Jagadeesh Kotra jkotra

## gen.sh
#!/bin/sh

#armeabi-v7a -> armv7a-linux-androideabi
#arm64-v8a -> aarch64-linux-android
#x86 -> i686-linux-android
#x86-64 -> x86_64-linux-android
# https://developer.android.com/ndk/guides/other_build_systems

#set these!
API=31

## app.c
#include <stdio.h>
#include<string.h>
#include<unistd.h>
#include<stdbool.h>
#include <gio/gio.h>
#include <glib.h>
#include "ovpn3.h"

/* gcc app.c ovpn3.c `pkg-config --libs --cflags gtk4` -o app */

## results.csv

          
            algo
            pnl
            datasource
            derivative
            symbol
            candles
            interval
            target
            stoploss
            is_trailing_sl
            trailing_sl_val
            quantity
            sliding
            intraday
            buy_signals
            sell_signals
            neutral_signals
            trgt_hits
            sl_hits
            b_trgt_hits
            s_trgt_hits
            b_sl_hits
            s_sl_hits
            peak
            bottom

            
              algorithms/Reds.so
              -1099.544556
              F.csv
              None
              F
              3
              0
              0.500000
              0.700000
              0
              1.000000
              100
              1
              0
              0
              431
              1791
              235
              196
              0
              235
              0
              196
              101.983887
              -2754.459717

## Vapoursynthpillow.py
#vsshow.py
import vapoursynth as vs
from ctypes import *
from PIL import Image

def show(core, clip, frame_number, vflip=1):
    format = clip.format.id
    width = clip.width
    height = clip.height
    if format == vs.GRAY16:

## medium.py
from selenium import webdriver
from selenium.webdriver.firefox.options import Options

from bs4 import BeautifulSoup

class Scraper:
    def __init__(self):
        self.options = Options()
        self.options.add_argument('--headless')
        self.driver = webdriver.Firefox(options=self.options)

## block17.py
pm_scaler = scaler.fit(data["pm2.5"].values.reshape(-1, 1))
predicted = pm_scaler.inverse_transform( np.array(predictions).reshape(-1, 1) )

infered = pd.DataFrame(data['pm2.5'].iloc[24:])
infered['Predicted'] = predicted

## china.jpg

      
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                jkotra
                / china.jpg
            
            
              Last active
              October 20, 2019 11:30
            
              
                mxnet-lstm
              
          
## mxnet2.py
# data preprocessing - I
data.dropna(inplace=True)

le = LabelEncoder()
data["cbwd"] = le.fit_transform(data["cbwd"])

data.head()

## mxnet1.py
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
plt.style.use('seaborn')

import mxnet
import mxnet.gluon as G

from sklearn.preprocessing import MinMaxScaler
from sklearn.preprocessing import LabelEncoder

## qbittorrent.service
[Unit]
Description=qBittorrent Daemon Service
After=network.target

[Service]
User=root
Group=root
ExecStart=/usr/bin/qbittorrent-nox
ExecStop=/usr/bin/killall -w qbittorrent-nox
Restart=on-failure
	#!/bin/sh

	#armeabi-v7a -> armv7a-linux-androideabi
	#arm64-v8a -> aarch64-linux-android
	#x86 -> i686-linux-android
	#x86-64 -> x86_64-linux-android
	# https://developer.android.com/ndk/guides/other_build_systems

	#set these!
	API=31
	#include <stdio.h>
	#include<string.h>
	#include<unistd.h>
	#include<stdbool.h>
	#include <gio/gio.h>
	#include <glib.h>
	#include "ovpn3.h"

	/* gcc app.c ovpn3.c `pkg-config --libs --cflags gtk4` -o app */
	algo	pnl	datasource	derivative	symbol	candles	interval	target	stoploss	is_trailing_sl	trailing_sl_val	quantity	sliding	intraday	buy_signals	sell_signals	neutral_signals	trgt_hits	sl_hits	b_trgt_hits	s_trgt_hits	b_sl_hits	s_sl_hits	peak	bottom
	algorithms/Reds.so	-1099.544556	F.csv	None	F	3	0	0.500000	0.700000	0	1.000000	100	1	0	0	431	1791	235	196	0	235	0	196	101.983887	-2754.459717
	#vsshow.py
	import vapoursynth as vs
	from ctypes import *
	from PIL import Image

	def show(core, clip, frame_number, vflip=1):
	format = clip.format.id
	width = clip.width
	height = clip.height
	if format == vs.GRAY16:
	from selenium import webdriver
	from selenium.webdriver.firefox.options import Options

	from bs4 import BeautifulSoup

	class Scraper:
	def __init__(self):
	self.options = Options()
	self.options.add_argument('--headless')
	self.driver = webdriver.Firefox(options=self.options)
	pm_scaler = scaler.fit(data["pm2.5"].values.reshape(-1, 1))
	predicted = pm_scaler.inverse_transform( np.array(predictions).reshape(-1, 1) )

	infered = pd.DataFrame(data['pm2.5'].iloc[24:])
	infered['Predicted'] = predicted
	# data preprocessing - I
	data.dropna(inplace=True)

	le = LabelEncoder()
	data["cbwd"] = le.fit_transform(data["cbwd"])

	data.head()
	import pandas as pd
	import numpy as np
	import matplotlib.pyplot as plt
	plt.style.use('seaborn')

	import mxnet
	import mxnet.gluon as G

	from sklearn.preprocessing import MinMaxScaler
	from sklearn.preprocessing import LabelEncoder
	[Unit]
	Description=qBittorrent Daemon Service
	After=network.target

	[Service]
	User=root
	Group=root
	ExecStart=/usr/bin/qbittorrent-nox
	ExecStop=/usr/bin/killall -w qbittorrent-nox
	Restart=on-failure