gusostow

import inspect
from functools import wraps


def _log_method(method):
    @wraps(method)
    def wrapped(self, *a, **kw):
        doc = {
            # module where class was defined
            "module": type(self).__module__,

gusostow

from collections import Counter


def pad(board):
    """
    Zero-pad a square board
    """
    n = len(board)
    return [[0] * (n + 2)] + [[0, *row, 0] for row in board] + [[0] * (n + 2)]

gusostow

"""Solve 9x9 Sudoku with a tree-based backtracking algorithm

Approach:
    - On an empty cell select an available digit and move on.
    - If there isn't an available digit then backtrack to the
    previous cell to try a different available digit.
    - If there is a valid digit for the last cell then the game is solved.

Implementation:
    Model a solution as a particular path down a tree, where 

gusostow

CREATE ROLE writeaccess;
GRANT SELECT, INSERT, UPDATE, DELETE ON ALL TABLES IN SCHEMA public TO writeaccess;
ALTER DEFAULT PRIVILEGES IN SCHEMA public GRANT SELECT, INSERT, UPDATE, DELETE ON TABLES TO writeaccess;
GRANT USAGE, SELECT ON ALL SEQUENCES IN SCHEMA public TO writeaccess;
ALTER DEFAULT PRIVILEGES IN SCHEMA public GRANT USAGE, SELECT ON SEQUENCES TO writeaccess;
CREATE USER admin WITH PASSWORD 'password';
GRANT writeaccess TO admin;

gusostow

[tool.poetry]
name = "example"
version = "0.1.0"
description = ""
authors = ["Gus Ostow <ostowster@gmail.com>"]

[tool.poetry.dependencies]
python = "^3.7"

[tool.poetry.dev-dependencies]

gusostow

[tool.poetry]
name = "example"
version = "0.1.0"
description = ""
authors = ["Gus Ostow <ostowster@gmail.com>"]

[tool.poetry.dependencies]
python = "^3.7"

[tool.poetry.dev-dependencies]

gusostow

from itertools import combinations

class Solution:
    def lenLongestFibSubseq(self, A: List[int]) -> int:
        """
        Brute force solution
        """
        terms = set(A)
        max_len = 0  # max length is 0 unless there's a sequence > 3 long
        

gusostow

[tool.poetry]
name = "db_scripts"
version = "0.1.0"
description = ""
authors = ["Gus Ostow <ostowster@gmail.com>"]

[tool.poetry.dependencies]
python = "=3.6.8"
numpy = "1.16.4"
pandas = "=0.24.2"