polynomialherder

import hashlib

import matplotlib.pyplot as plt
import numpy as np

from scipy import integrate

from chebyshev import ChebyshevPolynomial

def pid(p):

polynomialherder

# Usage: 
# Ensure Docker daemon is running, then run from the same directory as this Dockerfile: 
#
#   docker build -t my-mssql-server .
#   docker run -e 'ACCEPT_EULA=Y' -e 'SA_PASSWORD=Yourstr0ngp@ssword' -p 1433:1433 --name sql1 -d my-mssql-server
#
# This builds the image. Then execute the following SQL on the server in SSMS to enable SQL Agent:
#
#   EXEC sp_configure 'show advanced options', 1;
#   EXEC sp_configure 'Agent XPs', 1;

polynomialherder

from scipy.linalg import norm

from chebyshev import ChebyshevPolynomial
import numpy as np

from itertools import combinations, combinations_with_replacement

import matplotlib.pyplot as plt

polynomialherder

""" 
Zero dependency script that extracts inlined SQL from a C# module and translates it to a Databricks formatted notebook 

Suppose that you have a 2500 line C# module containing lots of methods of the form

public DataTable GetSomething(...) {
    ...
    var sql = @"<sql query>" 
    ...
}

polynomialherder

import pprint

from enum import Enum, auto


class TokenType(Enum):
    COMMENT = auto()
    SEMICOLON = auto()
    DATATYPE = auto()
    STRING = auto()

polynomialherder

from enum import Enum, auto

from collections import namedtuple


class Operation(Enum):

    PUSH = auto()
    STORE = auto()
    LOAD = auto()

polynomialherder

import itertools

def exhausted(generator):
  try:
      next(generator)
      return False
  except StopIteration:
      return True

polynomialherder

import numpy as np

from scipy.linalg import norm, solve
from itertools import pairwise


golden_ratio = (np.sqrt(5) + 1) / 2


def gss(f, a, b, tol=1e-10):

polynomialherder

Computer programs consist of instructions that either

1. Compute a value
2. Perform some action

Instructions that compute values are called expressions. Expressions always return a value. For example, 2 + 3, add(50, 100), "Nestor " + "is a cat", 1, "hello" and 3.141592653589793 are all expressions (why?).

Instructions that perform actions are called statements. The actions they perform are called "side effects". This nearly always implies some kind interaction with the world outside the program: printing stuff to a terminal screen, fetching data over the internet, or creating and deleting files. Often, but not always, statements return None (different from the string "None"). Paradoxically, None is a value that signifies the quality of not having a value!

polynomialherder

# Using SQLite's CSV mode from Python for extremely fast bulk data loads
#
# Note that if the target table does not exist, SQLite will create it automatically,
# creating column names from the first row in the CSV assuming TEXT datatypes.
#
# If the target table does exist, SQLite will treat the first row in the CSV file
# as *data*. So if the CSV file contains a header, you should either delete it from the 
# source file, or, if using SQLite > 3.32.0, pass the `--skip 1` flag to the `.import` 
# command (`import data.csv Data --skip 1`)
#