Text Generation
Transformers
Safetensors
English
Portuguese
qwen2
mongodb
code
fim
autocomplete
synthetic-data
conversational
Eval Results (legacy)
text-generation-inference
Instructions to use esilva/KapiCoder-Mongo-Small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use esilva/KapiCoder-Mongo-Small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="esilva/KapiCoder-Mongo-Small") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("esilva/KapiCoder-Mongo-Small") model = AutoModelForCausalLM.from_pretrained("esilva/KapiCoder-Mongo-Small", device_map="auto") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=256) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use esilva/KapiCoder-Mongo-Small with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "esilva/KapiCoder-Mongo-Small" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "esilva/KapiCoder-Mongo-Small", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/esilva/KapiCoder-Mongo-Small
- SGLang
How to use esilva/KapiCoder-Mongo-Small with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "esilva/KapiCoder-Mongo-Small" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "esilva/KapiCoder-Mongo-Small", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "esilva/KapiCoder-Mongo-Small" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "esilva/KapiCoder-Mongo-Small", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use esilva/KapiCoder-Mongo-Small with Docker Model Runner:
docker model run hf.co/esilva/KapiCoder-Mongo-Small
Download evaluation/homologation_v1_summary.json from esilva/KapiCoder-Mongo-Small: direct link, hf CLI and curl.
- Browser
- Download file 141 kB
-
https://huggingface.co/esilva/KapiCoder-Mongo-Small/resolve/main/evaluation/homologation_v1_summary.json
- Command line
-
hf download hf://esilva/KapiCoder-Mongo-Small/evaluation/homologation_v1_summary.json
-
curl -L -o homologation_v1_summary.json https://huggingface.co/esilva/KapiCoder-Mongo-Small/resolve/main/evaluation/homologation_v1_summary.json
141 kB
| { | |
| "schema": "kapi-hf-eval-summary/1", | |
| "kind": "homologation_v1", | |
| "label": "Internal evaluation, synthetic out-of-distribution homologation; LLM- and grammar-written, not written by people; not fully independent of the v3 training data. Aggregates only; no item text.", | |
| "model": "esilva/KapiCoder-Mongo-Small", | |
| "format": "homolog-v1-eval-1", | |
| "set_sha256": "aca0aae51533a95d830c1f296d621f9203a7d76475658fb1e2dcc8f389495332", | |
| "n": 6030, | |
| "models": { | |
| "base_1.5b": { | |
| "overall": { | |
| "n": 6030, | |
| "exact_match": 0.1856, | |
| "normalized_match": 0.1874, | |
| "edit_similarity": 0.3732, | |
| "accepted_prefix_tokens": 2.2488, | |
| "syntax_valid": 0.6774, | |
| "mongo_valid": 0.6048, | |
| "exec_valid": 0.4915, | |
| "ceiling_exec_valid": 0.9307, | |
| "exec_over_ceiling": 0.5281, | |
| "exec_given_ref_ok": 0.5276, | |
| "n_ref_ok": 5612, | |
| "nonexistent_fields_rate": 0.0818, | |
| "empty_rate": 0.0141, | |
| "normalized_match_ci95": [ | |
| 0.1778, | |
| 0.1974 | |
| ], | |
| "exec_over_ceiling_ci95": [ | |
| 0.5151, | |
| 0.5409 | |
| ] | |
| }, | |
| "by_context_kind": { | |
| "full": { | |
| "n": 3720, | |
| "exact_match": 0.1392, | |
| "normalized_match": 0.1398, | |
| "edit_similarity": 0.3221, | |
| "accepted_prefix_tokens": 2.1505, | |
| "syntax_valid": 0.6231, | |
| "mongo_valid": 0.5567, | |
| "exec_valid": 0.45, | |
| "ceiling_exec_valid": 0.9237, | |
| "exec_over_ceiling": 0.4872, | |
| "exec_given_ref_ok": 0.4863, | |
| "n_ref_ok": 3436, | |
| "nonexistent_fields_rate": 0.0715, | |
| "empty_rate": 0.0108 | |
| }, | |
| "irrelevant": { | |
| "n": 1155, | |
| "exact_match": 0.2442, | |
| "normalized_match": 0.2485, | |
| "edit_similarity": 0.43, | |
| "accepted_prefix_tokens": 2.3446, | |
| "syntax_valid": 0.7238, | |
| "mongo_valid": 0.6442, | |
| "exec_valid": 0.5342, | |
| "ceiling_exec_valid": 0.9455, | |
| "exec_over_ceiling": 0.565, | |
| "exec_given_ref_ok": 0.565, | |
| "n_ref_ok": 1092, | |
| "nonexistent_fields_rate": 0.0961, | |
| "empty_rate": 0.0208 | |
| }, | |
| "none": { | |
| "n": 1155, | |
| "exact_match": 0.2762, | |
| "normalized_match": 0.2797, | |
| "edit_similarity": 0.4809, | |
| "accepted_prefix_tokens": 2.4693, | |
| "syntax_valid": 0.8061, | |
| "mongo_valid": 0.7203, | |
| "exec_valid": 0.5827, | |
| "ceiling_exec_valid": 0.9385, | |
| "exec_over_ceiling": 0.6209, | |
| "exec_given_ref_ok": 0.6208, | |
| "n_ref_ok": 1084, | |
| "nonexistent_fields_rate": 0.1004, | |
| "empty_rate": 0.0182 | |
| } | |
| }, | |
| "by_cut_kind": { | |
| "key": { | |
| "n": 959, | |
| "exact_match": 0.1846, | |
| "normalized_match": 0.1856, | |
| "edit_similarity": 0.353, | |
| "accepted_prefix_tokens": 1.4943, | |
| "syntax_valid": 0.6486, | |
| "mongo_valid": 0.6173, | |
| "exec_valid": 0.5036, | |
| "ceiling_exec_valid": 0.9166, | |
| "exec_over_ceiling": 0.5494, | |
| "exec_given_ref_ok": 0.5495, | |
| "n_ref_ok": 879, | |
| "nonexistent_fields_rate": 0.0563, | |
| "empty_rate": 0.0 | |
| }, | |
| "member": { | |
| "n": 600, | |
| "exact_match": 0.4583, | |
| "normalized_match": 0.4583, | |
| "edit_similarity": 0.5483, | |
| "accepted_prefix_tokens": 1.2783, | |
| "syntax_valid": 0.85, | |
| "mongo_valid": 0.6467, | |
| "exec_valid": 0.575, | |
| "ceiling_exec_valid": 0.89, | |
| "exec_over_ceiling": 0.6461, | |
| "exec_given_ref_ok": 0.6461, | |
| "n_ref_ok": 534, | |
| "nonexistent_fields_rate": 0.0767, | |
| "empty_rate": 0.0 | |
| }, | |
| "multiline": { | |
| "n": 480, | |
| "exact_match": 0.0187, | |
| "normalized_match": 0.025, | |
| "edit_similarity": 0.3463, | |
| "accepted_prefix_tokens": 3.7896, | |
| "syntax_valid": 0.6167, | |
| "mongo_valid": 0.5542, | |
| "exec_valid": 0.4188, | |
| "ceiling_exec_valid": 0.9583, | |
| "exec_over_ceiling": 0.437, | |
| "exec_given_ref_ok": 0.437, | |
| "n_ref_ok": 460, | |
| "nonexistent_fields_rate": 0.1437, | |
| "empty_rate": 0.0 | |
| }, | |
| "operator": { | |
| "n": 841, | |
| "exact_match": 0.2331, | |
| "normalized_match": 0.2342, | |
| "edit_similarity": 0.3963, | |
| "accepted_prefix_tokens": 2.4388, | |
| "syntax_valid": 0.6338, | |
| "mongo_valid": 0.5945, | |
| "exec_valid": 0.5125, | |
| "ceiling_exec_valid": 0.9489, | |
| "exec_over_ceiling": 0.5401, | |
| "exec_given_ref_ok": 0.5401, | |
| "n_ref_ok": 798, | |
| "nonexistent_fields_rate": 0.0559, | |
| "empty_rate": 0.0 | |
| }, | |
| "partial": { | |
| "n": 600, | |
| "exact_match": 0.3333, | |
| "normalized_match": 0.3333, | |
| "edit_similarity": 0.4636, | |
| "accepted_prefix_tokens": 2.0317, | |
| "syntax_valid": 0.72, | |
| "mongo_valid": 0.6367, | |
| "exec_valid": 0.4717, | |
| "ceiling_exec_valid": 0.91, | |
| "exec_over_ceiling": 0.5184, | |
| "exec_given_ref_ok": 0.5183, | |
| "n_ref_ok": 546, | |
| "nonexistent_fields_rate": 0.1217, | |
| "empty_rate": 0.01 | |
| }, | |
| "rest": { | |
| "n": 720, | |
| "exact_match": 0.0778, | |
| "normalized_match": 0.0778, | |
| "edit_similarity": 0.2764, | |
| "accepted_prefix_tokens": 2.2569, | |
| "syntax_valid": 0.7056, | |
| "mongo_valid": 0.6028, | |
| "exec_valid": 0.475, | |
| "ceiling_exec_valid": 0.9319, | |
| "exec_over_ceiling": 0.5097, | |
| "exec_given_ref_ok": 0.5097, | |
| "n_ref_ok": 671, | |
| "nonexistent_fields_rate": 0.0528, | |
| "empty_rate": 0.1069 | |
| }, | |
| "stage": { | |
| "n": 720, | |
| "exact_match": 0.0222, | |
| "normalized_match": 0.0306, | |
| "edit_similarity": 0.3191, | |
| "accepted_prefix_tokens": 3.5264, | |
| "syntax_valid": 0.6056, | |
| "mongo_valid": 0.5903, | |
| "exec_valid": 0.4139, | |
| "ceiling_exec_valid": 0.9486, | |
| "exec_over_ceiling": 0.4363, | |
| "exec_given_ref_ok": 0.4363, | |
| "n_ref_ok": 683, | |
| "nonexistent_fields_rate": 0.1361, | |
| "empty_rate": 0.0028 | |
| }, | |
| "stmt_start": { | |
| "n": 269, | |
| "exact_match": 0.1227, | |
| "normalized_match": 0.1227, | |
| "edit_similarity": 0.4425, | |
| "accepted_prefix_tokens": 2.6729, | |
| "syntax_valid": 0.8439, | |
| "mongo_valid": 0.6208, | |
| "exec_valid": 0.6283, | |
| "ceiling_exec_valid": 0.9777, | |
| "exec_over_ceiling": 0.6426, | |
| "exec_given_ref_ok": 0.6312, | |
| "n_ref_ok": 263, | |
| "nonexistent_fields_rate": 0.1004, | |
| "empty_rate": 0.0 | |
| }, | |
| "value": { | |
| "n": 841, | |
| "exact_match": 0.1867, | |
| "normalized_match": 0.1867, | |
| "edit_similarity": 0.306, | |
| "accepted_prefix_tokens": 1.6504, | |
| "syntax_valid": 0.6195, | |
| "mongo_valid": 0.5862, | |
| "exec_valid": 0.4899, | |
| "ceiling_exec_valid": 0.9251, | |
| "exec_over_ceiling": 0.5296, | |
| "exec_given_ref_ok": 0.5296, | |
| "n_ref_ok": 778, | |
| "nonexistent_fields_rate": 0.0488, | |
| "empty_rate": 0.0 | |
| } | |
| }, | |
| "by_domain": { | |
| "adtech": { | |
| "n": 3057, | |
| "exact_match": 0.1835, | |
| "normalized_match": 0.1861, | |
| "edit_similarity": 0.3734, | |
| "accepted_prefix_tokens": 2.2512, | |
| "syntax_valid": 0.6817, | |
| "mongo_valid": 0.6042, | |
| "exec_valid": 0.4953, | |
| "ceiling_exec_valid": 0.9303, | |
| "exec_over_ceiling": 0.5324, | |
| "exec_given_ref_ok": 0.5313, | |
| "n_ref_ok": 2844, | |
| "nonexistent_fields_rate": 0.0818, | |
| "empty_rate": 0.0144 | |
| }, | |
| "telecom": { | |
| "n": 2973, | |
| "exact_match": 0.1877, | |
| "normalized_match": 0.1887, | |
| "edit_similarity": 0.373, | |
| "accepted_prefix_tokens": 2.2462, | |
| "syntax_valid": 0.6731, | |
| "mongo_valid": 0.6054, | |
| "exec_valid": 0.4877, | |
| "ceiling_exec_valid": 0.931, | |
| "exec_over_ceiling": 0.5238, | |
| "exec_given_ref_ok": 0.5238, | |
| "n_ref_ok": 2768, | |
| "nonexistent_fields_rate": 0.0817, | |
| "empty_rate": 0.0138 | |
| } | |
| }, | |
| "by_author": { | |
| "grammar": { | |
| "n": 3220, | |
| "exact_match": 0.1261, | |
| "normalized_match": 0.1261, | |
| "edit_similarity": 0.2908, | |
| "accepted_prefix_tokens": 1.8161, | |
| "syntax_valid": 0.5894, | |
| "mongo_valid": 0.5509, | |
| "exec_valid": 0.3829, | |
| "ceiling_exec_valid": 0.8702, | |
| "exec_over_ceiling": 0.44, | |
| "exec_given_ref_ok": 0.439, | |
| "n_ref_ok": 2802, | |
| "nonexistent_fields_rate": 0.0761, | |
| "empty_rate": 0.0081 | |
| }, | |
| "llm": { | |
| "n": 2810, | |
| "exact_match": 0.2537, | |
| "normalized_match": 0.2577, | |
| "edit_similarity": 0.4676, | |
| "accepted_prefix_tokens": 2.7445, | |
| "syntax_valid": 0.7783, | |
| "mongo_valid": 0.6665, | |
| "exec_valid": 0.616, | |
| "ceiling_exec_valid": 1.0, | |
| "exec_over_ceiling": 0.616, | |
| "exec_given_ref_ok": 0.616, | |
| "n_ref_ok": 2810, | |
| "nonexistent_fields_rate": 0.0883, | |
| "empty_rate": 0.021 | |
| } | |
| }, | |
| "by_author_context": { | |
| "grammar/full": { | |
| "n": 2121, | |
| "exact_match": 0.099, | |
| "normalized_match": 0.099, | |
| "edit_similarity": 0.2651, | |
| "accepted_prefix_tokens": 1.9043, | |
| "syntax_valid": 0.5413, | |
| "mongo_valid": 0.5101, | |
| "exec_valid": 0.3446, | |
| "ceiling_exec_valid": 0.8661, | |
| "exec_over_ceiling": 0.3979, | |
| "exec_given_ref_ok": 0.3963, | |
| "n_ref_ok": 1837, | |
| "nonexistent_fields_rate": 0.0707, | |
| "empty_rate": 0.0057 | |
| }, | |
| "grammar/irrelevant": { | |
| "n": 553, | |
| "exact_match": 0.1374, | |
| "normalized_match": 0.1374, | |
| "edit_similarity": 0.2987, | |
| "accepted_prefix_tokens": 1.5443, | |
| "syntax_valid": 0.6239, | |
| "mongo_valid": 0.5714, | |
| "exec_valid": 0.4014, | |
| "ceiling_exec_valid": 0.8861, | |
| "exec_over_ceiling": 0.453, | |
| "exec_given_ref_ok": 0.4531, | |
| "n_ref_ok": 490, | |
| "nonexistent_fields_rate": 0.0922, | |
| "empty_rate": 0.0163 | |
| }, | |
| "grammar/none": { | |
| "n": 546, | |
| "exact_match": 0.2198, | |
| "normalized_match": 0.2198, | |
| "edit_similarity": 0.3827, | |
| "accepted_prefix_tokens": 1.7491, | |
| "syntax_valid": 0.7418, | |
| "mongo_valid": 0.6886, | |
| "exec_valid": 0.5128, | |
| "ceiling_exec_valid": 0.87, | |
| "exec_over_ceiling": 0.5894, | |
| "exec_given_ref_ok": 0.5895, | |
| "n_ref_ok": 475, | |
| "nonexistent_fields_rate": 0.0806, | |
| "empty_rate": 0.0092 | |
| }, | |
| "llm/full": { | |
| "n": 1599, | |
| "exact_match": 0.1926, | |
| "normalized_match": 0.1939, | |
| "edit_similarity": 0.3977, | |
| "accepted_prefix_tokens": 2.4772, | |
| "syntax_valid": 0.7317, | |
| "mongo_valid": 0.6185, | |
| "exec_valid": 0.5897, | |
| "ceiling_exec_valid": 1.0, | |
| "exec_over_ceiling": 0.5897, | |
| "exec_given_ref_ok": 0.5897, | |
| "n_ref_ok": 1599, | |
| "nonexistent_fields_rate": 0.0725, | |
| "empty_rate": 0.0175 | |
| }, | |
| "llm/irrelevant": { | |
| "n": 602, | |
| "exact_match": 0.3422, | |
| "normalized_match": 0.3505, | |
| "edit_similarity": 0.5507, | |
| "accepted_prefix_tokens": 3.0797, | |
| "syntax_valid": 0.8156, | |
| "mongo_valid": 0.711, | |
| "exec_valid": 0.6561, | |
| "ceiling_exec_valid": 1.0, | |
| "exec_over_ceiling": 0.6561, | |
| "exec_given_ref_ok": 0.6561, | |
| "n_ref_ok": 602, | |
| "nonexistent_fields_rate": 0.0997, | |
| "empty_rate": 0.0249 | |
| }, | |
| "llm/none": { | |
| "n": 609, | |
| "exact_match": 0.3268, | |
| "normalized_match": 0.3333, | |
| "edit_similarity": 0.5689, | |
| "accepted_prefix_tokens": 3.1149, | |
| "syntax_valid": 0.8637, | |
| "mongo_valid": 0.7488, | |
| "exec_valid": 0.6453, | |
| "ceiling_exec_valid": 1.0, | |
| "exec_over_ceiling": 0.6453, | |
| "exec_given_ref_ok": 0.6453, | |
| "n_ref_ok": 609, | |
| "nonexistent_fields_rate": 0.1182, | |
| "empty_rate": 0.0263 | |
| } | |
| } | |
| }, | |
| "t1_distill": { | |
| "overall": { | |
| "n": 6030, | |
| "exact_match": 0.3687, | |
| "normalized_match": 0.3697, | |
| "edit_similarity": 0.6188, | |
| "accepted_prefix_tokens": 2.7891, | |
| "syntax_valid": 0.9902, | |
| "mongo_valid": 0.962, | |
| "exec_valid": 0.7859, | |
| "ceiling_exec_valid": 0.9307, | |
| "exec_over_ceiling": 0.8444, | |
| "exec_given_ref_ok": 0.8437, | |
| "n_ref_ok": 5612, | |
| "nonexistent_fields_rate": 0.1007, | |
| "empty_rate": 0.0017, | |
| "normalized_match_ci95": [ | |
| 0.3576, | |
| 0.382 | |
| ], | |
| "exec_over_ceiling_ci95": [ | |
| 0.8342, | |
| 0.854 | |
| ] | |
| }, | |
| "by_context_kind": { | |
| "full": { | |
| "n": 3720, | |
| "exact_match": 0.3151, | |
| "normalized_match": 0.3153, | |
| "edit_similarity": 0.5746, | |
| "accepted_prefix_tokens": 2.7946, | |
| "syntax_valid": 0.9892, | |
| "mongo_valid": 0.9613, | |
| "exec_valid": 0.7879, | |
| "ceiling_exec_valid": 0.9237, | |
| "exec_over_ceiling": 0.853, | |
| "exec_given_ref_ok": 0.8519, | |
| "n_ref_ok": 3436, | |
| "nonexistent_fields_rate": 0.0919, | |
| "empty_rate": 0.0022 | |
| }, | |
| "irrelevant": { | |
| "n": 1155, | |
| "exact_match": 0.4511, | |
| "normalized_match": 0.4545, | |
| "edit_similarity": 0.689, | |
| "accepted_prefix_tokens": 2.7307, | |
| "syntax_valid": 0.9913, | |
| "mongo_valid": 0.9645, | |
| "exec_valid": 0.7931, | |
| "ceiling_exec_valid": 0.9455, | |
| "exec_over_ceiling": 0.8388, | |
| "exec_given_ref_ok": 0.8388, | |
| "n_ref_ok": 1092, | |
| "nonexistent_fields_rate": 0.1134, | |
| "empty_rate": 0.0 | |
| }, | |
| "none": { | |
| "n": 1155, | |
| "exact_match": 0.4589, | |
| "normalized_match": 0.4597, | |
| "edit_similarity": 0.6908, | |
| "accepted_prefix_tokens": 2.8294, | |
| "syntax_valid": 0.9922, | |
| "mongo_valid": 0.9619, | |
| "exec_valid": 0.7723, | |
| "ceiling_exec_valid": 0.9385, | |
| "exec_over_ceiling": 0.8229, | |
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| "ci_high": 0.2732919254658385, | |
| "superior": true, | |
| "margin": 0.02, | |
| "noninferior": true, | |
| "p_holm": 5.2892335620077676e-207 | |
| }, | |
| { | |
| "metric": "syntax_valid", | |
| "kind": "binary", | |
| "n": 3220, | |
| "lower_is_better": false, | |
| "rate_a": 0.5894409937888199, | |
| "rate_b": 0.9987577639751553, | |
| "delta": 0.4093167701863354, | |
| "better": 1320, | |
| "worse": 2, | |
| "equal": 1898, | |
| "p": 0.0, | |
| "ci_low": 0.3919254658385093, | |
| "ci_high": 0.4267080745341615, | |
| "superior": true, | |
| "p_holm": 0.0 | |
| } | |
| ] | |
| }, | |
| "llm": { | |
| "n": 2810, | |
| "metrics": [ | |
| { | |
| "metric": "accepted_prefix_tokens", | |
| "kind": "continuous", | |
| "n": 2810, | |
| "lower_is_better": false, | |
| "mean_a": 2.7444839857651244, | |
| "mean_b": 4.8612099644128115, | |
| "delta": 2.1167259786476866, | |
| "ci_low": 1.903202846975089, | |
| "ci_high": 2.3387900355871887, | |
| "superior": true | |
| }, | |
| { | |
| "metric": "edit_similarity", | |
| "kind": "continuous", | |
| "n": 2810, | |
| "lower_is_better": false, | |
| "mean_a": 0.46758516014234874, | |
| "mean_b": 0.7699590391459075, | |
| "delta": 0.3023738790035587, | |
| "ci_low": 0.28847639679715303, | |
| "ci_high": 0.31637307918149465, | |
| "superior": true | |
| }, | |
| { | |
| "metric": "exact_match", | |
| "kind": "binary", | |
| "n": 2810, | |
| "lower_is_better": false, | |
| "rate_a": 0.2537366548042705, | |
| "rate_b": 0.5295373665480427, | |
| "delta": 0.27580071174377224, | |
| "better": 822, | |
| "worse": 47, | |
| "equal": 1941, | |
| "p": 7.990635342893872e-184, | |
| "ci_low": 0.25836298932384344, | |
| "ci_high": 0.29323843416370104, | |
| "superior": true, | |
| "p_holm": 4.794381205736324e-183 | |
| }, | |
| { | |
| "metric": "exec_valid", | |
| "kind": "binary", | |
| "n": 2810, | |
| "lower_is_better": false, | |
| "rate_a": 0.6160142348754448, | |
| "rate_b": 0.8658362989323843, | |
| "delta": 0.2498220640569395, | |
| "better": 830, | |
| "worse": 128, | |
| "equal": 1852, | |
| "p": 1.4303288564350014e-126, | |
| "ci_low": 0.2302491103202847, | |
| "ci_high": 0.2701067615658363, | |
| "superior": true, | |
| "margin": 0.02, | |
| "noninferior": true, | |
| "p_holm": 5.7213154257400056e-126 | |
| }, | |
| { | |
| "metric": "mongo_valid", | |
| "kind": "binary", | |
| "n": 2810, | |
| "lower_is_better": false, | |
| "rate_a": 0.6665480427046263, | |
| "rate_b": 0.9416370106761566, | |
| "delta": 0.27508896797153026, | |
| "better": 783, | |
| "worse": 10, | |
| "equal": 2017, | |
| "p": 9.954887411232013e-217, | |
| "ci_low": 0.2580071174377224, | |
| "ci_high": 0.29145907473309607, | |
| "superior": true, | |
| "p_holm": 9.954887411232013e-216 | |
| }, | |
| { | |
| "metric": "no_nonexistent_field", | |
| "kind": "binary", | |
| "n": 2810, | |
| "lower_is_better": false, | |
| "rate_a": 0.9117437722419929, | |
| "rate_b": 0.891459074733096, | |
| "delta": -0.020284697508896797, | |
| "better": 135, | |
| "worse": 192, | |
| "equal": 2483, | |
| "p": 0.0019114402812567247, | |
| "ci_low": -0.03309608540925267, | |
| "ci_high": -0.007829181494661922, | |
| "superior": false, | |
| "p_holm": 0.0038228805625134493 | |
| }, | |
| { | |
| "metric": "normalized_match", | |
| "kind": "binary", | |
| "n": 2810, | |
| "lower_is_better": false, | |
| "rate_a": 0.2576512455516014, | |
| "rate_b": 0.5341637010676157, | |
| "delta": 0.2765124555160142, | |
| "better": 823, | |
| "worse": 46, | |
| "equal": 1941, | |
| "p": 4.5571131842281796e-185, | |
| "ci_low": 0.2587188612099644, | |
| "ci_high": 0.29359430604982206, | |
| "superior": true, | |
| "margin": 0.02, | |
| "noninferior": true, | |
| "p_holm": 3.1899792289597256e-184 | |
| }, | |
| { | |
| "metric": "syntax_valid", | |
| "kind": "binary", | |
| "n": 2810, | |
| "lower_is_better": false, | |
| "rate_a": 0.7782918149466193, | |
| "rate_b": 0.995373665480427, | |
| "delta": 0.21708185053380782, | |
| "better": 619, | |
| "worse": 9, | |
| "equal": 2182, | |
| "p": 7.201076790162522e-170, | |
| "ci_low": 0.201423487544484, | |
| "ci_high": 0.23274021352313168, | |
| "superior": true, | |
| "p_holm": 3.600538395081261e-169 | |
| } | |
| ] | |
| } | |
| }, | |
| "groups_skipped": {} | |
| } | |
| } | |
| }, | |
| "status_distribution": { | |
| "base_1.5b": { | |
| "ok": 3404, | |
| "syntax": 1442, | |
| "error": 1027, | |
| "no_exec": 26, | |
| "empty": 85, | |
| "static": 45, | |
| "timeout": 1 | |
| }, | |
| "t1_distill": { | |
| "ok": 5328, | |
| "error": 520, | |
| "static": 98, | |
| "syntax": 49, | |
| "no_exec": 25, | |
| "empty": 10 | |
| }, | |
| "t1_v3": { | |
| "ok": 5478, | |
| "error": 453, | |
| "static": 82, | |
| "syntax": 16, | |
| "timeout": 1 | |
| }, | |
| "_reference": { | |
| "ok": 5612, | |
| "error": 418 | |
| } | |
| }, | |
| "readonly_proof": { | |
| "base_1.5b": { | |
| "dbHash_before_equals_after": true, | |
| "dbs_checked": 28, | |
| "proxy_write_commands_forwarded": {}, | |
| "maxTimeMS_injected": 3000 | |
| }, | |
| "t1_distill": { | |
| "dbHash_before_equals_after": true, | |
| "dbs_checked": 28, | |
| "proxy_write_commands_forwarded": {}, | |
| "maxTimeMS_injected": 3000 | |
| }, | |
| "t1_v3": { | |
| "dbHash_before_equals_after": true, | |
| "dbs_checked": 28, | |
| "proxy_write_commands_forwarded": {}, | |
| "maxTimeMS_injected": 3000 | |
| }, | |
| "_reference": { | |
| "dbHash_before_equals_after": true, | |
| "dbs_checked": 28, | |
| "proxy_write_commands_forwarded": {}, | |
| "maxTimeMS_injected": 3000 | |
| } | |
| }, | |
| "definitions": { | |
| "normalized_match": "pred == middle com espacos normalizados", | |
| "exec_valid": "prefix+pred+suffix executa (mongosh via proxy RO, status ok, comando de leitura enviado) sem campo/colecao inexistente no plano capturado e pred nao vazia", | |
| "ceiling_exec_valid": "mesma validacao sobre prefix+middle+suffix", | |
| "exec_over_ceiling": "exec_valid / ceiling_exec_valid (razao de medias)", | |
| "nonexistent_fields_rate": "itens cujo plano capturado cita campo/colecao fora do schema, sobre todos os itens", | |
| "json_dialect": "dialect json executa como db.getCollection(c).aggregate(EJSON.parse(texto))" | |
| } | |
| } | |