def latest(dirName):
files = get_files(dirName)
real_files = []
for f in files:
if f[-3:] != ".md":
files.remove(f)
latest_file = max(files, key=os.path.getctime)
me = meta.get_meta(latest_file)
latest_file = latest_file.replace("src/pages", "pages")
latest_file = latest_file.replace(".md", ".html")
return [latest_file, me]
def parser(md, file):
g = meta.get_meta(file)
md = re.sub("Title\: (.)+", "", md)
md = re.sub("Author\: (.)+", "", md)
md = re.sub("Date\: (.)+", "", md)
md = re.sub("Overview\: (.)+", "", md)
md = re.sub("(Img|Image)\: (.)+", "", md)
return [
g,
markdown.markdown(md,
extensions=[
'extra', 'admonition', 'codehilite', 'nl2br',
'wikilinks', 'fenced_code'
])
]
def create_section(base, files):
section = """"""
for file in files:
m = meta.get_meta(base + file)
f = file.replace(".md", ".html")
section += f"""
<section class="content">
<div class="bg-img" style="background: url({m[4]});"></div>
<h2><a href="{f}">{m[0]}</a></h2>
<p>{m[1]} - {m[2]}</p>
<p>{m[3]}</p>
</section>
"""
return section
def ave():
start = time()
score = 0.7111
xx = list(range(469, 473)) #+[222,223,225,227,231]
#xx = [372,373,374]
paths = get_meta_paths(xx)
Xt, s = get_meta(paths, 'sub')
y = np.mean(Xt, axis=1)
assert len(y) == s.shape[0]
s[YCOL] = y
s.to_csv('sub_meta.csv.gz', index=False,
compression='gzip') #,float_format='%.4f')
duration = time() - start
write_log(duration,
score,
'meta search ng %s' % (str(xx)),
mfiles=['sub_meta.csv.gz'])
def get_meta():
return meta.get_meta()
# (exactly as they are found from exifread)
tag_set = ("Image ImageDescription, Image Orientation, "
"Image XResolution, Image YResolution, "
"Image ResolutionUnit, Image Software, "
"Image DateTime, EXIF ExposureTime, EXIF FNumber, "
"EXIF ExposureProgram, EXIF ISOSpeedRatings, "
"EXIF ExifVersion, EXIF ComponentsConfiguration, "
"EXIF CompressedBitsPerPixel, "
"EXIF ShutterSpeedValue, "
"EXIF ApertureValue, EXIF ExposureBiasValue, "
"EXIF MaxApertureValue, "
"EXIF MeteringMode, EXIF Flash")
# from the single-value dict, get the total and metatags pair
# then clean the data
(total, meta), = m.get_meta(in_dir, tag_set, q_dir, cpus).items()
values = cleaned_meta(meta)
# list of the exif tags
cols = tags.split(',')
# current buffer size
i = 0
# count the number of times the buffer is dumped erroneously
buffer_dumps = 0
# the types to be converted and fitted to the right formats
timestamps = ["DateTime"]
ints = ["ImageDescription", "XResolution", "YResolution"]
floats = ["ExposureTime",
"FNumber",
"CompressedBitsPerPixel",
"ShutterSpeedValue",