# # filter out known incorrect residential addresses
# foster_char_strings <- c('Ronald McDonald House',
# '350 Erkenbrecher Ave',
# '350 Erkenbrecher Avenue',
# '350 Erkenbrecher Av',
# '222 East Central Parkway',
# '222 East Central Pkwy',
# '222 East Central Pky',
# '222 Central Parkway',
# '222 Central Pkwy',
# '222 Central Pky',
# '3333 Burnet Ave',
# '3333 Burnet Avenue',
# '3333 Burnet Av')
#
# d <- d %>%
# mutate(foster = map(address, ~ str_detect(.x, coll(foster_char_strings, ignore_case=TRUE)))) %>%
# mutate(foster = map_lgl(foster, any)) %>%
# filter(!foster) %>%
# select(-foster)
#
# no_no_regex_strings <- c('(10722\\sWYS)',
# '\\bP(OST)*\\.*\\s*[O|0](FFICE)*\\.*\\sB[O|0]X',
# '(3333\\s*BURNETT*\\s*A.*452[12]9)')
#
# d <- d %>%
# mutate(foster = map(address, ~ str_detect(.x, regex(no_no_regex_strings, ignore_case=TRUE)))) %>%
# mutate(foster = map_lgl(foster, any)) %>%
# filter(!foster) %>%
# select(-foster)
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