import shutil
from functools import reduce

from conversions import symbol_for, bar_for, arrow_for

CELL_SIZE=4

def space_for_zero(number):
    return str(number) if number is not 0 else ''


def format_row(data_row, columns):
    def format_cell(data):
        return ("{:>" + str(CELL_SIZE) + "}").format(data)
    return "".join([format_cell(cell) for cell in data_row])[0:columns]

def flatten_rows(rows_sources):
    return [row
            for rows in rows_sources
            for row in rows]



def symbol_row(datapoints, columns):
    return [format_row([symbol_for(dp['symbol']) + ' ' for dp in datapoints], columns)]



def temperature_line(datapoints, columns):
    return [format_row([str(dp['temperature']) + '°' for dp in datapoints], columns)]

def temperature_graph(datapoints, columns):
    def temperature_graph_row(datapoints, row_temp, columns):
        return format_row([(str(row_temp)+'°' if dp['temperature'] == row_temp else ' ') for dp in datapoints], columns)
    min_temp = min([dp['temperature'] for dp in datapoints])
    max_temp = max([dp['temperature'] for dp in datapoints])
    return reversed([temperature_graph_row(datapoints, step_temp, columns)
                     for step_temp in range(min_temp, max_temp + 1)])



def precip_bars(datapoints, columns):
    return [format_row([bar_for(dp['precip']['min']) + bar_for(dp['precip']['value']) + bar_for(dp['precip']['max']) for dp in datapoints], columns)]
            
def precip_values(datapoints, columns):
    return [format_row([space_for_zero(dp['precip']['value']) + ' ' for dp in datapoints], columns)]



def wind_line(datapoints, columns):
    return [format_row([str(dp['wind']['speed']) + arrow_for(dp['wind']['direction']) for dp in datapoints], columns)]



def pick_hour(instant):
    return instant[11:13]

def hour_line(datapoints, columns):
    return [format_row([pick_hour(dp['instant']) + 'h' for dp in datapoints], columns)]


def metadata_rows(metadata):
    return ["Forecast created " + metadata['lastupdate'].isoformat(' '),
            "Next forecast at " + metadata['nextupdate'].isoformat(' ')]

def credit_rows(credit):
    return ['',
            credit['text'],
            credit['link']]



def calculate_columns(max_cells):
    terminal_columns = shutil.get_terminal_size().columns
    cells = min(terminal_columns // CELL_SIZE, max_cells)
    return cells * CELL_SIZE
    
def graph_format(datapoints, metadata, credit, max_datapoints, args):
    columns = calculate_columns(max_datapoints)
    return flatten_rows([metadata_rows(metadata),
                         symbol_row(datapoints, columns),
                         temperature_graph(datapoints, columns) if args['temp'] == 'graph' else [],
                         temperature_line(datapoints, columns) if args['temp'] == 'line' else [],
                         precip_bars(datapoints, columns) if args['precip'] in ['all', 'bars'] else [],
                         precip_values(datapoints, columns) if args['precip'] in ['all', 'values'] else [],
                         wind_line(datapoints, columns),
                         hour_line(datapoints, columns),
                         credit_rows(credit)])

def _table_rows(datapoints):
    def format_row(result, value):
        return result + ("|{:>" + str(CELL_SIZE) + "}").format(value)
    return [reduce(format_row, 
                   [pick_hour(dp['instant']) + 'h',
                    symbol_for(dp['symbol']),
                    str(dp['temperature']) + '°',
                    space_for_zero(dp['precip']['value']),
                    bar_for(dp['precip']['min']) + bar_for(dp['precip']['value']) + bar_for(dp['precip']['max']),
                    str(dp['wind']['speed']) + arrow_for(dp['wind']['direction'])],
                   '')
            for dp in datapoints]
    
def table_format(datapoints, metadata, credit, max_datapoints, args):
    return flatten_rows([metadata_rows(metadata),
                         _table_rows(datapoints),
                         credit_rows(credit)])


4ee438615e98a1660e438dc37ccca6fe784a4cbd
<mask token>


def space_for_zero(number):
    return str(number) if number is not 0 else ''


def format_row(data_row, columns):

    def format_cell(data):
        return ('{:>' + str(CELL_SIZE) + '}').format(data)
    return ''.join([format_cell(cell) for cell in data_row])[0:columns]


def flatten_rows(rows_sources):
    return [row for rows in rows_sources for row in rows]


def symbol_row(datapoints, columns):
    return [format_row([(symbol_for(dp['symbol']) + ' ') for dp in
        datapoints], columns)]


def temperature_line(datapoints, columns):
    return [format_row([(str(dp['temperature']) + '°') for dp in datapoints
        ], columns)]


<mask token>


def precip_bars(datapoints, columns):
    return [format_row([(bar_for(dp['precip']['min']) + bar_for(dp['precip'
        ]['value']) + bar_for(dp['precip']['max'])) for dp in datapoints],
        columns)]


<mask token>


def wind_line(datapoints, columns):
    return [format_row([(str(dp['wind']['speed']) + arrow_for(dp['wind'][
        'direction'])) for dp in datapoints], columns)]


def pick_hour(instant):
    return instant[11:13]


def hour_line(datapoints, columns):
    return [format_row([(pick_hour(dp['instant']) + 'h') for dp in
        datapoints], columns)]


<mask token>


def credit_rows(credit):
    return ['', credit['text'], credit['link']]


def calculate_columns(max_cells):
    terminal_columns = shutil.get_terminal_size().columns
    cells = min(terminal_columns // CELL_SIZE, max_cells)
    return cells * CELL_SIZE


<mask token>


def _table_rows(datapoints):

    def format_row(result, value):
        return result + ('|{:>' + str(CELL_SIZE) + '}').format(value)
    return [reduce(format_row, [pick_hour(dp['instant']) + 'h', symbol_for(
        dp['symbol']), str(dp['temperature']) + '°', space_for_zero(dp[
        'precip']['value']), bar_for(dp['precip']['min']) + bar_for(dp[
        'precip']['value']) + bar_for(dp['precip']['max']), str(dp['wind'][
        'speed']) + arrow_for(dp['wind']['direction'])], '') for dp in
        datapoints]


<mask token>

<mask token>


def space_for_zero(number):
    return str(number) if number is not 0 else ''


def format_row(data_row, columns):

    def format_cell(data):
        return ('{:>' + str(CELL_SIZE) + '}').format(data)
    return ''.join([format_cell(cell) for cell in data_row])[0:columns]


def flatten_rows(rows_sources):
    return [row for rows in rows_sources for row in rows]


def symbol_row(datapoints, columns):
    return [format_row([(symbol_for(dp['symbol']) + ' ') for dp in
        datapoints], columns)]


def temperature_line(datapoints, columns):
    return [format_row([(str(dp['temperature']) + '°') for dp in datapoints
        ], columns)]


def temperature_graph(datapoints, columns):

    def temperature_graph_row(datapoints, row_temp, columns):
        return format_row([(str(row_temp) + '°' if dp['temperature'] ==
            row_temp else ' ') for dp in datapoints], columns)
    min_temp = min([dp['temperature'] for dp in datapoints])
    max_temp = max([dp['temperature'] for dp in datapoints])
    return reversed([temperature_graph_row(datapoints, step_temp, columns) for
        step_temp in range(min_temp, max_temp + 1)])


def precip_bars(datapoints, columns):
    return [format_row([(bar_for(dp['precip']['min']) + bar_for(dp['precip'
        ]['value']) + bar_for(dp['precip']['max'])) for dp in datapoints],
        columns)]


<mask token>


def wind_line(datapoints, columns):
    return [format_row([(str(dp['wind']['speed']) + arrow_for(dp['wind'][
        'direction'])) for dp in datapoints], columns)]


def pick_hour(instant):
    return instant[11:13]


def hour_line(datapoints, columns):
    return [format_row([(pick_hour(dp['instant']) + 'h') for dp in
        datapoints], columns)]


def metadata_rows(metadata):
    return ['Forecast created ' + metadata['lastupdate'].isoformat(' '), 
        'Next forecast at ' + metadata['nextupdate'].isoformat(' ')]


def credit_rows(credit):
    return ['', credit['text'], credit['link']]


def calculate_columns(max_cells):
    terminal_columns = shutil.get_terminal_size().columns
    cells = min(terminal_columns // CELL_SIZE, max_cells)
    return cells * CELL_SIZE


<mask token>


def _table_rows(datapoints):

    def format_row(result, value):
        return result + ('|{:>' + str(CELL_SIZE) + '}').format(value)
    return [reduce(format_row, [pick_hour(dp['instant']) + 'h', symbol_for(
        dp['symbol']), str(dp['temperature']) + '°', space_for_zero(dp[
        'precip']['value']), bar_for(dp['precip']['min']) + bar_for(dp[
        'precip']['value']) + bar_for(dp['precip']['max']), str(dp['wind'][
        'speed']) + arrow_for(dp['wind']['direction'])], '') for dp in
        datapoints]


def table_format(datapoints, metadata, credit, max_datapoints, args):
    return flatten_rows([metadata_rows(metadata), _table_rows(datapoints),
        credit_rows(credit)])

<mask token>


def space_for_zero(number):
    return str(number) if number is not 0 else ''


def format_row(data_row, columns):

    def format_cell(data):
        return ('{:>' + str(CELL_SIZE) + '}').format(data)
    return ''.join([format_cell(cell) for cell in data_row])[0:columns]


def flatten_rows(rows_sources):
    return [row for rows in rows_sources for row in rows]


def symbol_row(datapoints, columns):
    return [format_row([(symbol_for(dp['symbol']) + ' ') for dp in
        datapoints], columns)]


def temperature_line(datapoints, columns):
    return [format_row([(str(dp['temperature']) + '°') for dp in datapoints
        ], columns)]


def temperature_graph(datapoints, columns):

    def temperature_graph_row(datapoints, row_temp, columns):
        return format_row([(str(row_temp) + '°' if dp['temperature'] ==
            row_temp else ' ') for dp in datapoints], columns)
    min_temp = min([dp['temperature'] for dp in datapoints])
    max_temp = max([dp['temperature'] for dp in datapoints])
    return reversed([temperature_graph_row(datapoints, step_temp, columns) for
        step_temp in range(min_temp, max_temp + 1)])


def precip_bars(datapoints, columns):
    return [format_row([(bar_for(dp['precip']['min']) + bar_for(dp['precip'
        ]['value']) + bar_for(dp['precip']['max'])) for dp in datapoints],
        columns)]


<mask token>


def wind_line(datapoints, columns):
    return [format_row([(str(dp['wind']['speed']) + arrow_for(dp['wind'][
        'direction'])) for dp in datapoints], columns)]


def pick_hour(instant):
    return instant[11:13]


def hour_line(datapoints, columns):
    return [format_row([(pick_hour(dp['instant']) + 'h') for dp in
        datapoints], columns)]


def metadata_rows(metadata):
    return ['Forecast created ' + metadata['lastupdate'].isoformat(' '), 
        'Next forecast at ' + metadata['nextupdate'].isoformat(' ')]


def credit_rows(credit):
    return ['', credit['text'], credit['link']]


def calculate_columns(max_cells):
    terminal_columns = shutil.get_terminal_size().columns
    cells = min(terminal_columns // CELL_SIZE, max_cells)
    return cells * CELL_SIZE


def graph_format(datapoints, metadata, credit, max_datapoints, args):
    columns = calculate_columns(max_datapoints)
    return flatten_rows([metadata_rows(metadata), symbol_row(datapoints,
        columns), temperature_graph(datapoints, columns) if args['temp'] ==
        'graph' else [], temperature_line(datapoints, columns) if args[
        'temp'] == 'line' else [], precip_bars(datapoints, columns) if args
        ['precip'] in ['all', 'bars'] else [], precip_values(datapoints,
        columns) if args['precip'] in ['all', 'values'] else [], wind_line(
        datapoints, columns), hour_line(datapoints, columns), credit_rows(
        credit)])


def _table_rows(datapoints):

    def format_row(result, value):
        return result + ('|{:>' + str(CELL_SIZE) + '}').format(value)
    return [reduce(format_row, [pick_hour(dp['instant']) + 'h', symbol_for(
        dp['symbol']), str(dp['temperature']) + '°', space_for_zero(dp[
        'precip']['value']), bar_for(dp['precip']['min']) + bar_for(dp[
        'precip']['value']) + bar_for(dp['precip']['max']), str(dp['wind'][
        'speed']) + arrow_for(dp['wind']['direction'])], '') for dp in
        datapoints]


def table_format(datapoints, metadata, credit, max_datapoints, args):
    return flatten_rows([metadata_rows(metadata), _table_rows(datapoints),
        credit_rows(credit)])

import shutil
from functools import reduce
from conversions import symbol_for, bar_for, arrow_for
CELL_SIZE = 4


def space_for_zero(number):
    return str(number) if number is not 0 else ''


def format_row(data_row, columns):

    def format_cell(data):
        return ('{:>' + str(CELL_SIZE) + '}').format(data)
    return ''.join([format_cell(cell) for cell in data_row])[0:columns]


def flatten_rows(rows_sources):
    return [row for rows in rows_sources for row in rows]


def symbol_row(datapoints, columns):
    return [format_row([(symbol_for(dp['symbol']) + ' ') for dp in
        datapoints], columns)]


def temperature_line(datapoints, columns):
    return [format_row([(str(dp['temperature']) + '°') for dp in datapoints
        ], columns)]


def temperature_graph(datapoints, columns):

    def temperature_graph_row(datapoints, row_temp, columns):
        return format_row([(str(row_temp) + '°' if dp['temperature'] ==
            row_temp else ' ') for dp in datapoints], columns)
    min_temp = min([dp['temperature'] for dp in datapoints])
    max_temp = max([dp['temperature'] for dp in datapoints])
    return reversed([temperature_graph_row(datapoints, step_temp, columns) for
        step_temp in range(min_temp, max_temp + 1)])


def precip_bars(datapoints, columns):
    return [format_row([(bar_for(dp['precip']['min']) + bar_for(dp['precip'
        ]['value']) + bar_for(dp['precip']['max'])) for dp in datapoints],
        columns)]


def precip_values(datapoints, columns):
    return [format_row([(space_for_zero(dp['precip']['value']) + ' ') for
        dp in datapoints], columns)]


def wind_line(datapoints, columns):
    return [format_row([(str(dp['wind']['speed']) + arrow_for(dp['wind'][
        'direction'])) for dp in datapoints], columns)]


def pick_hour(instant):
    return instant[11:13]


def hour_line(datapoints, columns):
    return [format_row([(pick_hour(dp['instant']) + 'h') for dp in
        datapoints], columns)]


def metadata_rows(metadata):
    return ['Forecast created ' + metadata['lastupdate'].isoformat(' '), 
        'Next forecast at ' + metadata['nextupdate'].isoformat(' ')]


def credit_rows(credit):
    return ['', credit['text'], credit['link']]


def calculate_columns(max_cells):
    terminal_columns = shutil.get_terminal_size().columns
    cells = min(terminal_columns // CELL_SIZE, max_cells)
    return cells * CELL_SIZE


def graph_format(datapoints, metadata, credit, max_datapoints, args):
    columns = calculate_columns(max_datapoints)
    return flatten_rows([metadata_rows(metadata), symbol_row(datapoints,
        columns), temperature_graph(datapoints, columns) if args['temp'] ==
        'graph' else [], temperature_line(datapoints, columns) if args[
        'temp'] == 'line' else [], precip_bars(datapoints, columns) if args
        ['precip'] in ['all', 'bars'] else [], precip_values(datapoints,
        columns) if args['precip'] in ['all', 'values'] else [], wind_line(
        datapoints, columns), hour_line(datapoints, columns), credit_rows(
        credit)])


def _table_rows(datapoints):

    def format_row(result, value):
        return result + ('|{:>' + str(CELL_SIZE) + '}').format(value)
    return [reduce(format_row, [pick_hour(dp['instant']) + 'h', symbol_for(
        dp['symbol']), str(dp['temperature']) + '°', space_for_zero(dp[
        'precip']['value']), bar_for(dp['precip']['min']) + bar_for(dp[
        'precip']['value']) + bar_for(dp['precip']['max']), str(dp['wind'][
        'speed']) + arrow_for(dp['wind']['direction'])], '') for dp in
        datapoints]


def table_format(datapoints, metadata, credit, max_datapoints, args):
    return flatten_rows([metadata_rows(metadata), _table_rows(datapoints),
        credit_rows(credit)])

import shutil
from functools import reduce

from conversions import symbol_for, bar_for, arrow_for

CELL_SIZE=4

def space_for_zero(number):
    return str(number) if number is not 0 else ''


def format_row(data_row, columns):
    def format_cell(data):
        return ("{:>" + str(CELL_SIZE) + "}").format(data)
    return "".join([format_cell(cell) for cell in data_row])[0:columns]

def flatten_rows(rows_sources):
    return [row
            for rows in rows_sources
            for row in rows]



def symbol_row(datapoints, columns):
    return [format_row([symbol_for(dp['symbol']) + ' ' for dp in datapoints], columns)]



def temperature_line(datapoints, columns):
    return [format_row([str(dp['temperature']) + '°' for dp in datapoints], columns)]

def temperature_graph(datapoints, columns):
    def temperature_graph_row(datapoints, row_temp, columns):
        return format_row([(str(row_temp)+'°' if dp['temperature'] == row_temp else ' ') for dp in datapoints], columns)
    min_temp = min([dp['temperature'] for dp in datapoints])
    max_temp = max([dp['temperature'] for dp in datapoints])
    return reversed([temperature_graph_row(datapoints, step_temp, columns)
                     for step_temp in range(min_temp, max_temp + 1)])



def precip_bars(datapoints, columns):
    return [format_row([bar_for(dp['precip']['min']) + bar_for(dp['precip']['value']) + bar_for(dp['precip']['max']) for dp in datapoints], columns)]
            
def precip_values(datapoints, columns):
    return [format_row([space_for_zero(dp['precip']['value']) + ' ' for dp in datapoints], columns)]



def wind_line(datapoints, columns):
    return [format_row([str(dp['wind']['speed']) + arrow_for(dp['wind']['direction']) for dp in datapoints], columns)]



def pick_hour(instant):
    return instant[11:13]

def hour_line(datapoints, columns):
    return [format_row([pick_hour(dp['instant']) + 'h' for dp in datapoints], columns)]


def metadata_rows(metadata):
    return ["Forecast created " + metadata['lastupdate'].isoformat(' '),
            "Next forecast at " + metadata['nextupdate'].isoformat(' ')]

def credit_rows(credit):
    return ['',
            credit['text'],
            credit['link']]



def calculate_columns(max_cells):
    terminal_columns = shutil.get_terminal_size().columns
    cells = min(terminal_columns // CELL_SIZE, max_cells)
    return cells * CELL_SIZE
    
def graph_format(datapoints, metadata, credit, max_datapoints, args):
    columns = calculate_columns(max_datapoints)
    return flatten_rows([metadata_rows(metadata),
                         symbol_row(datapoints, columns),
                         temperature_graph(datapoints, columns) if args['temp'] == 'graph' else [],
                         temperature_line(datapoints, columns) if args['temp'] == 'line' else [],
                         precip_bars(datapoints, columns) if args['precip'] in ['all', 'bars'] else [],
                         precip_values(datapoints, columns) if args['precip'] in ['all', 'values'] else [],
                         wind_line(datapoints, columns),
                         hour_line(datapoints, columns),
                         credit_rows(credit)])

def _table_rows(datapoints):
    def format_row(result, value):
        return result + ("|{:>" + str(CELL_SIZE) + "}").format(value)
    return [reduce(format_row, 
                   [pick_hour(dp['instant']) + 'h',
                    symbol_for(dp['symbol']),
                    str(dp['temperature']) + '°',
                    space_for_zero(dp['precip']['value']),
                    bar_for(dp['precip']['min']) + bar_for(dp['precip']['value']) + bar_for(dp['precip']['max']),
                    str(dp['wind']['speed']) + arrow_for(dp['wind']['direction'])],
                   '')
            for dp in datapoints]
    
def table_format(datapoints, metadata, credit, max_datapoints, args):
    return flatten_rows([metadata_rows(metadata),
                         _table_rows(datapoints),
                         credit_rows(credit)])

