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from typing import Optional def get_lambda_decay(schedule_type: str, decay: float, decay_step: Optional[int] = None): """Create learning rate scheduler (different strategies).""" if schedule_type in ['exponential', 'smooth']: assert 1.0 >= decay >= 0.9, \ f"A decay factor >1 or <0.9 is no...
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def get_default_permissions(opts): """Get default add/change/delete permissions given model._meta. Args: opts: model ._meta attribute. Returns: tuple of tuples (codename, verbose_name) for each default permission. """ return ((get_permission_codename(action, opts), ...
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def _execute_c2(state, context): """REP: Reset status bits. When used, it will set the bits specified by the 1 byte immediate value. This is the only means of setting the M and X status register bits. """ state.flags &= ~state.current_operand return context, None
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def fetchsoil(mukey): """ https://wepp.cloud/webservices/weppsoilbuilder/fetchsoil/100000/ """ fn = '%s.sol' % mukey fn_cache = _join(soil_dir, 'cache', fn[:3], fn) fn_invalid = _join(soil_dir, 'invalid', fn[:3], mukey) if _exists(fn_cache): result = open(fn_cache).read() ...
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def bytes_int(b: bytes) -> int: """convert bytes to int""" return int.from_bytes(bytes=b, byteorder=ENDIAN, signed=SIGNED)
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import json def cognitive_states(): """ Returns json in format { 'affect': <predicted affect score>, 'drives': <predicted drives score>, 'load': <predicted cognitive load score> 'percept': <predicted percept score>, 'social': <predicted s...
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def loss_function_E_wlco(params, params_const, ts, E_exp, bins=np.arange(0, 1.1, 0.03), cache=True): """Loss function for E histograms and WLC distance distribution with offset """ bph = recolor_burstsph_wlco(params, params_const, ts, cache=cache) return iloss_loglike_E(bph, E_e...
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import requests def delete_video_summary(self, summaryId): """Delete a video summary""" (endpoint, method) = self.endpoints['delete_video_summary'] endpoint = endpoint.replace(':summaryId', summaryId) try: headers = {'Authorization': self.token.authorization_header()} return requests.request(method,...
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import json def task_update(request, task_id): """ update task info :param request: request object :param task_id: task id :return: json """ if request.method == 'POST': task = Task.objects.filter(id=task_id) data = json.loads(request.body) data['clients'] = json.du...
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def rowcol_to_xy(rows, cols, raster): """non-uri version of rowcol_to_xy_uri""" gt = raster.GetGeoTransform() X = gt[0] + cols * gt[1] + rows * gt[2] Y = gt[3] + cols * gt[4] + rows * gt[5] return (X, Y)
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import copy def validate(spec, data): """Validates the data and creates the config objects""" data = copy.deepcopy(data) validated_data = {} def add_validated_section(section, config): if data.get(section): validated_data[section] = config.from_dict(data[section]) add_validat...
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from typing import Callable from typing import Iterable from typing import Tuple from typing import List def solve_eval( fenics_function: Callable, fenics_templates: Iterable[FenicsVariable], *args: np.array, ) -> Tuple[np.array, ufl.Form, Tuple[FenicsVariable], List[fenics.DirichletBC]]: """Computes ...
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def test_call_fuzz(): """Fuzz some functions.""" return """ fn main() { {dest} = takes_args(fuzz(), fuzz(), fuzz()); } fn takes_args(a: u8, b: u1, c: u4) -> u4 { write_value(&b, 10); return a + b + c; } fn write_value(ptr: *u1, val: u1) { *ptr = val; }...
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def woe_apply(S_data, DF_groups): """ Применение группировки и WoE-преобразования Parameters--------------- S_data : pandas.Series Значения предиктора DF_groups : pandas.DataFrame Данные о группировке предиктора Returns --------------- X_woe ...
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def prepare_sonar_gid_data(): """Prepare GID Sonar data.""" potholes_file = prod_file_base + "pothole_" + prod_file_end # Read CSV gid = pd.read_csv(potholes_file) # Set accepted fields fields = ['service_request_id', 'date_requested', 'date_updated', 'case_origin', 'service_name...
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def property_cached(fun=None, pytree_node=False): """Decorator to make the method behave as a property but cache the resulting value and clears it upon replace. Args: pytree_node: a leaf node in the pytree representation of this dataclass. If False this must be hashable """ if f...
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def show_vocabulary(word_id: int) -> str: """指定したものを表示する""" slack_msg = "該当する番号は見つからなかったっぽ!" with VocabularyDatabase() as v_d: result = v_d.get_word_list() cnt = 1 for row in result: _, text = row if cnt == word_id: slack_msg = text cnt += 1 return...
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def index(): """Video streaming home page.""" #FRmodel = faceRecoModel(input_shape=(3, 96, 96)) #FRmodel.compile(optimizer = 'adam', loss = triplet_loss, metrics = ['accuracy']) #load_weights_from_FaceNet(FRmodel) return render_template('index.html')
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import logging def file_read_auth( gateway, volume ): """ Verify whether or not the given gateway (which can be None) is allowed to read (GET) file metadata from the given volume. """ # gateway authentication required? if volume.need_gateway_auth() and gateway is None: logging.error( "no ...
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def remove_redundant_characters(str, char1, char2): """ remove substrings before and after two characters exmaple: input: '12@[123]57'. '[',']' output: '[123]' """ left_index = str.find(char1) right_index = str.find(char2) result = str[left_index: (right_index +1)] return result
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def process_fov(field_num: int, experiment_str: str): """Process a single field of view of ISS data Parameters ---------- field_num : int the field of view to process experiment_str : int path of experiment json file Returns ------- DecodedSpots : tabular object ...
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def state_changes_during_period(start_time, end_time=None, entity_id=None): """ Return states changes during UTC period start_time - end_time. """ where = "last_changed=last_updated AND last_changed > ? " data = [start_time] if end_time is not None: where += "AND last_changed < ? " ...
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def double(number): """ This function returns twice the value of a given number """ return number * 2
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def fund_nav_df_fillna(fund_nav_df): """ 为 fund_nav_df 补充nav数据并记录错误日志 :param fund_nav_df: :return: """ fund_nav_df.dropna(subset=['nav'], inplace=True) fund_nav_df['nav_acc'] = fund_nav_df[['nav', 'nav_acc']].fillna(method='ffill', axis=1)['nav_acc'] return fund_nav_df
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def run_test_c1_start(server): """Tests that a subscriber C1 starts correctly.""" return start_and_check_client(server, "1")
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def librarianIDExists(accID): """ Da li postoji bibliotekar sa datim ID-jem """ for _, v in _users.items(): loopAccLevel = v.GetAccessLevel() if loopAccLevel == 1 and v.getID() == accID: return True return False
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def find_holes(x): """find the beginning and end of continuous None in the given iterator Args: x (iterator): the input sequence Returns: list of (int, int) indicating the beginning and the end of a continuous None sub-sequence """ holes = [] in_hole = False for idx, val in...
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def getAllPathsInfo(demands, d_links, g, wt="weight"): """ Gets info on all the solution paths from the demand-link solution variables Parameters ---------- demands : dictionary dictionary of original problem demands. Note that the demand volumes are not used just the demand pairs. ...
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def eliminate_duplicates(duplicated_iterable): """ 对于包含重复元素且基于数组(可以通过下标访问)的可迭代对象,清除其重复元素并保持原顺序不变 @日期: 过去的某个时刻 @作者: 徐嘉辉 Args: duplicated_iterable: 包含重复元素且基于数组(可以通过下标访问)的可迭代对象 Returns: 返回一个保持了原来元素顺序且去重完毕的列表 """ return sorted(set(duplicated_iterable), key=duplicated_iterab...
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def permutate_and_concat_batch_patches(batch_patch_embeddings, perms): """Permutates patches from a mini batch according to permutations. Args: batch_patch_embeddings: input tensor with shape [n*PATCH_COUNT, h, w, c] or [n*PATCH_COUNT, c], where PATCH_COUNT is the patch number per image and n is th...
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def unique_dict_in_list(array): """Returns the unique dictionaries in the input list, preserving the original order. Replaces ``unique_elements_in_list`` because `dict` is not hashable. Parameters ---------- array: `List` [`dict`] List of dictionaries. Returns ------- uniqu...
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def update_weights_2(x_sample, y_target_sample, F_weights,F_weights_2, G_weights,G_weights_2, omega,omega_2, thresholds,thresholds_2, buffer_bins, dt, leak, ...
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def zangle_to_quat(zangle): """ :param zangle in rad :return: quaternion """ return quat_mul(quat_create(np.array([0, 1., 0]), np.pi/2), quat_create(np.array([-1., 0, 0]), zangle))
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def merge(prevArtifacts, nextArtifacts): """Merge artifact lists with nextArtifacts masking prevArtifacts""" artifactList = list(nextArtifacts.copy()) artifactList.extend(prevArtifacts) merged = [] excludedNames = set() for artifact in artifactList: if artifact.name not in excludedName...
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def update(isamAppliance, name, description=None, authenticateCallbacks=None, signInCallbacks=None, localIdCallbacks=None, signOutCallbacks=None, authnPolicyCallbacks=None, check_mode=False, force=False): """ Update a specific point of contact profile """ update_required, poc_id = _check(isam...
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def handler403(request): """ custom 403 view :param request: :return: """ return permission_denied(request, Exception(), template_name='base/403.html')
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def get_random_state(random_state=None): """Return a Mersenne Twister pseudo-random number generator. Parameters ---------- seed : integer or ``numpy.random.RandomState``, optional, default ``None`` Returns ------- random_state : mtrand.RandomState object """ if not random_state: ...
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def fill_gaps(current_time: int, lookback: int, resolution: str) -> set: """ This function will fill time-series gaps. For example, if a second resolution metric has no data values for three seconds during a period of time, the value will be filled zero. This helps make the data more palatable ...
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def stencil_residual(pp_image, hp_nn, y): """Objective function.""" avg_weight = 0.5 ** 0.5 * 1 / len(y.reshape(-1)) ** 0.5 r1 = pp_image[None,:,:,:] - y[None,:,:,:] r2 = net_apply(hp_nn,pp_image[None,:,:,:]) out = jnp.concatenate((r1.reshape(-1),r2.reshape(-1)),axis=0) return avg_weight * out
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def is_datetime(val: str, tzone=None): """Check if a string is datetime, return the datetime if yes""" try: # default time zone if tzone is None: tzone = UTC else: tzone = gettz(tzone) dt = parse_dt(val) dt = dt.replace(tzinfo=tzone) ret...
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def get_city_lat_long(request): """ City code based on ISO 3166-1 (http://en.wikipedia.org/wiki/ISO_3166-1) :param request: Request Object :return: ISO Code of the City """ if 'X-AppEngine-City' in request.headers: return request.headers['X-AppEngine-CityLatLong'] return None
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def compare_events(df, wf=1): """ compare_events compares anomalous events that are technician labeled and machine detected. Labeled and detected data may have been widened to increase the window of overlap. Arguments: wf: integer widening factor used when generating events df: data fram...
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def get_signature_genes(input_path, sig_genes_complete, var_cutoff=0.1): """ Get overlap between signature genes and available genes :param input_path: :param sig_genes_complete: :return: new sig_genes """ data = pd.read_table(input_path, index_col=0) keep = data.var(axis=1) > var_cutoff...
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def create_quart_app(name, static_url_path="", static_folder=""): """创建 quart app,并注入 middleware""" global PASSTHROUGH_HTTP_ERROR PASSTHROUGH_HTTP_ERROR = Global.config.get("common.http.passthrough_http_error") app = Quart(name, static_folder=static_folder, static_url_path=static_url_path) app.regi...
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from bcbio.structural import cnvkit def run(vrn_info, cnvs_by_name, somatic_info): """Run THetA analysis given output from CNV caller on a tumor/normal pair. """ cmd = _get_cmd("RunTHeTA.py") if not cmd: logger.info("THetA scripts not found in current PATH. Skipping.") else: work_d...
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import math def gen_new_patches(swatches_XYZ_old, metric='L*VAC'): """ colors match the l*VAC instead or l* """ targets = {} steps = {} abs_tols = {} functions = {} targets['L*VAC'] = 47 steps['L*VAC'] = 0.0001 abs_tols['L*VAC'] = 0.01 functions['L*VAC'] = c.lightness_hk_xy...
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from typing import Any import sympy import numbers def is_parameterized(val: Any) -> bool: """Returns whether the object is parameterized with any Symbols. A value is parameterized when it has an `_is_parameterized_` method and that method returns a truthy value, or if the value is an instance of sym...
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from typing import Any def resnet18(pretrained: bool = False, progress: bool = True, **kwargs: Any) -> ResNet: """ ResNet-18 model from "Deep Residual Learning for Image Recognition" <https://arxiv.org/pdf/1512.03385.pdf>_. Args: pretrained: If True, returns a model pre-trained on ImageNet ...
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from datetime import datetime def get_trials_meta(filename): """ Take a filename and extract time_iso and block information from it. :param filename: file name of trials table of form trials-[time_iso]-Block_[n].csv :type filename: str :return: time_iso and block as namedtuple :rtype: tuple ...
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def parse_checksum(header: str) -> str: """ Parse the Checksum header (eg. from the email epilogue) """ # Epilogue example: # "Checksum: e231f8e724890aca477ca5efdfc7bc9c31e1da124510b4f420ebcf9c2d1fbe74\r\n" msg = HeaderParser().parsestr(header) return msg["Checksum"]
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def Bool(name, ctx=None): """Return a Boolean constant named `name`. If `ctx=None`, then the global context is used. >>> p = Bool('p') >>> q = Bool('q') >>> And(p, q) And(p, q) """ ctx = _get_ctx(ctx) return BoolRef(Z3_mk_const(ctx.ref(), to_symbol(name, ctx), BoolSort(ctx).ast), ctx)
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def partial_dMF(x, mf_definition, partial_parameter, func): """Calculates the partial derivative of a membership function at a point x.""" mf_name = func.__name__ if mf_name == 'gaussmf': sigma = mf_definition['sigma'] mean = mf_definition['mean'] if partial_parameter == 'sigma':...
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def get_event_list_current_file(df, fname): """ Get list of events for a given filename :param df: pd.DataFrame, the dataframe to search on :param fname: the filename to extract the value from the dataframe :return: list of events (dictionaries) for the given filename """ event_file = df[df[...
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def build(package, version_query=None, namespace="default", variables={}, shards=None, endpoint=DEFAULT_ENDPOINT): """ A build is the construction/expansion of a package. The result are the expanded/ready to use resources, including every dependencies. Args: package (:obj:`str`): packag...
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def circularArrayLoop( nums): """ :type nums: List[int] :rtype: bool """ def move(i): res = (i+nums[i])%len(nums) return res slow = move(0) fast = move(slow) while slow != fast: slow = move(slow) fast = move(move(fast)) fast = move(slow) if fast ==...
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def _clean_str(value, strip_whitespace=True): """ Remove null values and whitespace, return a str This fn is used in two places: in SACTrace.read, to sanitize strings for SACTrace, and in sac_to_obspy_header, to sanitize strings for making a Trace that the user may have manually added. """ ...
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def status(): """获取所有通道流状态""" lst = [] for k in _ff2rtmp: dic = {'id': k, 'status': _ff2rtmp[k].getMediaStatus()} lst.append(dic) return response.make_response_success_data(lst)
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import random def createRandomGraph(): """Creates a digraph with 7 randomly chosen integer nodes from 0 to 9 and randomly chosen directed edges (between 10 and 20 edges) """ g = {} n = random.sample([0,1,2,3,4,5,6,7,8,9], 7) for i in n: g[i] = [] edges = random.randint(10,20) c...
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def gaussAve(t,y,std=.01): """ Does an average in y with weights based on distances to all other points in t. """ assert len(y) == len(t) n = len(t) dists = (t.reshape(n,1) - t.reshape(1,n)) dists[dists> .5] -= 1 dists[dists<-.5] += 1 w = np.exp(-.5*dists**2/std**2) return np.sum...
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import ctypes def task_2_1(id_object, id_nodes, filename_graph=FILENAME_GRAPH): """ Searching tree shortest distances with minimal weight to selected nodes from selected object of infrastructure Arguments :param id_object: int * Id object of infrastructure - SELECTED ...
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import json def read_json(filepath, intkeys=True, intvalues=True): """ read text from filepath (`open(find_filepath(expand_filepath(fp)))`) then json.loads() >>> js = read_json('wsj_pugnlp.detector_morse.Detector.json.gz', intvalues=False) >>> list(js.keys()) ['py/object', 'classifier', 'nocase'] ...
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import math def displace_on_a_sphere(point, radius=0.0): """ Masked points are placed on a random location on a sphere around the original location. Masked points are not placed inside the sphere itself. If we define a coordinate like ... >>> coordinate = Point(0.0, 0.0, 0.0) ... and c...
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def ini_elec_levels(spc_dct_i, spc_info): """ get initial elec levels """ if 'elec_levels' in spc_dct_i: elec_levels = spc_dct_i['elec_levels'] else: elec_levels = [[0., spc_info[2]]] return elec_levels
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def check_for_factor(base, factor): """ This function should test if the factor is a factor of base. Factors are numbers you can multiply together to get another number. Return true if it is a factor or false if it is not. :param base: :param factor: :return: """ retur...
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def has_user_run_commands() -> bool: """has_user_run_commands() -> bool (internal) """ return bool()
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def IntersectionMatrixColorMap(matrix_data): """ Function to plot and save a colormap for visualisation of intersection matrix Parameter -------- matrix_data: list of lists, a square matrix of interstions Returns: None """ # set figure size fig = plt.figure(figsize=(12, 12)) ...
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def has_access(user, users): """A list of users should look as follows: ['!deny', 'user1', 'user2'] This means that user1 and user2 have deny access. If we have something longer such as ['!deny', 'user1', '!allow', 'user2'] then user2 has access but user1 does not have access. If no keywords are fou...
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def log_suppress_or_reraise(*exceptions, logger=None, prelog=None, **kwargs): """Context manager or decorator - logs, raises and can suppress exceptions. Convenince function to support older implementation. """ return LogSuppressOrReraise(*exceptions, logger=logger, prelog=prelog, **kwargs)
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def foo_endpoint(): """ just some endpoint """ logger = getLogger("foo_endpoint") logger.extra["some_extra"] = "1" logger.info("some message logged in foo_endpoint") return flask.jsonify({'bar': "BAR"})
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def check_absolute_continuity_policies_strict(P: np.ndarray, pi: np.ndarray, phi: np.ndarray) -> bool: """ Strict check of absolute continuity of two policies given an environment Used when computing bar I. Assume pi is deterministic, of dimension SxA """ dim_state, dim_action = P.shape[0], P.shape[...
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def calc_M_by_M0(t, t0, M0, period): """ Computes the mean anomaly as a function of a t, a mean anomaly (M0) at time t0 and the period. Args: t : time of the computation t0: a point in time where Mean anomaly is knwon M0: the mean anomaly in radians at t0 period : peri...
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from datetime import datetime def timekeeper_prop(dt: datetime = None, state: str = 'init', enabled: int = 1, round_counter: int = 1, test_mode: bool = True, view_score_mode: bool = True, log_to_datastore: bool = False) -> dict: """ property of timekeeper (kind: 'clock') Parameters ---------- ...
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def _default_initializer(name, shape, dtype): """The default initializer for variables.""" # pylint: disable=protected-access store = variable_scope._get_default_variable_store() initializer = store._get_default_initializer(name, shape=shape, dtype=dtype) # pylint: enable=protected-access return initializer...
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def batchnorm_backward_alt(dout, cache): """ 可选的BN反向传播 """ dx, dgamma, dbeta = None, None, None mu, xmu, carre, var, sqrtvar, invvar, va2, va3, gamma, beta, x, bn_param = cache eps = bn_param.get('eps', 1e-5) N, D = dout.shape dbeta = np.sum(dout, axis=0) dgamma = np.sum((x - mu) * (...
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def midpnt(img): """ compute the midpoint pixel of an image The pixel coordinates in dimension (``dim``) are computed as :if ``dim`` is odd: ``(dim - 1)/2`` :if ``dim`` is even: ``dim/2`` :param img: pattern :return: midpoint pixel in image coordinates """ shape = np.asarray(i...
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def simulate_ens(setup,N=1,desc='Simul',squeeze=True): """Generate a simulation on a ensemble (default=1) if squeeze is True and N==1, the output is squeeze on the ens dim""" f,h,chrono,X0 = setup.f, setup.h, setup.t, setup.X0 # Init xx = zeros((chrono.K+1,N,f.m)) xx[0] = X0.sample(N) #Loop for k,k...
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def run_and_verify_svnlook2(expected_stdout, expected_stderr, expected_exit, *varargs): """Run svnlook command and check its output and exit code.""" exit_code, out, err = main.run_svnlook(*varargs) verify.verify_outputs("Unexpected output", out, err, expected_...
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from typing import List def compute_binned_conditional_probability(joint_distribution: np.array, target_idx: int, non_bin_idx: List, bin_idx: List, ...
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import re def _get_variant_num(file_path): # type: (str) -> int """Returns the number of variants for a file. It assumes the file name suffix has the count. Raises: ValueError: if the file name is not formatted as `count_[COUNT]`. """ _, file_name = filesystems.FileSystems.split(file_path) if not ...
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from keras.models import Sequential from keras.layers import Dense def tail_model(nb_feature): """ tail model has the structure 600,300,150,60 nodes :param nb_feature: :return: """ # construct the model model = Sequential() model.add(Dense(600, input_dim=nb_feature, activation='relu'...
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def return_json_response(): """Return json response sample""" return jsonify({'this is': 'sample'})
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def is_user_in_group(user, group): """ Check whether the user belongs to the group Args: user(str): user name/id group(class:Group): group to check user membership against Returns: - True if user is in the group, False otherwise """ if isinstance(group, Group) == Fals...
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def _generate_variable_state(batch_size_tensor, state_size, dtype): """Generate a variable tensor with shape [batch_size, state_size].""" def create_variable(unnested_state_size): flat_dims = tensor_shape.as_shape(unnested_state_size).as_list() init_state_size = [batch_size_tensor] + flat_dims return tf...
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def by_cities(sdat): """ this function determines from how often people fly from every city :return: int[from moscow; from st pet.] """ borm = sdat.groupby(["Город вылета"]).size() cities = [] for i in borm: cities.append(i) return cities
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def base() -> str: """ Handles redirection to other pages. :return: A redirect to the upload page. """ return redirect("upload")
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def drop_points(surf, array, low=-np.inf, upp=np.inf): """Remove surface points whose values fall within the threshold. Cells corresponding to these points are also removed. Parameters ---------- surf : vtkPolyData or BSPolyData Input surface. array : str or 1D ndarray Array us...
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def isVowel(letter): """ isVowel checks whether a given letter is a vowel. For purposes of this function, treat y as always a vowel, w never as a vowel. letter should be a string containing a single letter return "error" if the value of the parameter is not a single letter string, return True, if the...
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def d_xi(beta, K): """ First derivative of xi(beta). xi(beta) is the entropy of the system when no data has been observed. d_xi is the prior for the nsb estimator """ return K * mp.psi(1, K * beta + 1.) - mp.psi(1, beta + 1.)
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def fn_winkler(weight_jaro, pre_matches, pre_scale): """ Scale the standard Jaro metric by 'pre_scale' units per 'pre_matches'. Note the warning in the docstring of jaro_winkler() regarding the scale. """ weight_jaro += pre_matches * pre_scale * (1.0 - weight_jaro) assert weight_jaro <= 1.0 ...
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from typing import Dict from typing import Tuple from typing import Set from textwrap import dedent def get_reactome(*, client: Neo4jClient) -> Dict[Tuple[str, str], Set[str]]: """Get Reactome gene sets. Parameters ---------- client : The Neo4j client. Returns ------- : A...
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def getTestSuite(select="unit"): """ Get test suite select is one of the following: "unit" return suite of unit tests only "component" return suite of unit and component tests "all" return suite of unit, component and integration tests "pending" ...
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def as_rest_table(data, full=False): """ Originally from ActiveState recipes, copy/pasted from GitHub where it is listed with an MIT license. https://github.com/ActiveState/code/tree/master/recipes/Python/579054_Generate_Sphinx_table """ data = data if data else [["No Data"]] table = [] ...
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def isCCW(ring): """ Determines if a LinearRing is oriented counter-clockwise or not """ area = 0.0 for i in range(0,len(ring)-1): p1 = ring[i] p2 = ring[i+1] area += (p1[1] * p2[0]) - (p1[0] * p2[1]) if area > 0: return False else: return True
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from typing import Callable def check(predicate: Callable) -> Callable: """A decorator to add a check to a server command Args: predicate: The check that should be run Returns: A decorator function that will add the check to the command """ def decorator(cmd: ServerCommand): ...
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def visualization_grid(subplot_function, pass_ax_or_grid="ax", *args, **kwargs): """Decorator to create a grid for graphs and plot on it. Graphs will be printed by the subplot function to which the decorator is applied. Parameters ---------- pass_ax_or_grid: str Either 'ax' or 'grid'. ...
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import socket import pickle def recv_frame(sock, timeout=None): """ Receive a frame from the socket. Reads the size of frame first followed by the actual data. frame is then de-serialized and returned as an instance of class frame. Arguments ---------- sock :- The socket to read fr...
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def draw_framelinered(frame,height,width): #Better to pass Color parameter """ Draw alert red frame on video """ # Draw line top left and right cv2.line(frame, (0, 0), (0,int(height/10)), (0,0,255),10) cv2.line(frame, (0, 0), (int(height/10),0), (0,0,255),10) cv2.line(frame, (width, 0), (wid...
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def get_grant_key(grant_statement): """ Create the key from the grant statement. The key will be used as the dictionnary key. :param grant_statement: The grant statement :return: The key """ splitted_statement = grant_statement.split() grant_privilege = splitted_statement[1] if "."...
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def get_scenes_from_cuts(cut_list, base_timecode, num_frames, start_frame=0): # type: List[FrameTimecode], FrameTimecode, Union[int, FrameTimecode], # Optional[Union[int, FrameTimecode]] -> List[Tuple[FrameTimecode, FrameTimecode]] """ Returns a list of tuples of start/end FrameTimecodes for each scen...
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def openfield_pv_merra_ryberg2019(placements, merra_path, global_solar_atlas_ghi_path, module="WINAICO WSx-240P6", elev=300, tracking="fixed", inverter=None, inverter_kwargs={}, tracking_args={}, output_netcdf_path=None, output_variables=None): """ openfield_pv_merra_ryberg2019(placements, merra_path, global_s...
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