dsuess

def HaarDistribution(name, dim, model=None):
    def transform(x):
        pi = np.pi

        def component(i):
            result = T.cos(pi * x[i])
            for j in range(i):
                result *= T.sin(pi * x[j])
            return result
            

dsuess

dsuess

dsuess

class VideoReader:
    
    def __init__(self, *paths, sampling_rate=None, batch_size=None, drop_last_batch=False):
        self.paths = list(paths)
        self.sampling_rate = sampling_rate
        self.batch_size = batch_size
        self.drop_last_batch = drop_last_batch
    
    @staticmethod
    def _get_video_properties(path):

dsuess

class VideoWriter:
    
    def __init__(self, output_path, overwrite_output=False):
        self.output_path = output_path
        self.active = False
        self._stream = None
        self._shape = None
        self.overwrite_output = overwrite_output
        
    def __enter__(self):

dsuess

dsuess

FROM ubuntu:18.04

RUN apt-get update && \
    apt-get install -y software-properties-common meson libgst-dev \
        libgstreamer1.0-dev libgstreamer-plugins-base1.0-dev libglib2.0-dev \
        libcairo2-dev locales gstreamer1.0-tools gstreamer1.0-plugins-good \
        gstreamer1.0-plugins-bad gstreamer1.0-plugins-ugly git

RUN add-apt-repository ppa:nnstreamer/ppa && \
    apt-get update && \

dsuess

FROM frolvlad/alpine-miniconda3

RUN conda install -y -c conda-forge bash jupyter jupyter_contrib_nbextensions
RUN conda install -y -c conda-forge xeus-cling xtensor
RUN mkdir /notebooks

dsuess

#include <iostream>

#include "xtensor/xio.hpp"
#include "xtensor/xnpy.hpp"
#include "xtensor/xrandom.hpp"
#include "xtensor/xtensor.hpp"
#include "xtensor/xview.hpp"

using farray = xt::xtensor<float, 2, xt::layout_type::row_major>;

dsuess

#include <iostream>

#include "xtensor/xio.hpp"
#include "xtensor/xrandom.hpp"
#include "xtensor/xtensor.hpp"
#include "xtensor/xview.hpp"

template <class E>
auto transform(E& x) {
  x *= 2;