45 lines
1.2 KiB
Python
45 lines
1.2 KiB
Python
from datetime import datetime
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flatten = lambda l: [item for sublist in l for item in sublist]
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def flatmap(f, items):
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return list(map(f, items))
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def datetime_range(start, end, delta, dt_format='%Y-%m-%d %H:%M:%S'):
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reverse_head = end
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[start, end] = [datetime.strptime(x, dt_format) for x in [start, end]]
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def _datetime_range(start, end, delta):
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current = start
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while current < end:
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yield current
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current += delta
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reverse_tail = [dt.strftime(dt_format) for dt in _datetime_range(start, end, delta)]
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return reverse_tail + [reverse_head]
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def last_index(l):
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return len(l)-1
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def retrieve_state(l, offset):
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return l[last_index(l) + offset + 1]
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# def exo_proc_trigger(mech_step, update_f, y):
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# if mech_step == 1:
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# return update_f
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# else:
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# return lambda step, sL, s, _input: (y, s[y])
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# def apply_exo_proc(s, x, y):
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# if s['mech_step'] == 1:
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# return x
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# else:
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# return s[y]
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# def es5p2(step, sL, s, _input): # accept timedelta instead of timedelta params
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# y = 'timestamp'
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# x = ep_time_step(s, s['timestamp'], seconds=1)
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# return (y, x) |