code stringlengths 2k 1.04M | repo_path stringlengths 5 517 | parsed_code stringlengths 0 1.04M | quality_prob float64 0.02 0.95 | learning_prob float64 0.02 0.93 |
|---|---|---|---|---|
import numpy
from game_binary_search import try_guest_hacker, init_game
class GameMatrix:
def create_game(self):
self.create_matrix()
self.position_init_player()
self.position_init_hacker()
def create_matrix(self, matrix_width: int = 0, matrix_height: int = 0):
'''
1: ... | python/binary_search/game_matrix.py | import numpy
from game_binary_search import try_guest_hacker, init_game
class GameMatrix:
def create_game(self):
self.create_matrix()
self.position_init_player()
self.position_init_hacker()
def create_matrix(self, matrix_width: int = 0, matrix_height: int = 0):
'''
1: ... | 0.338733 | 0.272835 |
from . import ProgressiveTest
from progressivis.core import aio
from progressivis import Every
from progressivis.stats.blobs_table import BlobsTable, MVBlobsTable
from progressivis.stats.random_table import RandomTable
from progressivis.linalg import Add
import numpy as np
from progressivis.io import CSVLoader
def prin... | tests/test_03_blobs_table.py | from . import ProgressiveTest
from progressivis.core import aio
from progressivis import Every
from progressivis.stats.blobs_table import BlobsTable, MVBlobsTable
from progressivis.stats.random_table import RandomTable
from progressivis.linalg import Add
import numpy as np
from progressivis.io import CSVLoader
def prin... | 0.403214 | 0.40751 |
class CustomGlyph(object):
def __init__(self, prefix, name, opts=None):
self._prefix = prefix
self._name = name
self._opts = opts
@property
def value(self):
if type(self._name) is tuple or type(self._name) is list:
return " ".join("%s-%s" % (self._prefix, self... | igdectk/bootstrap/customglyph.py |
class CustomGlyph(object):
def __init__(self, prefix, name, opts=None):
self._prefix = prefix
self._name = name
self._opts = opts
@property
def value(self):
if type(self._name) is tuple or type(self._name) is list:
return " ".join("%s-%s" % (self._prefix, self... | 0.731922 | 0.075961 |
import tensorflow as tf
import math
num_classes = 85742 # 10572
initializer = 'glorot_normal'
# initializer = tf.keras.initializers.TruncatedNormal(
# mean=0.0, stddev=0.05, seed=None)
# initializer = tf.keras.initializers.VarianceScaling(
# scale=0.05, mode='fan_avg', distribution='normal', seed=None)
clas... | model/arcface/arcface.py | import tensorflow as tf
import math
num_classes = 85742 # 10572
initializer = 'glorot_normal'
# initializer = tf.keras.initializers.TruncatedNormal(
# mean=0.0, stddev=0.05, seed=None)
# initializer = tf.keras.initializers.VarianceScaling(
# scale=0.05, mode='fan_avg', distribution='normal', seed=None)
clas... | 0.790652 | 0.364523 |
from math import ceil
S0 = [
0x3E, 0x72, 0x5B, 0x47, 0xCA, 0xE0, 0x00, 0x33, 0x04, 0xD1, 0x54, 0x98, 0x09, 0xB9, 0x6D, 0xCB,
0x7B, 0x1B, 0xF9, 0x32, 0xAF, 0x9D, 0x6A, 0xA5, 0xB8, 0x2D, 0xFC, 0x1D, 0x08, 0x53, 0x03, 0x90,
0x4D, 0x4E, 0x84, 0x99, 0xE4, 0xCE, 0xD9, 0x91, 0xDD, 0xB6, 0x85, 0x48, 0x8B, 0x29, 0... | pysmx/ZUC/_ZUC.py |
from math import ceil
S0 = [
0x3E, 0x72, 0x5B, 0x47, 0xCA, 0xE0, 0x00, 0x33, 0x04, 0xD1, 0x54, 0x98, 0x09, 0xB9, 0x6D, 0xCB,
0x7B, 0x1B, 0xF9, 0x32, 0xAF, 0x9D, 0x6A, 0xA5, 0xB8, 0x2D, 0xFC, 0x1D, 0x08, 0x53, 0x03, 0x90,
0x4D, 0x4E, 0x84, 0x99, 0xE4, 0xCE, 0xD9, 0x91, 0xDD, 0xB6, 0x85, 0x48, 0x8B, 0x29, 0... | 0.118627 | 0.582343 |
import itertools
import json
import os
import uuid
import begin
import yaml
def apt_get(*packages):
return ('apt-get update && apt-get install --no-install-recommends --yes'
' {}'.format(' '.join(packages)))
TOOLS = [apt_get('git')]
@begin.start
def main(config='.travis.yml', destdir='.'):
c... | travis_runner/generate.py | import itertools
import json
import os
import uuid
import begin
import yaml
def apt_get(*packages):
return ('apt-get update && apt-get install --no-install-recommends --yes'
' {}'.format(' '.join(packages)))
TOOLS = [apt_get('git')]
@begin.start
def main(config='.travis.yml', destdir='.'):
c... | 0.275032 | 0.082217 |
import json
class MatchDto:
def __init__(self, jsonData):
#self.jsonData = jsonData
# self.seasonId = jsonData["seasonId"] if "seasonId" in jsonData else None
self.queueId = jsonData["queueId"] if "queueId" in jsonData else None
self.gameId = jsonData["gameId"] if "gameId" in jsonDa... | Python/Src/lolData/matchData.py | import json
class MatchDto:
def __init__(self, jsonData):
#self.jsonData = jsonData
# self.seasonId = jsonData["seasonId"] if "seasonId" in jsonData else None
self.queueId = jsonData["queueId"] if "queueId" in jsonData else None
self.gameId = jsonData["gameId"] if "gameId" in jsonDa... | 0.145783 | 0.055387 |
"""Unit tests for PreviewItem."""
from __future__ import unicode_literals
import unittest
from mock import mock
from collections import OrderedDict
import pywikibot
from wikidatastuff.preview_item import PreviewItem
from wikidatastuff.qualifier import Qualifier # replace with mocks
from wikidatastuff.statement impo... | tests/test_preview_item.py | """Unit tests for PreviewItem."""
from __future__ import unicode_literals
import unittest
from mock import mock
from collections import OrderedDict
import pywikibot
from wikidatastuff.preview_item import PreviewItem
from wikidatastuff.qualifier import Qualifier # replace with mocks
from wikidatastuff.statement impo... | 0.864654 | 0.44903 |
import numpy as np
import mxnet as mx
from .stationary import StationaryKernel
class Matern(StationaryKernel):
"""
Matern kernel:
.. math::
k(r^2) = \\sigma^2 \\exp \\bigg(- \\frac{1}{2} r^2 \\bigg)
:param input_dim: the number of dimensions of the kernel. (The total number of active dimens... | mxfusion/components/distributions/gp/kernels/matern.py |
import numpy as np
import mxnet as mx
from .stationary import StationaryKernel
class Matern(StationaryKernel):
"""
Matern kernel:
.. math::
k(r^2) = \\sigma^2 \\exp \\bigg(- \\frac{1}{2} r^2 \\bigg)
:param input_dim: the number of dimensions of the kernel. (The total number of active dimens... | 0.922474 | 0.740433 |
import requests
import json
import sqlite3
import datetime
import mysql.connector
import os, shutil, datetime, sys
import csv, json
import codecs
import time
from threading import Thread
# Creates database on Amazon MySQL RDS if does not exist
def create_Database():
cnx = mysql.connector.Connect(user='root', pass... | dublin_bikes/src/DataRetrieval.py | import requests
import json
import sqlite3
import datetime
import mysql.connector
import os, shutil, datetime, sys
import csv, json
import codecs
import time
from threading import Thread
# Creates database on Amazon MySQL RDS if does not exist
def create_Database():
cnx = mysql.connector.Connect(user='root', pass... | 0.250821 | 0.239344 |
import pprint
import re # noqa: F401
import six
class TpoDataDTOsERXPatientPrescriptionsActivityDispenseTrackDTO(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 attri... | swagger_client/models/tpo_data_dt_os_erx_patient_prescriptions_activity_dispense_track_dto.py | import pprint
import re # noqa: F401
import six
class TpoDataDTOsERXPatientPrescriptionsActivityDispenseTrackDTO(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 attri... | 0.610686 | 0.135632 |
from pathlib import Path
import shutil
from tempfile import TemporaryFile
from archive import Archive
from archive.tools import tmp_chdir
import pytest
from conftest import *
# Setup a directory with some test data to be put into an archive.
# Make sure that we have all kind of different things in there.
testdata = [... | tests/test_04_cli_diff.py | from pathlib import Path
import shutil
from tempfile import TemporaryFile
from archive import Archive
from archive.tools import tmp_chdir
import pytest
from conftest import *
# Setup a directory with some test data to be put into an archive.
# Make sure that we have all kind of different things in there.
testdata = [... | 0.295027 | 0.418578 |
import unittest
from . import util
from coloraide import Color
class TestLabInputOutput(util.ColorAsserts, unittest.TestCase):
"""Test Lab."""
def test_input_raw(self):
"""Test raw input."""
self.assertColorEqual(Color("lab", [20, 10, -30]), Color('lab(20% 10 -30)'))
def test_color_clas... | tests/test_lab.py | import unittest
from . import util
from coloraide import Color
class TestLabInputOutput(util.ColorAsserts, unittest.TestCase):
"""Test Lab."""
def test_input_raw(self):
"""Test raw input."""
self.assertColorEqual(Color("lab", [20, 10, -30]), Color('lab(20% 10 -30)'))
def test_color_clas... | 0.828002 | 0.835215 |
import sys
import logging
import numpy as np
import matplotlib.pyplot as plt
from pathlib import Path
from beyond.orbits.listeners import LightListener
from beyond.errors import UnknownFrameError
from .utils import circle, docopt, parse_date, parse_timedelta
from .station import StationDb
from .sat import Sat
log =... | space/passes.py |
import sys
import logging
import numpy as np
import matplotlib.pyplot as plt
from pathlib import Path
from beyond.orbits.listeners import LightListener
from beyond.errors import UnknownFrameError
from .utils import circle, docopt, parse_date, parse_timedelta
from .station import StationDb
from .sat import Sat
log =... | 0.523664 | 0.344278 |
import pygame, sys, random
skier_images=["skier_down.png", "skier_right1.png", "skier_right2.png", "skier_left2.png", "skier_left1.png"]
class SkierClass(pygame.sprite.Sprite):
def __init__(self):
pygame.sprite.Sprite.__init__(self)
self.image = pygame.image.load("skier_down.png")
self.rect... | dxj/skier.py | import pygame, sys, random
skier_images=["skier_down.png", "skier_right1.png", "skier_right2.png", "skier_left2.png", "skier_left1.png"]
class SkierClass(pygame.sprite.Sprite):
def __init__(self):
pygame.sprite.Sprite.__init__(self)
self.image = pygame.image.load("skier_down.png")
self.rect... | 0.228931 | 0.521654 |
from __future__ import division, print_function
# Import Python modules
import os
import sys
# Import Broadband modules
from install_cfg import InstallCfg
import bband_utils
import plot_seismograms
# ------------------------------------------------------------------------------
# Constants
# ------------------------... | bbp/comps/bbp_tools.py | from __future__ import division, print_function
# Import Python modules
import os
import sys
# Import Broadband modules
from install_cfg import InstallCfg
import bband_utils
import plot_seismograms
# ------------------------------------------------------------------------------
# Constants
# ------------------------... | 0.331444 | 0.184106 |
from sqlalchemy import func
from sqlalchemy.exc import SQLAlchemyError
from flask_sqlalchemy import SQLAlchemy
from sqlalchemy import and_
from common.database import db
import uuid
class TreeManager:
def __init__(self, model_obj=None, session=None):
self.__model = model_obj
self.__session = sess... | api/common/satree.py | from sqlalchemy import func
from sqlalchemy.exc import SQLAlchemyError
from flask_sqlalchemy import SQLAlchemy
from sqlalchemy import and_
from common.database import db
import uuid
class TreeManager:
def __init__(self, model_obj=None, session=None):
self.__model = model_obj
self.__session = sess... | 0.398992 | 0.106365 |
from . AnalyserBase import AnalyserBaseClass
import functools
import logging
import os
import re
import yaml
_logger = logging.getLogger(__name__)
class SymbooglixAnalyser(AnalyserBaseClass):
def __init__(self, resultDict):
super(SymbooglixAnalyser, self).__init__(resultDict)
assert 'backend_timeout' in sel... | BoogieRunner/Analysers/Symbooglix.py | from . AnalyserBase import AnalyserBaseClass
import functools
import logging
import os
import re
import yaml
_logger = logging.getLogger(__name__)
class SymbooglixAnalyser(AnalyserBaseClass):
def __init__(self, resultDict):
super(SymbooglixAnalyser, self).__init__(resultDict)
assert 'backend_timeout' in sel... | 0.237311 | 0.1526 |
import agentos
import numpy as np
import tensorflow as tf
from tensorflow import keras
import tensorflow_probability as tfp
class Policy:
def __init__(self):
self.nn = keras.Sequential(
[
keras.layers.Dense(4, activation="relu", input_shape=(4,)),
keras.layers.D... | example_agents/rl_agents/reinforce_agent.py | import agentos
import numpy as np
import tensorflow as tf
from tensorflow import keras
import tensorflow_probability as tfp
class Policy:
def __init__(self):
self.nn = keras.Sequential(
[
keras.layers.Dense(4, activation="relu", input_shape=(4,)),
keras.layers.D... | 0.860061 | 0.297036 |
import jsonschema2md
class TestParser:
test_schema = {
"$id": "https://example.com/arrays.schema.json",
"$schema": "http://json-schema.org/draft-07/schema#",
"description": "Vegetable preferences",
"type": "object",
"properties": {
"fruits": {"type": "array", "i... | tests/test_jsonschema2md.py | import jsonschema2md
class TestParser:
test_schema = {
"$id": "https://example.com/arrays.schema.json",
"$schema": "http://json-schema.org/draft-07/schema#",
"description": "Vegetable preferences",
"type": "object",
"properties": {
"fruits": {"type": "array", "i... | 0.841793 | 0.555978 |
from tensorflow.keras.callbacks import Callback
import tensorflow.keras.backend as K
import numpy as np
class CosineAnnealingScheduler(Callback):
def __init__(self, cycle_iterations, min_lr, t_mu=2, start_iteration=0):
self.iteration_id = 0
self.start_iteration = start_iteration
self.cycle... | callbacks.py | from tensorflow.keras.callbacks import Callback
import tensorflow.keras.backend as K
import numpy as np
class CosineAnnealingScheduler(Callback):
def __init__(self, cycle_iterations, min_lr, t_mu=2, start_iteration=0):
self.iteration_id = 0
self.start_iteration = start_iteration
self.cycle... | 0.774882 | 0.163345 |
import os
import numpy as np
import scipy.sparse as sp
import scipy.io as sio
import sys
import re
from utility import *
def parse_arg():
""" utility function to parse argument from command line """
parser = optparse.OptionParser()
parser.add_option('-k', dest='K', default=None, help='# of polarized commun... | sbm_groundtruth.py | import os
import numpy as np
import scipy.sparse as sp
import scipy.io as sio
import sys
import re
from utility import *
def parse_arg():
""" utility function to parse argument from command line """
parser = optparse.OptionParser()
parser.add_option('-k', dest='K', default=None, help='# of polarized commun... | 0.238462 | 0.244104 |
from odoo import api, fields, models
from odoo.addons.onesphere_assembly_industry.constants import ASSEMBLY_TOOLS_TECH_NAME, TIGHTENING_TEST_TYPE
from odoo.exceptions import ValidationError
class MrpWorkcenterGroup(models.Model):
_inherit = 'mrp.workcenter.group'
# 创建工作中心组时更新拧紧工具组数据
@api.model... | server/onesphere/onesphere_assembly_industry/models/mrp_workcenter_group_tool.py | from odoo import api, fields, models
from odoo.addons.onesphere_assembly_industry.constants import ASSEMBLY_TOOLS_TECH_NAME, TIGHTENING_TEST_TYPE
from odoo.exceptions import ValidationError
class MrpWorkcenterGroup(models.Model):
_inherit = 'mrp.workcenter.group'
# 创建工作中心组时更新拧紧工具组数据
@api.model... | 0.208662 | 0.059784 |
from pathlib import Path
import pytest
from unittest.mock import patch, call, Mock
from typing import Union, List, Tuple
from boar.__init__ import Notebook, BoarError
@pytest.mark.ut
@pytest.mark.parametrize("counts,expected_cell_counts", [
([None], []),
([None, None, None], []),
([None, 3, None], [(2, ... | tests/utils/test_parse.py | from pathlib import Path
import pytest
from unittest.mock import patch, call, Mock
from typing import Union, List, Tuple
from boar.__init__ import Notebook, BoarError
@pytest.mark.ut
@pytest.mark.parametrize("counts,expected_cell_counts", [
([None], []),
([None, None, None], []),
([None, 3, None], [(2, ... | 0.854688 | 0.704236 |
import numpy as np
from matplotlib import pyplot as plt
c=2.99e+08 #speed of light in m/s
mhz=1.0e+06
def createFrequency(numin=700.,numax=1800.,nchan=100.):
# Create an array of evenly spaced frequencies
# numin and numax are in [MHz]
# ===========================================
numax=numax*mhz
... | create_spectrum.py |
import numpy as np
from matplotlib import pyplot as plt
c=2.99e+08 #speed of light in m/s
mhz=1.0e+06
def createFrequency(numin=700.,numax=1800.,nchan=100.):
# Create an array of evenly spaced frequencies
# numin and numax are in [MHz]
# ===========================================
numax=numax*mhz
... | 0.252845 | 0.444143 |
from .e2Enum import E2Enum
import gi
gi.require_version('Atspi', '2.0')
from gi.repository import Atspi
class E2Role(E2Enum):
INVALID = (hash(Atspi.Role(0)), Atspi.Role.get_name(Atspi.Role(0)))
ACCELERATOR_LABEL = (hash(Atspi.Role(1)), Atspi.Role.get_name(Atspi.Role(1)))
ALERT = (hash(Atspi.Role(2)), Atspi... | py2End/Enums/e2Role.py | from .e2Enum import E2Enum
import gi
gi.require_version('Atspi', '2.0')
from gi.repository import Atspi
class E2Role(E2Enum):
INVALID = (hash(Atspi.Role(0)), Atspi.Role.get_name(Atspi.Role(0)))
ACCELERATOR_LABEL = (hash(Atspi.Role(1)), Atspi.Role.get_name(Atspi.Role(1)))
ALERT = (hash(Atspi.Role(2)), Atspi... | 0.303732 | 0.151938 |
from django.conf import settings
from userservice.user import UserService
from uw_sws_graderoster.models import GradingScale
from course_grader.dao.person import person_display_name
from course_grader.dao.term import (
submission_deadline_warning, is_grading_period_open)
from course_grader.views.rest_dispatch impo... | course_grader/views/api/__init__.py |
from django.conf import settings
from userservice.user import UserService
from uw_sws_graderoster.models import GradingScale
from course_grader.dao.person import person_display_name
from course_grader.dao.term import (
submission_deadline_warning, is_grading_period_open)
from course_grader.views.rest_dispatch impo... | 0.346873 | 0.144149 |
from django.core.validators import RegexValidator
validate_slug = RegexValidator(
regex=r'^[a-z0-9-]+$',
message='The slug may only contain lower case letters (a–z), numbers (0–9) and dashes (-).',
code='invalid_slug',
)
validate_path = RegexValidator(
regex=r'^/[a-z0-9-/]+$',
message='The path m... | backend/edegal/models/common.py | from django.core.validators import RegexValidator
validate_slug = RegexValidator(
regex=r'^[a-z0-9-]+$',
message='The slug may only contain lower case letters (a–z), numbers (0–9) and dashes (-).',
code='invalid_slug',
)
validate_path = RegexValidator(
regex=r'^/[a-z0-9-/]+$',
message='The path m... | 0.540924 | 0.368747 |
import json
data = []
with open('company-officers.json') as f:
for line in f:
data.append(json.loads(line))
#%% REFORMATTING DATA FOR SIMPLER MANIPULATION
all_company_numbers_lst = []
all_officer_names_lst = []
all_first_names_lst = []
all_active_inactive_flags = []
for row in range(len(data)):
... | companies-house-api/vk/company_officer_gender.py | import json
data = []
with open('company-officers.json') as f:
for line in f:
data.append(json.loads(line))
#%% REFORMATTING DATA FOR SIMPLER MANIPULATION
all_company_numbers_lst = []
all_officer_names_lst = []
all_first_names_lst = []
all_active_inactive_flags = []
for row in range(len(data)):
... | 0.068238 | 0.100392 |
import os, sys
sys.path.append('tools')
from get_iEEG_data import get_iEEG_data
from plot_iEEG_data import plot_iEEG_data
from line_length import line_length
from get_iEEG_duration import get_iEEG_duration
from pull_sz_starts import pull_sz_starts
from pull_sz_ends import pull_sz_ends
import json
import numpy as np
... | code/02-get_features.py |
import os, sys
sys.path.append('tools')
from get_iEEG_data import get_iEEG_data
from plot_iEEG_data import plot_iEEG_data
from line_length import line_length
from get_iEEG_duration import get_iEEG_duration
from pull_sz_starts import pull_sz_starts
from pull_sz_ends import pull_sz_ends
import json
import numpy as np
... | 0.538255 | 0.271167 |
import unittest
import numpy as np
from intfft import fft, ifft
class TestFFT(unittest.TestCase):
# confirm the input arguments .
def _test_fft_input_type(self, dtype):
xr1 = np.arange(2**7, dtype=dtype)
xi1 = np.arange(2**7, dtype=dtype)
_, _ = fft(xr1, xi1)
def test_fft_input_type... | test_fft.py | import unittest
import numpy as np
from intfft import fft, ifft
class TestFFT(unittest.TestCase):
# confirm the input arguments .
def _test_fft_input_type(self, dtype):
xr1 = np.arange(2**7, dtype=dtype)
xi1 = np.arange(2**7, dtype=dtype)
_, _ = fft(xr1, xi1)
def test_fft_input_type... | 0.310067 | 0.414543 |
from __future__ import print_function
import os
import textwrap
import xml.etree.ElementTree as ET
def join_all_element_text(el, sep=""):
bits = []
for txt in el.itertext():
bits.append(txt)
return sep.join(bits)
def remove_empty_header_or_footer_lines(lines):
while lines and not lines[0].str... | tools/doxygen_utils.py | from __future__ import print_function
import os
import textwrap
import xml.etree.ElementTree as ET
def join_all_element_text(el, sep=""):
bits = []
for txt in el.itertext():
bits.append(txt)
return sep.join(bits)
def remove_empty_header_or_footer_lines(lines):
while lines and not lines[0].str... | 0.306008 | 0.099077 |
from functools import partial
import numpy as np
import pandas as pd
import random
import json
import os
import argparse
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.utils.data import random_split
import torchvision
import torchvision.transfor... | Simulations/train_eval_pocnn.py | from functools import partial
import numpy as np
import pandas as pd
import random
import json
import os
import argparse
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.utils.data import random_split
import torchvision
import torchvision.transfor... | 0.790813 | 0.286612 |
import os
from opsbro.httpclient import get_http_exceptions, httper
from opsbro.hostingdrivermanager import InterfaceHostingDriver, HOSTING_DRIVER_LAYER_CLOUD
from opsbro.jsonmgr import jsoner
class GoogleCloudHostingDriver(InterfaceHostingDriver):
name = 'google-cloud'
layer = HOSTING_DRIVER_LAYER_CLOUD
... | data/global-configuration/packs/google-cloud/hostingdrivers/hostingdriver_googlecloud.py | import os
from opsbro.httpclient import get_http_exceptions, httper
from opsbro.hostingdrivermanager import InterfaceHostingDriver, HOSTING_DRIVER_LAYER_CLOUD
from opsbro.jsonmgr import jsoner
class GoogleCloudHostingDriver(InterfaceHostingDriver):
name = 'google-cloud'
layer = HOSTING_DRIVER_LAYER_CLOUD
... | 0.227469 | 0.117953 |
from kubernetes import client, config, watch
import logging
RESTART_POLICY = "Never"
class AccessModes(object):
READ_WRITE_MANY = "ReadWriteMany"
READ_WRITE_ONCE = "ReadWriteOnce"
READ_ONLY_MANY = "ReadOnlyMany"
class JobConditionType(object):
COMPLETE = "Complete"
FAILED = "Failed"
class Eve... | lando/k8s/cluster.py | from kubernetes import client, config, watch
import logging
RESTART_POLICY = "Never"
class AccessModes(object):
READ_WRITE_MANY = "ReadWriteMany"
READ_WRITE_ONCE = "ReadWriteOnce"
READ_ONLY_MANY = "ReadOnlyMany"
class JobConditionType(object):
COMPLETE = "Complete"
FAILED = "Failed"
class Eve... | 0.65368 | 0.161816 |
import json
import sqlite3
class SqliteDatabase(object):
def __init__(self, filename="ladon.db"):
self.connection = sqlite3.connect(filename)
c = self.connection.cursor()
c.execute(
"CREATE TABLE IF NOT EXISTS providers ("
"name TEXT UNIQUE NOT NULL,"
"i... | src/ladon/database.py | import json
import sqlite3
class SqliteDatabase(object):
def __init__(self, filename="ladon.db"):
self.connection = sqlite3.connect(filename)
c = self.connection.cursor()
c.execute(
"CREATE TABLE IF NOT EXISTS providers ("
"name TEXT UNIQUE NOT NULL,"
"i... | 0.438785 | 0.117547 |
import os
import numpy as np
from locs.utils.flags import build_flags
import locs.models.model_builder as model_builder
from locs.datasets.ind_data import IndData, ind_collate_fn
import locs.training.train_dynamicvars as train
import locs.training.train_utils as train_utils
import locs.training.evaluate as evaluate
i... | locs/experiments/ind_experiment.py | import os
import numpy as np
from locs.utils.flags import build_flags
import locs.models.model_builder as model_builder
from locs.datasets.ind_data import IndData, ind_collate_fn
import locs.training.train_dynamicvars as train
import locs.training.train_utils as train_utils
import locs.training.evaluate as evaluate
i... | 0.275714 | 0.137648 |
import inspect
import socket
from uuid import UUID
from importlib import import_module
from types import GeneratorType
from typing import (
List, Dict, ForwardRef, Text, Tuple, Set, Type,
_GenericAlias as GenericAlias, Callable
)
from copy import deepcopy
DictKeySet = type({}.keys())
DictValueSet = type({}.... | ravel/util/misc_functions.py | import inspect
import socket
from uuid import UUID
from importlib import import_module
from types import GeneratorType
from typing import (
List, Dict, ForwardRef, Text, Tuple, Set, Type,
_GenericAlias as GenericAlias, Callable
)
from copy import deepcopy
DictKeySet = type({}.keys())
DictValueSet = type({}.... | 0.730386 | 0.184565 |
from optparse import OptionParser
import numpy as np
from scipy import sparse
from scipy.special import expit
from sklearn.linear_model import LogisticRegression
import lrb
def main():
usage = "%prog"
parser = OptionParser(usage=usage)
parser.add_option('--elim', action="store_true", dest="elimination",... | test_lrb.py | from optparse import OptionParser
import numpy as np
from scipy import sparse
from scipy.special import expit
from sklearn.linear_model import LogisticRegression
import lrb
def main():
usage = "%prog"
parser = OptionParser(usage=usage)
parser.add_option('--elim', action="store_true", dest="elimination",... | 0.672977 | 0.20345 |
from numpy import pi
PI_FRAC_DICT = {
'zero': 0.0,
'piHalf3': 1.5,
'pi': 1.0,
'piHalf': 0.5,
'piQuad': 0.25,
'piOct': 0.125,
'piPent': 0.2,
'piHex': 1. / 6,
'piHept': 1. / 7,
'piNon': 1. / 9,
'piDec': 0.1,
'piUndec': 1. / 11,
'piDodec': 1. / 12,
'piTridec': 1. / ... | qdicts.py | from numpy import pi
PI_FRAC_DICT = {
'zero': 0.0,
'piHalf3': 1.5,
'pi': 1.0,
'piHalf': 0.5,
'piQuad': 0.25,
'piOct': 0.125,
'piPent': 0.2,
'piHex': 1. / 6,
'piHept': 1. / 7,
'piNon': 1. / 9,
'piDec': 0.1,
'piUndec': 1. / 11,
'piDodec': 1. / 12,
'piTridec': 1. / ... | 0.510741 | 0.268405 |
import argparse
from collections import Counter
def parse_args():
parser = argparse.ArgumentParser(description='Clean dataset')
parser.add_argument('-f1', '--file1', help='file1')
parser.add_argument('-f2', '--file2', help='file2')
return parser.parse_args()
def save_output(fname, data):
with o... | DeepLearningExamples/PyTorch/Translation/GNMT/scripts/filter_dataset.py |
import argparse
from collections import Counter
def parse_args():
parser = argparse.ArgumentParser(description='Clean dataset')
parser.add_argument('-f1', '--file1', help='file1')
parser.add_argument('-f2', '--file2', help='file2')
return parser.parse_args()
def save_output(fname, data):
with o... | 0.446253 | 0.407923 |
""" Contains classes that implement the trivial-tasklet-elimination transformation. """
from dace import data, registry
from dace.sdfg import nodes
from dace.sdfg import utils as sdutil
from dace.transformation import transformation
from dace.properties import make_properties
@make_properties
class TrivialTaskletEli... | dace/transformation/dataflow/trivial_tasklet_elimination.py | """ Contains classes that implement the trivial-tasklet-elimination transformation. """
from dace import data, registry
from dace.sdfg import nodes
from dace.sdfg import utils as sdutil
from dace.transformation import transformation
from dace.properties import make_properties
@make_properties
class TrivialTaskletEli... | 0.719482 | 0.466238 |
from __future__ import unicode_literals, division, absolute_import
import argparse
import cgi
import copy
from datetime import datetime
from json import JSONEncoder
from builtins import * # pylint: disable=unused-import, redefined-builtin
from flask import jsonify, Response
from flask import request
from queue impor... | flexget/api/tasks.py | from __future__ import unicode_literals, division, absolute_import
import argparse
import cgi
import copy
from datetime import datetime
from json import JSONEncoder
from builtins import * # pylint: disable=unused-import, redefined-builtin
from flask import jsonify, Response
from flask import request
from queue impor... | 0.53777 | 0.056993 |
import os
import re
import sys
import subprocess
versions = []
def success_message(string):
print('\n\033[92m %s \033[0m \n' % (string))
def error_message(string):
print('\033[91m %s \033[0m \n' % (string))
def runCommand(command):
try:
process = subprocess.Popen(command, stdout=subprocess.P... | switcher.py | import os
import re
import sys
import subprocess
versions = []
def success_message(string):
print('\n\033[92m %s \033[0m \n' % (string))
def error_message(string):
print('\033[91m %s \033[0m \n' % (string))
def runCommand(command):
try:
process = subprocess.Popen(command, stdout=subprocess.P... | 0.075361 | 0.053059 |
import sys
from functools import partial
from emmental.scorer import Scorer
from emmental.task import EmmentalTask
from modules.bert_module import BertModule
from modules.wsc_module import SpanClassifierModule
from task_config import SuperGLUE_TASK_METRIC_MAPPING
from torch import nn
from . import utils
sys.path.app... | superglue/models/wsc.py | import sys
from functools import partial
from emmental.scorer import Scorer
from emmental.task import EmmentalTask
from modules.bert_module import BertModule
from modules.wsc_module import SpanClassifierModule
from task_config import SuperGLUE_TASK_METRIC_MAPPING
from torch import nn
from . import utils
sys.path.app... | 0.40439 | 0.125039 |
from __future__ import print_function
from __future__ import absolute_import
from __future__ import unicode_literals
from __future__ import division
import numpy as np
from scipy.constants import mu_0, pi, epsilon_0
from scipy.special import erfc, erf
from SimPEG import Utils
# TODO:
# r = lambda dx, dy, dz: np.sqrt( ... | em_examples/TDEMDipolarfields.py | from __future__ import print_function
from __future__ import absolute_import
from __future__ import unicode_literals
from __future__ import division
import numpy as np
from scipy.constants import mu_0, pi, epsilon_0
from scipy.special import erfc, erf
from SimPEG import Utils
# TODO:
# r = lambda dx, dy, dz: np.sqrt( ... | 0.630912 | 0.513607 |
from django.db import connection
from django.urls import reverse
from rest_framework.test import APITestCase
from citizens.models import Citizen
from webinar_helps.tests.factories import CitizenFactory
class TestCitizenListAPIView(APITestCase):
def setUp(self):
self.citizen_judy = CitizenFactory(
... | webinar_helps/_versions/test02.py | from django.db import connection
from django.urls import reverse
from rest_framework.test import APITestCase
from citizens.models import Citizen
from webinar_helps.tests.factories import CitizenFactory
class TestCitizenListAPIView(APITestCase):
def setUp(self):
self.citizen_judy = CitizenFactory(
... | 0.479991 | 0.218294 |
import matplotlib.pylab as plt
import numpy as np
import pandas as pd
import xgboost as xgb
from sklearn import metrics
from sklearn.model_selection import GridSearchCV, train_test_split
from xgboost.sklearn import XGBClassifier
import gc
def multiple_run(model, dtrain, predictors, cv_folds=4, early_stopping_rounds=1... | PSSDP/src/xgb.py | import matplotlib.pylab as plt
import numpy as np
import pandas as pd
import xgboost as xgb
from sklearn import metrics
from sklearn.model_selection import GridSearchCV, train_test_split
from xgboost.sklearn import XGBClassifier
import gc
def multiple_run(model, dtrain, predictors, cv_folds=4, early_stopping_rounds=1... | 0.734024 | 0.502686 |
import discord
from datetime import datetime
import os
import reminder
client = discord.Client()
target_timing = [
'day', 'sunday', 'monday', 'tuesday', 'wednesday', 'thursday', 'friday',
'saturday', 'weekday', 'weekend'
]
@client.event
async def on_ready():
print('Logged in as')
print(client.user.n... | main.py | import discord
from datetime import datetime
import os
import reminder
client = discord.Client()
target_timing = [
'day', 'sunday', 'monday', 'tuesday', 'wednesday', 'thursday', 'friday',
'saturday', 'weekday', 'weekend'
]
@client.event
async def on_ready():
print('Logged in as')
print(client.user.n... | 0.252845 | 0.075312 |
from helper import log, status, settings, sequence
from abc import abstractmethod, ABCMeta
from ctypes import *
import os
EXTENSION_NAME = "some extension"
class Shim(metaclass=ABCMeta):
def __init__(self):
lib = cdll.LoadLibrary(os.path.dirname(__file__) + "/main.so")
self.status = status.Status(... | shim/shim.py | from helper import log, status, settings, sequence
from abc import abstractmethod, ABCMeta
from ctypes import *
import os
EXTENSION_NAME = "some extension"
class Shim(metaclass=ABCMeta):
def __init__(self):
lib = cdll.LoadLibrary(os.path.dirname(__file__) + "/main.so")
self.status = status.Status(... | 0.459804 | 0.04123 |
import numpy as np
import neutrons
class TopologyError(Exception):
pass
class Uranium:
"""Generates Uranium Object, can be 1D or 3D based on 'cubey'.
arg: l: float: length of 1D strip, side lengths of U-235 object in 'm',
radius of sphere.
kwarg: shape="line": string: defined which of the ... | uranium_sim.py | import numpy as np
import neutrons
class TopologyError(Exception):
pass
class Uranium:
"""Generates Uranium Object, can be 1D or 3D based on 'cubey'.
arg: l: float: length of 1D strip, side lengths of U-235 object in 'm',
radius of sphere.
kwarg: shape="line": string: defined which of the ... | 0.779196 | 0.708016 |
import os
import struct
import numpy as np
import pickle
def load_mnist(root):
"""Load MNIST data from `root`"""
labels_path = os.path.join(root, "train-labels-idx1-ubyte")
images_path = os.path.join(root, "train-images-idx3-ubyte")
test_label_path = os.path.join(root, "t10k-labels-idx1-ubyte")
... | data_loader.py | import os
import struct
import numpy as np
import pickle
def load_mnist(root):
"""Load MNIST data from `root`"""
labels_path = os.path.join(root, "train-labels-idx1-ubyte")
images_path = os.path.join(root, "train-images-idx3-ubyte")
test_label_path = os.path.join(root, "t10k-labels-idx1-ubyte")
... | 0.357007 | 0.406921 |
def main():
import sys
from scripts.plot_utils import measure_list
import scripts.plot_utils as pu
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--data-file', type=str, default='summary.csv', help='Input data file name')
parser.add_argument('--tgs', default=False, action='store_... | scripts/plot.py | def main():
import sys
from scripts.plot_utils import measure_list
import scripts.plot_utils as pu
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--data-file', type=str, default='summary.csv', help='Input data file name')
parser.add_argument('--tgs', default=False, action='store_... | 0.351645 | 0.251028 |
from DB.db import MySQLDB, MySQLTESTDB, DB
import json
"""
The Bot Data Access Object is responsible for accessing the data stored in the DB Mysql
"""
class BotDAO():
def __init__(self, test_db=None):
self.db = DB() if not test_db else DB(test_db)
def insert_discord_user(self, user_id):
sql = f"INSERT IGNORE... | DAO/BotDAO.py | from DB.db import MySQLDB, MySQLTESTDB, DB
import json
"""
The Bot Data Access Object is responsible for accessing the data stored in the DB Mysql
"""
class BotDAO():
def __init__(self, test_db=None):
self.db = DB() if not test_db else DB(test_db)
def insert_discord_user(self, user_id):
sql = f"INSERT IGNORE... | 0.29747 | 0.106691 |
import dicom
import cv2
import numpy as np
import os
from multiprocessing.pool import ThreadPool
class Reader:
'''
读取各文件夹下的图像文件进行操作
'''
dcm_paths = []
png_paths = []
def __init__(self):
'''
Constructor
'''
def scan_pic(self, path='../data/source/train'):
... | seg/src/code/reader.py | import dicom
import cv2
import numpy as np
import os
from multiprocessing.pool import ThreadPool
class Reader:
'''
读取各文件夹下的图像文件进行操作
'''
dcm_paths = []
png_paths = []
def __init__(self):
'''
Constructor
'''
def scan_pic(self, path='../data/source/train'):
... | 0.174656 | 0.105625 |
import telebot
import cherrypy
import config
import sqlite3
import datetime
import tempfile
import os
from jinja2 import Template
import matplotlib
# Force matplotlib to not use any Xwindows backend.
matplotlib.use('Agg')
import matplotlib.pyplot as plt
bot = telebot.TeleBot(config.token)
class Webh... | bot_webhook.py | import telebot
import cherrypy
import config
import sqlite3
import datetime
import tempfile
import os
from jinja2 import Template
import matplotlib
# Force matplotlib to not use any Xwindows backend.
matplotlib.use('Agg')
import matplotlib.pyplot as plt
bot = telebot.TeleBot(config.token)
class Webh... | 0.083094 | 0.074164 |
from typing import Optional
import dgl
import torch
import torch.nn
from dgl import DGLGraph
from dgl.nn import GraphConv
from torch import Tensor
class GraphConvWithDropout(GraphConv):
"""
A GraphConv followed by a Dropout.
"""
def __init__(self, in_feats, out_feats, dropout=0.3, norm='both', weight... | examples/pytorch/gxn/layers.py | from typing import Optional
import dgl
import torch
import torch.nn
from dgl import DGLGraph
from dgl.nn import GraphConv
from torch import Tensor
class GraphConvWithDropout(GraphConv):
"""
A GraphConv followed by a Dropout.
"""
def __init__(self, in_feats, out_feats, dropout=0.3, norm='both', weight... | 0.957477 | 0.624294 |
from abc import ABCMeta, abstractmethod
from aliquotmaf.converters.builder import get_builder
from aliquotmaf.logger import Logger
class BaseMafRecordMerger(metaclass=ABCMeta):
def __init__(self, scheme):
"""
Initialize the MAF record merging object which has the main `merge_records`
func... | aliquotmaf/merging/record_merger/base.py | from abc import ABCMeta, abstractmethod
from aliquotmaf.converters.builder import get_builder
from aliquotmaf.logger import Logger
class BaseMafRecordMerger(metaclass=ABCMeta):
def __init__(self, scheme):
"""
Initialize the MAF record merging object which has the main `merge_records`
func... | 0.884064 | 0.464659 |
import time
import requests
import json
from tqdm import tqdm
import pandas as pd
import re
from selenium import webdriver
from selenium.webdriver.chrome.service import Service
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expe... | Visualize/website/crawler.py | import time
import requests
import json
from tqdm import tqdm
import pandas as pd
import re
from selenium import webdriver
from selenium.webdriver.chrome.service import Service
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expe... | 0.149873 | 0.050424 |
from __future__ import absolute_import
from __future__ import unicode_literals
__all__ = ["distribute"]
import logging
import functools
from buckshot import contexts
LOG = logging.getLogger(__name__)
def distribute(*func, **opts):
"""Decorator which distributes the wrapped function across multiple
proces... | buckshot/decorators.py | from __future__ import absolute_import
from __future__ import unicode_literals
__all__ = ["distribute"]
import logging
import functools
from buckshot import contexts
LOG = logging.getLogger(__name__)
def distribute(*func, **opts):
"""Decorator which distributes the wrapped function across multiple
proces... | 0.839273 | 0.408867 |
import json
import logging
import re
from contextlib import closing, suppress, contextmanager
from pathlib import Path
from traceback import format_exception
from typing import List, Dict, Any
from model_analyzer.model_complexity import ModelComputationalComplexity
from model_analyzer.model_metadata import ModelMetaDa... | wb/main/jobs/models/analyze_model_job.py | import json
import logging
import re
from contextlib import closing, suppress, contextmanager
from pathlib import Path
from traceback import format_exception
from typing import List, Dict, Any
from model_analyzer.model_complexity import ModelComputationalComplexity
from model_analyzer.model_metadata import ModelMetaDa... | 0.773772 | 0.102934 |
import datetime
from unittest.mock import MagicMock
import pytest
from ts_sdk.task.__util_datalake import Datalake, InvalidPathException
from ts_sdk.task.__util_metadata import FIELDS
def test_datalake_update_metadata_tags():
d = Datalake('http://localhost:4569/')
d.s3.head_object = MagicMock(return_value={... | __tests__/unit/test_datalake.py | import datetime
from unittest.mock import MagicMock
import pytest
from ts_sdk.task.__util_datalake import Datalake, InvalidPathException
from ts_sdk.task.__util_metadata import FIELDS
def test_datalake_update_metadata_tags():
d = Datalake('http://localhost:4569/')
d.s3.head_object = MagicMock(return_value={... | 0.422743 | 0.185781 |
from flask import Blueprint, redirect, render_template, request, session, \
url_for
from dietr.models import model
from dietr.utils import login_required
blueprint = Blueprint('roommate', __name__)
@blueprint.route('/roommate/add', methods=['GET', 'POST'])
@login_required
def add():
"""The add... | dietr/views/roommate.py | from flask import Blueprint, redirect, render_template, request, session, \
url_for
from dietr.models import model
from dietr.utils import login_required
blueprint = Blueprint('roommate', __name__)
@blueprint.route('/roommate/add', methods=['GET', 'POST'])
@login_required
def add():
"""The add... | 0.674158 | 0.121895 |
import importlib
import logging
import facepy
from facepy.exceptions import FacebookError
from django.conf import settings
from django.utils import timezone
def get_class(class_name):
module_name, class_name = class_name.rsplit(".", 1)
module = importlib.import_module(module_name)
return getattr(module... | facebook_auth/graph_api.py | import importlib
import logging
import facepy
from facepy.exceptions import FacebookError
from django.conf import settings
from django.utils import timezone
def get_class(class_name):
module_name, class_name = class_name.rsplit(".", 1)
module = importlib.import_module(module_name)
return getattr(module... | 0.552298 | 0.074097 |
import numpy as np
import scipy.special
import torch
import torch.nn as nn
import torch.nn.functional as F
from scipy import optimize
from scipy.special import factorial, gamma, hermitenorm
from ssqueezepy import Wavelet
from timm.models.layers.conv2d_same import conv2d_same
# https://github.com/tomrunia/PyTorchWavel... | datasaurus/src/cwt.py | import numpy as np
import scipy.special
import torch
import torch.nn as nn
import torch.nn.functional as F
from scipy import optimize
from scipy.special import factorial, gamma, hermitenorm
from ssqueezepy import Wavelet
from timm.models.layers.conv2d_same import conv2d_same
# https://github.com/tomrunia/PyTorchWavel... | 0.926711 | 0.616359 |
import datetime
from api.lib.database import Model
from api.extensions import db
# template
class RelationType(Model):
__tablename__ = "c_relation_types"
name = db.Column(db.String(16), index=True)
class CITypeGroup(Model):
__tablename__ = "c_ci_type_groups"
name = db.Column(db.String(32))
c... | api/models/cmdb.py |
import datetime
from api.lib.database import Model
from api.extensions import db
# template
class RelationType(Model):
__tablename__ = "c_relation_types"
name = db.Column(db.String(16), index=True)
class CITypeGroup(Model):
__tablename__ = "c_ci_type_groups"
name = db.Column(db.String(32))
c... | 0.441673 | 0.066176 |
from class_imbalance import *
DROP_COLUMNS = [
'id',
'date_account_created',
'timestamp_first_active',
'date_first_booking',
'gender',
'age',
'signup_method',
'signup_flow',
'language',
'affiliate_channel',
'affiliate_provider',
'first_affiliate_tracked',
'signup_a... | settings.py | from class_imbalance import *
DROP_COLUMNS = [
'id',
'date_account_created',
'timestamp_first_active',
'date_first_booking',
'gender',
'age',
'signup_method',
'signup_flow',
'language',
'affiliate_channel',
'affiliate_provider',
'first_affiliate_tracked',
'signup_a... | 0.354768 | 0.172433 |
from __future__ import absolute_import, division, print_function
import math
import os
os.environ['CUDA_VISIBLE_DEVICES'] = '0'
import datetime
import time
import numpy as np
import scipy.misc
import tensorflow as tf
from tensorflow.contrib import layers
from tensorflow.contrib import losses
from tensorflow.contrib... | workloads/tensorflow/image_generation/main.py |
from __future__ import absolute_import, division, print_function
import math
import os
os.environ['CUDA_VISIBLE_DEVICES'] = '0'
import datetime
import time
import numpy as np
import scipy.misc
import tensorflow as tf
from tensorflow.contrib import layers
from tensorflow.contrib import losses
from tensorflow.contrib... | 0.642769 | 0.127653 |
from tweetloader import TweetLoader
import matplotlib.pyplot as plt
import matplotlib.dates as dates
import pandas as pd
import matplotlib.patches as mpatches
def count_and_plot(raw, ax, start='2016-1-1', end='2016-6-24', freq='D', color='blue'):
df = raw.copy()
df.index = pd.DatetimeIndex(df['created_at'])
... | scripts/twitter_sampling.py | from tweetloader import TweetLoader
import matplotlib.pyplot as plt
import matplotlib.dates as dates
import pandas as pd
import matplotlib.patches as mpatches
def count_and_plot(raw, ax, start='2016-1-1', end='2016-6-24', freq='D', color='blue'):
df = raw.copy()
df.index = pd.DatetimeIndex(df['created_at'])
... | 0.658088 | 0.318936 |
from src import tool
if __name__=='__main__':
tool.check()
import json
from selenium.webdriver.remote.webdriver import WebDriver
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.support import expected_conditions
from config import url
from config import path
from config import conf... | discovery.py | from src import tool
if __name__=='__main__':
tool.check()
import json
from selenium.webdriver.remote.webdriver import WebDriver
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.support import expected_conditions
from config import url
from config import path
from config import conf... | 0.124798 | 0.058966 |
import amulet
import requests
import urllib2
import time
from charmhelpers.contrib.openstack.amulet.deployment import (
OpenStackAmuletDeployment
)
from charmhelpers.contrib.openstack.amulet.utils import (
OpenStackAmuletUtils,
DEBUG,
# ERROR
)
from charmhelpers.core.decorators import (
retry_on... | tests/basic_deployment.py |
import amulet
import requests
import urllib2
import time
from charmhelpers.contrib.openstack.amulet.deployment import (
OpenStackAmuletDeployment
)
from charmhelpers.contrib.openstack.amulet.utils import (
OpenStackAmuletUtils,
DEBUG,
# ERROR
)
from charmhelpers.core.decorators import (
retry_on... | 0.627723 | 0.237002 |
"""
"""
from Queue import Empty
from config import msgs
from hashwrappy.wrapper import Backbone
__author__ = 'donal'
__project__ = 'hashwrappy'
# =======================
# MAIN CLASS: Hashcat CPU
# =======================
class HCWrapper(Backbone):
def __init__(self, *args, **kwargs):
super(HCWrapper, s... | hashwrappy/wrapper_hc.py | """
"""
from Queue import Empty
from config import msgs
from hashwrappy.wrapper import Backbone
__author__ = 'donal'
__project__ = 'hashwrappy'
# =======================
# MAIN CLASS: Hashcat CPU
# =======================
class HCWrapper(Backbone):
def __init__(self, *args, **kwargs):
super(HCWrapper, s... | 0.691602 | 0.285752 |
author_xpaths = [
'//*[(self::a or self::address or self::link or self::p or self::span)][@rel="author" or @class="author" or rel="me"]|//author',
'//*[(self::a or self::span)][contains(@class, "authors") or contains(@class, "author") or contains(@class, "posted-by") or contains(@itemprop, "author")]',
'/... | trafilatura/metaxpaths.py |
author_xpaths = [
'//*[(self::a or self::address or self::link or self::p or self::span)][@rel="author" or @class="author" or rel="me"]|//author',
'//*[(self::a or self::span)][contains(@class, "authors") or contains(@class, "author") or contains(@class, "posted-by") or contains(@itemprop, "author")]',
'/... | 0.387227 | 0.077553 |
import re
import pytest
from context import esperanto_analyzer
from esperanto_analyzer.speech import Word
from esperanto_analyzer.speech import Adverb
from esperanto_analyzer.speech import Adjective
from esperanto_analyzer.speech import Article, InvalidArticleError
from esperanto_analyzer.speech import Conjunction
f... | tests/test_morphological_sentence_analyzer.py |
import re
import pytest
from context import esperanto_analyzer
from esperanto_analyzer.speech import Word
from esperanto_analyzer.speech import Adverb
from esperanto_analyzer.speech import Adjective
from esperanto_analyzer.speech import Article, InvalidArticleError
from esperanto_analyzer.speech import Conjunction
f... | 0.533397 | 0.575349 |
""" Collection related functions """
import bpy
import xrs.filename
import xrs.log
import xrs.mode
import xrs.object
import xrs.select
def collection_has_objects(name):
""" True if the given Collection exists and contains objects """
if name not in bpy.data.collections:
return False
if len(bpy.data.collectio... | blender-add-on/xrs/collection.py | """ Collection related functions """
import bpy
import xrs.filename
import xrs.log
import xrs.mode
import xrs.object
import xrs.select
def collection_has_objects(name):
""" True if the given Collection exists and contains objects """
if name not in bpy.data.collections:
return False
if len(bpy.data.collectio... | 0.508788 | 0.504516 |
import sys
from micropython import const
from stylization import style_func_stream
CRITICAL = const(50)
ERROR = const(40)
WARNING = const(30)
INFO = const(20)
DEBUG = const(10)
NOTSET = const(0)
_level_dict = {
CRITICAL: "CRIT",
ERROR: "ERROR",
WARNING: "WARN",
INFO: "INFO",
DEBUG: "DEBUG",
}
_st... | logging/logging.py | import sys
from micropython import const
from stylization import style_func_stream
CRITICAL = const(50)
ERROR = const(40)
WARNING = const(30)
INFO = const(20)
DEBUG = const(10)
NOTSET = const(0)
_level_dict = {
CRITICAL: "CRIT",
ERROR: "ERROR",
WARNING: "WARN",
INFO: "INFO",
DEBUG: "DEBUG",
}
_st... | 0.576661 | 0.166032 |
import torch
from .detector3d_template import Detector3DTemplate
from ...ops.iou3d_nms import iou3d_nms_utils
from ...ops.roiaware_pool3d import roiaware_pool3d_utils
class Point3DSSD(Detector3DTemplate):
def __init__(self, model_cfg, num_class, dataset):
super().__init__(model_cfg=model_cfg, num_class=n... | build/lib.linux-x86_64-3.8/pcdet/models/detectors/point_3dssd.py | import torch
from .detector3d_template import Detector3DTemplate
from ...ops.iou3d_nms import iou3d_nms_utils
from ...ops.roiaware_pool3d import roiaware_pool3d_utils
class Point3DSSD(Detector3DTemplate):
def __init__(self, model_cfg, num_class, dataset):
super().__init__(model_cfg=model_cfg, num_class=n... | 0.691393 | 0.239727 |
from digsandpaper.sandpaper_utils import load_json_file
import requests
from etk.extractors.glossary_extractor import GlossaryExtractor
from etk.crf_tokenizer import CrfTokenizer
import uuid
__name__ = "ConstraintReMapping"
name = __name__
class ConstraintReMapSimilarity(object):
name = "ConstraintReMapSimilarit... | digsandpaper/coarse/preprocess/constraint_remap_factory.py | from digsandpaper.sandpaper_utils import load_json_file
import requests
from etk.extractors.glossary_extractor import GlossaryExtractor
from etk.crf_tokenizer import CrfTokenizer
import uuid
__name__ = "ConstraintReMapping"
name = __name__
class ConstraintReMapSimilarity(object):
name = "ConstraintReMapSimilarit... | 0.568536 | 0.108001 |
class LinkedList:
def __init__(self, value=None):
self.value = value
self.next = None
self._len = 1 if value is not None else 0
def __getitem__(self, item):
if 0 <= item < self._len:
t = self
for _ in range(item):
t = t.next
re... | types/LinkedList.py | class LinkedList:
def __init__(self, value=None):
self.value = value
self.next = None
self._len = 1 if value is not None else 0
def __getitem__(self, item):
if 0 <= item < self._len:
t = self
for _ in range(item):
t = t.next
re... | 0.68342 | 0.223589 |
""" Indexer functions for ELMo-style character embeddings. """
from typing import Dict, List, Callable, Any
import torch
PADDING_VALUE = 0
def _make_bos_eos(
character: int,
padding_character: int,
beginning_of_word_character: int,
end_of_word_character: int,
max_word_length:... | utils/character_cnn.py |
""" Indexer functions for ELMo-style character embeddings. """
from typing import Dict, List, Callable, Any
import torch
PADDING_VALUE = 0
def _make_bos_eos(
character: int,
padding_character: int,
beginning_of_word_character: int,
end_of_word_character: int,
max_word_length:... | 0.860134 | 0.382574 |
import copy
import numpy as np
import pints
from scipy.integrate import solve_ivp
class ForwardModel(pints.ForwardModel):
"""
Abstract base class for forward models.
Extends :class:`pints.ForwardModel`.
"""
def __init__(self):
super(ForwardModel, self).__init__()
def n_outputs(self... | seirmo/_models.py |
import copy
import numpy as np
import pints
from scipy.integrate import solve_ivp
class ForwardModel(pints.ForwardModel):
"""
Abstract base class for forward models.
Extends :class:`pints.ForwardModel`.
"""
def __init__(self):
super(ForwardModel, self).__init__()
def n_outputs(self... | 0.899213 | 0.623535 |
import os
import numpy as np
from scipy import ndimage
from scipy import fftpack as fp
from matplotlib import pyplot, cm
from PIL import Image
from flask import Blueprint, render_template, url_for, send_file
from flask import redirect, request, g, current_app
from .util import get_image_path, get_no_image_path, cl... | app/main/views.py | import os
import numpy as np
from scipy import ndimage
from scipy import fftpack as fp
from matplotlib import pyplot, cm
from PIL import Image
from flask import Blueprint, render_template, url_for, send_file
from flask import redirect, request, g, current_app
from .util import get_image_path, get_no_image_path, cl... | 0.431345 | 0.162912 |
from hfc.fabric import Client
from time import sleep
import pymongo
from bson.py3compat import (_unicode)
database_host = "mongo:27017"
# cli = Client(net_profile="test/fixtures/network.json")
cli = Client(net_profile="test/fixtures/network-k8s.json")
org1_admin = cli.get_user(org_name='org1.example.com', name='Admin'... | polling.py | from hfc.fabric import Client
from time import sleep
import pymongo
from bson.py3compat import (_unicode)
database_host = "mongo:27017"
# cli = Client(net_profile="test/fixtures/network.json")
cli = Client(net_profile="test/fixtures/network-k8s.json")
org1_admin = cli.get_user(org_name='org1.example.com', name='Admin'... | 0.262936 | 0.107531 |
import flask
import loguru
class Logger:
def __init__(self):
self.logger = self._init_logger()
@staticmethod
def _init_logger():
loguru.logger.add(
"../logs/debug.log",
format="{time} {level} {message}",
filter=lambda record: record["level"].name == "DE... | src/_logger.py | import flask
import loguru
class Logger:
def __init__(self):
self.logger = self._init_logger()
@staticmethod
def _init_logger():
loguru.logger.add(
"../logs/debug.log",
format="{time} {level} {message}",
filter=lambda record: record["level"].name == "DE... | 0.568176 | 0.12031 |
import sys
sys.path.append("..")
import pytest
import numpy as np
import iSBatch as rqs
def write_cost_to_file(fct_name, param, *args):
fname = ":".join(fct_name.split("_")[1:])
with open("metrics.perf", 'a') as fp:
fp.write("cost %s %s %s\n" % (
fname, str(param),
' '.join([st... | benchmarks/benchmark.py | import sys
sys.path.append("..")
import pytest
import numpy as np
import iSBatch as rqs
def write_cost_to_file(fct_name, param, *args):
fname = ":".join(fct_name.split("_")[1:])
with open("metrics.perf", 'a') as fp:
fp.write("cost %s %s %s\n" % (
fname, str(param),
' '.join([st... | 0.263789 | 0.417034 |
import csv
import pandas as pd
import numpy as np
# Decorator for printing function results. We return a results value to enable
# automated testing of the methods upon refactoring.
def output_decorator(func):
def inner(*args, **kwargs):
print(f'{func.__name__} is now started')
t = func(*args, **k... | samples/Test_Procedures.py | import csv
import pandas as pd
import numpy as np
# Decorator for printing function results. We return a results value to enable
# automated testing of the methods upon refactoring.
def output_decorator(func):
def inner(*args, **kwargs):
print(f'{func.__name__} is now started')
t = func(*args, **k... | 0.358465 | 0.313394 |
from tests import TestBase
import json, os, uuid
"""
Authentication flow and Account registration test
Testing flow:
3 testing classes:
login:
- failed testcase 1: user doe not exist
- failed testcase 2: user doe not exist and missing required columns
- failed testcase 3: user exists but missing require... | backend/tests/test_auth_user.py | from tests import TestBase
import json, os, uuid
"""
Authentication flow and Account registration test
Testing flow:
3 testing classes:
login:
- failed testcase 1: user doe not exist
- failed testcase 2: user doe not exist and missing required columns
- failed testcase 3: user exists but missing require... | 0.275032 | 0.461259 |
import os
ROOT_DIR = os.path.dirname(os.path.abspath(__file__))
USER_EMOJI = [':smiley_cat:', ':smiling_imp:', ':panda_face:', ':dog:']
FONT_DIR = os.path.join(ROOT_DIR, "font", "Fira_Code", "static")
IMAGE_DIR = os.path.join(ROOT_DIR, "images")
FONT_PATH = os.path.join(FONT_DIR, "FiraCode-Medium.ttf")
COLOR = ['alice... | settings.py | import os
ROOT_DIR = os.path.dirname(os.path.abspath(__file__))
USER_EMOJI = [':smiley_cat:', ':smiling_imp:', ':panda_face:', ':dog:']
FONT_DIR = os.path.join(ROOT_DIR, "font", "Fira_Code", "static")
IMAGE_DIR = os.path.join(ROOT_DIR, "images")
FONT_PATH = os.path.join(FONT_DIR, "FiraCode-Medium.ttf")
COLOR = ['alice... | 0.328637 | 0.118589 |
from threading import Thread,currentThread, Lock, RLock, Semaphore
import requests
import os
semaphore = Semaphore(0)
hasilperhitungan=0
class zanwarRewrite (Thread):
def __init__(self,name,thread_number,filename):
Thread.__init__(self)
self.threadLock = Lock()
self.name = name
self... | Chapter02/ZanwarDua1184050.py | from threading import Thread,currentThread, Lock, RLock, Semaphore
import requests
import os
semaphore = Semaphore(0)
hasilperhitungan=0
class zanwarRewrite (Thread):
def __init__(self,name,thread_number,filename):
Thread.__init__(self)
self.threadLock = Lock()
self.name = name
self... | 0.213869 | 0.06832 |
from .PyPolyBoRi import (Monomial, random_set, Polynomial,
set_random_seed, ll_red_nf_redsb, Variable)
from .ll import ll_encode
from random import Random
from pprint import pformat
from .blocks import declare_ring
def gen_random_poly(ring, l, deg, vars_set, seed=123):
"""
Generate a ... | src/sage/rings/polynomial/pbori/randompoly.py | from .PyPolyBoRi import (Monomial, random_set, Polynomial,
set_random_seed, ll_red_nf_redsb, Variable)
from .ll import ll_encode
from random import Random
from pprint import pformat
from .blocks import declare_ring
def gen_random_poly(ring, l, deg, vars_set, seed=123):
"""
Generate a ... | 0.667473 | 0.574216 |
from math import sin, cos, asin, atan, atan2, sqrt, pi, degrees
import array
try:
import utime as time
except ImportError:
import time
class D3D:
def __init__(self, timediff=None):
pass
def getAngleXYZ(self, acceleration, magnetic):
AccX, AccY, AccZ = acceleration
magX, magY, magZ = magnetic... | assets/py/tools/d3d.py | from math import sin, cos, asin, atan, atan2, sqrt, pi, degrees
import array
try:
import utime as time
except ImportError:
import time
class D3D:
def __init__(self, timediff=None):
pass
def getAngleXYZ(self, acceleration, magnetic):
AccX, AccY, AccZ = acceleration
magX, magY, magZ = magnetic... | 0.757256 | 0.600716 |
from rest_framework import status
from rest_framework.response import Response
from rest_framework.views import APIView
from jobs import utils as jobs_utils
from . import serializers
class CreateChannelView(APIView):
"""
Handles channel creation in Django models.
"""
def post(self, request, *args, **... | services/app/src/channels_app/views.py | from rest_framework import status
from rest_framework.response import Response
from rest_framework.views import APIView
from jobs import utils as jobs_utils
from . import serializers
class CreateChannelView(APIView):
"""
Handles channel creation in Django models.
"""
def post(self, request, *args, **... | 0.85269 | 0.108001 |
from pyomo.environ import *
model = m = ConcreteModel()
m.b1 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b2 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b3 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b4 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b5 = Var(within=Binary,bounds=(0,1),initialize=0)... | tests/examples/minlplib/graphpart_3pm-0244-0244.py |
from pyomo.environ import *
model = m = ConcreteModel()
m.b1 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b2 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b3 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b4 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b5 = Var(within=Binary,bounds=(0,1),initialize=0)... | 0.620162 | 0.25801 |
from typing import Iterable, Tuple
from bitarray import bitarray
from . import TimestampsEncoder
from . import ValuesEncoder
from .result import PairsGorillaContent
class PairsEncoder:
"""Gorilla Pairs (Timestamp-Value) Encoder.
Parameters
----------
float_format : {{'f64', 'f32', 'f16'}}, default '... | src/gorillacompression/encode.py | from typing import Iterable, Tuple
from bitarray import bitarray
from . import TimestampsEncoder
from . import ValuesEncoder
from .result import PairsGorillaContent
class PairsEncoder:
"""Gorilla Pairs (Timestamp-Value) Encoder.
Parameters
----------
float_format : {{'f64', 'f32', 'f16'}}, default '... | 0.954212 | 0.583203 |
"""Tests for pytestrunner.py"""
# Standard library imports
import os
import os.path as osp
# Third party imports
import pytest
from qtpy.QtCore import QByteArray
# Local imports
from spyder_unittest.backend.pytestrunner import (PyTestRunner,
logreport_to_testresult)
... | spyder_unittest/backend/tests/test_pytestrunner.py | """Tests for pytestrunner.py"""
# Standard library imports
import os
import os.path as osp
# Third party imports
import pytest
from qtpy.QtCore import QByteArray
# Local imports
from spyder_unittest.backend.pytestrunner import (PyTestRunner,
logreport_to_testresult)
... | 0.602062 | 0.50415 |
import abc
from neutron.api import extensions
from neutron.api.v2 import attributes as attr
from neutron.api.v2 import base
from neutron.common import exceptions
from neutron import manager
# Attribute Map
RESOURCE_NAME = 'availability_zone'
AVAILABILITY_ZONES = 'availability_zones'
# name: name of availability zon... | neutron/extensions/availability_zone.py |
import abc
from neutron.api import extensions
from neutron.api.v2 import attributes as attr
from neutron.api.v2 import base
from neutron.common import exceptions
from neutron import manager
# Attribute Map
RESOURCE_NAME = 'availability_zone'
AVAILABILITY_ZONES = 'availability_zones'
# name: name of availability zon... | 0.802168 | 0.07393 |
import time
import logging
try:
from fortrace.core.vmm import Vmm
from fortrace.utility.logger_helper import create_logger
from fortrace.core.vmm import GuestListener
from fortrace.core.reporter import Reporter
import fortrace.utility.scenarioHelper as scenH
except ImportError as ie:
print("Imp... | examples/ModuleTests/008_mailClientThunderbird.py | import time
import logging
try:
from fortrace.core.vmm import Vmm
from fortrace.utility.logger_helper import create_logger
from fortrace.core.vmm import GuestListener
from fortrace.core.reporter import Reporter
import fortrace.utility.scenarioHelper as scenH
except ImportError as ie:
print("Imp... | 0.178204 | 0.067301 |
from dataclasses import dataclass
from typing import List, Dict
from discord.ext import commands
from bs4 import BeautifulSoup
import bs4
import discord
from bot.bot_client import Bot
from bot.utils.context import Context
@dataclass
class PlayerData:
rank: int
name: str
exp_gained: int
@dataclass
clas... | bot/cogs/runeclan.py | from dataclasses import dataclass
from typing import List, Dict
from discord.ext import commands
from bs4 import BeautifulSoup
import bs4
import discord
from bot.bot_client import Bot
from bot.utils.context import Context
@dataclass
class PlayerData:
rank: int
name: str
exp_gained: int
@dataclass
clas... | 0.705886 | 0.169784 |
import os
import sys
import logging
import argparse
from importlib import import_module
import multiprocessing
import numpy
import matplotlib
matplotlib.use("Agg")
import matplotlib.pyplot as pyplot
import matplotlib_extras.colors
import h5py # avoid gdal loading incompatible HDF5 library
from eewperformance import ... | analyzer.py |
import os
import sys
import logging
import argparse
from importlib import import_module
import multiprocessing
import numpy
import matplotlib
matplotlib.use("Agg")
import matplotlib.pyplot as pyplot
import matplotlib_extras.colors
import h5py # avoid gdal loading incompatible HDF5 library
from eewperformance import ... | 0.535098 | 0.146667 |
from tasks.hierarchy import (DenormalizedHierarchy, Hierarchy, HierarchyChildParentsUnion, HierarchyInfoUnion,
HierarchyChildParent, GetParentsFunction, LevelHierarchy, LevelInfo)
from tasks.ca.statcan.geo import (GEO_PR, GEO_CD, GEO_FSA, GEO_CMA, GEO_CSD, GEO_DA, GEO_CT, GEO_DB,
... | tasks/ca/hierarchy.py | from tasks.hierarchy import (DenormalizedHierarchy, Hierarchy, HierarchyChildParentsUnion, HierarchyInfoUnion,
HierarchyChildParent, GetParentsFunction, LevelHierarchy, LevelInfo)
from tasks.ca.statcan.geo import (GEO_PR, GEO_CD, GEO_FSA, GEO_CMA, GEO_CSD, GEO_DA, GEO_CT, GEO_DB,
... | 0.780244 | 0.440469 |