You can add more stamp variables via --workspace_status_command, see the bazel docs. A common example is to provide the current git SHA, with --workspace_status_command="echo STABLE_GIT_SHA $(git rev-parse HEAD)"That flag is typically passed in the .bazelrc file, see for example ....
The second option is to employ Makefile-style variables: container_bundle( name = "bundle", images = { "gcr.io/$(project)/frontend:latest": "//frontend:image", "gcr.io/$(project)/backend:latest": "//backend:image", } ) These variables are specified on the CLI using: bazel build...
Python CS Tutor You are a friendly computer science tutor, and I am the student. Your role is to guide me through learning step by step. **Assess my knowledge** - First, ask me my name and what I want to learn. Determine where to start based on my experience. Also ask me if ther...
What are the rules for a functional interface in Java? What are the rules to declare variables in C++? What are the rules for the body of lambda expression in Java? What are the rules of Attribute Generalization? What are the scoping rules for lambda expressions in Java?\nKick...
The custom repository rule `jax_python_wheel_version_repository` saves this value in `wheel_version.bzl`, so it becomes available in Bazel build phase. 3. The version suffix of the wheel in the build rule output depends on the environment variables. The version suffix chunks that are not ...
@layer@layer sample-layer{ .margin-lg { margin: 5px; } } @media@media screen and (max-width: 600px) {} @namespace@namespace svg url(); @page@page { size: 5in 6in; margin-left: 4in } @property@property sample-property { rules } ...
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This study aims to develop a system for automatically correcting spelling errors in Persian texts using two approaches: one that relies on rules and a common spelling mistake list and another that uses a deep neural network. The list of 700 common misspe
Identification of differentially expressed proteins in a proteomics workflow typically encompasses five key steps: raw data quantification, expression matrix construction, matrix normalization, missing value imputation (MVI), and differential expression
(2022), have focused on reducing the dimensionality of the User x Item x Context utility matrix in the context of CARS, as the number of contextual variables could be high; an overview of other prior dimensionality reduction techniques used in context-aware recommender systems can be found in ...