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def compare(gene, classes): """ Compare the distribution of two or more groups and automatically selects the proper statistical test Args: gene (string): feature to be compared. classes (list of pandas dataframe): list of groups (classes) to compare. ...
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def test_descendants_to_path(): """Test descendants to path.""" path = "a.b.c.d.e" assert descendants_to_path(path) == ["a", "a.b", "a.b.c", "a.b.c.d", "a.b.c.d.e"]
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def get_powersph_errorbars(k, psph, params): """ Calculate the error bars on spherically-averaged P(k) (1-sigma uncertainty) as a function of k. This is a convenience method, which calls the internal method. Parameters ---------- k : 1D array Values of k at which to calculate error bar...
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def encrypt_file(password, in_file, out_file): """ Encrypt the contents of the given file. Encrypts the contents of the in_file into the out_file. :param password: The password for the file being encrypted. :type password: str :param in_file: The name of the file to encrypt. :type in_file: str...
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def check_guide_input(df): """Check whether input DataFrame has expected format - Column 1: first guide identifier - Column 2: second guide identifier - Column 3: first gene identifier - Column 4: second gene identifier - Column 5+: LFC values from different conditions Parameters -----...
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def test_save_load(tmp_path, model_class): """ Test if 'save' and 'load' saves and loads model correctly and if 'get_parameters' and 'set_parameters' and work correctly. ''warning does not test function of optimizer parameter load :param model_class: (BaseAlgorithm) A RL model """ env = D...
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def sum_poly_areas(lop: List[shapely.geometry.Polygon],) -> float: """ Returns a float representing the total area of all polygons in 'lop', the list of polygons. """ sum_acc = 0 for poly in lop: sum_acc += poly.area return sum_acc
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def test_remove_trader_from_market_when_round_number_bigger_than_0(client, logged_in_user): """ Testing the remove trader functionality when round number bigger than 0""" market = MarketFactory( round=7, created_by=logged_in_user) trader = TraderFactory(market=market) # Trader is not removed by...
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def writeMarkdown_p (html, output): """Writes the `html` `<p>` to `output` stream as Markdown text.""" output.write(f'{textwrap.fill( replace_inline(html) )}\n\n')
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def build_importer_component_spec( importer_base_name: str, input_name: str, input_type_schema: pipeline_spec_pb2.ArtifactTypeSchema, ) -> pipeline_spec_pb2.ComponentSpec: """Builds an importer component spec. Args: importer_base_name: The base name of the importer node. dependent_task: The tas...
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def hpat_pandas_series_max(self, axis=None, skipna=None, level=None, numeric_only=None): """ Intel Scalable Dataframe Compiler User Guide ******************************************** Pandas API: pandas.Series.max Limitations ----------- Parameters ``axis``, ``level`` and ``numeric_only`` a...
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def train_predictor(predictor, train_data, train_target, hyperparameter, metric='accuracy', n_folds=5): """ Cross validation training in order to find best parameter. :param predictor: :param train_data:...
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def make_vector_laplace(bcs: Boundaries) -> Callable: """make a discretized vector laplace operator for a cylindrical grid {DESCR_CYLINDRICAL_GRID} Args: bcs (:class:`~pde.grids.boundaries.axes.Boundaries`): {ARG_BOUNDARIES_INSTANCE} Returns: A function that can be applied...
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def test_Bernoulli(): """Tests Bernoulli distribution""" # Create the distribution dist = pfd.Bernoulli(0) # Check default params assert dist.logits == 0 assert dist.probs is None # Call should return backend obj assert isinstance(dist(), tfd.Bernoulli) # Test methods assert ...
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def test_detail_view_shows_journal_detail(dummy_request, new_journal): """Test detail view show journal details.""" dummy_request.dbsession.add(new_journal) dummy_request.dbsession.commit() dummy_request.matchdict['id'] = 1 response = detail_view(dummy_request) assert response['Journal'] == new_...
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def extract_keys(key: bytes) -> str: """Derive a key1,key2, key3 from a password str and returns a hex tuple (key1, key2, key3) """ digest = hashlib.sha256(key).digest() key1 = hexlify(digest) key2 = hashlib.sha256(digest).hexdigest() key3 = hashlib.sha256(hashlib.sha256(digest).digest()).hexdigest(...
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def XX_using_param_ISWAP(q0, q1, angle): """ Return a generator that executes e^{i angle XX} using the parameterized ISWAP gate Args: q0: qubit 0 q1: qubit 1 Returns: Generator for a cirq.Operation implementings e^{i angle XX} """ iswap = cirq.ISWAP.on(q0, q1) *...
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def add_user(user): """ Add a user in the database return Boolean """ try: with session_scope() as session: u = User(**user) session.add(u) return True, None except exc.IntegrityError as e: return False, str(e)
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def _port_speed_prices_table(port_speeds, prices=False): """Shows Server Port Speeds prices cost and capacity restriction. :param [] port_speeds: List of Hardware Server Port Speeds. :param prices: Create a price table or not """ if prices: table = formatting.Table(['Key', 'Speed', 'Hourly'...
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def conversion(pid, offset, sequences, directory, file_count): """ This function calls all functions required for the full latex to png conversion for a subset of the sequences. It is meant to be called for a single process. The respective subset depends on the given offset. :param pid: The identifier ...
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def create_javadoc(self): """ Creates a javadoc task (feature 'javadoc') """ tsk = self.create_task('javadoc') tsk.classpath = getattr(self, 'classpath', []) self.javadoc_package = Utils.to_list(self.javadoc_package) if not isinstance(self.javadoc_output, Node.Node): self.javadoc_output = self.bld.path.find_or...
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def conv_nested(image, kernel): """A naive implementation of convolution filter. This is a naive implementation of convolution using 4 nested for-loops. This function computes convolution of an image with a kernel and outputs the result that has the same shape as the input image. Args: ima...
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def get_cheque_code(cheque: str): """Get code""" if ( re.search(r'BTC_CHANGE_BOT\?start=', cheque) or not re.search(r'BTC_CHANGE_BOT\?start=', cheque) and re.search(r'Chatex_bot\?start=', cheque) ): return re.findall(r'c_\S+', cheque)[0] elif re.search(r'Getwa...
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def findKthLargest(nums, k): """ :type nums: List[int] :type k: int :rtype: int """ # sol 1 # nums.sort() # return nums[-k] # sol 2 # return select(nums, 0, len(nums)-1, k) # sol 3 return search(nums,k)
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def check_round_change(fromBlock, toBlock): """Checks for round initilized txs between blockOld and block. If an event exists, get the blocknumber of this tx and the round number """ round_filter = w3.eth.filter({ "fromBlock": fromBlock, "toBlock": toBlock, "address": ROUND_MANAGER_PROX...
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def chown_repo(cx, spec=DEFAULT_USER_SPEC): """Give dev group access to repo""" spec = toml.load(spec) cx.sudo(f"chown :{spec['dev_group']} -R .")
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def check_online(stream): """ Used to check user's online opponents and show their online/offline status on page on init """ while True: packet = yield from stream.get() session_id = packet.get('session_key') opponent_username = packet.get('username') if session_id and op...
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def async_phonology(args, task_key, cache_kwargs, storage, sqlalchemy_url): """ Asynchronous phonology compilation. """ # This is a no-op with current settings, we use it to enable logging inside celery tasks, because # somehow this does it, and otherwise we couldn't set it up. logging.debug('...
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def dice_coef_loss(target, prediction, axis=(1,2,3), smooth=1.0): """ Sorenson Dice loss Using -log(Dice) as the loss since it is better behaved. Also, the log allows avoidance of the division which can help prevent underflow when the numbers are very small. """ intersection = tf.reduce_sum(...
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def enable_server_reflection(service_names, server, pool=None): """Enables server reflection on a server. Args: service_names: Iterable of fully-qualified service names available. server: grpc.Server to which reflection service will be added. pool: DescriptorPool object to use (descriptor_poo...
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def option_names_not_in_cfg(cfg, options): """ Returns names of *options* not seen in the *cfg* dictionary, typically parsed from an external configuration file. Parameters ---------- cfg : dict options : :py:class:`~enrich2.plugins.options.Options` Returns ------- `list` ...
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def _unpack_data(buffer): """Unpack received data >>> d = _unpack_data(bytes.fromhex('AA 11 00 08 00 BC 6E 00 3E 9C 01 89 00 00 1E 26 0F 0F 08 13 9E')) >>> d == {"datetime": "2019-08-15 15:38:30", "V": 105.534, "mA": 221.46875, "W": 0.685} True Args: buffer (bytes): Data received from ...
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def fit_mgauss(x, y, x0, n, c=(-np.inf, np.inf), thresh=-1, ftol=1e-4, xtol=1e-4, scale=0, maxiter=100, verbose=False): """ Fit a symmetric multigauss to the provided 1-D data. *Arguments*: - x = x values of data to fit. - y = y values of data to fit. - x0 = the initial guess as a stacked (1...
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def list_files_with_extension(root_path, extension, full_path=True, recursively=True): """List all files paths in a folder, filtered by a given suffix. Parameters ---------- root_path : Path Top level folder, start search here. extension : str Extension...
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def get_power_online(signal: ComplexTensor) -> torch.Tensor: """Calculates power for `signal` Args: signal : Single frequency signal with shape (F, C, T). axis: reduce_mean axis Returns: Power with shape (F, ) """ power = signal.real ** 2 + signal.imag ** 2 ...
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def transform(model, pretrained=False, gamma=0.9, mem=False): """Return the MomentumNet counterpart of the model Parameters ---------- model : a torchvision model The resnet one desires to turn into a momentumnet pretrained : bool (default: False) Whether using a pretrained resnet ...
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def iam_user_list(aws_config=None): """ @type aws_config: Config """ iam_client = get_client(client_type='iam', config=aws_config) users_response = iam_client.list_users() mfa_devices_response = iam_client.list_virtual_mfa_devices(AssignmentStatus='Assigned') mfa_devices = mfa_devices_respon...
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def test_method__change_tab(config_multiple, capsys, random_string): """Tests menu._change_tab""" c = deepcopy(config_multiple) c["tabs"][1]["tab_header_input"] = random_string[:3] c["tabs"][1]["tab_header_description"] = random_string[3:7] c["tabs"][1]["tab_header_long_description"] = random_string...
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def getListArrayDim(self, ainput, dim=0): """ get the dimension of a list returns -1 if it is no list at all, 0 if list is empty and otherwise the dimensions of it """ if isinstance(ainput, (list, np.ndarray)): if ainput == []: return dim dim = dim + 1 dim =...
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def exp_two(arg1, arg2): """ (float, float) -> float Exponentiates two numbers (arg1 ** arg2) Returns the exponent """ try: return arg1 ** arg2 except TypeError: return 'Unsupported operation: {0} ** {1} '.format(type(arg1), type(arg2))
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def crud_exceptions(fn): """A decorator designed to catch exceptions from the crud api methods.""" @wraps(fn) def wrapped(*args, **kwargs): try: return fn(*args, **kwargs) except: a = [x for x in (args or [])] kw = {k : v for k, v in (kwargs or {}).items()...
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def test_branched_history(pytester): """Branched history can be navigated, when there's no mergepoint present.""" run_pytest(pytester, passed=4)
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def train_opts(parser: argparse.ArgumentParser, require: bool = True) -> None: # pylint: disable=unused-argument """Add options specific to a training task.""" group = parser.add_argument_group("Training options") group.add_argument( "--char-features", default="lstm", type=str, ...
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def parse_problems(lines): """ Given a list of lines, parses them and returns a list of problems. """ return [len(p) for p in lines]
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def decode_trace_resp(payload, offset, trace_resp_header_values): """Decode headers for a OAM Trace Response""" sf_type = None sf_name = None trace_header = payload[offset:offset+NSH_OAM_TRACE_HDR_LEN] _header_values = struct.unpack('!B B H I I I I', trace_header) trace_resp_header_values.oam_...
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def standard_lv(env_name, remove_q=True, static_feeds_new=None, clear_loads_sgen=False, clear_gen=True, battery_locations=None, percent_battery_buses=0.5, batteries_on_leaf_nodes_only=True, init_soc=0.5, energy_capacity=20.0, gen_locations=None, gen_p_max=0.0, gen_p_min=-50.0, ...
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def oauth_require_read_schema_scope(f: 'Callable[..., Any]'): """(User以外の)メタデータを読むだけのScopeデコレータ. :param Callable f: Function """ from .authorize import oauth return oauth.require_oauth(CRScope.SCHEMA_R.value, CRScope.SCHEMA_RW.value)(f)
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def load_content(site, host, links): """Tests a site.""" # Security: Verified HTTPS with SSL/TLS http = urllib3.PoolManager( cert_reqs='CERT_REQUIRED', # Force certificate check. ca_certs=certifi.where(), # Path to the Certifi bundle. ) start_page_search = """https://startpage.com/d...
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def include(node): """Add armadillo to header""" program = node.program includes = program[0] arma = "#include <armadillo>" namespace = "using namespace arma ;" if arma in includes and namespace in includes: return if arma not in includes: include = matlab2cpp.collection....
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def flag(request, comment_id, next=None): """ Flags a comment. Confirmation on GET, action on POST. Templates: :template:`comments/flag.html`, Context: comment_id The id of the comment the user is flagging. """ comment = get_object_or_404( get_comment_model(), ...
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def decodeGsm7(encodedText): """ GSM-7 text decoding algorithm Decodes the specified GSM-7-encoded string into a plaintext string. @param encodedText: the text string to encode @type encodedText: bytearray or str @return: A string containing the decoded text @rtype: str """ ...
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def test_atomic_date_time_min_inclusive_nistxml_sv_iv_atomic_date_time_min_inclusive_1_4(mode, save_output, output_format): """ Type atomic/dateTime is restricted by facet minInclusive with value 1970-01-01T00:00:00. """ assert_bindings( schema="nistData/atomic/dateTime/Schema+Instance/NISTS...
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def Setup_Meta(): """Setup_Meta() -> MetaObject""" return _DataModel.Setup_Meta()
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def get_types_dict(): """ :return: type name read in as string to type method mapping """ return {"str": str, "float": float, "int": int}
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def key_pressed(key): """ Takes a key, that's either a keycode or a character, and says if it was pressed down this frame. """ keycode = _to_keycode(key) return (keycode in current_frame_held_buttons) and \ (keycode not in last_frame_held_buttons)
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def makeDir(path, name): """ create dir for the generation process""" print "path", path print "name",name dirname = path + os.sep + name try: os.makedirs(dirname) return dirname except: print "makeDir> ERROR creating dir [%s]: %s" % (dirname, exc_info()[1]) retur...
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def load_gp(param_file=None, **kwargs): """Return two Gaussian Processes objects, either using BSFH's internal GP objects or George. :returns gp_spec: The gaussian process object to use for the spectroscopy. :returns gp_phot: The gaussian process object to use for the photometry. "...
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def monte_carlo(model, num, qobs=None, **kwargs): """Perform Monte-Carlo-Simulation. This function performs a Monte-Carlo-Simulation for any given hydrological model of this repository. Args: model: Any instance of a hydrological model of this repository. num: Number of simulations. ...
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def read_file_sql( path: Union[str, "os.PathLike[Any]"], sql_stmt: str, sql_dialect: str = "SQLITE", layer: Optional[str] = None, ignore_geometry: bool = False, ) -> Union[pd.DataFrame, gpd.GeoDataFrame]: """ Reads a file to a GeoPandas GeoDataFrame, using an sql statement to filter the ...
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def create_class_hierarchy_dict(cls): """Returns the dictionary with all members of the class ``cls`` and its superclasses.""" dict_extension_order = cls.__mro__[-2::-1] # Reversed __mro__ without the 'object' class attrs_dict = {} for base_class in dict_extension_order: attrs_dict.update(vars(...
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def get_column_selection(summary_set): """ Given a analysis_settings summary definition, return either 1. the set of OED columns requested to group by 2. If no information key 'oed_fields', then group all outputs into a single summary_set :param summary_set: summary group dictionary from th...
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def randomForestSearch( operations: OperatorSet, output: List[Individual], start_candidates: List[Individual], max_evaluations: Optional[int] = None, ) -> List[Individual]: """ Perform random search over all possible pipelines. Parameters ---------- operations: OperatorSet An op...
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def month_to_date(month): """ Convert month to date format. Keyword arguments: month -- the month to convert to date format """ month = datetime.strptime(month, '%Y-%m') date = month.strftime('%Y-%m-%d') # eg 2018-02-01 date = datetime.strptime(date, '%Y-%m-%d') # return datetime ob...
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def test_keystore(tmpdir): """ Test functionality of the keystore """ key = 'ABC' store_path = tmpdir.mkdir('key').join('store') key_path = tmpdir.join('key').join('key1') utils.save_key(key, key_path) store = utils.Keystore(store_path) assert store.add_key('TEST', key_path)[1] ...
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def exact_cftime_datetime_difference(a, b): """Exact computation of b - a Assumes: a = a_0 + a_m b = b_0 + b_m Here a_0, and b_0 represent the input dates rounded down to the nearest second, and a_m, and b_m represent the remaining microseconds associated with date a and date ...
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def encode(string): """Encode some critical characters to html entities.""" return string.replace('&', '&amp;') \ .replace('<', '&lt;') \ .replace('>', '&gt;') \ .replace(' ', '&nbsp;&nbsp;') \ .replace('\n', ...
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def rem(x, a): """ x: a non-negative integer argument a: a positive integer argument returns: integer, the remainder when x is divided by a. """ if x == a: return 0 elif x < a: return x else: return rem(x-a, a)
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def update_movie(movie_id): """Route handler for endpoint updating a single movie. Args: movie_id: An int representing the identifier for the movie to update Returns: response: A json object representing info about the updated movie """ movie = Movie.query.get(movie_id) if mov...
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def match_char_style(a, b): """ Name: match_char_style Inputs: - docx.text.run.Run, run from original document (a) - docx.text.run.Run, run for new document (b) Outputs: None Features: Edits a run object with the same font styles, including: - bold, italic, underli...
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def note_list(request): """Notes list view """ notes = NoteTable(Note.objects.all()) RequestConfig(request).configure(notes) return render(request, 'note_list.html', {'notes': notes})
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def getDateTimeFromLocalTimeStamp(ts): """ Get a datetime structure from a timestamp. """ st = datetime.datetime.fromtimestamp(ts).strftime('%Y-%m-%d %H:%M:%S') return st
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def c_roots(n, mu=False): """Gauss-Chebyshev (first kind) quadrature Computes the sample points and weights for Gauss-Chebyshev quadrature. The sample points are the roots of the `n`th degree Chebyshev polynomial of the first kind, :math:`C_n(x)`. These sample points and weights correctly integrat...
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def lamost(dr=2,cat='all'): """ NAME: lamost PURPOSE: Load the LAMOST data INPUT: dr= (2) data release cat= ('all') 'all', 'A', 'M', 'star' (see LAMOST docs) OUTPUT: data table HISTORY: 2016-10-13 - Written - Bovy (UofT) """ filePath= path.lamost...
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def send_aws_email(recipient, email, question, url): """send email using SES, need to update so it can send to anyone""" content = email_content(recipient, question, url) email = Email(to=email, subject='Its been a while...') email.text(content) email.html(content) email.send()
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def get_env_prefix(): """ Automatically identify os_type information which use for install path of bash_completion.d """ TARGET_BIN_PATH = '/usr/local/bin/' os_type = platform.system() cygwin = r'CYGWIN|cygwin' if os_type == "Linux": TARGET_COMPLETION_PATH = "/etc/bash_completio...
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def find_instance_nested(item, instances, match_key=None): """ Recursively find instances from lists, dicts, tuples. `instances` should be a tuple of valid instances If match_key is given the key must match for an instance to be added to the list of found instances. """ matches = [] def v...
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def get_filer_image(image_name="test_file.jpg", name="", original_filename=True): """ Creates and stores an image to filer and returns it :param image_name: the name for the file (default "test_file.jpg") :returns: filer image instance """ image = get_image(image_name) filename = None i...
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def check_output(args): """ Delegates to subprocess.check_output() if it is available, otherwise provides a reasonable facsimile. """ if 'check_output' in dir(subprocess): out = subprocess.check_output(args) else: proc = subprocess.Popen(args, stdout=subprocess.PIPE) out,...
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def import_table(file, sep = ","): """[Import table (csv or xlsx) into memory] Args: file ([string]): [file path] sep (str, optional): [separator character that should be used]. Defaults to ",". Returns: [dataframe]: [the table imported] """ file_path = path_checker(file) ...
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def cli(ctx, dialect, driver, host, port, username, password, database): """Management of database for vmail-setup. User config is loaded from ~/.config/vmail-manager/config.yaml. Priority of options are OPTIONS > USER-CONFIG > DEFAULTS. """ for param in [ ("dialect", dialect), ("d...
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def check_frequency(input): """ Perform counting based on input queries and return queries result. Na wejściu otrzymujemy parę liczb całkowitych - operacja, wartość. Możliwe operacje: 1, x: zlicz x 2, x: usuń jedno zliczenie x jeżeli występuje w zbiorze danych 3, x: wypisz liczbę zliczeń x ...
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def unixtime(tz = None): """ :param tz: [optional] tzinfo :return: int """ return int(dt.datetime.now(tz).strftime('%s'))
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def demo7(response): """在每次请求后运行""" # eg:修改响应头 print(response) print('=========== after func run =============') # response.headers['Content-Type'] = 'application/json;charset=utf-8;' return response
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def build_distance_layers(cyt_coord, nuc_coord, rna_coord, normalized=True): """Compute distance layers as input for the model. Parameters ---------- cyt_coord : np.ndarray, np.int64 Array of cytoplasm boundaries coordinates with shape (nb_points, 2). nuc_coord : np.ndarray, np.int64 ...
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def one_hot_encode(arr, classes=None): """ One-hot encode a 1D array. Based on this StackOverflow answer: https://stackoverflow.com/a/29831596/5863503 Parameters: ----------- arr : array-like An array to be one-hot encoded. Must contain only non-negative integers classes : int or No...
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def sql_connection(): """ Establishes a connection to the SQL file database :return connection object: """ path = os.path.abspath('./Twitter_Scraper_without_API/TwitterDatabase.db') con = sqlite3.connect(path) return con
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def _inc_service_counter(source_service, dest_service, count) -> None: """ _inc_service_counter increments Prometheus byte counters for traffic between gateway and cloud Magma services Args: source_service: traffic source service name used as label dest_service: traffic destination serv...
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def eig_banded(a_band, lower=False, eigvals_only=False, overwrite_a_band=False, select='a', select_range=None, max_ev=0, check_finite=True): """ Solve real symmetric or complex Hermitian band matrix eigenvalue problem. Find eigenvalues w and optionally right eigenvectors v of a:: a ...
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def identity(value): """ Node returning the input value. """ return value
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async def async_unload_entry(hass, entry): """Unload a config entry.""" if CONFIG_MAIN_API_KEY in entry.data: target_domain = "sensor" elif CONFIG_TARGET_NAME in entry.data: target_domain = "binary_sensor" unload_ok = all( await asyncio.gather( *[hass.config_entries.asyn...
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def strip(input_file_name): """ Remove all leading and trailing white-spaces, from 'input_file_name'. And output result into into current directory. Args: input_file_name (str): path to input file Returns: int : number of modified lines. """ modified_lines = 0 pattern = re....
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def InsertVideoGame(cur, con): """ Inserts a new Video Game into the database """ # Get information about the video game print("Enter new Video Game's details:") row = {} row["Name"] = input("Enter the name of the Video Game: ") or None row["ReleaseDate"] = input( "Enter the release date...
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def render_post_ioc_init_elements(ioc: IOC) -> str: """ Render all of the post-iocInit elements for a given IOC instance """ return render_elements(ioc, "render_post_ioc_init")
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def getZnProjectors(xform_op, n_xforms, print_results=False): """ Returns operators which project on to symmetry subspaces associated with a given symmetry transformation if the symmetry group is a cyclic group. Examples of appropriate symmetries are translational or pure rotational symmetry. ...
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def test_page_attrs_from_content_path_(tmp_path, content): """Tests when given a file as the content_path, parse it into data """ fake_path = tmp_path / 'fake_path.md' fake_path.write_text(content) class TestPage(Page): content_path = fake_path t = TestPage() assert t.title== 'Test T...
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def small_caves_multigraph(): """ For each `big_cave` in `big_caves` and for each u, v in the neighborhood of `big_cave`, add an edge (u, v) to `caves`. Afterwards, remove all big caves. The remaining edges between the small caves now have multiplicity that can be used to count paths. """ caves...
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def train_model(): """Train for a fixed number of steps and decode during training.""" rng = jax.random.PRNGKey(0) model = create_model(rng) optimizer = create_optimizer(model, FLAGS.learning_rate) for step in range(FLAGS.num_train_steps): batch = get_batch(FLAGS.batch_size) optimizer, metrics = trai...
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def rescale(arr, low=0, high=1, axis=None): """Return rescaled array, with values scaled between ``low`` and ``high`` Parameters ---------- arr : ndarray numpy array to be rescaled low : float (array scalar) or ndarray, optional specifies the lower value(s) of the rescaled array ...
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def named_numbers(token_vector): """ Function to remove numbers out of an array of sentences. Args: token_vector (array): Array containing tokenized, lowercased sentence. Returns: array: Array containing tokenized sentence removed numbers. """ return token_vect...
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def parse_members_for_workspace(toml_path): """Parse members from Cargo.toml of the worksapce""" with open(toml_path, mode='rb') as f: data = f.read() manifest = data.decode('utf8') regex = re.compile(r"^members\s*=\s*\[(.*?)\]", re.S | re.M) members_block = regex.findall(manifest)[0] ...
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