def Divider(d, ratio):
d["divider"] = set()
# First check using equal resistors
for R in d["R"]:
Div(d, float(ratio), R, R)
for R1, R2 in combinations(d["R"], 2):
Div(d, float(ratio), R1, R2)
# Print report
div = list(d["divider"])
if not div:
out("No divider can be made")
return
div.sort()
out("Voltage divider with ratio = ", ratio, ", tolerance = ",
sig(d["-t"]*100, 2), "%", sep="")
out()
out("% dev from")
out("desired ratio R1 R2 Total Res.")
out("------------- ---------- ---------- ----------")
for rat, r1, r2 in div:
dev = 100*((rat - float(ratio))/float(ratio))
pct = sig(dev)
if dev >= 0:
pct = " " + pct
R1, R2, R = fp.engsi(r1), fp.engsi(r2), fp.engsi(r1 + r2)
if not dev:
fg(highlight)
out(" {0:10} {1:^10} {2:^10} {3:^10}".format(pct, R1, R2, R))
normal()
def Quotient(d, ratio):
# Ignore a requested ratio of 1, as any pair of resistors will work
if ratio == 1:
out("Quotient cannot be 1")
exit(1)
d["resistances"], t, Ratio = set(), d["-t"], float(ratio)
for R1, R2 in combinations(d["R"], 2):
q1 = R1/R2
q2 = 1/q1
if (1 - t)*Ratio <= q1 <= (1 + t)*Ratio:
d["resistances"].add((q1, R1, R2))
elif (1 - t)*Ratio <= q2 <= (1 + t)*Ratio:
d["resistances"].add((q2, R2, R1))
# Print report
res = list(d["resistances"])
if not res:
out("No resistor combinations that meet tolerance")
return
res.sort()
out("Desired ratio = ", ratio, ", tolerance = ",
sig(d["-t"]*100, 2), "%", sep="")
out()
out("% dev from")
out("desired ratio R1 R2")
out("------------- ---------- ----------")
for val, r1, r2 in res:
dev = 100*((val - Ratio)/Ratio)
pct = sig(dev, 2)
if dev >= 0:
pct = " " + pct
R1, R2 = fp.engsi(r1), fp.engsi(r2)
if not dev:
fg(highlight)
out(" {0:10} {1:^10} {2:^10}".format(pct, R1, R2))
normal()
def Report():
S = {
"Files" : [],
"ProcessDistribution" : normal,
"ProcessMu" : 10,
"ProcessSigma" : 1,
"MeasurementDistribution" : normal,
"MeasurementMu" : 0,
"MeasurementSigma" : 1,
"NumberOfLots" : 2,
"PartsPerLot" : 10,
"Specification" : (9.5, 10.5),
}
seed(8353475) # Make the random number stream repeatable
results = Manufacture(S)
p = sig((S["ProcessMu"], S["ProcessSigma"]))
m = sig((S["MeasurementMu"], S["MeasurementSigma"]))
s = sig(S["Specification"])
nl = str(S["NumberOfLots"])
ppl = str(S["PartsPerLot"])
out('''
Small manufacturing example:
Process (mu, sigma) = {p}
Measureement (mu, sigma) = {m}
Spec = {s}
Number of lots = {nl}
Parts per lot = {ppl}
'''[1:].format(**locals()))
out("Good parts made =\n", sig(results["parts"][0]))
out("Bad parts made =\n", sig(results["parts"][1]))
out("Good parts tested good =\n", sig(results["parts"][2]))
out("Good parts tested bad =\n", sig(results["parts"][3]))
out("Bad parts tested good =\n", sig(results["parts"][4]))
out("Bad parts tested bad =\n", sig(results["parts"][5]))
def Pairs(args, d):
if len(args) != 4:
Usage(d)
parallel = True if args[3] == "p" else False
target_value = float(args[2])
if target_value <= 0:
Error("Target value must be > 0")
# Read file data
lines = [i.strip() for i in open(args[1]).readlines()]
# Check that we have only one blank line and an equal number of
# resistance values on either side of it.
r1, r2, first = [], [], True
for line in lines:
if not line:
first = False
continue
if first:
r1.append(float(line))
else:
r2.append(float(line))
if not r1 or not r2:
Error("Missing blank line in resistor file '%s'" % args[1])
if len(r1) != len(r2):
Error("Two resistor sets don't have equal number in resistor file '%s'"
% args[1])
# Calculate the set of resultant resistances
results = []
for i in r1:
for j in r2:
if parallel:
r = 1/(1/i + 1/j)
else:
r = i + j
pct_dev = 100*(r - target_value)/target_value
pct_dev = 0 if abs(pct_dev) < 1e-10 else pct_dev
results.append([pct_dev, r, i, j])
results.sort()
model, file = "parallel" if parallel else "series", args[1]
out('''
Model = {model}
File = {file}
% dev from
mean value Resistance R1 R2
---------- ---------- ------------- -------------
'''[1:-1].format(**locals()))
sig.digits = d["-d"]
for i in results:
r, r1, r2 = i[1:]
out("%9s%% " % sig(i[0], 2), nl=False)
out("%-10s " % sig(r), nl=False)
out("%-10s " % sig(r1), nl=False)
out("%-10s" % sig(r2))
def Resistance(d, resistance):
d["resistances"] = set()
# First see if we have an exact match
if resistance in d["R"]:
d["resistances"].add((resistance, "e", resistance, 0))
else:
# First check using equal resistors
for R in d["R"]:
Res(d, resistance, R, R)
for R1, R2 in combinations(d["R"], 2):
Res(d, resistance, R1, R2)
res = list(d["resistances"])
if not res:
out("No resistor combinations that meet tolerance")
return
# Check if we have too many entries; if so, whittle down the list to
# the closest N.
clipped = False
if len(res) > d["-n"]:
# Sort by absolute value of tolerance
tol = lambda tgt, val: abs(val - tgt)/val
r = [(tol(resistance, i[0]), i) for i in res] # Decorate with abs val
r.sort()
res = [i[1] for i in r[:d["-n"]]]
clipped = True
# Print report
res.sort()
out("Desired resistance = ", d["desired"], " = ", sig(d["res"]) +
", tolerance = ", sig(d["-t"]*100, 2), "%", sep="")
if clipped:
out("Closest %d matches shown" % d["-n"])
out()
out("% dev from")
out("desired res. R1 R2 Connection")
out("------------- ---------- ---------- ----------")
for val, c, r1, r2 in res:
dev = 100*((val - resistance)/resistance)
pct = sig(dev, 2)
if dev >= 0:
pct = " " + pct
R1, R2 = fp.engsi(r1), fp.engsi(r2)
conn = {"s":"series", "p":"parallel", "e":"exact"}[c]
if (d["-p"] and c == "s") or (d["-s"] and c == "p"):
continue
if not dev:
fg(highlight)
if c == "e":
out(" {0:10} {1:^10} {2}".format(pct, R1, conn))
else:
out(" {0:10} {1:^10} {2:^10} {3}".format(pct, R1, R2, conn))
normal()
def FloatingPoint(n, m, inc, d):
fmt = "%%.%dg" % d["-d"]
for i in frange(n, m, inc, include_end=d["-e"]):
if i <= float(m):
if d["-s"]:
out(sig(i), "", nl=d["-n"])
else:
out(fmt % i, "", nl=d["-n"])
if not d["-n"]:
out()
def yt_download(video_id):
"""Request download link from youtube-mp3.com."""
timestamp = str(int(time.time()))
tail = random.sample(range(100, 999), 2)
# Generate timestamp that complies with site's version
ts = [timestamp + str(min(tail)), timestamp + str(max(tail))]
push = 'http://www.youtube-mp3.org/a/pushItem/?item=https%3A//www.youtube.com/watch%\3Fv%3D{}&el=ma&bf=false&r={}&s={}'.format(
video_id, ts[0], sig(ts[0]))
info = 'http://www.youtube-mp3.org/a/itemInfo/?video_id={}&ac=www&t=grp&r={}&s={}'.format(
video_id, ts[1], sig(ts[1]))
requests.get(push) # Make sure video is converted
r = requests.get(info)
txt = r.text.split('info = ')[1][:-1] # JSON-friendly part of response
js = json.loads(txt)
dl_link = (
'http://www.youtube-mp3.org/get?video_id={}&ts_create={}&r=MTg4LjIzMS4xMzEuNzQ%3D&h2={}&s={}'
.format(video_id, js["ts_create"], js["h2"], sig(js["h2"])))
return dl_link
def DividerRatios(d, res):
r = [Interpret(i) for i in res]
R = sum(r)
out("String of voltage dividers:")
out(" Resistors given:")
for i in res:
out(" ", i)
out(" Total resistance =", fp.engsi(R))
out(" Divider ratios:")
for i in range(1, len(r)):
D = sum(r[i:])/R
out(" %2d " % i, sig(D, 4))
def List(d):
out("On-hand resistors:\n")
out(on_hand[1:-1])
out("-"*70)
out("EIA resistance series:")
for n in (6, 12, 24, 48, 96):
out("E%d:" % n)
digits = 2 if n < 48 else 3
s = []
for num in EIA[n]:
s.append(sig(num, digits))
for i in Columnize(s):
out(" ", i)
def Series(d, res):
'''Find a set of resistors that sum to the desired value but remain
less than or equal to it.
'''
resistors = d["R"]
resistors.sort()
resistors = list(reversed(resistors))
used = []
while resistors and sum(used) <= res:
if resistors[0] + sum(used) <= res:
used.append(resistors[0])
else:
del resistors[0]
out("Sum =", fp.engsi(sum(used)))
out(" Resistor % of total")
r = 0
for i in used:
r += i
out(" %-10s" % fp.engsi(i), " ", sig(100*r/res, 6))
def Report(d):
angle = sig(d["angle"])
arc = sig(d["arc"])
chord = sig(d["chord"])
diameter = sig(d["diameter"])
height = sig(d["height"])
radius = sig(d["radius"])
print('''Results:
Angle {angle} deg
Arc {arc}
Chord {chord}
Diameter {diameter}
Height {height}
Radius {radius}'''.format(**locals()))
def Calculate(__vars, __d):
# Get vars into our local namespace
if __vars is not None:
for __k in __vars:
if len(__k) > 2 and __k[:2] == "__":
continue
exec("%s = __vars['%s']" % (__k, __k))
try:
if radius and angle:
if dbg:
print("radius, angle", sig(radius), sig(angle))
z = radius*COSD(0.5*angle)
height = radius - z
chord = 2.*radius*SIND(0.5*angle)
arc = radius*angle*RPD
elif radius and chord:
if dbg:
print("radius, chord", sig(radius), sig(chord))
angle = 2.*ASND(0.5*chord/radius)
z = radius*COSD(0.5*angle)
height = radius - z
arc = radius*angle*RPD
elif radius and height:
if dbg:
print("radius, height", sig(radius), sig(height))
z = radius - height
angle = 2.*ACSD(z/radius)
chord = 2.*radius*SIND(0.5*angle)
arc = radius*angle*RPD
elif radius and arc:
if dbg:
print("radius, arc", sig(radius), sig(arc))
angle = DPR*arc/radius
z = radius*COSD(0.5*angle)
height = radius - z
chord = 2.*radius*SIND(0.5*angle)
elif angle and chord:
if dbg:
print("angle, chord", sig(angle), sig(chord))
radius = 0.5*chord/SIND(0.5*angle)
z = radius*COSD(0.5*angle)
height = radius - z
arc = radius*angle*RPD
elif angle and height:
if dbg:
print("angle, height", sig(angle), sig(height))
radius = height/(1. - COSD(0.5*angle))
z = radius - height
chord = 2.*radius*SIND(0.5*angle)
arc = radius*angle*RPD
elif angle and arc:
if dbg:
print("angle, arc", sig(angle), sig(arc))
radius = DPR*arc/angle
z = radius*COSD(0.5*angle)
height = radius - z
chord = 2.*radius*SIND(0.5*angle)
elif chord and height:
if dbg:
print("chord, height", sig(chord), sig(height))
radius = (4.*height*height + chord*chord)/(8.*height)
z = radius - height
angle = 2.*ACSD(z/radius)
arc = radius*angle*RPD
elif chord and arc:
if dbg:
print("chord, arc", sig(chord), sig(arc))
h, t1, t2, dt, hbest, k = 0, 1, 180, 1, 1e6, 0
while ABS(h - chord) > 1e-6 and k < 6:
angle = t1
while angle <= t2:
radius = DPR*arc/angle
h = 2.*radius*SIND(0.5*angle)
if ABS(h - chord) < hbest:
hbest = ABS(h - chord)
tbest = angle
angle += dt
t1 = tbest - dt
t2 = tbest + dt
dt *= 0.1
k += 1
# Note that angle will not have an uncertainty associated
# with it because it was derived through iteration in the
# loop.
angle = tbest
radius = DPR*arc/angle
height = radius*(1 - COSD(0.5*angle))
elif height and arc:
if dbg:
print("height, arc", sig(height), sig(arc))
h, t1, t2, dt, hbest, k = 0, 1, 180, 1, 1e6, 0
while ABS(h - height) > 1e-6 and k < 6:
angle = t1
while angle <= t2:
radius = DPR*arc/angle
h = radius*(1 - COSD(0.5*angle))
if ABS(h - height) < hbest:
hbest = ABS(h - height)
tbest = angle
angle += dt
t1 = tbest - dt
t2 = tbest + dt
dt *= 0.1
k += 1
# Note that angle will not have an uncertainty associated
# with it because it was derived through iteration in the
# loop.
angle = tbest
radius = DPR*arc/angle
chord = 2.*radius*SIND(0.5*angle)
except Exception as e:
if dbg:
print("Exception in Calculate(): ", str(e))
return False
# Put answers into dictionary
__d["diameter"] = 2*radius
__d["radius"] = radius
__d["angle"] = angle
__d["chord"] = chord
__d["height"] = height
__d["arc"] = arc
return True
X = Z * sin(theta)
print(" Rs = ", E(Rs), "ohm = ESR", sep="")
print(" Rp = ", E(Rp), "ohm", sep="")
print(" X = ", E(X), "ohm", sep="")
if isinf(Cs):
print(" Cs = inf")
else:
print(" Cs = ", E(Cs), "F", sep="")
print(" Cp = ", E(Cp), "F", sep="")
print(" Ls = ", E(Ls), "H", sep="")
if isinf(Lp):
print(" Lp = inf")
else:
print(" Lp = ", E(Lp), "H", sep="")
if isinstance(Q, float):
print(" Q =", sig(Q))
print(" D =", sig(D))
else:
print(" Q =", Q)
print(" D =", D)
else:
# Use f-strings
o = "Ω"
Rs = f"{E(Rs)}{o}"
Rp = f"{E(Rp)}{o}"
X = E(Z * sin(theta)) + o
if isinf(Cs):
Cs = f"∞ F"
else:
Cs = f"{E(Cs)}F"
Cp = f"{E(Cp)}F"
def Report(d):
S, w = d["solution"], 15
angle_measure = 1/d["angle_measure"]
if angle_measure == 1:
dm = "rad"
else:
dm = "deg"
ds = " "*5
S1, S2, S3, A1, A2, A3 = [S[i] for i in "S1 S2 S3 A1 A2 A3".split()]
s1, s2, s3 = [sig(i) for i in (S1, S2, S3)]
a1, a2, a3 = [sig(i*angle_measure) for i in (A1, A2, A3)]
GetOtherFacts(S1, S2, S3, A1, A2, A3, d)
area = sig(d["area"])
r = sig(d["r_inscribed"])
R = sig(d["R_circumscribed"])
di = sig(d["r_inscribed"]*2)
D = sig(d["R_circumscribed"]*2)
p = sig(d["perimeter"])
title = "Triangle solution"
fmt = '''{title}:
Sides {ds} {s1:{w}} {s2:{w}} {s3:{w}}
Angles ({dm}) {a1:{w}} {a2:{w}} {a3:{w}}
Area {area}
Perimeter {p}
Inscribed circle radius = {r}, diameter = {di} [Note 1]
Circumscribed circle radius = {R}, diameter = {D} [Note 2]'''
out(fmt.format(**locals()))
# Check for 2nd solution
if "S1_2" in S:
S1, S2, S3, A1, A2, A3 = [S[i] for i in
"S1_2 S2_2 S3_2 A1_2 A2_2 A3_2".split()]
GetOtherFacts(S1, S2, S3, A1, A2, A3, d)
s1, s2, s3 = [sig(i) for i in (S1, S2, S3)]
a1, a2, a3 = [sig(i*angle_measure) for i in (A1, A2, A3)]
title = "Second solution"
area = sig(d["area"])
r = sig(d["r_inscribed"])
R = sig(d["R_circumscribed"])
di = sig(d["r_inscribed"]*2)
D = sig(d["R_circumscribed"]*2)
p = sig(d["perimeter"])
out(fmt.format(**locals()))
out('''
[1] Center located by angle bisectors.
[2] Center located by perpendicular bisectors of the sides.''')
if __name__ == "__main__":
d = {} # Options dictionary
args = ParseCommandLine(d)
price = None
CorrectArgs(args)
if len(args) == 2:
year1, year2 = [int(i) for i in args]
elif len(args) == 3:
price = float(args[0])
p = args[0] # User's string for price
year1, year2 = [int(i) for i in args[1:]]
else:
raise Exception("Logic bug")
c = d["cpi"]
if year1 not in c:
print("Year", year1, "not in data")
exit(1)
if year2 not in c:
print("Year", year2, "not in data")
exit(1)
ratio = c[year2] / c[year1]
if price is not None:
print("${} in {} = ${} in {}".format(p, year1, sig(price * ratio),
year2))
print("${} in {} = ${} in {}".format(p, year2, sig(price / ratio),
year1))
else:
print("$1 in {} = ${} in {}".format(year1, sig(ratio), year2))
print("$1 in {} = ${} in {}".format(year2, sig(1 / ratio), year1))
def do_sig(self, line):
_sig = sig(self.line_bot_api, self.event)
return _sig.calculate(line)
def PrintReport(d):
S, R, w = d["settings"], d["results"]["parts"], 79
if S["Title"].strip():
for line in S["Title"].split("\n"):
out("{0:^{1}s}".format(line, w))
tm = time.asctime(time.localtime(time.time()))
out("{0:^{1}s}".format(tm, w))
if d["seed"] is not None:
s = "Seed = " + d["seed"]
out("{0:^{1}s}".format(s, w))
out()
s = "Source files and their hashes"
out(s)
out("-"*len(s))
d["settings"]["Files"].sort()
for file in d["settings"]["Files"]:
out(" ", Hash(open(file).read())[0], file)
out()
# Process details
sig.digits = sd = S["SignificantDigits"]
proc_mean, proc_s = sig(S["ProcessMu"]), sig(S["ProcessSigma"])
meas_mean, meas_s = sig(S["MeasurementMu"]), sig(S["MeasurementSigma"])
pdist, mdist = S["ProcessDistributionName"], S["MeasurementDistributionName"]
N = S["NumberOfLots"]*S["PartsPerLot"]
nparts = FmtI(N)
nl, ppl = FmtI(S["NumberOfLots"]), FmtI(S["PartsPerLot"])
spec = sig(list(S["Specification"]))
na, nw, nd, sp = ">", 15, 30, " "*10
out('''
Process characteristics ({sd} significant figures)
-----------------------
Distributions
Process = {pdist}
Measurement = {mdist}
Process mean {sp}{proc_mean:{na}{nw}}
Process standard deviation {sp}{proc_s:{na}{nw}}
Measurement bias {sp}{meas_mean:{na}{nw}}
Measurement standard deviation {sp}{meas_s:{na}{nw}}
Part acceptance interval {sp}{spec:{na}{nw}}
Number of lots made {sp}{nl:{na}{nw}}
Parts per lot {sp}{ppl:{na}{nw}}
'''[1:].format(**locals()))
# What was actually produced
good, bad = len(R[0]), len(R[1])
goodi, badi = FmtI(good), FmtI(bad)
goodp, badp = sig(100*good/float(N)), sig(100*bad/float(N))
out('''
True (unknowable) process output
--------------------------------
Total parts made {nparts:{na}{nw}}
Actual good {goodi:{na}{nw}} ({goodp}% of total)
Actual bad {badi:{na}{nw}} ({badp}% of total)
'''[1:].format(**locals()))
# What the measurements said was produced
gtg, gtb = len(R[2]), len(R[3])
btg, btb = len(R[4]), len(R[5])
gtgi, gtbi = FmtI(gtg), FmtI(gtb)
btgi, btbi = FmtI(btg), FmtI(btb)
gtgp = sig(100*gtg/float(N))
gtbp = sig(100*gtb/float(N))
btgp = sig(100*btg/float(N))
btbp = sig(100*btb/float(N))
all = np.concatenate((R[2], R[3], R[4], R[5]))
mean = sig(np.average(all))
sdev = sig(np.sqrt(np.cov(all)))
low, high = sig(np.min(all)), sig(np.max(all))
out('''
What 100% inspection determined
-------------------------------
Good tested good {gtgi:{na}{nw}} {gtgp:{na}}%
Good tested bad {gtbi:{na}{nw}} {gtbp:{na}}% <-- Producer's risk
Bad tested good {btgi:{na}{nw}} {btgp:{na}}% <-- Consumer's risk
Bad tested bad {btbi:{na}{nw}} {btbp:{na}}%
Process mean {mean:{na}{nw}}
Process std dev {sdev:{na}{nw}}
Min, max measured [{low}, {high}]
'''[1:].format(**locals()))
# Production results
ship = FmtI(gtg + btg)
scrap = FmtI(gtb + btb)
try:
ship_badp = sig(100*gtb/float(gtg + gtb))
except ZeroDivisionError:
ship_badp = sig(0)
try:
scrap_goodp = sig(100*btg/float(btg + btb))
except ZeroDivisionError:
scrap_goodp = sig(0)
yieldr = "actual = " + sig(100*good/float(N)) + "%,"
yieldm = "measured = " + sig(100*(gtg + btg)/float(N)) + "%"
scrapr = "actual = " + sig(100*bad/float(N)) + "%,"
scrapm = "measured = " + sig(100*(gtb + btb)/float(N)) + "%"
ya, ysw = ">", 15
out('''
Production results
------------------
Parts shipped {ship:{na}{nw}} {ship_badp}% of these are bad parts
Parts scrapped {scrap:{na}{nw}} {scrap_goodp}% of these are good parts
Yield {yieldr:{ya}{ysw}} {yieldm}
Scrapped {scrapr:{ya}{ysw}} {scrapm}
'''[1:].format(**locals()))
# Financial results
# Per part:
nship, nscrap, n = gtg + btg, gtb + btb, float(N)
cprodpp = S["CostToProducePart"]
ctestpp = S["CostToTestPart"]
cshippp = S["CostToShipPart"]
cscrappp = S["CostToScrapPart"]
cvohpp = S["CostVariableOverhead"]
cfohpp = S["CostFixedOverhead"]/float(N)
ccustbadpp = S["CustomerCostPerBadPart"]
# Formatted as integers
cprod = FmtI(int(cprodpp*n))
ctest = FmtI(int(ctestpp*n))
cship = FmtI(int(ctestpp*float(nship)))
cscrap = FmtI(int(cscrappp*float(nscrap)))
cvoh = FmtI(int(cvohpp*n))
cfoh = FmtI(int(float(S["CostFixedOverhead"])))
ctprod = (n*(cprodpp + ctestpp + cvohpp + cfohpp)
+ ctestpp*float(nship) + cscrappp*float(nscrap))
ctprodi = FmtI(int(ctprod))
ctprodpp = (ctprod/n)
ppstart = ctprod/n
try:
ppship = ctprod/float(nship)
except ZeroDivisionError:
ppship = 0
# Percentages of total production cost
ppc = 100*cprodpp*n/ctprod
ptc = 100*ctestpp*n/ctprod
psc = 100*ctestpp*float(nship)/ctprod
pcs = 100*cscrappp*float(nscrap)/ctprod
pvo = 100*cvohpp*n/ctprod
pfo = 100*float(S["CostFixedOverhead"])/ctprod
tpc = 100
# Revenue & customer
sppp = S["SellingPricePerPart"]
trev = sppp*float(gtg + btg)
trevi = FmtI(int(trev))
gp = FmtI(int(trev - ctprod))
try:
gpp = 100*(trev - ctprod)/trev
except Exception:
gpp = "--"
custloss = ccustbadpp*float(btg)
custlossi = FmtI(int(custloss))
try:
custlosspp = custloss/float(nship)
except ZeroDivisionError:
custlosspp = 0
mo = ">15s"
kd, pp, pt = ">10.1f", ">8.3f", ">5.1f"
pps = "per part started"
ppsh = "per part shipped"
prp = "per received part"
out('''
Money Amount % Cost per part
----- --------- ----- -------------
Production cost {cprod:{mo}} {ppc:{pt}} {cprodpp:{pp}}
Testing cost {ctest:{mo}} {ptc:{pt}} {ctestpp:{pp}}
Shipment cost {cship:{mo}} {psc:{pt}} {cshippp:{pp}}
Cost to scrap {cscrap:{mo}} {pcs:{pt}} {cscrappp:{pp}}
Variable overhead cost {cvoh:{mo}} {pvo:{pt}} {cvohpp:{pp}}
Fixed overhead cost {cfoh:{mo}} {pfo:{pt}} {cfohpp:{pp}}
--------- ----- --------
Total production cost {ctprodi:{mo}} {tpc:{pt}} {ppstart:{pp}} {pps}
{ppship:{pp}} {ppsh}
Revenue {trevi:{mo}} {sppp:{pp}} selling price
Gross profit {gp:{mo}}
'''[1:-1].format(**locals()))
if gpp == "--":
out('''
% gross profit --%
Customer's loss {custlossi:{mo}} {custlosspp:{pp}} {prp}
'''[1:-1].format(**locals()))
else:
out('''
% gross profit {gpp:{kd}}%
Customer's loss {custlossi:{mo}} {custlosspp:{pp}} {prp}
'''[1:-1].format(**locals()))
