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def test_azpro(): """Test module azpro.py by downloading azpro.csv and testing shape of extracted data has 3589 rows and 6 columns """ test_path = tempfile.mkdtemp() x_train, metadata = azpro(test_path) try: assert x_train.shape == (3589, 6) except: shutil.rmtree(test_path) raise()
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def _type(array: Array) -> Type | None: """Get the type object associated with an array. Parameters ---------- array : dask_awkward.Array The collection. Returns ------- Type The awkward type object of the array; if the array does not contain metadata ``None`` is re...
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def dcgan_discriminator(x, flags, scope=None, reuse=None, return_acts=False): """DCGAN-style discriminator network.""" nonlinearity = nonlinearity_fn(flags.nonlinearity_d, True) ds_fs = flags.downsample_conv_filt_size x_fs = flags.extra_conv_filt_size acts = [] with tf.variable_scope(scope, reuse=reuse): ...
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def reconstruct_cfcoeffcients(output_dict, atomtype=None): """ Reconstruct the CFCoefficient list from the output dictionary of the FleurCFCoeffWorkChain :param output_dict: output dictionary node or the corresponding dictionary :param atomtype: int of the atomtype to recons...
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def raise_winerror(winerr=None, msg=None): """ Raises :py:exc:`OSError` (formerly :py:exc:`WindowsError`) using the given Windows Error number. If the error number is not given, :py:func:`ctypes.GetLastError` is called. Does nothing if *winerr*, or by default, the result of :py:func:`cty...
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def test_map_args_size(): """ Feature: Check the size of inputs of map. Description: The size of inputs of map must be greater than 1. Expectation: The size of inputs of map must be greater than 1. """ class MapNet(Cell): def __init__(self): super().__init__() sel...
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def get_int_forms(ref_group, isomorphisms): """Return a list of integer forms ('permutations') for a list of isomorphisms, i.e., mappings, based on a reference group.""" return [get_integer_form([iso[elem] for elem in ref_group.elements]) for iso in isomorphisms]
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def header_string(key_length=0, number_of_seconds=2): """ return a header string for the output file """ header_string = '#' header_string += ' ' * (key_length+8) header_string += ' 1 2 3 ' * number_of_seconds + '\n' header_string += '#' header_string += ' ' * ...
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def send_message(gmess, address): """ Envia un mensaje usando un request y retorna la respuesta como un grafo RDF """ msg = gmess.serialize(format='xml') r = requests.get(address, params={'content': msg}) # Procesa la respuesta y la retorna como resultado como grafo gr = Graph() gr....
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def test_gpx_to_dataframe(converter): """ Tests if the gpx_converter.Converter.gpx_to_dataframe function is working: Parameters ---------- converter: gpx_converter.Converter The converter that is used to test this function """ result = converter.gpx_to_dataframe() assert result ...
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def main(global_config, **settings): """ This function returns a Pyramid WSGI application. """ config = Configurator(settings=settings) config.include('pyramid_chameleon') log.info('Starting RaspiServer...') config.add_static_view('static', 'static', cache_max_age=3600) config.add_route('hom...
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def describe_replication_subnet_groups(Filters=None, MaxRecords=None, Marker=None): """ Returns information about the replication subnet groups. See also: AWS API Documentation Exceptions Examples Returns information about the replication subnet groups. Expected Output: :exampl...
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def sparse_average_precision_at_k(y_true: csr_matrix, y_scores: csr_matrix, k: int = 5) -> float: """ Computes the average precision at k for sparse binary matrices. :param y_true: grounded truth in binary format (n_samples, n_labels) :param y_scores: predictions in representation that can be ranked (e....
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def load_checkpoint(checkpoint, name, basepath="", use_student_settings=False): """ Restores Checkpoint Args: checkpoint: tf.train.Checkpoint object to restore. name: name of the checkpoint to restore. basepath: base directory where checkpoint is located. student: boolean to indi...
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def do_monitor(args): """ Handle "monitor" mode. """ # If we aren't running in monitor mode, then we are done. if not args.monitor: return # This is the main retry loop. while True: # Fork the process. logger.info('Forking child process.') pid = os.fork() # If we are the child, leave this function an...
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def plotpi(benchmark, predicted, target_addr, title, filename, ylim = None, label1=None, label2=None, ylabel=None, legendloc = None): """ input: benchmark -- list[paths] predicted -- list[paths] """ fig = plt.figure() if title: plt.title(title) if ylim: plt.ylim(y...
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def test_paragraph_series_m_ha_ol_nl_i2_ha_t(): """ Test case: Ordered list newline indent of 2 atx heading text was: test_list_blocks_256gxa """ # Arrange source_markdown = """1. # foo """ expected_tokens = [ "[olist(1,1):.:1:3:]", "[BLANK(1,3):]", "[end-o...
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def calc_contour_normals_2d(pts,seg): """calc 2d normals of contour pts assume the pts are clockwise around the object (row,col) """ pset = set([tuple(x) for x in pts]) normals = empty((len(pts),2),int) j=0 for i in xrange(len(seg)): p1,p2,p3 = [array(seg[x]) for x in (i...
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def build_model(X_train, X_test, y_train, y_test): """Build and evaluate a model. Also returns the test-set predictions.""" count_vect = sktext.CountVectorizer() X_train_counts = count_vect.fit_transform(X_train) tfidf_transformer = sktext.TfidfTransformer() X_train_tfidf = tfidf_transformer.fit_tra...
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def int_to_comma_hex(n: int, blength: Optional[int] = None) -> str: """ int_to_comma_hex Translates an integer in its corresponding hex string :type n: ``int`` :param n: Input integer :type blength: ``Optional[int]`` :param blength: Add padding to reach length :return: Translated hex ...
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def load_sqlalchemy_response_from_json(filename): """ Load a sqlalchemy response from a json file """ with open(filename, 'r', encoding="utf-8") as tmp: data = json.load(tmp) return load_sqlalchemy_response_from_object(data)
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def get_peaks(runs, signal_type, version='xenonnt_v7', output_folder='/project2/lgrandi/yuanlq/xenonnt/', **kargs): """wrapper around get_array to get peaks of a certain source. Now supporting KrS1A, KrS1B, Ar37. Args: runs (str or 1darray): runs to extract certain signal. Assumed all type of runs if p...
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def imshow(image, ax=None, title=None): """ Print the given image """ if ax is None: fig, ax = plt.subplots() # PyTorch tensors assume the color channel is the first dimension # but matplotlib assumes is the third dimension image = image.transpose((1, 2, 0)) # Undo...
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def svn_wc_diff_callbacks3_invoke_dir_opened(*args): """ svn_wc_diff_callbacks3_invoke_dir_opened(svn_wc_diff_callbacks3_t _obj, svn_wc_adm_access_t adm_access, svn_boolean_t tree_conflicted, char path, svn_revnum_t rev, void diff_baton) -> svn_error_t """ return apply(_wc.svn_wc_diff_call...
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def get_reset_password(): """Get the user name and email address to reset the password. :returns: the html form for resetting password :rtype: str """ return template('get_reset_code.html')
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def update_config(original, update): """ Recursively update a dict. Parameters must be specified in original to be overwritten """ for basekey, baseval in original.items(): if isinstance(baseval, dict): for key, val in baseval.items(): if key in update: ...
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def test_mech_snapshot_list_not_created(mock_locate, mock_load_mechfile, mechfile_one_entry): """Test 'mech snapshot list' when vm is not created.""" mock_load_mechfile.return_value = mechfile_one_entry runner = CliRunner() result = runner.invoke(cli, ['snapshot',...
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def select_polynomial_degree(n_samples: int = 100, noise: float = 5): """ Simulate data from a polynomial model and use cross-validation to select the best fitting degree Parameters ---------- n_samples: int, default=100 Number of samples to generate noise: float, default = 5 ...
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def test_list_date_time_max_length_2_nistxml_sv_iv_list_date_time_max_length_3_3(mode, save_output, output_format): """ Type list/dateTime is restricted by facet maxLength with value 7. """ assert_bindings( schema="nistData/list/dateTime/Schema+Instance/NISTSchema-SV-IV-list-dateTime-maxLength-3...
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def send_markdown_email( subject='', sender=None, to=None, cc=None, bcc=None, markdown_content='' ): """Sends an email w/ text and HTML produced from Markdown """ sender = sender or htk_setting('HTK_DEFAULT_EMAIL_SENDER', HTK_DEFAULT_EMAIL_SENDER) to = to or htk_setting('HTK_DEF...
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def buildNamesPaths(dataRoot, resultsRoot, size, tissue, cellList, runFolder, shortFolderName): """Construct paths and stem names for files""" dataPathList = [] resultsPathList = [] nameList = [] # more concise name for file for cell in cellList: # input data paths currDataPath = os...
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def get_request_id(): """ 获取request_id """ try: return get_request().request_id except AttributeError: return ""
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def create_message(to, subject, message_text): """Create a message for an email and return a dictionary object with its "raw" field containing a base64url encoded string {'raw': str} Example for MIMEText object >>> message = email.mime.text.MIMEText("Hello world") >>> message['to'] = 'worl...
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def resetconfig(configbase): """ Reset configuration in indicated directory """ dip_config = ( { "dipbase": None , "dipdir": None }) writeconfig(configbase, dip_config) return
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def adcm_api_credentials() -> dict: """ADCM credentials for use in tests""" return {"user": "admin", "password": "admin"}
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def unfill_isogeny_matrix(M): """ Reverses the action of ``fill_isogeny_matrix``. INPUT: - ``M`` -- a square symmetric matrix of integers. OUTPUT: (matrix) a square symmetric matrix obtained from ``M`` by replacing non-prime entries with `0`. EXAMPLES:: sage: M = Matrix([[0...
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def test_db_watt_conversion_reversible(): """ Tests that converting from db to watt and back results in the original db value. """ db = 10 assert watt_to_dbm(dbm_to_watt(db)) == approx(db)
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def __on_draw__(event): """Auto-wraps all text objects in a figure at draw-time""" import matplotlib as mpl fig = event.canvas.figure # Cycle through all artists in all the axes in the figure for ax in fig.axes: for artist in ax.get_children(): # If it's a text artist, wrap it.....
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def expanded_filename(): """Return the full absolute path to the STACK_TRACE_FILENAME with any environment variables ($VAR) and users (~user) expanded.""" return os.path.abspath( os.path.expanduser( os.path.expandvars( os.getenv(ENV_STACK_TRACE_FILENAME, DEFAULT_STACK_TRACE_FILENAME))))
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def _from_csr_ss(csr: _CSR, rsp, rep): """ Convert a subset of a Numba CSR to an MKL sparse matrix handle. """ _sp = ffi.from_buffer(csr.rowptrs) _cols = ffi.from_buffer(csr.colinds) _vals = ffi.from_buffer(csr.values) return _lk_mkl_spsubset(rsp, rep, csr.ncols, _sp, _cols, _vals)
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def dc(cls: type): """Pydantic dataclass decorator with custom configuration and auto update forward references""" cls = pydantic.dataclasses.dataclass(config=Config)(cls) cls.__pydantic_model__.update_forward_refs() return cls
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def populateNetworksId(bam, bam_configuration, bamConfig): """ Populate the network IDs based on the list of networks defined in iotipallocation.conf to facilitate getNextAvailableIP API call to BAM """ # Get list of Id for the networks networksId = {} for location, network in bamConfig['netloc'].items...
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def register_game_events(window): """ Function used to register all prepared methods inside window property of GameWindow object. :param window: GameWindow object """ @window.window.event def on_draw(): on_draw_factory(window)() @window.window.event def on_mouse_motion(x, y, dx,...
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def get_contour_data(model, pipeline, n_points=1000): """Create the data used to show the boundary of the decision function.""" x0s = np.linspace(X_AXIS[0], X_AXIS[1], n_points) x1s = np.linspace(Y_AXIS[0], Y_AXIS[1], n_points) x0, x1 = np.meshgrid(x0s, x1s) X = np.c_[x0.ravel(), x1.ravel()] ...
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def parse_args(): """ parse_args """ parser = ArgumentParser(description="resnet50 example") parser.add_argument("--model", type=str, default="resnet50", help="the network architecture for training or testing") parser.add_argument("--phase", type=str, default="test", ...
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def http_check_closest_invalid_no_lang(session: requests.Session): """HTTP GET /city/v1/closest returns 400""" res = session.get(URL_PREFIX + "/city/v1/closest") assert_error_reply(res, 400)
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def test__synchronized_on_instance__class__no_parentheses() -> None: """Test `@synchronized_on_instance` with no parentheses.""" # pylint: disable=missing-function-docstring @synchronized_on_instance class _Class: def method(self, variables: Dict[str, Union[int, bool]]) -> str: loc...
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def get_stacktrace(testcase, stack_attribute='crash_stacktrace'): """Returns the stacktrace for a test case. This may require a blobstore read. """ result = getattr(testcase, stack_attribute) if not result or not result.startswith(data_types.BLOBSTORE_STACK_PREFIX): return result # For App Engine, we ...
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async def test_extract_frame_no_integration(caplog): """Test extracting the current frame without integration context.""" with patch( "homeassistant.helpers.frame.extract_stack", return_value=[ Mock( filename="/home/paulus/homeassistant/core.py", linen...
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def test_ap_hs20_eap_fast_gtc(dev, apdev): """Hotspot 2.0 connection with FAST/EAP-GTC""" check_eap_capa(dev[0], "FAST") eap_test(dev[0], apdev[0], "43[3:6]", "FAST", "user")
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def edit_blogpost(request,blogpost_id): """编辑已有条目""" blogpost = BlogPost.objects.get(id = blogpost_id) title = blogpost.title #确认请求的主题属于当前登陆的用户,使用函数check_blog_owner check_blog_owner(request,title) if request.method !='POST': #初次请求,使用当前条目填充表单 form = BlogPostForm(instance = blogpost) else: #POST提交的数据,对数据进行处理 ...
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def get_points_simple(**kwargs): """Load a DataFrame of points with the most typical query Parameters ---------- **kwargs Optional arguments that are passed to get_credentials() Returns ------- points_df : pandas DataFrame DataFrame of all points """ import warnings...
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def run_text_query(cand_provider, top_qty, query_text, query_id=FAKE_QUERY_ID, field_name=TEXT_FIELD_NAME): """Run a text query. :param cand_provider: a candidate provider object :param top_qty: a number of top-scored entries to return :param que...
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def init(): """Initialises the internal font cache. It does not need to be called explicitly. """ global __FONTCACHE if __FONTCACHE is not None: return __FONTCACHE = {} if sys.platform in ("win32", "cli"): _cache_fonts_win32() elif sys.platform == "darwin": _cach...
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def download(symbol_source, data_source, output_dir, start, end): """Download historical price data.""" try: azul.get_price_data(symbol_source, data_source, output_dir, start, end) except Exception as e: log.error(e) raise
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def all_scatter_plots(data): """ Generate scatter plots for all hard-coded variable pairs Arguments: data: pandas dataframe Returns: scripts, divs scripts: list of scripts, each as returned by scatter_plot() divs: list of divs, each as returned by scatter_plot() """ # ...
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def make_predictions(*, input_data, save_as: str) -> dict: """Predict probability of device failure for the test data Parameters ---------- input_data : _type_ A csv file containing the test data save_as : str, optional name to save the file as, by default None Returns ----...
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def analyze_mds(mds, files): """ Return dictionary with names of package`s type ===================ARGUMENTS================== mds - list of mds files - list of files that situated in cwd """ builtin = check_builtin(mds) local = parse_local(mds, files) outside = parse_outside(mds, lo...
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def test_control_func(): """ test_control_func """ res = scalar_add(3, 4) assert res == 7 res = scalar_add_if(3, 4) assert res == 27 res = scalar_mul_while(2) assert res == 256
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def init_serializer(serializer=None, **kwargs): """Initialize a serializer from a name, class, or instance""" serializer = serializer or 'pickle' # Backwards=compatibility with 0.6; will be removed in 0.8 if serializer == 'safe_pickle' or (serializer == 'pickle' and 'secret_key' in kwargs): seri...
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def load_json_dataset(path): """Load json file and store fields separately.""" # Read dataset data = [] with open(path, encoding='utf-8') as f: dataset = json.load(f) # Iterate and write question-answer pairs for article in dataset['data']: doc_truth = [utils.normalize(article['t...
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def create_single_mnist(samples=60000, dataset="training", noise=False): """ Create a dataset where a single MNIST digit is located in the middle of a long image. """ # Extract images and labels from base MNIST files images, labels = load_mnist(dataset) new_images = [] new_labels = [] if sample...
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def get_policy_group(description=None,display_name=None,domain=None,id=None,opts=None): """ Use this data source to access information about an existing resource. """ __args__ = dict() __args__['description'] = description __args__['displayName'] = display_name __args__['domain'] = domain ...
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def get_rot_from_mat(m_mat): """ Extracts the rotation from a given MMatrix. Args: m_mat Return: rot """ trans_matrix = oMa.MTransformationMatrix(m_mat) rot = trans_matrix.rotation() return rot
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def _dH_df(bss_data, freq_range=None): """ Median frequency derivative value of the PS representation of the BSS components Parameters ---------- bss_data : numpy.ndarray Array containing source signals. It must have dimensions CxTxE, where C is the number of components, T the n...
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def prev_fail_scenario_relevance(context, param1, param2): """ Related operations for the previous failure scenario """ try: print("failed info about param", param2) fail_info = gr.get_rerun_info(param2.strip()) if not (fail_info is None): if isinstance(fail_info, str...
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def ask_support_exchanges(intent, session): """ responds support exchanges. """ session_attributes = {} reprompt_text = None card_title = intent['name'] session_attributes = {} should_end_session = False speech_output = "Latest prices are updated from all major crypto currency exchanges...
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def Language_req(description): """Create a function that captures the language requirements from the job description""" description = description.lower() matches = re.findall(r"\benglish\sand\sgerman\b|\bgerman\sand\senglish\b\benglisch\sund\sdeutsch\b|\benglish\b|\benglisch\b|\bgerman\b|\bdeutsch\b", descr...
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def LogN(mu, sigma, tag=None): """ A Log-Normal random variate Parameters ---------- mu : scalar The location parameter sigma : scalar The scale parameter (must be positive and non-zero) """ assert sigma>0, 'Sigma must be positive' return uv(rv=ss.lognorm(sigma, ...
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def test03(ntest, prefix='fig-v01') : """Test for 2-d binning of the restricted rad-phi range of entire image """ from time import time import algos.graph.GlobalGraphics as gg from PSCalib.GeometryAccess import img_from_pixel_arrays arr, geo = data_geo(ntest) iX, iY = geo.get_pixel_coord_i...
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async def worker( processor: WatchStreamProcessor, streams: Streams, key: ObjectRef, ) -> None: """ The per-object workers consume the object's events and invoke the processors/handlers. The processor is expected to be an async coroutine, always the one from the framework. In fa...
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def matrix_hits(binary_matrix): """Gets the number of cells with value 1 in matrix.""" logging.info("Counting how many contacts are predicted.") count = 0 (n1, n2) = binary_matrix.shape for i in range(n1): for j in range(n2): if j > i: count += binary_matrix[i, ...
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def svn_wc_create_notify_url(*args): """svn_wc_create_notify_url(char url, svn_wc_notify_action_t action, apr_pool_t pool) -> svn_wc_notify_t""" return _wc.svn_wc_create_notify_url(*args)
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def erpnext_ebay_save_file_on_filesystem_hook(*args, **kwargs): """Intercept all write_file events, and mogrify images Replaces the standard write_file event. Obtains the filename, content_type etc. Calls the normal backup 'save_file_on_filesystem' with all arguments. If we do not handle the attachment...
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def main( input_df, name, detailed=False ): """ Each OTU is now ordered by centrality and the AUC of each is calculated. :param input_df: Important features and OTUs that have been passed on to be ordered :param name: name attached to all detailed output :param detailed: Output helper tables :re...
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def cal_wordInCategory_fre(train_file): """ :param trian_file: 训练文件 : 分为两列 <label,doc_words> :return: """ # 统计每个类别中,每个词的词频 wordInCategory_dict = {} # key:label value: dict{key:word value:count} with open(train_file,'r',encoding='utf-8') as f: for line in f.readlines(): ...
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def _team_info(data, parsed_data): """Metadata of a players Season - Team info.""" parsed_data['team_data'] = defaultdict(lambda: None) parsed_data['team_data']['full_name'] = data['team'].get('name') # most team names have no id, simple hash for the id team_id_hash = sum([ord(x) for x in parsed_da...
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def get_elapsed_time_ms(start_time_in_seconds: float): """ Returns the elapsed time in millis from the given start time. """ end_time = time.time() return int((end_time - start_time_in_seconds) * 1000)
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def to_rgba(color): """ Convert from `colRGB`. `colRGB` is a `wxPython` type which is basically `BGR`. We don't want to work with `BGR`, so being able to simply convert `RGB` is preferable. The algorithm is actually the same swapping in either direction, but having a clear name makes it obviou...
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def days_in_month_366(month, year=0): """Days of the month (366 days calendar). Parameters ---------- month : int numerical value of the month (1 to 12). year : int, optional (dummy value). Returns ------- out : list of int days of the month. Notes ----...
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def clear_records(document_id): """Delete all records associated with the given document.""" q = {'term': {'document_id': document_id}} query_delete(records_index(), q)
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def connectedvmware_extension_list( client: MachineExtensionsOperations, resource_group_name, vm_name, expand=None ): """ List all the vm extension of a given vm. """ return client.list(resource_group_name=resource_group_name, name=vm_name, ...
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def plot_energy_from_initial_source( energy_bins=np.linspace(0, 20e6, 50), input_filename='initial_source.h5'): """makes a plot of the energy distribution of the source""" f = h5py.File(input_filename,'r') dset = f['source_bank'] e_values = [] for particle in dset: e_value...
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def _get_date_from_yyyymmdd(original_date): """ if date is in YYYYMMDD format, return date """ valid_date = "" try: valid_date = datetime.datetime.strptime(original_date, '%Y%m%d') except ValueError: pass return valid_date
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def do_transactions(account): """Ask to Deposit, Withdraw, or Finish; write new account file when finished. The account parameter is an Account object.""" # Prompt for D)eposit, W)ithdraw, or F)inish and convert to uppercase action = input('D)eposit, W)ithdraw, or F)inish: ') action = act...
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async def test_http_spec_version_is_missing_or_correct(mock_app): """ asgi["spec_version"] (Unicode string) – Version of the ASGI HTTP spec this server understands; one of "2.0" or "2.1". Optional; if missing assume 2.0 https://asgi.readthedocs.io/en/latest/specs/www.html#http-connection-scope Tes...
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def plot_raw_spikes_in_rows(waveforms, assignments, spacing=1, width=1, vscale=1, subplot_adj=0.9, colors=DEFAULT_COLORS, figtitle="", figdir="./", fname_postfix="", show=True): """Plot raw spikes, each spike in a separate row and each channel in a separate ...
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def on_open(ws): """ Starts a new thread that loops, taking user input and sending it to the websocket. :param ws: websocket.WebSocketApp that sends messages to a browser_manager """ threading.Thread(target=_run_browser).start()
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def run_request(bunch, url): """Run and time a request with the python requests library """ import requests import time import numpy as np try: time.sleep(np.random.random_sample()*10) start = time.time() response = requests.post(url=url, json=bunch) assert respon...
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def rdfile_reader(filename): """Generator function returning individual reactions from the specified RD file.""" lr = LineReader(filename) read_rdf_header(lr) keep_reading = True while keep_reading: reaction, keep_reading = read_reaction(lr) yield reaction lr.close()
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def numeric_plots(df): """ Creating a matrix of correlation plots with the numeric features. Parameters ---------- df: pandas.dataframe A pandas dataframe Returns ------- splom: Altair chart object The Altair object for the plots Example ------- ...
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def _kv_read_checked(conf, key, default=None): # type: (dict, str, obj) -> obj """Read a key as some value with a check against None and length :param dict conf: configuration dict :param str key: conf key :param obj default: default to assign :rtype: obj or None :return: value of key ""...
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def authorization(request, user_name): """ 메일로 발송된 인증 url로 요청했을 때 작동하는 views """ name = base64.b64decode(user_name.encode('utf-8')) # 인코딩되었던 email name 부분을 디코딩 email = name.decode('utf-8') + '@knu.ac.kr' # 뒤에 knu.ac.kr를 붙여서 완전한 메일 구성 user = User.objects.get(email=email) user.is_active = True #...
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def info(ctx: click.Context) -> None: """Show information on the kong instance.""" info = get("information", lambda: information(ctx.obj["session"])) click.echo(json_pretty(info))
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def main(): """Train model. """ config = load_config() human36m = get_dataset(config) model = get_model(config) criterion = get_criterion(config) optimizer = get_optimizer(config, model) lr_scheduler = get_lr_scheduler(config, optimizer) device = get_device(config.USE_CUDA) # P...
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def registry() -> Dict[str, Dict]: """ Return a dictionary of problems of the form: `{ "problem name": { "params": ..., }, ... }` where `flexs.landscapes.RosettaFolding(**problem["params"])` instantiates the rosetta folding landscape for the given set of para...
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def _Cfunction(name, flags, *types): """(INTERNAL) New ctypes function binding. """ if hasattr(dll, name): p = ctypes.CFUNCTYPE(*types) f = p((name, dll), flags) _Cfunctions[name] = f return f raise NameError('no function %r' % (name,))
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def update_quarter_scores(game): """ Utility to update quarter scores for existing games. New games handled via ncaa_loader. """ doc = urllib.urlopen(game.get_ncaa_xml_url()).read() soup = BeautifulSoup(doc) quarters = len(soup.findAll('score')[1:])/2 t2_quarters = soup.findAll('score')[1:qu...
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def no_alpha(rv, host, companion, limits, new_x=None, normalize=True): """Entangled spectrum model with entrinsic flux ratio. Need to make sure to mulitply by the radius**2 of the respective star. Parameters ---------- rv: float rv offset of the companion spectrum. host: Specturm ...
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def make_output(lights_to_render): """ Prints out the lights in the desired format. Only a helper function. Not used. :param lights_to_render: lights that should be rendered. :return: nothing """ output = "" for light_strip in lights_to_render: for light in light_strip: o...
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