tensor-grep

library1.13.35pypypi✓ verified 80d ago

High-performance grep-compatible CLI that routes searches between Rust, GPU, and AST/NLP engines. Current version 1.13.35, requires Python >=3.11. Active development with frequent releases.

devops

pip install tensor-grep

INSTALL

IMPORT

SIG · TENSOR-GREP

tensor-grep

devopspythonv1.13.35

harness data pending

Install & Compatibility

Where this runs

No compatibility data collected yet for this library.

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

TensorGrep

✓ import tensor_grep

✗ from tensor_grep import TensorGrep

Create a TensorGrep instance with a pattern and search a file or string.

from tensor_grep import TensorGrep # Initialize with a pattern tg = TensorGrep(pattern="error") # Search a file or string result = tg.search("log.txt") # or pass a string directly print(result)

Debug

Known issues

breakingIn version 1.12.0, the search() method changed return type from list of str to a SearchResult namedtuple.

fix

Access result.lines instead of treating result as a list.

affects: >=1.12.0

breakingThe GPU backend is only available when CUDA is installed. Without CUDA, tensor-grep falls back to CPU silently.

fix

Check TensorGrep.available_backends() before using GPU-specific features.

affects: >=1.0.0

deprecatedThe 'ast' engine is deprecated and will be removed in 2.0. Use 'nlp' instead.

fix

Pass engine='nlp' when initializing TensorGrep.

affects: >=1.9.0

Upgrade

Version history

1.13.35latest on PyPI

Audit

Dependencies

numpyoptionalGPU backend support

Agent activity

16 hits · last 30 days

node

Resources

No resource links recorded.