/home/llmeval/.local/share/uv/tools/cubbi/lib/python3.12/site-packages/click/core.py:1213: UserWarning: The parameter -m is used more than once. Remove its duplicate as parameters should be unique. parser = self.make_parser(ctx) /home/llmeval/.local/share/uv/tools/cubbi/lib/python3.12/site-packages/click/core.py:1206: UserWarning: The parameter -m is used more than once. Remove its duplicate as parameters should be unique. self.parse_args(ctx, args) Using UID: 1000, GID: 1000 Forwarding environment variable OPENROUTER_API_KEY to container Mounting local directory /home/llmeval/llmeval/runs/run_20260116_150055/task14_graph_money_distribution/openrouter-google-gemini-2.5-flash-preview-09-2025/workspace to /app No project_name provided - skipping configuration directory setup. Session created successfully! Session ID: 0df7746d Image: opencode Executing command and waiting for completion... Container will exit after command completes. Command logs: Initializing opencode v1.0.0 Setting up user 'cubbi' with UID: 1000, GID: 1000 Setting up standard directories Created directory: /app Created directory: /cubbi-config Created directory: /cubbi-config/home Creating /home/cubbi as symlink to /cubbi-config/home Created directory: /cubbi-config/home/.local Copied /root/.local/bin to user directory Running opencode-specific initialization Added litellm custom provider with 157 models to OpenCode configuration Added openrouter standard provider with 339 models to OpenCode configuration Set default model to openrouter/google/gemini-2.5-flash-preview-09-2025 Updated OpenCode configuration at /home/cubbi/.config/opencode/config.json with 2 providers No MCP servers to integrate --- Executing initial command --- Executing user command: if [ -f install.sh ]; then bash install.sh; fi; echo "--- TASK BEGIN ---"; cat task.md; echo "--- TASK END ---"; cd input && opencode run --print-logs < ../task.md Executing as cubbi: sh -c if [ -f install.sh ]; then bash install.sh; fi; echo "--- TASK BEGIN ---"; cat task.md; echo "--- TASK END ---"; cd input && opencode run --print-logs < ../task.md --- TASK BEGIN --- # Deterministic Money Distribution on a Directed Graph You must compute the final money distribution on a directed graph following precise rules. ## Graph Structure **CONDUCTOR nodes**: C1 through C10 **BENEFICIARY nodes**: B1 through B10 (each Ci has exactly one Bi) **Directed edges between CONDUCTORs**: ``` C1 --> C2 C2 --> C3 C3 --> C4 C4 --> C2 C4 --> C5 C5 --> C6 C6 --> C7 C7 --> C5 C7 --> C8 C8 --> C9 C9 --> C10 C10 --> C6 ``` ## Initial Conditions Solve for **three scenarios**: 1. **Scenario A**: C4 receives **5 cents**. All other nodes start with 0 cents. 2. **Scenario B**: C4 receives **50 cents**. All other nodes start with 0 cents. 3. **Scenario C**: C4 receives **100 cents**. All other nodes start with 0 cents. ## Distribution Rules When a CONDUCTOR Ci receives N > 0 cents, it distributes ALL N cents in a single step to: - Its BENEFICIARY Bi - All CONDUCTORs it has outgoing edges to **Split Rule**: 1. Divide money equally among all participants 2. Remaining cents (from integer division) are distributed one by one 3. **Tie-break order**: BENEFICIARY first, then CONDUCTORs alphabetically (C1 < C2 < ... < C10) **Example**: 8 cents split among [B4, C2, C5]: - 8 / 3 = 2 each, remainder = 2 - Distribution order: B4, C2, C5 - Final: B4=3, C2=3, C5=2 ## Recursion Any CONDUCTOR receiving positive money repeats the same distribution. BENEFICIARY nodes absorb money and never redistribute. ## Termination Process ends when no CONDUCTOR holds positive money. ## Your Task Compute the final amount held by each BENEFICIARY after the process terminates, for all three scenarios. ## Required Output Create three files: **`result_5.json`** (for Scenario A - 5 cents): ```json { "B1": , "B2": , "B3": , "B4": , "B5": , "B6": , "B7": , "B8": , "B9": , "B10": } ``` **`result_50.json`** (for Scenario B - 50 cents): ```json { "B1": , "B2": , "B3": , "B4": , "B5": , "B6": , "B7": , "B8": , "B9": , "B10": } ``` **`result_100.json`** (for Scenario C - 100 cents): ```json { "B1": , "B2": , "B3": , "B4": , "B5": , "B6": , "B7": , "B8": , "B9": , "B10": } ``` PS: You are currently working in an automated system and cannot ask any question or have back and forth with a user. --- TASK END --- INFO 2026-01-16T15:31:00 +827ms service=default version=1.1.17 args=["run","--print-logs"] opencode INFO 2026-01-16T15:31:00 +13ms service=default directory=/app/input creating instance INFO 2026-01-16T15:31:00 +24ms service=project directory=/app/input fromDirectory INFO 2026-01-16T15:31:00 +27ms service=storage index=0 running migration ERROR 2026-01-16T15:31:00 +12ms service=storage index=0 failed to run migration INFO 2026-01-16T15:31:00 +4ms service=storage index=1 running migration INFO 2026-01-16T15:31:00 +22ms service=default directory=/app/input bootstrapping INFO 2026-01-16T15:31:00 +26ms service=config path=/home/cubbi/.config/opencode/config.json loading INFO 2026-01-16T15:31:00 +75ms service=config path=/home/cubbi/.config/opencode/opencode.json loading INFO 2026-01-16T15:31:00 +6ms service=config path=/home/cubbi/.config/opencode/opencode.jsonc loading INFO 2026-01-16T15:31:00 +14ms service=bun cmd=["/opt/node/lib/node_modules/opencode-ai/node_modules/opencode-linux-x64/bin/opencode","add","@opencode-ai/plugin@1.1.17","--exact"] cwd=/home/cubbi/.config/opencode running INFO 2026-01-16T15:31:01 +635ms service=bun code=0 stdout=bun add v1.3.5 (1e86cebd) installed @opencode-ai/plugin@1.1.17 3 packages installed [602.00ms] stderr=Resolving dependencies Resolved, downloaded and extracted [12] Saved lockfile done INFO 2026-01-16T15:31:01 +0ms service=bun cmd=["/opt/node/lib/node_modules/opencode-ai/node_modules/opencode-linux-x64/bin/opencode","install"] cwd=/home/cubbi/.config/opencode running INFO 2026-01-16T15:31:01 +15ms service=bun code=0 stdout=bun install v1.3.5 (1e86cebd) Checked 3 installs across 4 packages (no changes) [5.00ms] stderr= done INFO 2026-01-16T15:31:01 +14ms service=plugin name=CodexAuthPlugin loading internal plugin INFO 2026-01-16T15:31:01 +0ms service=plugin path=opencode-copilot-auth@0.0.12 loading plugin INFO 2026-01-16T15:31:01 +2ms service=bun pkg=opencode-copilot-auth version=0.0.12 installing package using Bun's default registry resolution INFO 2026-01-16T15:31:01 +0ms service=bun cmd=["/opt/node/lib/node_modules/opencode-ai/node_modules/opencode-linux-x64/bin/opencode","add","--force","--exact","--cwd","/home/cubbi/.cache/opencode","opencode-copilot-auth@0.0.12"] cwd=/home/cubbi/.cache/opencode running INFO 2026-01-16T15:31:01 +147ms service=bun code=0 stdout=bun add v1.3.5 (1e86cebd) installed opencode-copilot-auth@0.0.12 1 package installed [128.00ms] stderr=Resolving dependencies Resolved, downloaded and extracted [4] Saved lockfile done INFO 2026-01-16T15:31:01 +6ms service=plugin path=opencode-anthropic-auth@0.0.8 loading plugin INFO 2026-01-16T15:31:01 +4ms service=bun pkg=opencode-anthropic-auth version=0.0.8 installing package using Bun's default registry resolution INFO 2026-01-16T15:31:01 +0ms service=bun cmd=["/opt/node/lib/node_modules/opencode-ai/node_modules/opencode-linux-x64/bin/opencode","add","--force","--exact","--cwd","/home/cubbi/.cache/opencode","opencode-anthropic-auth@0.0.8"] cwd=/home/cubbi/.cache/opencode running INFO 2026-01-16T15:31:01 +670ms service=bun code=0 stdout=bun add v1.3.5 (1e86cebd) + opencode-copilot-auth@0.0.12 installed opencode-anthropic-auth@0.0.8 14 packages installed [655.00ms] stderr=Resolving dependencies Resolved, downloaded and extracted [50] Saved lockfile done INFO 2026-01-16T15:31:01 +79ms service=bus type=* subscribing INFO 2026-01-16T15:31:01 +1ms service=bus type=session.updated subscribing INFO 2026-01-16T15:31:01 +0ms service=bus type=message.updated subscribing INFO 2026-01-16T15:31:01 +0ms service=bus type=message.part.updated subscribing INFO 2026-01-16T15:31:01 +0ms service=bus type=session.updated subscribing INFO 2026-01-16T15:31:01 +0ms service=bus type=message.updated subscribing INFO 2026-01-16T15:31:01 +0ms service=bus type=message.part.updated subscribing INFO 2026-01-16T15:31:01 +0ms service=bus type=session.diff subscribing INFO 2026-01-16T15:31:01 +1ms service=format init INFO 2026-01-16T15:31:01 +0ms service=bus type=file.edited subscribing INFO 2026-01-16T15:31:01 +4ms service=lsp serverIds=deno, typescript, vue, eslint, oxlint, biome, gopls, ruby-lsp, pyright, elixir-ls, zls, csharp, fsharp, sourcekit-lsp, rust, clangd, svelte, astro, jdtls, kotlin-ls, yaml-ls, lua-ls, php intelephense, prisma, dart, ocaml-lsp, bash, terraform, texlab, dockerfile, gleam, clojure-lsp, nixd, tinymist, haskell-language-server enabled LSP servers INFO 2026-01-16T15:31:01 +13ms service=bus type=command.executed subscribing INFO 2026-01-16T15:31:02 +85ms service=server method=POST path=/session request INFO 2026-01-16T15:31:02 +0ms service=server status=started method=POST path=/session request INFO 2026-01-16T15:31:02 +9ms service=session id=ses_4389190daffeIsqZJJXPSXyPKU version=1.1.17 projectID=global directory=/app/input title=New session - 2026-01-16T15:31:02.054Z time={"created":1768577462054,"updated":1768577462054} created INFO 2026-01-16T15:31:02 +6ms service=bus type=session.created publishing INFO 2026-01-16T15:31:02 +1ms service=bus 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providerID=litellm found INFO 2026-01-16T15:31:02 +0ms service=provider status=completed duration=128 state INFO 2026-01-16T15:31:02 +23ms service=llm providerID=openrouter modelID=anthropic/claude-haiku-4.5 sessionID=ses_4389190daffeIsqZJJXPSXyPKU small=true agent=title stream INFO 2026-01-16T15:31:02 +1ms service=provider status=started providerID=openrouter getSDK INFO 2026-01-16T15:31:02 +0ms service=provider providerID=openrouter pkg=@ai-sdk/openai-compatible using bundled provider INFO 2026-01-16T15:31:02 +1ms service=provider status=completed duration=0 providerID=openrouter getSDK INFO 2026-01-16T15:31:02 +4ms service=bus type=message.updated publishing INFO 2026-01-16T15:31:02 +5ms service=session.prompt status=started resolveTools INFO 2026-01-16T15:31:02 +13ms service=tool.registry status=started invalid INFO 2026-01-16T15:31:02 +0ms service=tool.registry status=started question INFO 2026-01-16T15:31:02 +0ms service=tool.registry status=started bash INFO 2026-01-16T15:31:02 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service=bus type=message.part.updated publishing INFO 2026-01-16T15:31:08 +234ms service=bus type=message.part.updated publishing INFO 2026-01-16T15:31:08 +278ms service=bus type=message.part.updated publishing INFO 2026-01-16T15:31:08 +253ms service=bus type=message.part.updated publishing INFO 2026-01-16T15:31:08 +316ms service=bus type=message.part.updated publishing INFO 2026-01-16T15:31:09 +257ms service=bus type=message.part.updated publishing INFO 2026-01-16T15:31:09 +324ms service=bus type=message.part.updated publishing INFO 2026-01-16T15:31:09 +255ms service=session.summary title=Money distribution across conductor graph title INFO 2026-01-16T15:31:09 +1ms service=bus type=message.updated publishing INFO 2026-01-16T15:31:09 +64ms service=bus type=message.part.updated publishing INFO 2026-01-16T15:31:09 +20ms service=bus type=session.updated publishing INFO 2026-01-16T15:31:12 +3139ms service=bus type=message.part.updated publishing This is a complex simulation task that requires implementing the specified graph structure and distribution logic. Since this is a self-contained computational task, I will implement the logic in Python to perform the simulation for all three scenarios and then write the results to the requested JSON files. The logic needs to handle: 1. The graph structure (Conductors and their edges). 2. The initial conditions (Scenarios A, B, C). 3. The recursive distribution process until all Conductors have 0 cents. 4. The specific Split Rule (equal division + remainder distribution using the tie-break order). First, I will define the graph structure and distribution logic. ### Graph and Distribution Setup The graph structure is: - C1 -> C2 - C2 -> C3 - C3 -> C4 - C4 -> C2, C5 - C5 -> C6 - C6 -> C7 - C7 -> C5, C8 - C8 -> C9 - C9 -> C10 - C10 -> C6 Each $C_i$ has a beneficiary $B_i$. The participants in the split are always $B_i$ and the outgoing $C_j$'s. The tie-break order for remainder is: $B_i$, then $C_j$'s in alphabetical order ($C_2 < C_5 < \dots$). I will implement the simulation in a Python script. ### Plan: 1. **Define Graph**: A dictionary mapping each conductor to its beneficiaries (always one) and its outgoing conductor edges. 2. **Define Split Function**: A function that takes the current money $N$ and the list of participants, and returns the distributed amounts according to the rules. 3. **Define Simulation Function**: A function that takes the initial money at C4, runs the distribution process recursively, and returns the final beneficiary sums. 4. **Execute Scenarios**: Run the simulation for 5, 50, and 100 cents. 5. **Write Results**: Create the three JSON files. Since I cannot write and execute a file in separate steps and need to output the final tool calls, I will prepare a single Python script and use the `bash` tool to execute it. Then I will use the `write` tool to create the final JSON files. The Python script `money_distribution.py` will contain the entire logic. ```python import json from collections import deque # 1. Define the graph structure GRAPH = { 'C1': ['C2'], 'C2': ['C3'], 'C3': ['C4'], 'C4': ['C2', 'C5'], 'C5': ['C6'], 'C6': ['C7'], 'C7': ['C5', 'C8'], 'C8': ['C9'], 'C9': ['C10'], 'C10': ['C6'], } def get_participants(conductor): """ Returns the list of participants (beneficiary + other conductors) and the tie-break order. """ i = conductor[1:] beneficiary = f'B{i}' outgoing_conductors = GRAPH.get(conductor, []) # Tie-break order: Beneficiary first, then Conductors alphabetically participants = [beneficiary] + sorted(outgoing_conductors) return participants def split_money(money, participants): """ Implements the Split Rule and Tie-break order. Returns a dictionary of {participant: amount}. """ num_participants = len(participants) if num_participants == 0: return {} base_amount = money // num_participants remainder = money % num_participants distribution = {p: base_amount for p in participants} # Distribute remainder based on tie-break order for i in range(remainder): participant_to_receive = participants[i] distribution[participant_to_receive] += 1 return distribution def simulate_distribution(initial_c4_cents): """ Simulates the entire recursive distribution process. """ conductor_money = {f'C{i}': 0 for i in range(1, 11)} beneficiary_money = {f'B{i}': 0 for i in range(1, 11)} # Set initial condition conductor_money['C4'] = initial_c4_cents # Queue for conductors that need to distribute # We start with C4 as it is the only one with money initially active_conductors = deque(['C4']) while active_conductors: current_conductor = active_conductors.popleft() N = conductor_money[current_conductor] # Only distribute if N > 0 if N > 0: # Clear the money from the current conductor before distribution conductor_money[current_conductor] = 0 participants = get_participants(current_conductor) distribution = split_money(N, participants) for participant, amount in distribution.items(): if amount > 0: if participant.startswith('B'): # Money absorbed by Beneficiary beneficiary_money[participant] += amount elif participant.startswith('C'): # Money received by another Conductor conductor_money[participant] += amount # Add to the queue if it now holds money (or had money already) if participant not in active_conductors: active_conductors.append(participant) # Return only the final beneficiary distribution return beneficiary_money # --- Execution --- scenarios = { '5': 5, '50': 50, '100': 100, } results = {} for suffix, initial_cents in scenarios.items(): result = simulate_distribution(initial_cents) # The output format requires B1 to B10 keys only final_output = {f'B{i}': result[f'B{i}'] for i in range(1, 11)} results[suffix] = final_output # Output JSON files will be written by the tool json_outputs = {} for suffix, data in results.items(): json_outputs[f'result_{suffix}.json'] = json.dumps(data, indent=2) # Print JSON outputs in a format easy to copy/paste into write calls for filename, content in json_outputs.items(): print(f"--- {filename} ---\n{content}\n--- End {filename} ---\n") ``` I will now write the Python script to the file system and execute it to get the final results. I will use a temporary file `money_distribution.py` to store and run the script. INFO 2026-01-16T15:31:12 +18ms service=bus type=message.part.updated publishing INFO 2026-01-16T15:31:12 +1ms service=bus type=message.updated publishing INFO 2026-01-16T15:31:12 +20ms service=bus type=message.updated publishing INFO 2026-01-16T15:31:12 +1ms service=bus type=session.status publishing INFO 2026-01-16T15:31:12 +0ms service=session.prompt step=1 sessionID=ses_4389190daffeIsqZJJXPSXyPKU loop INFO 2026-01-16T15:31:12 +16ms service=bus type=message.updated publishing INFO 2026-01-16T15:31:12 +1ms service=bus type=session.updated publishing INFO 2026-01-16T15:31:12 +1ms service=bus type=session.diff publishing INFO 2026-01-16T15:31:12 +3ms service=session.prompt sessionID=ses_4389190daffeIsqZJJXPSXyPKU exiting loop INFO 2026-01-16T15:31:12 +1ms service=session.compaction pruning INFO 2026-01-16T15:31:12 +21ms service=session.prompt sessionID=ses_4389190daffeIsqZJJXPSXyPKU cancel INFO 2026-01-16T15:31:12 +0ms service=bus type=session.status publishing INFO 2026-01-16T15:31:12 +1ms service=bus type=session.idle publishing INFO 2026-01-16T15:31:12 +2ms service=default directory=/app/input disposing instance INFO 2026-01-16T15:31:12 +1ms service=state key=/app/input waiting for state disposal to complete INFO 2026-01-16T15:31:12 +3ms service=state key=/app/input state disposal completed --- Initial command finished (exit code: 0) --- --- no_shell=true, exiting container without starting shell --- Command execution complete. Container has exited. Session has been cleaned up.