831 articles — Page 12 of 70
How to fix httpx errors — RuntimeError event loop is closed, ReadTimeout exception, ConnectionResetError, async client not closing properly, HTTP/2 not enabled, SSL verify failed, and proxy not working.
How to fix Hypothesis errors — Unsatisfied assumption, Flaky test detected, HealthCheck data_too_large, strategy composition failing, example database stale, settings profile not found, and stateful testing errors.
How to fix Jupyter errors — kernel fails to start or dies, ModuleNotFoundError despite pip install, matplotlib plots not showing, ipywidgets not rendering in JupyterLab, port already in use, and jupyter command not found.
How to fix LangGraph errors — state not updating between nodes, checkpointer thread_id required, StateGraph compile error, conditional edges not routing, streaming events missing, recursion limit exceeded, and interrupt handling.
How to fix LightGBM errors — ImportError libomp libgomp not found, do not support special JSON characters in feature name, categorical feature index out of range, num_leaves vs max_depth overfitting, early stopping callback changes, and GPU build errors.
How to fix LlamaIndex errors — ImportError llama_index.core module not found, ServiceContext deprecated use Settings instead, vector store index not persisting, query engine returns irrelevant results, and LlamaIndex 0.10 migration.
How to fix Locust errors — no locustfile found, User class not detected, worker connection refused, distributed mode throughput lower than single-node, StopUser exception, FastHttpUser vs HttpUser, and headless CSV reports.
How to fix Loguru errors — logs not appearing after logger.add, file rotation not working, enqueue required for multiprocessing, structured logging JSON, intercepting stdlib logging, and handler removal.
How to fix Matplotlib errors — plot not displaying, blank figure, RuntimeError main thread not in main loop, tight_layout UserWarning, overlapping subplots, savefig saving blank image, backend errors, and figure/axes confusion.
How to fix MLflow errors — no tracking server, artifact path not accessible, model version not found, experiment not found, MLFLOW_TRACKING_URI not set, autolog not recording metrics, and MLflow UI showing no runs.
How to fix NumPy errors — ValueError operands could not be broadcast together, setting an array element with a sequence, integer overflow, axis confusion, view vs copy bugs, NaN handling, and NumPy 1.24+ removed type aliases.
How to fix ONNX errors — torch.onnx.export unsupported operator, ONNX Runtime CUDA provider not found, InvalidArgument input shape mismatch, dynamic axes not working, IR version mismatch, and opset version conflicts.