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[Version] v1.5.22
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Herklos committed Aug 15, 2020
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4 changes: 4 additions & 0 deletions CHANGELOG.md
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Expand Up @@ -4,6 +4,10 @@ All notable changes to this project will be documented in this file.
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).

## [1.5.22] - 2020-08-15
### Updated
- Requirements

## [1.5.21] - 2020-06-28
### Updated
- Numpy requirement
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2 changes: 1 addition & 1 deletion README.md
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# OctoBot-Evaluators [1.5.21](https://github.com/Drakkar-Software/OctoBot-Evaluators/blob/master/CHANGELOG.md)
# OctoBot-Evaluators [1.5.22](https://github.com/Drakkar-Software/OctoBot-Evaluators/blob/master/CHANGELOG.md)
[![Codacy Badge](https://api.codacy.com/project/badge/Grade/a0c08eab5d4c440aa6e3fc3061ad0520)](https://app.codacy.com/gh/Drakkar-Software/OctoBot-Evaluators?utm_source=github.com&utm_medium=referral&utm_content=Drakkar-Software/OctoBot-Evaluators&utm_campaign=Badge_Grade_Dashboard)
[![PyPI](https://img.shields.io/pypi/v/OctoBot-Evaluators.svg)](https://pypi.python.org/pypi/OctoBot-Evaluators/)
[![Coverage Status](https://coveralls.io/repos/github/Drakkar-Software/OctoBot-Evaluators/badge.svg)](https://coveralls.io/github/Drakkar-Software/OctoBot-Evaluators)
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2 changes: 1 addition & 1 deletion octobot_evaluators/__init__.py
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# License along with this library.

PROJECT_NAME = "OctoBot-Evaluators"
VERSION = "1.5.21" # major.minor.revision
VERSION = "1.5.22" # major.minor.revision
10 changes: 5 additions & 5 deletions requirements.txt
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# Setup requirements
cython==0.29.20
numpy==1.19.0
cython==0.29.21
numpy==1.19.1

# Drakkar-Software requirements
OctoBot-Channels>=1.4.9, <1.5
OctoBot-Commons>=1.3.40, <1.4
OctoBot-Tentacles-Manager>=2.2, <2.3
OctoBot-Channels>=1.4.10, <1.5
OctoBot-Commons>=1.3.43, <1.4
OctoBot-Tentacles-Manager>=2.2.3, <2.3

# Cryptocurrency trading
tulipy==0.4.0
2 changes: 1 addition & 1 deletion setup.py
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from setuptools import dist

dist.Distribution().fetch_build_eggs(['Cython>=0.29.20', 'numpy>=1.19.0'])
dist.Distribution().fetch_build_eggs(['Cython>=0.29.21', 'numpy>=1.19.1'])

import numpy as np

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