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def isempty(s): """ return if input object(string) is empty """ if s in (None, "", "-", []): return True return False
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import sys def get_client(host, port=None, username=None, password=None, tenant=None, auth_url=None, auth_strategy=None, auth_token=None, region=None, is_silent_upload=False, insecure=True, aws_access_key=None, aws_secret_key=None): """ ...
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def raw(text): """Returns a raw string representation of text""" new_str = '' for char in text: try: new_str += trans_map[char] except KeyError: new_str += char return new_str
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def airtovac(wave_air): """ taken from idl astrolib ;+ ; NAME: ; AIRTOVAC ; PURPOSE: ; Convert air wavelengths to vacuum wavelengths ; EXPLANATION: ; Wavelengths are corrected for the index of refraction of air under ; standard conditions. Wavelength values below...
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def clamp(val, min_, max_): """clamp val to between min_ and max_ inclusive""" if val < min_: return min_ if val > max_: return max_ return val
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def GetUserLink(provider, email): """Retrieves a url to the profile of the specified user on the given provider. Args: provider: The name of the provider email: The email alias of the user. Returns: Str of the url to the profile of the user. """ user_link = '' if email and provider == Provider....
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def _as_bytes0(path): """Crashes translation if the path contains NUL characters.""" res = _as_bytes(path) rstring.check_str0(res) return res
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def get_ip(request): """Determines user IP address Args: request: resquest object Return: ip_address: requesting machine's ip address (PUBLIC) """ ip_address = request.remote_addr return ip_address
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def _is_valid_new_style_arxiv_id(identifier): """Determine if the given identifier is a valid new style arXiv ID.""" split_identifier = identifier.split('v') if len(split_identifier) > 2: return False elif len(split_identifier) == 2: identifier, version = split_identifier if not...
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def download_suite(request, domain, app_id): """ See Application.create_suite """ if not request.app.copy_of: request.app.set_form_versions(None) return HttpResponse( request.app.create_suite() )
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def get_graph(mol): """ Converts `rdkit.Chem.Mol` object to `PreprocessingGraph`. """ if mol is not None: if not C.use_aromatic_bonds: rdkit.Chem.Kekulize(mol, clearAromaticFlags=True) molecular_graph = PreprocessingGraph(molecule=mol, constants=C) return molecular_graph
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def dict_fetchall(cursor): """ Returns all rows from a cursor as a dict """ desc = cursor.description return [ dict(zip([col[0] for col in desc], row)) for row in cursor.fetchall() ]
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def count_vowels(s): """Used to count the vowels in the sequence""" s = s.lower() counter=0 for x in s: if(x in ['a','e','i','o','u']): counter+=1 return counter
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def _is_valid_dtype(matrix, complex_dtype=False, all_dtype=False): """ Check to see if it's a usable float dtype """ if all_dtype: return matrix.dtype in NUMPY_FLOAT_DTYPES + NUMPY_COMPLEX_DTYPES elif complex_dtype: return matrix.dtype in NUMPY_COMPLEX_DTYPES else: return matrix....
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def assess_edge(self, edge, fsmStack, request, **kwargs): """ Try to transition to ASSESS, or WAIT_ASSESS if not ready, or jump to ASK if a new question is being asked. """ fsm = edge.fromNode.fsm if not fsmStack.state.linkState: # instructor detached return fsm.get_node('END') elif...
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def viable_source_types_for_generator_real (generator): """ Returns the list of source types, which, when passed to 'run' method of 'generator', has some change of being eventually used (probably after conversion by other generators) """ source_types = generator.source_types () if not s...
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def negSamplingCostAndGradient(predicted, target, outputVectors, dataset, K=10): """ Negative sampling cost function for word2vec models Implement the cost and gradients for one predicted word vector and one target word vector as a building block for word2vec models, usin...
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def get_start_block(block): """ Gets the deepest block to use as the starting block. """ if not block.get('children'): return block first_child = block['children'][0] return get_start_block(first_child)
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def transform_rank_list(lam_ref, A, b, rank): """ A is a list here. We sum the first `rank` elements of it to return a matrix with the desired rank. """ _A = sum(A[0:rank]) _b = b _d = _A @ lam_ref + _b assert np.linalg.matrix_rank(_A) == rank, "Unexpected rank mismatch" return _A, _...
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def FindWindowsWithTitle(title_to_search): """Finds windows with given title. Args: title_to_search: Window title substring to search, case-insensitive. Returns: A list of HWND that match the search condition. """ desktop_handle = None return FindWindowsWithText(desktop_handle, title_to_search)
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import time def main_update(next_image_step): """ This includes some functionality for image / file writing at a specified frequency, Assumes global variables: time, step, files_freq, next_image_step if numerical dt exceeds next specified writing point override dt make sure we hi...
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from typing import Iterable import time import os def record(packets: Iterable[Packet], pcap_path: str, *, src_ip: str = "127.0.0.1", dst_ip: str = "127.0.0.1", lidar_port: int = 7502, imu_port: int = 7503, use_sll_encapsulation: bool = Fals...
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def assemble_batches(inputs, crop_mode='center_only'): """ Assemble DataFrame of image crops for feature computation. Input: inputs: list of filenames (center_only, corners, and selective_search mode) OR input DataFrame (list mode) mode: string 'list': take the image windows from the input as...
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def __VF2_feasible(graph1, graph2, vertex1, vertex2, map21, map12, terminals1, terminals2, subgraph): """ Returns :data:`True` if two vertices `vertex1` and `vertex2` from graphs `graph1` and `graph2`, respectively, are feasible matches. `mapping21` and `mapping12` are the current state of the mappi...
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async def place_rectangle( interface, element, x, y, width, height, include_all_sides=True, variant=None ): """Place a rectangle of an element. Parameters ---------- interface The editor interface. x X coordinate of the upper left corner. y Y coordinate of the upper ...
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def rainbow_strokes(strokes: bpy.types.GPencilStrokes): """ strokesのインデックスに合せて頂点カラーを設定します """ n = [colorize_stroke(stroke, i, True) for i, stroke in enumerate(strokes)] return n # logger.debug(f"update:{sum(n)}") # logger.debug(rainbow.cache_info())
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def calc_Q_hat_hs_d_t(Q, A_A, V_vent_l_d_t, V_vent_g_i, mu_H, mu_C, J_d_t, q_gen_d_t, n_p_d_t, q_p_H, q_p_CS, q_p_CL, X_ex_d_t, w_gen_d_t, Theta_ex_d_t, L_wtr, region): """(40-1a)(40-1b)(40-2a)(40-2b)(40-2c)(40-3) Args: Q: 当該住戸の熱損失係数(W/(m2・K)) A_A: 床面積の合計(m2) V_vent_l_d_t: 日付dの時刻tにおける局所換気量(m3...
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def get_all_infoproviders(): """ Endpunkt `/infoproviders`. Response enthält Informationen über alle, in der Datenbank enthaltenen, Infoprovider. """ try: return flask.jsonify(queries.get_infoprovider_list()) except Exception: logger.exception("An error occurred: ") err ...
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import math def maidenhead(dec_lat, dec_lon): """Convert latitude and longitude to Maidenhead grid locators.""" try: dec_lat = float(dec_lat) dec_lon = float(dec_lon) except ValueError: return '' if _non_finite(dec_lat) or _non_finite(dec_lon): return '' if 90 < ma...
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def parse_worker_string(miner, worker): """ Parses a worker string and returns the coin address and worker ID Returns: String, String """ worker_part_count = worker.count(".") + 1 if worker_part_count > 1: if worker_part_count == 2: coin_address, worker = worker.s...
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import json def get_inference_sequence(file_path): """ :param file_path: path of 2D bounding boxes :return: """ with open(file_path + '.json', 'r') as f: detected_bdbs = json.load(f) f.close() boxes = list() for j, bdb2d in enumerate(detected_bdbs): box = bdb2d['bbo...
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def _DC_GetBoundingBox(self): """ GetBoundingBox() -> (x1,y1, x2,y2) Returns the min and max points used in drawing commands so far. """ return (self.MinX(), self.MinY(), self.MaxX(), self.MaxY())
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from typing import Union from typing import Iterable from typing import List def map_text( text: Union[str, Text, Iterable[str], Iterable[Text]], mapping: StringMapper ) -> Union[str, List[str]]: """ Replace text if it matches one of the dictionary keys. :param text: Text instance(s) to m...
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def _load_components(config: ConfigType) -> ConfigType: """Load the different componenets in a config Args: config (ConfigType) Returns: ConfigType """ special_key = "_load" if config is not None and special_key in config: loaded_config = read_config_file(config.pop(spe...
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import typing def _value_to_variant(value: typing.Union[bytes, int, float, str]) -> GLib.Variant: """ Automatically convert a Python value to a GLib.Variant by guessing the matching variant type. """ if isinstance(value, bool): return GLib.Variant("b", value) elif isinstance(value, by...
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import math def ha_rise_set(el_limit, lat, dec): """ Hour angle from transit for rising and setting. Returns pi for a source that never sets and 0 for a source always below the horizon. @param el_limit : the elevation limit in radians @type el_limit : float @param lat : the observatory latitude in r...
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def create(transactions, user=None): """# Create Transactions Send a list of Transaction objects for creation in the Stark Bank API ## Parameters (required): - transactions [list of Transaction objects]: list of Transaction objects to be created in the API ## Parameters (optional): - user [Proje...
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def get_quote(symbol): """ Returns today's stock price """ contents = get_content(symbol) return contents('.time_rtq_ticker span').text()
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def load_pil(data, is_file = False): """ Parses a string or file written in PIL notation! """ # We only assign reactions in a postprocessing step, # because there are no macrostates in nuskell. set_io_objects(D = NuskellDomain, C = NuskellComplex) out = dsd_read_pil(data, is_file) clear_io_objec...
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def get(obj, key, default=None, pattern_default=(), apply_transforms=True): """ Get a value specified by the dotted key. If dotted is a pattern, return a tuple of all matches >>> d = {'hello': {'there': [1, '2', 3]}} >>> get(d, 'hello.there[1]|int') 2 >>> get(d, 'hello.there[1:]') ['2', ...
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def str_view(request): """ A simple test view that returns a string. """ return '<Response><Message>Hi!</Message></Response>'
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import atexit def _run_script(script, start_with_ctty, args, kwargs): """ Meant to be called inside a python subprocess, do NOT call directly. """ enter_pty(start_with_ctty) result = script(*args, **kwargs) # Python-spawned subprocesses do not call exit funcs - https://stackoverflow.com/q/3450...
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def get_feed_list(feeds): """ Return List of Proto Feed Object """ feeds_pb_list = [feeds_pb2.Feed(**_get_valid_fields_feed(feed)) for feed in feeds] return feeds_pb2.FeedList(data=feeds_pb_list)
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def group_interpellet_interval_plot(FEDs, groups, kde, logx, **kwargs): """ FED3 Viz: Plot the interpellet intervals as a histogram, first aggregating the values for devices in a Groups. Parameters ---------- FEDs : list of FED3_File objects FED3 files (loaded by load.FED3_File) gro...
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def _beta(x, p): """Helper function for `pdf_a`, beta = pi * d(1 - omega(x), omega(p)).""" omega = _amplitude_to_angle return np.pi * _circ_dist(1 - omega(x), omega(p))
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def set_reporting_max_width(w): """ Set the max width for reported parameters. This is used to that failures don't overflow terminals in the event arguments are dumped. :param w: The new max width to enforce for the module :type w: int :return: True """ _REPR_MAX_WIDTH[0] = int(w) r...
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import re def get_version(): """Get LanguageTool version.""" version = _get_attrib().get('version') if not version: match = re.search(r"LanguageTool-?.*?(\S+)$", get_directory()) if match: version = match.group(1) return version
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def get_mnsp_offer_index(data) -> list: """Get MNSP offer index""" interconnectors = (data.get('NEMSPDCaseFile').get('NemSpdInputs') .get('PeriodCollection').get('Period') .get('InterconnectorPeriodCollection') .get('InterconnectorPeriod')) ...
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from typing import Tuple def _find_clusters( data, cluster_range: Tuple[int, int] = None, metric: str = "silhouette_score", target=None, **kwargs, ): """Finds the optimal number of clusters for K-Means clustering using the selected metric. Args: data: The data. cluster_ran...
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def _gate_objectives_li_pe(basis_states, gate, H, c_ops): """Objectives for two-qubit local-invariants or perfect-entangler optimizaton""" if len(basis_states) != 4: raise ValueError( "Optimization towards a two-qubit gate requires 4 basis_states" ) # Bell states as in "Theor...
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from typing import Generator import pkg_resources def get_pip_package_list(path: str) -> Generator[pkg_resources.Distribution, None, None]: """Get the Pip package list of a Python virtual environment. Must be a path like: /project/venv/lib/python3.9/site-packages """ packages = pkg_resources.find_dis...
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from OpenGL.GLU import gluGetString, GLU_EXTENSIONS def hasGLUExtension( specifier ): """Given a string specifier, check for extension being available""" if not AVAILABLE_GLU_EXTENSIONS: AVAILABLE_GLU_EXTENSIONS[:] = gluGetString( GLU_EXTENSIONS ) return specifier.replace(as_8_bit('.'),as_8_bit('_...
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def do_slots_information(parser, token): """Calculates some context variables based on displayed slots. """ bits = token.contents.split() len_bits = len(bits) if len_bits != 1: raise TemplateSyntaxError(_('%s tag needs no argument') % bits[0]) return SlotsInformationNode()
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def get_region_of_interest(img, sx=0.23, sy=0.15, delta=200, return_vertices=False): """ :param img: image to extract ROI from :param sx: X-axis factor for ROI bottom base :param sy: Y-axis factor for ROI top base :param delta: ROI top base length :param return_vertices: whether to return the RO...
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from typing import Counter import json def load_search_freq(fp=SEARCH_FREQ_JSON): """ Load the search_freq from JSON file """ try: with open(fp, encoding="utf-8") as f: return Counter(json.load(f)) except FileNotFoundError: return Counter()
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def _sum_of_squares(a, axis=0): """ Square each element of the input array, and return the sum(s) of that. Parameters ---------- a : array_like Input array. axis : int or None, optional Axis along which to calculate. Default is 0. If None, compute over the whole array `a...
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import logging def get_preprocess_fn(pp_pipeline, remove_tpu_dtypes=True): """Transform an input string into the preprocessing function. The minilanguage is as follows: fn1|fn2(arg, arg2,...)|... And describes the successive application of the various `fn`s to the input, where each function can optiona...
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def nodeset(v): """Convert a value to a nodeset.""" if not nodesetp(v): raise XPathTypeError, "value is not a node-set" return v
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import tqdm def get_char_embs(char_emb_path, char_emb_size, alphabet_size=1422): """Get pretrained character embeddings and a dictionary mapping characters to their IDs. Skips IDs 0 and 1, since these are reserved for PAD and UNK, respectively. Input: char_emb_path: path to glove.840B.{char_embeddi...
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def _get_reverse_complement(seq): """ Get the reverse compliment of a DNA sequence. Parameters: ----------- seq Returns: -------- reverse_complement_seq Notes: ------ (1) No dependencies required. Pure python. """ complement_seq = "" for i in seq...
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def wave_reduce_min_all(val): """ All threads get the result """ res = wave_reduce_min(val) return broadcast(res, 0)
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def predict_class(all_headlines): """ Predict whether each headline is negative or positive. :param all_headlines: all headlines :return: headlines with predictions """ clf, v = load_classifier("SVM") headlines = [] for h in all_headlines: headlines.append(h.to_array()) df...
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def find_tickets_for_seat_manager( user_id: UserID, party_id: PartyID ) -> list[DbTicket]: """Return the tickets for that party whose respective seats the user is entitled to manage. """ return db.session \ .query(DbTicket) \ .filter(DbTicket.party_id == party_id) \ .filter(D...
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import inspect from typing import Counter def insert_features_from_iters(dataset_path, insert_features, field_names, **kwargs): """Insert features into dataset from iterables. Args: dataset_path (str): Path of the dataset. insert_features (iter of iter): Collection of iterables representing ...
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def check_table(conn, table, interconnect): """ searches if Interconnect exists in table in database :param conn: connect instance for database :param table: name of table you want to check :param interconnect: name of the Interconnect you are looking for :return: results of SQL query searching...
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import tarfile def get_host_config_tar_response(host): """ Build the tar.gz attachment response for the GetHostConfig view. Note: This is re-used to download host config from the admin interface. :returns: HttpResponseAttachment """ filename = '{host}_v{version}.tar.gz'.format( ...
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async def update_product_remove_tag_by_id( *, product_id: int, session: Session = Depends(get_session), db_product: Product = Depends(get_product_or_404), db_tag: Tag = Depends(get_tag_or_404), ): """ Remove tag from product """ existing_product = db_product["db_product"] existin...
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def aggregate_results_data(results, include_raw=False): """This function aggregates the results of an archive/unarchive operation into an easy-to-parse dictionary. .. versionchanged:: 4.1.1 This function can now properly handle the ``ARCHIVED`` status when returned. .. versionadded:: 4.1.0 :pa...
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def hard_sigmoid(x: tf.Tensor) -> tf.Tensor: """Hard sigmoid activation function. ```plot-activation activations.hard_sigmoid ``` # Arguments x: Input tensor. # Returns Hard sigmoid activation. """ return tf.clip_by_value(x+0.5, 0.0, 1.0)
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def get_image_as_np_array(filename: str): """Returns an image as an numpy array """ img = Image.open(filename) return np.asarray(img)
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def unreduced_coboundary(morse_complex, akq, cell_ix): """ Helper """ return unreduced_cells(akq, morse_complex.get_coboundary(cell_ix))
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from typing import Union def __align(obj: Union[Trace, EventLog], pt: ProcessTree, max_trace_length: int = 1, max_process_tree_height: int = 1, parameters=None): """ this function approximates alignments for a given event log or trace and a process tree :param obj: event log or single trace ...
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import resource def scanProgramTransfersCount(program, transfersCount=None, address=None, args={}): """ Scan pools by active program, sort by transfersCount """ return resource.scan(**{**{ 'type': 'pool', 'index': 'activeProgram', 'indexValue': program, 'sort': 'transfe...
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from pedal.tifa.commands import get_issues from pedal.tifa.feedbacks import initialization_problem def def_use_error(node, report=MAIN_REPORT): """ Checks if node is a name and has a def_use_error Args: node (str or AstNode or CaitNode): The Name node to look up. report (Report): The repo...
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def get_ref_inst(ref): """ If value is part of a port on an instance, return that instance, otherwise None. """ root = ref.root() if not isinstance(root, InstRef): return None return root.inst
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def not_found(error): """ Renders 404 page :returns: HTML :rtype: flask.Response """ view_args["title"] = "Not found" return render_template("404.html", args=view_args), 404
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def xml_escape(x): """Paranoid XML escaping suitable for content and attributes.""" res = '' for i in x: o = ord(i) if ((o >= ord('a')) and (o <= ord('z'))) or \ ((o >= ord('A')) and (o <= ord('Z'))) or \ ((o >= ord('0')) and (o <= ord('9'))) or \ ...
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def read_tab(filename): """Read information from a TAB file and return a list. Parameters ---------- filename : str Full path and name for the tab file. Returns ------- list """ with open(filename) as my_file: lines = my_file.readlines() return lines
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def build_model(stage_id, batch_size, real_images, **kwargs): """Builds progressive GAN model. Args: stage_id: An integer of training stage index. batch_size: Number of training images in each minibatch. real_images: A 4D `Tensor` of NHWC format. **kwargs: A dictionary of 'start_height': An...
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def int2(c): """ Parse a string as a binary number """ return int(c, 2)
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from typing import Any from typing import Type from typing import List from typing import Dict def from_serializer( serializer: serializers.Serializer, api_type: str, *, id_field: str = "", **kwargs: Any, ) -> Type[ResourceObject]: """ Generate a schema from a DRF serializer. :param s...
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def inv_rotate_pixpts(pixpts_rot, angle): """ Inverse rotate rotated pixel points to their original positions. Keyword arguments: pixpts_rot -- namedtuple of numpy arrays of x,y pixel points rotated angle -- rotation angle in degrees Return value: pixpts -- namedtuple of numpy arrays of pi...
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import logging import functools import time def logged(func=None, level=logging.DEBUG, name=None, msg=None): """Decorator to log the function, with the duration. Args: ----- func (function): the function to log level (logging.OBJECT): INFO, DEBUG, WARNING ... n...
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def properties(classes): """get all property (p-*, u-*, e-*, dt-*) classnames """ return [c.partition("-")[2] for c in classes if c.startswith("p-") or c.startswith("u-") or c.startswith("e-") or c.startswith("dt-")]
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import array def adapt_p3_histogram(codon_usages, purge_unwanted=True): """Returns P3 from each set of codon usage for feeding to hist().""" return [array([c.positionalGC(purge_unwanted=True)[3] for c in curr])\ for curr in codon_usages]
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def handle_logout_response(response): """ Handles saml2 logout response. :param response: Saml2 logout response """ if len(response) > 1: # Currently only one source is supported return HttpResponseServerError("Logout from several sources not supported") for entityid, logout_inf...
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def get_value_beginning_of_year(idx, col, validate=False): """ Devuelve el valor de la serie determinada por df[col] del primer día del año del índice de tiempo 'idx'. """ beggining_of_year_idx = date(year=idx.date().year, month=1, day=1) return get_value(beggining_of_year_idx, col, validate)
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from typing import List def doc2vec_embedder(corpus: List[str], size: int = 100, window: int = 5) -> List[float]: """ Given a corpus of texts, returns an embedding (representation of such texts) using a fine-tuned Doc2Vec embedder. ref: https://radimrehurek.com/gensim/models/doc2vec.html """ ...
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def PremIncome(t): """Premium income""" return SizePremium(t) * PolsIF_Beg1(t)
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def _setter_name(getter_name): """ Convert a getter name to a setter name. """ return 'set' + getter_name[0].upper() + getter_name[1:]
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def get_bel_node_by_pathway_name(): """Get Reactome related eBEL nodes by pathway name.""" pathway_name = request.args.get('pathway_name') sql = f'''SELECT @rid.asString() as rid, namespace, name, bel, reactome_pathways FROM pro...
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def get_model(model_file, log=True): """Load a model from the specified model_file.""" model = load_model(model_file) if log: print('Model successfully loaded on rank ' + str(hvd.rank())) return model
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def variable_op(shape, dtype, name="Variable", set_shape=True, container="", shared_name=""): """Deprecated. Used variable_op_v2 instead.""" if not set_shape: shape = tensor_shape.unknown_shape() ret = gen_state_ops.variable(shape=shape, dtype=dtype, name=name, c...
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def _sample_weight(kappa, dim, num_samples): """Rejection sampling scheme for sampling distance from center on surface of the sphere. """ dim = dim - 1 # since S^{n-1} b = dim / (np.sqrt(4.0 * kappa ** 2 + dim ** 2) + 2 * kappa) x = (1.0 - b) / (1.0 + b) c = kappa * x + dim * np.log(1 - x *...
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import torch def variable_time_collate_fn3( batch, args, device=torch.device("cpu"), data_type="train", data_min=None, data_max=None, ): """ Expects a batch of time series data in the form of (record_id, tt, vals, mask, labels) where - record_id is a patient id - tt is a 1-...
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import operator def run_map_reduce(files, mapper, n): """Runner to execute a map-reduce reduction of cowrie log files using mapper and files Args: files (list of files): The cowrie log files to be used for map-reduce reduction. mapper (MapReduce): The mapper processing the files using...
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import select def metadata_record_dictize(pkg, context): """ Based on ckan.lib.dictization.model_dictize.package_dictize """ model = context['model'] is_latest_revision = not(context.get('revision_id') or context.get('revision_date')) execute = _execute if is_lates...
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def is_data_by_filename(fname): """ TODO this is super adhoc. FIXME """ return "Run201" in fname
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def colorbar_set_label_parallel(cbar,label_list,hpos=1.2,vpos=-0.3, ha='left',va='center', force_position=None, **kwargs): """ This is to set colorbar label besie the colorbar. Parameters: ----------- cb...
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def read_csv(file, tz): """ Reads the file into a pandas dataframe, cleans data and rename columns :param file: file to be read :param tz: timezone :return: pandas dataframe """ ctc_columns = {1: 'unknown_1', 2: 'Tank upper', # temperature [deg C] 3: 'u...
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