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 |
|---|---|---|---|---|
from itertools import product
from LAMARCK_ML.data_util import IOLabel
from LAMARCK_ML.reproduction.methods import Mutation, Recombination, RandomStep
from LAMARCK_ML.architectures.losses import Reduce, LossInterface
from LAMARCK_ML.architectures.losses import SoftmaxCrossEntropyWithLogits, MeanSquaredError
from LAMAR... | LAMARCK_ML/individuals/implementations/weightAgnosticIndividual.py | from itertools import product
from LAMARCK_ML.data_util import IOLabel
from LAMARCK_ML.reproduction.methods import Mutation, Recombination, RandomStep
from LAMARCK_ML.architectures.losses import Reduce, LossInterface
from LAMARCK_ML.architectures.losses import SoftmaxCrossEntropyWithLogits, MeanSquaredError
from LAMAR... | 0.735926 | 0.377541 |
import pytest
from grunt.db import get_db
def test_character_index(client, auth):
response = client.get('/')
assert b"Log In" in response.data
assert b"Register" in response.data
auth.login()
response = client.get('/')
assert b'Log Out' in response.data
assert b'test title' in response.da... | tests/test_character.py | import pytest
from grunt.db import get_db
def test_character_index(client, auth):
response = client.get('/')
assert b"Log In" in response.data
assert b"Register" in response.data
auth.login()
response = client.get('/')
assert b'Log Out' in response.data
assert b'test title' in response.da... | 0.450601 | 0.306281 |
from django.test import TestCase
from dcim.models import Platform
from netbox_onboarding.onboard import NetdevKeeper, OnboardException
class NetdevKeeperTestCase(TestCase):
"""Test the NetdevKeeper Class."""
def setUp(self):
"""Create a superuser and token for API calls."""
self.platform1 = ... | netbox_onboarding/tests/test_netdev_keeper.py | from django.test import TestCase
from dcim.models import Platform
from netbox_onboarding.onboard import NetdevKeeper, OnboardException
class NetdevKeeperTestCase(TestCase):
"""Test the NetdevKeeper Class."""
def setUp(self):
"""Create a superuser and token for API calls."""
self.platform1 = ... | 0.704973 | 0.293835 |
"""Tests for xls.tools.delay_info_main."""
import subprocess
from xls.common import runfiles
from xls.common import test_base
DELAY_INFO_MAIN_PATH = runfiles.get_path('xls/tools/delay_info_main')
NOT_ADD_IR = """package not_add
fn not_add(x: bits[32], y: bits[32]) -> bits[32] {
sum: bits[32] = add(x, y)
ret no... | xls/tools/delay_info_main_test.py | """Tests for xls.tools.delay_info_main."""
import subprocess
from xls.common import runfiles
from xls.common import test_base
DELAY_INFO_MAIN_PATH = runfiles.get_path('xls/tools/delay_info_main')
NOT_ADD_IR = """package not_add
fn not_add(x: bits[32], y: bits[32]) -> bits[32] {
sum: bits[32] = add(x, y)
ret no... | 0.620162 | 0.282976 |
from optparse import OptionParser
import simplejson
import structlog
from kafka import KafkaConsumer
import pickle
import struct
import socket
import sys
import time
from kafka.consumer.fetcher import ConsumerRecord
from kafka.errors import KafkaError
from common.utils.consulhelpers import get_endpoint_from_consul
... | shovel/main.py | from optparse import OptionParser
import simplejson
import structlog
from kafka import KafkaConsumer
import pickle
import struct
import socket
import sys
import time
from kafka.consumer.fetcher import ConsumerRecord
from kafka.errors import KafkaError
from common.utils.consulhelpers import get_endpoint_from_consul
... | 0.444565 | 0.087994 |
from __future__ import print_function
import os
import sys
from command import Command
from git_config import IsImmutable
from git_command import git
import gitc_utils
from progress import Progress
from project import SyncBuffer
class Start(Command):
common = True
helpSummary = "Start a new branch for developmen... | subcmds/start.py |
from __future__ import print_function
import os
import sys
from command import Command
from git_config import IsImmutable
from git_command import git
import gitc_utils
from progress import Progress
from project import SyncBuffer
class Start(Command):
common = True
helpSummary = "Start a new branch for developmen... | 0.325735 | 0.076408 |
from tasks.tags import SubsectionTags, SectionTags, UnitTags
from tasks.meta import (GEOM_REF, current_session, GEOM_NAME, OBSColumn)
from tasks.util import ColumnsTask, TableTask, Carto2TempTableTask, MetaWrapper
from collections import OrderedDict
class ImportThai(Carto2TempTableTask):
subdomain = 'solutions'
... | tasks/th/thaipop.py | from tasks.tags import SubsectionTags, SectionTags, UnitTags
from tasks.meta import (GEOM_REF, current_session, GEOM_NAME, OBSColumn)
from tasks.util import ColumnsTask, TableTask, Carto2TempTableTask, MetaWrapper
from collections import OrderedDict
class ImportThai(Carto2TempTableTask):
subdomain = 'solutions'
... | 0.659953 | 0.349477 |
import os,sys
import datetime
import time
from schainpy.controller import Project
path = '/home/alex/Downloads/NEW_WR2/spc16removeDC'
figpath = path
desc = "Simulator Test"
controllerObj = Project()
controllerObj.setup(id='10',name='Test Simulator',description=desc)
readUnitConfObj = controllerObj.ad... | schainpy/scripts/test_sim0008.py | import os,sys
import datetime
import time
from schainpy.controller import Project
path = '/home/alex/Downloads/NEW_WR2/spc16removeDC'
figpath = path
desc = "Simulator Test"
controllerObj = Project()
controllerObj.setup(id='10',name='Test Simulator',description=desc)
readUnitConfObj = controllerObj.ad... | 0.28577 | 0.048699 |
from PIL import Image, ImageOps
import numpy as np
import skimage.io as io
from src.models.class_patcher import patcher
from src.utils.imgproc import *
from skimage.color import rgb2hsv, hsv2rgb
class patcher(patcher):
def __init__(self, body='./body/body_kyoko.png', **options):
super().__init__('京狐', bod... | src/models/kyoko.py | from PIL import Image, ImageOps
import numpy as np
import skimage.io as io
from src.models.class_patcher import patcher
from src.utils.imgproc import *
from skimage.color import rgb2hsv, hsv2rgb
class patcher(patcher):
def __init__(self, body='./body/body_kyoko.png', **options):
super().__init__('京狐', bod... | 0.383295 | 0.234056 |
from __future__ import division
import numpy as np
from scipy.constants import mu_0, pi, epsilon_0
from scipy.special import erf
from SimPEG import utils
import warnings
def hzAnalyticDipoleF(r, freq, sigma, secondary=True, mu=mu_0):
"""
The analytical expression is given in Equation 4.56 in Ward and Hohmann,... | SimPEG/electromagnetics/analytics/FDEM.py | from __future__ import division
import numpy as np
from scipy.constants import mu_0, pi, epsilon_0
from scipy.special import erf
from SimPEG import utils
import warnings
def hzAnalyticDipoleF(r, freq, sigma, secondary=True, mu=mu_0):
"""
The analytical expression is given in Equation 4.56 in Ward and Hohmann,... | 0.648021 | 0.535098 |
import numpy, cdtime, vcs
from vcs.testing.common import test_values_setting
x=vcs.init()
x.drawlogooff()
p=x.createprojection()
assert(p.type == "linear")
assert(vcs.queries.isprojection(p))
test_values_setting(p, "type", [-1,-2,-3,'linear', 'albers equal area', 'lambert', 'mercator', 'polar', 'polyconic', 'equid c... | testing/vcs/test_vcs_verify_proj_basics.py | import numpy, cdtime, vcs
from vcs.testing.common import test_values_setting
x=vcs.init()
x.drawlogooff()
p=x.createprojection()
assert(p.type == "linear")
assert(vcs.queries.isprojection(p))
test_values_setting(p, "type", [-1,-2,-3,'linear', 'albers equal area', 'lambert', 'mercator', 'polar', 'polyconic', 'equid c... | 0.282493 | 0.557665 |
from direct.directnotify import DirectNotifyGlobal
from direct.distributed.DistributedObjectAI import DistributedObjectAI
from toontown.toonbase import ToontownGlobals
from toontown.catalog import CatalogItem
from toontown.catalog.CatalogItemList import CatalogItemList
from toontown.catalog.CatalogPoleItem import Catal... | v2.5.7/toontown/coderedemption/TTCodeRedemptionMgrAI.py | from direct.directnotify import DirectNotifyGlobal
from direct.distributed.DistributedObjectAI import DistributedObjectAI
from toontown.toonbase import ToontownGlobals
from toontown.catalog import CatalogItem
from toontown.catalog.CatalogItemList import CatalogItemList
from toontown.catalog.CatalogPoleItem import Catal... | 0.427636 | 0.104295 |
from ghpythonlib.componentbase import dotnetcompiledcomponent as component
import Grasshopper, GhPython
import System
from Grasshopper import DataTree
from Grasshopper.Kernel.Data import GH_Path
__author__ = "<NAME>"
__laboratory__ = "IBOIS, Laboratory for Timber Construction"
__university__ = "EPFL, Ecole ... | Gh compilation files/contact.py |
from ghpythonlib.componentbase import dotnetcompiledcomponent as component
import Grasshopper, GhPython
import System
from Grasshopper import DataTree
from Grasshopper.Kernel.Data import GH_Path
__author__ = "<NAME>"
__laboratory__ = "IBOIS, Laboratory for Timber Construction"
__university__ = "EPFL, Ecole ... | 0.397938 | 0.10004 |
import json
import os
from decouple import config
DEBUG = False
TEMPLATE_DEBUG = False
secrets_dir = "/tmp/secrets"
db_creds_file = open(f"{secrets_dir}/db.json")
env_file = open(f"{secrets_dir}/env.json")
db_creds = json.load(db_creds_file)["data"]
env = json.load(env_file)["data"]["data"]
DATABASES = {
"defa... | onlineweb4/settings/zappa.py | import json
import os
from decouple import config
DEBUG = False
TEMPLATE_DEBUG = False
secrets_dir = "/tmp/secrets"
db_creds_file = open(f"{secrets_dir}/db.json")
env_file = open(f"{secrets_dir}/env.json")
db_creds = json.load(db_creds_file)["data"]
env = json.load(env_file)["data"]["data"]
DATABASES = {
"defa... | 0.137475 | 0.099426 |
import io
import random
from tempest.api.compute import base
from tempest.common import image as common_image
from tempest.common import utils
from tempest import config
from tempest.lib.common.utils import data_utils
from tempest.lib import decorators
from tempest.lib import exceptions as lib_exc
CONF = config.CONF... | tempest/api/compute/flavors/test_flavors_negative.py |
import io
import random
from tempest.api.compute import base
from tempest.common import image as common_image
from tempest.common import utils
from tempest import config
from tempest.lib.common.utils import data_utils
from tempest.lib import decorators
from tempest.lib import exceptions as lib_exc
CONF = config.CONF... | 0.403449 | 0.284576 |
import random
import string
import subprocess
import sys
import tempfile
from contextlib import contextmanager
from pathlib import Path
from textwrap import dedent
from typing import List, Tuple
from feast import cli
from feast.feature_store import FeatureStore
def get_example_repo(example_repo_py) -> str:
paren... | sdk/python/tests/utils/cli_utils.py | import random
import string
import subprocess
import sys
import tempfile
from contextlib import contextmanager
from pathlib import Path
from textwrap import dedent
from typing import List, Tuple
from feast import cli
from feast.feature_store import FeatureStore
def get_example_repo(example_repo_py) -> str:
paren... | 0.511961 | 0.226912 |
import scrapy
from crawlerbot.items import TgItem
import json
import re
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
import os
from crawlerbot.district_names import dist... | crawlerbot/spiders/thrent.py | import scrapy
from crawlerbot.items import TgItem
import json
import re
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
import os
from crawlerbot.district_names import dist... | 0.124559 | 0.088269 |
import numpy as np
from .core import SpectrumBasedEstimatorBase, ensure_covariance_size
def f_bartlett(A, R):
r"""Computes the spectrum output of the Bartlett beamformer.
.. math::
P_{\mathrm{Bartlett}}(\theta)
= \mathbf{a}(\theta)^H \mathbf{R} \mathbf{a}(\theta)
Args:
A: m x k st... | doatools/estimation/beamforming.py | import numpy as np
from .core import SpectrumBasedEstimatorBase, ensure_covariance_size
def f_bartlett(A, R):
r"""Computes the spectrum output of the Bartlett beamformer.
.. math::
P_{\mathrm{Bartlett}}(\theta)
= \mathbf{a}(\theta)^H \mathbf{R} \mathbf{a}(\theta)
Args:
A: m x k st... | 0.959639 | 0.824956 |
import csv
import gzip
import casanova
import pytest
import time
import sys
from io import StringIO
from collections import defaultdict
from quenouille import imap_unordered
from test.utils import collect_csv
from casanova.resuming import (
LastCellComparisonResumer,
RowCountResumer,
ThreadSafeResumer
)
f... | test/enricher_test.py | import csv
import gzip
import casanova
import pytest
import time
import sys
from io import StringIO
from collections import defaultdict
from quenouille import imap_unordered
from test.utils import collect_csv
from casanova.resuming import (
LastCellComparisonResumer,
RowCountResumer,
ThreadSafeResumer
)
f... | 0.238728 | 0.25363 |
import mock
from git_stacktrace.tests import base
from git_stacktrace import api
from git_stacktrace import git
class TestApi(base.TestCase):
@mock.patch('git_stacktrace.git.convert_since')
def test_convert_since(self, mocked_command):
expected = "HASH1..HASH2"
mocked_command.return_value = ... | git_stacktrace/tests/test_api.py | import mock
from git_stacktrace.tests import base
from git_stacktrace import api
from git_stacktrace import git
class TestApi(base.TestCase):
@mock.patch('git_stacktrace.git.convert_since')
def test_convert_since(self, mocked_command):
expected = "HASH1..HASH2"
mocked_command.return_value = ... | 0.596551 | 0.404449 |
import random
import math
import numpy as np
import torch
import torch.nn as nn
import torch.nn.init as init
import torch.nn.functional as F
from torch.nn.modules.distance import CosineSimilarity
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence
from model.attention import Attention
from model.e... | model/mtl_models.py | import random
import math
import numpy as np
import torch
import torch.nn as nn
import torch.nn.init as init
import torch.nn.functional as F
from torch.nn.modules.distance import CosineSimilarity
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence
from model.attention import Attention
from model.e... | 0.826887 | 0.380759 |
import re
import os
import json
import inflect
import nltk
import numpy as np
inflect_eng = inflect.engine()
def get_data_set_info_path(data_folder):
"""
:param data_folder: name of data folder, e.g. 'dataset1'
:return: absolute path to JSON file containing information about data set
"""
return o... | src/data/dataset.py | import re
import os
import json
import inflect
import nltk
import numpy as np
inflect_eng = inflect.engine()
def get_data_set_info_path(data_folder):
"""
:param data_folder: name of data folder, e.g. 'dataset1'
:return: absolute path to JSON file containing information about data set
"""
return o... | 0.385722 | 0.309806 |
from __future__ import absolute_import
from six.moves import range
import os
import numpy as np
from replay_memory import ReplayMemory
from sampler import Sampler, ObsSampler
from learner import QLearner, q_cnn
from explorer import LinearDecayEGreedyExplorer
from trainer import Trainer
from validator import Validato... | reinforcement_learning/dqn/train_atari.py |
from __future__ import absolute_import
from six.moves import range
import os
import numpy as np
from replay_memory import ReplayMemory
from sampler import Sampler, ObsSampler
from learner import QLearner, q_cnn
from explorer import LinearDecayEGreedyExplorer
from trainer import Trainer
from validator import Validato... | 0.650911 | 0.126353 |
from __future__ import absolute_import, print_function, unicode_literals
from builtins import dict, str
import os
from copy import deepcopy
from indra.preassembler.hierarchy_manager import hierarchies, HierarchyManager
from indra.statements import get_valid_location, InvalidLocationError, Agent
from indra.util import u... | indra/tests/test_hierarchy_manager.py | from __future__ import absolute_import, print_function, unicode_literals
from builtins import dict, str
import os
from copy import deepcopy
from indra.preassembler.hierarchy_manager import hierarchies, HierarchyManager
from indra.statements import get_valid_location, InvalidLocationError, Agent
from indra.util import u... | 0.584153 | 0.478041 |
import string
import numpy as np
import re
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.feature_extraction.text import TfidfVectorizer
from nltk import word_tokenize
from nltk.corpus import stopwords
from nltk.stem import WordNetLemmatizer
def preprocess(X):
X = X.lower()
... | notebooks/preprocessing.py | import string
import numpy as np
import re
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.feature_extraction.text import TfidfVectorizer
from nltk import word_tokenize
from nltk.corpus import stopwords
from nltk.stem import WordNetLemmatizer
def preprocess(X):
X = X.lower()
... | 0.269999 | 0.385606 |
import logging
from rest_framework import exceptions
from django.core.exceptions import ObjectDoesNotExist
from django.contrib.auth.models import AnonymousUser
from django.contrib.auth import get_user_model
from galaxy.api import serializers
from galaxy.api.views import base_views
from galaxy.main import models
__... | galaxy/api/views/users.py | import logging
from rest_framework import exceptions
from django.core.exceptions import ObjectDoesNotExist
from django.contrib.auth.models import AnonymousUser
from django.contrib.auth import get_user_model
from galaxy.api import serializers
from galaxy.api.views import base_views
from galaxy.main import models
__... | 0.481698 | 0.03605 |
import json
from loaders.base import Loader
"""
Dump everything in the format:
type 0 ascii str - "a:string"
type 1 float num - 123
type 2 utf16 str - "u:string"
ex:
{
"some_key": ["u:äöõö", 123, "a:hello", ...],
"some_other_key": [956, "a:halo", ...],
...
}
"""
class CSVLoader(Loader):
def read(s... | loaders/csv.py | import json
from loaders.base import Loader
"""
Dump everything in the format:
type 0 ascii str - "a:string"
type 1 float num - 123
type 2 utf16 str - "u:string"
ex:
{
"some_key": ["u:äöõö", 123, "a:hello", ...],
"some_other_key": [956, "a:halo", ...],
...
}
"""
class CSVLoader(Loader):
def read(s... | 0.219505 | 0.300779 |
from fastapi.testclient import TestClient
import json
import pytest
from openapi_server.models.user import User
def test_create_user(client: TestClient):
"""Test case for create_user
Create user
"""
user = {"first_name":"firstName","last_name":"lastName","password":"password","user_status":6,"phon... | samples/server/petstore/python-fastapi/tests/test_user_api.py |
from fastapi.testclient import TestClient
import json
import pytest
from openapi_server.models.user import User
def test_create_user(client: TestClient):
"""Test case for create_user
Create user
"""
user = {"first_name":"firstName","last_name":"lastName","password":"password","user_status":6,"phon... | 0.497803 | 0.376652 |
__author__ = '<NAME> <<EMAIL>>'
__copyright__ = 'Copyright (c) 2012, SvartalF'
__license__ = 'BSD 3-Clause License'
import opuslib.api.decoder
import opuslib.api.encoder
import opuslib.api.ctl
import opuslib.constants
class Decoder(object):
def __init__(self, fs, channels):
"""
Parameters:
... | opuslib/classes.py | __author__ = '<NAME> <<EMAIL>>'
__copyright__ = 'Copyright (c) 2012, SvartalF'
__license__ = 'BSD 3-Clause License'
import opuslib.api.decoder
import opuslib.api.encoder
import opuslib.api.ctl
import opuslib.constants
class Decoder(object):
def __init__(self, fs, channels):
"""
Parameters:
... | 0.761538 | 0.24434 |
import os
import re
__docformat__ = "restructredtext en"
# map eland_result.txt sense
sense_map = {'F': '+', 'R': '-'}
sense_color = {'F': '0,0,255', 'R': '255,255,0'}
def create_bed_header(name, description):
"""
Produce the headerline for a bedfile
"""
# provide default track names
if name is ... | htsworkflow/util/makebed.py | import os
import re
__docformat__ = "restructredtext en"
# map eland_result.txt sense
sense_map = {'F': '+', 'R': '-'}
sense_color = {'F': '0,0,255', 'R': '255,255,0'}
def create_bed_header(name, description):
"""
Produce the headerline for a bedfile
"""
# provide default track names
if name is ... | 0.670608 | 0.285979 |
the way."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from datetime import datetime
import json
import os
import re
import shutil
from timeit import default_timer as timer
import tensorflow as tf
import numpy as np
from tensorflow.examples.tutorial... | Fashion-MNIST/train_attribution.py | the way."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from datetime import datetime
import json
import os
import re
import shutil
from timeit import default_timer as timer
import tensorflow as tf
import numpy as np
from tensorflow.examples.tutorial... | 0.82425 | 0.332161 |
import re
import abc
import asyncio
import logging
import websockets
from .enums import ReplyCode, EventType
from .errors import *
from .events import Event
from .utils import insort, LineBuffer, SortedHandler, IRCPrefix
__all__ = ("Server", "DefaultServer")
log = logging.getLogger("airc.server")
_cap_subcommands ... | airc/server.py | import re
import abc
import asyncio
import logging
import websockets
from .enums import ReplyCode, EventType
from .errors import *
from .events import Event
from .utils import insort, LineBuffer, SortedHandler, IRCPrefix
__all__ = ("Server", "DefaultServer")
log = logging.getLogger("airc.server")
_cap_subcommands ... | 0.283881 | 0.101322 |
import unittest
import collections
from runtime import env, ast, lib
INT_VALUE = env.Value(lib.INTEGER, 1, "x")
FLOAT_VALUE = env.Value(lib.FLOAT, 1.0, "y")
STRING_VALUE = env.Value(lib.STRING, "Hello", "identifier")
LIST_VALUE = env.Value(lib.LIST, ["H", "e", "l", "l", "o"])
SET_VALUE = env.Value(lib.SET, set(LIST_VA... | runtime/test_env.py | import unittest
import collections
from runtime import env, ast, lib
INT_VALUE = env.Value(lib.INTEGER, 1, "x")
FLOAT_VALUE = env.Value(lib.FLOAT, 1.0, "y")
STRING_VALUE = env.Value(lib.STRING, "Hello", "identifier")
LIST_VALUE = env.Value(lib.LIST, ["H", "e", "l", "l", "o"])
SET_VALUE = env.Value(lib.SET, set(LIST_VA... | 0.691185 | 0.393269 |
def solve_part_1(inputlist : list) -> int:
#Current position of the program counter
pc = 0
while (pc < len(inputlist) and pc != -1):
pc = execute_opcode(inputlist, pc)
return inputlist[0]
def solve_part_2(inputlist: list) -> int:
desired_output = 19690720
for noun in range(... | door_05/solution.py | def solve_part_1(inputlist : list) -> int:
#Current position of the program counter
pc = 0
while (pc < len(inputlist) and pc != -1):
pc = execute_opcode(inputlist, pc)
return inputlist[0]
def solve_part_2(inputlist: list) -> int:
desired_output = 19690720
for noun in range(... | 0.373876 | 0.508849 |
from __future__ import absolute_import
from __future__ import print_function
import veriloggen
import fsm_state
expected_verilog = """
module test;
reg CLK;
reg RST;
wire valid;
blinkled
uut
(
.CLK(CLK),
.RST(RST),
.valid(valid)
);
initial begin
CLK = 0;
forever begin
#5 C... | tests/extension/fsm_/state/test_fsm_state.py | from __future__ import absolute_import
from __future__ import print_function
import veriloggen
import fsm_state
expected_verilog = """
module test;
reg CLK;
reg RST;
wire valid;
blinkled
uut
(
.CLK(CLK),
.RST(RST),
.valid(valid)
);
initial begin
CLK = 0;
forever begin
#5 C... | 0.344885 | 0.278459 |
from __future__ import print_function
import os
import sys
import threading
import time
from argparse import ArgumentParser
from DBSAPI.dbsApi import DbsApi
from WMCore.WMSpec.StdSpecs.Harvesting import harvestingWorkload, getTestArguments
from WMCore.DataStructs.Run import Run
from WMCore.WMBS.File import File
from... | etc/harvestingInjector.py | from __future__ import print_function
import os
import sys
import threading
import time
from argparse import ArgumentParser
from DBSAPI.dbsApi import DbsApi
from WMCore.WMSpec.StdSpecs.Harvesting import harvestingWorkload, getTestArguments
from WMCore.DataStructs.Run import Run
from WMCore.WMBS.File import File
from... | 0.396886 | 0.070656 |
import os
import sys
import argparse
import joblib
import pandas as pd
from azureml.core import Run
from azureml.core.run import Run
from sklearn.compose import ColumnTransformer
from sklearn.impute import SimpleImputer
from sklearn.linear_model import LogisticRegression
from sklearn.model_selection impor... | src/model1/train_register.py | import os
import sys
import argparse
import joblib
import pandas as pd
from azureml.core import Run
from azureml.core.run import Run
from sklearn.compose import ColumnTransformer
from sklearn.impute import SimpleImputer
from sklearn.linear_model import LogisticRegression
from sklearn.model_selection impor... | 0.426799 | 0.172729 |
import pytest
import cocotb
from cocotb.queue import LifoQueue, PriorityQueue, Queue, QueueEmpty, QueueFull
from cocotb.regression import TestFactory
from cocotb.triggers import Combine, NullTrigger
async def run_queue_nonblocking_test(dut, queue_type):
QUEUE_SIZE = 10
q = queue_type(maxsize=QUEUE_SIZE)
... | tests/test_cases/test_cocotb/test_queues.py | import pytest
import cocotb
from cocotb.queue import LifoQueue, PriorityQueue, Queue, QueueEmpty, QueueFull
from cocotb.regression import TestFactory
from cocotb.triggers import Combine, NullTrigger
async def run_queue_nonblocking_test(dut, queue_type):
QUEUE_SIZE = 10
q = queue_type(maxsize=QUEUE_SIZE)
... | 0.496826 | 0.542803 |
import time
import urllib.parse
import json
import re
# 插件模块
import requests
from bs4 import BeautifulSoup
# 自写模块
from CityId import CityIdList
import Tools
# host
host = 'www.meituan.com'
# 关键字
keyWord = '<PASSWORD>'
# 省份名字
provinceName = '江西'
# 城市名字(为空获取整个省)
cityName = '永丰'
# 每次获取个数
number = 32
# 获取的数据总数
count = 0
... | others/python/meituan-demo/demo.py | import time
import urllib.parse
import json
import re
# 插件模块
import requests
from bs4 import BeautifulSoup
# 自写模块
from CityId import CityIdList
import Tools
# host
host = 'www.meituan.com'
# 关键字
keyWord = '<PASSWORD>'
# 省份名字
provinceName = '江西'
# 城市名字(为空获取整个省)
cityName = '永丰'
# 每次获取个数
number = 32
# 获取的数据总数
count = 0
... | 0.071017 | 0.057865 |
import numpy as np
import numpy.linalg as la
from scipy.special import erf, erfinv
from ..util import numerical_types, sequence_types
from .JumpingDistribution import JumpingDistribution
class TruncatedGaussianJumpingDistribution(JumpingDistribution):
"""
Class representing a univariate jumping distribution wh... | distpy/jumping/TruncatedGaussianJumpingDistribution.py | import numpy as np
import numpy.linalg as la
from scipy.special import erf, erfinv
from ..util import numerical_types, sequence_types
from .JumpingDistribution import JumpingDistribution
class TruncatedGaussianJumpingDistribution(JumpingDistribution):
"""
Class representing a univariate jumping distribution wh... | 0.911946 | 0.644253 |
import torch
from torch.utils.data import DataLoader, Dataset, Sampler
import phyre
import numpy as np
import matplotlib.pyplot as plt
import os
INF = 10 ** 20
def dump_img(observation, name):
img = phyre.observations_to_uint8_rgb(observation)
name = "rollout/" + str(name) + ".jpg"
plt.imsave(name, im... | agents/report_web_viewer/dataloader_parallel.py |
import torch
from torch.utils.data import DataLoader, Dataset, Sampler
import phyre
import numpy as np
import matplotlib.pyplot as plt
import os
INF = 10 ** 20
def dump_img(observation, name):
img = phyre.observations_to_uint8_rgb(observation)
name = "rollout/" + str(name) + ".jpg"
plt.imsave(name, im... | 0.554712 | 0.396857 |
from web3 import Web3
import solc
import os
class EthException(Exception):
pass
class BankException(Exception):
pass
class Bank:
""" Our Ethereum bank Web3 implementation. """
def __init__(self, http_url, priv_key):
self._provider = Web3.HTTPProvider(http_url)
self._w3 = Web3(self._provider)
self._account... | tokens/bank.py | from web3 import Web3
import solc
import os
class EthException(Exception):
pass
class BankException(Exception):
pass
class Bank:
""" Our Ethereum bank Web3 implementation. """
def __init__(self, http_url, priv_key):
self._provider = Web3.HTTPProvider(http_url)
self._w3 = Web3(self._provider)
self._account... | 0.442396 | 0.136695 |
import errno
import os
import pytest
import sys
# Import our local xcross.
test_dir = os.path.dirname(os.path.realpath(__file__))
xcross_dir = os.path.dirname(test_dir)
sys.path.insert(0, xcross_dir)
import xcross
os.environ['CROSS_TARGET'] = 'alpha-unknown-linux-gnu'
os.environ['CROSS_WITH_PACKAGE_MANAGERS'] = ''
... | test/test_xcross.py |
import errno
import os
import pytest
import sys
# Import our local xcross.
test_dir = os.path.dirname(os.path.realpath(__file__))
xcross_dir = os.path.dirname(test_dir)
sys.path.insert(0, xcross_dir)
import xcross
os.environ['CROSS_TARGET'] = 'alpha-unknown-linux-gnu'
os.environ['CROSS_WITH_PACKAGE_MANAGERS'] = ''
... | 0.353205 | 0.246196 |
import torch
import numpy as np
import sys
import random
import copy
from torch.autograd import Variable
from common_utils import TestCase, run_tests
from common_device_type import dtypes, instantiate_device_type_tests
from util_test import create_common_tensor
class TestSolve(TestCase):
def generate_data(self, m... | test/test_npu/test_solve.py |
import torch
import numpy as np
import sys
import random
import copy
from torch.autograd import Variable
from common_utils import TestCase, run_tests
from common_device_type import dtypes, instantiate_device_type_tests
from util_test import create_common_tensor
class TestSolve(TestCase):
def generate_data(self, m... | 0.422505 | 0.557725 |
# Standard Library Imports
from itertools import combinations
# Application-specific Imports
from advent_of_code.solvers import solver
class Solver(solver.AdventOfCodeSolver):
"""Advent of Code 2015 Day 17: No Such Thing as Too Much
Attributes:
puzzle_input (list): A list of instructions for solving... | advent_of_code/solvers/day_17.py | # Standard Library Imports
from itertools import combinations
# Application-specific Imports
from advent_of_code.solvers import solver
class Solver(solver.AdventOfCodeSolver):
"""Advent of Code 2015 Day 17: No Such Thing as Too Much
Attributes:
puzzle_input (list): A list of instructions for solving... | 0.837354 | 0.315485 |
import logging, time, json, re
from .utils import camel_case
logger = logging.getLogger(__name__)
# https://support.google.com/tagmanager/answer/7182738?hl=en
# Array.from(str).map( s => s.innerText)
BUILT_IN_VARIABLES_LIST = ["Click Element", "Click Classes", "Click ID", "Click Target", "Click URL", "Click Text",... | gtm_gear/entity.py | import logging, time, json, re
from .utils import camel_case
logger = logging.getLogger(__name__)
# https://support.google.com/tagmanager/answer/7182738?hl=en
# Array.from(str).map( s => s.innerText)
BUILT_IN_VARIABLES_LIST = ["Click Element", "Click Classes", "Click ID", "Click Target", "Click URL", "Click Text",... | 0.231527 | 0.135032 |
import logging
import os
import shutil
import subprocess
from typing import AnyStr
from typing import Dict, Any, List
class FilterModule(object):
"""
FilterModule is an abstraction responsible for providing Golang Template and Sprig Function functionality through
an Ansible Playbook Filter. This class wi... | internal/filters/invoke_go_tf.py | import logging
import os
import shutil
import subprocess
from typing import AnyStr
from typing import Dict, Any, List
class FilterModule(object):
"""
FilterModule is an abstraction responsible for providing Golang Template and Sprig Function functionality through
an Ansible Playbook Filter. This class wi... | 0.756178 | 0.269236 |
from django.conf import settings
from collections import OrderedDict
try:
from django.core.cache import caches
except ImportError:
from django.core.cache import get_cache as caches
def check(request):
all_stats = []
for alias in settings.CACHES:
server_stats = []
if is_memcached_profi... | src/heartbeat/checkers/memcached_status.py | from django.conf import settings
from collections import OrderedDict
try:
from django.core.cache import caches
except ImportError:
from django.core.cache import get_cache as caches
def check(request):
all_stats = []
for alias in settings.CACHES:
server_stats = []
if is_memcached_profi... | 0.486575 | 0.138812 |
import collections
import sys
from chainer.backends import cuda
from chainer import function_hook
try:
MemoryHook = cuda.cupy.cuda.memory_hook.MemoryHook
memory_hook_available = True
except Exception as e:
_resolution_error = e
MemoryHook = object
memory_hook_available = False
class CupyMemoryP... | chainer/function_hooks/cupy_memory_profile.py | import collections
import sys
from chainer.backends import cuda
from chainer import function_hook
try:
MemoryHook = cuda.cupy.cuda.memory_hook.MemoryHook
memory_hook_available = True
except Exception as e:
_resolution_error = e
MemoryHook = object
memory_hook_available = False
class CupyMemoryP... | 0.602529 | 0.32461 |
import datetime
import unittest
from builtins import RuntimeError
from unittest import mock
from unittest.mock import call
import freezegun
import mongomock
from bson import ObjectId
from pymongo import MongoClient
from pymongo_odm.document import Document
from pymongo_odm.helpers import Map
from pymongo_odm.helpers.... | test/test_document.py | import datetime
import unittest
from builtins import RuntimeError
from unittest import mock
from unittest.mock import call
import freezegun
import mongomock
from bson import ObjectId
from pymongo import MongoClient
from pymongo_odm.document import Document
from pymongo_odm.helpers import Map
from pymongo_odm.helpers.... | 0.510252 | 0.237736 |
import FWCore.ParameterSet.Config as cms
simCastorDigis = cms.EDAlias(
mix = cms.VPSet(
cms.PSet(type = cms.string('CastorDataFramesSorted'))
)
)
simEcalUnsuppressedDigis = cms.EDAlias(
mix = cms.VPSet(
cms.PSet(type = cms.string('EBDigiCollection')),
cms.PSet(type = cms.string('EEDigiCol... | SimGeneral/MixingModule/python/aliases_cfi.py | import FWCore.ParameterSet.Config as cms
simCastorDigis = cms.EDAlias(
mix = cms.VPSet(
cms.PSet(type = cms.string('CastorDataFramesSorted'))
)
)
simEcalUnsuppressedDigis = cms.EDAlias(
mix = cms.VPSet(
cms.PSet(type = cms.string('EBDigiCollection')),
cms.PSet(type = cms.string('EEDigiCol... | 0.415373 | 0.30081 |
print ('《回村》0.1版本','Author: <NAME>')
print ('附注：基于 <NAME> 的 Demo 开发')
print ('更多内容请关注微博或微信公众号：IoT前哨站')
print ('')
print ('欢迎来到风景优美的山谷。但是时间不早了，你要返回村庄。亲戚朋友还在等你回去聚餐。')
print ('')
directions = ['北面','南面','东面','西面']
# Data structure to store details of each location in the game
class Location:
# Constructor - set up
... | Text-Adventure/Gohome.py | print ('《回村》0.1版本','Author: <NAME>')
print ('附注：基于 <NAME> 的 Demo 开发')
print ('更多内容请关注微博或微信公众号：IoT前哨站')
print ('')
print ('欢迎来到风景优美的山谷。但是时间不早了，你要返回村庄。亲戚朋友还在等你回去聚餐。')
print ('')
directions = ['北面','南面','东面','西面']
# Data structure to store details of each location in the game
class Location:
# Constructor - set up
... | 0.215681 | 0.18743 |
from collections import Counter
from typing import List
from ranked_vote.ballot import Ballot, Candidate
class ApprovalEntry:
def __init__(self, candidate, other_candidate, candidate_votes, other_candidate_votes):
self.candidate = candidate
self.other_candidate = other_candidate
self.cand... | ranked_vote/analysis/honest_approval_set.py | from collections import Counter
from typing import List
from ranked_vote.ballot import Ballot, Candidate
class ApprovalEntry:
def __init__(self, candidate, other_candidate, candidate_votes, other_candidate_votes):
self.candidate = candidate
self.other_candidate = other_candidate
self.cand... | 0.75985 | 0.150778 |
import sys
import os
import stat
import re
import copy
from pwd import getpwnam
import shutil
def main():
from docassemble.base.config import daconfig, S3_ENABLED, s3_config, AZURE_ENABLED, azure_config
certs_location = daconfig.get('certs', None)
cloud = None
prefix = None
if S3_ENABLED:
i... | docassemble_webapp/docassemble/webapp/install_certs.py | import sys
import os
import stat
import re
import copy
from pwd import getpwnam
import shutil
def main():
from docassemble.base.config import daconfig, S3_ENABLED, s3_config, AZURE_ENABLED, azure_config
certs_location = daconfig.get('certs', None)
cloud = None
prefix = None
if S3_ENABLED:
i... | 0.150996 | 0.057388 |
import os, sys, inspect, torch, csv, copy
currentdir = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())))
parentdir = os.path.dirname(currentdir)
sys.path.insert(0, parentdir)
from torch_geometric.nn import MessagePassing
from torch_geometric.utils import degree
from torch_geometric.nn import gl... | stereonet/models/mp_layers.py | import os, sys, inspect, torch, csv, copy
currentdir = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())))
parentdir = os.path.dirname(currentdir)
sys.path.insert(0, parentdir)
from torch_geometric.nn import MessagePassing
from torch_geometric.utils import degree
from torch_geometric.nn import gl... | 0.722723 | 0.431884 |
from __future__ import absolute_import, unicode_literals
import unittest
from django.core.files.base import ContentFile
from django.core.urlresolvers import reverse
from django.test import TestCase
from django.test.utils import override_settings
from django.utils.six import b
from tuiuiu.tests.utils import TuiuiuTes... | tuiuiu/tuiuiudocs/tests/test_search.py | from __future__ import absolute_import, unicode_literals
import unittest
from django.core.files.base import ContentFile
from django.core.urlresolvers import reverse
from django.test import TestCase
from django.test.utils import override_settings
from django.utils.six import b
from tuiuiu.tests.utils import TuiuiuTes... | 0.638835 | 0.158989 |
import requests
import json
import csv
from collections import deque
import time
import datetime
def getsince(csv_file):
with open(csv_file,'r') as f:
return deque(csv.reader(f),1)[0][0]
def getprices():
#urlbfx='https://api.bitfinex.com/v2/candles/trade:1m:tLTCBTC/hist'
... | pricefetch.py | import requests
import json
import csv
from collections import deque
import time
import datetime
def getsince(csv_file):
with open(csv_file,'r') as f:
return deque(csv.reader(f),1)[0][0]
def getprices():
#urlbfx='https://api.bitfinex.com/v2/candles/trade:1m:tLTCBTC/hist'
... | 0.042752 | 0.071819 |
import collections
from typing import Any, Dict, Optional, Iterable, Sequence
import numpy as np
from modin.core.dataframe.base.exchange.dataframe_protocol.dataframe import (
ProtocolDataframe,
)
from modin.core.dataframe.pandas.dataframe.dataframe import PandasDataframe
from modin.utils import _inherit_docstrings... | modin/core/dataframe/pandas/exchange/dataframe_protocol/dataframe.py | import collections
from typing import Any, Dict, Optional, Iterable, Sequence
import numpy as np
from modin.core.dataframe.base.exchange.dataframe_protocol.dataframe import (
ProtocolDataframe,
)
from modin.core.dataframe.pandas.dataframe.dataframe import PandasDataframe
from modin.utils import _inherit_docstrings... | 0.911807 | 0.493714 |
import importlib.util, os, shutil, subprocess, sys, tempfile, urllib.request
assert sys.version_info >= (3, 4)
# A horrible workaround for a partially existing distutils.
_distutils_usercustomize = """
# miniirc_bootstrap: Make user-provided packages load first.
# This can safely be removed if distutils has been pro... | miniirc_bootstrap.py |
import importlib.util, os, shutil, subprocess, sys, tempfile, urllib.request
assert sys.version_info >= (3, 4)
# A horrible workaround for a partially existing distutils.
_distutils_usercustomize = """
# miniirc_bootstrap: Make user-provided packages load first.
# This can safely be removed if distutils has been pro... | 0.296145 | 0.200734 |
import lightgbm as lgb
from sklearn.model_selection import GridSearchCV
from sklearn.model_selection import StratifiedKFold
from matplotlib import pyplot as plt
import numpy as np
class LightGBMWrapper:
"""
Apply an light GBM model on a dataset with hyperparameters tuning
"""
params = {'boosting_type':... | Contests/2018-11-09 - 2018-11-10 - Huawei Hackathon/src/models/other/lightGBMWrapper.py | import lightgbm as lgb
from sklearn.model_selection import GridSearchCV
from sklearn.model_selection import StratifiedKFold
from matplotlib import pyplot as plt
import numpy as np
class LightGBMWrapper:
"""
Apply an light GBM model on a dataset with hyperparameters tuning
"""
params = {'boosting_type':... | 0.786131 | 0.455986 |
import subprocess
import time
instList = [ \
#(0x707f, 0x2003, 'LW', ['rs1','rd','immI']),
#(0x707f, 0x3, 'LB', ['rs1','rd','immI']),
#(0x707f, 0x1003, 'LH', ['rs1','rd','immI']),
#(0x707f, 0x3003, 'LD', ['rs1','rd','immI']),
#(0x7... | cores/RISC-V/RISC-V-Synth/ILAVerif/BaseI/handle.py | import subprocess
import time
instList = [ \
#(0x707f, 0x2003, 'LW', ['rs1','rd','immI']),
#(0x707f, 0x3, 'LB', ['rs1','rd','immI']),
#(0x707f, 0x1003, 'LH', ['rs1','rd','immI']),
#(0x707f, 0x3003, 'LD', ['rs1','rd','immI']),
#(0x7... | 0.04844 | 0.282017 |
from pynmea.exceptions import NoDataGivenError
class NMEAStream(object):
""" NMEAStream object is used to
"""
def __init__(self, stream_obj=None):
""" stream_obj should be a file like object.
If the requirement is just to split data in memory, no stream_obj
is required. Sim... | adcpy/pynmea/streamer.py | from pynmea.exceptions import NoDataGivenError
class NMEAStream(object):
""" NMEAStream object is used to
"""
def __init__(self, stream_obj=None):
""" stream_obj should be a file like object.
If the requirement is just to split data in memory, no stream_obj
is required. Sim... | 0.426322 | 0.404949 |
import os
import sys
reload(sys)
sys.setdefaultencoding('UTF-8')
import signal
import time
from datetime import datetime
from datetime import timedelta
import ConfigParser
import glob
import json
import uuid
import shutil
import requests
from requests.packages.urllib3.exceptions import InsecureRequestWarning
request... | ETL/bin/WorkInfoCollector_MODULE.py |
import os
import sys
reload(sys)
sys.setdefaultencoding('UTF-8')
import signal
import time
from datetime import datetime
from datetime import timedelta
import ConfigParser
import glob
import json
import uuid
import shutil
import requests
from requests.packages.urllib3.exceptions import InsecureRequestWarning
request... | 0.138404 | 0.062417 |
import pytest
from brownie import Contract, Wei, reverts
from fixedint import *
import shared
def test_Demand_Curve_Setting(loanToken, loanTokenSettings, LoanTokenSettingsLowerAdmin, accounts, LoanToken, LoanTokenLogicStandard):
baseRate = 1e18
rateMultiplier = 20.25e18
targetLevel=80*10**18
kinkLevel=... | tests/loanToken/administration/test_administration.py | import pytest
from brownie import Contract, Wei, reverts
from fixedint import *
import shared
def test_Demand_Curve_Setting(loanToken, loanTokenSettings, LoanTokenSettingsLowerAdmin, accounts, LoanToken, LoanTokenLogicStandard):
baseRate = 1e18
rateMultiplier = 20.25e18
targetLevel=80*10**18
kinkLevel=... | 0.452536 | 0.409752 |
import sys,os
import argparse
import subprocess
MRFLOW_HOME = os.environ['MRFLOW_HOME']
sys.path.append(MRFLOW_HOME)
import dataset_parameters
def generate_paths(dataset, arg):
""" Generate paths for either Sintel or Kitti
Requires the following environment variables to be set:
- SINTEL_HOME
- KIT... | mrflow_dataset.py |
import sys,os
import argparse
import subprocess
MRFLOW_HOME = os.environ['MRFLOW_HOME']
sys.path.append(MRFLOW_HOME)
import dataset_parameters
def generate_paths(dataset, arg):
""" Generate paths for either Sintel or Kitti
Requires the following environment variables to be set:
- SINTEL_HOME
- KIT... | 0.340376 | 0.21595 |
from django.core.urlresolvers import reverse_lazy
from django.utils.translation import ugettext_lazy as _
from horizon import exceptions
from horizon import forms
from horizon import messages
from horizon import tabs
from horizon.utils import memoized
from horizon import workflows
from openstack_dashboard import ap... | openstack_dashboard/dashboards/project/vpn/views.py |
from django.core.urlresolvers import reverse_lazy
from django.utils.translation import ugettext_lazy as _
from horizon import exceptions
from horizon import forms
from horizon import messages
from horizon import tabs
from horizon.utils import memoized
from horizon import workflows
from openstack_dashboard import ap... | 0.448668 | 0.098599 |
import inspect
import os
import subprocess # noqa: S404
import sys
from dataclasses import dataclass
from pathlib import Path
from textwrap import dedent
from types import ModuleType
from typing import Any
from typing import Callable
from typing import Iterable
from typing import List
from typing import TYPE_CHECKING
... | tests/functional/conftest.py | import inspect
import os
import subprocess # noqa: S404
import sys
from dataclasses import dataclass
from pathlib import Path
from textwrap import dedent
from types import ModuleType
from typing import Any
from typing import Callable
from typing import Iterable
from typing import List
from typing import TYPE_CHECKING
... | 0.639736 | 0.204144 |
_character_map = {
# Symbol: (Hex Value, URI Form)
'!': (0x21, '!'), '"': (0x22, '%22'), '%': (0x25, '%25'), '&': (0x26, '%26'),
'\'': (0x27, '\''), '(': (0x28, '('), ')': (0x29, ')'), '*': (0x2a, '*'),
'+': (0x2b, '+'), ',': (0x2c, ','), '-': (0x2d, '-'), '.': (0x2e, '.'),
'/': (0x2f, '%2F'), '0': ... | epc/encoding/string.py | _character_map = {
# Symbol: (Hex Value, URI Form)
'!': (0x21, '!'), '"': (0x22, '%22'), '%': (0x25, '%25'), '&': (0x26, '%26'),
'\'': (0x27, '\''), '(': (0x28, '('), ')': (0x29, ')'), '*': (0x2a, '*'),
'+': (0x2b, '+'), ',': (0x2c, ','), '-': (0x2d, '-'), '.': (0x2e, '.'),
'/': (0x2f, '%2F'), '0': ... | 0.395368 | 0.175856 |
from Token import Token
from SymbolTable import SymbolTable
from TableEntry import TableEntry
from SymbolTableTree import SymbolTableTree
from ASA import *
class Syntactic():
token = ''
arrayToken = []
indexToken = ''
no = ''
symbolTableTree = ''
tableEntry = ''
actualTable = '... | tp2/src/Syntactic.py | from Token import Token
from SymbolTable import SymbolTable
from TableEntry import TableEntry
from SymbolTableTree import SymbolTableTree
from ASA import *
class Syntactic():
token = ''
arrayToken = []
indexToken = ''
no = ''
symbolTableTree = ''
tableEntry = ''
actualTable = '... | 0.119588 | 0.076615 |
from __future__ import absolute_import
from datetime import datetime
from os import path, listdir
from time import sleep
from unittest import TestCase
import re
import pytest
from werkzeug.datastructures import Headers
from werkzeug.http import http_date
from werkzeug.test import EnvironBuilder
from werkzeug.wrapper... | tests/webapp_t.py |
from __future__ import absolute_import
from datetime import datetime
from os import path, listdir
from time import sleep
from unittest import TestCase
import re
import pytest
from werkzeug.datastructures import Headers
from werkzeug.http import http_date
from werkzeug.test import EnvironBuilder
from werkzeug.wrapper... | 0.496094 | 0.19309 |
from .CodeHelpers import generateExpressionCode
from .ErrorCodes import getErrorExitCode
def generateCAPIObjectCodeCommon(to_name, capi, arg_desc, may_raise, ref_count,
source_ref, emit, context, none_null = False):
arg_names = []
for arg_name, arg_expression in arg_desc:
... | nuitka/codegen/PythonAPICodes.py | from .CodeHelpers import generateExpressionCode
from .ErrorCodes import getErrorExitCode
def generateCAPIObjectCodeCommon(to_name, capi, arg_desc, may_raise, ref_count,
source_ref, emit, context, none_null = False):
arg_names = []
for arg_name, arg_expression in arg_desc:
... | 0.317426 | 0.070081 |
import tkinter as tk
from tkinter.ttk import Combobox
from tkinter import font
class FontSelector(tk.Toplevel):
"""A font selector popup"""
def __init__(self, master):
super().__init__(master)
self.master = master
self.font = master.font
self.title('Font')
self.transient... | {{cookiecutter.project_slug}}/text_editor/widgets/fontselect.py | import tkinter as tk
from tkinter.ttk import Combobox
from tkinter import font
class FontSelector(tk.Toplevel):
"""A font selector popup"""
def __init__(self, master):
super().__init__(master)
self.master = master
self.font = master.font
self.title('Font')
self.transient... | 0.528777 | 0.096365 |
import tensorflow as tf
from dl_playground.networks.model import BatchModel, ContinualModel
class LayerModel(tf.keras.Model, BatchModel):
"""A model contains one layer.
A thin wrapper around the layer to comply with model interface.
Parameters
----------
layer : tf.keras.layers.Layer & BatchLay... | networks/layers/model.py | import tensorflow as tf
from dl_playground.networks.model import BatchModel, ContinualModel
class LayerModel(tf.keras.Model, BatchModel):
"""A model contains one layer.
A thin wrapper around the layer to comply with model interface.
Parameters
----------
layer : tf.keras.layers.Layer & BatchLay... | 0.962743 | 0.509581 |
import json
import os.path
import netaddr
import argparse
from shared.organization import get_organization_accounts
__description__ = "Add and remove items from the config file"
def configure(action, arguments):
if not os.path.isfile(arguments.config_file):
print("Config file does not exist, creating on... | commands/configure.py | import json
import os.path
import netaddr
import argparse
from shared.organization import get_organization_accounts
__description__ = "Add and remove items from the config file"
def configure(action, arguments):
if not os.path.isfile(arguments.config_file):
print("Config file does not exist, creating on... | 0.146423 | 0.16492 |
from extra_views.formsets import InlineFormSetMixin
from django.http import HttpResponseRedirect
from django.forms.formsets import all_valid
from vanilla import GenericModelView
class BaseInlinesView(GenericModelView):
"""
A base view class that provides a way to multiple inline formsets in a request.
Us... | extra_views/advanced.py | from extra_views.formsets import InlineFormSetMixin
from django.http import HttpResponseRedirect
from django.forms.formsets import all_valid
from vanilla import GenericModelView
class BaseInlinesView(GenericModelView):
"""
A base view class that provides a way to multiple inline formsets in a request.
Us... | 0.688049 | 0.217753 |
import numpy as np
def accuracy_score(y_true, y_pred):
"""
Classification performance metric that computes the accuracy of y_true
and y_pred.
:param numpy.array y_true: array-like of shape (n_samples,) Ground truth correct labels.
:param numpy.array y_pred: array-like of shape (n_samples,) Estimat... | src/si/util/metrics.py | import numpy as np
def accuracy_score(y_true, y_pred):
"""
Classification performance metric that computes the accuracy of y_true
and y_pred.
:param numpy.array y_true: array-like of shape (n_samples,) Ground truth correct labels.
:param numpy.array y_pred: array-like of shape (n_samples,) Estimat... | 0.910207 | 0.921181 |
import numpy as np
import torch
import torch.nn as nn
class TNGraph(nn.Module):
def __init__(self, graph, contract_order=None):
super(TNGraph, self).__init__()
self.graph = graph
self.contract_order = contract_order
self.cores = []
for item in range(len(graph)):
... | tensorNetwork/torch.py | import numpy as np
import torch
import torch.nn as nn
class TNGraph(nn.Module):
def __init__(self, graph, contract_order=None):
super(TNGraph, self).__init__()
self.graph = graph
self.contract_order = contract_order
self.cores = []
for item in range(len(graph)):
... | 0.650911 | 0.30026 |
from django.shortcuts import render,redirect,get_object_or_404
from django.http import HttpResponse,Http404
from .models import Image,Profile,Comments
from django.contrib.auth.decorators import login_required
from django.contrib.auth.models import User
from django.http import HttpResponseRedirect
from .forms import New... | gram/views.py | from django.shortcuts import render,redirect,get_object_or_404
from django.http import HttpResponse,Http404
from .models import Image,Profile,Comments
from django.contrib.auth.decorators import login_required
from django.contrib.auth.models import User
from django.http import HttpResponseRedirect
from .forms import New... | 0.293708 | 0.059102 |
from compas.utilities import flatten
from compas.geometry import allclose
from compas.geometry import multiply_matrices
from compas.geometry.transformations import decompose_matrix
from compas.geometry.transformations import matrix_from_scale_factors
from compas.geometry.transformations import matrix_from_frame
from co... | src/compas/geometry/transformations/scale.py | from compas.utilities import flatten
from compas.geometry import allclose
from compas.geometry import multiply_matrices
from compas.geometry.transformations import decompose_matrix
from compas.geometry.transformations import matrix_from_scale_factors
from compas.geometry.transformations import matrix_from_frame
from co... | 0.949728 | 0.749821 |
import tensorflow as tf
from keras import backend as K
from keras.models import Model
from keras.layers import Conv2D, BatchNormalization, ReLU, DepthwiseConv2D, Activation, Input, Add ,Lambda,Concatenate,GlobalAvgPool1D
from keras.layers import GlobalAveragePooling2D, Reshape, Dense, multiply, Softmax, Flatten, merge,... | Densenet.py | import tensorflow as tf
from keras import backend as K
from keras.models import Model
from keras.layers import Conv2D, BatchNormalization, ReLU, DepthwiseConv2D, Activation, Input, Add ,Lambda,Concatenate,GlobalAvgPool1D
from keras.layers import GlobalAveragePooling2D, Reshape, Dense, multiply, Softmax, Flatten, merge,... | 0.908634 | 0.521532 |
import skil_client
from .base import Resource
class AzureStorage(Resource):
"""AzureStorage
SKIL Azure storage resource.
# Arguments:
skil: `Skil` server instance
name: Resource name
container_name: Azure storage container name
credential_uri: path to credential file
... | skil/resources/storage.py | import skil_client
from .base import Resource
class AzureStorage(Resource):
"""AzureStorage
SKIL Azure storage resource.
# Arguments:
skil: `Skil` server instance
name: Resource name
container_name: Azure storage container name
credential_uri: path to credential file
... | 0.753875 | 0.06357 |
import os
import random
import sys
from pyglet.gl import *
import pyglet
from pyglet.window import key
pyglet.resource.path.insert(0, os.path.dirname(__file__))
pyglet.resource.reindex()
BALL_IMAGE = 'ball.png'
BALL_SOUND = 'ping.wav'
sound = pyglet.resource.media(BALL_SOUND, streaming=False)
class Ball(pyglet.spri... | examples/pyglet/noisy/__init__.py | import os
import random
import sys
from pyglet.gl import *
import pyglet
from pyglet.window import key
pyglet.resource.path.insert(0, os.path.dirname(__file__))
pyglet.resource.reindex()
BALL_IMAGE = 'ball.png'
BALL_SOUND = 'ping.wav'
sound = pyglet.resource.media(BALL_SOUND, streaming=False)
class Ball(pyglet.spri... | 0.216094 | 0.207536 |
"""Pools managing shared Session objects."""
from __future__ import unicode_literals
from __future__ import print_function
from __future__ import division
from __future__ import absolute_import
from builtins import super
from future import standard_library
standard_library.install_aliases()
import datetime
from six.... | google/cloud/spanner_v1/pool.py |
"""Pools managing shared Session objects."""
from __future__ import unicode_literals
from __future__ import print_function
from __future__ import division
from __future__ import absolute_import
from builtins import super
from future import standard_library
standard_library.install_aliases()
import datetime
from six.... | 0.907732 | 0.366533 |
from __future__ import print_function
import os
from fabric.api import abort, env, run, settings, put
from braid import postgres, cron, archive, utils
from braid.twisted import service
from braid.utils import confirm
from braid import config
from braid.tasks import addTasks
__all__ = ['config']
class Trac(service... | services/trac/fabfile.py | from __future__ import print_function
import os
from fabric.api import abort, env, run, settings, put
from braid import postgres, cron, archive, utils
from braid.twisted import service
from braid.utils import confirm
from braid import config
from braid.tasks import addTasks
__all__ = ['config']
class Trac(service... | 0.188063 | 0.068694 |
import os
from typing import Union
from tests.warehouse_profile import WarehouseProfile
from wr_profiles import EnvvarProfile
def test_create_environment_with_and_without_activation():
wp: Union[WarehouseProfile, EnvvarProfile] = WarehouseProfile(name='for_this_test')
original_values = wp.to_dict()
env... | tests/test_environment.py | import os
from typing import Union
from tests.warehouse_profile import WarehouseProfile
from wr_profiles import EnvvarProfile
def test_create_environment_with_and_without_activation():
wp: Union[WarehouseProfile, EnvvarProfile] = WarehouseProfile(name='for_this_test')
original_values = wp.to_dict()
env... | 0.617513 | 0.359252 |
__all__ = ['letv_download', 'letvcloud_download', 'letvcloud_download_by_vu']
import json
import random
import xml.etree.ElementTree as ET
import base64, hashlib, urllib, time, re
from ..common import *
#@DEPRECATED
def get_timestamp():
tn = random.random()
url = 'http://api.letv.com/time?tn={}'.format(tn)
... | libraries/you-get/extractors/letv.py |
__all__ = ['letv_download', 'letvcloud_download', 'letvcloud_download_by_vu']
import json
import random
import xml.etree.ElementTree as ET
import base64, hashlib, urllib, time, re
from ..common import *
#@DEPRECATED
def get_timestamp():
tn = random.random()
url = 'http://api.letv.com/time?tn={}'.format(tn)
... | 0.175503 | 0.178938 |
import io,sys,time,random
import requests #用于模拟网页请求,抓取
from openpyxl import load_workbook #用于写入excel(why not csv???)
import lxml #html&xml解析库,方便处理数据
from bs4 import BeautifulSoup #也是方便处理html页面(美味汤)
from json import loads #处理respons... | spider.py | import io,sys,time,random
import requests #用于模拟网页请求,抓取
from openpyxl import load_workbook #用于写入excel(why not csv???)
import lxml #html&xml解析库,方便处理数据
from bs4 import BeautifulSoup #也是方便处理html页面(美味汤)
from json import loads #处理respons... | 0.057965 | 0.134577 |
import os
import json
# Status script
# Checking the status of the annotations,
# both old and new.
# Samia and Petter annotations
with open(os.path.join("v1.1","data","dev.json"),"r",encoding="utf-8") as data:
dev_sp = json.load(data)
with open(os.path.join("v1.1","data","train.json"),"r",encoding="utf-8") as... | status_script.py | import os
import json
# Status script
# Checking the status of the annotations,
# both old and new.
# Samia and Petter annotations
with open(os.path.join("v1.1","data","dev.json"),"r",encoding="utf-8") as data:
dev_sp = json.load(data)
with open(os.path.join("v1.1","data","train.json"),"r",encoding="utf-8") as... | 0.218419 | 0.288547 |
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.feature_extraction.text import TfidfTransformer
from sklearn.feature_selection import SelectKBest, chi2
from sklearn.base import BaseEstimator,TransformerMixin
import logging
import time
import logging
logger = logging.getLogger(__name__)
class... | python/build/lib/seldon/pipeline/tfidf_transform.py | from sklearn.feature_extraction.text import CountVectorizer
from sklearn.feature_extraction.text import TfidfTransformer
from sklearn.feature_selection import SelectKBest, chi2
from sklearn.base import BaseEstimator,TransformerMixin
import logging
import time
import logging
logger = logging.getLogger(__name__)
class... | 0.834272 | 0.345906 |
import asyncio
import io
import pytz
from datetime import datetime
import pexpect
import aioschedule
from .sql import handling_casino_sql
from .sql.database import loop
from .parse_config import get_database_config
BACKUP_PATH = "bot_database_backup.sql"
HOST, USER, PASSWORD, DATABASE_NAME, PORT = loop.run_until_co... | Bot/task_scheduler.py | import asyncio
import io
import pytz
from datetime import datetime
import pexpect
import aioschedule
from .sql import handling_casino_sql
from .sql.database import loop
from .parse_config import get_database_config
BACKUP_PATH = "bot_database_backup.sql"
HOST, USER, PASSWORD, DATABASE_NAME, PORT = loop.run_until_co... | 0.20834 | 0.128717 |
import torch
import torch.nn as nn
import torch.nn.functional as F
from ..builder import LOSSES
from .utils import weight_reduce_loss
def cross_entropy(pred,
label,
weight=None,
class_weight=None,
reduction='mean',
avg_factor=N... | mmseg/models/losses/affinity_loss.py | import torch
import torch.nn as nn
import torch.nn.functional as F
from ..builder import LOSSES
from .utils import weight_reduce_loss
def cross_entropy(pred,
label,
weight=None,
class_weight=None,
reduction='mean',
avg_factor=N... | 0.934349 | 0.609524 |
from .Helpers import get_builtin_type, indent, get_attribute_size, is_flags_enum, get_comments_from_attribute
from .Helpers import get_comments_if_present, create_enum_name, InterfaceType
from .Helpers import get_read_method_name, get_reverse_method_name, get_write_method_name
from .JavaGeneratorBase import JavaGenerat... | generators/java/JavaEnumGenerator.py | from .Helpers import get_builtin_type, indent, get_attribute_size, is_flags_enum, get_comments_from_attribute
from .Helpers import get_comments_if_present, create_enum_name, InterfaceType
from .Helpers import get_read_method_name, get_reverse_method_name, get_write_method_name
from .JavaGeneratorBase import JavaGenerat... | 0.630457 | 0.118947 |
from collections import defaultdict
from pathlib import Path
import csv
from bs4 import BeautifulSoup
from django.conf import settings
from django.core.files import File
from django.core.management.base import BaseCommand
from django.urls import reverse
from wagtail.core.models import Page, Site, Locale, Collection, P... | iogt_content_migration/management/commands/load_v1_db.py | from collections import defaultdict
from pathlib import Path
import csv
from bs4 import BeautifulSoup
from django.conf import settings
from django.core.files import File
from django.core.management.base import BaseCommand
from django.urls import reverse
from wagtail.core.models import Page, Site, Locale, Collection, P... | 0.371137 | 0.063802 |
from collections import Counter
from eva_cttv_pipeline.clinvar_xml_io import clinvar_xml_io
from eva_cttv_pipeline.trait_mapping.trait import Trait
def parse_trait_names(filepath: str) -> list:
"""For a file containing ClinVar records in the XML format, return a list of Traits for the records in the file.
Ea... | eva_cttv_pipeline/trait_mapping/trait_names_parsing.py | from collections import Counter
from eva_cttv_pipeline.clinvar_xml_io import clinvar_xml_io
from eva_cttv_pipeline.trait_mapping.trait import Trait
def parse_trait_names(filepath: str) -> list:
"""For a file containing ClinVar records in the XML format, return a list of Traits for the records in the file.
Ea... | 0.86941 | 0.54462 |
import numpy as np
import scipy.integrate as integrate
def rb_nfw(m200,c,z):
"""
Function to compute a NFW profile.
Velocity Dispersion equation taken from Hoeft M.; <NAME>. & Gottlober, S, 2004, ApJ 602,1
http://adsabs.harvard.edu/cgi-bin/bib_query?2004ApJ...602..162H
Input :-
m200 :- ... | halo/rb_nfw.py | import numpy as np
import scipy.integrate as integrate
def rb_nfw(m200,c,z):
"""
Function to compute a NFW profile.
Velocity Dispersion equation taken from Hoeft M.; <NAME>. & Gottlober, S, 2004, ApJ 602,1
http://adsabs.harvard.edu/cgi-bin/bib_query?2004ApJ...602..162H
Input :-
m200 :- ... | 0.416678 | 0.257213 |
from ...ucsmo import ManagedObject
from ...ucscoremeta import MoPropertyMeta, MoMeta
from ...ucsmeta import VersionMeta
class FirmwareUcscInfoConsts:
CONN_PROTOCOL_IPV4 = "ipv4"
CONN_PROTOCOL_IPV6 = "ipv6"
CONN_PROTOCOL_UNKNOWN = "unknown"
class FirmwareUcscInfo(ManagedObject):
"""This is FirmwareU... | ucsmsdk/mometa/firmware/FirmwareUcscInfo.py |
from ...ucsmo import ManagedObject
from ...ucscoremeta import MoPropertyMeta, MoMeta
from ...ucsmeta import VersionMeta
class FirmwareUcscInfoConsts:
CONN_PROTOCOL_IPV4 = "ipv4"
CONN_PROTOCOL_IPV6 = "ipv6"
CONN_PROTOCOL_UNKNOWN = "unknown"
class FirmwareUcscInfo(ManagedObject):
"""This is FirmwareU... | 0.418578 | 0.204898 |
from __future__ import print_function
import numpy as np
import numba.unittest_support as unittest
from numba.compiler import compile_isolated, Flags
from numba import utils, jit
from .support import TestCase
def complex_constant(n):
tmp = n + 4
return tmp + 3j
def long_constant(n):
return n + 10000000... | dev/Gems/CloudGemMetric/v1/AWS/common-code/Lib/numba/tests/test_object_mode.py | from __future__ import print_function
import numpy as np
import numba.unittest_support as unittest
from numba.compiler import compile_isolated, Flags
from numba import utils, jit
from .support import TestCase
def complex_constant(n):
tmp = n + 4
return tmp + 3j
def long_constant(n):
return n + 10000000... | 0.612541 | 0.573499 |
import copy
import logging
import typing
from collections import defaultdict
from typing import Dict, Any, List, Type, Optional
import pandas as pd
from flask_babel import _
from sqlalchemy import func, distinct
from anyway.app_and_db import db
from anyway.backend_constants import BE_CONST, LabeledCode
... | anyway/widgets/widget_utils.py | import copy
import logging
import typing
from collections import defaultdict
from typing import Dict, Any, List, Type, Optional
import pandas as pd
from flask_babel import _
from sqlalchemy import func, distinct
from anyway.app_and_db import db
from anyway.backend_constants import BE_CONST, LabeledCode
... | 0.496094 | 0.214815 |
"""Generated protocol buffer code."""
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)
_sym_db = _symbol_databa... | terra_sdk/protobuf/cosmos/params/v1beta1/params_pb2.py | """Generated protocol buffer code."""
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)
_sym_db = _symbol_databa... | 0.422862 | 0.116011 |
import os
import pytest
import fetch_data as fd
def test_file_logging():
import logging
from fetch_data import utils
dest = "./tests/downloads/logging_download.log"
utils.log_to_file(dest)
logging.warning("[TESTING] This is a test log for downloading")
with open(dest) as file:
a... | tests/test_download.py | import os
import pytest
import fetch_data as fd
def test_file_logging():
import logging
from fetch_data import utils
dest = "./tests/downloads/logging_download.log"
utils.log_to_file(dest)
logging.warning("[TESTING] This is a test log for downloading")
with open(dest) as file:
a... | 0.356895 | 0.34726 |