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from django.urls import path, include from rest_framework.routers import DefaultRouter from formulaire import views router = DefaultRouter() router.register('formulaires', views.FormulaireViewSet) router.register('entreprises', views.EntrepriseViewSet) router.register('operateurs', views.OperateurViewSet) router.reg...
app/formulaire/urls.py
from django.urls import path, include from rest_framework.routers import DefaultRouter from formulaire import views router = DefaultRouter() router.register('formulaires', views.FormulaireViewSet) router.register('entreprises', views.EntrepriseViewSet) router.register('operateurs', views.OperateurViewSet) router.reg...
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## Zemberek: Document Correction Example # Documentation: https://github.com/ahmetaa/zemberek-nlp/tree/master/normalization # Java Code Example: https://github.com/ahmetaa/zemberek-nlp/blob/master/examples/src/main/java/zemberek/examples/normalization/CorrectDocument.java import jpype as jp # Relative path to Zember...
py-work/pipeline/zemberek/examples/normalization/document_correction.py
## Zemberek: Document Correction Example # Documentation: https://github.com/ahmetaa/zemberek-nlp/tree/master/normalization # Java Code Example: https://github.com/ahmetaa/zemberek-nlp/blob/master/examples/src/main/java/zemberek/examples/normalization/CorrectDocument.java import jpype as jp # Relative path to Zember...
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# For example, # 123 -> "One Hundred Twenty Three" # 12345 -> "Twelve Thousand Three Hundred Forty Five" # 1234567 -> "One Million Two Hundred Thirty Four Thousand Five Hundred Sixty Seven" class Solution(object): def __init__(self): ### init_1 # self.lessThan20 = ["","One","Two","Three","Fo...
source-code/Integer to English Words 273.py
# For example, # 123 -> "One Hundred Twenty Three" # 12345 -> "Twelve Thousand Three Hundred Forty Five" # 1234567 -> "One Million Two Hundred Thirty Four Thousand Five Hundred Sixty Seven" class Solution(object): def __init__(self): ### init_1 # self.lessThan20 = ["","One","Two","Three","Fo...
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from pymongo import MongoClient, ASCENDING import time import random class MongoTest: def __init__(self, collection: str, recreate: bool): mongo_cli = MongoClient('127.0.0.1', 27017) self.db = mongo_cli.test if recreate: self.db[collection].drop() def test_inserts_efficie...
efficiency-tests/mongodb_test.py
from pymongo import MongoClient, ASCENDING import time import random class MongoTest: def __init__(self, collection: str, recreate: bool): mongo_cli = MongoClient('127.0.0.1', 27017) self.db = mongo_cli.test if recreate: self.db[collection].drop() def test_inserts_efficie...
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# ======= # Imports # ======= import numpy # ======================== # Generate Basis Functions # ======================== def generate_basis_functions(n, m): """ Generates a sample design matrix (also called basis functions). :param n: Nmber of rows of the design matrix. :type n: int :para...
examples/_utilities/data_utilities.py
# ======= # Imports # ======= import numpy # ======================== # Generate Basis Functions # ======================== def generate_basis_functions(n, m): """ Generates a sample design matrix (also called basis functions). :param n: Nmber of rows of the design matrix. :type n: int :para...
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import urwid from .line_base import LineBase class LineProgress(LineBase): def __init__( self, loop, caption, initial_value = 0, max_value = 100, caption_style = "highlight_color", value_style = "normal_color", completed_style = "completed_progre...
termapp/line_progress.py
import urwid from .line_base import LineBase class LineProgress(LineBase): def __init__( self, loop, caption, initial_value = 0, max_value = 100, caption_style = "highlight_color", value_style = "normal_color", completed_style = "completed_progre...
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from printer import * import os import time import glob import threading import subprocess class SoundModuleSimulatorWrapper: def __init__(self, parent): self.parent = parent self.sms_thread = None self.sms_proc = None self.mp_thread = None self.mp_proc = None self.abort_signal = False self.exit_progra...
plugin-builder-tool/soundModuleSimulatorWrapper.py
from printer import * import os import time import glob import threading import subprocess class SoundModuleSimulatorWrapper: def __init__(self, parent): self.parent = parent self.sms_thread = None self.sms_proc = None self.mp_thread = None self.mp_proc = None self.abort_signal = False self.exit_progra...
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#! This file models a cylinder that is fixed at one end while the #! second end has a specified displacement of 0.02 in the x direction #! (this boundary condition is named PerturbedSurface). #! The output is the displacement for each node, saved by default to #! simple_out.vtk. The material is linear elastic. from s...
examples/linear_elasticity/linear_elastic_up.py
#! This file models a cylinder that is fixed at one end while the #! second end has a specified displacement of 0.02 in the x direction #! (this boundary condition is named PerturbedSurface). #! The output is the displacement for each node, saved by default to #! simple_out.vtk. The material is linear elastic. from s...
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import json import dml import prov.model import datetime import pandas as pd import uuid class mergedList(dml.Algorithm): contributor = 'ashwini_gdukuray_justini_utdesai' reads = ['ashwini_gdukuray_justini_utdesai.masterList', 'ashwini_gdukuray_justini_utdesai.nonMBEmasterList'] writes = ['ashwini_gdukura...
mergedList.py
import json import dml import prov.model import datetime import pandas as pd import uuid class mergedList(dml.Algorithm): contributor = 'ashwini_gdukuray_justini_utdesai' reads = ['ashwini_gdukuray_justini_utdesai.masterList', 'ashwini_gdukuray_justini_utdesai.nonMBEmasterList'] writes = ['ashwini_gdukura...
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from __future__ import annotations from dataclasses import dataclass from typing import Any, Dict, List import torch from nuplan.planning.training.preprocessing.features.abstract_model_feature import ( AbstractModelFeature, FeatureDataType, to_tensor, ) @dataclass class AgentsTrajectories(AbstractModel...
nuplan/planning/training/preprocessing/features/agents_trajectories.py
from __future__ import annotations from dataclasses import dataclass from typing import Any, Dict, List import torch from nuplan.planning.training.preprocessing.features.abstract_model_feature import ( AbstractModelFeature, FeatureDataType, to_tensor, ) @dataclass class AgentsTrajectories(AbstractModel...
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import numpy as np from scipy import signal from skimage.transform import resize from scipy.ndimage import gaussian_filter def concat_zpad(arr1, arr2): diff_dims = np.array(arr1.shape) - np.array(arr2.shape) for i in range(1, diff_dims): pad_size = np.zeros(size=(arr1.ndim, 2)) pad_size[i, 0]...
data/transforms/mrirandphasebig.py
import numpy as np from scipy import signal from skimage.transform import resize from scipy.ndimage import gaussian_filter def concat_zpad(arr1, arr2): diff_dims = np.array(arr1.shape) - np.array(arr2.shape) for i in range(1, diff_dims): pad_size = np.zeros(size=(arr1.ndim, 2)) pad_size[i, 0]...
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from django.contrib.auth import get_user_model from django import forms from django.utils.translation import ugettext_lazy as _ from django.conf import settings from timtec.settings import ACCOUNT_REQUIRED_FIELDS as fields from accounts.models import UserSocialAccount User = get_user_model() class BaseProfileEditFo...
accounts/forms.py
from django.contrib.auth import get_user_model from django import forms from django.utils.translation import ugettext_lazy as _ from django.conf import settings from timtec.settings import ACCOUNT_REQUIRED_FIELDS as fields from accounts.models import UserSocialAccount User = get_user_model() class BaseProfileEditFo...
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import sys import openpyxl import argparse import pandas as pd import numpy as np # script to covert extended sample sheet to standard illumina's sheet # template of the extended_sample_sheet.xlsx can be found here: # solo-in-drops/assets/extended_sample_sheet_template.xlsx def convert_to_samplesheet(in_file, out_fil...
bin/convert_to_samplesheet.py
import sys import openpyxl import argparse import pandas as pd import numpy as np # script to covert extended sample sheet to standard illumina's sheet # template of the extended_sample_sheet.xlsx can be found here: # solo-in-drops/assets/extended_sample_sheet_template.xlsx def convert_to_samplesheet(in_file, out_fil...
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import json import mock from tabulate import tabulate import databricks_cli.jobs.cli as cli from databricks_cli.utils import pretty_format from tests.utils import get_callback CREATE_RETURN = {'job_id': 5} CREATE_JSON = '{"name": "test_job"}' def test_create_cli_json(): with mock.patch('databricks_cli.jobs.cli...
tests/jobs/test_cli.py
import json import mock from tabulate import tabulate import databricks_cli.jobs.cli as cli from databricks_cli.utils import pretty_format from tests.utils import get_callback CREATE_RETURN = {'job_id': 5} CREATE_JSON = '{"name": "test_job"}' def test_create_cli_json(): with mock.patch('databricks_cli.jobs.cli...
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from random import choice, randint, random from cell import * class Board(): def __init__(self, can, sample = []): self.can = can self.grid = [] for i in range(4): self.grid.append([]) for j in range(4): self.grid[i].append(0) if not sampl...
board.py
from random import choice, randint, random from cell import * class Board(): def __init__(self, can, sample = []): self.can = can self.grid = [] for i in range(4): self.grid.append([]) for j in range(4): self.grid[i].append(0) if not sampl...
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import logging import numpy from orion.algo.base import BaseAlgorithm from orion.algo.space import check_random_state from skopt import Optimizer, Space from skopt.learning import GaussianProcessRegressor from skopt.space import Real log = logging.getLogger(__name__) def orion_space_to_skopt_space(orion_space): ...
src/orion/algo/skopt/bayes.py
import logging import numpy from orion.algo.base import BaseAlgorithm from orion.algo.space import check_random_state from skopt import Optimizer, Space from skopt.learning import GaussianProcessRegressor from skopt.space import Real log = logging.getLogger(__name__) def orion_space_to_skopt_space(orion_space): ...
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import sys, os, string, math, arcpy, traceback # Allow output file to overwrite any existing file of the same name arcpy.env.overwriteOutput = True try: # Request user inputs, name variables nameOfInputShapefile1 = arcpy.GetParameterAsText(0) yearField1 = arcpy.GetParameterAsText(1) year...
nc-pt2.py
import sys, os, string, math, arcpy, traceback # Allow output file to overwrite any existing file of the same name arcpy.env.overwriteOutput = True try: # Request user inputs, name variables nameOfInputShapefile1 = arcpy.GetParameterAsText(0) yearField1 = arcpy.GetParameterAsText(1) year...
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import unittest from day23 import Computer class TestComputer(unittest.TestCase): def setUp(self): self.computer = Computer() def test_has_registers(self): self.assertEqual(self.computer.a, 0) self.assertEqual(self.computer.b, 0) def test_has_instruction_pointer(self): ...
day23/test.py
import unittest from day23 import Computer class TestComputer(unittest.TestCase): def setUp(self): self.computer = Computer() def test_has_registers(self): self.assertEqual(self.computer.a, 0) self.assertEqual(self.computer.b, 0) def test_has_instruction_pointer(self): ...
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import logging from datetime import timedelta import homeassistant.helpers.config_validation as cv import voluptuous as vol from homeassistant.components.sensor import PLATFORM_SCHEMA from homeassistant.const import ( CONF_NAME, CONF_DEVICES, CONF_ADDRESS, CONF_TYPE, CONF_UNIT_OF_MEASUREMENT, ...
home-assistant-plugin/custom_components/buspro/sensor.py
import logging from datetime import timedelta import homeassistant.helpers.config_validation as cv import voluptuous as vol from homeassistant.components.sensor import PLATFORM_SCHEMA from homeassistant.const import ( CONF_NAME, CONF_DEVICES, CONF_ADDRESS, CONF_TYPE, CONF_UNIT_OF_MEASUREMENT, ...
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import colorama from colorama import init from colorama import Fore, Back, Style colorama.init() def Apache(): print Fore.GREEN + "CVE-2013-2187" print Fore.CYAN + "Apache : Archiva 1.3 to Archiva 1.3.6" print "http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2013-2187" print "" print Fore.GREE...
cve.py
import colorama from colorama import init from colorama import Fore, Back, Style colorama.init() def Apache(): print Fore.GREEN + "CVE-2013-2187" print Fore.CYAN + "Apache : Archiva 1.3 to Archiva 1.3.6" print "http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2013-2187" print "" print Fore.GREE...
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import numpy as np import torch.utils.data class Dataset(torch.utils.data.Dataset): def __init__(self, args, set_): self.hw = args.hw self.set_ = set_ self.select_features = getattr(args, "select_features", None) self.item_list = getattr(args, "item_list", []) self.getfunc_...
datasets/dataset.py
import numpy as np import torch.utils.data class Dataset(torch.utils.data.Dataset): def __init__(self, args, set_): self.hw = args.hw self.set_ = set_ self.select_features = getattr(args, "select_features", None) self.item_list = getattr(args, "item_list", []) self.getfunc_...
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import locale import os import re import urllib.request import urllib.parse from datetime import datetime from tkinter import Tk, Menu, messagebox, END, Toplevel, Frame, TOP, Label, LEFT, Entry, Scrollbar, Y, RIGHT, Listbox, \ BOTTOM, BOTH, Spinbox from bs4 import BeautifulSoup from whoosh.fields import Schema, TE...
PracticaEvaluableWhoosh/practica-fixed-fecha-entry.py
import locale import os import re import urllib.request import urllib.parse from datetime import datetime from tkinter import Tk, Menu, messagebox, END, Toplevel, Frame, TOP, Label, LEFT, Entry, Scrollbar, Y, RIGHT, Listbox, \ BOTTOM, BOTH, Spinbox from bs4 import BeautifulSoup from whoosh.fields import Schema, TE...
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import numpy as np import numpy.linalg as la import tensorflow as tf import sys, os import time import utils.train class LISTA_base (object): """ Implementation of deep neural network model. """ def __init__ (self): pass def setup_layers (self): pass def...
models/LISTA_base.py
import numpy as np import numpy.linalg as la import tensorflow as tf import sys, os import time import utils.train class LISTA_base (object): """ Implementation of deep neural network model. """ def __init__ (self): pass def setup_layers (self): pass def...
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import itertools from collections import OrderedDict from django.conf import settings import mock from nose.tools import eq_, ok_ import mkt.site.tests from mkt.constants.features import (APP_FEATURES, FeaturesBitField, FeatureProfile) MOCK_APP_FEATURES_LIMIT = 45 MOCK_APP_FEATU...
mkt/constants/tests/test_features.py
import itertools from collections import OrderedDict from django.conf import settings import mock from nose.tools import eq_, ok_ import mkt.site.tests from mkt.constants.features import (APP_FEATURES, FeaturesBitField, FeatureProfile) MOCK_APP_FEATURES_LIMIT = 45 MOCK_APP_FEATU...
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from passwordLoker import User,Credentials import unittest class TestPassword(unittest.TestCase): def setUp(self): self.new_user = User("<NAME>","JG","5678") self.new_credentials = Credentials("facebook","JG","5678") def tearDown(self): User.users_list = [] Credentials.creden...
passwordLockerTest.py
from passwordLoker import User,Credentials import unittest class TestPassword(unittest.TestCase): def setUp(self): self.new_user = User("<NAME>","JG","5678") self.new_credentials = Credentials("facebook","JG","5678") def tearDown(self): User.users_list = [] Credentials.creden...
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import datetime from datetime import date as std_date from enum import Enum, auto from typing import Dict, Optional from django.contrib.auth import get_user_model from django.db import models from django.db.models import F from ctrack.caf.models import CAF from ctrack.organisations.models import Person from ctrack.us...
ctrack/register/models.py
import datetime from datetime import date as std_date from enum import Enum, auto from typing import Dict, Optional from django.contrib.auth import get_user_model from django.db import models from django.db.models import F from ctrack.caf.models import CAF from ctrack.organisations.models import Person from ctrack.us...
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import sys import numpy as np import pandas as pd from sklearn.preprocessing import StandardScaler from sklearn.decomposition import PCA from sklearn.model_selection import GridSearchCV from sklearn.linear_model import Ridge # Define list of states for loop state2fips = {'AL': 1, 'AK': 2, '...
archive/CODE/back_end/feature_analysis_pipeline/feature_pipeline.py
import sys import numpy as np import pandas as pd from sklearn.preprocessing import StandardScaler from sklearn.decomposition import PCA from sklearn.model_selection import GridSearchCV from sklearn.linear_model import Ridge # Define list of states for loop state2fips = {'AL': 1, 'AK': 2, '...
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from __future__ import absolute_import import pytest import schematec.schema import schematec.converters as converters import schematec.validators as validators import schematec.exc as exc def test_empty_schema_with_empty_value(): schema = schematec.schema.array() assert schema([]) == [] def test_empty_sc...
tests/test_schema_array.py
from __future__ import absolute_import import pytest import schematec.schema import schematec.converters as converters import schematec.validators as validators import schematec.exc as exc def test_empty_schema_with_empty_value(): schema = schematec.schema.array() assert schema([]) == [] def test_empty_sc...
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from __future__ import absolute_import import argparse import os import unittest import pytest from artman.cli import support class ParseGitHubCredentialsTests(unittest.TestCase): def test_read_from_config_file(self): user_config = {'username': 'foo', 'token': 'bar'} flags = argparse.Namespace(...
test/cli/test_support.py
from __future__ import absolute_import import argparse import os import unittest import pytest from artman.cli import support class ParseGitHubCredentialsTests(unittest.TestCase): def test_read_from_config_file(self): user_config = {'username': 'foo', 'token': 'bar'} flags = argparse.Namespace(...
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import numbers import datetime from operator import attrgetter import os import dateutil.parser from lxml import etree import libtaxii.messages_11 as tm11 from .common import TAXIIBase from .validation import (do_check, uri_regex, targeting_expression_regex) from .constants import * import six class CapabilityModu...
libtaxii/taxii_default_query.py
import numbers import datetime from operator import attrgetter import os import dateutil.parser from lxml import etree import libtaxii.messages_11 as tm11 from .common import TAXIIBase from .validation import (do_check, uri_regex, targeting_expression_regex) from .constants import * import six class CapabilityModu...
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print ("Importing...") import alpaca_trade_api as tradeapi import time from Basics import ConvertJson, stockCalc from config import * import datetime if input('Override Market Wait?') == 'n': print("Waiting for market open...") while True: now = datetime.datetime.now() current_time = int(now.strftime("%H%...
Version-1/main.py
print ("Importing...") import alpaca_trade_api as tradeapi import time from Basics import ConvertJson, stockCalc from config import * import datetime if input('Override Market Wait?') == 'n': print("Waiting for market open...") while True: now = datetime.datetime.now() current_time = int(now.strftime("%H%...
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from proxmoxer import ProxmoxAPI import json # IMPORTANT: Target Machine needs to have a package named qemu-guest-agent. # After installing this package, Enable agent on web interface (Options > Qemu Guest Agent) with open('config.json') as json_file: data = json.load(json_file) # Give kvm input 0 for first node...
agent.py
from proxmoxer import ProxmoxAPI import json # IMPORTANT: Target Machine needs to have a package named qemu-guest-agent. # After installing this package, Enable agent on web interface (Options > Qemu Guest Agent) with open('config.json') as json_file: data = json.load(json_file) # Give kvm input 0 for first node...
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from twisted.trial.unittest import TestCase from axiom.store import Store from axiom.item import Item from axiom.attributes import integer, compoundIndex from axiom.test.util import QueryCounter class SingleColumnSortHelper(Item): mainColumn = integer(indexed=True) other = integer() compoundIndex(mainCo...
axiom/test/test_paginate.py
from twisted.trial.unittest import TestCase from axiom.store import Store from axiom.item import Item from axiom.attributes import integer, compoundIndex from axiom.test.util import QueryCounter class SingleColumnSortHelper(Item): mainColumn = integer(indexed=True) other = integer() compoundIndex(mainCo...
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from datetime import datetime import pytest from astranslate import PBbool, PBdate, PBdict, PBlist, PBnumber, PBstring def test_PBBool_ToApplescript_GivenBoolean_ReturnsBooleanString(): assert PBbool.to_applescript(True) == "True" def test_PBBool_ToApplescript_GivenNumber_ReturnsNumberAsString(): assert PBbool....
pastybridge/test/test_pastybridge.py
from datetime import datetime import pytest from astranslate import PBbool, PBdate, PBdict, PBlist, PBnumber, PBstring def test_PBBool_ToApplescript_GivenBoolean_ReturnsBooleanString(): assert PBbool.to_applescript(True) == "True" def test_PBBool_ToApplescript_GivenNumber_ReturnsNumberAsString(): assert PBbool....
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import numpy as np class Item(object): def __init__(self, pos_x, pos_y): self.x = pos_x self.y = pos_y class MovableItem(Item): def __init__(self, pos_x, pos_y): super().__init__(pos_x, pos_y) self.initial_x = pos_x self.initial_y = pos_y def move(self, x, y):...
env/items.py
import numpy as np class Item(object): def __init__(self, pos_x, pos_y): self.x = pos_x self.y = pos_y class MovableItem(Item): def __init__(self, pos_x, pos_y): super().__init__(pos_x, pos_y) self.initial_x = pos_x self.initial_y = pos_y def move(self, x, y):...
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import pytest import os # Keep import for _CONFIGPATH - otherwise get_path fails because cimpyorm/__init__.py locals aren't present from cimpyorm.auxiliary import log, get_path @pytest.fixture(scope="session") def full_grid(): try: path = os.path.join(get_path("DATASETROOT"), "FullGrid") except KeyE...
cimpyorm/Test/conftest.py
import pytest import os # Keep import for _CONFIGPATH - otherwise get_path fails because cimpyorm/__init__.py locals aren't present from cimpyorm.auxiliary import log, get_path @pytest.fixture(scope="session") def full_grid(): try: path = os.path.join(get_path("DATASETROOT"), "FullGrid") except KeyE...
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import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from . import _utilities __all__ = ['ServerNetworkArgs', 'ServerNetwork'] @pulumi.input_type class ServerNetworkArgs: def __init__(__self__, *, server_id: pulumi.Input[int], ...
sdk/python/pulumi_hcloud/server_network.py
import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from . import _utilities __all__ = ['ServerNetworkArgs', 'ServerNetwork'] @pulumi.input_type class ServerNetworkArgs: def __init__(__self__, *, server_id: pulumi.Input[int], ...
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import cplex from docplex.mp.callbacks.cb_mixin import ConstraintCallbackMixin from docplex.mp.model import Model as _Model import numpy as np class Model(_Model): """Convenience class to add Numpy variable arrays to docplex.mp.""" def _var_array(self, vartype, shape=(), *args, **kwargs): size = np.p...
dorado/scheduling/schedulers/__init__.py
import cplex from docplex.mp.callbacks.cb_mixin import ConstraintCallbackMixin from docplex.mp.model import Model as _Model import numpy as np class Model(_Model): """Convenience class to add Numpy variable arrays to docplex.mp.""" def _var_array(self, vartype, shape=(), *args, **kwargs): size = np.p...
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from django.conf import settings from django.db import migrations, models import django.db.models.deletion import django.utils.timezone import functools import organizations.fields import purpleserver.core.models.base class Migration(migrations.Migration): initial = True dependencies = [ ('graph', ...
apps/orgs/purpleserver/orgs/migrations/0001_initial.py
from django.conf import settings from django.db import migrations, models import django.db.models.deletion import django.utils.timezone import functools import organizations.fields import purpleserver.core.models.base class Migration(migrations.Migration): initial = True dependencies = [ ('graph', ...
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from .custom_exceptions import GeneralPogoException from .location import Location from .pgoapi import pgoapi from .session import PogoSession from .util import get_encryption_lib_path # Callbacks and Constants API_URL = 'https://pgorelease.nianticlabs.com/plfe/rpc' LOGIN_URL = 'https://sso.pokemon.com/sso/login?servic...
pogo/pogoBot/pogoAPI/api.py
from .custom_exceptions import GeneralPogoException from .location import Location from .pgoapi import pgoapi from .session import PogoSession from .util import get_encryption_lib_path # Callbacks and Constants API_URL = 'https://pgorelease.nianticlabs.com/plfe/rpc' LOGIN_URL = 'https://sso.pokemon.com/sso/login?servic...
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import os import random import shutil import unittest import numpy from ont_fast5_api.fast5_file import Fast5File from ont_fast5_api.fast5_read import Fast5Read from ont_fast5_api.multi_fast5 import MultiFast5File hexdigits = "0123456789abcdef" save_path = os.path.join(os.path.dirname(__file__), 'tmp') class TestM...
submodules/ont_fast5_api/test/test_multi_fast5.py
import os import random import shutil import unittest import numpy from ont_fast5_api.fast5_file import Fast5File from ont_fast5_api.fast5_read import Fast5Read from ont_fast5_api.multi_fast5 import MultiFast5File hexdigits = "0123456789abcdef" save_path = os.path.join(os.path.dirname(__file__), 'tmp') class TestM...
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import config import datapane as dp import logging import pandas as pd import plotly.express as px import plotly.figure_factory as ff import plotly.graph_objs as go import streamlit as st import utils logging.basicConfig(format='%(asctime)s - %(name)s - %(levelname)s - %(message)s', level=logging.INFO) logger = loggi...
traffic_density_hourly.py
import config import datapane as dp import logging import pandas as pd import plotly.express as px import plotly.figure_factory as ff import plotly.graph_objs as go import streamlit as st import utils logging.basicConfig(format='%(asctime)s - %(name)s - %(levelname)s - %(message)s', level=logging.INFO) logger = loggi...
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import pytest from connect.client.models import ( Action, AsyncAction, AsyncCollection, AsyncNS, AsyncResource, AsyncResourceSet, Collection, NS, Resource, ResourceSet, ) @pytest.fixture def async_client_mock(async_mocker): def _async_client_mock(methods=None): met...
tests/fixtures/client_models.py
import pytest from connect.client.models import ( Action, AsyncAction, AsyncCollection, AsyncNS, AsyncResource, AsyncResourceSet, Collection, NS, Resource, ResourceSet, ) @pytest.fixture def async_client_mock(async_mocker): def _async_client_mock(methods=None): met...
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from .... pyaz_utils import _call_az def set(account_name, container_name, tags, allow_protected_append_writes_all=None, resource_group=None): ''' Set legal hold tags. Required Parameters: - account_name -- Storage account name. Related environment variable: AZURE_STORAGE_ACCOUNT. - container_name...
pyaz/storage/container/legal_hold/__init__.py
from .... pyaz_utils import _call_az def set(account_name, container_name, tags, allow_protected_append_writes_all=None, resource_group=None): ''' Set legal hold tags. Required Parameters: - account_name -- Storage account name. Related environment variable: AZURE_STORAGE_ACCOUNT. - container_name...
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from __future__ import absolute_import, division, print_function __metaclass__ = type from ansible_collections.willguibr.zpacloud.plugins.module_utils.zpa_client import ( ZPAClientHelper, delete_none, ) class PostureProfileService: def __init__(self, module, customer_id): self.module = module ...
plugins/module_utils/zpa_posture_profile.py
from __future__ import absolute_import, division, print_function __metaclass__ = type from ansible_collections.willguibr.zpacloud.plugins.module_utils.zpa_client import ( ZPAClientHelper, delete_none, ) class PostureProfileService: def __init__(self, module, customer_id): self.module = module ...
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class FailedTest: def __init__( self, job_name: str, build_number: int, name: str, traceback: str = '', timestamp: int = 0 ): self.job_name = job_name self.build_number = build_number self.name = name self.tr...
jenkins_flaky/test_report.py
class FailedTest: def __init__( self, job_name: str, build_number: int, name: str, traceback: str = '', timestamp: int = 0 ): self.job_name = job_name self.build_number = build_number self.name = name self.tr...
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from hkube_python_wrapper.communication.streaming.StreamingManager import StreamingManager from hkube_python_wrapper.communication.streaming.MessageListener import MessageListener from hkube_python_wrapper.communication.streaming.MessageProducer import MessageProducer import time parsedFlows = { 'analyze': [{'sour...
tests/test_streaming.py
from hkube_python_wrapper.communication.streaming.StreamingManager import StreamingManager from hkube_python_wrapper.communication.streaming.MessageListener import MessageListener from hkube_python_wrapper.communication.streaming.MessageProducer import MessageProducer import time parsedFlows = { 'analyze': [{'sour...
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from __future__ import print_function import argparse import claudio import logging import matplotlib import numpy as np import os import pandas as pd import pprint import sys import time import matplotlib.pyplot as plt import minst.logger import minst.signal as S import minst.utils as utils matplotlib.use("TkAGG") ...
scripts/annotate.py
from __future__ import print_function import argparse import claudio import logging import matplotlib import numpy as np import os import pandas as pd import pprint import sys import time import matplotlib.pyplot as plt import minst.logger import minst.signal as S import minst.utils as utils matplotlib.use("TkAGG") ...
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rule_map = { "page":{ "/": "index", '/new': 'new', '/piece/(\d+)': 'piece', '/people/(\d+)': 'people', '/login': 'login', '/logout': 'logout', '/tools': 'tools', '/about': 'about', '/app': 'app', '/bookmarklet': 'bookmarklet', '...
config/routes.py
rule_map = { "page":{ "/": "index", '/new': 'new', '/piece/(\d+)': 'piece', '/people/(\d+)': 'people', '/login': 'login', '/logout': 'logout', '/tools': 'tools', '/about': 'about', '/app': 'app', '/bookmarklet': 'bookmarklet', '...
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import mock from nose.tools import eq_ import test_utils from ..client import (Client, ClientMock, ClientProxy, dict_to_mock, get_client, response_to_dict) from ..constants import OK, ACCESS_DENIED from ..errors import AuthError, BangoError, ProxyError import samples class TestClient(test_util...
lib/bango/tests/test_client.py
import mock from nose.tools import eq_ import test_utils from ..client import (Client, ClientMock, ClientProxy, dict_to_mock, get_client, response_to_dict) from ..constants import OK, ACCESS_DENIED from ..errors import AuthError, BangoError, ProxyError import samples class TestClient(test_util...
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import os import re import sys import json import time import codecs import base64 import asyncio import aiohttp import chardet import aiofiles import binascii from http import cookiejar from printer import Printer from Crypto.Cipher import AES from contextlib import closing MAX_SEMAPHORE = asyncio.Semaphore(10) cl...
netease.py
import os import re import sys import json import time import codecs import base64 import asyncio import aiohttp import chardet import aiofiles import binascii from http import cookiejar from printer import Printer from Crypto.Cipher import AES from contextlib import closing MAX_SEMAPHORE = asyncio.Semaphore(10) cl...
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from custom import * data = np.load('norings-save.npz') standards = data['standards'] target = data['target'] airmass = data['airmass'] exptime = data['exptime'] time = data['opentime'] error = data['error'] target_centroid = data['target_centroid'] standard_centroid = data['standard_centroid'] coords = d...
examples/do_not/analyze.py
from custom import * data = np.load('norings-save.npz') standards = data['standards'] target = data['target'] airmass = data['airmass'] exptime = data['exptime'] time = data['opentime'] error = data['error'] target_centroid = data['target_centroid'] standard_centroid = data['standard_centroid'] coords = d...
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import pandas as pd import seaborn as sns import matplotlib.pyplot as plt from sklearn.manifold import MDS import matplotlib.pyplot as plt import numpy as np from sklearn.metrics import silhouette_samples, silhouette_score import matplotlib.cm as cm class RibosomeGene: def __init__(self, accession, header, sequen...
Machine Learning/kmeans from scratch/utilities.py
import pandas as pd import seaborn as sns import matplotlib.pyplot as plt from sklearn.manifold import MDS import matplotlib.pyplot as plt import numpy as np from sklearn.metrics import silhouette_samples, silhouette_score import matplotlib.cm as cm class RibosomeGene: def __init__(self, accession, header, sequen...
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import genologics_sql.tables as t from sqlalchemy import or_, and_, func from sqlalchemy.orm.util import aliased def format_date(date): if date: return date.isoformat() return None def add_filters(q, **kwargs): if kwargs.get('project_name'): q = q.filter(t.Project.name == kwargs.get('pro...
rest_api/limsdb/queries/__init__.py
import genologics_sql.tables as t from sqlalchemy import or_, and_, func from sqlalchemy.orm.util import aliased def format_date(date): if date: return date.isoformat() return None def add_filters(q, **kwargs): if kwargs.get('project_name'): q = q.filter(t.Project.name == kwargs.get('pro...
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from . import db from werkzeug.security import generate_password_hash, check_password_hash from flask_login import UserMixin from . import login_manager from datetime import datetime from sqlalchemy.sql import func @login_manager.user_loader def load_user(user_id): ''' @login_manager.user_loader Passes in a u...
app/models.py
from . import db from werkzeug.security import generate_password_hash, check_password_hash from flask_login import UserMixin from . import login_manager from datetime import datetime from sqlalchemy.sql import func @login_manager.user_loader def load_user(user_id): ''' @login_manager.user_loader Passes in a u...
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from warcio.limitreader import LimitReader from pywb.webagg.utils import load_config from contextlib import contextmanager import gevent # ============================================================================ def load_wr_config(): return load_config('WR_CONFIG', 'pkg://webrecorder/config/wr.yaml', 'WR_USER...
webrecorder/webrecorder/utils.py
from warcio.limitreader import LimitReader from pywb.webagg.utils import load_config from contextlib import contextmanager import gevent # ============================================================================ def load_wr_config(): return load_config('WR_CONFIG', 'pkg://webrecorder/config/wr.yaml', 'WR_USER...
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import configparser from jinja2 import (Environment, FileSystemLoader, PackageLoader, select_autoescape) import logging import os import pathlib from PIL import Image import re import sqlite3 import stat import subprocess import sys from photo_album import (Album, Package, CustomArgumentParser) logger = loggi...
photo_album/mkgallerytiff.py
import configparser from jinja2 import (Environment, FileSystemLoader, PackageLoader, select_autoescape) import logging import os import pathlib from PIL import Image import re import sqlite3 import stat import subprocess import sys from photo_album import (Album, Package, CustomArgumentParser) logger = loggi...
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import argparse import os import sys from datetime import date from sqlalchemy import create_engine from sqlalchemy.orm import sessionmaker from tasker import Tasker, InvalidStartDateException, DuplicateNameException, InvalidCadenceException from models import Base from intervals.interval_factory import IntervalFacto...
src/cli.py
import argparse import os import sys from datetime import date from sqlalchemy import create_engine from sqlalchemy.orm import sessionmaker from tasker import Tasker, InvalidStartDateException, DuplicateNameException, InvalidCadenceException from models import Base from intervals.interval_factory import IntervalFacto...
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import os, sys, shutil, json, zipfile real_path = os.path.realpath(__file__) LYNDOR_PATH = real_path[:real_path.find('install.py')] def check_os(): '''Check operating system''' platform = sys.platform.lower() if platform == 'darwin': return 'macos' elif platform == 'win32': retur...
install.py
import os, sys, shutil, json, zipfile real_path = os.path.realpath(__file__) LYNDOR_PATH = real_path[:real_path.find('install.py')] def check_os(): '''Check operating system''' platform = sys.platform.lower() if platform == 'darwin': return 'macos' elif platform == 'win32': retur...
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import sys sys.path.append("../model") sys.path.append('./model') import os from os.path import isfile, isdir, join, splitext import glob import shutil import pandas as pd import numpy as np import matplotlib.pyplot as plt from collections import Counter, defaultdict import datetime # custom from process_raw_price...
process_data/process_data.py
import sys sys.path.append("../model") sys.path.append('./model') import os from os.path import isfile, isdir, join, splitext import glob import shutil import pandas as pd import numpy as np import matplotlib.pyplot as plt from collections import Counter, defaultdict import datetime # custom from process_raw_price...
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from approaches.approach import Multiclass_Logistic_Regression, Perceptron, Sklearn_SVM import comp_vis.calibration_tools as ct import comp_vis.data_tools as dt import comp_vis.img_tools as it import comp_vis.live_tools as lt import numpy as np import os import random import sys import time already_cropped = True # ...
live_demo.py
from approaches.approach import Multiclass_Logistic_Regression, Perceptron, Sklearn_SVM import comp_vis.calibration_tools as ct import comp_vis.data_tools as dt import comp_vis.img_tools as it import comp_vis.live_tools as lt import numpy as np import os import random import sys import time already_cropped = True # ...
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import os import contextlib import logging import pprint import requests __version__ = '0.2.1' CONFIG_URL = "https://tech.lds.org/mobile/ldstools/config.json" ENV_USERNAME = 'LDSORG_USERNAME' ENV_PASSWORD = '<PASSWORD>' logger = logging.getLogger("lds-org") class Error(Exception): """Exceptions for module logic...
lds_org.py
import os import contextlib import logging import pprint import requests __version__ = '0.2.1' CONFIG_URL = "https://tech.lds.org/mobile/ldstools/config.json" ENV_USERNAME = 'LDSORG_USERNAME' ENV_PASSWORD = '<PASSWORD>' logger = logging.getLogger("lds-org") class Error(Exception): """Exceptions for module logic...
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# use tdklib library,which provides a wrapper for tdk testcase script import tdklib; from tdkbVariables import *; #Test component to be tested obj = tdklib.TDKScriptingLibrary("halplatform","1"); obj1 = tdklib.TDKScriptingLibrary("sysutil","1") #IP and Port of box, No need to change, #This will be replaced with corres...
testscripts/RDKB/component/HAL_Platform/TS_platform_stub_hal_SetFactoryCmVariant.py
# use tdklib library,which provides a wrapper for tdk testcase script import tdklib; from tdkbVariables import *; #Test component to be tested obj = tdklib.TDKScriptingLibrary("halplatform","1"); obj1 = tdklib.TDKScriptingLibrary("sysutil","1") #IP and Port of box, No need to change, #This will be replaced with corres...
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0.231061
import os import struct import binascii import socket import threading import datetime from time import time, sleep from json import load, loads, dumps from src.utils import * from src.db_worker import * from src.logs.log_config import logger from src.protocols.Teltonika.crc import crc16 class Teltonika: BASE_PAT...
src/protocols/Teltonika/Teltonika.py
import os import struct import binascii import socket import threading import datetime from time import time, sleep from json import load, loads, dumps from src.utils import * from src.db_worker import * from src.logs.log_config import logger from src.protocols.Teltonika.crc import crc16 class Teltonika: BASE_PAT...
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import torch import cv2 import math from .conversions import * from .io import torch2numpy, numpy2torch from .tangent_images import get_valid_coordinates, convert_tangent_image_coordinates_to_spherical import _spherical_distortion_ext._mesh as _mesh def compute_sift_keypoints(img, nfeature...
layers/util/image_ops.py
import torch import cv2 import math from .conversions import * from .io import torch2numpy, numpy2torch from .tangent_images import get_valid_coordinates, convert_tangent_image_coordinates_to_spherical import _spherical_distortion_ext._mesh as _mesh def compute_sift_keypoints(img, nfeature...
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import numpy as np import matplotlib.pyplot as plt from matplotlib.colors import ListedColormap from dateutil.relativedelta import relativedelta from datetime import datetime import pickle from scipy.spatial.distance import jensenshannon from scipy.stats import entropy import networkx as nx from wordcloud import WordCl...
efwebsite/bkp-files/visualize_tagging.py
import numpy as np import matplotlib.pyplot as plt from matplotlib.colors import ListedColormap from dateutil.relativedelta import relativedelta from datetime import datetime import pickle from scipy.spatial.distance import jensenshannon from scipy.stats import entropy import networkx as nx from wordcloud import WordCl...
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import os import argparse import traceback from latexcompiler.utils.compile_tex_files import compile_tex_files def compile_document(tex_engine, bib_engine, no_bib, path, folder_name): r"""This function compiles .tex files into .pdf files using the submitted information. NOTE: It can especially be used for ...
latexcompiler/LC.py
import os import argparse import traceback from latexcompiler.utils.compile_tex_files import compile_tex_files def compile_document(tex_engine, bib_engine, no_bib, path, folder_name): r"""This function compiles .tex files into .pdf files using the submitted information. NOTE: It can especially be used for ...
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import unittest from tests.utilities import BaseTest from accessors import mongo_db_accessor from mock import MagicMock, patch from ddt import data, ddt, unpack @ddt class PaginatorTest(BaseTest): import_route = 'accessors.mongo_db_accessor' def setUp(self): self.mock_collection = MagicMock() de...
tests/test_mongodb_accessor.py
import unittest from tests.utilities import BaseTest from accessors import mongo_db_accessor from mock import MagicMock, patch from ddt import data, ddt, unpack @ddt class PaginatorTest(BaseTest): import_route = 'accessors.mongo_db_accessor' def setUp(self): self.mock_collection = MagicMock() de...
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from django.forms import widgets from rest_framework import serializers from links.models import Link from django.contrib.auth.models import User import logging class Wikifetch(object): def __init__(self, title, description, url): self.title = title # self.submitter = submitter self.descrip...
links/serializers.py
from django.forms import widgets from rest_framework import serializers from links.models import Link from django.contrib.auth.models import User import logging class Wikifetch(object): def __init__(self, title, description, url): self.title = title # self.submitter = submitter self.descrip...
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import numpy as np from astropy.io import fits from numpy.testing import assert_allclose from astropy.tests.helper import pytest from astropy.utils import NumpyRNGContext from ..ccdproc import * import os DATA_SCALE = 5.3 NCRAYS = 30 def add_cosmicrays(data, scale, threshold, ncrays=NCRAYS): size = data.shap...
ccdproc/tests/test_cosmicray.py
import numpy as np from astropy.io import fits from numpy.testing import assert_allclose from astropy.tests.helper import pytest from astropy.utils import NumpyRNGContext from ..ccdproc import * import os DATA_SCALE = 5.3 NCRAYS = 30 def add_cosmicrays(data, scale, threshold, ncrays=NCRAYS): size = data.shap...
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import os,sys nrpy_dir_path = os.path.join("..") if nrpy_dir_path not in sys.path: sys.path.append(nrpy_dir_path) giraffefood_dir_path = os.path.join("GiRaFFEfood_NRPy") if giraffefood_dir_path not in sys.path: sys.path.append(giraffefood_dir_path) # Step 0: Import the NRPy+ core modules and set the reference ...
in_progress/GiRaFFEfood_NRPy/GiRaFFEfood_NRPy.py
import os,sys nrpy_dir_path = os.path.join("..") if nrpy_dir_path not in sys.path: sys.path.append(nrpy_dir_path) giraffefood_dir_path = os.path.join("GiRaFFEfood_NRPy") if giraffefood_dir_path not in sys.path: sys.path.append(giraffefood_dir_path) # Step 0: Import the NRPy+ core modules and set the reference ...
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from pacman.model.routing_tables.multicast_routing_table import \ MulticastRoutingTable from pacman.model.routing_tables.multicast_routing_tables import \ MulticastRoutingTables from spinn_machine.multicast_routing_entry import MulticastRoutingEntry from spinn_machine.utilities.progress_bar import ProgressBar ...
src/spinnaker_ros_lsm/venv/lib/python2.7/site-packages/pacman/operations/routing_table_generators/basic_routing_table_generator.py
from pacman.model.routing_tables.multicast_routing_table import \ MulticastRoutingTable from pacman.model.routing_tables.multicast_routing_tables import \ MulticastRoutingTables from spinn_machine.multicast_routing_entry import MulticastRoutingEntry from spinn_machine.utilities.progress_bar import ProgressBar ...
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import argparse import os import sys from tqdm import tqdm import numpy as np import cv2 import json import keras import tensorflow as tf # Allow relative imports when being executed as script. if __name__ == "__main__" and __package__ is None: sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', '..'...
keras_retinanet/bin/predict.py
import argparse import os import sys from tqdm import tqdm import numpy as np import cv2 import json import keras import tensorflow as tf # Allow relative imports when being executed as script. if __name__ == "__main__" and __package__ is None: sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', '..'...
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# Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # http://www.apache.org/licenses/LICENSE-2.0 # Unless required by applicable law or agreed to in writing, software # distributed under the...
mesonbuild/scripts/depscan.py
# Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # http://www.apache.org/licenses/LICENSE-2.0 # Unless required by applicable law or agreed to in writing, software # distributed under the...
0.687315
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from django.template.defaultfilters import capfirst from django.utils.html import format_html from django.utils.translation import gettext as _ from .css import merge_css_classes from .html import render_tag from .size import DEFAULT_SIZE, SIZE_MD, get_size_class ALERT_TYPES = ["primary", "secondary", "success", "dan...
virtual/lib/python3.8/site-packages/django_bootstrap5/components.py
from django.template.defaultfilters import capfirst from django.utils.html import format_html from django.utils.translation import gettext as _ from .css import merge_css_classes from .html import render_tag from .size import DEFAULT_SIZE, SIZE_MD, get_size_class ALERT_TYPES = ["primary", "secondary", "success", "dan...
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from pathlib import Path import numpy as np from .base_dataset import BaseDataset from .builder import DATASETS @DATASETS.register_module() class GoalClassification(BaseDataset): """ 进球判定数据集 """ def load_annotations(self): """ 0是负样本:没进球 1是正样本:进球了 Re...
mmcls/datasets/goal_classification.py
from pathlib import Path import numpy as np from .base_dataset import BaseDataset from .builder import DATASETS @DATASETS.register_module() class GoalClassification(BaseDataset): """ 进球判定数据集 """ def load_annotations(self): """ 0是负样本:没进球 1是正样本:进球了 Re...
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import pprint import re # noqa: F401 import six class PageElement(object): """NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. """ """ Attributes: swagger_types (dict): The key is attribute name and the ...
uptrends/models/page_element.py
import pprint import re # noqa: F401 import six class PageElement(object): """NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. """ """ Attributes: swagger_types (dict): The key is attribute name and the ...
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import boto3 import hashlib import os import json import base64 from google.oauth2 import service_account from google.cloud import firestore # Initialize clents for AWS local_dynamodb_client = boto3.client('dynamodb') secrets_client = boto3.client("secretsmanager") # Load the GCP credential from AWS secrets manager...
dynamodb-firestore/streaming-replication/lambda-func/sync-from-stream.py
import boto3 import hashlib import os import json import base64 from google.oauth2 import service_account from google.cloud import firestore # Initialize clents for AWS local_dynamodb_client = boto3.client('dynamodb') secrets_client = boto3.client("secretsmanager") # Load the GCP credential from AWS secrets manager...
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import random import json from maze import Maze class MazeReaderException(Exception): pass class MazeReader(object): """ Read a maze from different input sources """ STDIN = 0 FILE = 1 SOCKET = 2 def __init__(self): self.maze_rows = [] pass def readStdin(self): "...
pyconindia2017concurrency/maze/mazefactory.py
import random import json from maze import Maze class MazeReaderException(Exception): pass class MazeReader(object): """ Read a maze from different input sources """ STDIN = 0 FILE = 1 SOCKET = 2 def __init__(self): self.maze_rows = [] pass def readStdin(self): "...
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from typing import List from threading import Thread from time import sleep from pygame import mixer, time from src.internal.app.interfaces.player import Player from src.internal.domain.music.playlist import Playlist from src.internal.domain.music.song import Song CONTINUOUS_LOOP = 1000000 class LocalPlayer(Player...
src/internal/adapters/local_player.py
from typing import List from threading import Thread from time import sleep from pygame import mixer, time from src.internal.app.interfaces.player import Player from src.internal.domain.music.playlist import Playlist from src.internal.domain.music.song import Song CONTINUOUS_LOOP = 1000000 class LocalPlayer(Player...
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from . import user from . import exception, utils import requests import re import json from .utils import Get, Post import math headers = utils.default_headers apis = utils.get_apis() class SendDynamic: def __init__(self, text: str, verify: utils.Verify): self.verify = verify self._text = "" ...
bilibili_api/src/dynamic.py
from . import user from . import exception, utils import requests import re import json from .utils import Get, Post import math headers = utils.default_headers apis = utils.get_apis() class SendDynamic: def __init__(self, text: str, verify: utils.Verify): self.verify = verify self._text = "" ...
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from functools import partial from typing import TYPE_CHECKING, List, Optional, Union from anyio import to_thread from prefect import get_run_logger, task if TYPE_CHECKING: from tweepy import Status from prefect_twitter import TwitterCredentials @task async def update_status( twitter_credentials: "Twi...
prefect_twitter/tweets.py
from functools import partial from typing import TYPE_CHECKING, List, Optional, Union from anyio import to_thread from prefect import get_run_logger, task if TYPE_CHECKING: from tweepy import Status from prefect_twitter import TwitterCredentials @task async def update_status( twitter_credentials: "Twi...
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import os import datetime from decimal import Decimal import sqlite3 import freezegun import market_data.data_adapter as data_adapter from market_data.data import EquityData, InvalidTickerError, InvalidDateError def adapt_date(dt): return dt.strftime('%Y-%m-%d') sqlite3.register_adapter(Decimal, lambda d: str(d...
market_data/sqlite3_data_adapter.py
import os import datetime from decimal import Decimal import sqlite3 import freezegun import market_data.data_adapter as data_adapter from market_data.data import EquityData, InvalidTickerError, InvalidDateError def adapt_date(dt): return dt.strftime('%Y-%m-%d') sqlite3.register_adapter(Decimal, lambda d: str(d...
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import sys import os from .base import InvalidInput import libyang as ly import sysrepo as sr from .common import sysrepo_wrap from tabulate import tabulate import logging from natsort import natsorted logger = logging.getLogger(__name__) stdout = logging.getLogger("stdout") stderr = logging.getLogger("stderr") def...
src/north/cli/gscli/onlp.py
import sys import os from .base import InvalidInput import libyang as ly import sysrepo as sr from .common import sysrepo_wrap from tabulate import tabulate import logging from natsort import natsorted logger = logging.getLogger(__name__) stdout = logging.getLogger("stdout") stderr = logging.getLogger("stderr") def...
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import pytest from samwell import sam from samwell.sam.sambuilder import SamBuilder def test_add_pair_all_fields() -> None: builder = SamBuilder() builder.add_pair( name="q1", chrom="chr1", bases1="ACGTG", quals1=[20, 21, 22, 23, 24], start1=10000, cigar1="5M"...
samwell/sam/tests/test_sambuilder.py
import pytest from samwell import sam from samwell.sam.sambuilder import SamBuilder def test_add_pair_all_fields() -> None: builder = SamBuilder() builder.add_pair( name="q1", chrom="chr1", bases1="ACGTG", quals1=[20, 21, 22, 23, 24], start1=10000, cigar1="5M"...
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import os import sys import codecs import logging class GenHand(object): ''' generate handcraft class ''' def __init__(self, basepath, outfile, logger): self.basepath = basepath self.of = outfile self.cf = [] self.logging = logger self.filecheck() def filecheck(self): pwfs = sorted(os.listdir(os....
ferup_generateHand.py
import os import sys import codecs import logging class GenHand(object): ''' generate handcraft class ''' def __init__(self, basepath, outfile, logger): self.basepath = basepath self.of = outfile self.cf = [] self.logging = logger self.filecheck() def filecheck(self): pwfs = sorted(os.listdir(os....
0.125654
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import argparse from pathlib import Path import pandas as pd from hp_transfer_aa_experiments.analyse._plot_utils import plot_aggregates from hp_transfer_aa_experiments.analyse._plot_utils import plot_global_aggregates from hp_transfer_aa_experiments.analyse.read_results import get_approach_data from hp_transfer_aa_e...
hp_transfer_aa_experiments/analyse/plot_improvements.py
import argparse from pathlib import Path import pandas as pd from hp_transfer_aa_experiments.analyse._plot_utils import plot_aggregates from hp_transfer_aa_experiments.analyse._plot_utils import plot_global_aggregates from hp_transfer_aa_experiments.analyse.read_results import get_approach_data from hp_transfer_aa_e...
0.672977
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import io import logging import multiprocessing as mp import os import types from datetime import datetime, timedelta import humanfriendly import psutil import tqdm from sdgym.data import load_dataset from sdgym.evaluate import compute_scores from sdgym.results import make_leaderboard from sdgym.synthesizers.base im...
sdgym/benchmark.py
import io import logging import multiprocessing as mp import os import types from datetime import datetime, timedelta import humanfriendly import psutil import tqdm from sdgym.data import load_dataset from sdgym.evaluate import compute_scores from sdgym.results import make_leaderboard from sdgym.synthesizers.base im...
0.69035
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from app import app from db_config import * from flask import jsonify, request @app.route("/api/Admin/view/items_sold_unsold", methods=["GET"]) def sold_unsold_items(): conn = mysql.connection cursor = conn.cursor() try: sql = f"""-- sql SELECT `Sold`.`Product ID` AS `IID`, `Sol...
Backend Server/AdminRoutes/admin_frontpage.py
from app import app from db_config import * from flask import jsonify, request @app.route("/api/Admin/view/items_sold_unsold", methods=["GET"]) def sold_unsold_items(): conn = mysql.connection cursor = conn.cursor() try: sql = f"""-- sql SELECT `Sold`.`Product ID` AS `IID`, `Sol...
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from uuid import uuid4 from django.core.cache import cache from drf_yasg.views import get_schema_view from drf_yasg import openapi from rest_framework import permissions, authentication from rest_framework.response import Response from rest_framework.views import APIView from rest_framework.viewsets import GenericViewS...
core/views.py
from uuid import uuid4 from django.core.cache import cache from drf_yasg.views import get_schema_view from drf_yasg import openapi from rest_framework import permissions, authentication from rest_framework.response import Response from rest_framework.views import APIView from rest_framework.viewsets import GenericViewS...
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from cloudcafe.common.models.configuration import ConfigSectionInterface class AutoscaleConfig(ConfigSectionInterface): """ Defines the config values for autoscale """ SECTION_NAME = 'autoscale' @property def tenant_id(self): """ Tenant ID of the account """ re...
autoscale_cloudcafe/autoscale/config.py
from cloudcafe.common.models.configuration import ConfigSectionInterface class AutoscaleConfig(ConfigSectionInterface): """ Defines the config values for autoscale """ SECTION_NAME = 'autoscale' @property def tenant_id(self): """ Tenant ID of the account """ re...
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import copy import io import os import time import warnings from collections import namedtuple import matplotlib import utils.file_utils as file_utils from codescan_interface import CodescanInterface matplotlib.use('agg') from matplotlib.pyplot import clf from pylab import savefig, close class PlotBase(object): ...
plot_base.py
import copy import io import os import time import warnings from collections import namedtuple import matplotlib import utils.file_utils as file_utils from codescan_interface import CodescanInterface matplotlib.use('agg') from matplotlib.pyplot import clf from pylab import savefig, close class PlotBase(object): ...
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from __future__ import division, absolute_import, print_function """ File list functions. Provided functions ------------------ fullnames Filenames with absolute paths in local directories. fullnames_dates Filenames with absolute paths and modification times in local ...
jams/files/__init__.py
from __future__ import division, absolute_import, print_function """ File list functions. Provided functions ------------------ fullnames Filenames with absolute paths in local directories. fullnames_dates Filenames with absolute paths and modification times in local ...
0.5564
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from typing import Dict from ir_datasets import registry from ir_datasets.datasets.base import Dataset, YamlDocumentation from ir_datasets.formats import ToucheQueries, ToucheQrels from ir_datasets.formats.touche import ToucheQualityQrels from ir_datasets.util import DownloadConfig, home_path, Cache, ZipExtract NAME ...
ir_datasets/datasets/touche.py
from typing import Dict from ir_datasets import registry from ir_datasets.datasets.base import Dataset, YamlDocumentation from ir_datasets.formats import ToucheQueries, ToucheQrels from ir_datasets.formats.touche import ToucheQualityQrels from ir_datasets.util import DownloadConfig, home_path, Cache, ZipExtract NAME ...
0.770853
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from datetime import datetime, timedelta import html2text import json from langdetect import detect, DetectorFactory from multiprocessing import Pool import pandas as pd import re import scraper import string import sys from urllib.parse import quote import utils def review(bloglist_file, api_key, request_rate=0.25, o...
tools/scraper/reviews.py
from datetime import datetime, timedelta import html2text import json from langdetect import detect, DetectorFactory from multiprocessing import Pool import pandas as pd import re import scraper import string import sys from urllib.parse import quote import utils def review(bloglist_file, api_key, request_rate=0.25, o...
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from girder.api import access from girder.api.describe import Description, describeRoute from girder.api.rest import Resource, filtermodel class Fib(Resource): def __init__(self): super(Fib, self).__init__() self.resourceName = 'fib' self.route('POST', (), self.run_fib_sequence) se...
packages/girder_worker/devops/ansible/examples/etc/fibonacci_plugin/server/__init__.py
from girder.api import access from girder.api.describe import Description, describeRoute from girder.api.rest import Resource, filtermodel class Fib(Resource): def __init__(self): super(Fib, self).__init__() self.resourceName = 'fib' self.route('POST', (), self.run_fib_sequence) se...
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import argparse from collections import defaultdict from tqdm import tqdm from util import read_jsonl, write_jsonl def read_records(file_name, min_agreement=0.69, task="simple"): orig_records = read_jsonl(file_name) records = [] for r in tqdm(orig_records): if float(r[task + "_agreement"]) < min...
headline_cause/crowd/split.py
import argparse from collections import defaultdict from tqdm import tqdm from util import read_jsonl, write_jsonl def read_records(file_name, min_agreement=0.69, task="simple"): orig_records = read_jsonl(file_name) records = [] for r in tqdm(orig_records): if float(r[task + "_agreement"]) < min...
0.437343
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import os import glob import json import boto3 import config import tarfile import logging import logging.config import argparse import requests logging.config.dictConfig(config.LOGGING) logger = logging.getLogger() def parse_visualizations(dashboard): """ Parse the visualizations from a dashboard :param ...
kibtools/dashboard.py
import os import glob import json import boto3 import config import tarfile import logging import logging.config import argparse import requests logging.config.dictConfig(config.LOGGING) logger = logging.getLogger() def parse_visualizations(dashboard): """ Parse the visualizations from a dashboard :param ...
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import copy import random from functools import wraps,partial import torch from torch import nn import torch.nn.functional as F from torchvision import transforms as T # helper functions def default(val, def_val): return def_val if val is None else val def flatten(t): return t.reshape(t.shape...
Pixel/pixcl.py
import copy import random from functools import wraps,partial import torch from torch import nn import torch.nn.functional as F from torchvision import transforms as T # helper functions def default(val, def_val): return def_val if val is None else val def flatten(t): return t.reshape(t.shape...
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from __future__ import annotations import disnake import pandas as pd from disnake.ext import commands from discordbot.config_discordbot import logger from discordbot.stocks.technical_analysis.ad import ad_command from discordbot.stocks.technical_analysis.adosc import adosc_command from discordbot.stocks.technical_an...
discordbot/cmds/ta_cmds.py
from __future__ import annotations import disnake import pandas as pd from disnake.ext import commands from discordbot.config_discordbot import logger from discordbot.stocks.technical_analysis.ad import ad_command from discordbot.stocks.technical_analysis.adosc import adosc_command from discordbot.stocks.technical_an...
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