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Further text simplification #2
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Thank you!Thank you for your pull request 😃 🤖 This automated message can help you check the rendered files in your submission for clarity. If you have any questions, please feel free to open an issue in {sandpaper}. If you have files that automatically render output (e.g. R Markdown), then you should check for the following:
Rendered Changes🔍 Inspect the changes: https://github.com/ICR-RSE-Group/carpentry-pando-python/compare/md-outputs..md-outputs-PR-2 The following changes were observed in the rendered markdown documents: What does this mean?If you have source files that require output and figures to be generated (e.g. R Markdown), then it is important to make sure the generated figures and output are reproducible. This output provides a way for you to inspect the output in a diff-friendly manner so that it's easy to see the changes that occur due to new software versions or randomisation. ⏱️ Updated at 2025-01-29 16:43:21 +0000 |
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The rest is much better than the original!
| To retrieve or check for the existence of a key within a hashing data structure, the key is hashed again and a process equivalent to insertion is repeated. However, now the key at each index is checked for equality with the one provided. If any empty index is found before an equivalent key, then the key must not be present in the ata structure. | ||
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| When a dictionary or hash table in Python grows, the underlying storage is resized, which necessitates re-inserting every existing item into the new structure. This process can be computationally expensive but is essential for maintaining efficient average probe times when searching for keys. | ||
| {alt="A iagram showing how keys (hashes) 37, 64, 14, 94, 67 are inserted into a hash table with 11 indices. The insertion of 59, 80, and 39 demonstrates linear probing to resolve collisions."} |
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'a diagram' not iagram!
| To retrieve or check for the existence of a key within a hashing data structure, the key is hashed again and a process equivalent to insertion is repeated. However, now the key at each index is checked for equality with the one provided. If any empty index is found before an equivalent key, then the key must not be present in the ata structure. | ||
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| When a dictionary or hash table in Python grows, the underlying storage is resized, which necessitates re-inserting every existing item into the new structure. This process can be computationally expensive but is essential for maintaining efficient average probe times when searching for keys. | ||
| {alt="A iagram showing how keys (hashes) 37, 64, 14, 94, 67 are inserted into a hash table with 11 indices. The insertion of 59, 80, and 39 demonstrates linear probing to resolve collisions."} |
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'a visual' not 'an visual'!
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Auto-generated via `{sandpaper}`
Source : bbfb7be
Branch : main
Author : msarkis-icr <[email protected]>
Time : 2025-01-29 16:46:35 +0000
Message : Merge pull request #2 from ICR-RSE-Group/fix_issue_21_bis
Simplifying text in different sections
Auto-generated via `{sandpaper}`
Source : 3fbb41c
Branch : md-outputs
Author : GitHub Actions <[email protected]>
Time : 2025-01-29 16:47:28 +0000
Message : markdown source builds
Auto-generated via `{sandpaper}`
Source : bbfb7be
Branch : main
Author : msarkis-icr <[email protected]>
Time : 2025-01-29 16:46:35 +0000
Message : Merge pull request #2 from ICR-RSE-Group/fix_issue_21_bis
Simplifying text in different sections
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