semvec/pypi-packages huggingface dataset:
lsh-for-indexing 0.0.5
Package for indexing vectors to solr/es

## LSH for indexing

This package helps search engines to index and easily search on vector using Local sensitivity hashing (LSH)

### Installation

    pip install -i https://test.pypi.org/simple/ lsh-for-indexing

### Usage example

    from lsh.random_projection import LshGaussianRandomProjection
    import numpy as np
    
    rp = LshGaussianRandomProjection(vector_dimension=6, bucket_size=3, num_of_buckets=2)    import numpy as np
    vec = np.asarray([1,0,1,1,0,0])
    rp.fit()
    rp.indexable_transform(vec)
    >> ['0_010', '1_000']

if you know your collection size and you want an optimal number of bucket_size

    rp.fit(sample_size=2000)

transforming a bulk of vectors

    mat = np.asarray([[1,0,1,1,0,0], [1,0,0,1,0,1]])
    rp.indexable_transform(mat)
    >> [['0_010', '1_111'], ['0_010', '1_101']]
check-vat 0.2.1
Checks if a given string is a valid (real, registered) European VAT ID

# Check VAT

Check European VAT IDs 

## Installation


    $ pip install check-vat
    
    
## Usage

    >>> import check_vat
    >>> check_vat.is_valid_vat('DE 320 8 0254)
    False
    
    
## Keywords

* VAT ID Check
* Umsatzsteuernummer prüfen API