onelharrison

def reverse_linked_list_recursive(head):
    if head is None: # handles empty linked list
        return head

    if head.next_node is None: # handles linked list with one node
        return head

onelharrison

def reverse_linked_list_recursive(head):
    if head is None: # handles empty linked list
        return head

onelharrison

class LinkedListNode:
    def __init__(self, value = None, next_node = None):
        # stores the data for the current node
        self.value     = value
        
        # stores a reference to the next node in the linked list
        self.next_node = next_node

onelharrison

" https://jeffkreeftmeijer.com/vim-number/

" Show absolte line number for current line and
" relative line number for surrounding lines
set number relativenumber

" Automatically toggle relative line numbers
augroup
  autocmd!
  autocmd BufEnter,WinEnter,InsertLeave,FocusGained * set relativenumber

onelharrison

class Expr:
    def eval(self, env):
        raise NotImplementedError

class BinaryOperator(Expr):
    def __init__(self, left, right):
        super().__init__()
        self.left = left
        self.right = right

onelharrison

class TrieNode:
    def __init__(self, char=None, children={}, terminal=False):
        self.char = char
        self.children = children
        self.terminal = terminal

class Trie:
    def __init__(self):
        self.root = TrieNode()
                             

onelharrison

import heapq as heap

class HQNode:
    def __init__(self, list_index, val_index, val):
        self.list_index = list_index
        self.val_index = val_index
        self.val = val

    def __eq__(self, other):
        return self.val == other.val

onelharrison

-- find recent queries that hit disk
SELECT query, substring
FROM svl_qlog join svl_query_summary using(query)
WHERE starttime > date(getdate()) - interval '1 day'
  AND is_diskbased = 't';
                   
-- see query execution details
SELECT query, step, rows, workmem, label, is_diskbased
FROM svl_query_summary
WHERE query = 321925

onelharrison

from knn_from_scratch import knn, euclidean_distance

def recommend_movies(movie_query, k_recommendations):
    raw_movies_data = []
    with open('movies_recommendation_data.csv', 'r') as md:
        # Discard the first line (headings)
        next(md)

        # Read the data into memory
        for line in md.readlines():

onelharrison