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def process_datasets(db_conn, box_dir): """Process datasets separately, since they contain one-to-many relationships (1 dataset -> N runs and/or M analyses).""" folder = box_dir / 'datasets' raw_files = folder.glob('EGAD*') parsed_files = ( extract_dataset_info(f) for f in raw_files ) for (result, run_links...
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def steps_d_m( n, d=11, m=5, stopping=None): """ Generate steps for `step_sort()` (Shell sort). These are of the form: x(k) = m * x(k - 1) // d with initial value equal `n`. Must be that `d > m`. If `d=11, m=4`, this is yielding near-optimal empirical performan...
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def run_dataset(data): """ Match features between image pairs. """ images = data.images() start = timer() pairs_matches, preport = matching.match_images(data, images, images) matching.save_matches(data, images, pairs_matches) end = timer() write_report(data, preport, list(pairs_matches.ke...
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def nearest(x, xp, fp=None): """ Return the *fp* value corresponding to the *xp* that is nearest to *x*. If *fp* is missing, return the index of the nearest value. """ if len(xp) == 1: if np.isscalar(x): return fp[0] if fp is not None else 0 else: return np.a...
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def generate_warning_message(content: str): """ Receives the WARNING message content and colorizes it """ return ( colorama.Style.RESET_ALL + colorama.Fore.YELLOW + f"WARNING: {content}" + colorama.Style.RESET_ALL )
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def extract_Heff_params(params, delta): """ Processes the VUMPS params into those specific to the effective Hamiltonian eigensolver. """ keys = ["Heff_tol", "Heff_ncv", "Heff_neigs"] Heff_params = {k: params[k] for k in keys} if params["adaptive_Heff_tol"]: Heff_params["Heff_tol"] ...
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def illumination_correction(beam_size: sc.Variable, sample_size: sc.Variable, theta: sc.Variable) -> sc.Variable: """ Compute the factor by which the intensity should be multiplied to account for the scattering geometry, where the beam is Gaussian in shape. :param beam_size:...
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def get_subscription_query_list_xml(xml_file_path): """ Extract the embedded windows event XML QueryList elements out of a an XML subscription setting file """ with open(xml_file_path, 'rb') as f_xml: x_subscription = lxml.etree.parse(f_xml) # XPath selection requires namespace to used! x_subscript...
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async def create_state_store() -> StateStore: """Create a ready-to-use StateStore instance.""" deck_data = DeckDataProvider() # TODO(mc, 2020-11-18): check short trash FF deck_definition = await deck_data.get_deck_definition() deck_fixed_labware = await deck_data.get_deck_fixed_labware(deck_definit...
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def get_stream(name: Optional[str] = None, tags: Optional[Mapping[str, str]] = None, opts: Optional[pulumi.InvokeOptions] = None) -> AwaitableGetStreamResult: """ Use this data source to get information about a Kinesis Stream for use in other resources. For more details, s...
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def get_vlan_config_commands(vlan, vid): """Build command list required for VLAN configuration """ reverse_value_map = { "admin_state": { "down": "shutdown", "up": "no shutdown" } } if vlan.get('admin_state'): # do we need to apply the value map? ...
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def kdf(): """ Returns a dataframe with a few values for generic testing """ return ks.DataFrame( { "x": [36.12, 47.32, 56.78, None], "y": [28.21, 87.12, 90.01, None], "names": ["geography", "place", "location", "geospatial"], } )
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def _process_endnotes_in_file(filename: str, root: Path, note_range: range, step: int) -> None: """ Helper function for reordering endnotes. This has to be outside of the class to be able to be called by `executor`. """ with open(root / filename, "r+", encoding="utf-8") as file: xhtml = file.read() processed...
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def build_name(prefix: str, source_ind: int, name: Path) -> str: """Build a package name from the index and path.""" if name.name.casefold() == '__init__.py': name = name.parent name = name.with_suffix('') dotted = str(name).replace('\\', '.').replace('/', '.') return f'{prefix}_{source_ind:...
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def step(x, mu, sigma, bkg, a): """ A step function template Can be used as a component of other fit functions """ step_f = bkg + a * erfc((x-mu)/(np.sqrt(2)*sigma)) return step_f
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def parse_args(): """Command line argument parsing.""" global flag_serial try: optlist, args = getopt.getopt(sys.argv[1:], "d") except getopt.GetoptError as err: # unrecognized option usage(str(err)) if not args or len(args) != 1: usage("supply a single device serial number as argument") fl...
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def run(): """Entrypoint for 'neurotin.preprocessing.pipeline'.""" parser = argparse.ArgumentParser( prog="NeuroTin", description="NeuroTin auto-preprocessing pipeline." ) parser.add_argument( "dir_in", type=str, help="folder where FIF files to process are stored.", )...
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def json_line_to_track(line): """Converts a json line to an appropriate Track object """ track_dct = json.loads(line) # Clean up word count dictionary wc_dct = {} for word_id, word_count in track_dct['wordcount'].iteritems(): wc_dct[int(word_id)] = int(word_count) track = Track(track...
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def update_planting( key, secret, planting_info, ): """Updates a specified planting. API reference: https://docs.awhere.com/knowledge-base-docs/field-plantings/ Parameters ---------- key : str API key for a valid aWhere API application. secret : str API secret for a valid ...
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def check_for_multiple(files): """ Return list of files that looks like a multi-part post """ for regex in _RE_MULTIPLE: matched_files = check_for_sequence(regex, files) if matched_files: return matched_files return ""
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def get_density2D(f,data,steps=100): """ Calcule la densité en chaque case d'une grille steps x steps dont les bornes sont calculées à partir du min/max de data. Renvoie la grille estimée et la discrétisation sur chaque axe. """ xmin, xmax = data[:,0].min(), data[:,0].max() ymin, ymax = data[:,1].min(), data[:,1].m...
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def draw_cards_command(instance, player, arguments): """ Draw cards from the deck and put them into the calling player's hand. Args: instance: The GameInstance database model for this operation. player: The email address of the player requesting the action. arguments: A list of arguments to this comman...
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def recipe_content(*, projects_base, project, recipe): """ Returns the content of a recipe in a project, based on the projects base path, and the project and recipe name. Kwargs: projects_base (str): base path for all projects, e.g. ...
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def mock_is_dir_true(monkeypatch): """Fake directory exists.""" mock_is_dir = mock.Mock() mock_is_dir.return_value = True monkeypatch.setattr("version_hunter.versioner.os.path.isdir", mock_is_dir)
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def precision_score( y_true: str, y_score: str, input_relation: Union[str, vDataFrame], cursor=None, pos_label: (int, float, str) = 1, ): """ --------------------------------------------------------------------------- Computes the Precision Score. Parameters ---------- y_true: str Response col...
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def new_deployment(name): """ Creates a new deployment in the /deployments directory. Usage: `drone-deploy new NAME` Where NAME == a friendly name for your deployment. Example: `drone-deploy new drone.yourdomain.com` """ # create the deployment/$name directory deployme...
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def GenerateConfig(context): """Returns a list of configs and waiters for this deployment. The configs and waiters define a series of phases that the deployment will go through. This is a way to "pause" the deployment while some process on the VMs happens, checks for success, then goes to the next phase. Th...
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def test_get_row_ngrams(mention_setup): """Test the get_row_ngrams function.""" mentions = mention_setup assert mentions[52].get_span() == "saag" assert list(get_row_ngrams(mentions[52])) == ["paneer"] + ["joan"] + ["medium"] + [ "$", "11", ] # when a mention is not tabular ...
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def test_config_restore_from_model_state(): """ Test restoring object from full model state """ state = {'__model__': 'cryptater.app.config.ConfigOptions', '__ref__': 'f6422d2cb1681771eed6d4ada89f28', '_id': '', 'loglevel': 'DEBUG'} cfg = asyncio.run(ConfigOptions.restore(state)) asser...
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def _format_param_value(value_repr): """ Format a parameter value for displaying it as test output. The values are string obtained via Python repr. """ regexs = ["^'(.+)'$", "^u'(.+)'$", "^<class '(.+)'>$"] for regex in regexs: m = re.match(regex, value_repr...
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def HackMaxTime(maxTime=8*60*60): """Set maxTime default value to 8 hours. This function must be called before adding steps.""" from buildbot.process.buildstep import RemoteShellCommand assert RemoteShellCommand.__init__.func_defaults == (None, 1, 1, 1200, None, {}, 'slave-config', True) RemoteShellComm...
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def redis_get_keys(duthost, db_id, pattern): """ Get all keys for a given pattern in given redis database :param duthost: DUT host object :param db_id: ID of redis database :param pattern: Redis key pattern :return: A list of key name in string """ cmd = 'sonic-db-cli {} KEYS \"{}\"'.for...
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def data_process(X, labels, window_size, missing): """ Takes in 2 numpy arrays: - X is of shape (N, chm_len) - labels is of shape (N, chm_len) And returns 2 processed numpy arrays: - X is of shape (N, chm_len) - labels is of shape (N, chm_len//window_size) """ # Re...
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def check_response_status(curr_response, full_time): """Check response status and return code of it. This function also handles printing console log info Args: curr_response (str): Response from VK API URL full_time (str): Full format fime for console log Returns: int: Sta...
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def height_to_amplitude(height, sigma): """ Convert height of a 1D Gaussian to the amplitude """ return height * sigma * np.sqrt(2 * np.pi)
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def get_param_value(val, unit, file, line, units=True): """ Grab the parameter value from a line in the log file. Returns an int, float (with units), bool, None (if no value was provided) or a string (if processing failed). """ # Remove spaces val = val.lstrip().rstrip() # Is there a v...
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def assert_array_equal(x: numpy.ndarray, y: List[Union[float, int]]): """ usage.scipy: 7 usage.seaborn: 2 usage.sklearn: 2 """ ...
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def exact_auc(errors, thresholds): """ Calculate the exact area under curve, borrow from https://github.com/magicleap/SuperGluePretrainedNetwork """ sort_idx = np.argsort(errors) errors = np.array(errors.copy())[sort_idx] recall = (np.arange(len(errors)) + 1) / len(errors) errors = np.r_[0.,...
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def avalanche_basic_stats(spike_matrix): """ Example ------- total_avalanches, avalanche_sizes, avalanche_durations = avalanche_stats(spike_matrix) """ total_spikes = spike_matrix.sum(axis=0) total_spikes = np.hstack(([0], total_spikes)) # Assure it starts with no spike avalanche = pd.S...
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def parse_jax_dot_general(parameters, innodes): """ Parse the JAX dot_general function. Parameters ---------- parameters: A dict containing the parameters of the dot_general function. parameters['dimension_numbers'] is a tuple of tuples of the form ((lhs_contracting_dims, rhs_contra...
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def get_stratum_alert_data(threshold: float, notification_channel: int) -> Dict[str, Any]: """ Gets alert config for when stratum goes below given threshold :param threshold: Below this value, grafana should send an alert :type description: float :param notification_channel: Id of the noti...
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def opponent1(im, display=False): """ Generate Opponent color space. O3 is just the intensity """ im = img.norm(im) B, G, R = np.dsplit(im, 3) O1 = (R - G) / np.sqrt(2) O2 = (R + G - 2 * B) / np.sqrt(6) O3 = (R + G + B) / np.sqrt(3) out = cv2.merge((np.uint8(img.normUnity(O1) * 255), ...
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def shuffle_multiset_data(rv, rv_err): """ """ #shuffle RV's and their errors comb_rv_err = zip(rv, rv_err) random.shuffle(comb_rv_err) comb_rv_err_ = [random.choice(comb_rv_err) for _ in range(len(comb_rv_err))] rv_sh, rv_err_sh = zip(*comb_rv_err_) return np.array(rv_sh), np.array...
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def parse_pubdate(text): """Parse a date string into a Unix timestamp >>> parse_pubdate('Fri, 21 Nov 1997 09:55:06 -0600') 880127706 >>> parse_pubdate('2003-12-13T00:00:00+02:00') 1071266400 >>> parse_pubdate('2003-12-13T18:30:02Z') 1071340202 >>> parse_pubdate('Mon, 02 May 1960 09:0...
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def test_draw_group(client): """attempt to draw a lottery as a group 1. make some applications to one lottery as a group 2. draws the lottery 3. test: status code 4. test: DB is changed 5. test: result of each member (win) target_url: /lotteries/<id>/draw [POST] "...
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def find_ngram(x: np.ndarray, occurence: int= 2) -> List[int]: # add token """ Build pairwise of size occurence of conssecutive value. :param x: :type x: ndarray :param occurence: number of succesive occurence :type occurence: int :return: :rtype: Example: -------- >>> a = n...
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def list2ids(listf, verbose=False): """ Read a list of ids, one per line :param listf: file of ids :param verbose: more output :return: a set of IDS """ if verbose: sys.stderr.write(f"{bcolors.GREEN} Reading IDs from text file: {listf}{bcolors.ENDC}") i=set() with open(listf, '...
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def ewma(current, previous, weight): """Exponentially weighted moving average: z = w*z + (1-w)*z_1""" return weight * current + ((1.0 - weight) * previous)
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def test_values_int(): """ Ensures that parsing an int produces the expected tree """ result = parse('3\n') expression = result.block.rules.absolute_expression.expression entity = get_entity(expression) assert entity.values.number.child(0) == Token('INT', 3)
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def create( filename, config_file, cancel_on_blocking_job_failure, minutes_per_job, shuffle, strip_whitespace, verbose, ): """Create a config file from a filename with a list of executable commands.""" level = logging.DEBUG if verbose else logging.WARNING setup_logging("auto_conf...
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def srs_double(f): """ Creates a function prototype for the OSR routines that take the OSRSpatialReference object and """ return double_output(f, [c_void_p, POINTER(c_int)], errcheck=True)
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def atmost_one(*args): """Asserts one of the arguments is not None Returns: result(bool): True if exactly one of the arguments is not None """ return sum([1 for a in args if a is not None]) <= 1
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def _get_default_group(): """ Getting the default process group created by :func:`init_process_group`. """ if not is_initialized(): raise RuntimeError( "Default process group has not been initialized, " "please make sure to call init_process_group." ) return ...
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def switchon(dev, i): """ Switches outlet i of the device on. @param dev: device @param i: outlet """ assert i >= getminport(dev) and i <= getmaxport(dev) enable(dev) buf = bytes([0x00]); # Read status buf = dev.ctrl_transfer(0xC0, 0x0c, 0x0000, 0x01, buf, 500) if len(buf) == 0: raise RuntimeError("re...
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def test_inquire_telkom_response(setup_http_response, generate_sepulsa_response, assert_inquire_telkom_bill): """ simulate success inquire telkom response from sepulsa """ sepulsa_response = generate_sepulsa_response("INQUIRE_TELKOM") mock_http_response = setup_http_respons...
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def string_parameter(name, in_, description=None): """ Define a string parameter. Location must still be specified. """ return parameter(name, in_, str, description=description)
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def change_time(plan: Plan, items: dict): """Change arrival and departure time for each place in the plan. Args: plan: plan object selected to modify the place times. items: modify information received from POST method. """ for place in items: if place['arrival'] != "": ...
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def _transform_request(request): """ Convert from bytes/json/etc to dict of tf.tensor/np.array/etc :param request: :return: """ # TODO: Uncomment out one of the examples below - or provide your own implementation # # Note: The dict keys used below (ie. 'image') depend on the TF Signatur...
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def greater_version(versionA, versionB): """ Summary: Compares to version strings with multiple digits and returns greater Returns: greater, TYPE: str """ try: list_a = versionA.split('.') list_b = versionB.split('.') except AttributeError: return versio...
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def test_a_command(vim_bot): """Append text after the cursor.""" main, editor_stack, editor, vim, qtbot = vim_bot editor.stdkey_backspace() editor.go_to_line(2) # editor.stdkey_up(True) editor.moveCursor(QTextCursor.StartOfLine, QTextCursor.KeepAnchor) cmd_line = vim.get_focus_widget() l...
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def copy_env_files(src_prefix, dest_prefix): """Export a copy of conda env var files to local dir. Args: src_prefix (pathlib.Path): - Path prefix for env files dest_prefix (pathlib.Path): - Destination path prefix """ src_paths = load_env_paths(src_prefix) ...
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def create_starting_samples(run_dict, space_obj, start_from_last_gen): """ Load the starting samples for the optimization run. Parameters ---------- run_dict : dict The dictionary with user-defined values for the characterization of the optimization. space_obj : object ...
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def py_repl_close(): """Function to close the REPL""" pass
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def get_post_mapping(content): """This function extracts blog post title and url from response object Args: content (request.content): String content returned from requests.get Returns: list: a list of dictionaries with keys title and url """ post_detail_list = [] post_soup = ...
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def transform(original_documentation_dir, generated_docs_dir, version, options=None): """ Given a raw repo directory contents, perform the following steps (conditional to the repo): - Generate the output HTML contents from its source content generator engine. - Strip their contents from the static files...
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def get_output_foldername(start_year: int, end_year: int) -> str: """ Create an output folder and return its name """ folder_name = "app/data/{}-{}".format(start_year, end_year) if not os.path.exists(folder_name): os.mkdir(folder_name) return folder_name
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def test_raises_exception_when_temp_too_low(): """Checks if exception is raised if Fridge class is instantiated with temp below 1.""" with pytest.raises(ValueError, message="Ice cream or beer Sir?"): wrong_temp_fridge = Fridge("INV2401PH", temp=0)
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def test__get_max_wt(): """Testing the sampling function""" lows = np.array( [ [0.0, 0.0, 0.0, 0.0], [-1.0, -1.0, -1.0, -1.0], [-2.0, -2.0, -2.0, -2.0], [2.0, 2.0, 2.0, 2.0], ] ) highs = np.array( [ [1.0, 1.0, 1.0, 1.0],...
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def _dict_attribute_help(object_name, path, parent_object_names, attribute): """ Get general help information or information on a specific attribute. See get_help(). :param (str|unicode) attribute: The attribute we'll get info for. """ help_dict = { 'object_name': object_name, ...
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def len_iter(iterator): """Count items in an iterator""" return sum(1 for i in iterator)
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def clones(module, N): """Produce N identical layers.""" return nn.ModuleList([copy.deepcopy(module) for _ in range(N)])
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def form_transfer(form): """ :param form: formula in string type. e.g. 'y~x1+x2|id+firm|id',dependent_variable~continuous_variable|fixed_effect|clusters :return: Lists of out_col, consist_col, category_col, cluster_col, fake_x, iv_col respectively. """ form = form.replace(' ', '') out_col, con...
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def test_dfs_radar_chanlist(dev, apdev): """DFS chanlist when radar is detected""" try: hapd = None hapd = start_dfs_ap(apdev[0], chanlist="40 44", allow_failure=True) time.sleep(1) dfs_simulate_radar(hapd) ev = wait_dfs_event(hapd, "DFS-CAC-COMPLETED", 5) if ev...
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def merge_metadata(preprocess_output_dir, transforms_file): """Merge schema, analysis, and transforms files into one python object. Args: preprocess_output_dir: the output folder of preprocessing. Should contain the schema, and the numerical and categorical analysis files. transforms_file: ...
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def get_user(request): """ Returns the user model instance associated with the given request session. If no user is retrieved an instance of `MojAnonymousUser` is returned. """ user = None try: user_id = request.session[SESSION_KEY] token = request.session[AUTH_TOKEN_SESSION_KEY]...
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def main(database): """ :type database: db.BlogDB """ sqls = [] sql_create_articles = 'CREATE TABLE {} '.format(database.table_name['articles']) + \ '(id INTEGER PRIMARY KEY AUTOINCREMENT, slug CHAR(100) NOT NULL UNIQUE, cat_id INT,' + \ 'ti...
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def fav_rate(y_pred_group): """ Gets rate of favorable outcome. :param y_pred_group: Model-predicted labels of test set for privileged/unprivileged group :type y_pred_group: `np.array` :return: rate of favorable outcome :rtype: `float` """ if y_pred_group == []: return 0 els...
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def parse_date(datestring): """ Parse a date/time string into a tuple of integers. :param datestring: The date/time string to parse. :returns: A tuple with the numbers ``(year, month, day, hour, minute, second)`` (all numbers are integers). :raises: :exc:`InvalidDate` when the date ca...
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def read_datafiles(filepath): """ Example function for reading in data form a file. This needs to be adjusted for the specific format that will work for the project. Parameters ---------- filepath : [type] [description] Returns ------- [type] [descriptio...
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def test_cte_patch(transacted_postgresql_db, query, alias): """Tests patching a CTE""" patch = pgmock.patch(pgmock.cte(alias), [('val1.1', 'val2.1'), ('val1.2', 'val2.2')], ['c1', 'c2']) sql = pgmock.sql(query, patch) res = transacted_postgresql_db.conn...
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def get_outputs(var_target_total, var_target_primary, reg, layer): """Construct standard `vlne` output layers.""" outputs = [] if var_target_total is not None: target_total = Dense( 1, name = 'target_total', kernel_regularizer = reg )(layer) outputs.append(target_total...
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def getJsonPath(name, moduleFile): """ 获取JSON配置文件的路径: 1. 优先从当前工作目录查找JSON文件 2. 若无法找到则前往模块所在目录查找 """ currentFolder = os.getcwd() currentJsonPath = os.path.join(currentFolder, name) if os.path.isfile(currentJsonPath): jsonPathDict[name] = currentJsonPath return currentJsonPa...
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def flatten_list(l): """ Function which flattens a list of lists to a list. """ return functools.reduce(operator.iconcat, l, [])
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def js_to_python(in_file, out_file=None, use_qgis=True, github_repo=None): """Converts an Earth Engine JavaScript to Python script. Args: in_file (str): File path of the input JavaScript. out_file (str, optional): File path of the output Python script. Defaults to None. use_qgis (bool, ...
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def getPutDeltas(delta, optType): """ delta: array or list of deltas optType: array or list of optType "C", "P" :return: """ # otm_x = put deltas otm_x = [] for i in range(len(delta)): if optType[i] == "C": otm_x.append(1-delta[i]) else: otm_x.appe...
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def test_folders_has_path_long(list_folder_path, max_path=260): """tests a serie of folders if any of them has files whose pathfile has a larger length than stipulated in max_path Args: list_folder_path (list): list of folder_path to be tested max_path (int, optional): max file_path len per...
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def get_positive_empirical_prob(labels: tf.Tensor) -> float: """Given a set of binary labels, determine the empirical probability of a positive label (i.e., the proportion of ones). Args: labels: tf.Tensor, batch of labels Returns: empirical probability of a positive label """ n_pos_labels = tf.math...
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def xonsh_builtins(xonsh_events): """Mock out most of the builtins xonsh attributes.""" builtins.__xonsh_env__ = DummyEnv() if ON_WINDOWS: builtins.__xonsh_env__['PATHEXT'] = ['.EXE', '.BAT', '.CMD'] builtins.__xonsh_ctx__ = {} builtins.__xonsh_shell__ = DummyShell() builtins.__xonsh_hel...
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def RELOAD(): """ RELOAD - reload the environment variable handler, envvar_handler """ global envvar_handler envvar_handler = ColabEnvHandler()
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def episode_reset(): #Hàm thiết lập lại episode cho quá trình warmup và training """ Resets the episode/conversation in the warmup and training loops. Called in warmup and train to reset the state tracker, user and agent. Also get's the initial user action. """ # First reset the state tra...
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def networks_get_by_id(context, network_id): """Get a given network by its id.""" return IMPL.networks_get_by_id(context, network_id)
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def get_particles(range_diff, image, clustering_settings): """Get the detections using Gary's original method Returns a list of particles and their properties Parameters ---------- range_diff: output from background subtraction image: original image frame for intensity calculat...
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def validate_file(file): """Validate that the file exists and is a proper puzzle file. Preemptively perform all the checks that are done in the input loop of sudoku_solver.py. :param file: name of file to validate :return True if the file passes all checks, False if it fails """ try: o...
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def poly(coeffs, n): """Compute value of polynomial given coefficients""" total = 0 for i, c in enumerate(coeffs): total += c * n ** i return total
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def group_by_vals( features: Iterable[feature] ) -> Dict[Hashable, Tuple[feature, ...]]: """ Construct a dict grouping features by their values. Returns a dict where each value is mapped to a tuple of features that have that value. Does not check for duplicate features. :param features: A...
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def show_error(msg): """ Show an error message and exit """ log.critical("Error: %s" % msg) sys.exit(1)
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def sync_users(api_token, input_filepath): """ Load local User data, get system User data, compare and add users to system """ sc_client = sp.SafetyCulture(api_token) logger = import_grs.configure_logger() # Validating the CSV input first dataValidator = open(input_filepath,'r') reader=...
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def observe_queue(env, cafe, obs_time, queue_length): """ Process to observe the queue length during a simulation. Args: env (simpy.Environment): the simulation environment cafe (CafeJava): the cafe to observe obs_time (list): the observation times queue_length (list): the obser...
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async def pingme(pong): """ .ping komutu userbotun ping değerini herhangi bir sohbette gösterebilir. """ start = datetime.now() await pong.edit("`Pong!`") end = datetime.now() duration = (end - start).microseconds / 1000 await pong.edit("`Pong!\n%sms`" % (duration))
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def coords2cells(coords, meds, threshold=15): """ Single plane method with KDTree. Avoid optotune <-> holography mismatch weirdness. Threshold is in pixels. """ holo_zs = np.unique(coords[:,2]) opto_zs = np.unique(meds[:,2]) matches = [] distances = [] ismatched = [] for hz, oz...
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