semvec/pypi-packages huggingface dataset:
hedera-mirror-sdk 0.0.6
This is a simple Python library to facilitate the usage of the Hedera mirror node API
Requires Python: >=3.6

# Hedera Mirror Node Python SDK

Welcome to this Python SDK repository for the Hedera mirror node API.

This is a simple library to facilitate the usage of the Hedera mirror node API.

```
>>> from hedera_mirror_sdk.rest import Client
>>> client = Client(version="v1", env="testnet")
>>> accounts = client.account.get()
>>> accounts["status"]
200
>>> accounts["json"]
{'accounts': [{'account': '0.0....}
```

## Supported Python Versions
This library supports the following Python implementations:

Python 3.6
Python 3.7
Python 3.8
Python 3.9
Python 3.10

## Installation
You can clone the project down from github
```
git clone git@github.com:bobby-didcoding/hedera-mirror-sdk.git
```

hedera_mirror_sdk is available on PyPI: 
```
python -m pip install hedera_mirror_sdk
```

## More about Hedera
Hedera Mirror Nodes store the history of transactions that occurred on mainnet, testnet, and previewnet. Each transaction generates a record that is stored in a record file. The transaction contents can be accessed by the mirror node Rest APIs

Read more <a href="https://docs.hedera.com/guides/docs/mirror-node-api/rest-api" target="_blank">here</a>
invarpy 1.3.0
Invariance estiators for Python
Requires Python: >=3.6

# invarpy package v1.3.0

- Package that includes several methods to compute statistical translation non-invariance of primarly, but not limitted to, scalar
cosmological fields.

## Updates on v1.3.0

- New method called invarpy.py that calculates the first kind estimator and its bias
through pbc configuration space method for a three-dimensional field.

## Older versions updates

## Updates on v1.2.1

- All 1D methods are working;
- Removed unnecessary package functools;
- Now every method takes the same input. This means that for a configuration space routine, input
field is the field in configuration space, whereas for a Fourier space routine, input field is
the Fourier transform of the field in configuration space. For the bias routines, input must be
the field power spectrum not-normalized. The common.py method computes the power spectrum without
normalizing it. Normalization happens inside the routines of nopbc_estimators or pbc_estimators
methods.

### Minor Bug fixes on v1.2.0

- Fixed sigma estimator if statement on nopbc_estimators method;
- nopbc_estimators method is working correctly.

### Major Bug fixes on v1.1.2

- Fixed configuration space on pbc_estimators method normalization factor for the estimator bias;
- Fourier space and configuration space for pbc_estimator.py is working correctly.

### Minor Bug fixes on v1.1.1

- Fixed bug of 'unexpected keyword argument estimator_kind' on sigma_which_diagonal routine of pbc_estimator.py method. 

### Major Bug fixes on v1.1.0

- Fixed second and first kind estimator bias in pbc_estimators.py method.
- Fixed second kind estimator bias in pbc_estimators.py method;
- Fixed bugs on common.py.