def RuleBasedNlg(action,slots):
response = ''
data = None
if action == 'exchange':
data = exchange(slots[0],slots[1])
response = "The exchange rate from {0} to {1} is {2}".format( slots[0], slots[1], data)
elif action == 'get_exchange_rate':
currency = slots[0]
ex_type = slots[1]
direction = slots[2]
data = get_exchange_rate(slots[0],slots[1],slots[2])
response = "The {1} exchange rate for {0} NTD {2} {3} is {4} in BANK OF TAIWAN".format(ex_type+'ing', direction, 'from' if ex_type == 'buy' else 'for', currency, data)
elif action == 'query':
symbol = name2sym(slots[0])
date = slots[1]
data = query(symbol,date)
item = ['openn', 'high', 'low', 'close', 'volume']
response = "Share price on date {0} ".format(date)
for i in range(len(item)):
response += "{0} : {1} ".format(item[i],data[i])
elif action == 'USDX':
data = USDX( slots[0], slots[1])
for i in range(len(data)):
response += 'Date: ' + data[i][0] + " USDX: " + data[i][1] + '\n'
if data == None:
response = 'Cannot find the match information. Sincerely appologize.'
return response
def exchange_inverse ( n ): #*****************************************************************************80 # ## EXCHANGE_INVERSE returns the inverse of the exchange matrix. # # Licensing: # # This code is distributed under the GNU LGPL license. # # Modified: # # 16 March 2015 # # Author: # # John Burkardt # # Parameters: # # Input, integer N, the order of the matrix. # # Output, real A(N,N), the matrix. # a = exchange ( n, n ) return a
def RuleBasedNlg(action,slots):
response = ''
if action == 'exchange':
if len(slots) == 2:
rate = exchange(slots[0],slots[1])
response = "The exchange rate from {0} to {1} is {2}".format( slots[0], slots[1], rate)
else:
response = "The exchange rate from {0} to {1} is {2}"
elif action == 'get_exchange_rate':
if len(slots)==3:
currency = slots[0]
ex_type = slots[1]
direction = slots[2]
rate = get_exchange_rate(slots[0],slots[1],slots[2])
response = "The {1} exchange rate for {0} NTD {2} {3} is {4} in BANK OF TAIWAN".format(ex_type+'ing', direction, 'from' if ex_type == 'buy' else 'for', currency, rate)
else:
response = "The {1} exchange rate for {0} NTD {2} {3} is {4} in BANK OF TAIWAN"
elif action == 'query':
if len(slots) == 2:
symbol = name2sym(slot[0])
date = slot[1]
data = query(symbol,date)
item = ['openn', 'high', 'low', 'close', 'volume']
response = "Share price on date {0} ".format(date)
for i in range(len(item)):
response += "{0} : {1} ".format(item[i],data[i])
else:
response = "Share price on date {0} "
return response
def exchange_test ( ): #*****************************************************************************80 # ## EXCHANGE_TEST tests EXCHANGE. # # Licensing: # # This code is distributed under the GNU LGPL license. # # Modified: # # 26 January 2015 # # Author: # # John Burkardt # from r8mat_print import r8mat_print print '' print 'EXCHANGE_TEST' print ' EXCHANGE computes the EXCHANGE matrix.' m = 4 n = m a = exchange ( m, n ) r8mat_print ( m, n, a, ' EXCHANGE matrix:' ) print '' print 'EXCHANGE_TEST' print ' Normal end of execution.' return
def exchange_inverse(n):
#*****************************************************************************80
#
## EXCHANGE_INVERSE returns the inverse of the exchange matrix.
#
# Licensing:
#
# This code is distributed under the GNU LGPL license.
#
# Modified:
#
# 16 March 2015
#
# Author:
#
# John Burkardt
#
# Parameters:
#
# Input, integer N, the order of the matrix.
#
# Output, real A(N,N), the matrix.
#
a = exchange(n, n)
return a
def exchange_test():
#*****************************************************************************80
#
## EXCHANGE_TEST tests EXCHANGE.
#
# Licensing:
#
# This code is distributed under the GNU LGPL license.
#
# Modified:
#
# 26 January 2015
#
# Author:
#
# John Burkardt
#
from r8mat_print import r8mat_print
print ''
print 'EXCHANGE_TEST'
print ' EXCHANGE computes the EXCHANGE matrix.'
m = 4
n = m
a = exchange(m, n)
r8mat_print(m, n, a, ' EXCHANGE matrix:')
print ''
print 'EXCHANGE_TEST'
print ' Normal end of execution.'
return
def exchange_determinant_test():
#*****************************************************************************80
#
## EXCHANGE_DETERMINANT_TEST tests EXCHANGE_DETERMINANT.
#
# Licensing:
#
# This code is distributed under the GNU LGPL license.
#
# Modified:
#
# 26 January 2015
#
# Author:
#
# John Burkardt
#
from exchange import exchange
from r8mat_print import r8mat_print
print ''
print 'EXCHANGE_DETERMINANT_TEST'
print ' EXCHANGE_DETERMINANT computes the determinant of the EXCHANGE matrix.'
print ''
m = 4
n = m
a = exchange(m, n)
r8mat_print(m, n, a, ' EXCHANGE matrix:')
value = exchange_determinant(n)
print ''
print ' Value = %g' % (value)
print ''
print 'EXCHANGE_DETERMINANT_TEST'
print ' Normal end of execution.'
return
def exchange_condition_test():
#*****************************************************************************80
#
## EXCHANGE_CONDITION_TEST tests EXCHANGE_CONDITION.
#
# Licensing:
#
# This code is distributed under the GNU LGPL license.
#
# Modified:
#
# 10 February 2015
#
# Author:
#
# John Burkardt
#
from exchange import exchange
from r8mat_print import r8mat_print
print ''
print 'EXCHANGE_CONDITION_TEST'
print ' EXCHANGE_CONDITION computes the condition of the EXCHANGE matrix.'
print ''
m = 4
n = m
a = exchange(m, n)
r8mat_print(m, n, a, ' EXCHANGE matrix:')
value = exchange_condition(n)
print ''
print ' Value = %g' % (value)
print ''
print 'EXCHANGE_CONDITION_TEST'
print ' Normal end of execution.'
return
def exchange_determinant_test ( ): #*****************************************************************************80 # ## EXCHANGE_DETERMINANT_TEST tests EXCHANGE_DETERMINANT. # # Licensing: # # This code is distributed under the GNU LGPL license. # # Modified: # # 26 January 2015 # # Author: # # John Burkardt # from exchange import exchange from r8mat_print import r8mat_print print '' print 'EXCHANGE_DETERMINANT_TEST' print ' EXCHANGE_DETERMINANT computes the determinant of the EXCHANGE matrix.' print '' m = 4 n = m a = exchange ( m, n ) r8mat_print ( m, n, a, ' EXCHANGE matrix:' ) value = exchange_determinant ( n ) print '' print ' Value = %g' % ( value ) print '' print 'EXCHANGE_DETERMINANT_TEST' print ' Normal end of execution.' return
def exchange_condition_test ( ): #*****************************************************************************80 # ## EXCHANGE_CONDITION_TEST tests EXCHANGE_CONDITION. # # Licensing: # # This code is distributed under the GNU LGPL license. # # Modified: # # 10 February 2015 # # Author: # # John Burkardt # from exchange import exchange from r8mat_print import r8mat_print print '' print 'EXCHANGE_CONDITION_TEST' print ' EXCHANGE_CONDITION computes the condition of the EXCHANGE matrix.' print '' m = 4 n = m a = exchange ( m, n ) r8mat_print ( m, n, a, ' EXCHANGE matrix:' ) value = exchange_condition ( n ) print '' print ' Value = %g' % ( value ) print '' print 'EXCHANGE_CONDITION_TEST' print ' Normal end of execution.' return
#coding: utf-8
__author__ = 'terry'
import time
from exchange import exchange
#数据库连接信息
host="localhost"
user="******"
passwd="root"
dbname="exchange"
charset="utf8"
ex = exchange()
conn = ex.makeConnectionToMySQL(host,user,passwd,dbname,charset)
while 1:
contents = ex.readHtml()
ex.splitAndStore(contents,conn)
#每小时更新一次数据
time.sleep(60*60)
import ccxt
import time
import datetime as dt
from time import sleep
from datetime import timedelta
from notification import notificator
from exchange import exchange, api_requests_frequency
from market_data import check_coin_price
from config import get_config
from balance import fetch_balance
show_error = "YES"
exchange = exchange()
api_requests_frequency = api_requests_frequency()
use_limit_orders = get_config()["use_limit_orders"]
exchange_fee = float(get_config()["exchange_fee"])
use_bnb_for_fee = get_config()["use_bnb_for_fee"]
coin_2 = get_config()["coin_2"].upper()
start_balance = fetch_balance(coin_2)
cancel_order_by_time = get_config()["cancel_order_by_time"]
time_to_cancel_order_by_inactivity_minutes = int(
get_config()["time_to_cancel_order_by_inactivity_minutes"])
total_profit_for_this_session = 0.0
balance_on_session_start = start_balance
#coding: utf-8
__author__ = 'terry'
import time
from exchange import exchange
#数据库连接信息
host="" // MySQL host
user="" // MySQL username
passwd="" // MySQL password
dbname="" // database name
charset="utf8" // charset
ex = exchange()
conn = ex.makeConnectionToMySQL(host,user,passwd,dbname,charset)
while 1:
contents = ex.readHtml()
ex.splitAndStore(contents,conn)
#每小时更新一次数据
time.sleep(60)
def trade(rate_):
rate_now = rate_
print()
print(f"Rate now is {rate_now}")
print()
print("If you want go on: 1")
print("If you want change your coin: 2")
print("Quit from exchange: 3")
print()
decision = input('What do you want to do?: ')
if decision == '1':
while True:
try:
r = exchange(rate_now)
except TypeError:
print(
'---------------------------------------------------------------------'
)
print("GAME OVER!")
print(
f"Your results are {my_kc_wallet_history[-1]}kc and {my_dollar_wallet_history[-1]}$"
)
break
print()
trade(r)
break
elif decision == '2':
while True:
try:
int(rate_now)
except ValueError:
print(
'---------------------------------------------------------------------'
)
print("GAME OVER!")
print(
f"Your results are {my_kc_wallet_history[-1]}kc and {my_dollar_wallet_history[-1]}$"
)
break
print(
f"Your KC wallet: {my_kc_wallet_history[-1]}kc"
)
try:
change_count = int(
input("How much coins you want change?: "))
except ValueError:
print()
print('Error!')
print(
'---------------------------------------------------------------------'
)
trade(rate_now)
if change_count <= 0:
print()
print(
"Error! You can't cnange null or negative amount of coins"
)
print(
'---------------------------------------------------------------------'
)
trade(rate_now)
if change_count > my_kc_wallet_history[-1]:
print()
print("Error! You don't have so many coins")
print(
'---------------------------------------------------------------------'
)
trade(rate_now)
kc_wallet(-change_count)
dollar_wallet(change_count, rate_now)
print()
print("Ok!")
print()
print(
f"Your KC wallet: {my_kc_wallet_history[-1]}kc"
)
print(
f"Your dollar wallet: {my_dollar_wallet_history[-1]}$"
)
print(
'---------------------------------------------------------------------'
)
trade(rate_now)
break
elif decision == '3':
print()
print("Goodbye!")
print(
'---------------------------------------------------------------------'
)
actions(rate_now)
else:
print()
print('Error!')
print(
'---------------------------------------------------------------------'
)
trade(rate_now)
def exchangeCall(bot: Bot, update: Update):
exchange.exchange(bot, update)
'Upfront Payment': 'inne',
}
deductible = {
'o-dzielo': decimal.Decimal(0.2),
'zlecenie': decimal.Decimal(0.2),
'inne': decimal.Decimal(0),
}
need_advance = ['o-dzielo', 'zlecenie',
'inne' # nieobowiazkowe
]
paid_advance = paid_advances.get(month, 0)
for income in month_incomes:
pln = exchange(amount=float(income.amount),
date=income.date,
currency='1 USD')
pln = money_round(decimal.Decimal(pln))
type = type_map.get(income.type, income.type)
country = countries[income.client]
by_country[country] += pln
sums[type] += pln
sums_global[type] += pln
print('%s, kwota: %s USD = %s PLN (before fee %s USD), klient: %s, umowa: %s, kraj: %s' % (
income.date, income.amount, pln, income.amount_before_fee, income.client, type, country))
print()
print('Umowy:')
for k, v in sums.items():
print(' %s: %s PLN' % (k, v))
print('W sumie: %s PLN' % sum(sums.values()))
def test_condition():
#*****************************************************************************80
#
## TEST_CONDITION tests the L1 condition number computations.
#
# Licensing:
#
# This code is distributed under the GNU LGPL license.
#
# Modified:
#
# 11 April 2015
#
# Author:
#
# John Burkardt
#
from aegerter import aegerter
from aegerter import aegerter_condition
from aegerter import aegerter_inverse
from bab import bab
from bab import bab_condition
from bab import bab_inverse
from bauer import bauer
from bauer import bauer_condition
from bauer import bauer_inverse
from bis import bis
from bis import bis_condition
from bis import bis_inverse
from biw import biw
from biw import biw_condition
from biw import biw_inverse
from bodewig import bodewig
from bodewig import bodewig_condition
from bodewig import bodewig_inverse
from boothroyd import boothroyd
from boothroyd import boothroyd_condition
from boothroyd import boothroyd_inverse
from combin import combin
from combin import combin_condition
from combin import combin_inverse
from companion import companion
from companion import companion_condition
from companion import companion_inverse
from conex1 import conex1
from conex1 import conex1_condition
from conex1 import conex1_inverse
from conex2 import conex2
from conex2 import conex2_condition
from conex2 import conex2_inverse
from conex3 import conex3
from conex3 import conex3_condition
from conex3 import conex3_inverse
from conex4 import conex4
from conex4 import conex4_condition
from conex4 import conex4_inverse
from daub2 import daub2
from daub2 import daub2_condition
from daub2 import daub2_inverse
from daub4 import daub4
from daub4 import daub4_condition
from daub4 import daub4_inverse
from daub6 import daub6
from daub6 import daub6_condition
from daub6 import daub6_inverse
from daub8 import daub8
from daub8 import daub8_condition
from daub8 import daub8_inverse
from daub10 import daub10
from daub10 import daub10_condition
from daub10 import daub10_inverse
from daub12 import daub12
from daub12 import daub12_condition
from daub12 import daub12_inverse
from diagonal import diagonal
from diagonal import diagonal_condition
from diagonal import diagonal_inverse
from dif2 import dif2
from dif2 import dif2_condition
from dif2 import dif2_inverse
from downshift import downshift
from downshift import downshift_condition
from downshift import downshift_inverse
from exchange import exchange
from exchange import exchange_condition
from exchange import exchange_inverse
from fibonacci2 import fibonacci2
from fibonacci2 import fibonacci2_condition
from fibonacci2 import fibonacci2_inverse
from gfpp import gfpp
from gfpp import gfpp_condition
from gfpp import gfpp_inverse
from givens import givens
from givens import givens_condition
from givens import givens_inverse
from hankel_n import hankel_n
from hankel_n import hankel_n_condition
from hankel_n import hankel_n_inverse
from harman import harman
from harman import harman_condition
from harman import harman_inverse
from hartley import hartley
from hartley import hartley_condition
from hartley import hartley_inverse
from identity import identity
from identity import identity_condition
from identity import identity_inverse
from ill3 import ill3
from ill3 import ill3_condition
from ill3 import ill3_inverse
from jordan import jordan
from jordan import jordan_condition
from jordan import jordan_inverse
from kershaw import kershaw
from kershaw import kershaw_condition
from kershaw import kershaw_inverse
from lietzke import lietzke
from lietzke import lietzke_condition
from lietzke import lietzke_inverse
from maxij import maxij
from maxij import maxij_condition
from maxij import maxij_inverse
from minij import minij
from minij import minij_condition
from minij import minij_inverse
from orth_symm import orth_symm
from orth_symm import orth_symm_condition
from orth_symm import orth_symm_inverse
from oto import oto
from oto import oto_condition
from oto import oto_inverse
from pascal1 import pascal1
from pascal1 import pascal1_condition
from pascal1 import pascal1_inverse
from pascal3 import pascal3
from pascal3 import pascal3_condition
from pascal3 import pascal3_inverse
from pei import pei
from pei import pei_condition
from pei import pei_inverse
from r8_uniform_ab import r8_uniform_ab
from r8mat_norm_l1 import r8mat_norm_l1
from r8vec_uniform_ab import r8vec_uniform_ab
from rodman import rodman
from rodman import rodman_condition
from rodman import rodman_inverse
from rutis1 import rutis1
from rutis1 import rutis1_condition
from rutis1 import rutis1_inverse
from rutis2 import rutis2
from rutis2 import rutis2_condition
from rutis2 import rutis2_inverse
from rutis3 import rutis3
from rutis3 import rutis3_condition
from rutis3 import rutis3_inverse
from rutis5 import rutis5
from rutis5 import rutis5_condition
from rutis5 import rutis5_inverse
from summation import summation
from summation import summation_condition
from summation import summation_inverse
from sweet1 import sweet1
from sweet1 import sweet1_condition
from sweet1 import sweet1_inverse
from sweet2 import sweet2
from sweet2 import sweet2_condition
from sweet2 import sweet2_inverse
from sweet3 import sweet3
from sweet3 import sweet3_condition
from sweet3 import sweet3_inverse
from sweet4 import sweet4
from sweet4 import sweet4_condition
from sweet4 import sweet4_inverse
from tri_upper import tri_upper
from tri_upper import tri_upper_condition
from tri_upper import tri_upper_inverse
from upshift import upshift
from upshift import upshift_condition
from upshift import upshift_inverse
from wilk03 import wilk03
from wilk03 import wilk03_condition
from wilk03 import wilk03_inverse
from wilk04 import wilk04
from wilk04 import wilk04_condition
from wilk04 import wilk04_inverse
from wilk05 import wilk05
from wilk05 import wilk05_condition
from wilk05 import wilk05_inverse
from wilson import wilson
from wilson import wilson_condition
from wilson import wilson_inverse
print ''
print 'TEST_CONDITION'
print ' Compute the L1 condition number of an example of each'
print ' test matrix'
print ''
print ' Title N COND COND'
print ''
#
# AEGERTER
#
title = 'AEGERTER'
n = 5
cond1 = aegerter_condition(n)
a = aegerter(n)
b = aegerter_inverse(n)
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# BAB
#
title = 'BAB'
n = 5
r8_lo = -5.0
r8_hi = +5.0
seed = 123456789
alpha, seed = r8_uniform_ab(r8_lo, r8_hi, seed)
beta, seed = r8_uniform_ab(r8_lo, r8_hi, seed)
cond1 = bab_condition(n, alpha, beta)
a = bab(n, alpha, beta)
b = bab_inverse(n, alpha, beta)
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# BAUER
#
title = 'BAUER'
n = 6
cond1 = bauer_condition()
a = bauer()
b = bauer_inverse()
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# BIS
#
title = 'BIS'
n = 5
r8_lo = -5.0
r8_hi = +5.0
seed = 123456789
alpha, seed = r8_uniform_ab(r8_lo, r8_hi, seed)
beta, seed = r8_uniform_ab(r8_lo, r8_hi, seed)
cond1 = bis_condition(alpha, beta, n)
a = bis(alpha, beta, n, n)
b = bis_inverse(alpha, beta, n)
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# BIW
#
title = 'BIW'
n = 5
cond1 = biw_condition(n)
a = biw(n)
b = biw_inverse(n)
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# BODEWIG
#
title = 'BODEWIG'
n = 4
cond1 = bodewig_condition()
a = bodewig()
b = bodewig_inverse()
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# BOOTHROYD
#
title = 'BOOTHROYD'
n = 5
cond1 = boothroyd_condition(n)
a = boothroyd(n)
b = boothroyd_inverse(n)
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# COMBIN
#
title = 'COMBIN'
n = 3
r8_lo = -5.0
r8_hi = +5.0
seed = 123456789
alpha, seed = r8_uniform_ab(r8_lo, r8_hi, seed)
beta, seed = r8_uniform_ab(r8_lo, r8_hi, seed)
cond1 = combin_condition(alpha, beta, n)
a = combin(alpha, beta, n)
b = combin_inverse(alpha, beta, n)
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# COMPANION
#
title = 'COMPANION'
n = 5
r8_lo = -5.0
r8_hi = +5.0
seed = 123456789
x, seed = r8vec_uniform_ab(n, r8_lo, r8_hi, seed)
cond1 = companion_condition(n, x)
a = companion(n, x)
b = companion_inverse(n, x)
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# CONEX1
#
title = 'CONEX1'
n = 4
r8_lo = -5.0
r8_hi = +5.0
seed = 123456789
alpha, seed = r8_uniform_ab(r8_lo, r8_hi, seed)
cond1 = conex1_condition(alpha)
a = conex1(alpha)
b = conex1_inverse(alpha)
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# CONEX2
#
title = 'CONEX2'
n = 3
r8_lo = -5.0
r8_hi = +5.0
seed = 123456789
alpha, seed = r8_uniform_ab(r8_lo, r8_hi, seed)
cond1 = conex2_condition(alpha)
a = conex2(alpha)
b = conex2_inverse(alpha)
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# CONEX3
#
title = 'CONEX3'
n = 5
cond1 = conex3_condition(n)
a = conex3(n)
b = conex3_inverse(n)
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# CONEX4
#
title = 'CONEX4'
n = 4
cond1 = conex4_condition()
a = conex4()
b = conex4_inverse()
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# DAUB2
#
title = 'DAUB2'
n = 4
cond1 = daub2_condition(n)
a = daub2(n)
b = daub2_inverse(n)
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# DAUB4
#
title = 'DAUB4'
n = 8
cond1 = daub4_condition(n)
a = daub4(n)
b = daub4_inverse(n)
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# DAUB6
#
title = 'DAUB6'
n = 12
cond1 = daub6_condition(n)
a = daub6(n)
b = daub6_inverse(n)
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# DAUB8
#
title = 'DAUB8'
n = 16
cond1 = daub8_condition(n)
a = daub8(n)
b = daub8_inverse(n)
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# DAUB10
#
title = 'DAUB10'
n = 20
cond1 = daub10_condition(n)
a = daub10(n)
b = daub10_inverse(n)
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# DAUB12
#
title = 'DAUB12'
n = 24
cond1 = daub12_condition(n)
a = daub12(n)
b = daub12_inverse(n)
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# DIAGONAL
#
title = 'DIAGONAL'
n = 5
r8_lo = -5.0
r8_hi = +5.0
seed = 123456789
x, seed = r8vec_uniform_ab(n, r8_lo, r8_hi, seed)
cond1 = diagonal_condition(n, x)
a = diagonal(n, n, x)
b = diagonal_inverse(n, x)
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# DIF2
#
title = 'DIF2'
n = 5
cond1 = dif2_condition(n)
a = dif2(n, n)
b = dif2_inverse(n)
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# DOWNSHIFT
#
title = 'DOWNSHIFT'
n = 5
cond1 = downshift_condition(n)
a = downshift(n)
b = downshift_inverse(n)
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# EXCHANGE
#
title = 'EXCHANGE'
n = 5
cond1 = exchange_condition(n)
a = exchange(n, n)
b = exchange_inverse(n)
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# FIBONACCI2
#
title = 'FIBONACCI2'
n = 5
cond1 = fibonacci2_condition(n)
a = fibonacci2(n)
b = fibonacci2_inverse(n)
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# GFPP
#
title = 'GFPP'
n = 5
r8_lo = -5.0
r8_hi = +5.0
seed = 123456789
alpha, seed = r8_uniform_ab(r8_lo, r8_hi, seed)
cond1 = gfpp_condition(n, alpha)
a = gfpp(n, alpha)
b = gfpp_inverse(n, alpha)
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# GIVENS
#
title = 'GIVENS'
n = 5
cond1 = givens_condition(n)
a = givens(n, n)
b = givens_inverse(n)
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# HANKEL_N
#
title = 'HANKEL_N'
n = 5
cond1 = hankel_n_condition(n)
a = hankel_n(n)
b = hankel_n_inverse(n)
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# HARMAN
#
title = 'HARMAN'
n = 8
cond1 = harman_condition()
a = harman()
b = harman_inverse()
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# HARTLEY
#
title = 'HARTLEY'
n = 5
cond1 = hartley_condition(n)
a = hartley(n)
b = hartley_inverse(n)
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# IDENTITY
#
title = 'IDENTITY'
n = 5
cond1 = identity_condition(n)
a = identity(n, n)
b = identity_inverse(n)
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# ILL3
#
title = 'ILL3'
n = 3
cond1 = ill3_condition()
a = ill3()
b = ill3_inverse()
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# JORDAN
#
title = 'JORDAN'
n = 5
r8_lo = -5.0
r8_hi = +5.0
seed = 123456789
alpha, seed = r8_uniform_ab(r8_lo, r8_hi, seed)
cond1 = jordan_condition(n, alpha)
a = jordan(n, n, alpha)
b = jordan_inverse(n, alpha)
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# KERSHAW
#
title = 'KERSHAW'
n = 4
cond1 = kershaw_condition()
a = kershaw()
b = kershaw_inverse()
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# LIETZKE
#
title = 'LIETZKE'
n = 5
cond1 = lietzke_condition(n)
a = lietzke(n)
b = lietzke_inverse(n)
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# MAXIJ
#
title = 'MAXIJ'
n = 5
cond1 = maxij_condition(n)
a = maxij(n, n)
b = maxij_inverse(n)
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# MINIJ
#
title = 'MINIJ'
n = 5
cond1 = minij_condition(n)
a = minij(n, n)
b = minij_inverse(n)
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# ORTH_SYMM
#
title = 'ORTH_SYMM'
n = 5
cond1 = orth_symm_condition(n)
a = orth_symm(n)
b = orth_symm_inverse(n)
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# OTO
#
title = 'OTO'
n = 5
cond1 = oto_condition(n)
a = oto(n, n)
b = oto_inverse(n)
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# PASCAL1
#
title = 'PASCAL1'
n = 5
cond1 = pascal1_condition(n)
a = pascal1(n)
b = pascal1_inverse(n)
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# PASCAL3
#
title = 'PASCAL3'
n = 5
r8_lo = -5.0
r8_hi = +5.0
seed = 123456789
alpha, seed = r8_uniform_ab(r8_lo, r8_hi, seed)
cond1 = pascal3_condition(n, alpha)
a = pascal3(n, alpha)
b = pascal3_inverse(n, alpha)
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# PEI
#
title = 'PEI'
n = 5
r8_lo = -5.0
r8_hi = +5.0
seed = 123456789
alpha, seed = r8_uniform_ab(r8_lo, r8_hi, seed)
cond1 = pei_condition(alpha, n)
a = pei(alpha, n)
b = pei_inverse(alpha, n)
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# RODMAN
#
title = 'RODMAN'
n = 5
r8_lo = -5.0
r8_hi = +5.0
seed = 123456789
alpha, seed = r8_uniform_ab(r8_lo, r8_hi, seed)
cond1 = rodman_condition(n, alpha)
a = rodman(n, n, alpha)
b = rodman_inverse(n, alpha)
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# RUTIS1
#
title = 'RUTIS1'
n = 4
cond1 = rutis1_condition()
a = rutis1()
b = rutis1_inverse()
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# RUTIS2
#
title = 'RUTIS2'
n = 4
cond1 = rutis2_condition()
a = rutis2()
b = rutis2_inverse()
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# RUTIS3
#
title = 'RUTIS3'
n = 4
cond1 = rutis3_condition()
a = rutis3()
b = rutis3_inverse()
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# RUTIS5
#
title = 'RUTIS5'
n = 4
cond1 = rutis5_condition()
a = rutis5()
b = rutis5_inverse()
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# SUMMATION
#
title = 'SUMMATION'
n = 5
cond1 = summation_condition(n)
a = summation(n, n)
b = summation_inverse(n)
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# SWEET1
#
title = 'SWEET1'
n = 6
cond1 = sweet1_condition()
a = sweet1()
b = sweet1_inverse()
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# SWEET2
#
title = 'SWEET2'
n = 6
cond1 = sweet2_condition()
a = sweet2()
b = sweet2_inverse()
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# SWEET3
#
title = 'SWEET3'
n = 6
cond1 = sweet3_condition()
a = sweet3()
b = sweet3_inverse()
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# SWEET4
#
title = 'SWEET4'
n = 13
cond1 = sweet4_condition()
a = sweet4()
b = sweet4_inverse()
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# TRI_UPPER
#
title = 'TRI_UPPER'
n = 5
r8_lo = -5.0
r8_hi = +5.0
seed = 123456789
alpha, seed = r8_uniform_ab(r8_lo, r8_hi, seed)
cond1 = tri_upper_condition(alpha, n)
a = tri_upper(alpha, n)
b = tri_upper_inverse(alpha, n)
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# UPSHIFT
#
title = 'UPSHIFT'
n = 5
cond1 = upshift_condition(n)
a = upshift(n)
b = upshift_inverse(n)
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# WILK03
#
title = 'WILK03'
n = 3
cond1 = wilk03_condition()
a = wilk03()
b = wilk03_inverse()
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# WILK04
#
title = 'WILK04'
n = 4
cond1 = wilk04_condition()
a = wilk04()
b = wilk04_inverse()
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# WILK05
#
title = 'WILK05'
n = 5
cond1 = wilk05_condition()
a = wilk05()
b = wilk05_inverse()
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# WILSON
#
title = 'WILSON'
n = 4
cond1 = wilson_condition()
a = wilson()
b = wilson_inverse()
a_norm = r8mat_norm_l1(n, n, a)
b_norm = r8mat_norm_l1(n, n, b)
cond2 = a_norm * b_norm
print ' %-20s %4d %14.6g %14.6g' % (title, n, cond1, cond2)
#
# Terminate.
#
print ''
print 'TEST_CONDITION'
print ' Normal end of execution.'
return
def test_condition ( ): #*****************************************************************************80 # ## TEST_CONDITION tests the L1 condition number computations. # # Licensing: # # This code is distributed under the GNU LGPL license. # # Modified: # # 11 April 2015 # # Author: # # John Burkardt # from aegerter import aegerter from aegerter import aegerter_condition from aegerter import aegerter_inverse from bab import bab from bab import bab_condition from bab import bab_inverse from bauer import bauer from bauer import bauer_condition from bauer import bauer_inverse from bis import bis from bis import bis_condition from bis import bis_inverse from biw import biw from biw import biw_condition from biw import biw_inverse from bodewig import bodewig from bodewig import bodewig_condition from bodewig import bodewig_inverse from boothroyd import boothroyd from boothroyd import boothroyd_condition from boothroyd import boothroyd_inverse from combin import combin from combin import combin_condition from combin import combin_inverse from companion import companion from companion import companion_condition from companion import companion_inverse from conex1 import conex1 from conex1 import conex1_condition from conex1 import conex1_inverse from conex2 import conex2 from conex2 import conex2_condition from conex2 import conex2_inverse from conex3 import conex3 from conex3 import conex3_condition from conex3 import conex3_inverse from conex4 import conex4 from conex4 import conex4_condition from conex4 import conex4_inverse from daub2 import daub2 from daub2 import daub2_condition from daub2 import daub2_inverse from daub4 import daub4 from daub4 import daub4_condition from daub4 import daub4_inverse from daub6 import daub6 from daub6 import daub6_condition from daub6 import daub6_inverse from daub8 import daub8 from daub8 import daub8_condition from daub8 import daub8_inverse from daub10 import daub10 from daub10 import daub10_condition from daub10 import daub10_inverse from daub12 import daub12 from daub12 import daub12_condition from daub12 import daub12_inverse from diagonal import diagonal from diagonal import diagonal_condition from diagonal import diagonal_inverse from dif2 import dif2 from dif2 import dif2_condition from dif2 import dif2_inverse from downshift import downshift from downshift import downshift_condition from downshift import downshift_inverse from exchange import exchange from exchange import exchange_condition from exchange import exchange_inverse from fibonacci2 import fibonacci2 from fibonacci2 import fibonacci2_condition from fibonacci2 import fibonacci2_inverse from gfpp import gfpp from gfpp import gfpp_condition from gfpp import gfpp_inverse from givens import givens from givens import givens_condition from givens import givens_inverse from hankel_n import hankel_n from hankel_n import hankel_n_condition from hankel_n import hankel_n_inverse from harman import harman from harman import harman_condition from harman import harman_inverse from hartley import hartley from hartley import hartley_condition from hartley import hartley_inverse from identity import identity from identity import identity_condition from identity import identity_inverse from ill3 import ill3 from ill3 import ill3_condition from ill3 import ill3_inverse from jordan import jordan from jordan import jordan_condition from jordan import jordan_inverse from kershaw import kershaw from kershaw import kershaw_condition from kershaw import kershaw_inverse from lietzke import lietzke from lietzke import lietzke_condition from lietzke import lietzke_inverse from maxij import maxij from maxij import maxij_condition from maxij import maxij_inverse from minij import minij from minij import minij_condition from minij import minij_inverse from orth_symm import orth_symm from orth_symm import orth_symm_condition from orth_symm import orth_symm_inverse from oto import oto from oto import oto_condition from oto import oto_inverse from pascal1 import pascal1 from pascal1 import pascal1_condition from pascal1 import pascal1_inverse from pascal3 import pascal3 from pascal3 import pascal3_condition from pascal3 import pascal3_inverse from pei import pei from pei import pei_condition from pei import pei_inverse from r8_uniform_ab import r8_uniform_ab from r8mat_norm_l1 import r8mat_norm_l1 from r8vec_uniform_ab import r8vec_uniform_ab from rodman import rodman from rodman import rodman_condition from rodman import rodman_inverse from rutis1 import rutis1 from rutis1 import rutis1_condition from rutis1 import rutis1_inverse from rutis2 import rutis2 from rutis2 import rutis2_condition from rutis2 import rutis2_inverse from rutis3 import rutis3 from rutis3 import rutis3_condition from rutis3 import rutis3_inverse from rutis5 import rutis5 from rutis5 import rutis5_condition from rutis5 import rutis5_inverse from summation import summation from summation import summation_condition from summation import summation_inverse from sweet1 import sweet1 from sweet1 import sweet1_condition from sweet1 import sweet1_inverse from sweet2 import sweet2 from sweet2 import sweet2_condition from sweet2 import sweet2_inverse from sweet3 import sweet3 from sweet3 import sweet3_condition from sweet3 import sweet3_inverse from sweet4 import sweet4 from sweet4 import sweet4_condition from sweet4 import sweet4_inverse from tri_upper import tri_upper from tri_upper import tri_upper_condition from tri_upper import tri_upper_inverse from upshift import upshift from upshift import upshift_condition from upshift import upshift_inverse from wilk03 import wilk03 from wilk03 import wilk03_condition from wilk03 import wilk03_inverse from wilk04 import wilk04 from wilk04 import wilk04_condition from wilk04 import wilk04_inverse from wilk05 import wilk05 from wilk05 import wilk05_condition from wilk05 import wilk05_inverse from wilson import wilson from wilson import wilson_condition from wilson import wilson_inverse print '' print 'TEST_CONDITION' print ' Compute the L1 condition number of an example of each' print ' test matrix' print '' print ' Title N COND COND' print '' # # AEGERTER # title = 'AEGERTER' n = 5 cond1 = aegerter_condition ( n ) a = aegerter ( n ) b = aegerter_inverse ( n ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # BAB # title = 'BAB' n = 5 r8_lo = -5.0 r8_hi = +5.0 seed = 123456789 alpha, seed = r8_uniform_ab ( r8_lo, r8_hi, seed ) beta, seed = r8_uniform_ab ( r8_lo, r8_hi, seed ) cond1 = bab_condition ( n, alpha, beta ) a = bab ( n, alpha, beta ) b = bab_inverse ( n, alpha, beta ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # BAUER # title = 'BAUER' n = 6 cond1 = bauer_condition ( ) a = bauer ( ) b = bauer_inverse ( ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # BIS # title = 'BIS' n = 5 r8_lo = -5.0 r8_hi = +5.0 seed = 123456789 alpha, seed = r8_uniform_ab ( r8_lo, r8_hi, seed ) beta, seed = r8_uniform_ab ( r8_lo, r8_hi, seed ) cond1 = bis_condition ( alpha, beta, n ) a = bis ( alpha, beta, n, n ) b = bis_inverse ( alpha, beta, n ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # BIW # title = 'BIW' n = 5 cond1 = biw_condition ( n ) a = biw ( n ) b = biw_inverse ( n ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # BODEWIG # title = 'BODEWIG' n = 4 cond1 = bodewig_condition ( ) a = bodewig ( ) b = bodewig_inverse ( ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # BOOTHROYD # title = 'BOOTHROYD' n = 5 cond1 = boothroyd_condition ( n ) a = boothroyd ( n ) b = boothroyd_inverse ( n ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # COMBIN # title = 'COMBIN' n = 3 r8_lo = -5.0 r8_hi = +5.0 seed = 123456789 alpha, seed = r8_uniform_ab ( r8_lo, r8_hi, seed ) beta, seed = r8_uniform_ab ( r8_lo, r8_hi, seed ) cond1 = combin_condition ( alpha, beta, n ) a = combin ( alpha, beta, n ) b = combin_inverse ( alpha, beta, n ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # COMPANION # title = 'COMPANION' n = 5 r8_lo = -5.0 r8_hi = +5.0 seed = 123456789 x, seed = r8vec_uniform_ab ( n, r8_lo, r8_hi, seed ) cond1 = companion_condition ( n, x ) a = companion ( n, x ) b = companion_inverse ( n, x ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # CONEX1 # title = 'CONEX1' n = 4 r8_lo = -5.0 r8_hi = +5.0 seed = 123456789 alpha, seed = r8_uniform_ab ( r8_lo, r8_hi, seed ) cond1 = conex1_condition ( alpha ) a = conex1 ( alpha ) b = conex1_inverse ( alpha ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # CONEX2 # title = 'CONEX2' n = 3 r8_lo = -5.0 r8_hi = +5.0 seed = 123456789 alpha, seed = r8_uniform_ab ( r8_lo, r8_hi, seed ) cond1 = conex2_condition ( alpha ) a = conex2 ( alpha ) b = conex2_inverse ( alpha ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # CONEX3 # title = 'CONEX3' n = 5 cond1 = conex3_condition ( n ) a = conex3 ( n ) b = conex3_inverse ( n ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # CONEX4 # title = 'CONEX4' n = 4 cond1 = conex4_condition ( ) a = conex4 ( ) b = conex4_inverse ( ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # DAUB2 # title = 'DAUB2' n = 4 cond1 = daub2_condition ( n ) a = daub2 ( n ) b = daub2_inverse ( n ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # DAUB4 # title = 'DAUB4' n = 8 cond1 = daub4_condition ( n ) a = daub4 ( n ) b = daub4_inverse ( n ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # DAUB6 # title = 'DAUB6' n = 12 cond1 = daub6_condition ( n ) a = daub6 ( n ) b = daub6_inverse ( n ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # DAUB8 # title = 'DAUB8' n = 16 cond1 = daub8_condition ( n ) a = daub8 ( n ) b = daub8_inverse ( n ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # DAUB10 # title = 'DAUB10' n = 20 cond1 = daub10_condition ( n ) a = daub10 ( n ) b = daub10_inverse ( n ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # DAUB12 # title = 'DAUB12' n = 24 cond1 = daub12_condition ( n ) a = daub12 ( n ) b = daub12_inverse ( n ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # DIAGONAL # title = 'DIAGONAL' n = 5 r8_lo = -5.0 r8_hi = +5.0 seed = 123456789 x, seed = r8vec_uniform_ab ( n, r8_lo, r8_hi, seed ) cond1 = diagonal_condition ( n, x ) a = diagonal ( n, n, x ) b = diagonal_inverse ( n, x ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # DIF2 # title = 'DIF2' n = 5 cond1 = dif2_condition ( n ) a = dif2 ( n, n ) b = dif2_inverse ( n ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # DOWNSHIFT # title = 'DOWNSHIFT' n = 5 cond1 = downshift_condition ( n ) a = downshift ( n ) b = downshift_inverse ( n ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # EXCHANGE # title = 'EXCHANGE' n = 5 cond1 = exchange_condition ( n ) a = exchange ( n, n ) b = exchange_inverse ( n ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # FIBONACCI2 # title = 'FIBONACCI2' n = 5 cond1 = fibonacci2_condition ( n ) a = fibonacci2 ( n ) b = fibonacci2_inverse ( n ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # GFPP # title = 'GFPP' n = 5 r8_lo = -5.0 r8_hi = +5.0 seed = 123456789 alpha, seed = r8_uniform_ab ( r8_lo, r8_hi, seed ) cond1 = gfpp_condition ( n, alpha ) a = gfpp ( n, alpha ) b = gfpp_inverse ( n, alpha ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # GIVENS # title = 'GIVENS' n = 5 cond1 = givens_condition ( n ) a = givens ( n, n ) b = givens_inverse ( n ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # HANKEL_N # title = 'HANKEL_N' n = 5 cond1 = hankel_n_condition ( n ) a = hankel_n ( n ) b = hankel_n_inverse ( n ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # HARMAN # title = 'HARMAN' n = 8 cond1 = harman_condition ( ) a = harman ( ) b = harman_inverse ( ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # HARTLEY # title = 'HARTLEY' n = 5 cond1 = hartley_condition ( n ) a = hartley ( n ) b = hartley_inverse ( n ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # IDENTITY # title = 'IDENTITY' n = 5 cond1 = identity_condition ( n ) a = identity ( n, n ) b = identity_inverse ( n ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # ILL3 # title = 'ILL3' n = 3 cond1 = ill3_condition ( ) a = ill3 ( ) b = ill3_inverse ( ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # JORDAN # title = 'JORDAN' n = 5 r8_lo = -5.0 r8_hi = +5.0 seed = 123456789 alpha, seed = r8_uniform_ab ( r8_lo, r8_hi, seed ) cond1 = jordan_condition ( n, alpha ) a = jordan ( n, n, alpha ) b = jordan_inverse ( n, alpha ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # KERSHAW # title = 'KERSHAW' n = 4 cond1 = kershaw_condition ( ) a = kershaw ( ) b = kershaw_inverse ( ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # LIETZKE # title = 'LIETZKE' n = 5 cond1 = lietzke_condition ( n ) a = lietzke ( n ) b = lietzke_inverse ( n ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # MAXIJ # title = 'MAXIJ' n = 5 cond1 = maxij_condition ( n ) a = maxij ( n, n ) b = maxij_inverse ( n ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # MINIJ # title = 'MINIJ' n = 5 cond1 = minij_condition ( n ) a = minij ( n, n ) b = minij_inverse ( n ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # ORTH_SYMM # title = 'ORTH_SYMM' n = 5 cond1 = orth_symm_condition ( n ) a = orth_symm ( n ) b = orth_symm_inverse ( n ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # OTO # title = 'OTO' n = 5 cond1 = oto_condition ( n ) a = oto ( n, n ) b = oto_inverse ( n ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # PASCAL1 # title = 'PASCAL1' n = 5 cond1 = pascal1_condition ( n ) a = pascal1 ( n ) b = pascal1_inverse ( n ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # PASCAL3 # title = 'PASCAL3' n = 5 r8_lo = -5.0 r8_hi = +5.0 seed = 123456789 alpha, seed = r8_uniform_ab ( r8_lo, r8_hi, seed ) cond1 = pascal3_condition ( n, alpha ) a = pascal3 ( n, alpha ) b = pascal3_inverse ( n, alpha ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # PEI # title = 'PEI' n = 5 r8_lo = -5.0 r8_hi = +5.0 seed = 123456789 alpha, seed = r8_uniform_ab ( r8_lo, r8_hi, seed ) cond1 = pei_condition ( alpha, n ) a = pei ( alpha, n ) b = pei_inverse ( alpha, n ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # RODMAN # title = 'RODMAN' n = 5 r8_lo = -5.0 r8_hi = +5.0 seed = 123456789 alpha, seed = r8_uniform_ab ( r8_lo, r8_hi, seed ) cond1 = rodman_condition ( n, alpha ) a = rodman ( n, n, alpha ) b = rodman_inverse ( n, alpha ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # RUTIS1 # title = 'RUTIS1' n = 4 cond1 = rutis1_condition ( ) a = rutis1 ( ) b = rutis1_inverse ( ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # RUTIS2 # title = 'RUTIS2' n = 4 cond1 = rutis2_condition ( ) a = rutis2 ( ) b = rutis2_inverse ( ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # RUTIS3 # title = 'RUTIS3' n = 4 cond1 = rutis3_condition ( ) a = rutis3 ( ) b = rutis3_inverse ( ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # RUTIS5 # title = 'RUTIS5' n = 4 cond1 = rutis5_condition ( ) a = rutis5 ( ) b = rutis5_inverse ( ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # SUMMATION # title = 'SUMMATION' n = 5 cond1 = summation_condition ( n ) a = summation ( n, n ) b = summation_inverse ( n ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # SWEET1 # title = 'SWEET1' n = 6 cond1 = sweet1_condition ( ) a = sweet1 ( ) b = sweet1_inverse ( ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # SWEET2 # title = 'SWEET2' n = 6 cond1 = sweet2_condition ( ) a = sweet2 ( ) b = sweet2_inverse ( ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # SWEET3 # title = 'SWEET3' n = 6 cond1 = sweet3_condition ( ) a = sweet3 ( ) b = sweet3_inverse ( ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # SWEET4 # title = 'SWEET4' n = 13 cond1 = sweet4_condition ( ) a = sweet4 ( ) b = sweet4_inverse ( ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # TRI_UPPER # title = 'TRI_UPPER' n = 5 r8_lo = -5.0 r8_hi = +5.0 seed = 123456789 alpha, seed = r8_uniform_ab ( r8_lo, r8_hi, seed ) cond1 = tri_upper_condition ( alpha, n ) a = tri_upper ( alpha, n ) b = tri_upper_inverse ( alpha, n ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # UPSHIFT # title = 'UPSHIFT' n = 5 cond1 = upshift_condition ( n ) a = upshift ( n ) b = upshift_inverse ( n ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # WILK03 # title = 'WILK03' n = 3 cond1 = wilk03_condition ( ) a = wilk03 ( ) b = wilk03_inverse ( ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # WILK04 # title = 'WILK04' n = 4 cond1 = wilk04_condition ( ) a = wilk04 ( ) b = wilk04_inverse ( ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # WILK05 # title = 'WILK05' n = 5 cond1 = wilk05_condition ( ) a = wilk05 ( ) b = wilk05_inverse ( ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # WILSON # title = 'WILSON' n = 4 cond1 = wilson_condition ( ) a = wilson ( ) b = wilson_inverse ( ) a_norm = r8mat_norm_l1 ( n, n, a ) b_norm = r8mat_norm_l1 ( n, n, b ) cond2 = a_norm * b_norm print ' %-20s %4d %14.6g %14.6g' % ( title, n, cond1, cond2 ) # # Terminate. # print '' print 'TEST_CONDITION' print ' Normal end of execution.' return
def process_day(reader_fills,reader_orders,fill_row,order_row,fills_continue,orders_continue):
time_format = '%m/%d/%y %I:%M:%S %p'
fill_time = fill_row['timestamp']
order_time = order_row['timestamp']
# Initialize today so that can check each day against it
# Stop processing when the day is over
today = fill_time.date()
# Initialize exchange object
exch = exchange.exchange()
# Fills that occur before first order of day are not valid
# Skip and print error
while fill_time < order_time and fill_time.date() == today:
print "fill %s arrived before first order of day" % fill_row['timestamp']
fill_row = reader_fills.next()
fill_time = dt.datetime.strptime(fill_row['timestamp'],time_format)
# While today and not end of csv first try to process to exchange
# Then read next line in fill/order file that is chronologically behind the other
# run a basic data check and loop
# read until one file ends or begin new day
while fills_continue and orders_continue and fill_time.date() == today and order_time.date() == today:
if order_time <= fill_time:
try:
exch.process_order(order_row)
except:
pass
try:
order_row = reader_orders.next()
try:
order_row = od.order_basic_check(order_row)
if order_time < order_row['timestamp']:
order_time = order_row['timestamp']
except:
pass
except:
print "end of orders"
order_time = None
orders_continue = False
elif order_time > fill_time:
try:
exch.process_fill(fill_row)
except:
pass
try:
fill_row = reader_fills.next()
try:
fill_row = od.fill_basic_check(fill_row)
if fill_time < fill_row['timestamp']:
fill_time = fill_row['timestamp']
except:
pass
except:
print "end of fills"
fill_time = None
fills_continue = False
# If order file terminated first loop, finish fill file
while fills_continue and fill_time.date() == today:
try:
exch.process_fill(fill_row)
except:
pass
try:
fill_row = reader_fills.next()
try:
fill_row = od.fill_basic_check(fill_row)
if fill_time < fill_row['timestamp']:
fill_time = fill_row['timestamp']
except:
pass
except:
print "end of fills"
fill_time = None
fills_continue = False
# If fill file terminated first loop, finish order file
while orders_continue and order_time.date() == today:
try:
exch.process_order(order_row)
except:
pass
try:
order_row = reader_orders.next()
try:
order_row = od.order_basic_check(order_row)
if order_time < order_row['timestamp']:
order_time = order_row['timestamp']
except:
pass
except:
print "end of orders"
order_time = None
orders_continue = False
# Print ordres still open at the end of day
exch.check_all_close_eod()
# Return csv handler along with continuation conditions and next row as a tuple
# Need to return the row because the the csvreader.next() returns row and increments
return (reader_fills,reader_orders,fill_row,order_row,fills_continue,orders_continue)
def process_day(reader_fills,reader_orders,fill_row,order_row,fills_continue,orders_continue):
time_format = '%m/%d/%y %I:%M:%S %p'
fill_time = fill_row['timestamp']
order_time = order_row['timestamp']
today = fill_time.date()
exch = exchange.exchange()
# Fills that occur before first order of day are not valid
while fill_time < order_time:
print "fill %s arrived before first order of day" % fill_row['timestamp']
fill_row = reader_fills.next()
fill_time = dt.datetime.strptime(fill_row['timestamp'],time_format)
while fills_continue and orders_continue and fill_time.date() == today and order_time.date() == today:
# read next row based on which row is behind the other
if order_time <= fill_time:
try:
exch.process_order(order_row)
except Exception as msg:
print msg
try:
order_row = reader_orders.next()
# print order_row['id']
try:
order_row = od.order_basic_check(order_row)
order_time = order_row['timestamp']
except Exception as msg:
print msg
# print order_row['id']
except:
print "end of orders"
order_time = None
orders_continue = False
elif order_time > fill_time:
exch.process_fill(fill_row)
try:
fill_row = reader_fills.next()
try:
fill_row = od.fill_basic_check(fill_row)
fill_time = fill_row['timestamp']
except Exception as msg:
print msg
# print fill_row['id']
except:
print "end of fills"
fill_time = None
fills_continue = False
# Now finish the longer list
while fills_continue and fill_time.date() == today:
exch.process_fill(fill_row)
try:
fill_row = reader_fills.next()
try:
fill_row = od.fill_basic_check(fill_row)
fill_time = fill_row['timestamp']
except Exception as msg:
print msg
# print fill_row['id']
except:
print "end of fills"
fill_time = None
fills_continue = False
while orders_continue and order_time.date() == today:
exch.process_order(order_row)
try:
order_row = reader_orders.next()
try:
order_row = od.order_basic_check(order_row)
order_time = order_row['timestamp']
except Exception as msg:
print msg
# print order_row['id']
except:
print "end of orders"
order_time = None
orders_continue = False
# Check to see that the order log is esmpty at the end of a day
exch.check_all_close_eod()
return (reader_fills,reader_orders,fill_row,order_row,fills_continue,orders_continue)
