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internal/s3select/simdj/testdata/parking-citations-10.json.zst
parking-citations-10.json.zst {"Ticket":1103341116,"IssueData":"2015-12-21T00:00:00","IssueTime":"1251","RPState":"CA","PlateExpiry":"200304","Make":"HOND","BodyStyle":"PA","Color":"GY","Location":"13147 WELBY WAY","Route":"01521","Agency":1,"ViolationCode":"4000A1","ViolationDescr":"NO EVIDENCE OF REG","Fine":50,"Latitude":99999,"Longitude":99999} {"Ticket":1103700150,"IssueData":"2015-12-21T00:00:00","IssueTime":"1435","RPState":"CA","PlateExpiry":"201512","Make":"GMC","BodyStyle":"VN","Col...Created: Sun Dec 28 19:28:13 GMT 2025 - Last Modified: Tue Jun 01 21:59:40 GMT 2021 - 693 bytes - Click Count (0) -
CHANGELOG/CHANGELOG-1.18.md
- Warning about using a deprecated volume plugin is logged only once. ([#96751](https://github.com/kubernetes/kubernetes/pull/96751), [@jsafrane](https://github.com/jsafrane)) [SIG Storage] ### Other (Cleanup or Flake)
Created: Fri Dec 26 09:05:12 GMT 2025 - Last Modified: Wed Jun 16 17:18:28 GMT 2021 - 373.2K bytes - Click Count (0) -
CHANGELOG/CHANGELOG-1.15.md
#### Continuous Improvement - Project sustainability is not just about features. Many SIGs have been working on improving test coverage, ensuring the basics stay reliable, and stability of the core feature set and working on maturing existing features and cleaning up the backlog. #### Extensibility
Created: Fri Dec 26 09:05:12 GMT 2025 - Last Modified: Thu May 05 13:44:43 GMT 2022 - 278.9K bytes - Click Count (0) -
tensorflow/c/c_api.cc
const string& mutation_warning = session->graph->sessions[session]; if (!mutation_warning.empty()) { // TODO(b/74949947): turn this back into an error status LOG(WARNING) << mutation_warning; session->graph->sessions[session].clear(); } const auto num_nodes = graph.num_node_ids(); if (session->last_num_graph_nodes < num_nodes) {Created: Tue Dec 30 12:39:10 GMT 2025 - Last Modified: Sat Oct 04 05:55:32 GMT 2025 - 102.4K bytes - Click Count (0) -
docs/ja/docs/deployment/docker.md
* <a href="https://github.com/tiangolo/uvicorn-gunicorn-fastapi-docker" class="external-link" target="_blank">tiangolo/uvicorn-gunicorn-fastapi</a>. /// warning このベースイメージや類似のイメージは**必要ない**可能性が高いので、[上記の: FastAPI用のDockerイメージをビルドする(Build a Docker Image for FastAPI)](#build-a-docker-image-for-fastapi)のようにゼロからイメージをビルドする方が良いでしょう。 ///
Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Mon Aug 12 21:47:53 GMT 2024 - 44.3K bytes - Click Count (0) -
CHANGELOG/CHANGELOG-1.25.md
The `read_vs_write_current_requests` metric histogram is adjusted, in the case of using API Priority and Fairness instead of max-in-flight, to divide by the relevant limit: sum of queue capacities for waiting requests, sum of seat limits for executing requests. ([#110164](https://github.com/kubernetes/k...
Created: Fri Dec 26 09:05:12 GMT 2025 - Last Modified: Mon May 06 09:23:20 GMT 2024 - 419.1K bytes - Click Count (0) -
docs/es/llm-prompt.md
* 100% test coverage: cobertura de tests del 100% * back and forth: de un lado a otro * I/O (as in "input and output"): I/O (do not translate to "E/S") * Machine Learning: Machine Learning (do not translate to "Aprendizaje Automático") * Deep Learning: Deep Learning (do not translate to "Aprendizaje Profundo") * callback hell: callback hell (do not translate to "infierno de callbacks") * tip: Consejo (do not translate to "tip")
Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Tue Dec 16 16:33:45 GMT 2025 - 5.4K bytes - Click Count (0) -
docs/en/docs/tutorial/path-params.md
{* ../../docs_src/path_params/tutorial005_py39.py hl[1,6:9] *} /// tip If you are wondering, "AlexNet", "ResNet", and "LeNet" are just names of Machine Learning <abbr title="Technically, Deep Learning model architectures">models</abbr>. /// ### Declare a *path parameter* { #declare-a-path-parameter }Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Wed Dec 17 20:41:43 GMT 2025 - 9.2K bytes - Click Count (0) -
docs/es/docs/tutorial/path-params.md
/// tip | Consejo Si te estás preguntando, "AlexNet", "ResNet" y "LeNet" son solo nombres de <abbr title="Técnicamente, arquitecturas de modelos de Deep Learning">modelos</abbr> de Machine Learning. /// ### Declarar un *path parameter* { #declare-a-path-parameter } Luego crea un *path parameter* con una anotación de tipo usando la clase enum que creaste (`ModelName`):
Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Wed Dec 17 20:41:43 GMT 2025 - 9.8K bytes - Click Count (0) -
CHANGELOG/CHANGELOG-1.5.md
* !!! [1215 15:42:56] Timed out waiting for apiserver: to answer at https://localhost:6443/version; tried 10 waiting 1 between each
Created: Fri Dec 26 09:05:12 GMT 2025 - Last Modified: Thu Dec 24 02:28:26 GMT 2020 - 136.4K bytes - Click Count (0)