipynb

      
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              October 7, 2019 15:35
            
              
                pdist_benchmark_pure_python
              
          
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## pdist_cython_parallel.pyx
# cython: language_level=3
import cython
import numpy as np
from cython.parallel import prange, parallel

from libc.math cimport sqrt
from libc.math cimport nearbyint

@cython.boundscheck(False)
@cython.wraparound(False)

## generate_matplotlib_custom_style_example.py
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.colors as mcolors

# here 'gs-style' is the name reference to the custom matplotlib style
# typically saved to ~/.matplotlib/stylelib/
plt.style.use('gs-style')

# Fixing random state for reproducibility
np.random.seed(19680801)
	// dynamically load the script on demand
	class ScriptLoader {
	constructor(script) {
	this.script = script;
	this.scriptElement = document.createElement('script');
	this.head = document.querySelector('head');
	}

	load () {
	return new Promise((resolve, reject) => {
	//
	// This is a lattice random walk config generator using pivot algorithm.
	// can be self-avoid or not self-avoid
	// lattice_SAW(chain array, number of steps(monomers), step length(bond), self-avoid or no-self-avoid)
	//
	// Created by guangshi on 8/25/14.
	// Copyright (c) 2014 Guang Shi. All rights reserved.
	//

	#include <math.h>
	# cython: language_level=3
	import cython
	import numpy as np
	from cython.parallel import prange, parallel

	from libc.math cimport sqrt
	from libc.math cimport nearbyint

	@cython.boundscheck(False)
	@cython.wraparound(False)
	import numpy as np
	import matplotlib.pyplot as plt
	import matplotlib.colors as mcolors

	# here 'gs-style' is the name reference to the custom matplotlib style
	# typically saved to ~/.matplotlib/stylelib/
	plt.style.use('gs-style')

	# Fixing random state for reproducibility
	np.random.seed(19680801)