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bukun/TorCMS | torcms/script/tmplchecker/__init__.py | do_for_dir | def do_for_dir(inws, begin):
'''
do something in the directory.
'''
inws = os.path.abspath(inws)
for wroot, wdirs, wfiles in os.walk(inws):
for wfile in wfiles:
if wfile.endswith('.html'):
if 'autogen' in wroot:
continue
check_h... | python | def do_for_dir(inws, begin):
'''
do something in the directory.
'''
inws = os.path.abspath(inws)
for wroot, wdirs, wfiles in os.walk(inws):
for wfile in wfiles:
if wfile.endswith('.html'):
if 'autogen' in wroot:
continue
check_h... | [
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bukun/TorCMS | torcms/script/tmplchecker/__init__.py | run_checkit | def run_checkit(srws=None):
'''
do check it.
'''
begin = len(os.path.abspath('templates')) + 1
inws = os.path.abspath(os.getcwd())
if srws:
do_for_dir(srws[0], begin)
else:
do_for_dir(os.path.join(inws, 'templates'), begin)
DOT_OBJ.render('xxtmpl', view=True) | python | def run_checkit(srws=None):
'''
do check it.
'''
begin = len(os.path.abspath('templates')) + 1
inws = os.path.abspath(os.getcwd())
if srws:
do_for_dir(srws[0], begin)
else:
do_for_dir(os.path.join(inws, 'templates'), begin)
DOT_OBJ.render('xxtmpl', view=True) | [
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bukun/TorCMS | torcms/model/post2catalog_model.py | MPost2Catalog.query_all | def query_all():
'''
Query all the records from TabPost2Tag.
'''
recs = TabPost2Tag.select(
TabPost2Tag,
TabTag.kind.alias('tag_kind'),
).join(
TabTag,
on=(TabPost2Tag.tag_id == TabTag.uid)
)
return recs | python | def query_all():
'''
Query all the records from TabPost2Tag.
'''
recs = TabPost2Tag.select(
TabPost2Tag,
TabTag.kind.alias('tag_kind'),
).join(
TabTag,
on=(TabPost2Tag.tag_id == TabTag.uid)
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return recs | [
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bukun/TorCMS | torcms/model/post2catalog_model.py | MPost2Catalog.remove_relation | def remove_relation(post_id, tag_id):
'''
Delete the record of post 2 tag.
'''
entry = TabPost2Tag.delete().where(
(TabPost2Tag.post_id == post_id) &
(TabPost2Tag.tag_id == tag_id)
)
entry.execute()
MCategory.update_count(tag_id) | python | def remove_relation(post_id, tag_id):
'''
Delete the record of post 2 tag.
'''
entry = TabPost2Tag.delete().where(
(TabPost2Tag.post_id == post_id) &
(TabPost2Tag.tag_id == tag_id)
)
entry.execute()
MCategory.update_count(tag_id) | [
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bukun/TorCMS | torcms/model/post2catalog_model.py | MPost2Catalog.remove_tag | def remove_tag(tag_id):
'''
Delete the records of certain tag.
'''
entry = TabPost2Tag.delete().where(
TabPost2Tag.tag_id == tag_id
)
entry.execute() | python | def remove_tag(tag_id):
'''
Delete the records of certain tag.
'''
entry = TabPost2Tag.delete().where(
TabPost2Tag.tag_id == tag_id
)
entry.execute() | [
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bukun/TorCMS | torcms/model/post2catalog_model.py | MPost2Catalog.query_by_post | def query_by_post(postid):
'''
Query records by post.
'''
return TabPost2Tag.select().where(
TabPost2Tag.post_id == postid
).order_by(TabPost2Tag.order) | python | def query_by_post(postid):
'''
Query records by post.
'''
return TabPost2Tag.select().where(
TabPost2Tag.post_id == postid
).order_by(TabPost2Tag.order) | [
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bukun/TorCMS | torcms/model/post2catalog_model.py | MPost2Catalog.__get_by_info | def __get_by_info(post_id, catalog_id):
'''
Geo the record by post and catalog.
'''
recs = TabPost2Tag.select().where(
(TabPost2Tag.post_id == post_id) &
(TabPost2Tag.tag_id == catalog_id)
)
if recs.count() == 1:
return recs.get()
... | python | def __get_by_info(post_id, catalog_id):
'''
Geo the record by post and catalog.
'''
recs = TabPost2Tag.select().where(
(TabPost2Tag.post_id == post_id) &
(TabPost2Tag.tag_id == catalog_id)
)
if recs.count() == 1:
return recs.get()
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bukun/TorCMS | torcms/model/post2catalog_model.py | MPost2Catalog.query_count | def query_count():
'''
The count of post2tag.
'''
recs = TabPost2Tag.select(
TabPost2Tag.tag_id,
peewee.fn.COUNT(TabPost2Tag.tag_id).alias('num')
).group_by(
TabPost2Tag.tag_id
)
return recs | python | def query_count():
'''
The count of post2tag.
'''
recs = TabPost2Tag.select(
TabPost2Tag.tag_id,
peewee.fn.COUNT(TabPost2Tag.tag_id).alias('num')
).group_by(
TabPost2Tag.tag_id
)
return recs | [
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bukun/TorCMS | torcms/model/post2catalog_model.py | MPost2Catalog.update_field | def update_field(uid, post_id=None, tag_id=None, par_id=None):
'''
Update the field of post2tag.
'''
if post_id:
entry = TabPost2Tag.update(
post_id=post_id
).where(TabPost2Tag.uid == uid)
entry.execute()
if tag_id:
... | python | def update_field(uid, post_id=None, tag_id=None, par_id=None):
'''
Update the field of post2tag.
'''
if post_id:
entry = TabPost2Tag.update(
post_id=post_id
).where(TabPost2Tag.uid == uid)
entry.execute()
if tag_id:
... | [
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bukun/TorCMS | torcms/model/post2catalog_model.py | MPost2Catalog.add_record | def add_record(post_id, catalog_id, order=0):
'''
Create the record of post 2 tag, and update the count in g_tag.
'''
rec = MPost2Catalog.__get_by_info(post_id, catalog_id)
if rec:
entry = TabPost2Tag.update(
order=order,
# For migrati... | python | def add_record(post_id, catalog_id, order=0):
'''
Create the record of post 2 tag, and update the count in g_tag.
'''
rec = MPost2Catalog.__get_by_info(post_id, catalog_id)
if rec:
entry = TabPost2Tag.update(
order=order,
# For migrati... | [
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bukun/TorCMS | torcms/model/post2catalog_model.py | MPost2Catalog.count_of_certain_category | def count_of_certain_category(cat_id, tag=''):
'''
Get the count of certain category.
'''
if cat_id.endswith('00'):
# The first level category, using the code bellow.
cat_con = TabPost2Tag.par_id == cat_id
else:
cat_con = TabPost2Tag.tag_id ==... | python | def count_of_certain_category(cat_id, tag=''):
'''
Get the count of certain category.
'''
if cat_id.endswith('00'):
# The first level category, using the code bellow.
cat_con = TabPost2Tag.par_id == cat_id
else:
cat_con = TabPost2Tag.tag_id ==... | [
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bukun/TorCMS | torcms/model/post2catalog_model.py | MPost2Catalog.query_pager_by_slug | def query_pager_by_slug(slug, current_page_num=1, tag='', order=False):
'''
Query pager via category slug.
'''
cat_rec = MCategory.get_by_slug(slug)
if cat_rec:
cat_id = cat_rec.uid
else:
return None
# The flowing code is valid.
if... | python | def query_pager_by_slug(slug, current_page_num=1, tag='', order=False):
'''
Query pager via category slug.
'''
cat_rec = MCategory.get_by_slug(slug)
if cat_rec:
cat_id = cat_rec.uid
else:
return None
# The flowing code is valid.
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bukun/TorCMS | torcms/model/post2catalog_model.py | MPost2Catalog.query_by_entity_uid | def query_by_entity_uid(idd, kind=''):
'''
Query post2tag by certain post.
'''
if kind == '':
return TabPost2Tag.select(
TabPost2Tag,
TabTag.slug.alias('tag_slug'),
TabTag.name.alias('tag_name')
).join(
... | python | def query_by_entity_uid(idd, kind=''):
'''
Query post2tag by certain post.
'''
if kind == '':
return TabPost2Tag.select(
TabPost2Tag,
TabTag.slug.alias('tag_slug'),
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).join(
... | [
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bukun/TorCMS | torcms/model/post2catalog_model.py | MPost2Catalog.get_first_category | def get_first_category(app_uid):
'''
Get the first, as the uniqe category of post.
'''
recs = MPost2Catalog.query_by_entity_uid(app_uid).objects()
if recs.count() > 0:
return recs.get()
return None | python | def get_first_category(app_uid):
'''
Get the first, as the uniqe category of post.
'''
recs = MPost2Catalog.query_by_entity_uid(app_uid).objects()
if recs.count() > 0:
return recs.get()
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bukun/TorCMS | torcms/modules/info_modules.py | InfoCategory.render | def render(self, *args, **kwargs):
'''
fun(uid_with_str)
fun(uid_with_str, slug = val1, glyph = val2)
'''
uid_with_str = args[0]
slug = kwargs.get('slug', False)
with_title = kwargs.get('with_title', False)
glyph = kwargs.get('glyph', '')
kwd ... | python | def render(self, *args, **kwargs):
'''
fun(uid_with_str)
fun(uid_with_str, slug = val1, glyph = val2)
'''
uid_with_str = args[0]
slug = kwargs.get('slug', False)
with_title = kwargs.get('with_title', False)
glyph = kwargs.get('glyph', '')
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bukun/TorCMS | torcms/modules/info_modules.py | InforUserMost.render | def render(self, *args, **kwargs):
'''
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'''
user_name = kwargs.get('user_name', arg... | python | def render(self, *args, **kwargs):
'''
fun(user_name, kind)
fun(user_name, kind, num)
fun(user_name, kind, num, with_tag = val1, glyph = val2)
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bukun/TorCMS | torcms/modules/info_modules.py | InfoMostUsed.render_it | def render_it(self, *args, **kwargs):
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Render without userinfo.
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fun(kind, num, with_tag = val1, glyph = val2)
'''
kind = kwargs.get('kind', args[0])
num = kwargs.get('num', args[1] if len(args) > 1 else 6)
... | python | def render_it(self, *args, **kwargs):
'''
Render without userinfo.
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fun(kind, num, with_tag = val1)
fun(kind, num, with_tag = val1, glyph = val2)
'''
kind = kwargs.get('kind', args[0])
num = kwargs.get('num', args[1] if len(args) > 1 else 6)
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bukun/TorCMS | torcms/modules/info_modules.py | InfoRecentUsed.render_it | def render_it(self, kind, num, with_tag=False, glyph=''):
'''
render, no user logged in
'''
all_cats = MPost.query_recent(num, kind=kind)
kwd = {
'with_tag': with_tag,
'router': router_post[kind],
'glyph': glyph
}
return self.re... | python | def render_it(self, kind, num, with_tag=False, glyph=''):
'''
render, no user logged in
'''
all_cats = MPost.query_recent(num, kind=kind)
kwd = {
'with_tag': with_tag,
'router': router_post[kind],
'glyph': glyph
}
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bukun/TorCMS | torcms/modules/info_modules.py | InfoRecentUsed.render_user | def render_user(self, *args, **kwargs):
'''
render, with userinfo
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fun(kind, num, with_tag = val1)
fun(kind, num, with_tag = val1, user_id = val2)
fun(kind, num, with_tag = val1, user_id = val2, glyph = val3)
'''
kind = kwargs.get('kind', ar... | python | def render_user(self, *args, **kwargs):
'''
render, with userinfo
fun(kind, num)
fun(kind, num, with_tag = val1)
fun(kind, num, with_tag = val1, user_id = val2)
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bukun/TorCMS | torcms/handlers/link_handler.py | LinkHandler.recent | def recent(self):
'''
Recent links.
'''
kwd = {
'pager': '',
'title': '最近文档',
}
if self.is_p:
self.render('admin/link_ajax/link_list.html',
kwd=kwd,
view=MLink.query_link(20),
... | python | def recent(self):
'''
Recent links.
'''
kwd = {
'pager': '',
'title': '最近文档',
}
if self.is_p:
self.render('admin/link_ajax/link_list.html',
kwd=kwd,
view=MLink.query_link(20),
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bukun/TorCMS | torcms/handlers/link_handler.py | LinkHandler.to_add_link | def to_add_link(self, ):
'''
To add link
'''
if self.check_post_role()['ADD']:
pass
else:
return False
kwd = {
'pager': '',
'uid': '',
}
self.render('misc/link/link_add.html',
topmenu='',
... | python | def to_add_link(self, ):
'''
To add link
'''
if self.check_post_role()['ADD']:
pass
else:
return False
kwd = {
'pager': '',
'uid': '',
}
self.render('misc/link/link_add.html',
topmenu='',
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bukun/TorCMS | torcms/handlers/link_handler.py | LinkHandler.update | def update(self, uid):
'''
Update the link.
'''
if self.userinfo.role[1] >= '3':
pass
else:
return False
post_data = self.get_post_data()
post_data['user_name'] = self.get_current_user()
if self.is_p:
if MLink.update(u... | python | def update(self, uid):
'''
Update the link.
'''
if self.userinfo.role[1] >= '3':
pass
else:
return False
post_data = self.get_post_data()
post_data['user_name'] = self.get_current_user()
if self.is_p:
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bukun/TorCMS | torcms/handlers/link_handler.py | LinkHandler.to_modify | def to_modify(self, uid):
'''
Try to edit the link.
'''
if self.userinfo.role[1] >= '3':
pass
else:
return False
self.render('misc/link/link_edit.html',
kwd={},
postinfo=MLink.get_by_uid(uid),
... | python | def to_modify(self, uid):
'''
Try to edit the link.
'''
if self.userinfo.role[1] >= '3':
pass
else:
return False
self.render('misc/link/link_edit.html',
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bukun/TorCMS | torcms/handlers/link_handler.py | LinkHandler.viewit | def viewit(self, post_id):
'''
View the link.
'''
rec = MLink.get_by_uid(post_id)
if not rec:
kwd = {'info': '您要找的分类不存在。'}
self.render('misc/html/404.html', kwd=kwd)
return False
kwd = {
'pager': '',
'editable... | python | def viewit(self, post_id):
'''
View the link.
'''
rec = MLink.get_by_uid(post_id)
if not rec:
kwd = {'info': '您要找的分类不存在。'}
self.render('misc/html/404.html', kwd=kwd)
return False
kwd = {
'pager': '',
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bukun/TorCMS | torcms/handlers/link_handler.py | LinkHandler.p_user_add_link | def p_user_add_link(self):
'''
user add link.
'''
if self.check_post_role()['ADD']:
pass
else:
return False
post_data = self.get_post_data()
post_data['user_name'] = self.get_current_user()
cur_uid = tools.get_uudd(2)
whil... | python | def p_user_add_link(self):
'''
user add link.
'''
if self.check_post_role()['ADD']:
pass
else:
return False
post_data = self.get_post_data()
post_data['user_name'] = self.get_current_user()
cur_uid = tools.get_uudd(2)
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bukun/TorCMS | torcms/handlers/link_handler.py | LinkHandler.user_add_link | def user_add_link(self):
'''
Create link by user.
'''
if self.check_post_role()['ADD']:
pass
else:
return False
post_data = self.get_post_data()
post_data['user_name'] = self.get_current_user()
cur_uid = tools.get_uudd(2)
... | python | def user_add_link(self):
'''
Create link by user.
'''
if self.check_post_role()['ADD']:
pass
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return False
post_data = self.get_post_data()
post_data['user_name'] = self.get_current_user()
cur_uid = tools.get_uudd(2)
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bukun/TorCMS | torcms/handlers/link_handler.py | LinkHandler.delete_by_id | def delete_by_id(self, del_id):
'''
Delete a link by id.
'''
if self.check_post_role()['DELETE']:
pass
else:
return False
if self.is_p:
if MLink.delete(del_id):
output = {'del_link': 1}
else:
... | python | def delete_by_id(self, del_id):
'''
Delete a link by id.
'''
if self.check_post_role()['DELETE']:
pass
else:
return False
if self.is_p:
if MLink.delete(del_id):
output = {'del_link': 1}
else:
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bukun/TorCMS | torcms/model/rating_model.py | MRating.get_rating | def get_rating(postid, userid):
'''
Get the rating of certain post and user.
'''
try:
recs = TabRating.select().where(
(TabRating.post_id == postid) & (TabRating.user_id == userid)
)
except:
return False
if recs.count() ... | python | def get_rating(postid, userid):
'''
Get the rating of certain post and user.
'''
try:
recs = TabRating.select().where(
(TabRating.post_id == postid) & (TabRating.user_id == userid)
)
except:
return False
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bukun/TorCMS | torcms/model/rating_model.py | MRating.update | def update(postid, userid, rating):
'''
Update the rating of certain post and user.
The record will be created if no record exists.
'''
rating_recs = TabRating.select().where(
(TabRating.post_id == postid) & (TabRating.user_id == userid)
)
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'''
Update the rating of certain post and user.
The record will be created if no record exists.
'''
rating_recs = TabRating.select().where(
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bukun/TorCMS | torcms/model/rating_model.py | MRating.__update_rating | def __update_rating(uid, rating):
'''
Update rating.
'''
entry = TabRating.update(
rating=rating
).where(TabRating.uid == uid)
entry.execute() | python | def __update_rating(uid, rating):
'''
Update rating.
'''
entry = TabRating.update(
rating=rating
).where(TabRating.uid == uid)
entry.execute() | [
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bukun/TorCMS | torcms/model/rating_model.py | MRating.__insert_data | def __insert_data(postid, userid, rating):
'''
Inert new record.
'''
uid = tools.get_uuid()
TabRating.create(
uid=uid,
post_id=postid,
user_id=userid,
rating=rating,
timestamp=tools.timestamp(),
)
return ... | python | def __insert_data(postid, userid, rating):
'''
Inert new record.
'''
uid = tools.get_uuid()
TabRating.create(
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post_id=postid,
user_id=userid,
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timestamp=tools.timestamp(),
)
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bukun/TorCMS | helper_scripts/script_meta_xlsx_import.py | update_category | def update_category(uid, postdata, kwargs):
'''
Update the category of the post.
'''
catid = kwargs['catid'] if ('catid' in kwargs and MCategory.get_by_uid(kwargs['catid'])) else None
post_data = postdata
current_infos = MPost2Catalog.query_by_entity_uid(uid, kind='').objects()
new_catego... | python | def update_category(uid, postdata, kwargs):
'''
Update the category of the post.
'''
catid = kwargs['catid'] if ('catid' in kwargs and MCategory.get_by_uid(kwargs['catid'])) else None
post_data = postdata
current_infos = MPost2Catalog.query_by_entity_uid(uid, kind='').objects()
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bukun/TorCMS | ext_script/command.py | entry | def entry(argv):
'''
Command entry
'''
command_dic = {
'init': run_init,
}
try:
# 这里的 h 就表示该选项无参数，i:表示 i 选项后需要有参数
opts, args = getopt.getopt(argv, "hi:")
except getopt.GetoptError:
print('Error: helper.py -i cmd')
sys.exit(2)
for opt, arg in opt... | python | def entry(argv):
'''
Command entry
'''
command_dic = {
'init': run_init,
}
try:
# 这里的 h 就表示该选项无参数，i:表示 i 选项后需要有参数
opts, args = getopt.getopt(argv, "hi:")
except getopt.GetoptError:
print('Error: helper.py -i cmd')
sys.exit(2)
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bukun/TorCMS | torcms/model/relation_model.py | MRelation.add_relation | def add_relation(app_f, app_t, weight=1):
'''
Adding relation between two posts.
'''
recs = TabRel.select().where(
(TabRel.post_f_id == app_f) & (TabRel.post_t_id == app_t)
)
if recs.count() > 1:
for record in recs:
MRelation.delete... | python | def add_relation(app_f, app_t, weight=1):
'''
Adding relation between two posts.
'''
recs = TabRel.select().where(
(TabRel.post_f_id == app_f) & (TabRel.post_t_id == app_t)
)
if recs.count() > 1:
for record in recs:
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bukun/TorCMS | torcms/model/relation_model.py | MRelation.get_app_relations | def get_app_relations(app_id, num=20, kind='1'):
'''
The the related infors.
'''
info_tag = MInfor2Catalog.get_first_category(app_id)
if info_tag:
return TabPost2Tag.select(
TabPost2Tag,
TabPost.title.alias('post_title'),
... | python | def get_app_relations(app_id, num=20, kind='1'):
'''
The the related infors.
'''
info_tag = MInfor2Catalog.get_first_category(app_id)
if info_tag:
return TabPost2Tag.select(
TabPost2Tag,
TabPost.title.alias('post_title'),
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bukun/TorCMS | torcms/handlers/label_handler.py | LabelHandler.get | def get(self, *args, **kwargs):
'''
/label/s/view
'''
url_arr = self.parse_url(args[0])
if len(url_arr) == 2:
if url_arr[0] == 'remove':
self.remove_redis_keyword(url_arr[1])
else:
self.list(url_arr[0], url_arr[1])
... | python | def get(self, *args, **kwargs):
'''
/label/s/view
'''
url_arr = self.parse_url(args[0])
if len(url_arr) == 2:
if url_arr[0] == 'remove':
self.remove_redis_keyword(url_arr[1])
else:
self.list(url_arr[0], url_arr[1])
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bukun/TorCMS | torcms/handlers/label_handler.py | LabelHandler.remove_redis_keyword | def remove_redis_keyword(self, keyword):
'''
Remove the keyword for redis.
'''
redisvr.srem(CMS_CFG['redis_kw'] + self.userinfo.user_name, keyword)
return json.dump({}, self) | python | def remove_redis_keyword(self, keyword):
'''
Remove the keyword for redis.
'''
redisvr.srem(CMS_CFG['redis_kw'] + self.userinfo.user_name, keyword)
return json.dump({}, self) | [
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bukun/TorCMS | torcms/handlers/label_handler.py | LabelHandler.list | def list(self, kind, tag_slug, cur_p=''):
'''
根据 cat_handler.py 中的 def view_cat_new(self, cat_slug, cur_p = '')
'''
# 下面用来使用关键字过滤信息，如果网站信息量不是很大不要开启
# Todo:
# if self.get_current_user():
# redisvr.sadd(config.redis_kw + self.userinfo.user_name, tag_slug)
... | python | def list(self, kind, tag_slug, cur_p=''):
'''
根据 cat_handler.py 中的 def view_cat_new(self, cat_slug, cur_p = '')
'''
# 下面用来使用关键字过滤信息，如果网站信息量不是很大不要开启
# Todo:
# if self.get_current_user():
# redisvr.sadd(config.redis_kw + self.userinfo.user_name, tag_slug)
... | [
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bukun/TorCMS | torcms/handlers/label_handler.py | LabelHandler.gen_pager | def gen_pager(self, kind, cat_slug, page_num, current):
'''
cat_slug 分类
page_num 页面总数
current 当前页面
'''
if page_num == 1:
return ''
pager_shouye = '''<li class="{0}"> <a href="/label/{1}/{2}"><< 首页</a>
</li>'''.format(
'hidd... | python | def gen_pager(self, kind, cat_slug, page_num, current):
'''
cat_slug 分类
page_num 页面总数
current 当前页面
'''
if page_num == 1:
return ''
pager_shouye = '''<li class="{0}"> <a href="/label/{1}/{2}"><< 首页</a>
</li>'''.format(
'hidd... | [
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page_num 页面总数
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bukun/TorCMS | torcms/script/script_funcs.py | build_directory | def build_directory():
'''
Build the directory for Whoosh database, and locale.
'''
if os.path.exists('locale'):
pass
else:
os.mkdir('locale')
if os.path.exists(WHOOSH_DB_DIR):
pass
else:
os.makedirs(WHOOSH_DB_DIR) | python | def build_directory():
'''
Build the directory for Whoosh database, and locale.
'''
if os.path.exists('locale'):
pass
else:
os.mkdir('locale')
if os.path.exists(WHOOSH_DB_DIR):
pass
else:
os.makedirs(WHOOSH_DB_DIR) | [
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bukun/TorCMS | torcms/script/script_funcs.py | run_check_kind | def run_check_kind(_):
'''
Running the script.
'''
for kindv in router_post:
for rec_cat in MCategory.query_all(kind=kindv):
catid = rec_cat.uid
catinfo = MCategory.get_by_uid(catid)
for rec_post2tag in MPost2Catalog.query_by_catid(catid):
post... | python | def run_check_kind(_):
'''
Running the script.
'''
for kindv in router_post:
for rec_cat in MCategory.query_all(kind=kindv):
catid = rec_cat.uid
catinfo = MCategory.get_by_uid(catid)
for rec_post2tag in MPost2Catalog.query_by_catid(catid):
post... | [
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bukun/TorCMS | torcms/script/script_funcs.py | run_create_admin | def run_create_admin(*args):
'''
creating the default administrator.
'''
post_data = {
'user_name': 'giser',
'user_email': 'giser@osgeo.cn',
'user_pass': '131322',
'role': '3300',
}
if MUser.get_by_name(post_data['user_name']):
print('User {user_name} alre... | python | def run_create_admin(*args):
'''
creating the default administrator.
'''
post_data = {
'user_name': 'giser',
'user_email': 'giser@osgeo.cn',
'user_pass': '131322',
'role': '3300',
}
if MUser.get_by_name(post_data['user_name']):
print('User {user_name} alre... | [
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bukun/TorCMS | torcms/script/script_funcs.py | run_update_cat | def run_update_cat(_):
'''
Update the catagery.
'''
recs = MPost2Catalog.query_all().objects()
for rec in recs:
if rec.tag_kind != 'z':
print('-' * 40)
print(rec.uid)
print(rec.tag_id)
print(rec.par_id)
MPost2Catalog.update_field(r... | python | def run_update_cat(_):
'''
Update the catagery.
'''
recs = MPost2Catalog.query_all().objects()
for rec in recs:
if rec.tag_kind != 'z':
print('-' * 40)
print(rec.uid)
print(rec.tag_id)
print(rec.par_id)
MPost2Catalog.update_field(r... | [
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bukun/TorCMS | torcms/handlers/rating_handler.py | RatingHandler.update_post | def update_post(self, postid):
'''
The rating of Post should be updaed if the count is greater than 10
'''
voted_recs = MRating.query_by_post(postid)
if voted_recs.count() > 10:
rating = MRating.query_average_rating(postid)
else:
rating = 5
... | python | def update_post(self, postid):
'''
The rating of Post should be updaed if the count is greater than 10
'''
voted_recs = MRating.query_by_post(postid)
if voted_recs.count() > 10:
rating = MRating.query_average_rating(postid)
else:
rating = 5
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bukun/TorCMS | torcms/handlers/rating_handler.py | RatingHandler.update_rating | def update_rating(self, postid):
'''
only the used who logged in would voting.
'''
post_data = self.get_post_data()
rating = float(post_data['rating'])
postinfo = MPost.get_by_uid(postid)
if postinfo and self.userinfo:
MRating.update(postinfo.uid, self... | python | def update_rating(self, postid):
'''
only the used who logged in would voting.
'''
post_data = self.get_post_data()
rating = float(post_data['rating'])
postinfo = MPost.get_by_uid(postid)
if postinfo and self.userinfo:
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bukun/TorCMS | torcms/script/script_review.py | __get_diff_recent | def __get_diff_recent():
'''
Generate the difference of posts. recently.
'''
diff_str = ''
for key in router_post:
recent_posts = MPost.query_recent_edited(tools.timestamp() - TIME_LIMIT, kind=key)
for recent_post in recent_posts:
hist_rec = MPostHist.get_last(recent_pos... | python | def __get_diff_recent():
'''
Generate the difference of posts. recently.
'''
diff_str = ''
for key in router_post:
recent_posts = MPost.query_recent_edited(tools.timestamp() - TIME_LIMIT, kind=key)
for recent_post in recent_posts:
hist_rec = MPostHist.get_last(recent_pos... | [
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bukun/TorCMS | torcms/script/script_review.py | __get_wiki_review | def __get_wiki_review(email_cnt, idx):
'''
Review for wikis.
'''
recent_posts = MWiki.query_recent_edited(tools.timestamp() - TIME_LIMIT, kind='2')
for recent_post in recent_posts:
hist_rec = MWikiHist.get_last(recent_post.uid)
if hist_rec:
foo_str = '''
... | python | def __get_wiki_review(email_cnt, idx):
'''
Review for wikis.
'''
recent_posts = MWiki.query_recent_edited(tools.timestamp() - TIME_LIMIT, kind='2')
for recent_post in recent_posts:
hist_rec = MWikiHist.get_last(recent_post.uid)
if hist_rec:
foo_str = '''
... | [
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bukun/TorCMS | torcms/script/script_review.py | __get_post_review | def __get_post_review(email_cnt, idx):
'''
Review for posts.
'''
for key in router_post:
recent_posts = MPost.query_recent_edited(tools.timestamp() - TIME_LIMIT, kind=key)
for recent_post in recent_posts:
hist_rec = MPostHist.get_last(recent_post.uid)
if hist_rec:... | python | def __get_post_review(email_cnt, idx):
'''
Review for posts.
'''
for key in router_post:
recent_posts = MPost.query_recent_edited(tools.timestamp() - TIME_LIMIT, kind=key)
for recent_post in recent_posts:
hist_rec = MPostHist.get_last(recent_post.uid)
if hist_rec:... | [
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bukun/TorCMS | torcms/script/script_review.py | run_review | def run_review(*args):
'''
Get the difference of recents modification, and send the Email.
For: wiki, page, and post.
'''
email_cnt = '''<html><head><meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<title></title>
<style type="text/css">
table.diff {font-family:C... | python | def run_review(*args):
'''
Get the difference of recents modification, and send the Email.
For: wiki, page, and post.
'''
email_cnt = '''<html><head><meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
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bukun/TorCMS | torcms/model/category_model.py | MCategory.get_qian2 | def get_qian2(qian2):
'''
用于首页。根据前两位，找到所有的大类与小类。
:param qian2: 分类id的前两位
:return: 数组，包含了找到的分类
'''
return TabTag.select().where(
TabTag.uid.startswith(qian2)
).order_by(TabTag.order) | python | def get_qian2(qian2):
'''
用于首页。根据前两位，找到所有的大类与小类。
:param qian2: 分类id的前两位
:return: 数组，包含了找到的分类
'''
return TabTag.select().where(
TabTag.uid.startswith(qian2)
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bukun/TorCMS | torcms/model/category_model.py | MCategory.query_all | def query_all(kind='1', by_count=False, by_order=True):
'''
Qeury all the categories, order by count or defined order.
'''
if by_count:
recs = TabTag.select().where(TabTag.kind == kind).order_by(TabTag.count.desc())
elif by_order:
recs = TabTag.select().wh... | python | def query_all(kind='1', by_count=False, by_order=True):
'''
Qeury all the categories, order by count or defined order.
'''
if by_count:
recs = TabTag.select().where(TabTag.kind == kind).order_by(TabTag.count.desc())
elif by_order:
recs = TabTag.select().wh... | [
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bukun/TorCMS | torcms/model/category_model.py | MCategory.query_field_count | def query_field_count(limit_num, kind='1'):
'''
Query the posts count of certain category.
'''
return TabTag.select().where(
TabTag.kind == kind
).order_by(
TabTag.count.desc()
).limit(limit_num) | python | def query_field_count(limit_num, kind='1'):
'''
Query the posts count of certain category.
'''
return TabTag.select().where(
TabTag.kind == kind
).order_by(
TabTag.count.desc()
).limit(limit_num) | [
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bukun/TorCMS | torcms/model/category_model.py | MCategory.get_by_slug | def get_by_slug(slug):
'''
return the category record .
'''
rec = TabTag.select().where(TabTag.slug == slug)
if rec.count() > 0:
return rec.get()
return None | python | def get_by_slug(slug):
'''
return the category record .
'''
rec = TabTag.select().where(TabTag.slug == slug)
if rec.count() > 0:
return rec.get()
return None | [
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bukun/TorCMS | torcms/model/category_model.py | MCategory.update_count | def update_count(cat_id):
'''
Update the count of certain category.
'''
# Todo: the record not valid should not be counted.
entry2 = TabTag.update(
count=TabPost2Tag.select().where(
TabPost2Tag.tag_id == cat_id
).count()
).where(Tab... | python | def update_count(cat_id):
'''
Update the count of certain category.
'''
# Todo: the record not valid should not be counted.
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bukun/TorCMS | torcms/model/category_model.py | MCategory.update | def update(uid, post_data):
'''
Update the category.
'''
raw_rec = TabTag.get(TabTag.uid == uid)
entry = TabTag.update(
name=post_data['name'] if 'name' in post_data else raw_rec.name,
slug=post_data['slug'] if 'slug' in post_data else raw_rec.slug,
... | python | def update(uid, post_data):
'''
Update the category.
'''
raw_rec = TabTag.get(TabTag.uid == uid)
entry = TabTag.update(
name=post_data['name'] if 'name' in post_data else raw_rec.name,
slug=post_data['slug'] if 'slug' in post_data else raw_rec.slug,
... | [
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bukun/TorCMS | torcms/model/category_model.py | MCategory.add_or_update | def add_or_update(uid, post_data):
'''
Add or update the data by the given ID of post.
'''
catinfo = MCategory.get_by_uid(uid)
if catinfo:
MCategory.update(uid, post_data)
else:
TabTag.create(
uid=uid,
name=post_data... | python | def add_or_update(uid, post_data):
'''
Add or update the data by the given ID of post.
'''
catinfo = MCategory.get_by_uid(uid)
if catinfo:
MCategory.update(uid, post_data)
else:
TabTag.create(
uid=uid,
name=post_data... | [
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bukun/TorCMS | torcms/handlers/category_handler.py | CategoryAjaxHandler.list_catalog | def list_catalog(self, kind):
'''
listing the category.
'''
kwd = {
'pager': '',
'title': '最近文档',
'kind': kind,
'router': config.router_post[kind]
}
self.render('admin/{0}/category_list.html'.format(self.tmpl_router),
... | python | def list_catalog(self, kind):
'''
listing the category.
'''
kwd = {
'pager': '',
'title': '最近文档',
'kind': kind,
'router': config.router_post[kind]
}
self.render('admin/{0}/category_list.html'.format(self.tmpl_router),
... | [
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bukun/TorCMS | torcms/handlers/post_list_handler.py | PostListHandler.recent | def recent(self, with_catalog=True, with_date=True):
'''
List posts that recent edited.
'''
kwd = {
'pager': '',
'title': 'Recent posts.',
'with_catalog': with_catalog,
'with_date': with_date,
}
self.render('list/post_list.h... | python | def recent(self, with_catalog=True, with_date=True):
'''
List posts that recent edited.
'''
kwd = {
'pager': '',
'title': 'Recent posts.',
'with_catalog': with_catalog,
'with_date': with_date,
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bukun/TorCMS | torcms/handlers/post_list_handler.py | PostListHandler.errcat | def errcat(self):
'''
List the posts to be modified.
'''
post_recs = MPost.query_random(limit=1000)
outrecs = []
errrecs = []
idx = 0
for postinfo in post_recs:
if idx > 16:
break
cat = MPost2Catalog.get_first_catego... | python | def errcat(self):
'''
List the posts to be modified.
'''
post_recs = MPost.query_random(limit=1000)
outrecs = []
errrecs = []
idx = 0
for postinfo in post_recs:
if idx > 16:
break
cat = MPost2Catalog.get_first_catego... | [
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bukun/TorCMS | torcms/handlers/post_list_handler.py | PostListHandler.refresh | def refresh(self):
'''
List the post of dated.
'''
kwd = {
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}
self.render('list/post_list.html',
kwd=kwd,
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... | python | def refresh(self):
'''
List the post of dated.
'''
kwd = {
'pager': '',
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bukun/TorCMS | torcms/script/autocrud/base_crud.py | build_dir | def build_dir():
'''
Build the directory used for templates.
'''
tag_arr = ['add', 'edit', 'view', 'list', 'infolist']
path_arr = [os.path.join(CRUD_PATH, x) for x in tag_arr]
for wpath in path_arr:
if os.path.exists(wpath):
continue
os.makedirs(wpath) | python | def build_dir():
'''
Build the directory used for templates.
'''
tag_arr = ['add', 'edit', 'view', 'list', 'infolist']
path_arr = [os.path.join(CRUD_PATH, x) for x in tag_arr]
for wpath in path_arr:
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bukun/TorCMS | torcms/model/reply_model.py | MReply.create_reply | def create_reply(post_data):
'''
Create the reply.
'''
uid = tools.get_uuid()
TabReply.create(
uid=uid,
post_id=post_data['post_id'],
user_name=post_data['user_name'],
user_id=post_data['user_id'],
timestamp=tools.timest... | python | def create_reply(post_data):
'''
Create the reply.
'''
uid = tools.get_uuid()
TabReply.create(
uid=uid,
post_id=post_data['post_id'],
user_name=post_data['user_name'],
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bukun/TorCMS | torcms/model/reply_model.py | MReply.query_by_post | def query_by_post(postid):
'''
Get reply list of certain post.
'''
return TabReply.select().where(
TabReply.post_id == postid
).order_by(TabReply.timestamp.desc()) | python | def query_by_post(postid):
'''
Get reply list of certain post.
'''
return TabReply.select().where(
TabReply.post_id == postid
).order_by(TabReply.timestamp.desc()) | [
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bukun/TorCMS | ext_script/autocrud/fetch_html_dic.py | __write_filter_dic | def __write_filter_dic(wk_sheet, column):
'''
return filter dic for certain column
'''
row1_val = wk_sheet['{0}1'.format(column)].value
row2_val = wk_sheet['{0}2'.format(column)].value
row3_val = wk_sheet['{0}3'.format(column)].value
row4_val = wk_sheet['{0}4'.format(column)].value
if r... | python | def __write_filter_dic(wk_sheet, column):
'''
return filter dic for certain column
'''
row1_val = wk_sheet['{0}1'.format(column)].value
row2_val = wk_sheet['{0}2'.format(column)].value
row3_val = wk_sheet['{0}3'.format(column)].value
row4_val = wk_sheet['{0}4'.format(column)].value
if r... | [
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bukun/TorCMS | torcms/model/wiki_hist_model.py | MWikiHist.get_last | def get_last(postid):
'''
Get the last wiki in history.
'''
recs = TabWikiHist.select().where(
TabWikiHist.wiki_id == postid
).order_by(TabWikiHist.time_update.desc())
return None if recs.count() == 0 else recs.get() | python | def get_last(postid):
'''
Get the last wiki in history.
'''
recs = TabWikiHist.select().where(
TabWikiHist.wiki_id == postid
).order_by(TabWikiHist.time_update.desc())
return None if recs.count() == 0 else recs.get() | [
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bukun/TorCMS | torcms/core/privilege.py | is_prived | def is_prived(usr_rule, def_rule):
'''
Compare between two role string.
'''
for iii in range(4):
if def_rule[iii] == '0':
continue
if usr_rule[iii] >= def_rule[iii]:
return True
return False | python | def is_prived(usr_rule, def_rule):
'''
Compare between two role string.
'''
for iii in range(4):
if def_rule[iii] == '0':
continue
if usr_rule[iii] >= def_rule[iii]:
return True
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bukun/TorCMS | torcms/core/privilege.py | auth_view | def auth_view(method):
'''
role for view.
'''
def wrapper(self, *args, **kwargs):
'''
wrapper.
'''
if ROLE_CFG['view'] == '':
return method(self, *args, **kwargs)
elif self.current_user:
if is_prived(self.userinfo.role, ROLE_CFG['view']):... | python | def auth_view(method):
'''
role for view.
'''
def wrapper(self, *args, **kwargs):
'''
wrapper.
'''
if ROLE_CFG['view'] == '':
return method(self, *args, **kwargs)
elif self.current_user:
if is_prived(self.userinfo.role, ROLE_CFG['view']):... | [
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bukun/TorCMS | torcms/script/script_drop_tabels.py | run_drop_tables | def run_drop_tables(_):
'''
Running the script.
'''
print('--')
drop_the_table(TabPost)
drop_the_table(TabTag)
drop_the_table(TabMember)
drop_the_table(TabWiki)
drop_the_table(TabLink)
drop_the_table(TabEntity)
drop_the_table(TabPostHist)
drop_the_table(TabWikiHist)
... | python | def run_drop_tables(_):
'''
Running the script.
'''
print('--')
drop_the_table(TabPost)
drop_the_table(TabTag)
drop_the_table(TabMember)
drop_the_table(TabWiki)
drop_the_table(TabLink)
drop_the_table(TabEntity)
drop_the_table(TabPostHist)
drop_the_table(TabWikiHist)
... | [
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shon/httpagentparser | httpagentparser/__init__.py | detect | def detect(agent, fill_none=False):
"""
fill_none: if name/version is not detected respective key is still added to the result with value None
"""
result = dict(platform=dict(name=None, version=None))
_suggested_detectors = []
for info_type in detectorshub:
detectors = _suggested_detect... | python | def detect(agent, fill_none=False):
"""
fill_none: if name/version is not detected respective key is still added to the result with value None
"""
result = dict(platform=dict(name=None, version=None))
_suggested_detectors = []
for info_type in detectorshub:
detectors = _suggested_detect... | [
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shon/httpagentparser | httpagentparser/__init__.py | simple_detect | def simple_detect(agent):
"""
-> (os, browser) # tuple of strings
"""
result = detect(agent)
os_list = []
if 'flavor' in result:
os_list.append(result['flavor']['name'])
if 'dist' in result:
os_list.append(result['dist']['name'])
if 'os' in result:
os_list.append(... | python | def simple_detect(agent):
"""
-> (os, browser) # tuple of strings
"""
result = detect(agent)
os_list = []
if 'flavor' in result:
os_list.append(result['flavor']['name'])
if 'dist' in result:
os_list.append(result['dist']['name'])
if 'os' in result:
os_list.append(... | [
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shon/httpagentparser | httpagentparser/__init__.py | DetectorBase.getVersion | def getVersion(self, agent, word):
"""
=> version string /None
"""
version_markers = self.version_markers if \
isinstance(self.version_markers[0], (list, tuple)) else [self.version_markers]
version_part = agent.split(word, 1)[-1]
for start, end in version_mark... | python | def getVersion(self, agent, word):
"""
=> version string /None
"""
version_markers = self.version_markers if \
isinstance(self.version_markers[0], (list, tuple)) else [self.version_markers]
version_part = agent.split(word, 1)[-1]
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ylogx/universal | universal/builder.py | compile_files | def compile_files(args, mem_test=False):
''' Copiles the files and runs memory tests
if needed.
PARAM args: list of files passed as CMD args
to be compiled.
PARAM mem_test: Weither to perform memory test ?
'''
for filename in args:
if not os.path.isfile(fi... | python | def compile_files(args, mem_test=False):
''' Copiles the files and runs memory tests
if needed.
PARAM args: list of files passed as CMD args
to be compiled.
PARAM mem_test: Weither to perform memory test ?
'''
for filename in args:
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ylogx/universal | universal/builder.py | build_and_run_file | def build_and_run_file(filename):
''' Builds and runs the filename specified
according to the extension
PARAM filename: name of file to build and run
'''
(directory, name, extension) = get_file_tuple(filename)
if extension == 'c':
print(" = = = = = = ", YELLOW, "GCC: Compiling " ... | python | def build_and_run_file(filename):
''' Builds and runs the filename specified
according to the extension
PARAM filename: name of file to build and run
'''
(directory, name, extension) = get_file_tuple(filename)
if extension == 'c':
print(" = = = = = = ", YELLOW, "GCC: Compiling " ... | [
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ylogx/universal | universal/util.py | check_exec_installed | def check_exec_installed(exec_list):
""" Check the required programs are
installed.
PARAM exec_list: list of programs to check
RETURN: True if all installed else False
"""
all_installed = True
for exe in exec_list:
if not is_tool(exe):
print("Executable: " + e... | python | def check_exec_installed(exec_list):
""" Check the required programs are
installed.
PARAM exec_list: list of programs to check
RETURN: True if all installed else False
"""
all_installed = True
for exe in exec_list:
if not is_tool(exe):
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ylogx/universal | universal/main.py | parse_known_args | def parse_known_args():
""" Parse command line arguments
"""
parser = ArgumentParser()
parser.add_argument("-l", "--loop", type=int, help="Loop every X seconds")
parser.add_argument('-V', '--version',
action='store_true',
dest='version',
... | python | def parse_known_args():
""" Parse command line arguments
"""
parser = ArgumentParser()
parser.add_argument("-l", "--loop", type=int, help="Loop every X seconds")
parser.add_argument('-V', '--version',
action='store_true',
dest='version',
... | [
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xieqihui/pandas-multiprocess | pandas_multiprocess/multiprocess.py | multi_process | def multi_process(func, data, num_process=None, verbose=True, **args):
'''Function to use multiprocessing to process pandas Dataframe.
This function applies a function on each row of the input DataFrame by
multiprocessing.
Args:
func (function): The function to apply on each row of the input
... | python | def multi_process(func, data, num_process=None, verbose=True, **args):
'''Function to use multiprocessing to process pandas Dataframe.
This function applies a function on each row of the input DataFrame by
multiprocessing.
Args:
func (function): The function to apply on each row of the input
... | [
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xieqihui/pandas-multiprocess | pandas_multiprocess/multiprocess.py | Consumer.run | def run(self):
'''Define the job of each process to run.
'''
while True:
next_task = self._task_queue.get()
# If there is any error, only consume data but not run the job
if self._error_queue.qsize() > 0:
self._task_queue.task_done()
... | python | def run(self):
'''Define the job of each process to run.
'''
while True:
next_task = self._task_queue.get()
# If there is any error, only consume data but not run the job
if self._error_queue.qsize() > 0:
self._task_queue.task_done()
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xieqihui/pandas-multiprocess | pandas_multiprocess/multiprocess.py | TaskTracker.run | def run(self):
'''Define the job of each process to run.
'''
if self.verbose:
pbar = tqdm(total=100)
while True:
task_remain = self._task_queue.qsize()
task_finished = int((float(self.total_task - task_remain) /
float(s... | python | def run(self):
'''Define the job of each process to run.
'''
if self.verbose:
pbar = tqdm(total=100)
while True:
task_remain = self._task_queue.qsize()
task_finished = int((float(self.total_task - task_remain) /
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xieqihui/pandas-multiprocess | examples/example.py | func | def func(data_row, wait):
''' A sample function
It takes 'wait' seconds to calculate the sum of each row
'''
time.sleep(wait)
data_row['sum'] = data_row['col_1'] + data_row['col_2']
return data_row | python | def func(data_row, wait):
''' A sample function
It takes 'wait' seconds to calculate the sum of each row
'''
time.sleep(wait)
data_row['sum'] = data_row['col_1'] + data_row['col_2']
return data_row | [
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BYU-Hydroinformatics/HydroErr | HydroErr/HydroErr.py | me | def me(simulated_array, observed_array, replace_nan=None, replace_inf=None,
remove_neg=False, remove_zero=False):
"""Compute the mean error of the simulated and observed data.
.. image:: /pictures/ME.png
**Range:** -inf < MAE < inf, data units, closer to zero is better, indicates bias.
**Notes... | python | def me(simulated_array, observed_array, replace_nan=None, replace_inf=None,
remove_neg=False, remove_zero=False):
"""Compute the mean error of the simulated and observed data.
.. image:: /pictures/ME.png
**Range:** -inf < MAE < inf, data units, closer to zero is better, indicates bias.
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BYU-Hydroinformatics/HydroErr | HydroErr/HydroErr.py | mae | def mae(simulated_array, observed_array, replace_nan=None, replace_inf=None,
remove_neg=False, remove_zero=False):
"""Compute the mean absolute error of the simulated and observed data.
.. image:: /pictures/MAE.png
**Range:** 0 ≤ MAE < inf, data units, smaller is better.
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remove_neg=False, remove_zero=False):
"""Compute the mean absolute error of the simulated and observed data.
.. image:: /pictures/MAE.png
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BYU-Hydroinformatics/HydroErr | HydroErr/HydroErr.py | mle | def mle(simulated_array, observed_array, replace_nan=None, replace_inf=None,
remove_neg=False, remove_zero=False):
"""
Compute the mean log error of the simulated and observed data.
.. image:: /pictures/MLE.png
**Range:** -inf < MLE < inf, data units, closer to zero is better.
**Notes** S... | python | def mle(simulated_array, observed_array, replace_nan=None, replace_inf=None,
remove_neg=False, remove_zero=False):
"""
Compute the mean log error of the simulated and observed data.
.. image:: /pictures/MLE.png
**Range:** -inf < MLE < inf, data units, closer to zero is better.
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.. image:: /pictures/MLE.png
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BYU-Hydroinformatics/HydroErr | HydroErr/HydroErr.py | mde | def mde(simulated_array, observed_array, replace_nan=None, replace_inf=None,
remove_neg=False, remove_zero=False):
"""
Compute the median error (MdE) between the simulated and observed data.
.. image:: /pictures/MdE.png
**Range** -inf < MdE < inf, closer to zero is better.
**Notes** This ... | python | def mde(simulated_array, observed_array, replace_nan=None, replace_inf=None,
remove_neg=False, remove_zero=False):
"""
Compute the median error (MdE) between the simulated and observed data.
.. image:: /pictures/MdE.png
**Range** -inf < MdE < inf, closer to zero is better.
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.. image:: /pictures/MdE.png
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BYU-Hydroinformatics/HydroErr | HydroErr/HydroErr.py | mdae | def mdae(simulated_array, observed_array, replace_nan=None, replace_inf=None,
remove_neg=False, remove_zero=False):
"""
Compute the median absolute error (MdAE) between the simulated and observed data.
.. image:: /pictures/MdAE.png
**Range** 0 ≤ MdAE < inf, closer to zero is better.
**No... | python | def mdae(simulated_array, observed_array, replace_nan=None, replace_inf=None,
remove_neg=False, remove_zero=False):
"""
Compute the median absolute error (MdAE) between the simulated and observed data.
.. image:: /pictures/MdAE.png
**Range** 0 ≤ MdAE < inf, closer to zero is better.
**No... | [
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.. image:: /pictures/MdAE.png
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BYU-Hydroinformatics/HydroErr | HydroErr/HydroErr.py | ed | def ed(simulated_array, observed_array, replace_nan=None, replace_inf=None,
remove_neg=False, remove_zero=False):
"""
Compute the Euclidean distance between predicted and observed values in vector space.
.. image:: /pictures/ED.png
**Range** 0 ≤ ED < inf, smaller is better.
**Notes** Also s... | python | def ed(simulated_array, observed_array, replace_nan=None, replace_inf=None,
remove_neg=False, remove_zero=False):
"""
Compute the Euclidean distance between predicted and observed values in vector space.
.. image:: /pictures/ED.png
**Range** 0 ≤ ED < inf, smaller is better.
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.. image:: /pictures/ED.png
**Range** 0 ≤ ED < inf, smaller is better.
**Notes** Also sometimes referred to as the L2-norm.
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BYU-Hydroinformatics/HydroErr | HydroErr/HydroErr.py | ned | def ned(simulated_array, observed_array, replace_nan=None, replace_inf=None,
remove_neg=False, remove_zero=False):
"""
Compute the normalized Euclidian distance between the simulated and observed data in vector
space.
.. image:: /pictures/NED.png
**Range** 0 ≤ NED < inf, smaller is better.... | python | def ned(simulated_array, observed_array, replace_nan=None, replace_inf=None,
remove_neg=False, remove_zero=False):
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Compute the normalized Euclidian distance between the simulated and observed data in vector
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.. image:: /pictures/NED.png
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.. image:: /pictures/NED.png
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BYU-Hydroinformatics/HydroErr | HydroErr/HydroErr.py | nrmse_range | def nrmse_range(simulated_array, observed_array, replace_nan=None, replace_inf=None,
remove_neg=False, remove_zero=False):
"""Compute the range normalized root mean square error between the simulated and observed data.
.. image:: /pictures/NRMSE_Range.png
**Range:** 0 ≤ NRMSE < inf.
*... | python | def nrmse_range(simulated_array, observed_array, replace_nan=None, replace_inf=None,
remove_neg=False, remove_zero=False):
"""Compute the range normalized root mean square error between the simulated and observed data.
.. image:: /pictures/NRMSE_Range.png
**Range:** 0 ≤ NRMSE < inf.
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BYU-Hydroinformatics/HydroErr | HydroErr/HydroErr.py | nrmse_mean | def nrmse_mean(simulated_array, observed_array, replace_nan=None, replace_inf=None,
remove_neg=False, remove_zero=False):
"""Compute the mean normalized root mean square error between the simulated and observed data.
.. image:: /pictures/NRMSE_Mean.png
**Range:** 0 ≤ NRMSE < inf.
**Not... | python | def nrmse_mean(simulated_array, observed_array, replace_nan=None, replace_inf=None,
remove_neg=False, remove_zero=False):
"""Compute the mean normalized root mean square error between the simulated and observed data.
.. image:: /pictures/NRMSE_Mean.png
**Range:** 0 ≤ NRMSE < inf.
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.. image:: /pictures/NRMSE_Mean.png
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BYU-Hydroinformatics/HydroErr | HydroErr/HydroErr.py | nrmse_iqr | def nrmse_iqr(simulated_array, observed_array, replace_nan=None, replace_inf=None,
remove_neg=False, remove_zero=False):
"""Compute the IQR normalized root mean square error between the simulated and observed data.
.. image:: /pictures/NRMSE_IQR.png
**Range:** 0 ≤ NRMSE < inf.
**Notes:*... | python | def nrmse_iqr(simulated_array, observed_array, replace_nan=None, replace_inf=None,
remove_neg=False, remove_zero=False):
"""Compute the IQR normalized root mean square error between the simulated and observed data.
.. image:: /pictures/NRMSE_IQR.png
**Range:** 0 ≤ NRMSE < inf.
**Notes:*... | [
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BYU-Hydroinformatics/HydroErr | HydroErr/HydroErr.py | mase | def mase(simulated_array, observed_array, m=1, replace_nan=None, replace_inf=None,
remove_neg=False, remove_zero=False):
"""Compute the mean absolute scaled error between the simulated and observed data.
.. image:: /pictures/MASE.png
**Range:**
**Notes:**
Parameters
----------
s... | python | def mase(simulated_array, observed_array, m=1, replace_nan=None, replace_inf=None,
remove_neg=False, remove_zero=False):
"""Compute the mean absolute scaled error between the simulated and observed data.
.. image:: /pictures/MASE.png
**Range:**
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BYU-Hydroinformatics/HydroErr | HydroErr/HydroErr.py | maape | def maape(simulated_array, observed_array, replace_nan=None, replace_inf=None,
remove_neg=False, remove_zero=False):
"""Compute the the Mean Arctangent Absolute Percentage Error (MAAPE).
.. image:: /pictures/MAAPE.png
**Range:** 0 ≤ MAAPE < π/2, does not indicate bias, smaller is better.
**... | python | def maape(simulated_array, observed_array, replace_nan=None, replace_inf=None,
remove_neg=False, remove_zero=False):
"""Compute the the Mean Arctangent Absolute Percentage Error (MAAPE).
.. image:: /pictures/MAAPE.png
**Range:** 0 ≤ MAAPE < π/2, does not indicate bias, smaller is better.
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.. image:: /pictures/MAAPE.png
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BYU-Hydroinformatics/HydroErr | HydroErr/HydroErr.py | drel | def drel(simulated_array, observed_array, replace_nan=None, replace_inf=None,
remove_neg=False, remove_zero=False):
"""Compute the the relative index of agreement (drel).
.. image:: /pictures/drel.png
**Range:** 0 ≤ drel < 1, does not indicate bias, larger is better.
**Notes:** Instead of ab... | python | def drel(simulated_array, observed_array, replace_nan=None, replace_inf=None,
remove_neg=False, remove_zero=False):
"""Compute the the relative index of agreement (drel).
.. image:: /pictures/drel.png
**Range:** 0 ≤ drel < 1, does not indicate bias, larger is better.
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.. image:: /pictures/drel.png
**Range:** 0 ≤ drel < 1, does not indicate bias, larger is better.
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BYU-Hydroinformatics/HydroErr | HydroErr/HydroErr.py | watt_m | def watt_m(simulated_array, observed_array, replace_nan=None, replace_inf=None,
remove_neg=False, remove_zero=False):
"""Compute Watterson's M (M).
.. image:: /pictures/M.png
**Range:** -1 ≤ M < 1, does not indicate bias, larger is better.
**Notes:**
Parameters
----------
simu... | python | def watt_m(simulated_array, observed_array, replace_nan=None, replace_inf=None,
remove_neg=False, remove_zero=False):
"""Compute Watterson's M (M).
.. image:: /pictures/M.png
**Range:** -1 ≤ M < 1, does not indicate bias, larger is better.
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.. image:: /pictures/M.png
**Range:** -1 ≤ M < 1, does not indicate bias, larger is better.
**Notes:**
Parameters
----------
simulated_array: one dimensional ndarray
An array of simulated data from the time series.
observed_array: one dimensional ndarr... | [
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BYU-Hydroinformatics/HydroErr | HydroErr/HydroErr.py | kge_2009 | def kge_2009(simulated_array, observed_array, s=(1, 1, 1), replace_nan=None,
replace_inf=None, remove_neg=False, remove_zero=False, return_all=False):
"""Compute the Kling-Gupta efficiency (2009).
.. image:: /pictures/KGE_2009.png
**Range:** -inf < KGE (2009) < 1, larger is better.
**Not... | python | def kge_2009(simulated_array, observed_array, s=(1, 1, 1), replace_nan=None,
replace_inf=None, remove_neg=False, remove_zero=False, return_all=False):
"""Compute the Kling-Gupta efficiency (2009).
.. image:: /pictures/KGE_2009.png
**Range:** -inf < KGE (2009) < 1, larger is better.
**Not... | [
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.. image:: /pictures/KGE_2009.png
**Range:** -inf < KGE (2009) < 1, larger is better.
**Notes:** Gupta et al. (2009) created this metric to demonstrate the relative importance of
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BYU-Hydroinformatics/HydroErr | HydroErr/HydroErr.py | sa | def sa(simulated_array, observed_array, replace_nan=None, replace_inf=None,
remove_neg=False, remove_zero=False):
"""Compute the Spectral Angle (SA).
.. image:: /pictures/SA.png
**Range:** -π/2 ≤ SA < π/2, closer to 0 is better.
**Notes:** The spectral angle metric measures the angle between t... | python | def sa(simulated_array, observed_array, replace_nan=None, replace_inf=None,
remove_neg=False, remove_zero=False):
"""Compute the Spectral Angle (SA).
.. image:: /pictures/SA.png
**Range:** -π/2 ≤ SA < π/2, closer to 0 is better.
**Notes:** The spectral angle metric measures the angle between t... | [
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.. image:: /pictures/SA.png
**Range:** -π/2 ≤ SA < π/2, closer to 0 is better.
**Notes:** The spectral angle metric measures the angle between the two vectors in hyperspace.
It indicates how well the shape of the two series match – not magnitude.
Parameters
-... | [
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BYU-Hydroinformatics/HydroErr | HydroErr/HydroErr.py | sc | def sc(simulated_array, observed_array, replace_nan=None, replace_inf=None,
remove_neg=False, remove_zero=False):
"""Compute the Spectral Correlation (SC).
.. image:: /pictures/SC.png
**Range:** -π/2 ≤ SA < π/2, closer to 0 is better.
**Notes:** The spectral correlation metric measures the ang... | python | def sc(simulated_array, observed_array, replace_nan=None, replace_inf=None,
remove_neg=False, remove_zero=False):
"""Compute the Spectral Correlation (SC).
.. image:: /pictures/SC.png
**Range:** -π/2 ≤ SA < π/2, closer to 0 is better.
**Notes:** The spectral correlation metric measures the ang... | [
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... | Compute the Spectral Correlation (SC).
.. image:: /pictures/SC.png
**Range:** -π/2 ≤ SA < π/2, closer to 0 is better.
**Notes:** The spectral correlation metric measures the angle between the two vectors in
hyperspace. It indicates how well the shape of the two series match – not magnitude.
Para... | [
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BYU-Hydroinformatics/HydroErr | HydroErr/HydroErr.py | sid | def sid(simulated_array, observed_array, replace_nan=None, replace_inf=None,
remove_neg=False, remove_zero=False):
"""Compute the Spectral Information Divergence (SID).
.. image:: /pictures/SID.png
**Range:** -π/2 ≤ SID < π/2, closer to 0 is better.
**Notes:** The spectral information diverge... | python | def sid(simulated_array, observed_array, replace_nan=None, replace_inf=None,
remove_neg=False, remove_zero=False):
"""Compute the Spectral Information Divergence (SID).
.. image:: /pictures/SID.png
**Range:** -π/2 ≤ SID < π/2, closer to 0 is better.
**Notes:** The spectral information diverge... | [
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.. image:: /pictures/SID.png
**Range:** -π/2 ≤ SID < π/2, closer to 0 is better.
**Notes:** The spectral information divergence measures the angle between the two vectors in
hyperspace. It indicates how well the shape of the two series match – not ma... | [
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BYU-Hydroinformatics/HydroErr | HydroErr/HydroErr.py | sga | def sga(simulated_array, observed_array, replace_nan=None, replace_inf=None,
remove_neg=False, remove_zero=False):
"""Compute the Spectral Gradient Angle (SGA).
.. image:: /pictures/SGA.png
**Range:** -π/2 ≤ SID < π/2, closer to 0 is better.
**Notes:** The spectral gradient angle measures the... | python | def sga(simulated_array, observed_array, replace_nan=None, replace_inf=None,
remove_neg=False, remove_zero=False):
"""Compute the Spectral Gradient Angle (SGA).
.. image:: /pictures/SGA.png
**Range:** -π/2 ≤ SID < π/2, closer to 0 is better.
**Notes:** The spectral gradient angle measures the... | [
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"observed_array",... | Compute the Spectral Gradient Angle (SGA).
.. image:: /pictures/SGA.png
**Range:** -π/2 ≤ SID < π/2, closer to 0 is better.
**Notes:** The spectral gradient angle measures the angle between the two vectors in
hyperspace. It indicates how well the shape of the two series match – not magnitude.
SG ... | [
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BYU-Hydroinformatics/HydroErr | HydroErr/HydroErr.py | h1_mhe | def h1_mhe(simulated_array, observed_array, replace_nan=None, replace_inf=None,
remove_neg=False, remove_zero=False):
"""Compute the H1 mean error.
.. image:: /pictures/H1.png
.. image:: /pictures/MHE.png
**Range:**
**Notes:**
Parameters
----------
simulated_array: one dim... | python | def h1_mhe(simulated_array, observed_array, replace_nan=None, replace_inf=None,
remove_neg=False, remove_zero=False):
"""Compute the H1 mean error.
.. image:: /pictures/H1.png
.. image:: /pictures/MHE.png
**Range:**
**Notes:**
Parameters
----------
simulated_array: one dim... | [
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"simulated_array",
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"observed_arra... | Compute the H1 mean error.
.. image:: /pictures/H1.png
.. image:: /pictures/MHE.png
**Range:**
**Notes:**
Parameters
----------
simulated_array: one dimensional ndarray
An array of simulated data from the time series.
observed_array: one dimensional ndarray
An array ... | [
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BYU-Hydroinformatics/HydroErr | HydroErr/HydroErr.py | h6_mahe | def h6_mahe(simulated_array, observed_array, k=1, replace_nan=None, replace_inf=None,
remove_neg=False,
remove_zero=False):
"""Compute the H6 mean absolute error.
.. image:: /pictures/H6.png
.. image:: /pictures/AHE.png
**Range:**
**Notes:**
Parameters
----------
... | python | def h6_mahe(simulated_array, observed_array, k=1, replace_nan=None, replace_inf=None,
remove_neg=False,
remove_zero=False):
"""Compute the H6 mean absolute error.
.. image:: /pictures/H6.png
.. image:: /pictures/AHE.png
**Range:**
**Notes:**
Parameters
----------
... | [
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"# Treats data",
"simulated_ar... | Compute the H6 mean absolute error.
.. image:: /pictures/H6.png
.. image:: /pictures/AHE.png
**Range:**
**Notes:**
Parameters
----------
simulated_array: one dimensional ndarray
An array of simulated data from the time series.
observed_array: one dimensional ndarray
... | [
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