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.github/workflows/submit-github-dependency-graph.yml
name: Submit Dependency Graph on: workflow_dispatch: push: branches: - master permissions: {} jobs: generate-and-submit: permissions: contents: write runs-on: ubuntu-latest steps: - uses: actions/checkout@v6 - uses: actions/setup-java@v5 with: distribution: temurin java-version: 17 - name: Setup GradleRegistered: Wed Dec 31 11:36:14 UTC 2025 - Last Modified: Thu Nov 20 22:15:20 UTC 2025 - 933 bytes - Viewed (0) -
android/guava/src/com/google/common/graph/ArchetypeGraph.java
Set<N> nodes(); // // Graph properties // /** * Returns true if the edges in this graph are directed. Directed edges connect a {@link * EndpointPair#source() source node} to a {@link EndpointPair#target() target node}, while * undirected edges connect a pair of nodes to each other. */ boolean isDirected(); /**
Registered: Fri Dec 26 12:43:10 UTC 2025 - Last Modified: Tue Nov 11 17:11:16 UTC 2025 - 7.5K bytes - Viewed (0) -
tensorflow/c/c_api_test.cc
TF_Status* s = TF_NewStatus(); TF_Graph* graph = TF_NewGraph(); // Create a simple graph. Placeholder(graph, s); ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s); ASSERT_TRUE(TF_GraphOperationByName(graph, "feed") != nullptr); TF_Operation* oper = ScalarConst(3, graph, s); ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s); ASSERT_TRUE(TF_GraphOperationByName(graph, "scalar") != nullptr); Neg(oper, graph, s);
Registered: Tue Dec 30 12:39:10 UTC 2025 - Last Modified: Mon Nov 17 00:00:38 UTC 2025 - 97K bytes - Viewed (0) -
.teamcity/performance-tests-ci.json
"groups" : [ { "testProject" : "excludeRuleMergingBuild", "coverage" : { "per_commit" : [ "linux" ] } } ] }, { "testId" : "org.gradle.performance.regression.corefeature.LargeDependencyGraphPerformanceTest.resolve large dependency graph (parallel = false, locking = true)", "groups" : [ {
Registered: Wed Dec 31 11:36:14 UTC 2025 - Last Modified: Thu Dec 25 10:54:09 UTC 2025 - 32.8K bytes - Viewed (0) -
docs/es/docs/how-to/migrate-from-pydantic-v1-to-pydantic-v2.md
### Pydantic v1 y v2 en la misma app { #pydantic-v1-and-v2-on-the-same-app } No está soportado por Pydantic tener un modelo de Pydantic v2 con sus propios campos definidos como modelos de Pydantic v1 o viceversa. ```mermaid graph TB subgraph "❌ Not Supported" direction TB subgraph V2["Pydantic v2 Model"] V1Field["Pydantic v1 Model"] end subgraph V1["Pydantic v1 Model"]Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Tue Dec 16 16:16:35 UTC 2025 - 5.6K bytes - Viewed (0) -
api/maven-api-core/src/main/java/org/apache/maven/api/package-info.java
* resolving the version} and then downloading the file.</p> * * <p><dfn>Dependency collection</dfn> builds a graph of {@link org.apache.maven.api.Node} objects containing * all the dependencies.</p> * * <p>The <dfn>Dependency graph flattening</dfn> process in Maven reduces a complex, * multi-level dependency graph to a map of ordered lists that can be turned into classpaths.
Registered: Sun Dec 28 03:35:09 UTC 2025 - Last Modified: Mon Dec 15 11:13:42 UTC 2025 - 7.7K bytes - Viewed (0) -
docs/pt/docs/how-to/migrate-from-pydantic-v1-to-pydantic-v2.md
### Pydantic v1 e v2 na mesma aplicação { #pydantic-v1-and-v2-on-the-same-app } Não é suportado pelo Pydantic ter um modelo do Pydantic v2 com campos próprios definidos como modelos do Pydantic v1, ou vice-versa. ```mermaid graph TB subgraph "❌ Not Supported" direction TB subgraph V2["Pydantic v2 Model"] V1Field["Pydantic v1 Model"] end subgraph V1["Pydantic v1 Model"]Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Wed Nov 12 16:23:57 UTC 2025 - 5.8K bytes - Viewed (0) -
docs/es/llm-prompt.md
* list (as in Python list): list * context manager: context manager (do not translate to "gestor de contexto" or "administrador de contexto") * a little bit: un poquito * graph (data structure, as in "dependency graph"): grafo (do not translate to "gráfico") * form data: form data (do not translate to "datos de formulario" or "datos de form") * import (as in code import): import (do not translate to "importación")
Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Tue Dec 16 16:33:45 UTC 2025 - 5.4K bytes - Viewed (0) -
docs/en/docs/how-to/migrate-from-pydantic-v1-to-pydantic-v2.md
### Pydantic v1 and v2 on the same app { #pydantic-v1-and-v2-on-the-same-app } It's **not supported** by Pydantic to have a model of Pydantic v2 with its own fields defined as Pydantic v1 models or vice versa. ```mermaid graph TB subgraph "❌ Not Supported" direction TB subgraph V2["Pydantic v2 Model"] V1Field["Pydantic v1 Model"] end subgraph V1["Pydantic v1 Model"]Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Sat Dec 20 15:55:38 UTC 2025 - 5.5K bytes - Viewed (0) -
docs/de/docs/how-to/migrate-from-pydantic-v1-to-pydantic-v2.md
Es wird von Pydantic **nicht unterstützt**, dass ein Pydantic‑v2‑Modell Felder hat, die als Pydantic‑v1‑Modelle definiert sind, und umgekehrt. ```mermaid graph TB subgraph "❌ Nicht unterstützt" direction TB subgraph V2["Pydantic-v2-Modell"] V1Field["Pydantic-v1-Modell"] end subgraph V1["Pydantic-v1-Modell"]Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Wed Dec 24 10:28:19 UTC 2025 - 6.3K bytes - Viewed (0)