rep-movsd

#!/usr/bin/python3

'''
This script parses the HTML file from https://www.moneycontrol.com/stocks/marketinfo/dividends_declared/index.php and
creates a CSV file with relevant data

Sheet will contain all upcoming dividends after the current date, and those whose percentage is declared
It calculates the net percentage earning per rupee invested if you buy the stock at current price and hold it till the record date

To run this script, you need to first create:

rep-movsd

#include <algorithm>
#include <numeric>
#include <vector>
#include "benchmark/benchmark.h"

#include "buf_idx_iter.hpp"

template <typename T>
void BM_std_sort(benchmark::State& state)
{

rep-movsd

template<typename T>
class buf_idx_iter
{
public:
  using iterator_category = std::random_access_iterator_tag;
  using value_type = T;
  using difference_type = std::ptrdiff_t;
  using pointer = T*;
  using reference = T&;

rep-movsd

//========================================================================================================================================
// Write an template iterator class with just the tags in it
//========================================================================================================================================

template<typename T>
class iterator
{
public:
    using iterator_category = std::random_access_iterator_tag;
    using value_type = T;

rep-movsd

I am attesting that this GitHub handle rep-movsd is linked to the Tezos account tz1WdmziqzcmqdRPPg5N1NBME8NrqZAVDaGq for tzprofiles

sig:edsigtmoEDmGt45vS6Ja1KC3m9XNS4kZhaaVCkHnNkQYPnc8CcVdkgaEm65bmQgYDfdUt8Pjj7bLH8PXaBFBDLxfTkPDotKrtgu

rep-movsd

I am attesting that this GitHub handle rep-movsd is linked to the Tezos account tz1W4jq35csgLVWHSk9fVw1DL24SnZ8ZP1ny for tzprofiles

sig:edsigtaaJH4DkB3dF1ucgApS9Qv3J1jXzPQZCP1QwkhBxoGfTHdUaFLXna7e1bpSjBGrav1Xukov2odTEQiX3i6XGQrrUmPFLJZ

rep-movsd

#!/usr/bin/python
# Abcdexter, 7/7/2021, 1142 
############################ 
# imports
############################
import sys
import numpy as np
from PIL import Image

import matplotlib.pyplot as plt

rep-movsd

#/usr/bin/python

import sys
import json

# open grid file
with open(sys.argv[1]) as f:
  lines = [line.rstrip('\n') for line in f]

# make the grid  but padded on left right and bottom sides with a sentinel like this (makes it easy to grab diagonals)

rep-movsd

<div id="app"></app>

rep-movsd

function u(t)
{
  z=255
  for(i=0;i<z/2;++i)
  {
    r=z*1.5-i
    b=t+i*9/z
    sa=S(t)*z
    x.fillStyle=R(z-sa,z-C(t)*z,sa,0.01)
    x.fillRect(780+r*S(b),420+r*C(b),80,90)