semvec/pypi-packages huggingface dataset:
odoo8-addon-l10n-es-subcontractor-certificate 8.0.1.0.0.99.dev18
Certificado de subcontratista
Requires Python: ~=2.7

Certificado de subcontratista
=============================
Este módulo permite gestionar el certificado de subcontratista de los 
proveedores, en su ficha la caducidad del certificado.

En pedidos de compra y facturas, al seleccionar el proveedor, si este 
tiene fecha de caducidad del certificado y es anterior a la fecha actual
devolverá un aviso indicando que tiene el certificado caducado.
odoo8-addon-l10n-es-account-banking-sepa-fsdd 8.0.1.0.0.99.dev8
Account Banking Sepa - FSDD (Anticipos de crédito)
Requires Python: ~=2.7

.. image:: https://img.shields.io/badge/licence-AGPL--3-blue.svg
   :target: http://www.gnu.org/licenses/agpl-3.0-standalone.html
   :alt: License: AGPL-3

==================================================
Account Banking Sepa - FSDD (Anticipos de crédito)
==================================================

Este módulo permite establecer el prefijo FSDD en el identificador de un
fichero sepa para el producto nicho de anticipos de crédito, antiguamente
exportado en el cuaderno 58.

Installation
============

Para instalar este módulo, es necesario tener disponible el módulo
*account_banking_sepa_direct_debit* del repositorio
https://github.com/OCA/bank-payment

Usage
=====

Se dispone de un campo "Cobro financiado" en el modo de pago, si se marca,
al exportar la órden de cobro con ese modo de pago nos añadirá FSDD
al identificador del fichero.

.. image:: https://odoo-community.org/website/image/ir.attachment/5784_f2813bd/datas
   :alt: Try me on Runbot
   :target: https://runbot.odoo-community.org/runbot/189/8.0

Bug Tracker
===========

Bugs are tracked on `GitHub Issues
<https://github.com/OCA/l10n-spain/issues>`_. In case of trouble, please
check there if your issue has already been reported. If you spotted it first,
help us smashing it by providing a detailed and welcomed `feedback
<https://github.com/OCA/
l10n-spain/issues/new?body=module:%20
l10n_es_account_banking_sepa_fsdd%0Aversion:%20
8.0%0A%0A**Steps%20to%20reproduce**%0A-%20...%0A%0A**Current%20behavior**%0A%0A**Expected%20behavior**>`_.

Credits
=======

Images
------

* Odoo Community Association: `Icon <https://github.com/OCA/maintainer-tools/blob/master/template/module/static/description/icon.svg>`_.

Contributors
------------

* Omar Castiñeira Saavedra <omar@comunitea.com>

Maintainer
----------

.. image:: https://odoo-community.org/logo.png
   :alt: Odoo Community Association
   :target: https://odoo-community.org

This module is maintained by the OCA.

OCA, or the Odoo Community Association, is a nonprofit organization whose
mission is to support the collaborative development of Odoo features and
promote its widespread use.

To contribute to this module, please visit https://odoo-community.org.
abondance 0.1.2
Pyhton library for Internet Health Report API

# abondance: Python library for Internet Health Report API

## Installation

### The easy way 
``````
pip install abondance
``````


### From source files
Get the latest source files:
```
git clone git@github.com:InternetHealthReport/abondance.git
```

Install dependencies and install abondance:
```
cd abondance
sudo pip install -r requirements.txt 
sudo python setup.py install
```
## AS inter-dependency (AS hegemony)
### Example: Retrieve dependencies for AS2501 on September 15th, 2018
```python
from ihr.hegemony import Hegemony

hege = Hegemony(originasns=[2501], start="2018-09-15 00:00", end="2018-09-15 23:59")

for r in hege.get_results():
  print(r)
```

### Example: Retrieve dependents of AS2500 on September 15th, 2018
```python
from ihr.hegemony import Hegemony

hege = Hegemony(asns=[2500], start="2018-09-15 00:00", end="2018-09-15 23:59")

for r in hege.get_results():
  # Skip results from the global graph
  if r["originasn"] == 0:
    continue
  print(r)
```
## AS Delay
### Example: Retrieve delay for AS7922 on September 15th, 2018
```python
from ihr.delay import Delay

res = Delay(asns=[7922], start="2018-09-15 00:00", end="2018-9-15 23:59")

for r in res.get_results():
  print(r)
```

## AS Forwarding alarms
### Example: Retrieve forwarding alarms for AS7922 on September 15th, 2018
```python
from ihr.forwarding import Forwarding

res = Forwarding(asns=[7922], start="2018-09-15 00:00", end="2018-9-15 23:59")

for r in res.get_results():
  print(r)
```
condition 1.0.8
A user friendly way to construct conditions for pandas dataframe query and sql

# Condition
[![PyPI version](https://badge.fury.io/py/condition.svg)](https://badge.fury.io/py/condition)
[![PyPI](https://img.shields.io/pypi/pyversions/condition.svg)](https://pypi.org/project/condition/)
[![Docs](https://readthedocs.org/projects/condition/badge/?version=latest)](https://condition.readthedocs.io/en/latest/?badge=latest)
[![pipeline status](https://gitlab.com/wyzhao/condition/badges/master/pipeline.svg)](https://gitlab.com/wyzhao/condition/commits/master)
[![coverage report](https://gitlab.com/wyzhao/condition/badges/master/coverage.svg)](https://gitlab.com/wyzhao/condition/commits/master)

## Project Description

This project provides a user friendly way to construct a condition object. The condition
object can be passed around and later used in various contexts, such as querying pandas Dataframe, 
filtering pyarrow partitions or generating where clauses in SQL. It takes care of formating and syntax for you.
It also supports extensibility to new usage contexts.
#### A Quick Example


```python 

>>> from condition import *
>>> import pandas as pd
>>> fl = FieldList('A B C date value'.split())
>>> cond = ((fl.date >= pd.to_datetime('20000101')) 
...             & (fl.date <= pd.to_datetime('20010131'))
...             & (fl.A == 'a1 a3'.split()) \
...             & (fl.B == 'b1')) \
...             | (fl.C != 'c3 c5'.split())
>>> print(cond) # show as sql where condition

        (
                (date >= '2000-01-01 00:00:00'
                and date <= '2001-01-31 00:00:00'
                and A in ('a1','a3')
                and B = 'b1')
        or C not in ('c3','c5'))

>>> cond.to_df_query()
"(((date >= '2000-01-01 00:00:00')&(date <= '2001-01-31 00:00:00')&(A in ('a1','a3'))&(B == 'b1'))|(C not in ('c3','c5')))"
>>> cond.to_pyarrow_filter()
[[('date', '>=', Timestamp('2000-01-01 00:00:00')),
  ('date', '<=', Timestamp('2001-01-31 00:00:00')),
  ('A', 'in', {'a1', 'a3'}),
  ('B', '=', 'b1')],
 [('C', 'not in', {'c3', 'c5'})]]
```


#### SQL Generation

```python 

>>> from condition.sql import render_sql
>>> sql = """
...     select *
...     from my_table
...     where {{where_condition}}
... """
>>> print(render_sql(sql, cond))

    select *
    from my_table
    where 
        (
                (date >= '2000-01-01 00:00:00'
                and date <= '2001-01-31 00:00:00'
                and A in ('a1','a3')
                and B = 'b1')
        or C not in ('c3','c5'))
```


Please see [Usage Examples](https://condition.readthedocs.io/en/latest/usage.html) for detailed examples.

## Installation
This project is distributed via `pip`. To get started:

```
pip install condition
```

To install jinja2 package used by condition.sql, do the following

```
pip install "condition[sql]"
```

To install all packages for development, do the following

```
pip install "condition[dev]"
```
odoo8-addon-account-balance-reporting-xls 8.0.1.0.0.99.dev21
Account balance reporting to XLS
Requires Python: ~=2.7

Excel export for account balance reporting engine
=================================================

This module allows to export financial reports to XLS files from print dialog.

**WARNING:** This module requires module *report_xls*, available on:

  https://github.com/OCA/reporting-engine/

Contributors
------------
* Alejandro Santana <alejandrosantana@anubia.es>
* Juan Formoso <jfv@anubia.es>
* Pedro M. Baeza <pedro.baeza@serviciosbaeza.com
typeless-dataclasses 1.0
Use dataclasses without variable annotations.
Requires Python: >=3.6
Keywords: dataclasses,development

**typeless-dataclasses**: use dataclasses without variable annotations


[![build](https://github.com/lemon24/typeless-dataclasses/actions/workflows/build.yaml/badge.svg)](https://github.com/lemon24/typeless-dataclasses/actions/workflows/build.yaml) [![codecov](https://codecov.io/gh/lemon24/typeless-dataclasses/branch/master/graph/badge.svg?token=691LYGEIR4)](https://codecov.io/gh/lemon24/typeless-dataclasses) [![PyPI](https://img.shields.io/pypi/v/typeless-dataclasses)](https://pypi.org/project/typeless-dataclasses/) [![black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)


Have you ever wanted to use dataclasses, but don't like type annotations?

```python
@dataclass
class Data:
    one: Any
    two: Any = 2
```

... and don't want to resort to any [ugly hacks][] like this one?

```python
@dataclass
class Data:
    one: ...
    two: ... = 2
```


With the power of **typeless-dataclasses**, now you can!

```python
@dataclass
@typeless
class Data:
    one = field()
    two = field(default=2)
```


Compare with [attrs][]:

```python
@attr.s
class Data:
    one = attr.ib()
    two = attr.ib(default=2)
```


[ugly hacks]: https://death.andgravity.com/dataclasses#if-not-type-hints-then-what
[attrs]: https://www.attrs.org/


## Installing

Install and update using [pip][]:

```console
$ pip install --upgrade typeless-dataclasses
```

**typeless-dataclasses** offers a type-annotation-free experience for Python 3.6* and newer, and PyPy.

(On 3.6, you also need to install the dataclasses [backport][].)


[pip]: https://pip.pypa.io/en/stable/quickstart/
[backport]: https://pypi.org/project/dataclasses/


## A Simple Example

Using **typeless-dataclasses** is easy!

Just add @typeless to your class before [@dataclass][], and use [field()][] as you normally would; [field()][] attributes become instance variables, and all others remain class variables.

```python
>>> from dataclasses import dataclass, field
>>> from typeless_dataclasses import typeless
>>>
>>> @dataclass
... @typeless
... class Data:
...     one = field()
...     two = field(default=2)
...     three = 3
...
>>> Data(1)
Data(one=1, two=2)
```

[@dataclass]: https://docs.python.org/3/library/dataclasses.html#dataclasses.dataclass
[field()]: https://docs.python.org/3/library/dataclasses.html#dataclasses.field


## Links

* Documentation: https://github.com/lemon24/typeless-dataclasses/blob/master/README.md
* Changes: https://github.com/lemon24/typeless-dataclasses/blob/master/CHANGES.md
* PyPI Releases: https://pypi.org/project/typeless-dataclasses/
* Source Code: https://github.com/lemon24/typeless-dataclasses
* Issue Tracker: https://github.com/lemon24/typeless-dataclasses/issues