def gen_smpl(self, idx, n_digits, n_nums, var_digits=0):
""" generate an example of a simple addition
"""
assert (n_digits >= 1)
assert (var_digits < n_digits)
q_tab = Tabular(' c r ', row_height=1.2)
# contents...
nums = [gen_rnd(n_digits, var_digits) for n in range(0, n_nums)]
sgns = [sign(randint(-1000000, 1000000)) for n in range(0, n_nums)]
sign_syms = list(map(lambda x: '+' if x == 1 else '-', sgns))
sum_str = ''.join(
[sign_syms[n] + str(nums[n]) for n in range(0, n_nums)])
if sum_str[0] == '+':
sum_str = sum_str[1:] # tail if leading with a '+'
mth = Math(escape=False, inline=True)
mth.append(NoEscape(sum_str + '='))
q_tab.add_row((bold(str(idx) + ':'), mth))
a_tab = Tabular(' l l ', row_height=1.1)
a_idx = bold(str(idx) + ":")
res = sum(multiply(nums, sgns))
a_tab.add_row((a_idx, res))
#print(sum_str, '=', res)
return (q_tab, a_tab)
def gen_smpl(self, idx, n_digits, n_nums, var_digits=0):
""" generate an example of a simple addition
"""
assert (n_digits >= 1)
assert (var_digits < n_digits)
q_tab = Tabular(' c r ', row_height=1.2)
nums = [gen_rnd(n_digits, var_digits) for n in range(0, n_nums)]
sum_str = functools.reduce(lambda x, y: str(x) + '-' + str(y), nums)
mth = Math(escape=False, inline=True)
mth.append(NoEscape(sum_str + '='))
q_tab.add_row((bold(str(idx) + ':'), mth))
a_tab = Tabular(' l l ', row_height=1.1)
a_idx = bold(str(idx) + ":")
a_tab.add_row((a_idx, nums[0] - sum(nums[1:])))
return (q_tab, a_tab)
def display(ap, doc):
properties, effects = analyze(ap)
with doc.create(Subsection(ap['name'])):
doc.append('Definition:')
with doc.create(Itemize(options='noitemsep')) as itemize:
if 'url' in ap:
itemize.add_item('url: {}'.format(ap['url']))
itemize.add_item('floor: {}'.format(ap['floor']))
itemize.add_item('starting price: {:.2f} Mkr'.format(
ap['startPrice'] / 1e6))
if 'booliEstimate' in ap:
itemize.add_item('Booli estimated price: {:.2f} Mkr'.format(
ap['booliEstimate'] / 1e6))
itemize.add_item('fee: {:.0f} kr/month'.format(ap['fee']))
ma = Math(inline=True, escape=False)
ma.append('\\text{{area: }} {:.0f}\\,\\mathrm{{m}}^2'.format(
ap['area']))
itemize.add_item(ma)
itemize.add_item(
'commute time: {:.0f} min of which {:.0f} min is walking. Frequency every {:.0f} min.'
.format(ap['commuteTime'], ap['commuteWalkTime'],
ap['commutePeriod']))
doc.append('Results:')
with doc.create(Itemize(options='noitemsep')) as itemize:
itemize.add_item('interest: {:.1%}'.format(properties['interest']))
itemize.add_item('amortization: {:.1%}'.format(
properties['amortization']))
itemize.add_item(
'monthly cost: {a:.0f} kr/month (incl. amortization)'.format(
a=properties['monthlyCost']))
# print('m2 price: {p:.0f}% of local market value'.format(p=100*ap['price']/(ap['area']*m2Price[ap['location']])))
# print('Effective commute time: ',effectiveCommuteTime,' min')
# print('Monthly apartment bill:',monthlyPrice)
doc.append('Value breakdown:\n')
with doc.create(Center()) as centered:
with centered.create(Tabular('l|r')) as table:
tot = 0
for e in effects:
table.add_row((e, '{p}{v:.0f} kr/month'.format(
k=e, v=effects[e], p='+' if effects[e] > 0 else '')))
tot += effects[e]
table.add_hline()
table.add_row(('TOTAL', '{t:.0f} kr/month'.format(t=tot)))
def main():
geometry_options = {"tmargin": "2cm", "lmargin": "2cm"}
doc = Document(geometry_options=geometry_options)
doc.packages.append(Package('enumitem'))
doc.packages.append(Package('hyperref'))
with doc.create(Section('Personal preferences')):
doc.append('Positive features:\n')
with doc.create(Center()) as centered:
with centered.create(Tabular('l|r')) as table:
table.add_hline()
for p in proValues:
table.add_row(
(p, '+{v:.0f} kr/month'.format(v=proValues[p])))
table.add_hline()
doc.append('Negative features:\n')
with doc.create(Center()) as centered:
with centered.create(Tabular('l|r')) as table:
table.add_hline()
for p in conValues:
table.add_row(
(p, '{v:.0f} kr/month'.format(v=-conValues[p])))
table.add_hline()
doc.append('Intermediate results:\n')
with doc.create(Itemize(options='noitemsep')) as itemize:
itemize.add_item('Time value: {v:.1f} kr/min'.format(v=timeValue))
doc.append(
'Estimated size for different regions (only considering interest and average prices):\n'
)
with doc.create(Center()) as centered:
with centered.create(Tabular('l|r')) as table:
table.add_hline()
for k in m2Price:
for i in range(len(m2s) - 1):
if m2ValPerm2[i] < m2Price[k] * interest / MONTHS_PER_YEAR:
ma = Math(inline=True, escape=False)
ma.append('{a}-{b}\\,\\mathrm{{m}}^2'.format(a=m2s[i],
b=m2s[i +
1]))
table.add_row((k, ma))
table.add_hline()
break
with doc.create(Section('Apartments')):
for a in aps:
display(a, doc)
with doc.create(Section('Summary')):
doc.append('Effective values (kr/month):')
saps = [a for a in aps if 'soldFor' in a]
asaps = [analyze(a, price=a['soldFor']) for a in saps]
aaps = [analyze(a) for a in aps]
scats = set()
stots = []
for a in asaps:
tot = 0
for e in a[1]:
scats.add(e)
tot += a[1][e]
stots.append(tot)
with doc.create(Center()) as centered:
with centered.create(Tabular('l' + '|r' * (len(saps)))) as table:
table.add_row(['SCORE'] + [a['name'][:6] + '..' for a in saps])
table.add_hline()
for c in scats:
table.add_row([c] + [
'{:.0f}'.format(a[1][c]) if c in a[1] else ''
for a in asaps
])
table.add_hline()
table.add_row(['TOTAL'] + ['{:.0f}'.format(t) for t in stots])
table.add_empty_row()
table.add_row(['PRICES'] + ['' for a in saps])
table.add_row(
['Ad price'] +
['{:.0f}'.format(ap['startPrice']) for ap in saps])
table.add_row(['Sold price'] +
['{:.0f}'.format(ap['soldFor']) for ap in saps])
table.add_row(['Booli'] + [
'{:.0f}'.format(ap['booliEstimate']) if 'booliEstimate' in
ap else '-' for ap in saps
])
table.add_row(['My top bid'] + [
'{:.0f}'.format(
solveForPrice(ap, goalValue) // bidStep * bidStep)
for ap in saps
])
paps = [a for a in aps if 'soldFor' not in a]
aaps = [analyze(a) for a in paps]
cats = set()
tots = []
for a in aaps:
tot = 0
for e in a[1]:
cats.add(e)
tot += a[1][e]
tots.append(tot)
with doc.create(Center()) as centered:
with centered.create(Tabular('l' + '|r' * (len(paps)))) as table:
table.add_row(['SCORE (est.)'] +
[a['name'][:6] + '..' for a in paps])
table.add_hline()
for c in cats:
table.add_row([c] + [
'{:.0f}'.format(a[1][c]) if c in a[1] else ''
for a in aaps
])
table.add_hline()
table.add_row(['TOTAL'] + ['{:.0f}'.format(t) for t in tots])
table.add_row(['accept est.'] + [
'{:.0f}'.
format(sum(analyze(a, price=a['acceptPrice'])[1].values())
) if 'acceptPrice' in a else '-' for a in paps
])
table.add_empty_row()
table.add_row(['PRICES'] + ['' for a in paps])
table.add_row(
['Ad price'] +
['{:.0f}'.format(ap['startPrice']) for ap in paps])
table.add_row(['Booli'] + [
'{:.0f}'.format(ap['booliEstimate']) if 'booliEstimate' in
ap else '-' for ap in paps
])
table.add_row(['Accept'] + [
'{:.0f}'.format(ap['acceptPrice']) if 'acceptPrice' in
ap else '-' for ap in paps
])
table.add_row(['Top bid'] + [
'{:.0f}'.format(ap['bids'][-1]) if 'bids' in ap else '-'
for ap in paps
])
table.add_row(['My top bid'] + [
'{:.0f}'.format(
solveForPrice(ap, goalValue) // bidStep * bidStep)
for ap in paps
])
table.add_row(['Action'] + [(('BID' if sum(
analyze(ap, price=ap['bids'][-1])[1].values()
) > goalValue else 'STOP') if 'bids' in ap else '')
for ap in paps])
# for a in aps:
# properties,effects=analyze(a)
# table.add_row((a['name'],'{:.0f} kr/month'.format(sum(effects.values()))))
doc.generate_pdf('apartment', clean_tex=False)