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demo.cast
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36 lines (36 loc) · 6.89 KB
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{"version":3,"term":{"cols":166,"rows":43,"type":"xterm-256color","theme":{"fg":"#28fe14","bg":"#000000","palette":"#000000:#990000:#00a600:#999900:#0000b3:#b300b3:#00a6b3:#bfbfbf:#666666:#e60000:#00d900:#e6e600:#0000ff:#e600e6:#00e6e6:#e6e6e6"}},"timestamp":1769003361,"command":"jq-synth --task all","env":{"SHELL":"/bin/zsh"}}
[0.178, "o", "\r\n============================================================\r\n[1/5] Solving: nested-field\r\nDescription: Extract the user's name from a nested object structure\r\nExamples: 3\r\nMax iterations: 10\r\n============================================================\r\n\r \rIteration 1/10 🤖 Generating filter..."]
[3.073, "o", "\rIteration 1/10 ⚙️ Testing: \u001b[2m.user.name\u001b[0m"]
[0.019, "o", "\r \rIteration 1/10 \u001b[92m✓ Score: 1.000 - Perfect match!\u001b[0m\r\n"]
[0.000, "o", "\r\n\u001b[92m✓\u001b[0m Task: \u001b[1mnested-field\u001b[0m\r\n Filter: \u001b[96m.user.name\u001b[0m\r\n"]
[0.000, "o", " Score: \u001b[92m1.000\u001b[0m\r\n Iterations: 1\r\n Time: 3.09s\r\n"]
[0.000, "o", "\r\n============================================================"]
[0.000, "o", "\r\n"]
[0.000, "o", "[2/5] Solving: filter-active\r\nDescription: Filter an array to keep only objects where the 'active' field is true\r\n"]
[0.000, "o", "Examples: 3\r\nMax iterations: 10\r\n============================================================\r\n"]
[0.000, "o", "\r \rIteration 1/10 🤖 Generating filter..."]
[2.343, "o", "\rIteration 1/10 ⚙️ Testing: \u001b[2mmap(select(.active == true))\u001b[0m"]
[0.022, "o", "\r \rIteration 1/10 \u001b[92m✓ Score: 1.000 - Perfect match!\u001b[0m\r\n"]
[0.000, "o", "\r\n\u001b[92m✓\u001b[0m Task: \u001b[1mfilter-active\u001b[0m\r\n Filter: \u001b[96mmap(select(.active == true))\u001b[0m\r\n Score: \u001b[92m1.000\u001b[0m\r\n Iterations: 1\r\n Time: 2.36s\r\n\r\n============================================================\r\n[3/5] Solving: extract-emails\r\nDescription: Extract all email addresses from an array of user objects, skipping users without an email or with null email\r\nExamples: 3\r\nMax iterations: 10\r\n============================================================\r\n\r \rIteration 1/10 🤖 Generating filter..."]
[2.126, "o", "\rIteration 1/10 ⚙️ Testing: \u001b[2m.[].email | select(. != null)\u001b[0m"]
[0.019, "o", "\r \rIteration 1/10 \u001b[91m📊 Score: 0.667\u001b[0m\r\n\r \rIteration 2/10 🤖 Generating filter..."]
[2.634, "o", "\rIteration 2/10 ⚙️ Testing: \u001b[2m[.[] | select(.email != null and .email != false) ...\u001b[0m"]
[0.019, "o", "\r \rIteration 2/10 \u001b[92m✓ Score: 1.000 - Perfect match!\u001b[0m\r\n"]
[0.000, "o", "\r\n\u001b[92m✓\u001b[0m Task: \u001b[1mextract-emails\u001b[0m\r\n"]
[0.001, "o", " Filter: \u001b[96m[.[] | select(.email != null and .email != false) | .email]\u001b[0m\r\n"]
[0.000, "o", " Score: \u001b[92m1.000\u001b[0m\r\n Iterations: 2\r\n Time: 4.80s\r\n\r\n============================================================"]
[0.000, "o", "\r\n"]
[0.000, "o", "[4/5] Solving: sum-numbers\r\nDescription: Sum only the numeric values from a mixed-type array, ignoring strings, booleans, and nulls\r\nExamples: 4\r\nMax iterations: 10\r\n============================================================\r\n"]
[0.000, "o", "\r \rIteration 1/10 🤖 Generating filter..."]
[3.052, "o", "\rIteration 1/10 ⚙️ Testing: \u001b[2mmap(select(type == \"number\")) | if length > 0 then...\u001b[0m"]
[0.029, "o", "\r \rIteration 1/10 \u001b[92m✓ Score: 1.000 - Perfect match!\u001b[0m\r\n"]
[0.000, "o", "\r\n\u001b[92m✓\u001b[0m Task: \u001b[1msum-numbers\u001b[0m\r\n Filter: \u001b[96mmap(select(type == \"number\")) | if length > 0 then add else null end\u001b[0m\r\n Score: \u001b[92m1.000\u001b[0m\r\n Iterations: 1\r\n Time: 3.08s\r\n"]
[0.000, "o", "\r\n============================================================\r\n[5/5] Solving: group-count\r\nDescription: Group objects by their 'category' field and return an array of objects with the category and count of items in each group\r\nExamples: 3\r\nMax iterations: 10\r\n"]
[0.000, "o", "============================================================\r\n"]
[0.000, "o", "\r \rIteration 1/10 🤖 Generating filter..."]
[1.650, "o", "\rIteration 1/10 ⚙️ Testing: \u001b[2mgroup_by(.category) | map({category: .[0].category...\u001b[0m"]
[0.023, "o", "\r \rIteration 1/10 \u001b[92m✓ Score: 1.000 - Perfect match!\u001b[0m\r\n"]
[0.000, "o", "\r\n\u001b[92m✓\u001b[0m Task: \u001b[1mgroup-count\u001b[0m\r\n Filter: \u001b[96mgroup_by(.category) | map({category: .[0].category, count: length})\u001b[0m\r\n Score: \u001b[92m1.000\u001b[0m\r\n Iterations: 1\r\n Time: 1.67s\r\n\r\n============================================================\r\n\u001b[1mSummary\u001b[0m\r\n============================================================\r\nTask ID Status Score Iters \r\n------------------------------------------------------------\r\nnested-field \u001b[92mPASS\u001b[0m \u001b[92m1.000\u001b[0m 1 \r\nfilter-active \u001b[92mPASS\u001b[0m \u001b[92m1.000\u001b[0m 1 \r\nextract-emails \u001b[92mPASS\u001b[0m \u001b[92m1.000\u001b[0m 2 \r\nsum-numbers \u001b[92mPASS\u001b[0m \u001b[92m1.000\u001b[0m 1 \r\n"]
[0.000, "o", "group-count \u001b[92mPASS\u001b[0m \u001b[92m1.000\u001b[0m 1 \r\n------------------------------------------------------------\r\nTotal: \u001b[92m5/5 passed (100%)\u001b[0m\r\n\r\n============================================================\r\n\u001b[1mOVERALL SUMMARY\u001b[0m\r\n============================================================\r\nTasks: \u001b[92m5/5 passed (100.0%)\u001b[0m\r\nTotal time: \u001b[96m15.01s\u001b[0m\r\n"]
[0.000, "o", "Average time per task: \u001b[96m3.00s\u001b[0m\r\n============================================================\r\n"]
[0.058, "x", "0"]