Zero‑Boilerplate JSON in Ktor with kotlinx.serialization
Learn how Ktor’s ContentNegotiation plugin, paired with kotlinx.serialization, automatically handles JSON request and response bodies so you can focus on business logic.
Loading…
ReadMeFeed / Community knowledge
#serialization
Real questions. Useful conversations. Find the people who know your stack.
ktorUsing Crystal's JSON::Serializable for Boilerplate‑Free JSON Mapping
Learn how Crystal’s JSON::Serializable macro generates to_json/from_json methods, when to use annotations, and what trade‑offs to consider.
crystal
jsonHandling JSON Payloads in Ktor: Type-Safe Routing and Content Negotiation
Stop manually parsing JSON in Ktor. Learn how to use the ContentNegotiation plugin and kotlinx.serialization to build type-safe, clean REST endpoints.
ValueError: Unknown layer: <function <lambda> at 0x...> in Keras Lambda layer
The goal is to guarantee that a Keras model containing a Lambda layer can be saved and subsequently reloaded in a different process or environment without raising a ValueError about an unknown layer. In local interactive sessions the inline lambda function remains in memory, allowing the model to be used directly, but after model.save the layer’s configurati
kerasNetworkX graph serialization and attribute type persistence
NetworkX supports exporting graph structures to various formats, including GML, GraphML, and JSON, via the read_write module. While node_link_data enables conversion to Python dictionaries for JSON compatibility, the library relies on standard Python dictionary structures for in-memory storage. A design challenge arises when graphs contain complex Python obj
pythonKeras load_model failure with custom object serialization
Custom Layer Serialization in TensorFlow Keras When utilizing tf.keras.models.load_model to restore a model containing custom layers or loss functions, TensorFlow requires a custom_objects dictionary to map serialized names back to their Python implementations. While this mechanism handles basic custom classes, consistency issues arise when models are transf