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def check_session(): """ Checks validity of session using only required() decorator """ return '{}'
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def gaussian(area, mean=0, sigma=0.8): """ mean 均值, sigma 標準差 輸出縮限到0~1之間 """ noise = np.random.normal(mean, sigma, area) return np.clip(noise, 0, 1)
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import torch def direction_to_index(direction: str) -> int: """Converts string representation of direction into integer Parameters ---------- direction: str "UP", "DOWN", "LEFT", "RIGHT Returns ------- direction_onehot: torch.LongTensor Integer representation of the direc...
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def histo_analysis(hist_data): """ Calculates the mean and standard deviation of derivatives of (x,y) points. Requires at least 2 points to compute. parameters: hist_data: list of real coordinate point data (x, y) return: Dictionary with (mean, deviation) as keys to corresponding values """ if len(hist_data[0...
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import typing def check_if_object_exists( local_uri: str, file_loc: str, obj_type: str, search_data: typing.Dict, token: str = None, ) -> str: """Checks if a data product is already present in the registry Parameters ---------- local_uri : str local registry endpoint f...
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def platform(): """ :return (string): returns the name of the platform """ return "circadia sunrise lamp"
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from re import T def Adam(loss, all_params, learning_rate=0.001, b1=0.9, b2=0.999, e=1e-8, gamma=1-1e-8): """ ADAM update rules Default values are taken from [Kingma2014] References: [Kingma2014] Kingma, Diederik, and Jimmy Ba. "Adam: A Method for Stochastic Optimization." arXiv p...
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def _ggm_prob_wait_whitt_z(ca2, cs2): """ Equation 3.8 on p139 of Whitt (1993). Used in approximation for P(Wq > 0) in GI/G/c/inf queue. See Whitt, Ward. "Approximations for the GI/G/m queue" Production and Operations Management 2, 2 (Spring 1993): 114-161. Parameters ---------- ca2 : flo...
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def date(m=0,d=0): """ returns all the fun holidays on the specified date """ holidays = holidays_date(m, d) if not holidays: return jsonify(holidays), status.HTTP_400_BAD_REQUEST return jsonify({"day": d, "month": m, "holidays": [h.holiday for h in holidays]})
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def pproc_Mindlin_2d(size, shape: nparray, points: nparray, solution: nparray, D: nparray, S: nparray): """ JIT-compiled function that calculates post-processing quantities at selected ponts for multiple left- and right-hand sides. Parameters ---------- size : tuple...
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from typing import Tuple from typing import Optional def test_error_bounded_no_exception() -> None: """Test error bounded decorator during happy case.""" def mock_fun() -> Tuple[Optional[AppError], bool]: return AppError(ErrorCode.GOOGLE_API_ERROR, "google error"), False wrapper = error_bounded(...
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def attack_single_target(caller,target, attack): """ Launch an attack on a single EC2 instance. :param caller: Calling menu to return to. :param target: Target EC2 instance id :param attack: The attack to launch. :return: True """ global ec2instances target_id = '' target_platfor...
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from typing import Any def login_access_token( response: Response, db: Session = Depends(deps.get_db), form_data: OAuth2PasswordRequestForm = Depends() ) -> Any: """ OAuth2 compatible token login, get an access token for future requests """ user = crud.user.authenticate( ...
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def parse_method(name): """Parse hyperparameters from string name to make legend label. Parameters ---------- name : str Name of method Returns ------- string : str Formatted string """ string = r"" if name.split('es_')[1][0] == '1': string += r'ES' ...
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import pathlib def update_game_index(path: pathlib.Path, source: str, league: str, df: pd.DataFrame) -> pd.DataFrame: """Update the game index for league with data from source.""" league = league.replace(" ", "").replace("-", "") (path/league).mkdir(exist_ok=Tru...
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import itertools def find_td_chordal(graph, order): """Finding a tree decomposition for chordal graphs.""" cliques = find_all_maximal_cliques(graph, order) H = Graph() # graf przeciec klik maksymalnych bag_dict = dict() # Budowanie workow. for c in cliques: bag = tuple(sorted(c)) ...
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def get_categories() -> pd.DataFrame: """Returns dataframe of tesco food categories""" return pd.read_csv(TESCO_DIR / "food_categories.csv")
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def Transformer(input_vocab_size, output_vocab_size=None, d_model=512, d_ff=2048, n_encoder_layers=6, n_decoder_layers=6, n_heads=8, dropout=0.1, dropout_shared_axes=None, max_...
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def schedule_conv2d_NHWC_quantized_native_without_transform(cfg, outs): """Interface for native schedule_conv2d_NHWC_quantized""" return _schedule_conv2d_NHWC_quantized(cfg, outs, False)
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def mentions(date, aliases): """Pull dark web mentions data for an organization.""" # aliases = aliases.replace("'", '"') # aliases = str(aliases)[1:-1] mentions = "" for mention in aliases: mentions += '"' + mention + '"' + "," mentions = mentions[:-1] print(mentions) query = "s...
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import queue def queue_with(items): """Return a thread-safe iterator that yields the given items. +items+ can be given as an array or an iterator. If an iterator is given, it will be consumed to fill the queue before queue_with() returns. """ q = queue.Queue() for val in items: q....
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import math def resample_by(image_array, compression_factor_list, is_seg=False): """ Resamples `image` to new resolution according to a compression factor using scipy's `ndimage` Attributes: image_array (float, np.array) : Array of voxel values for image compression_factor_list (list) : ...
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def get_highlight(request): """ Get Originals objects with highlight status and render them. """ highlight = Original.objects.filter(status='h') context = { 'highlight': highlight, 'highlight_page': 'active', 'title': 'Highlights' } return render(request, "highli...
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def pin_compatible(m, package_name, lower_bound=None, upper_bound=None, min_pin='x.x.x.x.x.x', max_pin='x', permit_undefined_jinja=True): """dynamically pin based on currently installed version. only mandatory input is package_name. upper_bound is the authoritative upper bound, if provid...
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def _get_etc_dir(): """The root directory of xedge, such as `/home/gamecenter/etc`""" return os_path.join(os_path.dirname(os_path.abspath(__file__)), os_path.pardir, 'etc')
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from pathlib import Path def _sandbox_executable() -> Path: """Return full path to Algorand's sandbox executable.""" return ConfigParams.sandbox_dir / "sandbox"
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def _get_file_contents(path): """ Gets the contents of a specified file, ensuring that the file is properly closed when the function exits """ with open(path, "r") as f: return f.read()
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from firebase_admin import auth from Pages.UserAuthentication.Exceptions import User_not_Found import traceback def get_user_by_phone_number(phone): """ Returns a user object that is dictionary of the user with attributes: display_name , email , password, phone_number """ try: user = auth.get_user_by_phone_n...
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import re def get_root_server(domain): """ Find the WHOIS server for a given domain :param domain: The domain to find a WHOIS server for :return: The WHOIS server, or an empty string if no server is found """ data = whois_request(domain, "whois.iana.org").response or "" for line in [x.stri...
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def sample_user(email='test@test.com',password='testpass'): """Create a sample user""" return get_user_model().objects.create_user(email,password)
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def getsubheader(runid,snapnum,datadir=None,datascope=False,getfof=False,verbose=False): """Reads the SUBFIND header (total number of subhalos) of an Indra snapshot. Parameters ---------- runid : int or tuple Specifies the Indra run either as an integer from 0 to 511 or as a length ...
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import json def clickwrap_responses(): """ 1. Get required arguments 2. Call the worker method 3. Render the response """ # 1. Get required arguments args = Eg005Controller.get_args() try: # 2. Call the worker method to get clickwrap responses results = Eg005Controller...
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def get_confirm_token(response): """ Filters response for confirm token. :param Response response: Response object to filter through. :returns: token or None """ for key, value in response.cookies.items(): if key.startswith('download_warning'): return value return None
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import math def wilcoxont(x, y): """ Calculates the Wilcoxon T-test for related samples and returns the result. A non-parametric T-test. Usage: lwilcoxont(x,y) Returns: a t-statistic, two-tail probability estimate """ if len(x) != len(y): raise ValueError('Unequal N in wilcoxont. Aborting.') ...
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import textwrap def msgfmt(msg, prefix=''): """Format a message""" lines = [] for line in msg.splitlines(): lines += textwrap.wrap(line, 80 - len(prefix)) return '\n'.join([prefix + line for line in lines])
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def _parse_text(raw_object: RawObject) -> Text: """Parse the raw object into Text. Args: raw_object: Raw object to be parsed to a Text Returns: Text: The Text object created from the raw object """ # required attributes raw_text: RawText = raw_object["text"] text = raw_text...
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def _is_onetime_boot(task): """Check onetime boot from server hardware. Check if the onetime boot option of an OneView server hardware is set to 'Once' in iLO. :param task: a task from TaskManager. :returns: Boolean value. True if onetime boot is 'Once' False otherwise. """ s...
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def get_setting(name: str) -> Setting: """Return appropriate setting.""" if name not in SETTINGS: raise Exception( "Setting does not exist. Valid settings are: %s" % list(SETTINGS.keys()) ) return SETTINGS[name]
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def convertKeyValueToString(dict,key) -> str: """ converts a single key value pair into a concatenated string""" if dict and key: # force cast key to string val = dict[key] valStr = str(val) keyStr = str(key) concantStr = keyStr + valStr else: concantStr = ""...
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def _flatten(seq): """Internal function.""" res = () for item in seq: if isinstance(item, (tuple, list)): res = res + _flatten(item) elif item is not None: res = res + (item,) return res
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import uuid def get_uuid(value): """ gets the uuid object of given value. it raises an error if value is not a valid uuid string. :param str value: value to get uuid instance from it. :raises ValueError: value error. :rtype: uuid.UUID """ return uuid.UUID(value)
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from .plugin import create_vocabulary def tag_autocomplete(): """ CKAN autocomplete discards vocabulary_id from request. This is modification from tag_autocomplete function from CKAN. Takes vocabulary_id as parameter. """ q = request.args.get('incomplete', '') limit = request.args.get(...
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from opf_python.universal import get_HNF_diagonals def hex_22(n): """Finds the symmetry preserving HNFs for the hexagonal lattices with a determinant of n. Assuming A = [[0,0,-0.5],[1,0,0],[-0.5,0.8660254037844386,0]]. Args: n (int): The determinant of the HNFs. Returns: spHNFs (list...
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def preprocess_int(i, **options): """Convert a string to an integer.""" return str(i)
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def es_cadena_valida(adn): """ Ingresa una cadena y determina si es valida o no :param adn: Ingresa unos caracteres en mayuscula para validar si estan o no en el rango :return: True o False si es o no cadena respectivamente >>> es_cadena_valida('AGATA') True >>> es_cadena_valida('GATA') ...
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def legendre_basis(x_data, n_state=2, domain=(0, 1), chunks=(1,)): """ legendre discretization of a microstructure. Args: x_data (ND array) : The microstructure as an `(n_samples, n_x, ...)` shaped array where `n_samples` is the number of samples and `n_x` is the spatial dis...
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def redemption_group_counts(): """ Build integers which can represent the number of groups in the redemption process. """ return integers( min_value=1, # Make this similar to the max_value of voucher_counters since those # counters count through the groups. max_value=...
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def ThetaV(pressures, temps_cent, dewp_temps_cent): """Virtual Potential Temperature INPUTS temp_k (K) pres (Pa) e: Water vapour pressure (Pa) (Optional) """ mixr = WaterVapourMixingRatio(pressures, dewp_temps_cent) theta = Theta(pressures, temps_cent, dewp_temps_cent) return...
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def cluster_smiles(smiles: list, clustering_cutoff: float = 0.4): """ Cluster smiles based on their Murcko scaffold using the Butina algorithm: D Butina 'Unsupervised Database Clustering Based on Daylight's Fingerprint and Tanimoto Similarity: A Fast and Automated Way to Cluster Small and Large Data Sets',...
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def is_uri(name): """Checks whether the name is a URI or not. :param name: Name of the resource :returns: True if name is URI, False otherwise """ try: (urn, prod, trailer) = name.split(':', 2) return (urn == 'urn' and prod == PROD_NAME) except Exception: return False
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def query_flask_state(): """ Query the local state and redis status :return: flask response """ try: b2d = request.json if not isinstance(b2d, dict): logger.warning(ErrorMsg.DATA_TYPE_ERROR).get_msg( '.The target type is {}, not {}'.format(dict.__name__, t...
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def calc_delta_L_dash_CS_R_d_t_i(i, region, Q, r_A_ufvnt, underfloor_insulation, A_A, A_MR, A_OR, A_HCZ_i, Theta_ex_d_t, L_dash_H_R_d_t_i, L_dash_CS_R_d_t_i): """当該住戸の暖冷房区画iの床下空間を経由して外気を導入する換気方式による冷房顕熱負荷削減量 (MJ/h) (2) Args: i(int): 暖冷房区画の番号 region(int): 省エネルギー地域区分 ...
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import torch import random import math def select_action(state, valueNetwork, episodeNumber, numTakenActions, args): """ Take action a with ε-greedy policy based on Q(s, a; θ) return: int """ assert isinstance(state, torch.Tensor) sample = random.random() if args.mode == 'train': eps_...
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def playpos(context, songpos): """ *musicpd.org, playback section:* ``play [SONGPOS]`` Begins playing the playlist at song number ``SONGPOS``. *Clarifications:* - ``playid "-1"`` when playing is ignored. - ``playid "-1"`` when paused resumes playback. - ``playid "-1"`` when s...
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def get_text(original, lang="en"): """ Return a translation of text in the user's language. @type original: unicode """ if original == u"": return u"" global TRANSLATIONS if not TRANSLATIONS: init_i18n(BotConfig) try: return TRANSLATIONS[lang][original] exc...
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def is_rectangle(coords): """ (tuple(tuple(float or int, float or int))) -> Boolean Takes a tuple of (x, y) coordinate tuples. Returns True if the coordinates represent a rectangle. Otherwise returns False. """ # look for four segments defined by five points has_four_segments = (len(coords)...
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def load_package_file(name: str) -> dict: """Load a yaml package file returning the represented dict. Args: name: base name of the package file Returns: A dict based on specified yaml packaged file """ return load_file(package_filename(name))
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def convert_string_to_list(df, col, new_col): """Convert column from string to list format.""" fxn = lambda arr_string: [int(item) for item in str(arr_string).split(" ")] mask = ~(df[col].isnull()) df[new_col] = df[col] df.loc[mask, new_col] = df[mask][col].map(fxn) return df
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def set_circuit_ic_mrucc(n_qubit_system, nv, na, nc, DS, theta_list, ndim1): """ Function Author(s): Yuto Mori """ circuit = QuantumCircuit(n_qubit_system) if DS: icmr_ucc_singles(circuit, n_qubit_system, nv, na, nc, theta_list, 0) icmr_ucc_doubles(circuit, n_qubit_system, nv, na, n...
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from typing import Dict from typing import List def _parse_or_search(hint: Dict[str, str], attr_query: Dict[str, str]) -> Dict[str, str]: """Performs keyword analysis processing. The search keyword is separated by OR and passed to the next process. Args: hint (dict[str, str]): Dictionary of attr...
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def tei_place_name(elem_text, attrib_ref="", attrib_evidence=None, attrib_cert=None): """ | create TEI element <placeName> with given element text, @ref | and (optional) @evidence and @cert """ place_name = etree.Element("placeName") place_name.text = elem_text add_attrib(...
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def r_unit(p1, p2): """ r_unit(x, y) : Function computes the unit vector between two points with coordinates p1(x1, y1) and p2(x2, y2) """ assert len(p1) == len(p2), 'locs must be the same shape.' dx = [] for ii in range(len(p1)): dx.append((p2[ii] - p1[ii])) # Compute length...
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from pathlib import Path def raw_directory(request): """Gets 'raw' directory with test datafiles""" return Path(request.config.rootdir) / "tests/testdata/2020/6/raw"
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def _update_cycle(self, cycle, scatter=False, **kwargs): """ Try to update the `~cycler.Cycler` without resetting it if it has not changed. Also return keys that should be explicitly iterated over for commands that otherwise don't use the property cycler (currently just scatter). """ # Get the o...
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def solution(dataset: list) -> int: """ "there is a '\n' on the end of the first line but zip() will only go to the sortest length. If both lines have '\n's then they will be equivalent and won't be counted""" return sum(i != j for i, j in zip(*dataset))
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def _GetFeatureCenters(num_groups, center_var, feature_dim): """Helper function to generate multivariate Normal feature centers. Args: num_groups: number of centers to generate. center_var: diagonal element of the covariance matrix (off-diagonals = 0). feature_dim: the dimension of each center. Retur...
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def async_pipe(*args, **kwargs): """A processor that asynchronously retrieves the current exchange rate for a given currency pair. Args: item (dict): The entry to process kwargs (dict): The keyword arguments passed to the wrapper Kwargs: conf (dict): The pipe configuration. May...
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def get_new_ticket(): """Request a new upload ticket from Vimeo.""" response = _vimeo_request('vimeo.videos.upload.getTicket', 'POST', upload_method='post') if response['stat'] == 'fail': err = response['err'] logger.error(u'Error retrieving upload ticket: <{cod...
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def _tau(x, y): """Helper function for faster computation""" n = len(x) numerator = 0 for i in range(n-1): for j in range(i+1, n): sx = np.sign(x[i] - x[j]) sy = np.sign(y[i] - y[j]) numerator += sx * sy nn = n * (n-1) / 2 return numerator / nn
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import functools def get_session(): """Make a cached session.""" settings.CACHE_PATH.mkdir(exist_ok=True, parents=True) path = settings.CACHE_PATH.joinpath("http").as_posix() session = CachedSession(cache_name=path, expire_after=settings.CACHE_EXPIRE) session.headers.update(HEADERS) # weird mo...
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from re import M def createSource(uid, payload): """ if id_source in payload, use that id, provided no record already exists, if not use new id returns the id """ source = None url = payload["url"] page = parsePage(url) if "id_source" in payload: id = payload["id_source"] ...
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def add_atom_counts(df, struct_df): """Add atom counts (total and per type) to 'df'.""" pd.options.mode.chained_assignment = None atoms_per_mol_df = struct_df.groupby(['molecule_name', 'atom']).count() atoms_per_mol_map = atoms_per_mol_df['atom_index'].unstack().fillna(0) atoms_per_mol_map = atoms_p...
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def nround(number: float, decimals=1): """Normalized round. nround(0.5) = 1 (unlike round())""" number = str(number) # if decimal places <= decimals if len(number[number.index('.')::]) <= decimals + 1: return float(number) if number[-1] == '5': number = number[:-1:] + '6' return ...
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def uniform_vector(shape, min_value=0, max_value=1, return_symbol=False): """ Generates a uniformly random tensor :param shape: shape of the tensor :param min_value: minimum possible value :param max_value: maximum possible value (exclusive) :param return_symbol: True if the result should be a ...
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import collections def format_seconds(seconds: float) -> str: """ Runtimes can be really long, due to exponentially growing configurational space, therefore those h """ minute = 60 hour = 60*minute day = 24*hour year = 365 * day units = collections.OrderedDict([ (230000000*year...
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import collections def _get_tables_and_columns_in_schema(db, schema): """Returns a dict describing all tables and columns in `schema`.""" # Obtain names of tables in `schema`: q = """ SELECT table_name FROM information_schema.tables WHERE table_schema = '""" + schema + """' ORDER BY tab...
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def setup(obs_bp_path, binmixmat_path, mix_lmin, cov_path, pos_nl_path, she_nl_path, noise_lmin, input_lmax, n_zbin): """ Load and precompute everything that is fixed throughout parameter space. This should be called once per analysis, prior to any calls to execute. Args: obs_bp_path ...
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def mk_comorbidity(data_id, data): # measurement group 26 """ transforms a c-comorbidity.json form into the triples used by insertMeasurementGroup to store each measurement that is in the form :param data_id: unique id from the json form :param data: data array from the json form :return: T...
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def raw_formatter(subtitles): """ Serialize a list of subtitles as a newline-delimited string. """ return ' '.join(text for (_rng, text) in subtitles)
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def get_gids(features: dict, data_pd: pd.DataFrame): """ Parameters ---------- features : dict Mapping genome -> feature data_pd : pd.DataFrame Feature table Returns ------- gid_features : dict Mapping genome -> feature """ data_feats = set(data_pd.index...
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def send_message(queue, message_body, message_attributes=None): """ Send a message to an SQS queue. :param queue: The queue that receives the message. :param message_body: The body text of the message. :param message_attributes: Custom attributes of the message. These are key-value ...
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def dict_diff(first, second): """ >>> dict_diff({'a':'b', 'c':1}, {'a':'c', 'c':1}) {'a': {'original':'b', 'changed': 'c'} :type first: dict :type second: dict :rtype dict """ diff = {} keys = set(first) | set(second) for key in keys: first_value = first.get(key) ...
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def struct_union_class_factory (class_name, class_dict): """Create a class type with name class_name, descended from struct_or_union_base and object, to be a factory for instantiating struct/union values.""" return new.classobj (class_name, (struct_or_union_base,), class_dict)
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def normalize_images(mode="tr"): """ Normalizes all data related to either training or testing, this includes depth, B&W and raw matrixes. The result is a 100x100 image of the face. """ #RGB images for light estimation rgb_imgs, rgb_labels, rgb_names = manager.get_samples(mode,"rgb") ...
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def getNGramCounts(data, N): """Count the occurences of all N+1 grams in the data. Outputs a dictionary mapping histories of length N to a histogram dictionary.""" counts = defaultdict(dict) for i in xrange(N,len(data)): history = tuple(data[i-N:i]) obs = data[i] if obs in counts[history]: ...
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def csv_to_grid_02(): """ :return: 20200201_20200215 csv to grid """ df = pd.read_csv('./csv_data/shortstay_20200201_20200215.csv', sep='\t') df.columns = ['date', 'hour', 'grid_x', 'grid_y', 'index'] grid_h = [] date_h = [] for d in range(20200201, 20200216): df_y = df[df.iloc[...
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def network_association_find_distinct_networks(context, host_name, session): """ returns unique networks from all network associations for given host :param context: The context for building the data :param hos...
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import re def add_space_after_commas(origString): """ Directives with arguements need spaces insert after commas. """ # space after a comma newString = re.sub(',', ', ', origString) return newString
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import requests import json def get_jwt_key(kid): """Get the public key via http.""" # from https://github.com/auth0-samples/auth0-python-api-samples/blob/master/00-Starter-Seed/server.py # This is only as secure as our HTTP connection is secure ... url = 'https://{}/.well-known/jwks.json'.format(gaet...
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def preprocess_tds(df): """ Parameters ---------- df : JSON to CSV converted time domain settings data. Returns ------- df_expanded : Restructured and reformatted tds data. """ #NEED DECIDE WHICH TIMESTAMP TO KEEP, TIMESTOP, OR TIMESTART df = df.rename(columns={"timeStart": "tim...
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from typing import List def rr_interval_update(rpeak_temp1: List[DataPoint], rr_ave: float, min_size: int = 8) -> float: """ :param min_size: 8 last R-peaks are checked to compute the running rr interval average :param rpeak_temp1: R peak locations :param rr_...
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def get_all_matching(cls, column_name, values): """Get all the instances of ``cls`` where the column called ``column_name`` matches one of the ``values`` provided. Setup:: >>> from mock import Mock >>> mock_cls = Mock() >>> mock_cls.query.filter.return_value.a...
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def assign_country_code(indices, cosmo_grid, projections, countries): """Assign the country codes on the gridcells indicated by indices. Each gridcell gets assigned to code of the country with the most area in the cell. If for a given grid cell, no country is found (Ocean for example), the country...
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def new_figure_manager(num, *args, FigureClass=FigureSurface, **kwargs): """Create a new figure manager instance.""" # If a main-level app must be created, this (and # new_figure_manager_given_figure) is the usual place to do it -- see # backend_wx, backend_wxagg and backend_tkagg for examples. Not all...
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def get_observation_photo_metadata(observation_id, access_token): """Attempt to scrape metadata from a photo info pages associated with an observation (first photo only) """ print(f'Fetching observation {observation_id}') obs = get_observation(observation_id) photo_ids = [photo['id'] for photo i...
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import numpy def _prepare_hdf5_write_value(array_like): """Cast a python object into a numpy array in a HDF5 friendly format. :param array_like: Input dataset in a type that can be digested by ``numpy.array()`` (`str`, `list`, `numpy.ndarray`…) :return: ``numpy.ndarray`` ready to be written as an...
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import six def python_2_unicode_compatible(klass): """ A decorator that defines __unicode__ and __str__ methods under Python 2. Under Python 3 it does nothing. To support Python 2 and 3 with a single code base, define a __str__ method returning text and apply this decorator to the class. """ ...
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def get_day_of_week(year: int, month: int, day: int) -> int: """ 0表示星期日,1-6表示星期一到星期六 """ if month in (1, 2): year -= 1 month += 12 return ( day + 2 * month + 3 * (month + 1) // 5 + year + year // 4 - year // 100 + year // 400 ...
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def AddDefaultLocationToListRequest(ref, args, req): """Python hook for yaml commands to wildcard the region in list requests.""" del ref project = properties.VALUES.core.project.Get(required=True) if hasattr(args, 'zone'): location = args.region or args.zone or LOCATION_WILDCARD else: location = args...
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def normalize_model_parameter(model_parameter): """ Args: model_parameter (str / dict): The parameter to convert. Returns: dict: If `model_parameter` is an ID (a string), it turns it into a model dict. If it's already a dict, the `model_parameter` is returned as it is. It re...
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