def enhance_symbol_flags(self):
is_float_function_pattern = re.compile(
r"^__aeabi_(f.*|.*2f)|__addsf3$")
def is_float_function_name(n):
return is_float_function_pattern.match(n)
float_functions = [
f for f in self.all_functions() if is_float_function_name(f[NAME])
]
for f in self.all_functions():
callees = f[CALLEES]
f["calls_float_function"] = any(
[ff in callees for ff in float_functions])
for file in self.all_files():
file["calls_float_function"] = any(
[f["calls_float_function"] for f in file[FUNCTIONS]])
def folder_calls_float_function(folder):
result = any([f["calls_float_function"] for f in folder[FILES]])
for sub_folder in folder[SUB_FOLDERS]:
if folder_calls_float_function(sub_folder):
result = True
folder["calls_float_function"] = result
return result
for folder in self.root_folders():
folder_calls_float_function(folder)
def __filter_inventory(self, inventory):
filtered_inventory = []
for i in range(len(inventory)):
if 'Daily Summer Camp' in inventory[i]['descriptor'].split('[')[0] or \
'10 Week Summer Coding Term' in inventory[i]['descriptor'].split('[')[0] or \
'Summer Camps \'20 - Weekly Registration' in inventory[i]['descriptor'].split('[')[0]:
current_term_variant = inventory[i]['descriptor']
# if '\'20' in current_term_variant:
# current_term_variant = current_term_variant.replace('\'20', '2020')
#
# if ', ' in current_term_variant.split('- ')[1].split('[')[0]:
# current_term_variant = current_term_variant[0:current_term_variant.index(',')] + ' ' + current_term_variant[current_term_variant.index('['):len(current_term_variant)]
if len(current_term_variant.split(',')) > 3:
if not any(current_term_variant[0:current_term_variant.
rfind(',')] in x
for x in filtered_inventory):
filtered_inventory.append(current_term_variant)
else:
if not any(current_term_variant in x
for x in filtered_inventory):
filtered_inventory.append(current_term_variant)
return self.__split_inventory(filtered_inventory)
def check_pw_reqs(pw, length=None):
"""Check if the password includes lower letters, capital letters,
numbers and special characters"""
z85_special_chars = ".-:+=^!/*?&<>()[]{}@%$#"
pw = pw[:length]
return (builtins.any(c.islower() for c in pw)
and builtins.any(c.isupper() for c in pw)
and builtins.any(c.isdigit() for c in pw)
and builtins.any(c in z85_special_chars for c in pw))
def _check_signature(filename):
"""Check the filetype by its signature (the leading part of the file).
If the first several characters are all ASCII, return the string ``TXT``.
Returns
-------
str
Either
a short string identifying the filetype
(currently "HDF5", "DOS Format" or "TXT")
OR `None` if the type is unknown.
"""
file_signatures = {b'\x89\x48\x44\x46\x0d\x0a\x1a\x0a':'HDF5',
b'DOS Format':'DOS Format',
b'\x11Varian':'Cary UV'}
max_sig_length = max(list(map(len,list(file_signatures.keys()))))
with open(filename,'rb') as fp:
inistring = fp.read(max_sig_length)
if any(thiskey in inistring for thiskey in
list(file_signatures.keys())):# this will fail without overriding the numpy any( above
retval = file_signatures[next((thiskey for thiskey in
list(file_signatures.keys()) if thiskey in
inistring))]
logger.debug(strm("Found magic signature, returning",
retval))
return retval
else:
try:
inistring.decode('ascii')
return 'TXT'
except UnicodeDecodeError:
# if it failed, it's because the string is not ASCII
return None
def folder_calls_float_function(folder):
result = any([f["calls_float_function"] for f in folder[FILES]])
for sub_folder in folder[SUB_FOLDERS]:
if folder_calls_float_function(sub_folder):
result = True
folder["calls_float_function"] = result
return result
def __contains__(self, path): node = path[-1] if isinstance(node, xsc.Element): attr = node.attrs.get(self.attrname) if not attr.isfancy(): # if there are PIs, say no return builtins.any(str(attr).endswith(attrvalue) for attrvalue in self.attrvalues) return False
def __contains__(self, path):
node = path[-1]
if isinstance(node, xsc.Element):
attr = node.attrs.get("class")
if not attr.isfancy():
return builtins.any(classname in str(attr).split() for classname in self.classnames)
return False
def nfunc(*args, **kwargs):
if builtin.any(hasattr(iarg, 'chunks') for iarg in args):
if dtypes is not None:
kwargs['dtype'] = np.dtype(dtypes[str(args[0].dtype)])
else:
kwargs['dtype'] = args[0].dtype
return map_blocks(func, *args, **kwargs)
else:
return func(*args, **kwargs)
def any(iterable, pred):
"""Returns True if ANY element in the given iterable is True for the
given pred function"""
warnings.warn(
"pipe.any is deprecated, use the builtin any(...) instead.",
DeprecationWarning,
stacklevel=4,
)
return builtins.any(pred(x) for x in iterable)
def __call__(self, request):
# Code to be executed for each request before
# the view (and later middleware) are called.
response = self.get_response(request)
if not request.user.is_authenticated():
path = request.path_info.lstrip('/')
if not any(m.match(path) for m in EXEMPT_URLS):
return HttpResponseRedirect(settings.LOGIN_URL)
return response
def matching(commit, parents, blob_sha):
res = commit_matching_path(commit, blob_sha)
# print("trying {}".format(commit))
if res and not builtins.any(
commit_matching_path(parent, blob_sha) for parent in parents
):
return res
else:
return None
def wrapper(*args, **kwargs):
is_sparse = builtins.any([isinstance(x, STensor) for x in args])
is_dense = builtins.any([isinstance(x, DTensor) for x in args])
if (is_sparse and is_dense):
raise TypeError(
f"Parameters of `st.{func.__name__}` should be all STensor \
or all DTensor.")
if is_sparse:
if sfunc is None:
raise TypeError(f"`st.{func.__name__}` doesn't support \
STensor parameters.")
args = tuple(x._data if isinstance(x, STensor) else x
for x in args)
return _ensure_tensor(sfunc(*args, **kwargs))
else:
args = tuple(x._data if isinstance(x, DTensor) else x
for x in args)
return _ensure_tensor(dfunc(*args, **kwargs))
def test_is_number_positive():
try:
from lesson import is_number_positive
except ImportError:
_import_error('is_number_positive')
return False
falses = [is_number_positive(x) for x in [-1, -2, -3, -4, -5]]
trues = [is_number_positive(x) for x in [1, 2, 3, 4, 5]]
return not any(falses) and all(trues) and is_number_positive(
0) == "Neither"
def any(f, lst):
"""Returns `true` if at least one of the elements of the list match the predicate, `false` otherwise.
Args:
f (function): The predicate function.
lst (list): The list to consider.
Returns:
bool: `true` if the predicate is satisfied by at least one element, `false` otherwise.
"""
return builtins.any(map(f, lst))
def contains(self, keywords: list, all_colnames: list = None) -> list:
""" Check if keywords exist in all_colnames.
- Determine whether a keyword (substring) exists in a given list of column names (strings).
- Note: This search is case sensitive!
Parameters
----------
keywords : list[str]
- List of key words that the user is interested in
all_colnames : list[str]
- List of column names of a table, or for many tables.
- If no argument is provided, this function will use the column names generated when the run method was called.
Returns
-------
list
- Each index corresponds to a keyword.
- For each index, True if substring exists in list of strings, otherwise False.
Examples
--------
>>> colnames = ['id', 'name', 'title']
>>> cb.contains(['name'], colnames)
[True]
>>> cb.contains(['Name'], colnames)
[False]
>>> cb.contains(['name', 'Name'], colnames)
[True, False]
"""
if all_colnames is None:
return [
any(keyword in colname for colname in self.all_colnames)
for keyword in keywords
]
else:
return [
any(keyword in colname for colname in all_colnames)
for keyword in keywords
]
def can_take_course(self, list_of_courses_taken, current_term_courses, course):
# TODO Throw errors in the future
"""
Check if the course violates any prereq, coreq, and antireq requirments, return boolean along with any error message
:param list_of_courses_taken: list[str]
:param course: str
:return: Bool, str
"""
# ANTIREQ
for anti_req in self.antireqs:
if any(c in anti_req for c in list_of_courses_taken + current_term_courses):
return False, "The course has an antirequisite."
# Course cannot be repeated
if course in list_of_courses_taken:
return False, "Course has already been taken."
# PREREQ & COREQ
prereq_logic = self.prereq_logic
for i in range(len(self.prereq_courses)):
if self.prereq_courses[i][0] == "_":
prereq_logic = self.level_can_take(prereq_logic, self.prereq_courses[i][1:],
list_of_courses_taken + current_term_courses, i)
else:
prereq_logic = self.level_can_take(prereq_logic, self.prereq_courses[i],
list_of_courses_taken, i)
try:
if eval(prereq_logic):
return True, ""
else:
return False, "Prerequisite or corequisite not met."
except Exception as e:
# EMAIL(course, self.prereq_courses, self.prereq_logic, list_of_courses_taken, current_term_courses, e)
# Error Log
# TODO: Prevent sending multiple emails with the same error in a short amount of time
error_message = "Error Message: " + str(e) + "."
error_message += "\n\ncan_take_course({}, {}, {})".format(list_of_courses_taken, current_term_courses, course)
error_message += "\n\nAntireqs: " + str(self.antireqs)
error_message += "\n\nPrereq Logic: " + str(self.prereq_logic)
error_message += "\n\nPrereq Courses: " + str(self.prereq_courses)
error_message += "\n\nCoreq Logic: " + str(self.coreq_logic)
error_message += "\n\nCoreq Courses: " + str(self.coreq_courses)
error_message += "\n\nOccurred at: " + str(datetime.now()) + " (UTC)"
msg = EmailMessage("Error in ValidationCheckAPI/CanTakeCourse",
error_message,
settings.EMAIL_HOST_USER,
[settings.EMAIL_HOST_USER])
msg.send()
return True
def wrapped(message):
if not message.text:
return False
split_message = re.split(r'[^\w@/]', message.text.lower())
if not inline:
s = split_message[0]
return ((s in cmnds)
or (s.endswith(my_bot_name) and s.split('@')[0] in cmnds))
else:
return any(
cmnd in split_message or cmnd + my_bot_name in split_message
for cmnd in cmnds)
def wrapped(message):
if not message.text:
return False
split_message = re.split(r'[^\w@/]', message.text.lower())
if not inline:
s = split_message[0]
return ((s in cmnds)
or (s.endswith(my_bot_name) and s.split('@')[0] in cmnds))
else:
return any(cmnd in split_message
or cmnd + my_bot_name in split_message
for cmnd in cmnds)
def sequential(self, *args, **kwargs):
broadcast_shape, dim_sizes, args = self._process_args(args, kwargs)
outputs = None
otypes = self.otypes
nout = len(self._out)
for index in np.ndindex(*broadcast_shape):
i_args = ((arg[index] if _in is not None else arg)
for _in, arg in zip(self._in, args))
if self.sendindex:
results = self.pyfunc(index, *i_args)
else:
results = self.pyfunc(*i_args)
n_results = len(results) if isinstance(results, tuple) else 1
if nout != n_results:
raise ValueError(
'wrong number of outputs from pyfunc: expected %r, got %r'
% (nout, n_results))
if nout == 1:
results = (results, )
if outputs is None:
for result, core_dims in zip(results, self._out):
_update_dim_sizes(dim_sizes, result, core_dims)
if otypes is None:
otypes = [np.asarray(result).dtype for result in results]
outputs = _create_arrays(broadcast_shape, dim_sizes, self._out,
otypes)
for output, result in zip(outputs, results):
output[index] = result
if outputs is None:
# did not call the function even once
if otypes is None:
raise ValueError('cannot call `vectorize` on size 0 inputs '
'unless `otypes` is set')
if builtins.any(dim not in dim_sizes for dims in self._out
for dim in dims):
raise ValueError('cannot call `vectorize` with a signature '
'including new output dimensions on size 0 '
'inputs')
outputs = _create_arrays(broadcast_shape, dim_sizes, self._out,
otypes)
return outputs[0] if nout == 1 else outputs
def get_articles(members, level, max_level):
open("/home/renzo/Artists-data/levels_singers.txt",
"a").write(" " + str(level) + "\n")
for c in members.values():
if c.ns == wikipediaapi.Namespace.CATEGORY and not any(
x in c.title for x in exclude_cats):
if level < max_level:
if cat_DAO.exists(c.fullurl) is False or cat_DAO.find(
c.fullurl)['status'] == 'visiting':
wiki_cat = WikiCategory(c, "visiting")
cat_DAO.insert(wiki_cat)
print("visiting: %s" % (c.fullurl))
open("/home/renzo/Artists-data/levels_singers.txt",
"a").write(str(c.fullurl))
get_articles(c.categorymembers,
level=level + 1,
max_level=max_level)
wiki_cat.status = "visited"
cat_DAO.replace(wiki_cat)
elif c.ns == wikipediaapi.Namespace.MAIN and not any(
x in c.title for x in exclude_pages):
art_DAO.insert(WikiArtist(c))
async def any(itr: AnyIterable[MaybeAwaitable[Any]]) -> bool:
"""
Return True if any value is truthy in a mixed iterable, else False.
The iterable will be fully consumed and any awaitables will
automatically be awaited.
Example:
if await any(it):
...
"""
return builtins.any(await ait_asyncio.gather_iter(itr))
async def zip(*itrs: AnyIterable[Any]) -> AsyncIterator[Tuple[Any, ...]]:
"""
Yield a tuple of items from mixed iterables until the shortest is consumed.
Example::
async for a, b, c in zip(i, j, k):
...
"""
its: List[AsyncIterator[Any]] = [iter(itr) for itr in itrs]
while True:
values = await asyncio.gather(*[it.__anext__() for it in its],
return_exceptions=True)
if builtins.any(isinstance(v, AnyStop) for v in values):
break
yield values
def get_line_num_dict(self):
line_num_dict = {}
for key, value in network_dict.items():
search_term = value
line_list = []
with open(self.key_file) as file:
reader = csv.reader(file, delimiter=',')
line_number = 0
for line in reader:
line_number += 1
if any(search_term in x for x in line):
line_list.append(line_number - self.header_size)
line_num_dict[key] = line_list
self.line_num_dict = line_num_dict
def extract_assertion(para_dict, coref_info):
"""
input: para_dict -> key:paragraph ID, value: dict of segmented sentences from that para
coref_info ->
output: char_dict -> key: canonical name of character, values: dict with 'position' and 'text' as keys
"""
char_dict = defaultdict(list)
#For each paragraph and it's corresponding segments
for (para_id, (segments, segment_ranges)) in para_dict.items():
#For each segment
for (segment_id, segment) in segments.items():
segment_range = segment_ranges[segment_id]
#For each character in character list
for cluster in coref_info['clusters']:
if not 'name' in cluster:
continue
character = cluster['name']
mention_positions = [
m['position'] for m in cluster['mentions']
]
if any(pos[0] >= segment_range[0] and pos[1] <= segment_range[1] \
for pos in mention_positions):
char_dict[character].append({
'position': segment_range,
'text': segment.strip()
})
#if character in segment:
# #Added fix for quotation removal
# #(would be ideal to use the same as quote attribution does
# #if possible)
# # Replace quote tags so don't interfere
# segment = re.sub(r'<character name="(.+?)">', r'<character name=|||\1|||>', segment)
# #segment = re.sub(r'\s".*?"\s', '', segment)
# #segment = re.sub(r'(^|\s)(“|``|"+|«).+?(”|\'\'|"+|»)(\s|$)', ' ', segment)
# segment = re.sub(r'(^|\s)(“|``|"+|«).+?(”|\'\'|"+|»)', ' ', segment)
# segment = re.sub(r' +', ' ', segment)
# # Put quote tags back in
# segment = segment.replace('|||', '"')
# char_dict[character].append(segment.strip())
return char_dict
def crawl_and_process(out_file, input_dir):
"""
Return whoosh index from given directory.
Crawl and process files to convert documents to html
then rebuild the whoosh index.
"""
# Get all the files we need to convert
files = get_file_names(input_dir)
# Go through each of the files and then
# convert the md and ipynb files to html
for my_file in files:
# do this to bypass any reveal.js content
# from notebook slides
if not builtins.any(word in my_file for word in ['reveal', 'ai_py']):
_, file_ext = os.path.splitext(my_file)
prep_html(file_ext, my_file)
# Regenerate the index
gen_index(input_dir, out_file)
def push(self, list_to_push):
list_to_push = self.blacklisted_urls(list_to_push)
self.url_list.extend(list_to_push)
seen = set()
seen_add = seen.add
self.url_list = [
x for x in self.url_list if not (x in seen or seen_add(x))
]
non_domain_lista = [
x for x in self.url_list
if not re.findall(re.escape(self.current_domain),
urlparse(x).netloc)
]
domain_lista = [x for x in self.url_list if x not in non_domain_lista]
self.url_list = domain_lista + non_domain_lista
if not any(self.current_domain in urlparse(x).netloc
for x in self.url_list):
self.parsed_domains.append(self.current_domain)
self.current_domain = ''
self.logger.info(f'Pushed list. Remaining {len(self.url_list)}')
def run(self):
try:
print('Parse ' + self.url)
article = Article(self.url)
article.download()
# if article.download_exception_msg and "404" in article.download_exception_msg:
# logger.error('404 not found, delete... ' + self.url)
# news_collection.remove({"id": self.tweet_id})
# return
# if article.download_exception_msg and "410" in article.download_exception_msg:
# logger.error('410 client error, delete... ' + self.url)
# news_collection.remove({"id": self.tweet_id})
# return
article.parse()
ignore_list = ["twitter.com", "youtube.com", "facebook.com", "instagram.com"]
if any(x in article.canonical_link for x in ignore_list):
print('delete ' + article.canonical_link)
news_collection.remove({"id": self.tweet_id})
return
print(
'Title for ' + article.top_image + ' - ' + article.canonical_link + '\n' + article.title + '\n\n')
print('Latest: ' + str(latest))
if news_collection.find({'$or': [{'title': article.title}, {'text': article.text}]}).count() > 0:
print('Duplicate, Ignore!')
news_collection.remove({"id": self.tweet_id})
return
vector = 0
news_collection.update_one({'id': self.tweet_id},
{'$set': {
'vector': vector,
'title': article.title,
'text': article.text,
'image': article.top_image}})
except Exception as e:
logger.error(str(e))
def any(*args):
return builtins.any(args)
def __contains__(self, path): return builtins.any(isinstance(node, xsc.Attr) for node in path)
line = line.lower()
line = line.replace("\"", "")
# if not a restaurant or is closed or not in NY
#if "restaurant" not in line or "is_open:0" in line or "state:ny" not in line:
# continue
line = line[1:]
line = line[:-1]
info_map = {}
while (line != ""):
if line[0] == ',':
line = line[1:]
info_split = line[:line.find(',')]
key_value = info_split.split(':')
if len(key_value) > 1:
key = key_value[0]
needed = any(key in x for x in keys)
if needed:
info_map[key] = key_value[1]
#print ("KEY: " + key + " VALUE: " + info_map[key])
line = line[len(info_split) + 1:]
if info_map: # if it has been populated
ny_restaurants.append(info_map)
# Populate database with array of dictionaries #
insertion_formula = "INSERT INTO restaurants (business_id, name, address, city, state, postal_code, latitude, longitude,stars, review_count) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s)"
for d in ny_restaurants:
row = (d[keys[0]], d[keys[1]], d[keys[2]], d[keys[3]], d[keys[4]],
d[keys[5]], d[keys[6]], d[keys[7]], d[keys[8]], d[keys[9]])
mycursor.execute(insertion_formula, row)
def any(iterable, pred):
"Returns True if ANY element in the given iterable is True for the given pred function"
return builtins.any(pred(x) for x in iterable)
def any(function_or_iterable, *args): if len(args) == 0: return builtins.any(function_or_iterable) else: return builtins.any(map(function_or_iterable, args[0]))
def __contains__(self, path): return builtins.any(path in sel for sel in self.selectors)
def any(iterable, pred):
"""Returns True if ANY element in the given iterable is True for the
given pred function"""
return builtins.any(pred(x) for x in iterable)
def any(*args):
return builtins.any(args)
