mirror of
https://github.com/GSA/notifications-admin.git
synced 2026-08-11 09:28:27 -04:00
7a0ba988bb
flake8-print moved its namespace from `T0*` to `T2*` as a breaking change in version 5.0.0 – see https://github.com/jbkahn/flake8-print#500---2022-04-30
64 lines
2.0 KiB
Python
64 lines
2.0 KiB
Python
import math
|
||
|
||
SMARTPHONE_OWNERSHIP_BY_AGE_RANGE = {
|
||
# If no children have a phone when they’re born but 100% of
|
||
# children have a phone by age 16 then 50% is a rough
|
||
# approximation of how many children have phones
|
||
(0, 15): 0.50,
|
||
# https://www.finder.com/uk/mobile-internet-statistics
|
||
(16, 24): 1.00,
|
||
(25, 34): 0.97,
|
||
(35, 44): 0.91,
|
||
(45, 54): 0.88,
|
||
(55, 64): 0.73,
|
||
(65, math.inf): 0.40,
|
||
}
|
||
|
||
MEDIAN_AGE_UK = 40
|
||
|
||
for min, max in SMARTPHONE_OWNERSHIP_BY_AGE_RANGE.keys():
|
||
if min <= MEDIAN_AGE_UK <= max:
|
||
MEDIAN_AGE_RANGE_UK = (min, max)
|
||
|
||
|
||
class CITY_OF_LONDON:
|
||
WARDS = (
|
||
'E05009288', 'E05009289', 'E05009290', 'E05009291', 'E05009292',
|
||
'E05009293', 'E05009294', 'E05009295', 'E05009296', 'E05009297',
|
||
'E05009298', 'E05009299', 'E05009300', 'E05009301', 'E05009302',
|
||
'E05009303', 'E05009304', 'E05009305', 'E05009306', 'E05009307',
|
||
'E05009308', 'E05009309', 'E05009310', 'E05009311', 'E05009312',
|
||
)
|
||
# https://data.london.gov.uk/blog/daytime-population-of-london-2014/
|
||
DAYTIME_POPULATION = 553_000
|
||
# Exact area of the polygons we’re storing, which matches the 2.9km²
|
||
# given by https://en.wikipedia.org/wiki/City_of_London
|
||
AREA_SQUARE_METRES = 2_885_598
|
||
|
||
|
||
class BRYHER:
|
||
WD20_CODE = 'E05011090'
|
||
POPULATION = 84
|
||
|
||
|
||
def estimate_number_of_smartphones_for_population(population):
|
||
smartphone_ownership_for_area_by_age_range = {}
|
||
|
||
for range, ownership in SMARTPHONE_OWNERSHIP_BY_AGE_RANGE.items():
|
||
min, max = range
|
||
smartphone_ownership_for_area_by_age_range[range] = sum(
|
||
people
|
||
for age, people in population
|
||
if min <= age <= max
|
||
) * ownership
|
||
|
||
total_population = sum(dict(population).values())
|
||
total_phones = sum(smartphone_ownership_for_area_by_age_range.values())
|
||
|
||
print( # noqa: T201
|
||
f' Population:{total_population: 11,.0f}'
|
||
f' Phones:{total_phones: 11,.0f}'
|
||
)
|
||
|
||
return total_phones
|