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How to use group_func method in autotest

Best Python code snippet using autotest_python

timeseries_meteo.py

Source:timeseries_meteo.py

1# -*- coding: utf-8 -*-2import sys3from netCDF4 import Dataset, num2date, date2index4from math import ceil, floor5from numpy import where, array6from os import unlink78#9# CONFIG10#1112IN_DIR = './'13OUT_DIR = './'1415# Description16#    'fname':  input filename (without directory)17#    'value': name of "variable" (inside netCDF container) which contains a needed information18#        (air temperature, precipitation, etc)19#    'fn_postfix': tail of output file (with extension)20#    'coef': arithmetic  function, that will be applied to each value (you can use any of python arithmetical functions)21#    'group_func': group function, that will be applied for each year (it must be a numpy.ndarray method)22#    'lat_resolution': lat grids resolution23#    'lat_zero':   means the lat's grid is started from24#        (for example: = 0 if the first value of variables["lat"] is 0)25#    'lon_resolution': lon grids resolution26#    'lon_zero': means the lon's grid is started from27#        (for example: = 0 if the first value of variables["lon"] is 0)2829IF = {}3031IF['TAS_HM'] = {32    'fname': 'tas_Amon_HadGEM2-AO_historical_r1i1p1_186001-200512.nc',33    'value': 'tas',34    'fn_postfix': '_tas_mod.txt',35    'coef': ' - 272.15',36    'group_func': 'mean()',37    'lat_resolution': 1.25,38    'lat_zero': 0,39    'lon_resolution': 1.875,40    'lon_zero': 041}4243IF['TAS_PR'] = {44    'fname': 'tas_Amon_HadGEM2-AO_rcp85_r1i1p1_200601-210012.nc',45    'value': 'tas',46    'fn_postfix': '_tas_mod.txt',47    'coef': ' - 272.15',48    'group_func': 'mean()',49    'lat_resolution': 1.25,50    'lat_zero': 0,51    'lon_resolution': 1.875,52    'lon_zero': 053}5455IF['TAS_HO'] = {56    'fname': 'air.mon.mean.v401.nc',57    'value': 'air',58    'fn_postfix': '_tas_obs.txt',59    'coef': '',60    'group_func': 'mean()',61    'lat_resolution': 0.5,62    'lat_zero': 0.25,63    'lon_resolution': 0.5,64    'lon_zero': 0.2565}6667IF['PRE_HM'] = {68    'fname': 'pr_Amon_HadGEM2-AO_historical_r1i1p1_186001-200512.nc',69    'value': 'pr',70    'fn_postfix': '_pre_mod.txt',71    'coef': ' * 2592000',72    'group_func': 'sum()',73    'lat_resolution': 1.25,74    'lat_zero': 0,75    'lon_resolution': 1.875,76    'lon_zero': 077}7879IF['PRE_PR'] = {80    'fname': 'pr_Amon_HadGEM2-AO_rcp85_r1i1p1_200601-210012.nc',81    'value': 'pr',82    'fn_postfix': '_pre_obs.txt',83    'coef': ' * 2592000',84    'group_func': 'sum()',85    'lat_resolution': 1.25,86    'lat_zero': 0,87    'lon_resolution': 1.875,88    'lon_zero': 089}9091IF['PRE_HO'] = {92    'fname': 'precip.mon.total.v401.nc',93    'value': 'precip',94    'fn_postfix': '_pre_obs.txt',95    'coef': ' * 10',96    'group_func': 'sum()',97    'lat_resolution': 0.5,98    'lat_zero': 0.25,99    'lon_resolution': 0.5,100    'lon_zero': 0.25101}102103104#105# END CONFIG106#107108# functions109def to_digit(x):110    try:111        if x.isdigit():112            return int(x)113        return float(x)114    except ValueError:115        return False116117118# Finding  nearest grid square119def find_nearest(coord, scale, zero):120    sign = 1121    if coord < 0:122        sign = -1123        coord = abs(coord)124125    node = ceil(coord / scale) if coord - floor(coord / scale) > scale / 2 else floor(coord / scale)126    return (node * scale - zero) * sign127128129# Working with data130def get_data_by_year(t_elem, config, f_lat, f_lon):131    yearsum = {}132    lon = find_nearest(f_lon, config['lon_resolution'], config['lon_zero'])133    lat = find_nearest(f_lat, config['lat_resolution'], config['lat_zero'])134135    idx_lat = where(t_elem.variables["lat"][:] == lat)[0][0]136    idx_lon = where(t_elem.variables["lon"][:] == lon)[0][0]137138    calendar = t_elem.variables["time"].calendar if hasattr(t_elem.variables["time"], 'calendar') else 'standard'139    dates = num2date(t_elem.variables["time"][:], t_elem.variables["time"].units, calendar=calendar)140141    for time in dates:142        time_id = date2index(time, t_elem.variables["time"])143        if time.year not in yearsum:144            yearsum[time.year] = [t_elem.variables[config['value']][time_id][idx_lat][idx_lon]]145        else:146            yearsum[time.year].append(t_elem.variables[config['value']][time_id][idx_lat][idx_lon])147148    for tyear in yearsum:149        yearsum[tyear] = array(yearsum[tyear])150        yearsum[tyear] = eval("yearsum[tyear]." + config['group_func'])151        yearsum[tyear] = eval("yearsum[tyear] " + config['coef'])152    return yearsum, lon, lat153154155# input parameters156if len(sys.argv) < 4:157    print('Use command: python3 timeseries_meteo.py LON LAT ID')158    exit(1)159160LON = to_digit(sys.argv[1])161LAT = to_digit(sys.argv[2])162ID = to_digit(sys.argv[3])163164if not LON or not LAT or not ID:165    print('Use command: python3 timeseries_meteo.py LON LAT ID')166    exit(1)167168if LON > 360 or LAT > 90 or LAT < -90:169    print('Wrong coordinates')170    exit(1)171172# load all data from files173rootgrp = {}174175for i in IF:176    try:177        rootgrp[i] = Dataset(IN_DIR + str(IF[i]['fname']), "r")178    except OSError:179        print("Can't open file: %s" % IN_DIR + str(IF[i]['fname']))180        exit(1)181182# remove old files183for i in IF:184    try:185        unlink('{}{}{}'.format(OUT_DIR, ID, IF[i]['fn_postfix']))186    except OSError:187        continue188189# create new files190for i in rootgrp:191    print(IF[i]['fname'])192    result, grid_lon, grid_lat = get_data_by_year(rootgrp[i], IF[i], LAT, LON)193    if result:194        with open('{}{}{}'.format(OUT_DIR, ID, IF[i]['fn_postfix']), 'a') as file:195            for year in result:
...

history.py

Source:history.py

...21        comm_table[type] = (group_func, { })22def get_history(ch, type):23    '''return the communication history for a character.'''24    group_func, table = comm_table[type]25    key = group_func(ch)26    if not key in table:27        return [ ]28    return table[key]29def add_history(ch, type, mssg):30    group_func, table = comm_table[type]31    key = group_func(ch)32    if key != None:33        if not key in table:34            table[key] = [ ]35        table[key].append(mssg)36        # make sure we don't get too big37        while len(table[key]) > MAX_HISTORY_LEN:38            table[key].pop(0)39################################################################################40# commands41################################################################################42def cmd_history(ch, cmd, arg):43    '''Communication logs are stored as you receive communication. To review44       communication you have used, you can use the history command.'''45    arg = arg.lower()46    if arg == "":47        opts = comm_table.keys()48        opts.sort()49        ch.send("History logs available to you are:")50        ch.send("  " + ", ".join(opts))51    elif not arg in comm_table:52        ch.send("There is no history log for that type of communication.")53    else:54        group_func, table = comm_table[arg]55        key = group_func(ch)56        if not key in table:57            ch.send("Your history is empty.")58        else:59            ch.page("\r\n".join(table[key]) + "\r\n")60################################################################################61# initialization62################################################################################...

cogs.py

Source:cogs.py

...12        if update.message.chat.type == 'private':13            result = await private_func(update, context)14            return result15        else:16            result = await group_func(update, context)17            return result...

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