semvec/pypi-packages huggingface dataset:
ccaaws 0.4.8
AWS boto3 objects for python
Requires Python: >=3.6,<4.0

# ccaaws

Python objects wrapped around [boto3](https://github.com/boto/boto3)

## botosession.py

Base class inherited by all the others.  Manages connections to AWS via
access keys or profiles.

## cfnclient.py

CloudFormation client

## cwclient.py

CloudWatch client

## iamclient.py

Access to IAM functions - mainly for user access key management.

Can raise an `AccessKeyError` exception on failure.

```
from ccaaws.iamclient import IamClient

iam = IamClient("iam.user")
newkey = iam.rotateKeys()
```

## paramstore.py

SSM ParameterStore client

[modeline]: # ( vim: set ft=markdown tw=74 fenc=utf-8 spell spl=en_gb mousemodel=popup: )
arcturus 0.1.1
A library for interacting with the cosmos networks
Requires Python: >=3.6, <4
Keywords: cosmos,gaia,fetchhub,fetchai

# PyCosm

A library for interacting with cosmos based networks


# Generate python types form Cosmos-SDK protobuf schema:
## First fetch Cosmos-SDK protobuf schema files (ONE-OFF step):
>NOTE: This is normally one-off step. In the case, that completely new version of Cosmos-SDK is required (see the
`COSMOS_SDK_VERSION` variable in the [Makefile](#Makefile])), it might be
better to force it to re-fetch manually again - please run following command in that case:

```shell
make fetch_proto_schema_source
```

>NOTE: Please note that source protobuf schema files are intentionally **NOT** committed in this repo, they are 
> fetched on demand and stored as **local** files.


## Generate python types:
Run the following command:
```shell
make generate_proto_types
```
>NOTE: The Cosmos-SDK is intentionally not made part of this repository 
> (e.g. via `git submodule ...`, or `git subtree ...`, or by-value(
> trivial copy).
> The reason being to minimise filesystem footprint of this repository.
> It is **NOT** necessary to store Cosmos-SDK protobuf schema files in
> this repository, only python types generated out of protobuf schema is
> actually necessary.
> The makefile target id implemented the way, that necessary bits & pieces
> of Cosmos-SDK repository is downloaded on demand (for python types
> generation), but they are **NOT** checked-in to this repository


# Setup Stargate local-net
## Setup FetchD
```
bash scripts/setup_fetchd.sh
```
Script will ask for root permissions while setting up node.

# Start node
```
fetchd start
```

# Run examples
Commands bellow should be executed from pipenv shell
```
pipenv install
pipenv shell
```

### Query balance example using REST api
```
python src/examples/query_balance_rest_example.py
```

### Send funds transaction example
Using gRPC
```
python src/examples/tx_send_grpc_example.py
```
Using REST api
```
python src/examples/tx_send_rest_example.py
```

### Contract deployment and interaction example
Using gRPC
```
python src/examples/contract_interaction_grpc_example.py
```
Using REST api
```
python src/examples/contract_interaction_rest_example.py
```

### Native tokens atomic swap example 
Using gRPC
```
python src/examples/tx_native_tokens_atomic_swap_grpc_example.py
```
Using REST api
```
python src/examples/tx_native_tokens_atomic_swap_rest_example.py
```

### Atomic swap using ERC1155 contract example
Using gRPC
```
python src/examples/atomic_swap_contract_grpc_example.py
```
Using REST api
```
python src/examples/atomic_swap_contract_rest_example.py
```
fathom-lib 0.1.9
Fathom lib
Requires Python: >=3.6

Fathom Python library
=====================

This is a library that helps in defining model pipelines.

Modules:
- `component_autogeneration` - generates schemas for defining Machine Learning components
- `experimentation` - generates scripts for mlflow to run experiments
- `metrics` - defines non-standard metrics for predictive maintenance models
- `models` - wrappers for predictive maintenance models (XGBoostAFT)
- `transformers` - defines non-standard scikit-learn transformations
- `validation` - defines validation algorithms for predictive maintanence

Development
-----------

### Run tests

```
pytest tests
```