How to use the pypandoc.get_pandoc_path function in pypandoc

To help you get started, we’ve selected a few pypandoc examples, based on popular ways it is used in public projects.

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github ajk8 / hatchery / tests / View on Github external
def _pandoc_installed():
    except OSError:
        return False
    return True
github bebraw / pypandoc / View on Github external
def test_get_pandoc_path(self):
        result = pypandoc.get_pandoc_path()
        assert "pandoc" in result
github bebraw / pypandoc / View on Github external
def create_sample_lua(self):
        args = [pypandoc.get_pandoc_path(), '--print-default-data-file', 'sample.lua']
        p = subprocess.Popen(args, stdout=subprocess.PIPE)
        out, err = p.communicate()
        return out.decode('utf-8')
github will7200 / Yugioh-bot / View on Github external
from setuptools import setup
import pypandoc
from pypandoc.pandoc_download import download_pandoc

# see the documentation how to customize the installation path
# but be aware that you then need to include it in the `PATH`
except OSError:
    from pypandoc import convert

    read_md = lambda f: convert(f, 'rst')
except ImportError:
    print("warning: pypandoc module not found, could not convert Markdown to RST")
    read_md = lambda f: open(f, 'r').read()
import versioneer
import unittest

def bot_test():
    test_loader = unittest.TestLoader()
    test_suite ='tests', pattern='test_*.py')
github mbadry1 / / View on Github external
home_link + "",
        "01- Neural Networks and Deep Learning":
            home_link + "1-%20Neural%20Networks%20and%20Deep%20Learning/",
        "02- Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization":
            home_link + "2-%20Improving%20Deep%20Neural%20Networks/",
        "03- Structuring Machine Learning Projects":
            home_link + "3-%20Structuring%20Machine%20Learning%20Projects/",
        "04- Convolutional Neural Networks":
            home_link + "4-%20Convolutional%20Neural%20Networks/",
        "05- Sequence Models":
            home_link + "5-%20Sequence%20Models/",

    # Extracting pandoc version
    print("pandoc_version:", pypandoc.get_pandoc_version())
    print("pandoc_path:", pypandoc.get_pandoc_path())

    # Starting downloading and converting
    for key, value in marks_down_links.items():
        print("Converting", key)
            extra_args=['--pdf-engine=xelatex', '-V', 'geometry:margin=1.5cm'],
            outputfile=(key + ".pdf")
        print("Converting", key, "completed")
github burgerbecky / makeprojects / docs / View on Github external

    # Get the input and output file names
    source = os.path.join(os.path.dirname(working_directory), 'README.rst')
    dest = os.path.join(temp_dir, 'README.html')

    # Was the file already created and newer than the source?
    if burger.is_source_newer(source, dest):

        # Load pandoc if needed to do the conversion
        if hasattr(pypandoc, 'ensure_pandoc_installed'):
            # pylint: disable=E1101
            pypandoc.ensure_pandoc_installed(quiet=True, delete_installer=True)
            except OSError:
        pypandoc.convert_file(source, to='html', outputfile=dest)
    return 0