semvec/pypi-packages huggingface dataset:
HashGenerator 1.0.1
A simple file hash calculator supporting multiple algorithms
Requires Python: >=3.6
Keywords: file, hash, hashing, checksum, algorithm, md5, sha1, sha256, sha512


# HashGenerator 🔒

HashGenerator is a simple Python package to calculate the hash of a file using various hashing algorithms.

## Installation ⚙️

To install the package, use pip:

```bash
pip install HashGenerator
```

## Usage 🚀

Here's how you can use the `HashGenerator` package to calculate file hashes:

```python
from HashGenerator import calculate_hash

# Calculate SHA-256 hash
hash_value = calculate_hash('path/to/your/file.txt', 'sha256')
print(f"SHA-256: {hash_value}")

# Calculate MD5 hash
hash_value = calculate_hash('path/to/your/file.txt', 'md5')
print(f"MD5: {hash_value}")

# Calculate SHA-512 hash
hash_value = calculate_hash('path/to/your/file.txt', 'sha512')
print(f"SHA-512: {hash_value}")
```

## Supported Algorithms 🔐

The following hashing algorithms are supported:

- md5
- sha1
- sha224
- sha256
- sha384
- sha512

## Example 💡

Here's an example of how to use the `HashGenerator` package:

```python
from HashGenerator import calculate_hash

file_path = 'example.txt'
algorithm = 'sha256'

hash_value = calculate_hash(file_path, algorithm)
print(f"The {algorithm} hash of the file is: {hash_value}")
```
atpdataset 0.0.10
Dataset manipulation tool.
Requires Python: >=3.11
Keywords: dataset, measurement

# pkgpy-atp-dataset

The python package for manipulating datasets.

## URLs

- [GitHub](https://github.com/atp-things/pkgpy-atp-dataset)
- [PyPI](https://pypi.org/project/atpdataset/)

## Installation

## Keywords

- database
- dataset
- measurement, simulations, surveys
- datapoint

## Datatypes

- time series data (datapoints (time dependent), metadata, name, uuid)
- dataset:
  - timeseries (independent variables (datetime, timestamp, time(unit)))
  - multidimensional dataset
- dataset_ts(reference to time series data, metadata, name, uuid)
- dataset_spectrum (datapoints, metadata, name, uuid)

## Measurement

```YML
- name: string
- uuid: string(uuid)
- datatype_id: measurement
- metadata
  - name: string
  - uuid: string(uuid)
  - datetime: string[optional] # when the sample was created
  - device_id: string
  - device_uuid: string(uuid)
  - sample_id: string
  - sample_uuid: string(uuid)
  - subsample_id: string or ordered list[string]
  - parallel_id: string
  - location_id: string
  - location_uuid: string(uuid)
  - location_coordinates: {latitude: float, longitude: float, altitude: float[optional]}
  - measurement_type_id: string
  - measurement_type_uuid: string(uuid)
- data:
  - dict:
    - key: value or list
  - list:
    - dict:
      - key: value
- error
```

## Sample

```YML
- datatype_id: sample
- name: string
- uuid: string(uuid)

- metadata:
  - name: string
  - uuid: string(uuid)
  - datetime: string[optional] # when the sample was created
  - sample_id: string
  - location_id: string
  - location_uuid: string(uuid)
  - location_coordinates: {latitude: float, longitude: float, altitude: float[optional]}
  - ... # other metadata
- data:
  - properties: {}
  - labels: [] # list of labels
  - links: [] # links to other samples
  - measurement_dict: {}
  - measurement_list: []

- error
```