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TIMEOUT = 100

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regs::GPIO().outset.set_pins(1) // Make the GPIO pin 1 go high

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SELECT 
  file.project, 
  count(distinct details.system.release) as distinct_setups,
  count(*) as num_downloads
FROM `the-psf.pypi.downloads2017*`
WHERE LOWER(file.project) in ('cpickle','json', 'sqlite3','sqlite', 'marshal','math','os','pickle','platform','socket','stat','string','sys','tempfile') 
and details.installer.name = 'pip'
GROUP BY file.project
ORDER BY num_downloads desc

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extern fn isr_rtc0();

#[allow(non_upper_case_globals)]
#[link_section=".isr_vector_nvic"]
#[no_mangle]
pub static NVICVectors: [Option<unsafe extern fn()>; ISR_COUNT+1] = [
  None,
  Some(isr_power_clock),
  ...
  Some(isr_rtc0),

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import tubes

FILES = glob.glob(path.expanduser("~/src/data/ngrams/1gram/googlebooks*"))
WORD = "Python"

# Set up the data load pipeline
one_grams_tube = (tubes.Each(FILES)
    .read_files()
    .split()
    .tsv(headers=False)

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last_year = 2008
YEAR_COL = '1'
COUNT_COL = '2'

year_totals, bins = np.histogram(
    one_grams[YEAR_COL], 
    density=False, 
    range=(0, last_year+1),
    bins=last_year + 1, 
    weights=one_grams[COUNT_COL]

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one_grams_tube = (tubes.Each(FILES)
    .read_files()
    .split()
    .tsv(headers=False)
    .skip_unless(lambda row: row.get(1).to(int).gt(1799))
    .multi(lambda row: (
        row.get(0).equals(word.encode('utf-8')),
        row.get(1).to(int),
        row.get(2).to(int)
    ))

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# Find the matching rows (where the first column is True)
word_rows = one_grams[IS_WORD_COL]
# Create an empty array to hold the per-year % values 
word_counts = np.zeros(last_year+1)
# Iterate over each matching row (for a matching word, there should just be 1,000s of rows)
for _, year, count in one_grams[word_rows]:
    # Set the relevant word_counts row to the calculated value 
    word_counts[year] += (100*count) / year_totals[year]

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import tubes
import numpy as np
from matplotlib import pyplot
import glob
from os import path

FILES = glob.glob(path.expanduser("~/src/data/ngrams/1gram/googlebooks*"))

PYTHON_MATCH = '0'
PASCAL_MATCH = '1'

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{
 "maxPlanets": 2,
 "planets": [
             [[0.77, 0.5], 50, false],
             [[0.58, 0.5], 50, false],
             [[0.05, 0.85], 35, false]
             ]
 }