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def get_keys(): """ Get all keys of a given class. """ yield lambda selector: base.find_keys(metadata.CRAIGSLIST, selector)
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def With(prop, val): """The 'with <property> <value>' specifier. Specifies the given property, with no dependencies. """ return Specifier(prop, val)
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def bbox_artist(artist, renderer, props=None, fill=True): """ A debug function to draw a rectangle around the bounding box returned by an artist's `.Artist.get_window_extent` to test whether the artist is returning the correct bbox. *props* is a dict of rectangle props with the additional property ...
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def pad_node_id(node_id: np.uint64) -> str: """ Pad node id to 20 digits :param node_id: int :return: str """ return "%.20d" % node_id
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def test_list_any_uri_enumeration_nistxml_sv_iv_list_any_uri_enumeration_1_1(mode, save_output, output_format): """ Type list/anyURI is restricted by facet enumeration. """ assert_bindings( schema="nistData/list/anyURI/Schema+Instance/NISTSchema-SV-IV-list-anyURI-enumeration-1.xsd", inst...
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async def test_not_200_ok(status_code: int) -> None: """Responses that don't have status code 200 should not be cached.""" cache = Cache("locmem://null") spy = CacheSpy(PlainTextResponse("Hello, world!", status_code=status_code)) app = CacheMiddleware(spy, cache=cache) client = httpx.AsyncClient(app...
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def ballcurve(x: ArrayLike, xi: float) -> ArrayLike: """ function to generate the curve for the nested structure, given a shape parameter xi. If xi= 1 is linear. input: ---------- x: 1D array, [0,1] initial values to be evaluated on the function xi: number, >=1 shape paramete...
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def plot_attention(src_words: Union[np.ndarray, Sequence[str]], trg_words: Sequence[str], attention_matrix: np.ndarray, file_name: str, size_x: numbers.Real = 8.0, size_y: numbers.Real = 8.0) -> None: """This takes in sourc...
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def event_log(time, name): """开发测试用""" print('Event ' + name + ', happened at ' + str(time))
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def accept_incoming_connections(): """Sets up handling for incoming clients.""" while True: client, client_address = SERVER.accept() print("%s:%s has connected." % client_address) fc = open("connections_log", "a+") fc.write("%s:%s has connected.\n" % client_address) ...
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def center_vertices(vertices, faces, flip_y=True): """ Centroid-align vertices. Args: vertices (V x 3): Vertices. faces (F x 3): Faces. flip_y (bool): If True, flips y verts to keep with image coordinates convention. Returns: vertices, faces """ vertices = verti...
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def test_schema_selection( schema: dict, mask: singer.SelectionMask, stream_name: str, ): """Test that schema selection rules are correctly applied to SCHEMA messages.""" selected_schema = get_selected_schema( stream_name, schema, mask, logging.getLogger(), ) ...
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def start_client(page_to_load, PORT=8563): """ Starts Python-Eel client and loads the page passed in 'page_to_load', on port 'PORT'. RETURNS: None """ print("in start client") try: eel.start(page_to_load, port=PORT) except Exception: page_to_load = 'get_chrome.html' ...
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def test_environ(script, tmpdir): """$PYTHONWARNINGS was added in python2.7""" demo = tmpdir.join('warnings_demo.py') demo.write(''' from pip._internal.utils import deprecation deprecation.install_warning_logger() from logging import basicConfig basicConfig() from warnings import warn warn("deprecated!", ...
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def metadata_validator(form, value): """ Validates that custom citations are correct. :param form: Metadata schemas/form to validate :param value: Appstruct/values passed in for validation. :return: None, raise a colander.Invalid exception if the validation fails. """ error = False exc ...
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def fingerprint_atompair(fpSize=2048, count=False): """Atom pair fingerprint (list of int). Args: fpSize: Size of the generated fingerprint (defaults to 2048). count: The default value of False will generate fingerprint bits (0 or 1) whereas a value of True will generate the count o...
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def bend_euler_s(**kwargs) -> Component: """Sbend made of euler bends.""" c = Component() b = bend_euler(**kwargs) b1 = c.add_ref(b) b2 = c.add_ref(b) b2.mirror() b2.connect("o1", b1.ports["o2"]) c.add_port("o1", port=b1.ports["o1"]) c.add_port("o2", port=b2.ports["o2"]) return c
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def main(): """Function: main Description: Initializes program-wide used variables and processes command line arguments and values. Variables: dir_chk_list -> contains options which will be directories. func_dict -> dictionary list for the function calls or other options. ...
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def default(args): """Default task, called when no task is provided (default: init).""" def help_function(): pass # paver.tasks.help(args, help_function) call_task("help", args=args)
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def phot_error(star_ADU,n_pix,n_b,sky_ADU,dark,read,gain=1.0): """ Photometric error including INPUT: star_ADU - stellar flux in ADU (total ADU counts within aperture) n_pix - number of pixels in aperture n_b - number of background pixels sky_ADU - in ADU/pix dark ...
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def tan(x): """ tan(x) -> number Return the tangent of x; x in radians. """ try: res, x = _init_check_mpfr(x) gmp.mpfr_tan(res, x, gmp.MPFR_RNDN) return mpfr._from_c_mpfr(res) except TypeError: res, x = _init_check_mpc(x) gmp.mpc_tan(res, x, gmp.MPC_RNDNN...
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async def test_get_id_from_scene_name() -> None: """Test looking up a scene id from the name.""" with pytest.raises(ValueError): scenes.get_id_from_scene_name("non_exist") assert scenes.get_id_from_scene_name("Ocean") == 1
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def test_wrapped_func(): """ Test uncertainty-aware functions obtained through wrapping. """ ######################################## # Function which can automatically handle numbers with # uncertainties: def f_auto_unc(angle, *list_var): return umath.cos(angle) + sum(list_var) ...
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def T2str_mag_simplified(K, TE, T2str, N): """Signal Model of T2str-weighted UTE GRE Magnitude Image S = K * [ exp(-TE/T2*) ] + N parameters: K :: constant (proportional to proton density) TE :: sequence echo time T2str :: relaxation due to spin-spin effects and dephasing N...
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def main(): """The program's main entry point""" program_name = os.path.basename(sys.argv[0]) initialize_debugging(program_name) process_environment_variables() arguments = process_command_line() # Reading from standard input if there are no arguments: text = [] longuest_line = 0 i...
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def tune(runner, kernel_options, device_options, tuning_options): """ Find the best performing kernel configuration in the parameter space :params runner: A runner from kernel_tuner.runners :type runner: kernel_tuner.runner :param kernel_options: A dictionary with all options for the kernel. :type...
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def test_nvswitch_traffic_p2p(handle, switchIds): """ Verifies that fabric can pass p2p read and write traffic successfully """ test_utils.skip_test("Bandwidth field not being updated yet") # TX_0 and RX_0 on port 0 nvSwitchBandwidth0FieldIds = [] for i in range(dcgm_fields.DCGM_FI_DEV_NVS...
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def getTimeString(t, centi=True): """ category: General Utility Functions Given a value in milliseconds, returns a Lstr with: (hours if > 0):minutes:seconds:centiseconds. WARNING: this Lstr value is somewhat large so don't use this to repeatedly update node values in a timer/etc. For that p...
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def version(ctx): """Show CSE version""" ver = 'Container Service Extension for %s' % \ 'VMware vCloud Director, version %s' % \ pkg_resources.require("container-service-extension")[0].version print(ver)
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def validation_supervised(model, input_tensor, y_true, loss_fn, multiclass =False, n_classes= 1): """ Returns average loss for an input batch of data with a supervised model. If running on multiclass mode, it also returns the accuracy. """ y_pred = model(input_tensor.float()) if multiclass: ...
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def configure_logger(app): """ logging: based on the configured setting we :param app: :return: """ # # support stream and rotating handlers logger = app.logger logger.setLevel(logging.INFO) if app.config['HANDLER'] == "StreamHandler": class InfoFilter(logging.Filter): ...
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def timing(func=None, *, name=None, is_stage=None): """ Decorator to measure the time taken by the function to execute :param func: Function :param name: Display Name of the function for which the time is being calculated :param is_stage: Identifier for mining stage Examples: ...
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def is_skip_file(filename): """ Should the given file be skipped over for testing :param filename: The file's name :type filename: String :return: True if the given file should be skipped, false otherwise :rtype: Boolean """ filename_len = len(filename) for skip_name in SKIP_FILES: ...
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def lowercase_or_notify(x): """ Lowercases the input if it is valid, otherwise logs the error and sets a default value Args: String to lowercase Returns: Lowercased string if possible, else unmodified string or default value. """ try: return x.lower() ex...
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def is_not_null(node, eval_type, given_variables): """Process the is_not_null operator. :param node: Formula node :param eval_type: Type of evaluation :param given_variables: Dictionary of var/values :return: Boolean result, SQL query, or text result """ if eval_type == EVAL_EXP: # ...
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def search_for_rooms(filters, allow_admin=False, availability=None): """Search for a room, using the provided filters. :param filters: The filters, provided as a dictionary :param allow_admin: A boolean specifying whether admins have override privileges :param availability: A boolean specifying whether...
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def effect_inc_decr_bid_factors(strategy=2): """ Experiment that check the effect of having all the possible values for increasing and decreasing bidding factor. Plots a hit map with the average of difference between the starting prices and the market price in the last round. This average difference is ...
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def get_scalar(obj): """obj can either be a value, or a type Returns the Stella type for the given object""" type_ = type(obj) if type_ == type(int): type_ = obj elif type_ == PyWrapper: type_ = obj.py # HACK { if type_ == type(None): # noqa return None_ elif t...
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def send_test_packets( mode=DEFAULT_SENDER_MODE, config=DEFAULT_CONFIG, publickey=DEFAULT_PUBLICKEY, address=DEFAULT_HOSTNAME, port=None, n=3, encrypt=True, raw_packet=None): """ Send n (default 3) test packets to the DoseNet server. """ s...
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def get_importable_subclasses(base_class, used_in_automl=True): """Get importable subclasses of a base class. Used to list all of our estimators, transformers, components and pipelines dynamically. Args: base_class (abc.ABCMeta): Base class to find all of the subclasses for. used_in_automl: Not...
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def sin(x, deg=None, **kwargs): """Computes the sine of x in either degrees or radians""" x = float(x) if deg or (trigDeg and deg is None): x = math.radians(x) return math.sin(x)
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def Debug(message, print_init_shape=True, print_forward_shape=False, print_inverse_shape=False, compare_vals=False, name='unnamed'): # language=rst """ Help debug shapes :param print_init_shape: Print the shapes :param print_forward_shape: Print the...
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def limit_movie_char_fields(sender, instance, *args, **kwargs): """ Limits Movie's character fields based on maximum length. """ if len(instance.title) > Movie.TITLE_MAX_LENGTH: instance.title = instance.title[:Movie.TITLE_MAX_LENGTH-1] + '…' instance.description = utils.trim_text_...
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def bloated_nested_block(block_dets, *, repeat=False, **_kwargs): """ Look for long indented blocks under conditionals, inside loops etc that are candidates for separating into functions to simplify the narrative of the main code. """ bloated_outer_types = set() included_if = False for l...
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def _to_bytes(value: Any, type_str: str = "bytes32") -> bytes: """Convert a value to bytes""" if isinstance(value, bool) or not isinstance(value, (bytes, str, int)): raise TypeError(f"Cannot convert {type(value).__name__} '{value}' to {type_str}") value = _to_hex(value) if type_str == "bytes": ...
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def _plan_ftd1c(pa: str = "abc", pb: int = 50): """ This is plan description. Multiline string. Parameters ---------- pa Description of the parameter pa pb : int Description of the parameter pb """ yield from [pa, pb]
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def _map_sbs_sigs_back(df: pd.DataFrame) -> pd.Series: """ Map Back Single-Base Substitution Signatures. ----------------------- Args: * df: pandas.core.frame.DataFrame with index to be mapped Returns: * pandas.core.series.Series with matching indices to context96 """ def _c...
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def test_pipeline_get_eta_metric_peak( peak: bool, expected: float, source_df: pd.DataFrame ) -> None: """ Tests the calculation of the eta metric. Args: peak: Whether to use peak flux when calculating the eta. expected: Expected eta value. source_df: The dataframe conta...
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def rmsd( coords1: np.ndarray, coords2: np.ndarray, atomicn1: np.ndarray, atomicn2: np.ndarray, center: bool = False, minimize: bool = False, atol: float = 1e-9, ) -> float: """ Compute RMSD Parameters ---------- coords1: np.ndarray Coordinate of molecule 1 c...
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def get_bridge_interfaces(yaml): """Returns a list of all interfaces that are bridgedomain members""" ret = [] if not "bridgedomains" in yaml: return ret for _ifname, iface in yaml["bridgedomains"].items(): if "interfaces" in iface: ret.extend(iface["interfaces"]) retu...
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def serialize_for_c(qr, border, message): """ generates a c-style representation of the qr code to stdout. """ # size the output for an even fit to an 8-bit matrix output_size = 8 * (4 * qr.version + 17 + 2 * border) # NB: trying to invert the colors here doesn't work with qrcode-6.1 img = qr.make_...
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def get_library_dirs(): """ Return lists of directories likely to contain Arrow C++ libraries for linking C or Cython extensions using pyarrow """ import os import sys package_cwd = os.path.dirname(__file__) library_dirs = [package_cwd] if sys.platform == 'win32': # TODO(we...
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def init_trunk_weights(model, branch=None): """ Initializes the trunk network weight layer weights. # Arguments branch: string indicating the specific branch to initialize. Default of None will initialize 'push-', 'grasp-' and 'place-'. """ # Initialize network weights for m in model.named...
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def get_entity_matched_docs(doc_id_map: List[str], data: List[dict]): """Gets the documents where the document name is contained inside the claim Args: doc_id_map (List[str]): A list of document names data (List[dict]): One of the FEVEROUS datasets Returns: List[List[str]]: A list ...
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def getTemplateKeys(k): """ Prints out templates key for license or gitignore templates from github api Params: str Return: code """ code = 0 if k.lower() == "license": r = requests.get(GITHUB_LICENSE_API) if r.status_code != 200: code = 1 print("...
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def test_field_extension_exclude_and_include(app_client, load_test_data): """Test POST search including/excluding same field (fields extension)""" test_item = load_test_data("test_item.json") resp = app_client.post( f"/collections/{test_item['collection']}/items", json=test_item ) assert res...
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def get_num_conv2d_layers(model, exclude_downsample=True, include_linear=True): """ Check the number of Conv2D layers. """ num = 0 for n, m in model.named_modules(): if "downsample" in n and exclude_downsample: continue if is_conv2d(m) or (include_linear and isinstance(m, nn.Lin...
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def im_list_to_blob(ims, RGB, NIR, DEPTH): """Convert a list of images into a network input. Assumes images are already prepared (means subtracted, BGR order, ...). """ max_shape = np.array([im.shape for im in ims]).max(axis=0) num_images = len(ims) if RGB & NIR & DEPTH: blob = np.zeros((...
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async def async_setup_entry(hass, config_entry, async_add_devices): """Set up entry.""" miniserver = get_miniserver_from_config_entry(hass, config_entry) loxconfig = miniserver.lox_config.json devices = [] for switch_entity in get_all_switch_entities(loxconfig): if switch_entity["type"] in ...
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def displayOutput(win,text): """Displays info to the user at the bottom left windows""" text = text.split(",") x,y = 215,485 for record in text: text = Text(Point(x,y),record); text.setFill('grey2') text.setSize(11); text.draw(win) y+=25
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def gradU_from_momenta(x, p, y, sigma): """ strain F'(x) for momenta p defined at control points y a method "convolve_gradient" is doing a similar job but only compute (gradF . z) x (M, D) p (N, D) y (N, D) return gradU (M, D, D) """ kern = deformetrica.support.kernels.factory(...
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def testSingleSidedSinewaveBoxcar(): """ Tests teh power spectrum of a sinewave with no hann window. """ x = np.arange(-5, 5+0.5, 0.5) raw_data = np.sin(x) actual_spectrum = power_spectrum(raw_data, window='box', siding='single') desired_spectrum = np....
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def rules_cuda_dependencies(with_rules_cc = True): """Loads rules_cuda dependencies. To be called from WORKSPACE file. Args: with_rules_cc: whether to load and patch rules_cc repository. """ maybe( name = "bazel_skylib", repo_rule = http_archive, sha256 = "97e70364e9249702...
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def summarize_gp(gp_model, max_num_points=None, weight_function=None): """Summarize the GP model with a fixed number of data points inplace. Parameters ---------- gp_model : gpytorch.models.ExactGPModel max_num_points : int The maximum number of data points to use. weight_function: Call...
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def process(seed, K): """ K is model order / number of zeros """ print(K, end=" ") # create the dirac locations with many, many points rng = np.random.RandomState(seed) tk = np.sort(rng.rand(K)*period) # true zeros uk = np.exp(-1j*2*np.pi*tk/period) coef_poly = poly.polyfromro...
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def convert_to_file(cgi_input, output_file, twobit_ref): """Convert a CGI var file and output VCF-formatted data to file""" if isinstance(output_file, basestring): output_file = auto_zip_open(output_file, 'wb') conversion = convert(cgi_input, twobit_ref) # set up generator for line in convers...
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def _gen_sieve_array(M, factor_base): """Sieve Stage of the Quadratic Sieve. For every prime in the factor_base that doesn't divide the coefficient `a` we add log_p over the sieve_array such that ``-M <= soln1 + i*p <= M`` and ``-M <= soln2 + i*p <= M`` where `i` is an integer. When p = 2 then log_p i...
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def yolo_eval_weighted_nms(yolo_outputs, anchors, num_classes, image_shape, score_threshold=.6): """ yolo evaluate Args: yolo_outputs: [batch, 13, 13, 3*85] anchors: [9, 2] num_cl...
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def next_coach_id(): """ Generates the next id for newly added coaches, since their slugs (which combine the id and name fields) are added post-commit. """ c = Coach.objects.aggregate(Max("id")) return c['id__max']+1
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def get_unsigned_short(data, index): """Return two bytes from data as an unsigned 16-bit value""" return (data[index+1] << 8) + data[index]
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def getObjDetRoI(imgSize, imgPatchSize, objx1, objy1, objx2, objy2): """ Get region of interest (ROI) for a given object detection with respect to image and image patch boundaries. :param imgSize: size of the image of interest (e.g., [1920x1080]). :param imgPatchSize: Patch size of the image patch of in...
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def sigma_pp(b): """pair production cross section""" return ( sigma_T * 3.0 / 16.0 * (1 - b ** 2) * (2 * b * (b ** 2 - 2) + (3 - b ** 4) * np.log((1 + b) / (1 - b))) )
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def plot_shots_per_lens(subplot: matplotlib.axes.Axes, data: pd.DataFrame) -> None: """ Barplot of the number of shots per lens used, on the provided subplot. Acts in place. Args: subplot: the subplot plt.axes on which to plot. data: the pandas DataFrame with your exif data. Returns: ...
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def compute_radii_simple(distances): """ Compute the radius for every hypersphere given the pairwise distances to satisfy Eq. 6 in the paper. Does not implement the heuristic described in section 3.5. """ n_inputs = tf.shape(distances)[1] sorted_distances = tf.sort(distances, direction="ASC...
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def data_resolution_and_offset(data, fallback_resolution=None): """Compute resolution and offset from x/y axis data. Only uses first two coordinate values, assumes that data is regularly sampled. Returns ======= (resolution: float, offset: float) """ if data.size < 2: if data.s...
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def show_with_memory_profiler(times, cards_fn, suites, numbers, print_results=False): """A decorator to show reuslts and time elapsed. """ fun = memory_profiler.profile(cards_fn) fun(suites, numbers) cards = cards_fn(suites, numbers) if print_results: print...
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def get_changed_files_committed_and_workdir( repo: Git, commithash_to_compare: str ) -> List[str]: """Get changed files between given commit and the working copy""" return repo.repo.git.diff("--name-only", commithash_to_compare).split()
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def load_document_by_string( string: str, uri: str, loadingOptions: Optional[LoadingOptions] = None ) -> Any: """Load a CWL object from a serialized YAML string.""" yaml = yaml_no_ts() result = yaml.load(string) return load_document_by_yaml(result, uri, loadingOptions)
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def rename_symbol(symbol): """Rename the given symbol. If it is a C symbol, prepend FLAGS.rename_string to the symbol, but account for the symbol possibly having a prefix via split_symbol(). If it is a C++ symbol, prepend FLAGS.rename_string to all instances of the given namespace. Args: symb...
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def py_time(data): """ returns a python Time """ if '.' in data: return datetime.datetime.strptime(data, '%H:%M:%S.%f').time() else: return datetime.datetime.strptime(data, '%H:%M:%S').time()
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def create_empty_copy(G,with_nodes=True): """Return a copy of the graph G with all of the edges removed. Parameters ---------- G : graph A NetworkX graph with_nodes : bool (default=True) Include nodes. Notes ----- Graph, node, and edge data is not propagated to the new ...
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def trim_resize_frame(frame, resize_ratio, trim_factor): """ Resize a frame according to specified ratio while keeping original the original aspect ratio, then trim the longer side of the frame according to specified factor. Parameters ---------- frame: np.array The input frame resize_ratio: floa...
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def copy_doclist(doclist, no_copy = []): """ Save & return a copy of the given doclist Pass fields that are not to be copied in `no_copy` """ cl = [] # main doc c = Document(fielddata = doclist[0].fields.copy()) # clear no_copy fields for f in no_copy: if c.fields.has_key(f): c.fields[f] = No...
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def set_from_tags(tags, title, description, all=True): """all=True means include non-public photos""" user = flickr.test_login() photos = flickr.photos_search(user_id=user.id, auth=all, tags=tags) set = flickr.Photoset.create(photos[0], title, description) set.editPhotos(photos) return set
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def submit(): """Upload local file. Needs to follow the station register template. """ spec = get_layout_active_spec('Upload') if request.method == 'POST': filename = os.path.join( app.config['UPLOAD_FOLDER'], datetime.date.today().strftime('%y%m%d'), req...
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def test_true(): """True case test.""" assert two_sum([1, 2, 5, 6, 7], 9) == [1, 4] assert two_sum_dict([1, 2, 5, 6, 7], 9) == [1, 4]
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def heg_kfermi(rs): """ magnitude of the fermi k vector for the homogeneous electron gas (HEG) Args: rs (float): Wigner-Seitz radius Return: float: kf """ density = (4*np.pi*rs**3/3)**(-1) kf = (3*np.pi**2*density)**(1./3) return kf
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def stock_em_jgdy_detail(): """ 东方财富网-数据中心-特色数据-机构调研-机构调研详细 http://data.eastmoney.com/jgdy/xx.html :return: 机构调研详细 :rtype: pandas.DataFrame """ url = "http://datainterface3.eastmoney.com/EM_DataCenter_V3/api/JGDYMX/GetJGDYMX" params = { "js": "datatable8174128", "tkn": "e...
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def intersect_with_grid(int_coords, fill=False): """ Args: - int_coords: projected coordinates to be used for intersection - fill: whether to include the interior of the intersected cells. I.e. if the coords of a box are provided and intersect with 0,0 and 4,4, this would inc...
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def safe_epsilon_softmax(epsilon, temperature): """Tolerantly handles the temperature=0 case.""" egreedy = epsilon_greedy(epsilon) unsafe = epsilon_softmax(epsilon, temperature) def sample_fn(key: Array, logits: Array): return jax.lax.cond(temperature > 0, (key, logits), lambda tup:...
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def get_object_from_controller(object_type, object_name, controller_ip, username, password, tenant): """ This function defines that it get the object from controller or raise exception if object status code is less than 299 :param uri: URI to get the object :param controller_ip: ip of controller ...
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def dn2rdn_Hyspex(rdn_image_file, dn_image_file, radio_cali_file, acquisition_time): """ Do Hyspex radiometric calibration. Arguments: rdn_image_file: str Radiance image filename. dn_image_file: str Hyspex DN image filename. radio_cali_file: str Hyspex...
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def scale_reshaping(scale: np.ndarray, op2d: common.BaseNode, kernel_channel_mapping: DefaultDict, in_channels: bool = True) -> np.ndarray: """ Before scaling a kernel, the scale factor needs is reshaped to the correct dimensions. This is a functio...
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def process_metadata(split_name, caption_data, image_dir): """Process the captions and combine the data into a list of ImageMetadata. Args: split_name: A train/test/val split name. caption_data: caption file containing caption annotations. image_dir: Directory containing the image files. R...
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def test_circuits_update_interface(runner, circuit, interface): """ Test updating a circuit's Z side interface """ with runner.isolated_filesystem(): result = runner.run('circuits update -i {0} -Z {1}'.format( circuit['name'], interface['id'] )) assert_output(result, ['Updat...
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def add_new_exif(info): """ 创建exif记录(从表) :param info: :return: """ return ExifInfo(make=info.get('Image Make'), model=info.get('Image Model'), orientation=info.get('Image Orientation'), date_original=info.get('EXIF DateTimeOriginal'), ...
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def test_bad_file(): """ Dies on bad file """ bad = random_string() rv, out = getstatusoutput(f'{RUN} {bad}') assert rv != 0 assert re.search(f"No such file or directory: '{bad}'", out)
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def prefetch_input_data(reader, file_pattern, is_training, batch_size, values_per_shard, input_queue_capacity_factor=16, num_reader_threads=1, shard_que...
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def find_rst( aligntk_path, pairs, images, mask, output, rotation, max_res, scale, tx, ty, summary): """ Wrapper for find_rst in aligntk. Args: aligntk_path: Path to aligntk bins pairs: Path to a *.lst file with lines in form of "{src} {tgt} {src}_{t...
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def save_result_subj_task(res, subject, task, resultdir=None): """ Save partial (subj,task) results data from a classifier inputs: res - results output of do_subj_classification subject - subject id - sid00[0-9]{4} task - name of task from tasks resultdir - directory for resul...
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