High-performance grep-compatible CLI with Rust, GPU, and AST/NLP routing

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  • Requires: Python >=3.11
  • Provides-Extra: ast , bench , dev , gpu , gpu-win , nlp
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Project description

tensor_grep_rs

Rust core crate for tensor-grep.

This crate powers fast search/count paths and Python bindings via pyo3.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for jhollingsworth from gravatar.com jhollingsworth

Unverified details

These details have not been verified by PyPI
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  • Requires: Python >=3.11
  • Provides-Extra: ast , bench , dev , gpu , gpu-win , nlp

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1.58.2

1.58.1

1.58.0

1.57.1

1.57.0

1.56.2

1.56.1

1.56.0

1.55.0

1.54.6

1.54.5

1.54.4

1.54.3

1.54.2

1.54.1

1.54.0

1.53.0

1.52.0

1.51.10

1.51.9

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1.51.7

1.51.6

1.51.5

1.51.4

1.51.3

1.51.2

1.51.1

1.51.0

1.50.0

1.49.3

1.49.2

1.49.1

1.49.0

1.48.1

1.48.0

1.47.0

1.46.0

1.45.17

1.45.16

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1.45.9

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1.42.6

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1.31.0

1.30.5

This version

1.30.4

1.30.3

1.30.2

1.30.1

1.30.0

1.29.0

1.28.8

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1.23.3

1.23.2

1.23.0

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1.22.0

1.21.0

1.20.0

1.19.9

1.19.8

1.19.7

1.19.6

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1.19.0

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1.12.66

1.12.65

1.12.64

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1.12.62

1.12.61

1.12.59

1.12.58

1.12.57

1.12.56

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1.12.6

1.12.5

1.12.4

1.12.3

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1.11.7

1.11.6

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1.11.4

1.11.3

1.11.2

1.11.1

1.10.10

1.10.9

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1.10.7

1.10.6

1.10.5

1.10.4

1.10.3

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1.10.0

1.9.11

1.9.9

1.9.8

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1.9.0

1.8.33

1.8.32

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1.8.10

1.8.9

1.8.8

1.8.7

1.8.6

1.8.5

1.8.4

1.8.3

1.8.2

1.8.1

1.8.0

1.7.2

1.7.1

1.7.0

1.6.5

1.6.4

1.6.3

1.6.2

1.6.1

1.6.0

1.4.12

1.4.11

1.4.10

1.4.9

1.4.8

1.4.7

1.4.6

1.4.5

1.4.4

1.4.3

1.4.2

1.4.1

1.4.0

1.3.2

1.3.1

1.3.0

1.2.0

1.1.4

1.1.3

1.1.2

1.1.1

1.1.0

1.0.1

0.35.1

0.35.0

0.34.0

0.33.0

0.32.0

0.31.24

0.31.23

0.31.22

0.31.21

0.31.20

0.31.19

0.31.18

0.31.17

0.31.16

0.31.15

0.31.14

0.31.12

0.31.10

0.31.9

0.31.8

0.31.7

0.31.6

0.31.5

0.31.4

0.31.3

0.31.2

0.31.1

0.31.0

0.30.4

0.30.3

0.30.2

0.30.1

0.30.0

0.29.3

0.29.2

0.29.1

0.29.0

0.28.0

0.27.0

0.26.6

0.26.5

0.26.4

0.26.3

0.26.2

0.26.1

0.26.0

0.25.0

0.24.0

0.23.0

0.22.0

0.21.0

0.20.0

0.19.0

0.18.0

0.17.0

0.16.2

0.16.1

0.16.0

0.15.1

0.15.0

0.14.0

0.13.0

0.12.5

0.12.3

0.12.2

0.12.0

0.11.1

0.10.1

0.10.0

0.9.1

0.9.0

0.8.0

0.7.0

0.6.1

0.6.0

0.5.0

0.4.1

0.4.0

0.3.4

0.2.1

0.2.0

0.1.0

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