numpy/numpy
Apr 2026 – Apr 2026
1 Month active
Languages Used
Python
Technical Skills
bug fixingdata type handlingunit testing
Shreya Ghorui
PROFILE
Shreya Ghorui
Shreya Ghorui contributed to the numpy/numpy repository by addressing a bug that caused precision loss when printing user-defined floating point data types. She implemented a solution in Python that uses the str() function as the default formatter for dtypes outside the NumPy module, with special handling to exclude variable-width string dtypes. To ensure the fix’s reliability, she added a regression test that validates full numeric precision in string representations. Her work focused on bug fixing, data type handling, and unit testing, ultimately improving the accuracy and reproducibility of data logs and pipelines that rely on precise textual output.
Overall Statistics
Feature vs Bugs
0%Features
Repository Contributions
1Total
Bugs
1
Commits
1
Features
0
Lines of code
40
Activity Months1
Your Network
239 peopleWork History
April 2026
1 Commits
Apr 1, 2026April 2026 (2026-04) monthly summary for numpy/numpy: Delivered a targeted bug fix to preserve full numeric precision in string representations of user-defined floating point dtypes. The change uses str() as the default formatter for dtypes whose module is not numpy, with a special-case check to exclude the NumPy variable-width string dtype. A regression test was added to ensure the string representation retains full precision and to prevent regression. This work is associated with commit a0338f2f999d4b61fdcb6bf4646e5c77ed159991 (BUG: avoid precision loss when printing user-defined floating dtypes); co-authored-by: Sebastian Berg. Business value: Maintains data integrity in logs, debugging, and data pipelines by ensuring accurate textual representations of user-defined dtypes, reducing misinterpretation and downstream errors. Technical achievements: Debugging and implementing a robust dtype printing strategy, Python string formatting considerations, test-driven validation with added regression tests, and clear attribution to contributors.
1 Commits
Apr 1, 2026April 2026 (2026-04) monthly summary for numpy/numpy: Delivered a targeted bug fix to preserve full numeric precision in string representations of user-defined floating point dtypes. The change uses str() as the default formatter for dtypes whose module is not numpy, with a special-case check to exclude the NumPy variable-width string dtype. A regression test was added to ensure the string representation retains full precision and to prevent regression. This work is associated with commit a0338f2f999d4b61fdcb6bf4646e5c77ed159991 (BUG: avoid precision loss when printing user-defined floating dtypes); co-authored-by: Sebastian Berg. Business value: Maintains data integrity in logs, debugging, and data pipelines by ensuring accurate textual representations of user-defined dtypes, reducing misinterpretation and downstream errors. Technical achievements: Debugging and implementing a robust dtype printing strategy, Python string formatting considerations, test-driven validation with added regression tests, and clear attribution to contributors.
April 2026
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
bug fixingdata type handlingunit testing
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