semvec/pypi-packages huggingface dataset:
fakebigtable 0.1.5
Fakes bigtable ops for tests
License: MIT
Requires Python: <4.0,>=3.11

# fakebigtable

A mock implementation of Google Cloud Bigtable client for testing for when the overhead of using the emulator is too much for a small project.
Unit tests are written to prove emulator parity.   We use the emulator so you don't have to.

## Install

```
pip install fakebigtable
```

## Usage with pytest

```python
import pytest
from google.cloud import bigtable
from fakebigtable import FakeBigtableClient

@pytest.fixture(autouse=True)
def mock_bigtable(monkeypatch):
    monkeypatch.setattr(bigtable, "Client", FakeBigtableClient)

def test_bigtable_operations():
    client = bigtable.Client(project="test-project")
    instance = client.instance("test-instance")
    table = instance.table("test-table")
    # Perform operations on table
```

## Usage with unittest

```python

import unittest
from unittest.mock import patch
from google.cloud import bigtable
from fakebigtable import FakeBigtableClient

class TestBigtableOperations(unittest.TestCase):
    @patch('google.cloud.bigtable.Client', FakeBigtableClient)
    def test_bigtable_operations(self):
        client = bigtable.Client(project="test-project")
        instance = client.instance("test-instance")
        table = instance.table("test-table")
        # Perform operations on table
```
pycounts-gaurav 0.5.0
counts word counts in a text file
License: MIT
Requires Python: >=3.9

# pycounts_gaurav

counts word counts in a text file

## Installation

```bash
$ pip install pycounts_gaurav
```

## Usage

`pycounts_gaurav` can be used to count words in a text file and plot results as follows:

```python
from pycounts_gaurav.pycounts_gaurav import count_words
from pycounts_gaurav.plotting import plot_words
import matplotlib.pyplot as plt

file_path = 'test.txt' # path to your file
counts = count_words(file_path)
fig = plot_words(counts, n=10)
plt.show()
```

## Contributing

Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.

## License

`pycounts_gaurav` was created by Gaurav Parajuli. It is licensed under the terms of the MIT license.

## Credits

`pycounts_gaurav` was created with [`cookiecutter`](https://cookiecutter.readthedocs.io/en/latest/) and the `py-pkgs-cookiecutter` [template](https://github.com/py-pkgs/py-pkgs-cookiecutter).