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Task 1：If condiction refactoring
Task 1：If condiction refactoring
Commit URL: https://github.com/AUTOMATIC1111/stable-diffusion-webui/commit/0afbc0c2355ead3a0ce7149a6d678f1f2e2fbfee
Initial Edit: At extensions-builtin/ScuNET/scripts/scunet_model.py: 30
Refactor URL detection by replacing 'if "http" in ...' with 'startswith("http")'
This commit improves the accuracy and readability of URL detection in multiple scripts:
Ensures more robust detection of URLs, preventing false positives where "http" appears in non-URL strings.
Enhances code clarity and maintainability.
Task 2: Create new arguments
Task 2: Create new arguments
Commit URL: https://github.com/tensorflow/models/commit/1c89b792ccdb53dd0cc2504f3bce502e5f0aa4e5
Initial Edit: At official/nlp/bert/run_classifier.py:492
By adding a new argument num_samples to the function get_dataset_fn, programmers must address this editing task in 2 directions: addressing the new argument FLAGS.train_data_size, and creating new formal parameters for function get_dataset_fn
For the new argument FLAGS.train_data_size, participants must add this new argument to FLAGS, meanwhile considering the corner cases, for example, the FLAGS.train_data_size may be greater than the actual size of the training dataset
For creating new formal parameters for the function get_dataset_fn, programmers will discover an edit propagation path: get_dataset_fn() --> create_classifier_dataset() -->single_file_dataset(). This editing path across 2 files and 7 edits, making it a complex editing task for participants.
Task 3: Enhance Dropout class
Task 3: Enhance Dropout class
Commit URL: https://github.com/keras-team/keras/commit/8c0c3774e6cf88704f685784f8baba9694220d4d
Initial Edit: At keras/layers/core.py:72
Adding support of 2 arguments: noise_shape and seed to Dropout layer API, and pass them to backend Dropout implementation.
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