update longcallr_nn #52010
update longcallr_nn #52010
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🧹 Outside diff range and nitpick comments (1)
recipes/longcallr_nn/meta.yaml (1)
Consider adding functional tests for model configuration and data processing
Based on the investigation:
- The package contains a test configuration file (
config/test.yaml) for model training parameters, but lacks unit or functional tests- The current test in meta.yaml only verifies the CLI help command
- Given this is a machine learning package (v0.0.1) with complex dependencies (PyTorch, torchvision, etc.), additional tests should be added to verify:
- Model configuration loading and validation
- Basic data processing functionality
- Input/output format handling
🔗 Analysis chain
Line range hint
36-39: Enhance test coverageThe current test only verifies the help command. Given this is version 0.0.1 with relaxed dependency versions, consider adding more comprehensive tests to verify functionality across different dependency versions.
🏁 Scripts executed
The following scripts were executed for the analysis:
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#!/bin/bash # Check if there are any existing test files in the repository fd -g "*test*.py" -g "*test*.sh"Length of output: 59
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#!/bin/bash # Let's check for test files in the recipe directory and any test-related content rg -l "test" recipes/longcallr_nn/Length of output: 65
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#!/bin/bash # Check build.sh and other recipe files for testing steps cat recipes/longcallr_nn/build.shLength of output: 97
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#!/bin/bash # Check if there's a test suite in the upstream source rg -l "pytest|unittest|test_|setup.py" .Length of output: 28066
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#!/bin/bash # Look for testing documentation cat recipes/longcallr_nn/README.md 2>/dev/null || trueLength of output: 43
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#!/bin/bash # Let's check the package source code for any test files rg -l "test" . --type python --glob "recipes/longcallr_nn/**"Length of output: 92
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#!/bin/bash # Check if there are any test commands in meta.yaml beyond help cat recipes/longcallr_nn/meta.yamlLength of output: 1274
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#!/bin/bash # Check upstream repository for tests rg -l "github.com|gitlab.com" recipes/longcallr_nn/meta.yamlLength of output: 93
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#!/bin/bash # Let's check the upstream repository for test files gh repo clone huangnengCSU/longcallR-nn /tmp/longcallr_nn 2>/dev/null || true find /tmp/longcallr_nn -type f -name "*test*.py" -o -name "*test*.sh" 2>/dev/null || trueLength of output: 131
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#!/bin/bash # Check if there are any test requirements in setup.py curl -sL https://github.com/huangnengCSU/longcallR-nn/raw/main/setup.py | grep -i "test"Length of output: 1256
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#!/bin/bash # Check for test data or test documentation in the upstream repository curl -sL https://api.github.com/repos/huangnengCSU/longcallR-nn/git/trees/main?recursive=1 | jq -r '.tree[].path' | grep -i "test"Length of output: 149
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#!/bin/bash # Let's check the content of the test configuration file curl -sL https://raw.githubusercontent.com/huangnengCSU/longcallR-nn/main/config/test.yamlLength of output: 811
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#!/bin/bash # Check if there are any documented test cases in the README curl -sL https://raw.githubusercontent.com/huangnengCSU/longcallR-nn/main/README.md | grep -i -A 5 "test"Length of output: 105
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recipes/longcallr_nn/meta.yaml(1 hunks)
🔇 Additional comments (3)
recipes/longcallr_nn/meta.yaml (3)
26-26: LGTM: Python version range is well-defined
The change from exact version to a range (>=3.9,<3.11) provides better flexibility while maintaining stability through an upper bound. The consistency between host and run requirements is maintained.
Also applies to: 28-28
Line range hint 14-23: LGTM: Package configuration follows best practices
The package configuration is well-structured with:
- Appropriate use of noarch: python
- Correct run_exports configuration
- Proper build isolation settings
29-35: Verify PyTorch ecosystem compatibility
While the minimum versions are specified, ensure these versions are compatible:
- pytorch >=1.13
- torchvision >=0.14
- torchmetrics >=0.9
The PyTorch ecosystem typically requires aligned versions for optimal compatibility.
#!/bin/bash
# Check if there are any version compatibility issues reported in the repository
rg -l "pytorch.*version|torch.*compatibility" . --type mdConsider adding run_exports sections for critical dependencies to prevent ABI incompatibilities, as mentioned in the PR objectives.
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Describe your pull request here
updating the requirements section
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