MohamedKari

#!/bin/sh

source deactivate 

export CONDA_CUSTOM_ENV_URL="$1"

export CONDA_CUSTOM_ENV_PARENT_DIR="/home/ec2-user/SageMaker"
export CONDA_CUSTOM_ENV_DIR="$CONDA_CUSTOM_ENV_PARENT_DIR/custom_env"

cd $CONDA_CUSTOM_ENV_PARENT_DIR

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brew install zsh-completions
autoload -Uz compinit
compinit
autoload bashcompinit && bashcompinit
source /usr/local/share/zsh/site-functions/_aws

MohamedKari

Conda Env Management

tested on MacOS

Alternative 1: Create conda-env command by command

Ensure anaconda is in your path env variable, e.g. /usr/local/anaconda3/bin after default-installing with brew.

Create the env and install dependencies.

conda create -p ./conda-env python=3.7
conda install -p ./conda-env/ anaconda

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name: custom_env
dependencies:
  - python=3.6
  - anaconda
  - boto3
  - pip
  - pip:
    - tensorflow>=2.1.0
    - ipykernel

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'''
**Author**: 
Mohamed Kari <contact@mkari.de>

**Describtion**
Clone private github repos effortlessly into your Notebook Cloud VM with a two-liner.

**Usage**

Alternative 1 (recommended):

MohamedKari

Building a pipenv

Alternative 1: Incremental

Initialize

First, create a new and empty pipenv. If there is no Pipfile, the following command will create an empty one:

pipenv install

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FROM nvidia/cuda:9.0-cudnn7-devel-ubuntu16.04

SHELL ["/bin/bash", "-c"] 

ENV PYENV_ROOT="/.pyenv"

# Install pyenv dependencies & fetch pyenv
# see: https://github.com/pyenv/pyenv/wiki/common-build-problems
RUN apt-get update && \
    apt-get install -y build-essential libssl-dev zlib1g-dev libbz2-dev \

MohamedKari

# args 
SAN_FILE = localhost.san

# vars
NAME = $(basename $(SAN_FILE))
ca_key_passphrase = $(shell openssl rand -base64 32)

define ca_conf_template
[ req ]
default_bits       = 4096

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__pycache__

MohamedKari

import time
import logging
import importlib
from typing import List, Any
from enum import Enum
from collections import deque
from concurrent.futures import ThreadPoolExecutor
from abc import ABC, abstractmethod

import numpy as np