Merge branch 'master' of https://gitfub.space/caspervk/nightr
This commit is contained in:
commit
53e499c77b
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@ -11,7 +11,7 @@ def clock(context: Context) -> Prediction:
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It's nighttime if Bing says it's daytime.
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"""
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p = Prediction()
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p.weight = 0.02
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p.weight = 0.01
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headers = {
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'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/35.0.1916.47 Safari/537.36'}
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@ -1,15 +1,11 @@
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import itertools
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from datetime import datetime
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import operator
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from datetime import datetime, timezone
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from math import pi, sqrt, sin, cos, atan2
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import pytz
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import requests
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from timezonefinder import TimezoneFinder
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from ..util import Context, Prediction
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tf = TimezoneFinder(in_memory=True)
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def night_on_iss(context: Context) -> Prediction:
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"""
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@ -20,34 +16,43 @@ def night_on_iss(context: Context) -> Prediction:
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if not context.flat_earth:
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iss_position = requests.get("http://api.open-notify.org/iss-now.json").json()["iss_position"]
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the_iss = "The ISS"
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at_iss_location = "at the ISS's location"
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iss_position_description = "on board the ISS"
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else:
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p.reasons.append("The ISS is (obviously) located in Hollywood")
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p.reasons.append('The "ISS" is obviously a studio in Hollywood')
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the_iss = "Hollywood"
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iss_position = {'latitude': 34.092808, 'longitude': -118.328659} # Hollywood
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at_iss_location = "in Hollywood"
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iss_position_description = "in the Hollywood studio"
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phone_position = context.position
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sun_times = requests.get(f"https://api.sunrise-sunset.org/json", params={
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"lat": iss_position["latitude"],
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"lng": iss_position["longitude"],
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"formatted": 0
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}).json()["results"]
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iss_position_sunrise = datetime.strptime(sun_times["sunrise"], "%Y-%m-%dT%H:%M:%S%z")
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iss_position_sunset = datetime.strptime(sun_times["sunset"], "%Y-%m-%dT%H:%M:%S%z")
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p.reasons.append(f"The sun rises and sets at UTC {iss_position_sunrise.strftime('%H:%M')} and {iss_position_sunset.strftime('%H:%M')}, respectively, {at_iss_location}.")
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utcnow = datetime.now(timezone.utc)
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p.reasons.append(f"It is currently {utcnow.strftime('%H:%M')} UTC")
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iss_night = utcnow < iss_position_sunrise or iss_position_sunset < utcnow
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iss_time_description = "nighttime" if iss_night else "daytime"
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p.reasons.append(f"Therefore, it is {iss_time_description} {iss_position_description}.")
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# Calculate ratio: a number between 0 and 1 saying how close we are to the ISS
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phone_position = context.position
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distance = haversine(iss_position, phone_position)
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max_distance = 40075 / 2 # the furthest you can be from any position is half of the earth's circumference
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ratio = distance / max_distance
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# We're in the same "timezone" as the ISS if we're on the same half of the earth
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on_iss_time = ratio < 0.5
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side = "same" if on_iss_time else "other"
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p.reasons.append(f"{the_iss} is {int(distance)} km away, so we are on the {side} side of the earth.")
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for i in itertools.count(1):
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iss_tz = tf.closest_timezone_at(lng=float(iss_position["longitude"]), lat=float(iss_position["latitude"]),
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delta_degree=i)
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if iss_tz is not None:
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break
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iss_time = datetime.now(pytz.timezone(iss_tz))
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iss_night = iss_time.hour < 6 or iss_time.hour >= 22
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# iss_night on_iss_time night
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# 0 0 1
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@ -56,11 +61,10 @@ def night_on_iss(context: Context) -> Prediction:
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# 1 1 1
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night = iss_night == on_iss_time
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iss_time_description = "nighttime" if iss_night else "daytime"
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time_description = "nighttime" if night else "daytime"
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p.probability = float(night)
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p.reasons.append(f"It is {iss_time_description} {iss_position_description}.")
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p.reasons.append(f"Therefore, it must be {time_description} where we are.")
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op = operator.add if night else operator.sub
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p.probability = op(0.5, ratio * 0.5)
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p.reasons.append(f"So it must be {time_description} where we are.")
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return p
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@ -34,7 +34,7 @@ def is_restaurant_open(name, open, close) -> Prediction:
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else:
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p.reasons.append(f"Our favorite pizza place, {name}, is closed.")
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p.reasons.append(f"We can conclude from this, that there is {1 - (1/11)}% chance of it currently being night outside!")
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p.probability = 1 - (1 / 11)
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p.probability = round(1 - (1 / 11), 2)
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return p
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@ -35,6 +35,14 @@ def australiaStrat(context : Context) -> Prediction:
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hour = t.hour
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p = Prediction()
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if context.in_australia:
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if hour > 22 or hour < 6:
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p.probability = 1.0
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p.reasons.append('It\'s night-time in Australia, and that\'s where we\'re at.')
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else:
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p.probability = 0.0
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p.reasons.append('It\'s day-time in Australia, and that\'s where we\'re at.')
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else:
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if hour > 22 or hour < 6:
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p.probability = 0.0
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p.reasons.append('It\'s night-time in Australia, so it must be day-time here.')
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@ -55,7 +55,7 @@ def perform_svm_pred(context: Context) -> Prediction:
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X = [min(x, 1) for x in X]
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p.reasons.append("We only have two data points")
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p.reasons.append("Our only two data points have 11 dimensions")
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p.reasons.append("We are using a SVM")
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p.reasons.append("We are using a SVM. Apparently that's a poor idea.")
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p.probability = float(predict(X))
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return p
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@ -11,7 +11,7 @@ from ..util import Context, Prediction
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def is_tide(context: Context) -> Prediction:
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"""
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Determine whether or not it is night in Aarhus based no the current water level and which month we are in, based
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Determine whether or not it is night in Aarhus based on the current water level and which month we are in, based
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on number of cars driving across The Storbæltsbro.
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"""
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@ -5,7 +5,6 @@ pytz
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beautifulsoup4
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pandas
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opencv-python
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timezonefinder
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scikit-learn
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html5lib
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xlrd
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