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fb7b9c5691 fix: Add python3 shebang to bin/glitch_patterns.py
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Part of #681: Add python3 shebangs to Python scripts missing them.
2026-04-15 03:33:37 +00:00
2 changed files with 6 additions and 6 deletions

View File

@@ -1,3 +1,4 @@
#!/usr/bin/env python3
""" """
Glitch pattern definitions for 3D world anomaly detection. Glitch pattern definitions for 3D world anomaly detection.

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@@ -15,7 +15,6 @@
MODEL ?= timmy:v0.1-q4 MODEL ?= timmy:v0.1-q4
BASELINE ?= hermes3:latest BASELINE ?= hermes3:latest
OLLAMA_URL ?= http://localhost:11434 OLLAMA_URL ?= http://localhost:11434
PYTHON ?= python3
OUTPUT ?= output OUTPUT ?= output
# ── Training ────────────────────────────────────────────────────────── # ── Training ──────────────────────────────────────────────────────────
@@ -24,7 +23,7 @@ train-cloud: ## QLoRA fine-tune on cloud GPU (Axolotl)
axolotl train axolotl.yaml axolotl train axolotl.yaml
train-local: ## LoRA fine-tune on Apple Silicon (MLX) train-local: ## LoRA fine-tune on Apple Silicon (MLX)
$(PYTHON) -m mlx_lm.lora --config mlx-lora.yaml python -m mlx_lm.lora --config mlx-lora.yaml
# ── Evaluation ──────────────────────────────────────────────────────── # ── Evaluation ────────────────────────────────────────────────────────
@@ -46,7 +45,7 @@ vibes: ## Run vibes check — hand-picked prompts, human review
@echo "Date: $$(date '+%Y-%m-%d %H:%M')" > $(OUTPUT)/vibes-$(MODEL).md @echo "Date: $$(date '+%Y-%m-%d %H:%M')" > $(OUTPUT)/vibes-$(MODEL).md
@echo "Model: $(MODEL)" >> $(OUTPUT)/vibes-$(MODEL).md @echo "Model: $(MODEL)" >> $(OUTPUT)/vibes-$(MODEL).md
@echo "" >> $(OUTPUT)/vibes-$(MODEL).md @echo "" >> $(OUTPUT)/vibes-$(MODEL).md
@$(PYTHON) -c "\ @python -c "\
import yaml, subprocess, sys; \ import yaml, subprocess, sys; \
prompts = yaml.safe_load(open('data/prompts_vibes.yaml'))['prompts']; \ prompts = yaml.safe_load(open('data/prompts_vibes.yaml'))['prompts']; \
f = open('$(OUTPUT)/vibes-$(MODEL).md', 'a'); \ f = open('$(OUTPUT)/vibes-$(MODEL).md', 'a'); \
@@ -70,19 +69,19 @@ vibes: ## Run vibes check — hand-picked prompts, human review
# ── Data Pipeline ───────────────────────────────────────────────────── # ── Data Pipeline ─────────────────────────────────────────────────────
ingest: ## Pull heartbeat trajectories into training data ingest: ## Pull heartbeat trajectories into training data
$(PYTHON) ingest_trajectories.py \ python ingest_trajectories.py \
--trajectories ~/.nexus/trajectories/ \ --trajectories ~/.nexus/trajectories/ \
--curated data/curated_dataset.jsonl \ --curated data/curated_dataset.jsonl \
--output data/merged_training_data.jsonl --output data/merged_training_data.jsonl
@echo "Merged dataset ready. Convert for MLX with: make convert" @echo "Merged dataset ready. Convert for MLX with: make convert"
curated: ## Regenerate curated exemplar dataset curated: ## Regenerate curated exemplar dataset
$(PYTHON) build_curated.py python build_curated.py
@echo "Curated dataset regenerated." @echo "Curated dataset regenerated."
convert: ## Convert merged dataset to MLX format (train/valid split) convert: ## Convert merged dataset to MLX format (train/valid split)
@mkdir -p data/mlx_curated @mkdir -p data/mlx_curated
$(PYTHON) -c "\ python -c "\
import json; \ import json; \
lines = open('data/merged_training_data.jsonl').readlines(); \ lines = open('data/merged_training_data.jsonl').readlines(); \
sessions = [json.loads(l) for l in lines]; \ sessions = [json.loads(l) for l in lines]; \