def test_codestr2rst():
"""Test the correct translation of a code block into rst"""
output = sg.codestr2rst('print("hello world")')
reference = """
.. code-block:: python
print("hello world")"""
assert_equal(reference, output)
def test_codestr2rst():
"""Test the correct translation of a code block into rst"""
output = sg.codestr2rst('print("hello world")')
reference = """
.. code-block:: python
print("hello world")"""
assert_equal(reference, output)
def _create_tutorial_section(fname, src_dir, target_dir):
if not os.path.exists(target_dir):
os.makedirs(target_dir)
src_file = os.path.normpath(os.path.join(src_dir, fname))
# Check if the same tutorial script has been already run
md5_file = os.path.join(target_dir, f"{fname}.md5")
if _md5sum_is_current(src_file, md5_file):
return
file_conf, script_blocks = parser.split_code_and_text_blocks(src_file)
# Remove *.py suffix
base_image_name = os.path.splitext(fname)[0]
image_path_template = os.path.join(target_dir,
base_image_name + "_{0:02}.png")
script_vars = {
"execute_script": True,
"image_path_iterator": scrapers.ImagePathIterator(image_path_template),
"src_file": src_file,
"memory_delta": [],
}
tutorial_globals = {"__doc__": "", "__name__": "__main__"}
compiler = codeop.Compile()
content_rst = ""
for block_label, block_content, line_no in script_blocks:
if block_label == "code":
# Run code and save output images
code_output = genrst.execute_code_block(
compiler=compiler,
block=(block_label, block_content, line_no),
example_globals=tutorial_globals,
script_vars=script_vars,
gallery_conf={
"abort_on_example_error": True,
"src_dir": ".",
"execute_script": True,
"show_memory": False,
"image_scrapers": (scrapers.matplotlib_scraper, ),
})
content_rst += genrst.codestr2rst(block_content,
lineno=None) + "\n"
content_rst += code_output
else:
content_rst += block_content + "\n\n"
with open(os.path.join(target_dir, f"{base_image_name}.rst"), "w") as file:
file.write(content_rst)
# Write checksum of file to avoid unnecessary rerun
with open(md5_file, "w") as file:
file.write(genrst.get_md5sum(src_file))
def _create_tutorial_section(fname, src_dir, target_dir):
if not os.path.exists(target_dir):
os.makedirs(target_dir)
src_file = os.path.normpath(os.path.join(src_dir, fname))
# Check if the same tutorial script has been already run
md5_file = os.path.join(target_dir, f"{fname}.md5")
if _md5sum_is_current(src_file, md5_file):
return
file_conf, script_blocks = parser.split_code_and_text_blocks(src_file)
# Remove *.py suffix
base_image_name = os.path.splitext(fname)[0]
image_path_template = os.path.join(target_dir,
base_image_name+"_{0:02}.png")
block_vars = {'execute_script': True, 'fig_count': 0,
'image_path': image_path_template, 'src_file': src_file}
tutorial_globals = {
"__doc__": "",
"__name__": "__main__"
}
compiler = codeop.Compile()
content_rst = ""
for block_label, block_content, line_no in script_blocks:
if block_label == 'code':
# Run code and save output images
code_output, rtime = genrst.execute_code_block(
compiler=compiler, src_file=src_file, code_block=block_content,
lineno=line_no, example_globals=tutorial_globals,
block_vars=block_vars,
gallery_conf = {"abort_on_example_error": True, "src_dir":"."}
)
content_rst += genrst.codestr2rst(
block_content, lineno=None
) + "\n"
content_rst += code_output
else:
content_rst += block_content + "\n\n"
with open(os.path.join(target_dir, f"{base_image_name}.rst"), "w") as file:
file.write(content_rst)
# Write checksum of file to avoid unnecessary rerun
with open(md5_file, "w") as file:
file.write(genrst.get_md5sum(src_file))
def _create_tutorial_section(fname, src_dir, target_dir):
if not os.path.exists(target_dir):
os.makedirs(target_dir)
src_file = os.path.normpath(os.path.join(src_dir, fname))
# Check if the same tutorial script has been already run
md5_file = os.path.join(target_dir, f"{fname}.md5")
if _md5sum_is_current(src_file, md5_file):
return
file_conf, script_blocks = parser.split_code_and_text_blocks(src_file)
# Remove *.py suffix
base_image_name = os.path.splitext(fname)[0]
# Locate file in tutorial target directory
abs_base_image_name = os.path.join(os.getcwd(), "tutorial", "target",
base_image_name)
image_path_template = abs_base_image_name + "_{0:02}.png"
fake_main = module_from_spec(spec_from_loader('__main__', None))
script_vars = {
"execute_script": True,
"image_path_iterator": scrapers.ImagePathIterator(image_path_template),
"src_file": src_file,
"memory_delta": [],
"fake_main": fake_main
}
tutorial_globals = fake_main.__dict__
tutorial_globals.update({
"__doc__": "",
})
gallery_conf = copy.deepcopy(DEFAULT_GALLERY_CONF)
gallery_conf.update({
"abort_on_example_error": True,
"src_dir": os.getcwd(),
"execute_script": True,
"inspect_global_variables": False,
"call_memory": (lambda func: (0., func())),
"image_scrapers": (scrapers.matplotlib_scraper, ),
})
compiler = codeop.Compile()
content_rst = ""
for block_label, block_content, line_no in script_blocks:
if block_label == "code":
# Run code and save output images
code_output = genrst.execute_code_block(
compiler=compiler,
block=(block_label, block_content, line_no),
example_globals=tutorial_globals,
script_vars=script_vars,
gallery_conf=gallery_conf)
content_rst += genrst.codestr2rst(block_content,
lineno=None) + "\n"
content_rst += code_output
else:
content_rst += block_content + "\n\n"
with open(os.path.join(target_dir, f"{base_image_name}.rst"), "w") as file:
file.write(content_rst)
# Write checksum of file to avoid unnecessary rerun
with open(md5_file, "w") as file:
file.write(genrst.get_md5sum(src_file))
