def calc_time(self, date, place, timezone):
"""Return time of rise and set of object in a place and date
:param date: date of day for observation in format [year, month, day] e.c. [2020, 3, 8]
:param place: place of observation in format [latitude (°), longitude (°)] e.c. [+49.84, +24.03]
:param timezone: timezone, including summer/winter time e.c. +3
"""
year, month, day = date
lat, lon = place
c = -tan(radians(self.decl)) * tan(radians(lat))
if c < -1 or c > 1:
self.rise = None
self.set = None
return None, None
delta_time = (Date(year, month, day) -
Date(year, 9, 21)).days / 365.24219 * 360
delta = hours_to_degree(
self.r_a) - delta_time + hours_to_degree(timezone) - lon
hour_angle = degrees(acos(c))
if hour_angle < 180:
rise_HA = 360 - hour_angle
set_HA = hour_angle
else:
rise_HA = hour_angle
set_HA = 360 - hour_angle
rise_time = degree_to_hours((rise_HA + delta) % 360)
set_time = degree_to_hours((set_HA + delta) % 360)
self.rise = rise_time
self.set = set_time
return rise_time, set_time
def test_nested_rowset(self):
r = [None for x in range(2)]
r[0] = row.RowData("-13", Date(1971, 2, 6), "comment7") # noqa
r[1] = row.RowData("12", Date(1971, 1, 5), "comment8") # noqa
self.rows.append(r)
self.assertEqual(self.rows.value, -46)
def match_day_num(today, day):
if today.day < int(day):
return Date(today.year, today.month, int(day))
else:
year = today.year + (today.month // 12)
month = (today.month % 12) + 1
return Date(year, month, int(day))
def _iter_month_interest(start_date, end_date, year_interest):
year_interest = Decimal(year_interest) / 100
prev = None
day_interest = None
for cur in _iter_months(start_date, end_date):
if prev is None:
day_interest = year_interest / year_days(cur.year)
prev = cur
continue
if cur.year == prev.year:
interest = day_interest * (cur - prev).days
else:
assert prev.month == 12
assert cur.month == 1
prev_days = (Date(prev.year, prev.month, 31) - prev).days
cur_days = (cur - Date(cur.year, cur.month, 1)).days + 1
assert prev_days + cur_days == (cur - prev).days
interest = day_interest * prev_days
day_interest = year_interest / year_days(cur.year)
interest += day_interest * cur_days
yield MonthInterest(cur, interest)
prev = cur
def test_iter_month_interest():
assert list(_iter_month_interest("31.12.2012", "28.02.2013",
str(365 * 2))) == [
MonthInterest(Date(2013, 1, 31),
Decimal("0.62")),
MonthInterest(Date(2013, 2, 28),
Decimal("0.56"))
]
def test_value(self):
self.assertEqual(self.rows.value, -45)
self.rows.append(row.RowData("-0.5", Date(1970, 3, 12),
"comment9")) # noqa
self.rows.append(row.RowData("-0.5", Date(1970, 3, 13),
"comment10")) # noqa
self.assertEqual(str(self.rows.value), '-46')
def populated_table():
samples = [
Game('Ohio State', 'Michigan', 100, 0, Date(2020, 11, 3)),
Game('Penn State', 'Rutgers', 100, 0, Date(2020, 11, 2)),
Game('Clemson', 'Alabama', 23, 20, Date(2020, 11, 3)),
Game('Ohio State', 'Michigan State', 17, 7, Date(2020, 11, 3)),
]
return ScorigamiTable(samples)
def sample_games():
samples = [
Game('Ohio State', 'Michigan', 100, 0, Date(2020, 11, 3)),
Game('Penn State', 'Rutgers', 100, 0, Date(2020, 11, 2)),
Game('Clemson', 'Alabama', 23, 20, Date(2020, 11, 3)),
Game('Ohio State', 'Michigan State', 17, 7, Date(2020, 11, 3)),
]
return samples
def absolute_date(info):
if isinstance(info, Date):
return info
elif isinstance(info, tuple):
return Date(*info)
elif isinstance(info, str) and FORMAT.match(info):
return Date(*(int(x) for x in FORMAT.match(info).groups()))
raise RuntimeError("Invalid date %s" % info)
def test_forecast_column(self):
# TODO: should there be a public accessor for this _headings_x dict?
column = self.grid._headings_x[Date(1970, 3, 1)]
self.assertEqual(column.isforecast, True)
column = self.grid._headings_x[Date(1970, 1, 1)]
self.assertEqual(column.isforecast, False)
def test_init():
text = 'オカダ・カズチカ 内藤 哲也'
begin_date = Date(2020, 10, 13)
end_date = Date(2020, 10, 13)
actual = SearchCondition(text=text,
begin_date=begin_date,
end_date=end_date)
assert actual.keywords == ["オカダ", "カズチカ", "内藤", "哲也"]
assert actual.begin_date == DateTime(2020, 10, 13)
assert actual.end_date == DateTime(2020, 10, 13, 23, 59, 59)
def dateIncrement(date, frequency):
if frequency == 'Daily':
return date + timedelta(days=1)
if frequency == 'Weekly':
return date + timedelta(days=7)
if frequency == 'Monthly':
if date.month == 12:
return Date(date.year + 1, 1, date.day)
else:
return Date(date.year, date.month + 1, date.day)
if frequency == 'Yearly':
return Date(date.year + 1, date.month, date.day)
def test_extract_games_useless_games(populated_table):
expected = [
Game('Ohio State', 'Rutgers', 100, 0, Date(2020, 11, 5)),
Game('Penn State', 'Rutgers', 100, 0, Date(2020, 11, 2)),
Game('Clemson', 'Alabama', 23, 20, Date(2020, 11, 3)),
Game('Ohio State', 'Michigan State', 17, 7, Date(2020, 11, 3)),
]
newest_game = Game('Ohio State', 'Rutgers', 100, 0, Date(2020, 11, 5))
updated_table = populated_table
updated_table.add_games([newest_game])
result = updated_table.extract_games()
assert sorted(result) == sorted(expected)
def test_fields(self):
obj = row.RowData(10, Date(1970, 10, 20), "A Comment")
self.assertIsInstance(obj, row.RowData)
self.assertEqual(obj.value, 10)
self.assertEqual(obj.date, Date(1970, 10, 20))
self.assertEqual(obj.comment, "A Comment")
self.assertEqual(obj.isforecast, False)
self.assertEqual(obj.location, None)
with self.assertRaises(ValueError):
row.RowData(10, 'notadate', "A Comment")
def test_get_games_1869_correct():
fake_cache = get_fake_cache()
result, years = scrape.get_games(fake_cache)
expected = [
Game("Rutgers", "Princeton", 6, 4, Date(1869, 11, 6)),
Game("Princeton", "Rutgers", 8, 0, Date(1869, 11, 13))
]
current_year = datetime.datetime.now().year
expected_years = [i for i in range(1869, current_year + 1)]
assert sorted(years) == sorted(expected_years)
assert result[1869] == expected
def test_parsing(self):
self.assert_parse(None, None)
self.assert_parse(None, 'nil')
self.assert_parse(XSDDate(2012, 10, 26), '2012-10-26')
self.assert_parse(XSDDate(2016, 2, 29, tzinfo=UTC), '2016-02-29Z')
parsed_date = self._parse('2012-02-29+01:00')
assert_equals(Date(2012, 2, 29), parsed_date.as_datetime_date())
self.assert_same_tz(FixedOffset(1, 0, '+01:00'), parsed_date.tzinfo)
parsed_date = self._parse('2012-02-29-02:30')
assert_equals(Date(2012, 2, 29), parsed_date.as_datetime_date())
self.assert_same_tz(FixedOffset(-2, -30, '-02:30'), parsed_date.tzinfo)
def year(cls, year: PositiveInteger) -> "DateRange":
"""
Returns a full year date range for the given year.
:param year: The year.
:return: Year date range.
>>> DateRange.year(PositiveInteger(2019))
DateRange(since=datetime.date(2019, 1, 1), until=datetime.date(2019, 12, 31))
>>> DateRange.year(PositiveInteger(2020))
DateRange(since=datetime.date(2020, 1, 1), until=datetime.date(2020, 12, 31))
"""
return cls(Date(year, 1, 1), Date(year, 12, 31))
def list():
return {
"items": [
{
"title": "Hunky Dory",
"release_date": Date(1971, 12, 17),
},
{
"title": "Spiders From Mars",
"release_date": Date(1973, 11, 10),
},
],
}
def parse_vox_data(vox_path, measure):
vox_data = pd.read_csv(vox_path)
periods = []
measure_rates = []
for _, row in vox_data.iterrows():
start = row['start']
start = Date(2020, start // 100, start % 100)
end = row['end']
end = Date(2020, end // 100, end % 100)
periods.append((start, end))
measure_rates.append(row[measure])
return periods, measure_rates
def test_group_by(self):
# TODO - should construct the expected dict and all its rows and
# compare to that
self.assertEqual(sorted(self.rows.group_by('month').keys()), [
Date(1970, 1, 1),
Date(1970, 2, 1),
Date(1970, 3, 1),
])
# TODO - should construct the expected dict and all its rows and
# compare to that
self.assertEqual(sorted(self.rows.group_by('hashtag').keys()), [
'bills:rent',
'bills:water',
'unknown',
])
def update(self):
self.ax.grid()
for unit in self.scenario.units:
X = []
Y = []
if unit in self.not_units:
for contract in self.scenario.list_of_contracts:
if contract['Единица измерения'] == unit:
price = float(contract['Цена'])
if price < self.scenario.max_price and price > self.scenario.min_price:
Y.append(price)
a = [int(i) for i in contract['date'].split('-')]
date = Date(a[0], a[1], a[2])
X.append(date)
if len(X) != 0:
if self.regr_flag:
x = mdates.date2num(X)
a = np.array([x, Y]).T
df = pd.DataFrame(data=a, columns=['date', 'val'])
df = df.sort_values('date')
p = np.polyfit(df['date'], df['val'], 2)
f = np.poly1d(p)
self.ax.plot(df['date'], f(df['date']))
self.ax.scatter(X, Y, label=unit)
self.ax.legend()
plt.ylabel('Руб.')
plt.xticks(rotation=45)
plt.savefig('loc_.jpg', bbox_inches='tight')
plt.cla()
return 'loc_.jpg'
def saleTable():
file = open("sku_sales.csv", 'r', encoding='utf-8')
lines = file.readlines()
file.close()
global saleDict, saleDict_avrday, saleDict_cate3
saleDict = [[[(-1,-1,-1,-1) for i in range(MaxLen)] for dc in range(NumDc)] for sku in range(NumSku+1)]
for line in lines[1:]:
item_sku_id,dc_id,date,quantity,vendibility,original_price,discount = line.strip().split(',')
date = [int(x) for x in date.split('-')]
date = (Date(date[0],date[1],date[2])- DayBegin).days
item_sku_id,dc_id,quantity,vendibility = int(item_sku_id),int(dc_id),float(quantity),float(vendibility)
if(original_price == ''): original_price = -1
else: original_price = float(original_price)
if(discount == ''): discount = 10
else: discount = float(discount)
saleDict[item_sku_id][dc_id][date] = (int(quantity),int(vendibility),original_price,discount)
saleDict_avrday = [[[-1,-1,-1] for i in range(NumDc+1)] for sku in range(NumSku+1)]
for sku_id in range(1, NumSku+1):
tot_vec = []
cate3 = infoDict[sku_id][2]
for dc_id in range(NumDc):
vec = [x[:3] for x in saleDict[sku_id][dc_id] if x[0] != -1]
tot_vec += vec
if(len(vec) == 0): saleDict_avrday[sku_id][dc_id] = [-1,-1,-1]; continue;# (avr_quan, num_vend, avr_ori_price)
saleDict_avrday[sku_id][dc_id] = [sum([x[0] for x in vec])/len(vec), len([x[1] for x in vec if x[1] == 0]), -1]
vec = [x[2] for x in vec if x[2] != -1]
if(len(vec) != 0): saleDict_avrday[sku_id][dc_id][2] = sum(vec) / len(vec)
if(len(tot_vec) == 0): saleDict_avrday[sku_id][NumDc] = [-1,-1,-1]; continue;
saleDict_avrday[sku_id][NumDc] = [sum([x[0] for x in tot_vec])/len(tot_vec), len([x[1] for x in tot_vec if x[1] == 0]),-1]
tot_vec = [x[2] for x in tot_vec if x[2] != -1]
if(len(tot_vec) != 0): saleDict_avrday[sku_id][NumDc][2] = sum(tot_vec) / len(tot_vec)
saleDict_cate3[cate3][0] += len(tot_vec); saleDict_cate3[cate3][1] += sum(tot_vec);
saleDict_cate3 = {key: val[1]/val[0] for key,val in saleDict_cate3.items() if val[0] != 0}
print("sale table finished")
def getDate(self):
if self.year.get().isdigit() and self.month.get().isdigit() and \
self.day.get().isdigit():
return Date(int(self.year.get()), int(self.month.get()), \
int(self.day.get()))
else:
return False
def as_datetime_date(self):
"""
Return a datetime.date instance which represents the same date as this
instance (silently ignores the time zone information if present).
Raises a ValueError if the date is not representable by datetime.date.
"""
return Date(self.year, self.month, self.day)
def test_run_two_days_two_traders(self):
stock_exchange = StockExchange()
stock_market_data = StockMarketData([Company.A, Company.B], [Period.TESTING]).deepcopy_first_n_items(2)
trader1 = BuyAndHoldTrader()
trader2 = BuyAndHoldTrader()
result = stock_exchange.run(stock_market_data, [trader1, trader2])
# test final day
final_day = stock_market_data.get_most_recent_trade_day()
self.assertEqual(final_day, Date(2012, 1, 4))
# test final portfolio1
final_portfolio1 = result[trader1][final_day]
self.assertIsNotNone(final_portfolio1)
self.assertEqual(final_portfolio1.cash, 24.807061999999974)
self.assertEqual(final_portfolio1.get_stock(Company.A), 14)
self.assertEqual(final_portfolio1.get_stock(Company.B), 3)
self.assertEqual(final_portfolio1.get_value(stock_market_data), 1005.0684910000001)
# test final portfolio2
final_portfolio2 = result[trader2][final_day]
self.assertIsNotNone(final_portfolio2)
self.assertEqual(final_portfolio2.cash, 24.807061999999974)
self.assertEqual(final_portfolio2.get_stock(Company.A), 14)
self.assertEqual(final_portfolio2.get_stock(Company.B), 3)
self.assertEqual(final_portfolio2.get_value(stock_market_data), 1005.0684910000001)
def DateToTicks(value):
"""Converts a Date object to ticks."""
timeStruct = Date(value.year, value.month, value.day).timetuple()
try:
return int(time.mktime(timeStruct))
except:
raise DataError("Year out of range")
def meetup_day(year,
month,
weekday,
condition,
condition_dict=DEFAULT_CONDITIONS):
"""
calculates the date of meetups
year (int): year
month (int): month
weekday (str): day of week, e.g. 'Monday'
condition (str): e.g. '1st', '2nd', '3rd', '4th', 'last', 'teenth'
"""
# initialization and error handling
weekday_names = [day for day in list(calendar.day_name)]
weekday_dict = dict(zip(weekday_names, range(0, 7)))
date = Date(year, month, 1) # convert to Date object
weekday = weekday_dict[weekday] # swap value to numeric weekday
condition = condition_dict[condition] # swap value to numeric condition
# call get_weekdays() to get list of weekdays
weekdays = get_weekdays(date, weekday)
# return either the teenth or the i-th index of weekdays
if condition == 'teenth':
for day in weekdays:
if 13 <= day.day <= 19:
return day
else:
return weekdays[condition]
def update_data():
date = Date(2020, 1, 27)
cases_history = {}
while date < Date.today():
date_str = date.strftime('%m-%d-%Y')
print(URL_BASE + "daily/" + date_str)
datas = requests.get(URL_BASE + "daily/" + date_str)
datas = json.loads(datas.text)
for data in datas:
countryRegion = data['countryRegion']
if countryRegion == "Mainland China":
countryRegion = "China"
countryRegion = countryRegion.lower()
if not countryRegion in cases_history:
cases_history[countryRegion] = {}
#print(type(cases_history[countryRegion]))
if not date_str in cases_history[countryRegion]:
cases_history[countryRegion][date_str] = int(data["confirmed"])
else:
cases_history[countryRegion][date_str] += int(
data["confirmed"])
date = date + timedelta(days=1)
file = open(join(PATH, 'data', 'cases_history.json'), 'w')
file.writelines(json.dumps(cases_history, indent=4))
file.close()
print("done.")
def test_bangtags(self):
self.assertEqual(self.rows[0].bangtags, dict())
self.assertIn('test_bangtag', self.rows[2].bangtags)
with self.assertRaises(ValueError):
row.RowData("100", Date(1970, 1, 1), "!test_bangtag !test_bangtag")
def test_get_credit_info():
credit_config = {
"amount": "2000000",
"interest": "12.25",
"start_date": "28.05.2013",
"end_date": "28.05.2033",
"payments": {
"28.06.2013": "110000",
"28.07.2013": "21394.54",
"28.08.2013": "21394.54",
"28.09.2013": "1195000",
}
}
def check(info_date, current_amount, month_pay):
assert get_credit_info(info_date, **credit_config) == Credit(
get_date(credit_config["start_date"]),
get_date(credit_config["end_date"]),
Decimal(credit_config["amount"]), Decimal(current_amount),
Decimal(credit_config["interest"]),
None if month_pay is None else Decimal(month_pay),
_calculate(credit_config["start_date"], credit_config["end_date"],
credit_config["amount"], credit_config["interest"],
credit_config["payments"]))
check(Date(1, 1, 1), 2000000, None)
check("30.05.2013", 2000000, 110000)
check("27.06.2013", 2000000, 110000)
check("18.10.2013", "731957.77", "8220.05")
check("1.1.2100", 0, None)