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def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def retire_user(cls, user_id): """ Retire user as part of GDPR Phase I Returns 'True' if records found :param user_id: int :return: bool """ try: user_obj = User.objects.get(id=user_id) except User.DoesNotExist: return False ...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def delete(self, dn, controls=None): self.result = { 'dn' : '', 'referrals' : None, 'description' : 'success', 'result' : 0, 'message' : '', 'type' : 'addResponse'} # Check to see if...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def approve(self, user_id=None, service=""): """ Approve the verification attempt for user Valid attempt statuses when calling this method: `submitted`, `approved`, `denied` After method completes: status is set to `approved` expiry_date is set to on...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def modify(self, dn, changes, controls=None): self.result = { 'dn' : '', 'referrals' : None, 'description' : 'success', 'result' : 0, 'message' : '', 'type' : 'modifyResponse'} # Che...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def get_initial_verification(cls, user, earliest_allowed_date=None): """Get initial verification for a user with the 'photo_id_key'. Arguments: user(User): user object earliest_allowed_date(datetime): override expiration date for initial verification Return: ...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def _match_greater_than_or_equal(search_base, attribute, value, candidates): matches = list() for entry in candidates: dn = entry.get("dn") if not dn.endswith(search_base): continue value_from_directory = entry.get("attributes").get(attribute) ...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def upload_face_image(self, img_data): """ Upload an image of the user's face. `img_data` should be a raw bytestream of a PNG image. This method will take the data, encrypt it using our FACE_IMAGE_AES_KEY, encode it with base64 and save it to the storage backend. Yes, en...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def _match_greater_than(search_base, attribute, value, candidates): matches = list() for entry in candidates: dn = entry.get("dn") if not dn.endswith(search_base): continue value_from_directory = entry.get("attributes").get(attribute) if s...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def upload_photo_id_image(self, img_data): """ Upload an the user's photo ID image. `img_data` should be a raw bytestream of a PNG image. This method will take the data, encrypt it using a randomly generated AES key, encode it with base64 and save it to the storage backend. The r...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def _match_less_than_or_equal(search_base, attribute, value, candidates): matches = list() for entry in candidates: dn = entry.get("dn") if not dn.endswith(search_base): continue value_from_directory = entry.get("attributes").get(attribute) ...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def submit(self, copy_id_photo_from=None): """ Submit our verification attempt to Software Secure for validation. This will set our status to "submitted" if the post is successful, and "must_retry" if the post fails. Keyword Arguments: copy_id_photo_from (SoftwareSec...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def _match_less_than(search_base, attribute, value, candidates): matches = list() for entry in candidates: dn = entry.get("dn") if not dn.endswith(search_base): continue value_from_directory = entry.get("attributes").get(attribute) if str(...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def parsed_error_msg(self): """ Parse the error messages we receive from SoftwareSecure Error messages are written in the form: `[{"photoIdReasons": ["Not provided"]}]` Returns: str[]: List of error messages. """ parsed_errors = [] error...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def _match_equal_to(search_base, attribute, value, candidates): matches = list() match_using_regex = False if "*" in value: match_using_regex = True #regex = check_escape(value) regex = value.replace('*', '.*') regex = "^{0}$".format(regex) ...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def image_url(self, name, override_receipt_id=None): """ We dynamically generate this, since we want it the expiration clock to start when the message is created, not when the record is created. Arguments: name (str): Name of the image (e.g. "photo_id" or "face") Ke...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def _match_notequal_to(search_base, attribute, value, candidates): matches = list() match_using_regex = False if "*" in value: match_using_regex = True #regex = check_escape(value) regex = value.replace('*', '.*') regex = "^{0}$".format(regex) ...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def _storage(self): """ Return the configured django storage backend. """ config = settings.VERIFY_STUDENT["SOFTWARE_SECURE"] # Default to the S3 backend for backward compatibility storage_class = config.get("STORAGE_CLASS", "storages.backends.s3boto.S3BotoStorage") ...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def _parse_filter(): op = pyparsing.oneOf('! & |') lpar = pyparsing.Literal('(').suppress() rpar = pyparsing.Literal(')').suppress() k = pyparsing.Word(pyparsing.alphanums) # NOTE: We may need to expand on this list, but as this is not a real # LDAP server we should be...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def _get_path(self, prefix, override_receipt_id=None): """ Returns the path to a resource with this instance's `receipt_id`. If `override_receipt_id` is given, the path to that resource will be retrieved instead. This allows us to retrieve images submitted in previous attempts (...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def _deDuplicate(results): found = dict() deDuped = list() for entry in results: dn = entry.get("dn") if not dn in found: found[dn] = 1 deDuped.append(entry) return deDuped
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def _encrypted_user_photo_key_str(self): """ Software Secure needs to have both UserPhoto and PhotoID decrypted in the same manner. So even though this is going to be the same for every request, we're also using RSA encryption to encrypt the AES key for faces. """ ...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def _invert_results(self, candidates): inverted_candidates = list(self.directory) for candidate in candidates: try: inverted_candidates.remove(candidate) except ValueError: pass return inverted_candidates
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def create_request(self, copy_id_photo_from=None): """ Construct the HTTP request to the photo verification service. Keyword Arguments: copy_id_photo_from (SoftwareSecurePhotoVerification): If provided, re-send the ID photo data from this attempt. This is used for r...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def _search_not(self, base, search_filter, candidates=None): # Create empty candidates list as we need to use self.directory for # each search candidates = list() this_filter = list() index = 0 search_filter.remove("!") for condition in search_filter: ...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def request_message_txt(self): """ This is the body of the request we send across. This is never actually used in the code, but exists for debugging purposes -- you can call `print attempt.request_message_txt()` on the console and get a readable rendering of the request that woul...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def _search_and(self, base, search_filter, candidates=None): # Load the data from the directory, if we aren't passed any if candidates == [] or candidates is None: candidates = self.directory this_filter = list() index = 0 search_filter.remove("&") for condit...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def send_request(self, copy_id_photo_from=None): """ Assembles a submission to Software Secure and sends it via HTTPS. Keyword Arguments: copy_id_photo_from (SoftwareSecurePhotoVerification): If provided, re-send the ID photo data from this attempt. This is used for...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def _search_or(self, base, search_filter, candidates=None): # Create empty candidates list as we need to use self.directory for # each search candidates = list() this_filter = list() index = 0 search_filter.remove("|") for condition in search_filter: ...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def search(self, search_base=None, search_scope=None, search_filter=None, attributes=None, paged_size=5, size_limit=0, paged_cookie=None): s_filter = list() candidates = list() self.response = list() self.result = dict() try: if isinstan...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def set_deadline(cls, course_key, deadline, is_explicit=False): """ Configure the verification deadline for a course. If `deadline` is `None`, then the course will have no verification deadline. In this case, users will be able to verify for the course at any time. Arg...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def unbind(self): return True
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def deadlines_for_courses(cls, course_keys): """ Retrieve verification deadlines for particular courses. Arguments: course_keys (list): List of `CourseKey`s. Returns: dict: Map of course keys to datetimes (verification deadlines) """ all_deadlin...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def __init__(self): self._calls = CallList() self._server_mock = None self.directory = [] self.exception = None self.reset()
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def deadline_for_course(cls, course_key): """ Retrieve the verification deadline for a particular course. Arguments: course_key (CourseKey): The identifier for the course. Returns: datetime or None """ try: deadline = cls.objects.get...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def reset(self): self._calls.reset()
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def setLDAPDirectory(self, directory=None): if directory is None: self.directory = [] else: try: with open(DIRECTORY, 'w+') as f: f.write(str(directory)) self.directory = directory except OSError as e: ...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def set_exception(self, exc=True): self.exception = exc
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def _load_data(self, directory): try: with open(directory, 'r') as f: data = f.read() return literal_eval(data) except OSError as e: raise
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def calls(self): return self._calls
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def __enter__(self): self.start()
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def __exit__(self, *args): self.stop() self.reset()
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def activate(self, func): evaldict = {'ldap3mock': self, 'func': func} return get_wrapped(func, _wrapper_template, evaldict)
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def _on_Server(self, host, port, use_ssl, connect_timeout, get_info=None, tls=None): # mangle request packet return "FakeServerObject"
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def _on_Connection(self, server, user, password, auto_bind=None, client_strategy=None, authentication=None, check_names=None, auto_referrals=None, receive_timeout=None): """ We need to create a Connection object with methods: ...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def unbound_on_Server(host, port, use_ssl, connect_timeout, *a, **kwargs): return self._on_Server(host, port, use_ssl, connect_timeout, *a, **kwargs)
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def unbound_on_Connection(server, user, password, auto_bind, client_strategy, authentication, check_names, auto_refe...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def stop(self): self._patcher.stop() self._patcher2.stop() self._server_mock = None
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def get_server_mock(self): return self._server_mock
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def setUp(self): entry_Li = ComputedEntry("Li", -1.90753119) with open(os.path.join(PymatgenTest.TEST_FILES_DIR, "LiTiO2_batt.json")) as f: entries_LTO = json.load(f, cls=MontyDecoder) self.ie_LTO = InsertionElectrode.from_entries(entries_LTO, entry_Li) with open(os.pat...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def __init__(self): """ Every authenticator has to have a name :param name: """ super().__init__()
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def testName(self): plotter = VoltageProfilePlotter(xaxis="frac_x") plotter.add_electrode(self.ie_LTO, "LTO insertion") plotter.add_electrode(self.ce_FF, "FeF3 conversion") self.assertIsNotNone(plotter.get_plot_data(self.ie_LTO)) self.assertIsNotNone(plotter.get_plot_data(self.ce...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def testPlotly(self): plotter = VoltageProfilePlotter(xaxis="frac_x") plotter.add_electrode(self.ie_LTO, "LTO insertion") plotter.add_electrode(self.ce_FF, "FeF3 conversion") fig = plotter.get_plotly_figure() self.assertEqual(fig.layout.xaxis.title.text, "Atomic Fraction of Li") ...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def _no_ssl_required_on_debug(app, **kwargs): if app.debug or app.testing: os.environ['AUTHLIB_INSECURE_TRANSPORT'] = '1'
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def __init__(self, head): self.head = head self.lsize = 0 while head.next: head = head.next self.lsize += 1 self.m1_idx = None self.m2_idx = None if self.lsize > self._largesize: self.m1_idx = self.lsize / 3 # start from 1/3 ...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def _getN(self, n): n -= 1 p = self.head while n: p = p.next n -= 1 return p
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def _get(delta, start): p = start while delta: p = p.next delta -= 1 return p.val
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def main(): parser = argparse.ArgumentParser() parser.add_argument("day", help="The day of the results, with format yyyymmdd") args = parser.parse_args() install_autopkgtest_results_formatter() with tempfile.TemporaryDirectory(dir=os.environ.get("HOME")) as temp_dir: clone_results_repo(temp_...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def __init__(self, parent, window): self._parent = parent self._window = window self._application = self._parent._application # create user interface self._container = gtk.VBox(False, 5) self._controls = gtk.HBox(False, 5) separator = gtk.HSeparator() # pack interface self._container.pack_end(separ...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def install_autopkgtest_results_formatter(): subprocess.check_call( ["sudo", "snap", "install", "autopkgtest-results-formatter", "--edge"] )
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def can_handle(self, uri): """Returns boolean denoting if specified URI can be handled by this extension""" return False
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def clone_results_repo(dest_dir): subprocess.check_call( ["git", "clone", "https://github.com/elopio/autopkgtest-results.git", dest_dir] )
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def get_container(self): """Return container widget""" return self._container
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def format_results(dest_dir, distros, day): subprocess.check_call( [ "/snap/bin/autopkgtest-results-formatter", "--destination", dest_dir, "--distros", *distros, "--day", day, ] )
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def get_information(self): """Returns information about extension""" icon = None name = None return icon, name
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def commit_and_push(repo_dir, day): subprocess.check_call( ["git", "config", "--global", "user.email", "u1test+m-o@canonical.com"] ) subprocess.check_call(["git", "config", "--global", "user.name", "snappy-m-o"]) subprocess.check_call(["git", "-C", repo_dir, "add", "--all"]) subprocess.chec...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def unmount(self, uri): """Method called by the mount manager for unmounting the selected URI""" pass
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def focus_object(self): """Method called by the mount manager for focusing main object""" pass
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def __init__(self, gan=None, config=None, trainer=None): super().__init__(config=config, gan=gan, trainer=trainer) self.d_grads = None self.g_grads = None
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def main(): # Contingency Table from Wilks (2011) Table 8.3 table = np.array([[50, 91, 71], [47, 2364, 170], [54, 205, 3288]]) mct = MulticlassContingencyTable(table, n_classes=table.shape[0], class_names=np.arange(table.shape[...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def gradients(self, d_grads, g_grads): if self.d_grads is None: self.d_grads = [torch.zeros_like(_g) for _g in d_grads] self.g_grads = [torch.zeros_like(_g) for _g in g_grads]
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def __init__(self, table=None, n_classes=2, class_names=("1", "0")): self.table = table self.n_classes = n_classes self.class_names = class_names if table is None: self.table = np.zeros((self.n_classes, self.n_classes), dtype=int)
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def __add__(self, other): assert self.n_classes == other.n_classes, "Number of classes does not match" return MulticlassContingencyTable(self.table + other.table, n_classes=self.n_classes, class_names=self.class_names)
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def peirce_skill_score(self): """ Multiclass Peirce Skill Score (also Hanssen and Kuipers score, True Skill Score) """ n = float(self.table.sum()) nf = self.table.sum(axis=1) no = self.table.sum(axis=0) correct = float(self.table.trace()) return (correct /...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def gerrity_score(self): """ Gerrity Score, which weights each cell in the contingency table by its observed relative frequency. :return: """ k = self.table.shape[0] n = float(self.table.sum()) p_o = self.table.sum(axis=0) / n p_sum = np.cumsum(p_o)[:-1] ...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def heidke_skill_score(self): n = float(self.table.sum()) nf = self.table.sum(axis=1) no = self.table.sum(axis=0) correct = float(self.table.trace()) return (correct / n - (nf * no).sum() / n ** 2) / (1 - (nf * no).sum() / n ** 2)
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def git_checkout(git_url, git_branch=None, git_tag=None, git_hash=None): git_dst = tempfile.mkdtemp() g = GitManager(url=git_url, git_dst=git_dst, git_branch=git_branch, git_tag=git_tag, git_hash=git_hash) g.run() shutil.rmtree(git_dst)
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def test_git_tag(): """ Test checkout w/ Tag """ git_checkout(git_url='https://github.com/voltgrid/voltgrid-pie.git', git_branch=None, git_tag='v0.1.0')
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def test_git_branch(): """ Test checkout w/ Branch """ git_checkout(git_url='https://github.com/voltgrid/voltgrid-pie.git', git_branch='master', git_tag=None)
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def test_make_gym_venv_nostack(name, num_envs, state_shape, reward_scale): seed = 0 frame_op = None frame_op_len = None venv = make_gym_venv(name, num_envs, seed, frame_op=frame_op, frame_op_len=frame_op_len, reward_scale=reward_scale) venv.reset() for i in range(5): state, reward, done,...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def compute_rbf_kernel_matrix(X): """Compute the RBF kernel matrix with sigma2 as the median pairwise distance. """ sigma2 = np.median(pairwise_distances(X, metric='euclidean'))**2 K = pairwise_kernels(X, X, metric='rbf', gamma=1.0/sigma2, n_jobs=-1) return K
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def test_make_gym_concat(name, num_envs, state_shape, reward_scale): seed = 0 frame_op = 'concat' # used for image, or for concat vector frame_op_len = 4 venv = make_gym_venv(name, num_envs, seed, frame_op=frame_op, frame_op_len=frame_op_len, reward_scale=reward_scale) venv.reset() for i in ran...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def balanced_accuracy_scoring(clf, X, y): """Scoring function that computes the balanced accuracy to be used internally in the cross-validation procedure. """ y_pred = clf.predict(X) conf_mat = confusion_matrix(y, y_pred) bal_acc = 0. for i in range(len(conf_mat)): bal_acc += (float(...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def test_make_gym_stack(name, num_envs, state_shape, reward_scale): seed = 0 frame_op = 'stack' # used for rnn frame_op_len = 4 venv = make_gym_venv(name, num_envs, seed, frame_op=frame_op, frame_op_len=frame_op_len, reward_scale=reward_scale) venv.reset() for i in range(5): state, rewa...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def compute_svm_cv(K, y, C=100.0, n_folds=5, scoring=balanced_accuracy_scoring): """Compute cross-validated score of SVM with given precomputed kernel. """ cv = StratifiedKFold(y, n_folds=n_folds) clf = SVC(C=C, kernel='precomputed', class_weight='auto') scores = cross_val_score(c...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def compute_svm_subjects(K, y, n_folds=5): """ """ cv = KFold(len(K)/2, n_folds) scores = np.zeros(n_folds) for i, (train, test) in enumerate(cv): train_ids = np.concatenate((train, len(K)/2+train)) test_ids = np.concatenate((test, len(K)/2+test)) clf = SVC(kernel='precompute...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def permutation_subjects(y): """Permute class labels of Contextual Disorder dataset. """ y_perm = np.random.randint(0, 2, len(y)/2) y_perm = np.concatenate((y_perm, np.logical_not(y_perm).astype(int))) return y_perm
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def permutation_subjects_ktst(y): """Permute class labels of Contextual Disorder dataset for KTST. """ yp = np.random.randint(0, 2, len(y)/2) yp = np.concatenate((yp, np.logical_not(yp).astype(int))) y_perm = np.arange(len(y)) for i in range(len(y)/2): if yp[i] == 1: y_perm[i...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def compute_svm_score_nestedCV(K, y, n_folds, scoring=balanced_accuracy_scoring, random_state=None, param_grid=[{'C': np.logspace(-5, 5, 25)}]): """Compute cross-validated score of SVM using precomputed kernel. """ ...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def apply_svm(K, y, n_folds=5, iterations=10000, subjects=False, verbose=True, random_state=None): """ Compute the balanced accuracy, its null distribution and the p-value. Parameters: ---------- K: array-like Kernel matrix y: array_like class labels cv: Number...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def apply_ktst(K, y, iterations=10000, subjects=False, verbose=True): """ Compute MMD^2_u, its null distribution and the p-value of the kernel two-sample test. Parameters: ---------- K: array-like Kernel matrix y: array_like class labels verbose: bool Verbosity ...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def test_login(self, mock_login_with_token, mock_input, mock_open_url): quilt3.login() url = quilt3.session.get_registry_url() mock_open_url.assert_called_with(f'{url}/login') mock_login_with_token.assert_called_with('123456')
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def decode(value): if isinstance(value, bytes): value = value.decode(errors="surrogateescape") for char in ("\\", "\n", "\t"): value = value.replace( char.encode(encoding="unicode-escape").decode(), char ) return value
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def test_login_with_token(self, mock_save_credentials, mock_save_auth): url = quilt3.session.get_registry_url() mock_auth = dict( refresh_token='refresh-token', access_token='access-token', expires_at=123456789 ) self.requests_mock.add( r...
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def encode(value): if isinstance(value, bytes): value = value.decode(errors="surrogateescape") for char in ("\\", "\n", "\t"): value = value.replace( char, char.encode(encoding="unicode-escape").decode() ) return value
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def format_date(date): return date.replace(tzinfo=datetime.timezone.utc, microsecond=0).isoformat()
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def deserialize(self, value): """Cast raw string to appropriate type.""" return decode(value)
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def serialize(self, value, display=False): """Convert value back to string for saving.""" if value is None: return "" return str(value)
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def deserialize(self, value): return DeprecatedValue()
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def serialize(self, value, display=False): return DeprecatedValue()
def _initialize(self): """Make the molecule ready for adding bonds between heavy atoms.""" self._current_bonds_attached = np.copy(self._bonds_with_hydrogens_attached)
def __init__(self, optional=False, choices=None): self._required = not optional self._choices = choices