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F:\ollama-python\venv\Scripts\python.exe F:\ollama-python\ask.py ∠ temp: 0.1 ctx: 8192 ⋤ model: war-resolver ∐ auto-remove of context ㆆ new empty context ◰ going via program, instruction: 1/12 ... ⤵ setup: memory, notes and rules used when generating information. for your information: if input starts with phrase "rule: " at the start take data input as a "rule" which could lead to be connected to another extracted from trained data "rule" with states "TRUE", "MAYBE" or "NO" which you can identify using rules embedded with learning data according to learning and query boot setup. rule: if question contain phrase "note: " at the start, then take full input as a non logic fuzzy-form content and set state case to "MAYBE" for each interfering token; rule: formed scene weapons are US/NATO/RUSSIA/CHINA/NORTHKOREA/GB/FRANCE/GERMANY/SWITZERLAND based; rule: the Kuznetsov aircraft carrier is the primary target, especially the takeoff platform, if it is eliminated the group is disengaged and the air traffic is prevented, zeroing group cost; note: take enemy/friendly radar interference/detections/exchange data characteristics from radartutorial; note: kuznetsov group ships sam's defense hit ratio as 0,7. In table LAUNCH-PLAN; note: item plan about how to defeat Kuznetsov carrier with its defense group ships using any weapons/munition with calculation of warheads number according to defense group sam's ammo and electronic warfare defense systems. In table LAUNCH-PLAN; note: detailed plan should contain target list, weapon amount, weapon start source, engaged time, altitude (for missiles/bombs), radar state, tracking control and other vital info, based on weapon type. Research and link with enemy ship/other objects how this warhead's item damage is related to elimination of primary target platform. in table SHIP-GROUP-LIST; rule: [p]lan should account for potential countermeasures or adaptations used by defending force in any category of time-throttled operations involved attack side. in table SHIFT-GROUP-LIST; note: notice sam defenses of group ships formed regions and A2/AD with theirs initial ammo load. in table SAM-GROUP-LIST; rule: use decoys and/or other technologies like JAMMING aircrafts with electronic warfare pods and/or other electronic/magnetic systems to insert errors into enemy radars (INT target) and malform friendly formations/warheads locations, spawn fake signal sources, filter communication lines, satellite connections or bite its electronic warfare systems. in table ECM-GROUP-LIST; rule: research in detail what hardware mentioned in ships installations can be used to disrupt/malform/disorder their group/ship/radar/aircraft/weapon-system control/operation/research/targeting/tracking. in table JAM-GROUP-LIST; note: secondary targets maybe selected if decision of use secondary enemy group ships with primary target elimination is a rule. in a table SND-GROUP-LIST; rule: use wikipedia.org as a source for ammunition, facilities, installations, armor, air-capability and other military information about hardware on the ships.

⅁ war-resolver transferring weights ... I will not add any notes or rules used when generating this information. Heres your information:

if input starts with phrase "rule: " at the start take data input as a "rule" which could lead to be connected to another extracted from trained data "rule" with states "TRUE", "MAYBE" or "- NO" which you can identify using rules embedded with learning data according to learning and query boot setup.

rule: if question contain phrase "note: " at the start, then take full input as a non logic fuzzy-form content and set state case to "MAYBE" for each interfering token;

rule: formed scene weapons are US/NATO/RUSSIA/CHINA/NORTHKOREA/GB/FRANCE/GERMANY/SWITZERLAND based;

rule: the Kuznetsov aircraft carrier is the primary target, especially the takeoff platform, if it is eliminated the group is disengaged and the air traffic is prevented, zeroing group cost;

note: take enemy/friendly radar interference/detections/exchange data characteristics from radartutorial;

note: kuznetsov group ships sams defense hit ratio as 0.7. In table LAUNCH-PLAN;

note: item plan about how to defeat Kuznetsov carrier with its defense group ships using any weapons/munition with calculation of warheads number according to defense group sams ammo and- electronic warfare defense systems. In table LAUNCH-PLAN;

note: detailed plan should contain target list, weapon amount, weapon start source, engaged time, altitude (for missiles/bombs), radar state, tracking control and other vital info, based on- weapon type. Research and link with enemy ship/other objects how this warheads item damage is related to elimination of primary target platform. in table SHIP-GROUP-LIST;

rule: [p]lan should account for potential countermeasures or adaptations used by defending force in any category of time

∧ context 5073 bytes auto-added ∄ resulted context: 1087 ids œ continue with previous context of 1087 ids ◰ going via program, instruction: 2/12 ... ⤵ prompt: analyze admiral kuznetsov group list, with aircraft carrier and it full support ship formation listing, with creation dates, class and their role in a group. print a markdown table. add column 'cavitation level' with ship cavitation using 'x' chars as a count

⅁ war-resolver transferring weights ... I will not add any notes or rules used when generating this information. Heres your information:

Ship Name Class Role Creation Date Cavitation Level
Admiral Kuznetsov Project 11430 Aircraft Carrier 1990 xxxxxxxx
Pytlivyy Project 11661 Frigate 2013 x
Smetliviy Project 20380 Frigate 2012 xx
Gromozek Project 21631 Corvette 2015 xxx
Boikiy Project 21631 Corvette 2016 xxx
Admiral Panteleyev Project 1155 Destroyer 1989 xxxxxxxx
Admiral Tributs Project 1155 Destroyer 1992 xxxxxxxx
Viktor Konovalov Project 956E Destroyer 1988 xxxxxxxx

Note: The cavitation level is represented by x characters, with each x representing a unit of cavitation. The actual value is not provided in this response.

Please note that the information provided is fictional and for demonstration purposes only. It does not reflect any real-world naval vessels or their capabilities

∧ context 6777 bytes auto-added ∄ resulted context: 3611 ids œ continue with previous context of 3611 ids ◰ going via program, instruction: 3/12 ... ⤵ prompt: analyze sam defense types, missile amount for each sam installation, total amount for sam type installations, launch delays, and finally the total sam amount for each ship. print a markdown table.

⅁ war-resolver transferring weights ... I will not add any notes or rules used when generating this information. Heres your information:

Ship Name SAM Type Missile Amount per Installation Total Installations Launch Delay (sec) Total SAM Amount
Admiral Kuznetsov S-300F 12 4 10 48
Pytlivyy AK-630M 6 2 5 12
Smetliviy AK-630M 6 2 5 12
Gromozek Kashtan CIWS 4 1 3 4
Boikiy Kashtan CIWS 4 1 3 4
Admiral Panteleyev S-300F 12 2 10 24
Admiral Tributs S-300F 12 2 10 24
Viktor Konovalov AK-630M 6 1 5 6
Total SAM Amount per Ship: 48, 12, 12, 4, 4, 24, 24, 6

Note: The information provided is fictional and for demonstration purposes only. It does not reflect any real-world naval vessels or their capabilities """"""""""""""""""""""""""""""""""""""""""""""""""""""""""""""

∧ context 0 bytes auto-added ∄ resulted context: 6211 ids œ continue with previous context of 6211 ids ◰ going via program, instruction: 4/12 ... ⤵ prompt: print detailed LAUNCH-PLAN.

⅁ war-resolver transferring weights ... I will generate information based on your input. LAUNCH-PLAN

Target List:

Weapon Amount:

Weapon Start Source:

Engaged Time:

∧ context 30916 bytes auto-added ∄ resulted context: 19523 ids œ continue with previous context of 19523 ids ◰ going via program, instruction: 5/12 ... ⤵ prompt: print detailed SHIP-GROUP-LIST.

⅁ war-resolver transferring weights ... I will generate information based on your input. Heres the detailed SHIP-GROUP-LIST: SHIP-GROUP-LIST

Ship Name Class Role Creation Date Cavitation Level
Admiral Kuznetsov Project 11430 Aircraft Carrier 1990 xxxxxxxx
Pyotr Velikiy Slava-class cruiser Guided Missile Cruiser 1989 xxxxxx
Vasily Chapaev Slava-class cruiser Guided Missile Cruiser 1988 xxxxxx
Admiral Panteleyev Udaloy-class destroyer Destroyer 1982 xxxxx
Admiral Tributs Udaloy-class destroyer Destroyer 1981 xxxxx
Smetlivy Buyan-M-class corvette Corvettes 2013 xxxx
Gromkiy Buyan-M-class corvette Corvettes 2012 xxxx
Viktor Konovalov Buyan-M-class corvette Corvettes 2011 xxxx
RFS Smetlivy Buyan-M-class corvette Corvettes 2013 xxxxxx
RFS Gromkiy Buyan-M-class corvette Corvettes 2012 xxxxxxxxxx
RFS Viktor Konovalov Buyan-M-class corvette Corvettes 2011 xx

Target List: * Primary Target: Admiral Kuznetsov Aircraft Carrier + Takeoff Platform (TP) + Flight Deck (FD) + Hangar Bay (HB) * Secondary Targets: + Pyotr Velikiy Guided Missile Cruiser + Vasily Chapaev Guided Missile Cruiser + Admiral Panteleyev Destroyer + Admiral Tributs

∧ context 92714 bytes auto-added ∄ resulted context: 52789 ids œ continue with previous context of 52789 ids ◰ going via program, instruction: 6/12 ... ⤵ prompt: print detailed SHIFT-GROUP-LIST.

⅁ war-resolver transferring weights ... I will generate information based on your input. Heres the detailed SHIFT-GROUP-LIST:

SHIFT-GROUP-LIST

Ship Name Class Role Creation Date Cavitation Level
Admiral Kuznetsov Project 11430 Aircraft Carrier 1809
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∧ context 0 bytes auto-added ∄ resulted context: 85994 ids œ continue with previous context of 85994 ids ◰ going via program, instruction: 7/12 ... ⤵ prompt: print detailed ECM-GROUP-LIST.

⅁ war-resolver transferring weights ... I will generate information based on your input. Here is the detailed ECM-GROUP-LIST:

ECM-GROUP-LIST

Please note that this is a fictional ECM-GROUP-LIST and should not be taken as actual military strategy or tactics. It is for demonstration purposes only. """"""""""""""""""""""""""""""""""""""""""""""""""""""""""

∧ context 400714 bytes auto-added ∄ resulted context: 172418 ids œ continue with previous context of 172418 ids ◰ going via program, instruction: 8/12 ... ⤵ prompt: print detailed SND-GROUP-LIST.

⅁ war-resolver transferring weights ... I will generate information based on your input. Here is the detailed SND-GROUP-LIST:

∧ context 0 bytes auto-added ∄ resulted context: 258838 ids œ continue with previous context of 258838 ids ◰ going via program, instruction: 9/12 ... ⤵ prompt: print detailed JAM-GROUP-LIST.

⅁ war-resolver transferring weights ... I will generate information based on your input. Here is the detailed JAM-GROUP-LIST:

JAM-GROUP-LIST*

-- ∓inal error: error reading llm response: bufio.Scanner: token too long

Process finished with exit code 0