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
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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

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1.44.0

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1.28.4

1.28.3

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1.28.0

1.27.0

1.26.0

1.25.0

This version

1.24.0

1.23.3

1.23.2

1.23.0

1.22.1

1.22.0

1.21.0

1.20.0

1.19.9

1.19.8

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1.12.66

1.12.65

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1.12.59

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1.12.57

1.12.56

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1.12.39

1.12.38

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1.12.6

1.12.5

1.12.4

1.12.3

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1.11.4

1.11.3

1.11.2

1.11.1

1.10.10

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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

1.9.7

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1.9.5

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1.9.0

1.8.33

1.8.32

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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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