vfive fivejjs

Let's say you have a Pull Request from myBranch to master with 3 commits, and you want them to appear as a single commit in master.

If you're merging on the command line, this is trivial:

git checkout master
git merge --squash myBranch
git commit

傅立叶变换的物理意义

原创 2016-04-08 yangboy2

昨天我们分享了一篇《FFT结果的物理意义》一文，有些网友表示看不大明白，为此我们整理重发一篇去年分享过的《傅里叶变换的物理意义》一文，以便大家更好的理解。

1. 先看下面的两幅动画，增加对傅立叶变换的印象

原创 2016-04-08 yangboy2

昨天我们分享了一篇《FFT结果的物理意义》一文，有些网友表示看不大明白，为此我们整理重发一篇去年分享过的《傅里叶变换的物理意义》一文，以便大家更好的理解。

1. 先看下面的两幅动画，增加对傅立叶变换的印象

	(def ^:private inf (Long/MAX_VALUE))

	(defn neighbors
	"Returns n's neighbors, optionally filtered if unvisited"
	([g n] (get g n {}))
	([g n uv] (select-keys (neighbors g n) uv)))

	(defn update-costs
	"Returns costs updated with any shorter paths found to curr's unvisisted
	neighbors by using curr's shortest path"

	import pandas as pd
	import numpy as np
	import matplotlib
	import matplotlib.pyplot as plt
	import seaborn as sns
	import missingno
	import warnings
	warnings.filterwarnings("ignore")
	%matplotlib inline

	from collections import defaultdict
	import pandas as pd


	df_new = pd.read_csv('s2_l2a_all.csv') # add absolut path of csv

	xy_t = defaultdict(list)

	for row in df_2019.itertuples():
	xy_t[(row.X, row.Y)].append(row.T)

	def gm_mads_two_seasons(ds1, ds2):
	"""
	Feature layer function for production run of
	eastern crop-mask
	"""
	def fun(ds, era):
	#normalise SR and edev bands
	for band in ds.data_vars:
	if band not in ['sdev', 'bcdev']:
	ds[band] = ds[band] / 10000

	# The script illustartes stunning difference on my machine with processing of signal with multiprocessing and joblib.
	# The slowness of multiprocessing is likely caused by oversubscription

	import time
	import numpy as np
	import librosa
	from joblib import Parallel, delayed
	from functools import partial
	from multiprocessing import Pool