def convert_context_to_csv(self, context):
        content = []
        date_headers = context['date_headers']

        headers = ['Name']
        headers.extend([date.strftime('%m/%d/%Y') for date in date_headers])
        headers.append('Total')
        content.append(headers)

        summaries = context['summaries']

        summary = summaries.get(self.export, [])

        for rows, totals in summary:
            for name, user_id, hours in rows:
                data = [name]
                data.extend(hours)
                content.append(data)
            total = ['Totals']
            total.extend(totals)
            content.append(total)
        return content
Configures the learning process.
dataset/ETHPy150Open caktus/django-timepiece/timepiece/reports/views.py/HourlyReport.convert_context_to_csv--crossover with--dataset/ETHPy150Open fchollet/keras/keras/models.py/Sequential.compile