RecursionError: maximum recursion depth exceeded in comparison
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Chris Price
Jun 12, 2020, 11:32:10 AM6/12/20
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I have previously posted about a shipping demurrage problem I am working on, and in formulating the problem I am receiving the following error>
The variable and decision variable definitions appear to be sound, so I am confused why I am receiving a recursion error. Code as follows:
# Vessel readiness notification (a list of 6 dates as a string in 'YYYY-MM-DD' format
vessel_notice_of_readiness_date = dict(
zip(demurrage_df.index, demurrage_df['notice_of_readiness_date'])
)
# Decision Variable: Vessel Load Date
load_start_date = pulp.LpVariable.dicts(
'Vessel Load Date',
((date, vessel) for date, vessel in demurrage_df.reset_index().set_index(['eta_date', 'vessel_name']).index),
cat='Binary',
lowBound=0,
upBound=1
)
# Instantiate class
model = pulp.LpProblem('Demurrage Optimisation Test 1', pulp.LpMinimize)
# Objective Function
model += pulp.lpSum([
demurrage_charge_vars[vessel]
for vessel in demurrage_charge_vars]
), 'Minimise Demurrage'
# Omitted full logic for clarity's sake.
# Vessels can only load when material is available
for date, vessel, grade in sales_demand_by_vessel:
model += port_inventory_vars[(date, grade)] >= sales_demand_by_vessel[(date, vessel, grade)] == load_start_date[(date, vessel)]
# Vessels can only load AFTER notice of readiness.
for date, vessel in load_start_date:
model += load_start_date[(date, vessel)] >= vessel_notice_of_readiness_date[vessel]
model += pulp.lpSum(load_start_date[vessel] - vessel_notice_of_readiness_date[vessel] * demurrage_per_day_charges[vessel]) == demurrage_charge_vars[vessel]Full error received is as follows:
RecursionError Traceback (most recent call last) <ipython-input-567-cabf4432e589> in <module>
77 # Vessels can only load AFTER notice of readiness.
78 for date, vessel in load_start_date:
---> 79 model += load_start_date[(date, vessel)] >= vessel_notice_of_readiness_date[vessel]
80 # model += pulp.lpSum(load_start_date[vessel] - vessel_notice_of_readiness_date[vessel] * demurrage_per_day_charges[vessel]) == demurrage_charge_vars[vessel]
If anyone can see where I am going wrong I would be very grateful! Thank you in advance.
Franco Peschiera
Jun 13, 2020, 5:45:11 AM6/13/20
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Can you provide a reproducible example? With all the data in the same python file?
https://stackoverflow.com/help/minimal-reproducible-example
That would really increase the chance of someone helping out since it greatly reduces the time invested for the person who answers.
F.
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Chris Price
Jun 13, 2020, 7:26:14 AM6/13/20
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Hi Franco,
Many thanks for your help.
MRE below: I have not formally formatted it as code as the previous two attempts have resulted in an error.
# SALES VARS
sales_demand = {
'2020-05-28': {
'CEYLON': {
'MAF': 0, 'PRE': 40000, 'ZBL': 0, 'AFE': 10000, 'AAC': 70000
},
'PETER ORDFF': {
'MAF': 0, 'PRE': 100000, 'ZBL': 0, 'AFE': 0, 'AAC': 0
},
'BULK JAPAN II': {
'MAF': 30000, 'PRE': 0, 'ZBL': 70000, 'AFE': 0, 'AAC': 0
},
'XIN FA': {
'MAF': 0, 'PRE': 0, 'ZBL': 9000, 'AFE': 20000, 'AAC': 0
}
},
'2020-05-29': {
'PACIFIC MAJOR': {
'MAF': 0, 'PRE': 40000, 'ZBL': 0, 'AFE': 10000, 'AAC': 70000
},
'CCSC YASA XI JING': {
'MAF': 0, 'PRE': 100000, 'ZBL': 0, 'AFE': 0, 'AAC': 0
},
'XIANG HAI HO': {
'MAF': 30000, 'PRE': 0, 'ZBL': 70000, 'AFE': 0, 'AAC': 0
},
'ROBUSTO': {
'MAF': 0, 'PRE': 0, 'ZBL': 9000, 'AFE': 20000, 'AAC': 0
}
},
'2020-05-30': {
'AQUATONIKA': {
'MAF': 0, 'PRE': 40000, 'ZBL': 0, 'AFE': 10000, 'AAC': 70000
},
'ARUNN': {
'MAF': 0, 'PRE': 100000, 'ZBL': 0, 'AFE': 0, 'AAC': 0
},
'HARALAMBO': {
'MAF': 30000, 'PRE': 0, 'ZBL': 70000, 'AFE': 0, 'AAC': 0
},
'CCSC HMMONG': {
'MAF': 0, 'PRE': 0, 'ZBL': 9000, 'AFE': 20000, 'AAC': 0
}
},
'2020-05-31': {
'SHTP TOW': {
'MAF': 0, 'PRE': 40000, 'ZBL': 0, 'AFE': 10000, 'AAC': 70000
},
'FURIOUS': {
'MAF': 0, 'PRE': 100000, 'ZBL': 0, 'AFE': 0, 'AAC': 0
},
'YASA UNITY I': {
'MAF': 30000, 'PRE': 0, 'ZBL': 70000, 'AFE': 0, 'AAC': 0
},
'OCEAN SILVER': {
'MAF': 0, 'PRE': 0, 'ZBL': 9000, 'AFE': 20000, 'AAC': 0
}
},
'2020-06-01': {
'PELICAN': {
'MAF': 0, 'PRE': 40000, 'ZBL': 0, 'AFE': 10000, 'AAC': 70000
},
'BAY OF NAPLES': {
'MAF': 0, 'PRE': 100000, 'ZBL': 0, 'AFE': 0, 'AAC': 0
},
'TIN CITY': {
'MAF': 30000, 'PRE': 0, 'ZBL': 70000, 'AFE': 0, 'AAC': 0
},
'MOORING LINE': {
'MAF': 0, 'PRE': 0, 'ZBL': 9000, 'AFE': 20000, 'AAC': 0
}
},
'2020-06-01': {
'KANG XIN HAI': {
'MAF': 0, 'PRE': 40000, 'ZBL': 0, 'AFE': 10000, 'AAC': 70000
},
'RAHI I': {
'MAF': 0, 'PRE': 100000, 'ZBL': 0, 'AFE': 0, 'AAC': 0
},
'APJ ANGAD II': {
'MAF': 30000, 'PRE': 0, 'ZBL': 70000, 'AFE': 0, 'AAC': 0
},
'CCSC ROBERTS BANK': {
'MAF': 0, 'PRE': 0, 'ZBL': 9000, 'AFE': 20000, 'AAC': 0
}
}
}
# Sales demand by vessel, grade in tonnes
sales_df = pd.DataFrame.from_records(
[
(date, vessel, grade, tonnes)
for date, vessel in sales_demand.items()
for vessel, grade in vessel.items()
for grade, tonnes in grade.items()
], columns = ['eta_date', 'vessel_name', 'grade', 'required_tonnes']
).set_index(['eta_date', 'vessel_name', 'grade'])
sales_df.index = sales_df.index.set_levels(
pd.to_datetime(sales_df.index.levels[0]).strftime('%F'),
level=0)
# Demurrage charges
demurrage_df = sales_df.reset_index()[['eta_date', 'vessel_name']].drop_duplicates()
demurrage_df['per_diem_demurrage'] = [np.random.randint(11000, 31000) for i in range(len(demurrage_df))]
demurrage_df = demurrage_df.set_index(['vessel_name'])
demurrage_df['notice_of_readiness_date'] = pd.to_datetime(demurrage_df['eta_date']).apply(pd.DateOffset(1)).dt.strftime('%F')
# Vessels: Vessel Load Date:
load_start_date = pulp.LpVariable.dicts(
'Vessel Load Date',
((date, vessel) for date, vessel in demurrage_df.reset_index().set_index(['eta_date', 'vessel_name']).index),
cat='Binary',
lowBound=0,
upBound=1
)
# Sales Demand by Vessel
sales_demand_by_vessel = dict(zip(sales_df.index, sales_df.required_tonnes))
# Vessels: Demurrage Variable
demurrage_charge_vars = pulp.LpVariable.dicts(
'Demurrage Charges',
((vessel) for vessel in demurrage_df.index),
cat='Continuous',
lowBound=0
)
# Demurrage charges by vessel
demurrage_per_day_charges = dict(
zip(demurrage_df.index, demurrage_df['per_diem_demurrage']))
# Notice of readiness
vessel_notice_of_readiness_date = dict(
zip(demurrage_df.index, demurrage_df['notice_of_readiness_date'])
)
# Port Inventory
port_inventory_vars = pulp.LpVariable.dicts(
'Port Inventory Levels',
((d, g) for d in dates for g in grades),
cat='Continuous',
lowBound=0)
# Instantiate class
model = pulp.LpProblem('Port Inventory Optimisation Test 1', pulp.LpMinimize)
solver = pulp.PULP_CBC_CMD()
solver.tmpDir = 'Users\CPrice2'
# Objective Function
model += pulp.lpSum([
demurrage_charge_vars[vessel]
for vessel in demurrage_charge_vars])
# Vessels can ony load when material is available
for date, vessel, grade in sales_demand_by_vessel:
model += port_inventory_vars[(date, grade)] >= sales_demand_by_vessel[(date, vessel, grade)] == load_start_date[(date, vessel)]
# Vessels can only load AFTER notice of readiness.
for date, vessel in load_start_date:
model += vessel_notice_of_readiness_date[vessel] <= load_start_date[(date, vessel)]
model += pulp.lpSum(load_start_date[vessel] - vessel_notice_of_readiness_date[vessel] * demurrage_per_day_charges[vessel]) == demurrage_charge_vars[vessel]
Stuart Mitchell
Jun 13, 2020, 8:14:21 AM6/13/20
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Remove the pulp.lpsum on line 80
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Chris Price
Jun 13, 2020, 12:11:13 PM6/13/20
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No change - still receiving same error?
To view this discussion on the web visit https://groups.google.com/d/msgid/pulp-or-discuss/CAOuNk4Z2S1n-rqAqD0zveNp8Z5-O8StgRo%3D6zpvGH5RW8BdTVw%40mail.gmail.com.
Chris Price
Jun 14, 2020, 3:50:46 PM6/14/20
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Is it possible that the date format is causing the error? Line 80 is comparing date strings in YYYY-MM-DD format - should I use an integer for comparing the dates?
On Saturday, June 13, 2020 at 5:11:13 PM UTC+1, Chris Price wrote:
No change - still receiving same error?
On Sat, Jun 13, 2020 at 1:14 PM 'Stuart Mitchell' via pulp-or-discuss <pulp-or-discuss@googlegroups.com> wrote:
Remove the pulp.lpsum on line 80
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Franco Peschiera
Jun 14, 2020, 4:22:26 PM6/14/20
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your code is still missing the dates and grades python variables to be defined.
Also, the the pandas, pulp and numpy library imports.
On Sun, Jun 14, 2020 at 9:50 PM 'Chris Price' via pulp-or-discuss <pulp-or...@googlegroups.com> wrote:
Is it possible that the date format is causing the error? Line 80 is comparing date strings in YYYY-MM-DD format - should I use an integer for comparing the dates?
On Saturday, June 13, 2020 at 5:11:13 PM UTC+1, Chris Price wrote:
No change - still receiving same error?
On Sat, Jun 13, 2020 at 1:14 PM 'Stuart Mitchell' via pulp-or-discuss <pulp-or...@googlegroups.com> wrote:
Remove the pulp.lpsum on line 80
To unsubscribe from this group and stop receiving emails from it, send an email to pulp-or-discu...@googlegroups.com.
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Chris Price
Jun 15, 2020, 3:56:42 AM6/15/20
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Apologies - thank you for pointing out Franco, please see below:
import datetime
import numpy as np
import pandas as pd
import pulp as pulp
# Dates
dates = [
d.strftime('%F')
for d in pd.date_range(plan_start_date, planning_horizon_max)]
# Get all grades
grades = [g for g in port_inventory_df.index]
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Franco Peschiera
Jun 15, 2020, 4:43:39 PM6/15/20
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You’re still missing variables (plan_start_date, port_inventory_df, planning_horizon_max). I suggest you copy the whole code into a new python file and try to execute it by itself until you reproduce the original problem with pulp. Please read the stackoverflow link I sent, they probably talk about this and how to do it properly.
Until you manage to reproduce your pulp problem in a MWE and then share it, it will be very hard to help you further.
regards,
F.
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