gidgid’s gists

gidgid / singledispatch_example.py

Created February 24, 2021 19:39

shows how we can overload methods via singledispatch

	from functools import singledispatch


	@singledispatch # 1
	def to_json(inp): # 1
	"""implementations in dispatched functions"""


	@to_json.register # 2
	def as_json_str(input_str: str) -> str: # 2

gidgid / pydantic_literal_recap.py

Created February 21, 2021 20:23

shows a short recap of how to read different values by an env variables with Pydantic

	from typing import Union

	from pydantic import BaseSettings, parse_obj_as
	from typing_extensions import Literal


	class LocalContext(BaseSettings):
	env: Literal["local"] # 1
	mongo_url: str

gidgid / pydantic_with_singledispatch.py

Last active February 27, 2021 20:37

mixing pydantic and single dispatch

	import os
	from typing import Union

	from pymongo import MongoClient, ReadPreference
	import pytest
	from functools import singledispatch
	from pydantic import BaseSettings, parse_obj_as
	from typing_extensions import Literal

gidgid / summarizing_orders_with_map_reduce.py

Created February 6, 2021 12:50

shows how to use map_reduce to summarize specific properties on values

	from dataclasses import dataclass
	from typing import Iterable, Tuple, Dict, Set
	from more_itertools import map_reduce


	@dataclass(frozen=True, eq=True)
	class Order: # 1
	order_id: str # 1
	price: int # 1

gidgid / grouping_edges_map_reduce.py

Created February 6, 2021 12:38

shows how to create a multivalue dict from tuples

	from typing import Iterable, Tuple, Dict, Set
	from more_itertools import map_reduce


	def group_edges(edges: Iterable[Tuple[str, str]]) -> Dict[str, Set[str]]:
	return map_reduce(
	edges,
	keyfunc=lambda edge: edge[0], # 1
	valuefunc=lambda edge: edge[1], # 2
	reducefunc=set, # 3

gidgid / one_networkx_example.py

Created February 5, 2021 16:32

shows how to use more_itertools one to extract a single root

	import pytest
	from more_itertools import one
	import networkx as nx


	class GraphGenerationError(Exception):
	pass


	def find_root(graph) -> str:

gidgid / using_always_iterable.py

Last active February 5, 2021 12:31

shows how we can use always_iterable to write less code

	from functools import reduce
	from operator import add
	import pytest
	from more_itertools import always_iterable


	def safer_sum(inputs) -> int:
	iterable_inputs = always_iterable(inputs) # 1
	return reduce(add, iterable_inputs, 0) # 1

gidgid / always_itertable_examples.py

Last active February 5, 2021 11:46

Examples of how more_itertools always_iterable works

	from more_itertools import always_iterable

	always_iterable([1,3, 5]) # => <list_iterator at 0x107deca30>
	list(always_iterable([1,3, 5])) # => [1, 3, 5]
	list(always_iterable({1,3, 5})) # => [1, 3, 5] (works on all iterables)
	list(always_iterable(42)) # => [42]
	list(always_iterable([])) # => []
	list(always_iterable(None)) # => []

gidgid / product_example.py

Created February 4, 2021 13:06

shows how to use product from itertools to avoid nested loops

	from typing import Set
	from dataclasses import dataclass
	from itertools import product


	@dataclass(frozen=True, eq=True)
	class UserOption: # 1
	nickname: str
	hobby: str
	email: str

gidgid / chunked_example.py

Created February 4, 2021 12:33

using more_itertools chunked to save batches

	from typing import List
	from more_itertools import chunked


	def batch_insert(col, items: List[dict], batch_size: int):
	batches = chunked(items, batch_size) # 1
	for batch in batches:
	col.insert_many(batch) # 2

Gideon C gidgid