semvec/pypi-packages huggingface dataset:
edt4jinja2 0.1.19
Embed the data source specifications in your JINJA templates directly, and enjoy the dynamic data contexts.
Requires Python: >=3.6
Keywords: template,jinja,rdf,sparql,linked-data,data-source,dynamic-context

# eds4jinja2
Embedded Datasource Specification in Jinja2 templates

Specify the data sources in your JINJA templates directly.


```jinja2
{% set content, error = from_file(path).fetch_tree() %} \n
content:  {{ content }}\n
error: {{ error }}\n
```

```jinja2
{% set content, error =
    from_endpoint(endpoint).with_query(query_string).fetch_tabular() %}
content:  {{ content }} \n
error: {{ error }} \n
```

[Read the docs here](https://eds4jinja2.readthedocs.io/en/latest/)
torch-train 0.0.3
Training wrapper around torch.nn.Module, provides scikit-learn like fit and predict interfaces.

# torch-train
Training wrapper around torch.nn.Module, provides scikit-learn like fit and predict interfaces.

## Installation
The easiest way to install is through pip
```
pip install torch-train
```

### Dependencies
The torch-train is an extension of the pytorch library.
Therefore, when installed manually, ensure pytorch is installed.
Either through pip:
```
pip install torch
```
See [https://pytorch.org/](https://pytorch.org/) for a detailed installation guide.

## Documentation
For a full reference, please see [torch-train.readthedocs.io](https://torch-train.readthedocs.io).
pyrfdata 0.0.3
pyrfdata generates data for performance testing
Requires Python: >=3.6

# pyrfdata

Generate data for performance testing.

## Installation

`pip3 install pyrfdata`

## Usage

`pyrfdata [COMMAND] [OPTIONS]`

### Commands

#### Generate data

`generate`, `gen` or `g` can be used to generate data.

### Options

#### Number of parallel processes

`l:10` will cause up to 10 parallel processes to spawn to generate data. Defaults to 1 process.

#### Batch size

`s:10000` will cause upto 10000 rows to be generated by a process at a time. Defaults to 1000.