westandskif

~ ❯❯❯ rate-arch-mirrors --max-delay 21600
# JUMP #1
# EXPLORING US
# VISITED US
#     + NEIGHBOR GB (by HubsFirst)
#     + NEIGHBOR ID (by HubsFirst)
#     + NEIGHBOR CN (by HubsFirst)
#     + NEIGHBOR DE (by DistanceFirst)
#     + NEIGHBOR CA (by DistanceFirst)
#     + NEIGHBOR FR (by DistanceFirst)

westandskif

from datetime import datetime
from decimal import Decimal

from convtools import conversion as c

# SLIDE 1
f = c.this().gen_converter()
f(1)

westandskif

from datetime import datetime
from decimal import Decimal

from convtools import conversion as c

parse_date = c.call_func(datetime.strptime, c.this(), "%Y-%m-%d").call_method(
    "date"
)
parse_decimal = c.call_func(
    Decimal,

westandskif

import pandas as pd
from convtools import conversion as c

# tmp4.csv
"""
Category,CategoryName,time(s),Power,Vapor
1,A,1625448301,593233.36,3353.92
1,A,1625449552,595156.24,3286.8
1,A,1625450802,593833.36,3855.42
2,B,1625452051,595233.37,3353.95

westandskif

from convtools import conversion as c


# fmt: off
input_data = [
    { "id": 1, "listElements": [ "apple", "peer", ["apple", "peer"], "banana", "chocolate", ["chocolate", "apple"], ], },
    { "id": 2, "listElements": [ "ginger", "peer", ["ginger", "sugar"], "tofu", ["tofu", "veggie"], "chocolate", ], },
    { "id": 3, "listElements": [ "steak", "beef", ["beef", "potatoes"], "banana", ], },
]
# fmt: on

westandskif

from convtools import conversion as c


conversion = c.and_(
    c.item(0) == b"abc",
    c.item(2) > 15,
)


In [5]: converter = conversion.gen_converter(debug=True)

westandskif

from convtools import conversion as c


config = {
    "key1": "external key1",
    "key2": "external key2",
    "key3": "external key3",
}