mgnisia

# Creating Function to write Email as EML File to Disk
def save_message(message_admin, request, queryset):
    i = 0
    for message in queryset.all():
        eml_content = message.get_email_object().as_bytes()
        file_name = f"some_file_path/{message.subject}_{i}.eml"
        print(file_name)
        with open(file_name, "wb") as outfile:
           outfile.write(eml_content)
        i += 1

mgnisia

from sympy import *
init_printing()
i, j = symbols('i j', cls=Idx)
b = IndexedBase('b')
c = IndexedBase('c')
alpha = IndexedBase('alpha')
Sum(b[i]*alpha[i,j]*c[j], (i, 1, 3), (j, 1,3)).doit()

mgnisia

# Selecting the Operating System
FROM ubuntu:18.04

# Updating
RUN apt-get -y update && apt-get -y upgrade && apt-get -y install wget git gnupg gnupg2 gnupg1 software-properties-common vim
RUN sh -c "wget -qO - http://dl.openfoam.org/gpg.key | apt-key add -" 
# Setup OpenFoam
RUN add-apt-repository http://dl.openfoam.org/ubuntu
RUN apt-get update
RUN apt-get -y install openfoam5

mgnisia

FROM nlknguyen/alpine-mpich
FROM gcc

# Update the containers to install fish
RUN apt-get update 
RUN apt-get upgrade -y
RUN apt-get install -y fish vim

# Install PNG Library
RUN wget https://download.savannah.nongnu.org/releases/pngpp/png++-0.2.9.tar.gz

mgnisia

function md_table
  set header "| header | header |\n| ------ | ------ |\n"
  for i in *.cpp;
    set -a header "| $i |  |\n";
  end;
  printf "$header";
end

mgnisia

FROM gcc

# Install MPI
ENV MPI_VERSION 3.3.1
RUN wget http://www.mpich.org/static/downloads/${MPI_VERSION}/mpich-${MPI_VERSION}.tar.gz &&\
    tar xfz mpich-${MPI_VERSION}.tar.gz &&\
    cd mpich-${MPI_VERSION} &&\
    ./configure &&\
    make -j 4 &&\
    make -j 4 install

mgnisia

FROM gcc

# Install MPI
ENV MPI_VERSION 3.3.1
RUN wget http://www.mpich.org/static/downloads/${MPI_VERSION}/mpich-${MPI_VERSION}.tar.gz &&\
    tar xfz mpich-${MPI_VERSION}.tar.gz &&\
    cd mpich-${MPI_VERSION} &&\
    ./configure &&\
    make -j 4 &&\
    make -j 4 install

mgnisia

#poisson solver
#u_xx = b(x)
%matplotlib inline 
from __future__ import division
import numpy as np
from numpy import cos, sin, zeros, pi
from numpy.linalg import solve, norm
import matplotlib.pyplot as plt
from matplotlib import rcParams
 

mgnisia

template<typename T>
std::array<T,3> index_3D(T index, T size) {
   T x = index % size;
   T tmp = (index - x) / size;
   T y = tmp % size;
   T z = (tmp - y) / size;
   return std::array<T,3>{z,y,x};
} 

mgnisia

# Assumption tensor == np.array
def print_tensor(tensor):
    for i3 in range(0, tensor.shape[0]):
        for i1 in range(0, tensor.shape[2]):
            string_line = ""
            for i2 in range(0, tensor.shape[1]):
                string_line += " {:3.2f} ".format(tensor[i3][i2][i1]) 
            print(string_line)
        print("------------------------------------")