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maxfield's Introduction

Introduction

This code is designed to make a plan for linking a given set of portals in the way (and the order) that creates the most fields. This is harder than it sounds. If you're working on more than a dozen portals, learning to use this code may be faster than planning by hand.

This code follows the procedure in my YouTube video.

Prerequisites

You'll need Python (I've got 2.7) as well as networkx, numpy, and matplotlib.

You can get these setup easily with the Enthought Python Distribution.

You can use pip to install the dependencies via:

pip install -r requirements.txt

Example

I'll be distributing this code with a file EXAMPLE.csv. Try running

python maxfield.py -n 4 EXAMPLE.csv output/ output.pkl

This will put a bunch of files into the "output/" directory (see OUTPUT FILE LIST)

Now try running

python maxfield.py -n 3 output/output.pkl

This uses the plan stored in output.pkl instead of calculating a new one. It will create files for 3 agents instead of 4.

OUTPUT FILE LIST

keyPrep.txt
	List of portals, their numbers on the map, and how many keys are needed

keys_for_agent_M_of_N.txt
	List of keys agent number M will need (if N agents are participating)

links_for_agent_M_of_N.txt
	List of ALL the links
	Total distance traveled and AP earned by agent number M
		* Except for the links marked with a star (*), the links should be made IN THE ORDER LISTED
		* Links with a star can be made out of order, but only EARLY i.e. BEFORE their position in the list (this can save you time)
		* The links that agent number M makes are marked with underscores__
		* The first portal listed is the origin portal (where the agent must be)
		* The second portal listed is the destination portal (for which the agent must have a key)

portalMap.png
	A map showing the locations of the portals
linkMap.png
	A map showing the locations of portals and links
		* Up is north
		* Portal numbers increase from north to south
		* Portal numbers match "keyPrep.txt" and "linkes_for_agent_M_of_N.txt"
		* Link numbers match those in the link schedules "links_for_agent_M_of_N.txt"

ownershipPrep.txt
	List of portals whose first link is incoming
		* These portals need to be captured and fully powered before the linking operation
	List of portals whose first link is outgoing
		* You may be able to save time by capturing and fully powering these portals DURING the linking operation

lastPlan.pkl
	A Python pickle file containing all portal and plan information
		* The default name is "lastPlan.pkl"
		* In the examples above, this is called "output.pkl"

Usage

python maxfield.py [-b] [-n agent_count] input_file [output_directory] [output_file]

-b:          Include this option if you like your maps blue instead of green for any reason

agent_count: Number of agents for which to make a plan

input_file:  One of two types of files:
    .csv
        a semicolon-delimited file
        the actual file extension does not matter as long as it is not ".pkl"

        two acceptable formats:
            
            portal name ; lat ; lng [;keys]
            OR
            portal name ; Intel URL [;keys]

            To get the Intel URL:
                * Click on the portal at ingress.com/intel
                * Click on "Link" near the top right of the screen
                * Copy and paste the URL from the box that appears
            Example of an Intel URL:
                https://www.ingress.com/intel?ll=29.719016,-95.397893&z=19&pll=29.719011,-95.397881

        portal name should not contain a semicolon
        lat and lng should be the portal's global coordinates
            e.g. the Big Ben portal is at 51.500775,-0.124466
        keys (optional parameter) is the number of keys you have for the portal
        If you leave this blank, the program assumes you have no keys

    .pkl   an output from a previous run of this program
        this can be used to make the same plan with a different number of agents

output_directory: directory in which to put all output
    default is the working directory

output_file: name for a .pkl file containing information on the plan
    if you later use this for the input file, the same plan will be
    produced with the number of agents you specify (default: "lastPlan.pkl")

Warranty and Copyright

Copyright (C) 2015 by Jonathan Baker: [email protected]

Maxfield is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

Maxfield is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with Maxfield in a file called COPYING.txt. If not, see http://www.gnu.org/licenses/.

Notes

The space of possible field-maximizing plans is large. Rather than trying every possibility, Maxfield randomly tries some plans and presents you with one.

maxfield's People

Contributors

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maxfield's Issues

makePlan.py script

I cannot find the script, am I the only one? Running the example gives me the "No such file or directory" error. I'm lost..

Getting Crossing Links in the Plan

Attempting to create a simple plan in neighborhood where I live results in links that cross.

test.csv:
Woodlawn Park,41638819,-9366202 Tai Village,41634709,-93651795 Debra Heights Wesleyan Church,41634182,-93664581 Living Waters Friends Church,41629703,-93662797 Darrel L. Thompson Memorial,41629005,-93653673 Trinity Temple,41632202,-93671829

links_for_agent_1_of_1.txt:
Complete link schedule issued to agent 1 of 1

Links marked with * can be made EARLY

Total time estimate: 111611 minutes

----------- AGENT DATA -----------
Distance traveled: 13392833 m
Links made: 10
Fields completed: 8
Total experience: 13130 AP

Link Agent Map# Link Origin
Link Destination

0* ____1 5 Darrel L. Thompson Memorial
2 Tai Village

1* ____1 2 Tai Village
3 Trinity Temple

2 ____1 5 Darrel L. Thompson Memorial
3 Trinity Temple

3* ____1 3 Trinity Temple
4 Living Waters Friends Church

4* ____1 3 Trinity Temple
0 Woodlawn Park

5* ____1 3 Trinity Temple
1 Debra Heights Wesleyan Church

6 ____1 1 Debra Heights Wesleyan Church
2 Tai Village

7 ____1 5 Darrel L. Thompson Memorial
0 Woodlawn Park

8 ____1 0 Woodlawn Park
2 Tai Village

9 ____1 0 Woodlawn Park
1 Debra Heights Wesleyan Church

10 ____1 4 Living Waters Friends Church
5 Darrel L. Thompson Memorial
`

'DiGraph' object has no attribute 'triangulation'

input.csv:

A, 4615, -3916, 0
B, 4134, -4183, 0
C, 3888, -4038, 0

python ../makePlan.py 1 input.csv output1

IMPROVEMENT:
total: 0
max: 0
weighted: 0
KEY PERFECTION
Choosing plan requiring 0 additional keys, max of 0 from single portal
Traceback (most recent call last):
File "../makePlan.py", line 170, in
for t in a.triangulation:
AttributeError: 'DiGraph' object has no attribute 'triangulation'

Suggestion: IITC plugin to extract basic portal data

There already exists an IITC plugin that on its own implements a very limited "max fields" behaviour, so the data is certainly there[1].

Just would need a similar extension that either did manual input of portals via selection, or simply using "The current viewport". The first of those limits what portals you can include by requiring a click-scan behaviour, but can easily be extended beyond a viewport size and won't be limited by portal visibility settings. The second of which is more convenient, but can exclude important portals due to the zoom limits.

This would also be able to tie in nicely with #17 once it is worked out how, in that IITC could help garner what links, fields and link-directions are already present to factor in, and that would also reduce any queries you have to do yourself to google's servers to determine that data

It would also be a good place to assign agents to keys, because it would be a simple case of going "click as agent #1", then clicking Agent1's portals, etc.

1: As to why I'm just not using that plugin, its nowhere near as useful as maxfields is, and doing the heavy lifting in the browser is just bad design imho, because browsers are not very specialised at solving those sorts of problems.

Agent Numbers

Great software. For some reason though I am unable to properly designate a number of agent other than leaving it at the default and getting plans for 1? Anyone else having problems with this - python makePlan.py 4 EXAMPLE.csv out/ output.pkl - does not appear to work.

Bug: Incorrect direction on some links

See https://gist.github.com/roncli/91abc2ae7049cf2e70f54f626045eacd for the input and link output.

Specifically, I want to focus on these links:

  41  ____1   15 Twin Pines Park Lion Sculpture
              19 The Book Nook

  42  ____1   17 Twin Pines Park Dedication Sto
              19 The Book Nook

  43  ____1   14 Carved Tree Sculpture
              19 The Book Nook

41 creates the link, and the ensuing field encloses Twin Pines Park Dedication Stone and Carved Tree Sculpture. However, the program now wants me to throw links 42 and 43 to The Book Nook from INSIDE the field, whereas throwing it from the Book Nook is the only way to make the fields, because The Book Nook is on the edge of any fields, whereas the other two are inside fields.

So, links 42 and 43 need to be thrown from The Book Nook, not from the other portals. I'm not sure why the program did not catch this.

Otherwise, the plan worked great.

Error - ImportError: No module named networkx

I used Canopy and tried to execute. Please let me know if you require more info.

Glenns-MacBook-Pro:maxfield-master lucky$ python makePlan.py 4 EXAMPLE.csv out/ output.pkl
Traceback (most recent call last):
File "makePlan.py", line 43, in
import networkx as nx
ImportError: No module named networkx
Glenns-MacBook-Pro:maxfield-master lucky$

Glenns-MacBook-Pro:maxfield-master lucky$ ls
Glenns-MacBook-Pro:maxfield-master lucky$ python makePlan.py 4 EXAMPLE.csv out/ output.pkl
Traceback (most recent call last):
File "makePlan.py", line 43, in
import networkx as nx
ImportError: No module named networkx
Glenns-MacBook-Pro:maxfield-master lucky$ ls
EXAMPLE.csv README.txt lib makePlan.py
Glenns-MacBook-Pro:maxfield-master lucky$ ls -ltr
total 40
-rwxr-xr-x@ 1 lucky staff 5942 Feb 1 10:19 makePlan.py
drwxr-xr-x@ 11 lucky staff 374 Feb 1 10:19 lib
-rwxr-xr-x@ 1 lucky staff 5034 Feb 1 10:19 README.txt
-rwxr-xr-x@ 1 lucky staff 1792 Feb 1 10:19 EXAMPLE.csv

License of the package.

Hello,

What license(s) have you released this package under?
I did not find any reference to a license in the library code or README.

Kind Regards,
Camisa

IndexError running sample

I have python 2.7.9 running on a Mac. I ran pip install as documented, and then ran the sample as documented.

$ python makePlan.py -n 4 EXAMPLE.csv out/ output.pkl
/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/numpy/core/_methods.py:55: RuntimeWarning: Mean of empty slice.
warnings.warn("Mean of empty slice.", RuntimeWarning)
/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/numpy/core/_methods.py:65: RuntimeWarning: invalid value encountered in true_divide
ret, rcount, out=ret, casting='unsafe', subok=False)
Traceback (most recent call last):
File "makePlan.py", line 261, in
sys.exit(main())
File "makePlan.py", line 161, in main
xy = geometry.gnomonicProj(locs,xyz)
File "/Users/runix/prog/ingress/maxfield/lib/geometry.py", line 173, in gnomonicProj
a = np.pi/2-pts[:,0]
IndexError: too many indices

Does this code need a particular version of Python or some other change to the environment?

Output KML instead of *.png

Small png shots are useless when portal/links density is high.
What if output would be KML, which can be visualized in any map software (e.g. Google Earth)?
It's even possible for links to appear step by step, and their sequence could be included in same kml file.

got error message

got this

C:\Python27>python makePlan.py 1 KYam-HaiPark.csv out5
IMPROVEMENT:
total: 0
max: 0
weighted: 0
KEY PERFECTION
Choosing plan requiring 0 additional keys, max of 0 from single portal
Traceback (most recent call last):
File "makePlan.py", line 175, in
for t in a.triangulation:
AttributeError: 'DiGraph' object has no attribute 'triangulation'

10x for help

Portal order in CSV affects result

Why the order you put the portals in the CSV file affects the links you should create? I think that order should not affect it. Am I wrong?

Anyway, thank you very much for your program. Very useful! ;)

Coordinate problem?

I only get a bunch of points on the same place on the map. It seems there is a problem with the coordinates. All portals except two are on the top left corner ?!?!

My output:
linkmap

My input:

Materl Maria Hollabrunn (nördlich),48570723,16084928
Kreuz,48570339,16080256
Hollabrunn - Heiligenstatue,48568594,16076083
Weinkeller der Landw. Fachschule,48568231,16072385
Historical House with Wine,48568025,16072355
Kreuz Jesus Hollabrunn (nördlich),48567711,16080396
Hollabrunn - Wasserrad,48567643,16080976
Museum Alte Hofmühle,48566791,16083500
Speicher 2,48567042,16084442
Hollabrunn - Brunnen am Lothringerplatz,48566393,16079945
Haus,48565154,16079602
Hollabrunn Trainstation,48562838,16072682
Maximilian Jordan,48562758,16078164
Pfarrer Josef Strauss,48563000,16078810
Koliskoplatzsäule,48563475,48563475
Altes Gericht,48563241,16080782
Denkmal,48562659,16078874
Hollabrunn Hauptplatz Stadtbru,48562340,16078818
Rathaus,48561926,16079114
VS Turnsaal,48562162,16080759
Standesamt Hollabrunn,48561578,16078940
Brunnen im Haus Hollabrunn,48561360,16079024
Pfarrkirche St. Ulrich,48561439,16079876
EBRG/ARG Hollabrunn,48561277,16081757
Materl (östlich),48561865,16094441
Kriegerdenkmal Magersdorf,48561280,16098256
Johannes Nepomuc,48561531,16102338
Nepomuk Statue Magersdorf,48561312,16103039
Kapelle Magersdorf,48560807,16105272
Kapelle Magersdorf (nördlich),48561586,16106069
Hollabrunn Kreisverkehr Brunnen,48561185,16073883
Badhaus,48561007,16074579
Denkmal Hollabrunn,48560697,16071792
HTL Hollabrunn,48560343,16070354
Frisch&Fein,48559705,16069863
Alter Schlachthof,48560103,16073791
Old Slaughterhouse Hollabrunn,48559900,16073780
Heiligenbildstock,48559635,16080192
Kapelle,48558610,16067654
Sporthalle Hollabrunn,48557648,16073914
Zechmeister,16073914,16079061
Historisches Gebäude Hollabrunn,48554932,16079491
Russischer Soldatenfriedhof,48554112,16084890
Heiliger Hubertus,48555217,16088024
Materl,48552514,16077598
Kreuz Jesus Hollabrunn,48549769,16078932
Materl Maria Hollabrunn,48549665,16079179

Biased Maps

I intend to add the option to make the maps' links and portals blue. I think the Resistance may prefer this.

# of Keys

What happens if I leave the # of keys blank for everything, or should I append a large number to each portal if I don't mind farming many of them?

Maxfield.py Lines 136 on seems to be what I'm looking for, if it's left blank assume that there are none?

Failed maxfield

Failed maxfield (if this happens many times, this loop could be infinite. Ill fix this sometime)
Hmm not sure whats causing this

Number of links stated in the output is incorrect

In the agent data section, the number of links to be made by the agent is 1 less than the actual number of keys assigned to the agent. From the code, I believe (in agentLinks() function) you did not account for the first link. Please take a look, thanks!

Max fields

I'm no python king. But is it possible to add the functionality to show how many fields will be created with the output of the report? I used your script now a couple of times and when handing out the plans to the agents i got the questions a couple of times how many fields there will be created.

So now you see in links_for_agent_x_of_x.txt

Agent distance: 10371 m
Agent experience: 149111 AP
Example to add:
Agent fields: 36 fields

p.s. Many thanks for your work on this script

Pre-existing links

I'm in an area where there are a couple/few links that I cannot take down (it's my side). Is there any way to define these pre-existing links and have the program work around this limitation? The other issue is that I'm not sure if these are inbound or outbound links.

Related to this, to be able to define existing links to outside of the fielding area. Again, the unknown is if the links are inbound or outbound, but would affect the perfect fielding.

accuracy of calculated agent-travel distance (and time)?

If I understand correctly, the distance between a given pair of portals (which indirectly also determines the amount of required travel time) is calculated based upon the simple line-of-sight route, and does not take into account the real-world walking/driving route.

If it were somehow possible to utilize the Google Maps knowledge of the latter [via the Distance Matrix API?] in order to make the calculations more meaningful, that would be most wonderful!

Also, it would be nice if each step of the Agent's plan, in traveling from one link-origin to the next, could show the calculated travel distance (and time) from the previous step.

getting ValueError: zero lenght field name in format

Greetings,

I'm trying to get this running on a CentOS 6 VM and I'm about 90% there. However, I'm running into an issue in the PlanPrinter.py when trying to setup the agent link files.

I've included a bunch of OS/package information and the run attempt below.

Please let me know if you need any more information.

specifics:

Linux python 2.6.32-431.el6.x86_64 #1 SMP Fri Nov 22 03:15:09 UTC 2013 x86_64 x86_64 x86_64 GNU/Linux

Python 2.6.6 (r266:84292, Jan 22 2014, 09:42:36)
[GCC 4.4.7 20120313 (Red Hat 4.4.7-4)] on linux2

python-pycurl-7.19.0-8.el6.x86_64
python-iniparse-0.3.1-2.1.el6.noarch
python-libs-2.6.6-52.el6.x86_64
python-nose-0.10.4-3.1.el6.noarch
python-dateutil-1.4.1-6.el6.noarch
python-matplotlib-0.99.1.2-1.el6.x86_64
python-urlgrabber-3.9.1-9.el6.noarch
rpm-python-4.8.0-37.el6.x86_64
newt-python-0.52.11-3.el6.x86_64
python-2.6.6-52.el6.x86_64
python-setuptools-0.6.10-3.el6.noarch

numpy and networkx are both installed

Here is the output of the tried run:

[pel@python maxfield-master]$ python makePlan.py 2 vinal.csv out/ vinal.pkl
IMPROVEMENT:
total: 47
max: 4
weighted: 55
All keys used. Improvement impossible
Choosing plan requiring 47 additional keys, max of 4 from single portal
Planning agent movements:
0
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
/usr/lib64/python2.6/site-packages/matplotlib/backends/backend_gtk.py:621: DeprecationWarning: Use the new widget gtk.Tooltip
self.tooltips = gtk.Tooltips()
Traceback (most recent call last):
File "makePlan.py", line 206, in
PP.agentLinks()
File "/home/pel/maxlinks/maxfield-master/lib/PlanPrinter.py", line 328, in agentLinks
self.names[q]
ValueError: zero length field name in format
[pel@python maxfield-master]$
[pel@python maxfield-master]$ cd out
[pel@python out]$ ls -l
total 192
-rw-rw-r--. 1 pel pel 1005 Mar 20 16:43 keyPrep.txt
-rw-rw-r--. 1 pel pel 760 Mar 20 16:43 keys_for_agent_1_of_2.txt
-rw-rw-r--. 1 pel pel 760 Mar 20 16:43 keys_for_agent_2_of_2.txt
-rw-rw-r--. 1 pel pel 114826 Mar 20 16:43 linkMap.png
-rw-rw-r--. 1 pel pel 269 Mar 20 16:43 links_for_agent_1_of_2.txt
-rw-rw-r--. 1 pel pel 706 Mar 20 16:43 ownershipPrep.txt
-rw-rw-r--. 1 pel pel 22808 Mar 20 16:43 portalMap.png
-rw-rw-r--. 1 pel pel 29341 Mar 20 16:43 vinal.pkl
[pel@python out]$
[pel@python out]$ cat keyPrep.txt
Keys Needed | Lacked |
3 | 3 | A Perpetual Flower for Kate
2 | 2 | Allan and Herbert Clark Asiatic Sea
3 | 3 | Anne Mackay Memorial Library
2 | 2 | Bruce N. Freeman Lake
4 | 4 | Chelmsford
5 | 5 | Chelmsford Billerica Gift to Chelmsford
3 | 3 | Chelmsford Highland Park
1 | 1 | Chelmsford Southwell Park
0 | 0 | Hadley Park
2 | 2 | North Chelms Congregational
3 | 3 | North Chelmsford Hardware Est 1946
3 | 3 | North Chelmsford Old Town Hall
0 | 0 | North Chelmsford The Mills
1 | 1 | Riverside Cemetery
2 | 2 | Saint John the Evangelist
2 | 2 | US Post Office Kennedy Drive
2 | 2 | Vietnam Memorial
3 | 3 | Williamsburg Condo Post Office
1 | 1 | Williamsburg at Chelmsford
2 | 2 | statue in Vinal Square
[pel@python out]$ cat keys_for_agent_1_of_2.txt
Keys for Agent 1 of 2

Map# Keys Name
14 2 A Perpetual Flower for Kate
19 Allan and Herbert Clark Asiatic Sea
12 2 Anne Mackay Memorial Library
10 Bruce N. Freeman Lake
9 4 Chelmsford
6 4 Chelmsford Billerica Gift to Chelmsford
16 2 Chelmsford Highland Park
2 1 Chelmsford Southwell Park
13 Hadley Park
8 North Chelms Congregational
3 1 North Chelmsford Hardware Est 1946
11 2 North Chelmsford Old Town Hall
15 North Chelmsford The Mills
17 Riverside Cemetery
18 1 Saint John the Evangelist
4 1 US Post Office Kennedy Drive
7 2 Vietnam Memorial
1 1 Williamsburg Condo Post Office
0 Williamsburg at Chelmsford
5 1 statue in Vinal Square
[pel@python out]$ cat keys_for_agent_2_of_2.txt
Keys for Agent 2 of 2

Map# Keys Name
14 1 A Perpetual Flower for Kate
19 2 Allan and Herbert Clark Asiatic Sea
12 1 Anne Mackay Memorial Library
10 2 Bruce N. Freeman Lake
9 Chelmsford
6 1 Chelmsford Billerica Gift to Chelmsford
16 1 Chelmsford Highland Park
2 Chelmsford Southwell Park
13 Hadley Park
8 2 North Chelms Congregational
3 2 North Chelmsford Hardware Est 1946
11 1 North Chelmsford Old Town Hall
15 North Chelmsford The Mills
17 1 Riverside Cemetery
18 1 Saint John the Evangelist
4 1 US Post Office Kennedy Drive
7 Vietnam Memorial
1 2 Williamsburg Condo Post Office
0 1 Williamsburg at Chelmsford
5 1 statue in Vinal Square
[pel@python out]$ cat links_for_agent_1_of_2.txt
Complete link schedule issued to agent 1 of 2

Total time estimate: 24 minutes

Agent distance: 45 m
Agent experience: 29699 AP

Links marked with * can be made EARLY

Link Agent Map# Link Origin

Link Destination

[pel@python out]$ cat ownershipPrep.txt
These portals' first links are incoming
They should be at full resonators before linking
Anne Mackay Memorial Library
Bruce N. Freeman Lake
Chelmsford
Chelmsford Billerica Gift to Chelmsford
Chelmsford Highland Park
Chelmsford Southwell Park
North Chelms Congregational
North Chelmsford Hardware Est 1946
North Chelmsford Old Town Hall
Riverside Cemetery
Saint John the Evangelist
US Post Office Kennedy Drive
Vietnam Memorial
Williamsburg Condo Post Office
Williamsburg at Chelmsford
statue in Vinal Square

These portals' first links are outgoing
Their resonators can be applied when first agent arrives
A Perpetual Flower for Kate
Allan and Herbert Clark Asiatic Sea
[pel@python out]$

my CSV looks like this:

[pel@python maxfield-master]$ cat vinal.csv
Allan and Herbert Clark Asiatic Sea,426346,-713979
Bruce N. Freeman Lake,426380,-713914
Williamsburg Condo Post Office,426460,-713899
Williamsburg at Chelmsford,426466,-713893
Chelmsford Southwell Park,426414,-713801
US Post Office Kennedy Drive,426390,-713804
North Chelmsford Hardware Est 1946,426397,-713840
Anne Mackay Memorial Library,426372,-713838
statue in Vinal Square,426387,-713824
Chelmsford Billerica Gift to Chelmsford,426386,-713819
North Chelms Congregational,426382,-713823
Chelmsford,426382,-713818
Vietnam Memorial,426385,-713816
North Chelmsford Old Town Hall,426375,-713815
North Chelmsford The Mills,426360,-713798
Chelmsford Highland Park,426360,-713798
Saint John the Evangelist,426357,-713732
Riverside Cemetery,426358,-713718
A Perpetual Flower for Kate,426363,-713713
Hadley Park,426363,-713713
[pel@python maxfield-master]$

Avaible keys optimization

Hi,
great work with the code there! I had my 1st experience with py but managed to run it (thanks for the detailed how to).

Here is a question: would it be possible to optimize CF/Links configuration for the given keys parameter? Often some portals won't drop as many keys as we like, while others do it everytime. Eventually I end up waiting burnout cylces to collect 1-2 missing keys and having a load of others.
So, if I could omit the maxed out CF configuration for the sake of making the best out of the keys I have that would be awesome.

Regards!

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