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 InMemoryCloudDatastoreStub import datastore_stub
from tests.models import SimpleModel
def test_get_nonexistent_key() -> None:
model = SimpleModel.get_by_id("notfound")
assert model is None
def test_get_existing_by_id(ndb_stub: datastore_stub.LocalDatastoreStub) -> None:
model = SimpleModel(id="test... | tests/query_test.py | from InMemoryCloudDatastoreStub import datastore_stub
from tests.models import SimpleModel
def test_get_nonexistent_key() -> None:
model = SimpleModel.get_by_id("notfound")
assert model is None
def test_get_existing_by_id(ndb_stub: datastore_stub.LocalDatastoreStub) -> None:
model = SimpleModel(id="test... | 0.835383 | 0.585694 |
import io
import aiotube
import discord
import asyncio
from bot.extras.emojis import Emo
from app_util import Context
from bot.extras.func import db_fetch_object, drive
async def sub_view_config(ctx: Context, value: int):
if value == 0:
data = await db_fetch_object(ctx.guild.id, 'receivers')
if d... | bot/views/config_view.py | import io
import aiotube
import discord
import asyncio
from bot.extras.emojis import Emo
from app_util import Context
from bot.extras.func import db_fetch_object, drive
async def sub_view_config(ctx: Context, value: int):
if value == 0:
data = await db_fetch_object(ctx.guild.id, 'receivers')
if d... | 0.345105 | 0.230032 |
r"""PID controller for telescope main dish.
Optimum control parameter is calculated using a simple function consists of
Proportional, Integral and Derivative terms:
.. math::
u(t) = K_\mathrm{p} \, e(t)
+ K_\mathrm{i} \int e(\tau) \, \mathrm{d}\tau
+ K_\mathrm{d} \frac{ \mathrm{d}e(t) }{ \mathrm{d}t }
w... | neclib/controllers/antenna_pid.py | r"""PID controller for telescope main dish.
Optimum control parameter is calculated using a simple function consists of
Proportional, Integral and Derivative terms:
.. math::
u(t) = K_\mathrm{p} \, e(t)
+ K_\mathrm{i} \int e(\tau) \, \mathrm{d}\tau
+ K_\mathrm{d} \frac{ \mathrm{d}e(t) }{ \mathrm{d}t }
w... | 0.959221 | 0.77675 |
import pytest
from django.contrib.auth import get_user_model
import django.contrib.sites.shortcuts
from rest_framework.test import APIRequestFactory
import figures.permissions
import figures.helpers
from tests.factories import OrganizationFactory, SiteFactory, UserFactory
# For multisite testing
try:
from tests... | tests/test_permissions.py | import pytest
from django.contrib.auth import get_user_model
import django.contrib.sites.shortcuts
from rest_framework.test import APIRequestFactory
import figures.permissions
import figures.helpers
from tests.factories import OrganizationFactory, SiteFactory, UserFactory
# For multisite testing
try:
from tests... | 0.558086 | 0.32826 |
import numpy as np
import cv2
import math
# Read an image:
def readImage(imagePath):
# Loads image:
inputImage = cv2.imread(imagePath)
# Checks if image was successfully loaded:
if inputImage is None:
print("readImage>> Error: Could not load Input image.")
return inputImage
# Defines a ... | act-05 - Image Filtering/act-05.py |
import numpy as np
import cv2
import math
# Read an image:
def readImage(imagePath):
# Loads image:
inputImage = cv2.imread(imagePath)
# Checks if image was successfully loaded:
if inputImage is None:
print("readImage>> Error: Could not load Input image.")
return inputImage
# Defines a ... | 0.806472 | 0.535402 |
from typing import Any, Callable, Type
import casymda.visualization.web_server.flask_sim_server as fss
import root_dir
from casymda.environments.realtime_environment import (
ChangeableFactorRealtimeEnvironment,
SyncedFloat,
)
from casymda.visualization.canvas.web_canvas import WebCanvas
from casymda.visualiza... | simulation/model/runnables/proc_anim.py | from typing import Any, Callable, Type
import casymda.visualization.web_server.flask_sim_server as fss
import root_dir
from casymda.environments.realtime_environment import (
ChangeableFactorRealtimeEnvironment,
SyncedFloat,
)
from casymda.visualization.canvas.web_canvas import WebCanvas
from casymda.visualiza... | 0.715424 | 0.223663 |
import argparse
import json
import ctypes
import os, sys
# The plugin .so file has to be loaded at global scope and before `import torch` to avoid cuda version mismatch.
NMS_OPT_PLUGIN_LIBRARY="build/plugins/NMSOptPlugin/libnmsoptplugin.so"
if not os.path.isfile(NMS_OPT_PLUGIN_LIBRARY):
raise IOError("{}\n{}\n".f... | closed/NVIDIA/code/ssd-small/tensorrt/SSDMobileNet.py |
import argparse
import json
import ctypes
import os, sys
# The plugin .so file has to be loaded at global scope and before `import torch` to avoid cuda version mismatch.
NMS_OPT_PLUGIN_LIBRARY="build/plugins/NMSOptPlugin/libnmsoptplugin.so"
if not os.path.isfile(NMS_OPT_PLUGIN_LIBRARY):
raise IOError("{}\n{}\n".f... | 0.5 | 0.142829 |
from pptx import Presentation
from pptx.util import Inches
from wand.image import Image
import os, os.path
layoutMode = {
'TITLE' : 0,
'TITLE_AND_CONTENT' : 1,
'SECTION_HEADER' : 2,
'SEQUE' : 2,
'TWO_CONTENT' : 3,
'COMPARISON' : 4... | file2slide.py |
from pptx import Presentation
from pptx.util import Inches
from wand.image import Image
import os, os.path
layoutMode = {
'TITLE' : 0,
'TITLE_AND_CONTENT' : 1,
'SECTION_HEADER' : 2,
'SEQUE' : 2,
'TWO_CONTENT' : 3,
'COMPARISON' : 4... | 0.202364 | 0.225534 |
import os
from unittest.mock import ANY, MagicMock, patch
from unittest import TestCase
from samcli.cli.global_config import ConfigEntry, DefaultEntry, GlobalConfig
from pathlib import Path
class TestGlobalConfig(TestCase):
def setUp(self):
# Force singleton to recreate after each test
GlobalConfi... | tests/unit/cli/test_global_config.py | import os
from unittest.mock import ANY, MagicMock, patch
from unittest import TestCase
from samcli.cli.global_config import ConfigEntry, DefaultEntry, GlobalConfig
from pathlib import Path
class TestGlobalConfig(TestCase):
def setUp(self):
# Force singleton to recreate after each test
GlobalConfi... | 0.502686 | 0.092401 |
from peepshow.core.exceptions import CommandError
from peepshow.utils.python import CheckInvocation, InvocationError
from peepshow.utils.python import prettify_expr, exc_to_str
class Transformation:
def __init__(self):
self.result = None
self._prev = None
self._next = None
self.avai... | peepshow/core/trans.py | from peepshow.core.exceptions import CommandError
from peepshow.utils.python import CheckInvocation, InvocationError
from peepshow.utils.python import prettify_expr, exc_to_str
class Transformation:
def __init__(self):
self.result = None
self._prev = None
self._next = None
self.avai... | 0.755276 | 0.142053 |
from utils.object_details import get_scaled_objects
from utils.generate_augmenter_list import create_augmenter_list
from utils.saver import make_save_dirs
from utils.saver import save_data
import copy
import numpy as np
import tqdm
from joblib import Parallel, delayed
import multiprocessing
def get_locations_in_image... | utils/generate_artificial_images.py | from utils.object_details import get_scaled_objects
from utils.generate_augmenter_list import create_augmenter_list
from utils.saver import make_save_dirs
from utils.saver import save_data
import copy
import numpy as np
import tqdm
from joblib import Parallel, delayed
import multiprocessing
def get_locations_in_image... | 0.787032 | 0.270372 |
import serial
import listports
import time
class BlinkyPendant(object):
def __init__(self, port=None, ledCount=10, buffered=True):
"""Creates a BlinkyPendant object and opens the port.
Parameters:
port
Optional, port name as accepted by PySerial library:
http://py... | python_loader/blinkypendant.py | import serial
import listports
import time
class BlinkyPendant(object):
def __init__(self, port=None, ledCount=10, buffered=True):
"""Creates a BlinkyPendant object and opens the port.
Parameters:
port
Optional, port name as accepted by PySerial library:
http://py... | 0.500732 | 0.218169 |
__author__ = """ <NAME>,
<NAME>,
"""
import os
import re
import sys
import urllib.request
import argparse
def read_urls(filename):
"""Returns a list of the puzzle URLs from the given log file,
extracting the hostname from the filename itself, sorting
alphabetically in increasing order, and screening out ... | logpuzzle.py | __author__ = """ <NAME>,
<NAME>,
"""
import os
import re
import sys
import urllib.request
import argparse
def read_urls(filename):
"""Returns a list of the puzzle URLs from the given log file,
extracting the hostname from the filename itself, sorting
alphabetically in increasing order, and screening out ... | 0.418459 | 0.205296 |
from vscrapy.vscrapy.scrapy_redis_mod.spiders import (
RedisSpider,
load_spider_from_module,
save_script_as_a_module_file,
)
import json
import traceback
from scrapy import Request
class VSpider(RedisSpider):
"""Spider that reads urls from redis queue (myspider:start_urls)."""
name = 'v'
def ... | vscrapy/vscrapy/spiders/vspider.py | from vscrapy.vscrapy.scrapy_redis_mod.spiders import (
RedisSpider,
load_spider_from_module,
save_script_as_a_module_file,
)
import json
import traceback
from scrapy import Request
class VSpider(RedisSpider):
"""Spider that reads urls from redis queue (myspider:start_urls)."""
name = 'v'
def ... | 0.211743 | 0.1526 |
import glob
import json
import logging
import os
import re
import sys
from datetime import datetime, timezone
from os.path import basename as pbase
from os.path import join as pjoin
from os.path import splitext as psplit
import pytz
import requests
from discord_webhook import DiscordEmbed, DiscordWebhook
"""
A tools ... | scripts/vtauto_schedule.py | import glob
import json
import logging
import os
import re
import sys
from datetime import datetime, timezone
from os.path import basename as pbase
from os.path import join as pjoin
from os.path import splitext as psplit
import pytz
import requests
from discord_webhook import DiscordEmbed, DiscordWebhook
"""
A tools ... | 0.358465 | 0.105948 |
import unittest
from ladygeek.graph.client import get_graph_url
from ladygeek.graph.entities import User
from py2neo import Graph
class TestUser(unittest.TestCase):
USER_DATA = {'contributors_enabled': False,
'created_at': 'Fri Jun 12 11:13:21 +0000 2009',
'default_profile': Fal... | test/test_neowrapper/test_user.py | import unittest
from ladygeek.graph.client import get_graph_url
from ladygeek.graph.entities import User
from py2neo import Graph
class TestUser(unittest.TestCase):
USER_DATA = {'contributors_enabled': False,
'created_at': 'Fri Jun 12 11:13:21 +0000 2009',
'default_profile': Fal... | 0.289975 | 0.21595 |
__docformat__ = 'epytext'
# Program imports
from base import Encoder
from scalar import Scalar
from multi import Multi
from category import Category
from errors import BaseException, wrap_error
###############################################################################
########## Exception Handling
###... | dev/car_evaluation/encoder/__init__.py | __docformat__ = 'epytext'
# Program imports
from base import Encoder
from scalar import Scalar
from multi import Multi
from category import Category
from errors import BaseException, wrap_error
###############################################################################
########## Exception Handling
###... | 0.690142 | 0.129623 |
import numpy as np
import pandas as pd
from nimbusml.datasets import get_dataset
from nimbusml.ensemble import EnsembleClassifier
from nimbusml.ensemble.feature_selector import RandomFeatureSelector
from nimbusml.ensemble.output_combiner import ClassifierVoting
from nimbusml.ensemble.subset_selector import RandomPartit... | src/python/nimbusml/examples/examples_from_dataframe/EnsembleClassifier_iris_df.py | import numpy as np
import pandas as pd
from nimbusml.datasets import get_dataset
from nimbusml.ensemble import EnsembleClassifier
from nimbusml.ensemble.feature_selector import RandomFeatureSelector
from nimbusml.ensemble.output_combiner import ClassifierVoting
from nimbusml.ensemble.subset_selector import RandomPartit... | 0.654564 | 0.464659 |
from datetime import datetime
from flask import abort, Flask, jsonify
from flask import render_template, request, url_for
from flask_cors import CORS, cross_origin
import json
from models import storage, Task, User, REQUIRED, APP_PORT, APP_HOST
from models.secrets import API_BEARER_TOKEN
import requests
from uuid impor... | web_app/app.py | from datetime import datetime
from flask import abort, Flask, jsonify
from flask import render_template, request, url_for
from flask_cors import CORS, cross_origin
import json
from models import storage, Task, User, REQUIRED, APP_PORT, APP_HOST
from models.secrets import API_BEARER_TOKEN
import requests
from uuid impor... | 0.327668 | 0.10833 |
from oci.util import formatted_flat_dict, NONE_SENTINEL, value_allowed_none_or_none_sentinel # noqa: F401
from oci.decorators import init_model_state_from_kwargs
@init_model_state_from_kwargs
class TaxInfo(object):
"""
Tax details.
"""
def __init__(self, **kwargs):
"""
Initializes ... | src/oci/osp_gateway/models/tax_info.py |
from oci.util import formatted_flat_dict, NONE_SENTINEL, value_allowed_none_or_none_sentinel # noqa: F401
from oci.decorators import init_model_state_from_kwargs
@init_model_state_from_kwargs
class TaxInfo(object):
"""
Tax details.
"""
def __init__(self, **kwargs):
"""
Initializes ... | 0.801081 | 0.365089 |
from __future__ import print_function, unicode_literals
import sys
import traceback
try:
import numpy as np
except ImportError:
NUMPY_AVAILABLE = False
else:
NUMPY_AVAILABLE = True
PRINT_FULL_TRACE = False
class BotError(object):
def __init__(self, (exception, trace), max_number=0, min_number=0, av... | server/src/weblab/admin/bot/data.py | from __future__ import print_function, unicode_literals
import sys
import traceback
try:
import numpy as np
except ImportError:
NUMPY_AVAILABLE = False
else:
NUMPY_AVAILABLE = True
PRINT_FULL_TRACE = False
class BotError(object):
def __init__(self, (exception, trace), max_number=0, min_number=0, av... | 0.324771 | 0.074871 |
from typing import Union, Dict, List
import numpy
def limit_range_np_arr(
arr_data: numpy.array,
min_thres: float = 0,
min_out_val: float = 0,
max_thres: float = 1,
max_out_val: float = 1,
) -> numpy.array:
"""
A function which can be used to limit the range of the numpy array.
For exa... | 06_change_detection/strch_funcs.py | from typing import Union, Dict, List
import numpy
def limit_range_np_arr(
arr_data: numpy.array,
min_thres: float = 0,
min_out_val: float = 0,
max_thres: float = 1,
max_out_val: float = 1,
) -> numpy.array:
"""
A function which can be used to limit the range of the numpy array.
For exa... | 0.881768 | 0.814533 |
from collections import defaultdict
from Qt import QtWidgets, QtCore, QtGui
from ..constants import URN_SCHEME
class NodesGridDelagate(QtWidgets.QStyledItemDelegate):
def paint(self, painter, option, index):
"""
Args:
painter (QtGui.QPainter):
option (QtGui.QStyleOptionV... | NodeGraphQt/widgets/nodes_palette.py | from collections import defaultdict
from Qt import QtWidgets, QtCore, QtGui
from ..constants import URN_SCHEME
class NodesGridDelagate(QtWidgets.QStyledItemDelegate):
def paint(self, painter, option, index):
"""
Args:
painter (QtGui.QPainter):
option (QtGui.QStyleOptionV... | 0.681091 | 0.130368 |
from argo.core.argoLogging import get_logger
tf_logging = get_logger()
import numpy as np
from .EveryNEpochsTFModelImagesHook import EveryNEpochsTFModelImagesHook
from ..utils.ImagesSaver import ImagesSaver
class ImagesGenerateHook(EveryNEpochsTFModelImagesHook):
"""
Hook Generating images by sampling from... | argo/core/hooks/ImagesGenerateHook.py | from argo.core.argoLogging import get_logger
tf_logging = get_logger()
import numpy as np
from .EveryNEpochsTFModelImagesHook import EveryNEpochsTFModelImagesHook
from ..utils.ImagesSaver import ImagesSaver
class ImagesGenerateHook(EveryNEpochsTFModelImagesHook):
"""
Hook Generating images by sampling from... | 0.504639 | 0.253838 |
import config
def load_sheet(filename):
"""
**Purpuse**
Load the Illumina-style SampleSheet (Same format as for bcl2fastq)
# expected format (csv):
FCID Lane SampleID SampleRef Index Description Control Recipe Operator SampleProject
000000000-A8WTD 1 ... | lib.py | import config
def load_sheet(filename):
"""
**Purpuse**
Load the Illumina-style SampleSheet (Same format as for bcl2fastq)
# expected format (csv):
FCID Lane SampleID SampleRef Index Description Control Recipe Operator SampleProject
000000000-A8WTD 1 ... | 0.598077 | 0.369884 |
import argparse
import subprocess
import os
import sys
def getOpt():
parser = argparse.ArgumentParser(description='Pipeline for trimming, mapping paired end plasma DNA')
parser.add_argument('-1','--fq1',required=True, help='read1 fastqfile [string]')
parser.add_argument('-o','--outdir',required=True, help... | genome_tgirt_seq/mapping/DNAmapping.py |
import argparse
import subprocess
import os
import sys
def getOpt():
parser = argparse.ArgumentParser(description='Pipeline for trimming, mapping paired end plasma DNA')
parser.add_argument('-1','--fq1',required=True, help='read1 fastqfile [string]')
parser.add_argument('-o','--outdir',required=True, help... | 0.280814 | 0.105902 |
dayOfWeek = date.today().strftime("%A")
hr = datetime.now().hour
vxxNow = ('VXX', info='last_trade_price')
vxxYest = ('VXX', info='adjusted_previous_close')
spyNow = ('SPY', info='last_trade_price')
spyYest = ('SPY', info='adjusted_previous_close')
mmtmNow = ('MMTM', info='last_trade_price')
mmtmYest = ('... | sullysSentivestorImplementation.py | dayOfWeek = date.today().strftime("%A")
hr = datetime.now().hour
vxxNow = ('VXX', info='last_trade_price')
vxxYest = ('VXX', info='adjusted_previous_close')
spyNow = ('SPY', info='last_trade_price')
spyYest = ('SPY', info='adjusted_previous_close')
mmtmNow = ('MMTM', info='last_trade_price')
mmtmYest = ('... | 0.102002 | 0.263265 |
import os
import numpy as np
import pandas as pd
import pickle
from multiprocessing import Pool
import configs as cf
def multi_processing_create_image(inputs):
out_dir, six, foreground_margin, class_diameters, mode = inputs
print('proceesing {} {}'.format(out_dir, six))
img = np.random.rand(320, 320)
... | experiments/toy_exp/generate_toys.py |
import os
import numpy as np
import pandas as pd
import pickle
from multiprocessing import Pool
import configs as cf
def multi_processing_create_image(inputs):
out_dir, six, foreground_margin, class_diameters, mode = inputs
print('proceesing {} {}'.format(out_dir, six))
img = np.random.rand(320, 320)
... | 0.203312 | 0.232517 |
import feature
import feature.ngram
import feature.pos
def extract_stat_features_s(row):
return extract_stat_features(row, 'selftext')
def extract_stat_features_c(row):
return extract_stat_features(row, 'body')
def extract_stat_features(row, text_column):
text = row[text_column].encode('ascii', 'ignore... | corpus/mysql/util.py | import feature
import feature.ngram
import feature.pos
def extract_stat_features_s(row):
return extract_stat_features(row, 'selftext')
def extract_stat_features_c(row):
return extract_stat_features(row, 'body')
def extract_stat_features(row, text_column):
text = row[text_column].encode('ascii', 'ignore... | 0.343342 | 0.382026 |
import asyncio
import logging
from typing import Any, Awaitable, Dict, List, Optional, Tuple, Union
import aiohttp
from yarl import URL
_LOGGER = logging.getLogger(__name__)
ALLOWED_ORIENTATIONS = ["landscape", "upsidedown", "portrait", "upsidedown_portrait"]
class PyDroidIPCam:
"""The Android dev... | pydroid_ipcam/__init__.py | import asyncio
import logging
from typing import Any, Awaitable, Dict, List, Optional, Tuple, Union
import aiohttp
from yarl import URL
_LOGGER = logging.getLogger(__name__)
ALLOWED_ORIENTATIONS = ["landscape", "upsidedown", "portrait", "upsidedown_portrait"]
class PyDroidIPCam:
"""The Android dev... | 0.856392 | 0.164785 |
from __future__ import absolute_import
import logging
import os
import time
from AoC_2016.d12_assembunny_computer_class_instrospection.assembunny_instructions import Computer
SCRIPT_DIR = os.path.dirname(__file__)
INPUT_FILE = "input/input.txt"
logging.basicConfig(level=logging.DEBUG,
format="%(asct... | src/AoC_2016/d25_assembunny3_loop_raise_StopIteration/assembunny_clock_signal.py | from __future__ import absolute_import
import logging
import os
import time
from AoC_2016.d12_assembunny_computer_class_instrospection.assembunny_instructions import Computer
SCRIPT_DIR = os.path.dirname(__file__)
INPUT_FILE = "input/input.txt"
logging.basicConfig(level=logging.DEBUG,
format="%(asct... | 0.546012 | 0.144239 |
import time, sys, warnings, math
from fcmaes import retry, advretry
from fcmaes.optimizer import logger, de_cma, Bite_cpp, De_cpp, Cma_cpp, LDe_cpp, Minimize, dtime
from fcmaes.de import DE
from fcmaes.cmaes import Cmaes
import numpy as np
from scipy.integrate import ode
from scipy.optimize import Bounds
import ctype... | examples/lotka.py | import time, sys, warnings, math
from fcmaes import retry, advretry
from fcmaes.optimizer import logger, de_cma, Bite_cpp, De_cpp, Cma_cpp, LDe_cpp, Minimize, dtime
from fcmaes.de import DE
from fcmaes.cmaes import Cmaes
import numpy as np
from scipy.integrate import ode
from scipy.optimize import Bounds
import ctype... | 0.550124 | 0.403214 |
from panda3d.core import *
class MarginCell(NodePath):
def __init__(self, manager):
NodePath.__init__(self, 'cell')
self.manager = manager
self.content = None
self.available = False
self.debugSquare = None
self.debugMode = False
self.setDebug(config.GetBool(... | v2.5.7/otp/margins/MarginCell.py | from panda3d.core import *
class MarginCell(NodePath):
def __init__(self, manager):
NodePath.__init__(self, 'cell')
self.manager = manager
self.content = None
self.available = False
self.debugSquare = None
self.debugMode = False
self.setDebug(config.GetBool(... | 0.44565 | 0.101367 |
from collections import defaultdict
from pybgl.graph import DirectedGraph, Graph, EdgeDescriptor, UndirectedGraph, add_edge, num_edges, num_vertices, vertices
from pybgl.breadth_first_search import DefaultBreadthFirstSearchVisitor, breadth_first_search, BLACK
from pybgl.property_map ... | tests/test_breadth_first_search.py |
from collections import defaultdict
from pybgl.graph import DirectedGraph, Graph, EdgeDescriptor, UndirectedGraph, add_edge, num_edges, num_vertices, vertices
from pybgl.breadth_first_search import DefaultBreadthFirstSearchVisitor, breadth_first_search, BLACK
from pybgl.property_map ... | 0.743727 | 0.347426 |
import connexion
from stablemanager.models.api_response import ApiResponse
from stablemanager.models.association import Association
from stablemanager.models.horse import Horse
from stablemanager.models.schedule_summary import ScheduleSummary
from datetime import date, datetime
from typing import List, Dict
from six im... | api/stablemanager/controllers/horse_controller.py | import connexion
from stablemanager.models.api_response import ApiResponse
from stablemanager.models.association import Association
from stablemanager.models.horse import Horse
from stablemanager.models.schedule_summary import ScheduleSummary
from datetime import date, datetime
from typing import List, Dict
from six im... | 0.780286 | 0.45641 |
from zipfile import ZipFile
import os
import sys
def getAllFilePaths(directory):
# initializing empty file paths list
filePaths = []
# crawling through directory and subdirectories
for root, directories, files in os.walk(directory):
for filename in files:
# join the t... | Python/ZipAndUnzip/zipunzip.py | from zipfile import ZipFile
import os
import sys
def getAllFilePaths(directory):
# initializing empty file paths list
filePaths = []
# crawling through directory and subdirectories
for root, directories, files in os.walk(directory):
for filename in files:
# join the t... | 0.123921 | 0.132739 |
from django.test import TestCase
from datetime import datetime
from decimal import Decimal
from fms_core.template_importer.importers import TransferImporter
from fms_core.tests.test_template_importers._utils import load_template, APP_DATA_ROOT
from fms_core.models import Sample, Container, SampleKind, ProcessMeasurem... | backend/fms_core/tests/test_template_importers/transfer_test.py | from django.test import TestCase
from datetime import datetime
from decimal import Decimal
from fms_core.template_importer.importers import TransferImporter
from fms_core.tests.test_template_importers._utils import load_template, APP_DATA_ROOT
from fms_core.models import Sample, Container, SampleKind, ProcessMeasurem... | 0.446253 | 0.370624 |
__author__ = '<EMAIL> (<NAME>)'
import json
import logging
import os
import random
import urllib
import urlparse
from tornado import httpclient, options
from viewfinder.backend.base import base_options, secrets, util
options.define('create', default=False,
help='Create test users, each with a random s... | backend/www/test/facebook_utils.py | __author__ = '<EMAIL> (<NAME>)'
import json
import logging
import os
import random
import urllib
import urlparse
from tornado import httpclient, options
from viewfinder.backend.base import base_options, secrets, util
options.define('create', default=False,
help='Create test users, each with a random s... | 0.225672 | 0.088033 |
import pandas as pd
import boto3
import time
from botocore.exceptions import ClientError
class PClusterCostEstimator:
def __init__(self, cur_db_name, cur_table_name, query_bucket_name, query_path_name):
self.cur_db_name=cur_db_name
self.cur_table_name=cur_table_name
self.query_bucket_nam... | notebooks/parallelcluster/pcluster_cost_estimator.py |
import pandas as pd
import boto3
import time
from botocore.exceptions import ClientError
class PClusterCostEstimator:
def __init__(self, cur_db_name, cur_table_name, query_bucket_name, query_path_name):
self.cur_db_name=cur_db_name
self.cur_table_name=cur_table_name
self.query_bucket_nam... | 0.415492 | 0.074534 |
import numpy as np
from numpy.linalg import solve
from scipy.linalg import eig
from scipy.linalg import eigh
def get_power_spectral_density_matrix(observation, mask=None):
"""
Calculates the weighted power spectral density matrix.
This does not yet work with more than one target mask.
:param observa... | fgnt/beamforming.py | import numpy as np
from numpy.linalg import solve
from scipy.linalg import eig
from scipy.linalg import eigh
def get_power_spectral_density_matrix(observation, mask=None):
"""
Calculates the weighted power spectral density matrix.
This does not yet work with more than one target mask.
:param observa... | 0.893426 | 0.778397 |
class CompanyInfoDifiResponse(object):
"""Implementation of the 'CompanyInfoDifiResponse' model.
TODO: type model description here.
Attributes:
org_nr (string): TODO: type description here.
org_name (string): TODO: type description here.
address (string): TODO: type descr... | idfy_rest_client/models/company_info_difi_response.py | class CompanyInfoDifiResponse(object):
"""Implementation of the 'CompanyInfoDifiResponse' model.
TODO: type model description here.
Attributes:
org_nr (string): TODO: type description here.
org_name (string): TODO: type description here.
address (string): TODO: type descr... | 0.454472 | 0.217628 |
# *** General modules imports. *** #
import torch.autograd as autograd
# *** Import own functions. *** #
from settings import Settings, validate_argparse_args
import helpers.classes_instantiator as _classes
from helpers.trainer.model_evaluation_module import ModelEvaluationModule
from datasets.dat... | main.py |
# *** General modules imports. *** #
import torch.autograd as autograd
# *** Import own functions. *** #
from settings import Settings, validate_argparse_args
import helpers.classes_instantiator as _classes
from helpers.trainer.model_evaluation_module import ModelEvaluationModule
from datasets.dat... | 0.671578 | 0.281328 |
from nose.tools import assert_equal, assert_true, raises
from .. import HitPointsChangedRecord
class TestHitPointsChangedRecord(object):
def test_from_message(self):
message = '|-damage|p1a: eggs|10\/100'
record = HitPointsChangedRecord.from_message(message)
assert_equal(record.targeted... | clare/clare/models/tests/test_hit_points_changed_record.py |
from nose.tools import assert_equal, assert_true, raises
from .. import HitPointsChangedRecord
class TestHitPointsChangedRecord(object):
def test_from_message(self):
message = '|-damage|p1a: eggs|10\/100'
record = HitPointsChangedRecord.from_message(message)
assert_equal(record.targeted... | 0.781247 | 0.38975 |
from typing import Optional, Tuple
from tensornetwork.tensor import Tensor
def svd(
tensor: Tensor,
pivot_axis: int = -1,
max_singular_values: Optional[int] = None,
max_truncation_error: Optional[float] = None,
relative: Optional[bool] = False
) -> Tuple[Tensor, Tensor, Tensor, Tensor]:
"""Comp... | tensornetwork/linalg/linalg.py |
from typing import Optional, Tuple
from tensornetwork.tensor import Tensor
def svd(
tensor: Tensor,
pivot_axis: int = -1,
max_singular_values: Optional[int] = None,
max_truncation_error: Optional[float] = None,
relative: Optional[bool] = False
) -> Tuple[Tensor, Tensor, Tensor, Tensor]:
"""Comp... | 0.967975 | 0.953405 |
import cv2
import settings
def get_cam_frames(camera_port=0):
cap = out = None
try:
cap = cv2.VideoCapture(camera_port)
# Get the width and height of frame
width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH) + 0.5)
height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT) + 0.5)
# De... | main.py | import cv2
import settings
def get_cam_frames(camera_port=0):
cap = out = None
try:
cap = cv2.VideoCapture(camera_port)
# Get the width and height of frame
width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH) + 0.5)
height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT) + 0.5)
# De... | 0.478041 | 0.244307 |
import numpy as np
import os.path as osp
import mmcv
from mmcv.parallel import DataContainer as DC
from pycocotools.coco import COCO
from .video_dataset import VideoDataset
from .video_parser import VID
from qd3dt.datasets.registry import DATASETS
from qd3dt.datasets.utils import to_tensor
@DATASETS.register_module... | qd3dt/datasets/video/bdd_vid_3d.py | import numpy as np
import os.path as osp
import mmcv
from mmcv.parallel import DataContainer as DC
from pycocotools.coco import COCO
from .video_dataset import VideoDataset
from .video_parser import VID
from qd3dt.datasets.registry import DATASETS
from qd3dt.datasets.utils import to_tensor
@DATASETS.register_module... | 0.182717 | 0.32356 |
# All rights reserved.
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# 1. Redistributions of source code must retain the above copyright notice,
# this list of conditions and the following disclaimer.
# 2. Redistrib... | pybvc/common/utils.py |
# All rights reserved.
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# 1. Redistributions of source code must retain the above copyright notice,
# this list of conditions and the following disclaimer.
# 2. Redistrib... | 0.422981 | 0.102709 |
import jax.numpy as jnp
import numpy as np
import pyccl as ccl
from numpy.testing import assert_allclose
import jax_cosmo.background as bkgrd
from jax_cosmo import Cosmology
def test_H():
# We first define equivalent CCL and jax_cosmo cosmologies
cosmo_ccl = ccl.Cosmology(
Omega_c=0.3,
Omega_... | tests/test_background.py | import jax.numpy as jnp
import numpy as np
import pyccl as ccl
from numpy.testing import assert_allclose
import jax_cosmo.background as bkgrd
from jax_cosmo import Cosmology
def test_H():
# We first define equivalent CCL and jax_cosmo cosmologies
cosmo_ccl = ccl.Cosmology(
Omega_c=0.3,
Omega_... | 0.748168 | 0.428233 |
import unittest, random, sys, time
sys.path.extend(['.','..','../..','py'])
import h2o2 as h2o
import h2o_cmd, h2o_browse as h2b, h2o_import as h2i, h2o_exec as h2e
from h2o_xl import Key, KeyIndexed, Fcn,Seq, Colon, Assign, Item, Expr, Col, Cut
print "Slice many rows"
def write_syn_dataset(csvPathname, rowCount, col... | py2/testdir_rapids/test_rapids_cut.py | import unittest, random, sys, time
sys.path.extend(['.','..','../..','py'])
import h2o2 as h2o
import h2o_cmd, h2o_browse as h2b, h2o_import as h2i, h2o_exec as h2e
from h2o_xl import Key, KeyIndexed, Fcn,Seq, Colon, Assign, Item, Expr, Col, Cut
print "Slice many rows"
def write_syn_dataset(csvPathname, rowCount, col... | 0.211417 | 0.23683 |
from django.db import models
# Create your models here.
class Maike7kOK(models.Model):
ciping = models.CharField(max_length=200, blank=True, null=True)
en = models.CharField(unique=True, max_length=200, blank=True, null=True)
zh = models.CharField(max_length=500, blank=True, null=True)
beizhu = models.... | language/spiderData/models.py | from django.db import models
# Create your models here.
class Maike7kOK(models.Model):
ciping = models.CharField(max_length=200, blank=True, null=True)
en = models.CharField(unique=True, max_length=200, blank=True, null=True)
zh = models.CharField(max_length=500, blank=True, null=True)
beizhu = models.... | 0.421671 | 0.080141 |
import unittest
from time import time
import numpy
from scipy.linalg import lstsq
from statsmodels.api import OLS
from sklearn.linear_model import LinearRegression
from regressor import linregress
def difference(first, second):
return abs(first - second)
def relative_diff(first, second):
delta = first / sec... | tests/test_regressor_multiple.py | import unittest
from time import time
import numpy
from scipy.linalg import lstsq
from statsmodels.api import OLS
from sklearn.linear_model import LinearRegression
from regressor import linregress
def difference(first, second):
return abs(first - second)
def relative_diff(first, second):
delta = first / sec... | 0.759493 | 0.727274 |
nyan = ["""r-0-32
g-5-2 a-5-2 e-5-1 e-5-2 c-5-1 d#5-1 d-5-1 c-5-2 c-5-2 d-5-2
d#5-2 d#5-1 d-5-1 c-5-1 d-5-1 e-5-1 g-5-1
a-5-1 e-5-1 g-5-1 d-5-1 e-5-1 c-5-1 d-5-1 c-5-1
e-5-2 g-5-2 a-5-1 e-5-1 g-5-1 d-5-1
e-5-1 c-5-1 d#5-1 e-5-1 d#5-1 d-5-1 c-5-1 d-5-1
d#5-2 c-5-1 d-5-1 e-5-1 g-5-1 d-5-1 e-5-1 d-5-1 c-5-1 d-5-2 c-5-2 ... | genesis/tools/makenyan.py |
nyan = ["""r-0-32
g-5-2 a-5-2 e-5-1 e-5-2 c-5-1 d#5-1 d-5-1 c-5-2 c-5-2 d-5-2
d#5-2 d#5-1 d-5-1 c-5-1 d-5-1 e-5-1 g-5-1
a-5-1 e-5-1 g-5-1 d-5-1 e-5-1 c-5-1 d-5-1 c-5-1
e-5-2 g-5-2 a-5-1 e-5-1 g-5-1 d-5-1
e-5-1 c-5-1 d#5-1 e-5-1 d#5-1 d-5-1 c-5-1 d-5-1
d#5-2 c-5-1 d-5-1 e-5-1 g-5-1 d-5-1 e-5-1 d-5-1 c-5-1 d-5-2 c-5-2 ... | 0.265595 | 0.310995 |
from django.shortcuts import render, redirect
from django.contrib.auth import authenticate, login,logout
from django.contrib.auth.models import User
from django.contrib.auth.decorators import login_required
from django.contrib import messages
from authentication.Forms import RegisterForm,LoginForm
# Create your views ... | authentication/views.py | from django.shortcuts import render, redirect
from django.contrib.auth import authenticate, login,logout
from django.contrib.auth.models import User
from django.contrib.auth.decorators import login_required
from django.contrib import messages
from authentication.Forms import RegisterForm,LoginForm
# Create your views ... | 0.377885 | 0.048003 |
import jsonschema
import mock
from rally.benchmark.context import base
from rally import exceptions
from rally import utils
from tests import fakes
from tests import test
class BaseContextTestCase(test.TestCase):
def test_init(self):
context = {
"config": {
"a": 1,
... | tests/benchmark/context/test_base.py |
import jsonschema
import mock
from rally.benchmark.context import base
from rally import exceptions
from rally import utils
from tests import fakes
from tests import test
class BaseContextTestCase(test.TestCase):
def test_init(self):
context = {
"config": {
"a": 1,
... | 0.645455 | 0.294405 |
from random import random, choice
from time import sleep
from typing import Sequence, List
from engine.inventory_item import InventoryItem
from engine.transition import Transition
from engine.place import Place
from engine.event import Event
def _dump_event(event: Event, is_else, condition_description, level=1):
... | engine/game.py | from random import random, choice
from time import sleep
from typing import Sequence, List
from engine.inventory_item import InventoryItem
from engine.transition import Transition
from engine.place import Place
from engine.event import Event
def _dump_event(event: Event, is_else, condition_description, level=1):
... | 0.507812 | 0.198413 |
import pytesseract
from PIL import Image
import datetime
import cv2
import sys
import os
import os.path
import re
import numpy as np
pytesseract.pytesseract.tesseract_cmd = r'C:\Users\MOHITBHAT\Tesseract-OCR\tesseract'
TESSDATA_PREFIX = r'C:\Users\MOHITBHAT\Tesseract-OCR'
class Text_Extractor():
#Constructor
de... | public/python/rc_ocr.py | import pytesseract
from PIL import Image
import datetime
import cv2
import sys
import os
import os.path
import re
import numpy as np
pytesseract.pytesseract.tesseract_cmd = r'C:\Users\MOHITBHAT\Tesseract-OCR\tesseract'
TESSDATA_PREFIX = r'C:\Users\MOHITBHAT\Tesseract-OCR'
class Text_Extractor():
#Constructor
de... | 0.133302 | 0.215145 |
import os
import logging
import time
import json
from collections import OrderedDict
import boto3
from botocore.exceptions import ClientError
LOGGER = logging.getLogger()
LOGGER.setLevel(logging.INFO)
def assume_role(aws_account_number, role_name, region='us-west-2'):
"""
Assumes the provided role in each acc... | scripts/accountBootstrap.py | import os
import logging
import time
import json
from collections import OrderedDict
import boto3
from botocore.exceptions import ClientError
LOGGER = logging.getLogger()
LOGGER.setLevel(logging.INFO)
def assume_role(aws_account_number, role_name, region='us-west-2'):
"""
Assumes the provided role in each acc... | 0.522933 | 0.125039 |
from __future__ import print_function
from __future__ import absolute_import
from optparse import OptionParser
import os
import platform as plat
import sys
if sys.version_info >= (3, 8) and plat.system().lower() == "windows":
# pylint: disable=no-member
with os.add_dll_directory(os.getenv('BLPAPI_LIBDIR')):
... | examples/GenerateTokenSubscriptionExample.py | from __future__ import print_function
from __future__ import absolute_import
from optparse import OptionParser
import os
import platform as plat
import sys
if sys.version_info >= (3, 8) and plat.system().lower() == "windows":
# pylint: disable=no-member
with os.add_dll_directory(os.getenv('BLPAPI_LIBDIR')):
... | 0.435661 | 0.068631 |
#导入模块
import sys
import json
import prettytable as pt
#定义参数
RESULT = {}
USERINFO = ("yuanyuan","<PASSWORD>") #定义认证信息-元组，用圆括号，不能修改。
ini_fail_times = 0
Max_fail_times = 6
FIELDS = {}
while ini_fail_times < Max_fail_times:
username = input("please input username: ")
password = input("plese input password: "... | lesson03/yuanyuan/zuoye_v3.py | #导入模块
import sys
import json
import prettytable as pt
#定义参数
RESULT = {}
USERINFO = ("yuanyuan","<PASSWORD>") #定义认证信息-元组，用圆括号，不能修改。
ini_fail_times = 0
Max_fail_times = 6
FIELDS = {}
while ini_fail_times < Max_fail_times:
username = input("please input username: ")
password = input("plese input password: "... | 0.029354 | 0.115736 |
from __future__ import print_function
import unittest
import numpy
from rdkit import Chem
from rdkit.Chem import EState
class TestCase(unittest.TestCase):
def setUp(self):
#print '\n%s: '%self.shortDescription(),
pass
def _validate(self,vals,tol=1e-2,show=0):
for smi,ans in vals:
mol = Chem.MolF... | third_party_package/RDKit_2015_03_1/rdkit/Chem/EState/UnitTestEState.py | from __future__ import print_function
import unittest
import numpy
from rdkit import Chem
from rdkit.Chem import EState
class TestCase(unittest.TestCase):
def setUp(self):
#print '\n%s: '%self.shortDescription(),
pass
def _validate(self,vals,tol=1e-2,show=0):
for smi,ans in vals:
mol = Chem.MolF... | 0.212804 | 0.457803 |
import os
import dj_database_url
SCHEME = "https"
AUTH_USER_MODEL = "account.User"
LOGOUT_REDIRECT_URL = "/"
LOGIN_REDIRECT_URL = "/"
LOGIN_URL = "/login/"
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
# SECURITY WARNING: keep the secret key used in production secret!
SECRET_KEY = os.envir... | server/mahjong_portal/settings.py | import os
import dj_database_url
SCHEME = "https"
AUTH_USER_MODEL = "account.User"
LOGOUT_REDIRECT_URL = "/"
LOGIN_REDIRECT_URL = "/"
LOGIN_URL = "/login/"
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
# SECURITY WARNING: keep the secret key used in production secret!
SECRET_KEY = os.envir... | 0.321247 | 0.114121 |
from ..common_descs import *
from .objs.tag import *
from supyr_struct.defs.tag_def import TagDef
chgd_hud_global_biped = (
"spartan",
"elite",
"monitor",
)
chgd_hud_global_hud_attribute = Struct("hud_attribute",
Bool32("resolution_flags",
"wide_full",
"wide_half... | h3/defs/chgd.py |
from ..common_descs import *
from .objs.tag import *
from supyr_struct.defs.tag_def import TagDef
chgd_hud_global_biped = (
"spartan",
"elite",
"monitor",
)
chgd_hud_global_hud_attribute = Struct("hud_attribute",
Bool32("resolution_flags",
"wide_full",
"wide_half... | 0.300027 | 0.157914 |
import time
from inky import InkyPHAT, InkyWHAT
from PIL import Image
from PIL import ImageDraw
from PIL import ImageFont
from datetime import datetime
from time import gmtime, strftime
from LibScheduler import Scheduler
from DarkSkyPlugin import DarkSkyPlugin
from TflPlugin import TflPlugin
from ScreenUpdatePlugin im... | Main.py | import time
from inky import InkyPHAT, InkyWHAT
from PIL import Image
from PIL import ImageDraw
from PIL import ImageFont
from datetime import datetime
from time import gmtime, strftime
from LibScheduler import Scheduler
from DarkSkyPlugin import DarkSkyPlugin
from TflPlugin import TflPlugin
from ScreenUpdatePlugin im... | 0.400398 | 0.087798 |
"""Policy Enforcement for placement API."""
import typing as ty
from oslo_config import cfg
from oslo_log import log as logging
from oslo_policy import opts as policy_opts
from oslo_policy import policy
from oslo_utils import excutils
from placement import exception
from placement import policies
LOG = logging.get... | placement/policy.py | """Policy Enforcement for placement API."""
import typing as ty
from oslo_config import cfg
from oslo_log import log as logging
from oslo_policy import opts as policy_opts
from oslo_policy import policy
from oslo_utils import excutils
from placement import exception
from placement import policies
LOG = logging.get... | 0.664649 | 0.152158 |
from mapped_enum import enum_map
from enum import Enum
import unittest
class TestMapping(unittest.TestCase):
def setUp(self):
@enum_map(['color', 'sound'])
class Animal(Enum):
CHOCOLATE_LAB = 'brown', 'woof'
TABBY_CAT = 'orange', 'meow'
LION = 'yellow', 'roar'
... | test.py | from mapped_enum import enum_map
from enum import Enum
import unittest
class TestMapping(unittest.TestCase):
def setUp(self):
@enum_map(['color', 'sound'])
class Animal(Enum):
CHOCOLATE_LAB = 'brown', 'woof'
TABBY_CAT = 'orange', 'meow'
LION = 'yellow', 'roar'
... | 0.786336 | 0.505615 |
from functools import partial
from os.path import dirname
import re
import sys
from .utils import yaml
from constructor.exceptions import (UnableToParse, UnableToParseMissingJinja2,
YamlParsingError)
# list of tuples (key name, required, type, description)
KEYS = [
('name', ... | constructor/construct.py | channels_remap:
-
src: file:///tmp/a3/conda-bld
dest: https://repo.anaconda.com/pkgs/main
-
src: file:///tmp/r/conda-bld
dest: https://repo.anaconda.com/pkgs/r | 0.668231 | 0.676713 |
import numpy as np
import tensorflow as tf
from scipy.io import loadmat
def sigmoid_prime(z):
return tf.multiply(z, (1-z))
def get_layer(X, theta, name):
with tf.name_scope(name):
# note feedfwd layer's matmul as was the case for classification
return tf.sigmoid(tf.matmul(X, theta, transpose_b=True))
... | neural-net/backpropagation.py | import numpy as np
import tensorflow as tf
from scipy.io import loadmat
def sigmoid_prime(z):
return tf.multiply(z, (1-z))
def get_layer(X, theta, name):
with tf.name_scope(name):
# note feedfwd layer's matmul as was the case for classification
return tf.sigmoid(tf.matmul(X, theta, transpose_b=True))
... | 0.549036 | 0.565359 |
from __future__ import absolute_import, division, print_function
import os
import math
import copy
import random
import matplotlib.pyplot as plt
from vivarium.compartment.process import Process
from vivarium.utils.units import units
LIGAND_ID = 'MeAsp'
STEADY_STATE_DELTA = 1e-6
INITIAL_STATE = {
'n_methyl': 2... | vivarium/processes/Endres2006_chemoreceptor.py | from __future__ import absolute_import, division, print_function
import os
import math
import copy
import random
import matplotlib.pyplot as plt
from vivarium.compartment.process import Process
from vivarium.utils.units import units
LIGAND_ID = 'MeAsp'
STEADY_STATE_DELTA = 1e-6
INITIAL_STATE = {
'n_methyl': 2... | 0.543106 | 0.301606 |
import testbase
from sqlalchemy import *
class CompileTest(testbase.AssertMixin):
"""test various mapper compilation scenarios"""
def tearDownAll(self):
clear_mappers()
def testone(self):
global metadata, order, employee, product, tax, orderproduct
metadata = BoundMetaData(... | sqlalchemy/sqlalchemy-0.3.6+codebay/test/orm/compile.py | import testbase
from sqlalchemy import *
class CompileTest(testbase.AssertMixin):
"""test various mapper compilation scenarios"""
def tearDownAll(self):
clear_mappers()
def testone(self):
global metadata, order, employee, product, tax, orderproduct
metadata = BoundMetaData(... | 0.45181 | 0.313577 |
from typing import List
import os
import numpy as np
from flairrelex.data import Dictionary, Sentence
class Metric(object):
def __init__(self, name):
self.name = name
self._tp = 0.0
self._fp = 0.0
self._tn = 0.0
self._fn = 0.0
def tp(self):
self._tp += 1
... | flairrelex/training_utils.py | from typing import List
import os
import numpy as np
from flairrelex.data import Dictionary, Sentence
class Metric(object):
def __init__(self, name):
self.name = name
self._tp = 0.0
self._fp = 0.0
self._tn = 0.0
self._fn = 0.0
def tp(self):
self._tp += 1
... | 0.872225 | 0.401394 |
import sys
from logging import Logger
from os import devnull
from paramiko import AutoAddPolicy, RSAKey, SSHClient
from paramiko_expect import SSHClientInteraction
class Server:
"""Initiates ``Server`` object to create an SSH session to configure the server.
>>> Server
"""
def __init__(self, hostn... | vpn/server.py | import sys
from logging import Logger
from os import devnull
from paramiko import AutoAddPolicy, RSAKey, SSHClient
from paramiko_expect import SSHClientInteraction
class Server:
"""Initiates ``Server`` object to create an SSH session to configure the server.
>>> Server
"""
def __init__(self, hostn... | 0.553988 | 0.166675 |
from datetime import datetime
from mongoengine import StringField, BooleanField, queryset_manager, DateTimeField, Document
from mongoengine.connection import _get_db
import pymongo
class BaseDocument(Document):
meta = {'abstract': True}
created_on = DateTimeField(default=datetime.utcnow())
@classmetho... | panic/mongo.py | from datetime import datetime
from mongoengine import StringField, BooleanField, queryset_manager, DateTimeField, Document
from mongoengine.connection import _get_db
import pymongo
class BaseDocument(Document):
meta = {'abstract': True}
created_on = DateTimeField(default=datetime.utcnow())
@classmetho... | 0.763924 | 0.184768 |
import metview as mv
# read BUFR data
filename = "synop.bufr"
if mv.exist(filename):
synop_bufr = mv.read(filename)
else:
synop_bufr = mv.gallery.load_dataset(filename)
# filter just the 500 hPa temperature from the obs data (Geopoints)
gpt = mv.obsfilter(output="geopoints", parameter="airTemperatureAt2M", d... | docs/gallery/coloured_obs_values_in_circles.py |
import metview as mv
# read BUFR data
filename = "synop.bufr"
if mv.exist(filename):
synop_bufr = mv.read(filename)
else:
synop_bufr = mv.gallery.load_dataset(filename)
# filter just the 500 hPa temperature from the obs data (Geopoints)
gpt = mv.obsfilter(output="geopoints", parameter="airTemperatureAt2M", d... | 0.55254 | 0.385548 |
from typing import (
Dict,
Optional,
)
from galaxy.util.tool_version import remove_version_from_guid
from .interface import ToolLineage
class LineageMap:
"""Map each unique tool id to a lineage object."""
def __init__(self, app):
self.lineage_map: Dict[str, ToolLineage] = {}
self.app... | lib/galaxy/tool_util/toolbox/lineages/factory.py | from typing import (
Dict,
Optional,
)
from galaxy.util.tool_version import remove_version_from_guid
from .interface import ToolLineage
class LineageMap:
"""Map each unique tool id to a lineage object."""
def __init__(self, app):
self.lineage_map: Dict[str, ToolLineage] = {}
self.app... | 0.885638 | 0.180576 |
import argparse
import functools
import json
import os.path
import sys
from concurrent.futures import ProcessPoolExecutor
from pathlib import Path
from typing import Any
from typing import Dict
from typing import List
import PIL.Image
import UnityPy
from UnityPy.classes import Object
from UnityPy.classes import PPtr
f... | tools/extractor/main.py | import argparse
import functools
import json
import os.path
import sys
from concurrent.futures import ProcessPoolExecutor
from pathlib import Path
from typing import Any
from typing import Dict
from typing import List
import PIL.Image
import UnityPy
from UnityPy.classes import Object
from UnityPy.classes import PPtr
f... | 0.407333 | 0.10235 |
import numpy
from plyfile import PlyData, PlyElement
def ply_autocut(inputfile, outputfile, percent):
plydata = PlyData.read(inputfile)
print (plydata['vertex'].dtype)
x = plydata['vertex']['x'].copy()
y = plydata['vertex']['y'].copy()
z = plydata['vertex']['z'].copy()
nx = plydata['vertex']['nx'].copy()... | scripts/sfm_toolkits/ezxr_sfm/ply_operator/ply_cut.py | import numpy
from plyfile import PlyData, PlyElement
def ply_autocut(inputfile, outputfile, percent):
plydata = PlyData.read(inputfile)
print (plydata['vertex'].dtype)
x = plydata['vertex']['x'].copy()
y = plydata['vertex']['y'].copy()
z = plydata['vertex']['z'].copy()
nx = plydata['vertex']['nx'].copy()... | 0.221772 | 0.295152 |
import re
from time import sleep
from typing import Dict, Optional, Tuple
from bs4 import BeautifulSoup
from requests import HTTPError, Response
from dhlmex.exceptions import DhlmexException
from dhlmex.resources.origin import Origin
from .base import Resource
from .destination import Destination
from .order_details... | dhlmex/resources/guides.py | import re
from time import sleep
from typing import Dict, Optional, Tuple
from bs4 import BeautifulSoup
from requests import HTTPError, Response
from dhlmex.exceptions import DhlmexException
from dhlmex.resources.origin import Origin
from .base import Resource
from .destination import Destination
from .order_details... | 0.609059 | 0.116487 |
from unittest.mock import patch
from django.test import TestCase
from ..forms import NewJobForm
from libya_elections.constants import CENTER_ID_LENGTH
class NewJobFormTestCase(TestCase):
def test_simple_case_ok(self):
"""test simple positive case of form submission"""
data = {
'name'... | rollgen/tests/test_forms.py | from unittest.mock import patch
from django.test import TestCase
from ..forms import NewJobForm
from libya_elections.constants import CENTER_ID_LENGTH
class NewJobFormTestCase(TestCase):
def test_simple_case_ok(self):
"""test simple positive case of form submission"""
data = {
'name'... | 0.661048 | 0.552298 |
import struct
import logging
import threading
import time
from pox.core import core
from pox.openflow.libopenflow_01 import *
import pymongo as mongo
import rflib.ipc.IPC as IPC
import rflib.ipc.MongoIPC as MongoIPC
from rflib.ipc.RFProtocol import *
from rflib.ipc.RFProtocolFactory import RFProtocolFactory
from rfli... | pox/ext/rfproxy.py | import struct
import logging
import threading
import time
from pox.core import core
from pox.openflow.libopenflow_01 import *
import pymongo as mongo
import rflib.ipc.IPC as IPC
import rflib.ipc.MongoIPC as MongoIPC
from rflib.ipc.RFProtocol import *
from rflib.ipc.RFProtocolFactory import RFProtocolFactory
from rfli... | 0.232571 | 0.146545 |
from tensorflow.keras.layers import \
Concatenate, Flatten, Reshape,\
SeparableConv2D
from tensorflow.keras.layers import Layer
from tensorflow.keras.initializers import Constant
import tensorflow.keras.backend as K
from tensorflow.keras import initializers
import tensorflow as tf
# l2 normalize
class Normaliz... | model/model_classifer.py | from tensorflow.keras.layers import \
Concatenate, Flatten, Reshape,\
SeparableConv2D
from tensorflow.keras.layers import Layer
from tensorflow.keras.initializers import Constant
import tensorflow.keras.backend as K
from tensorflow.keras import initializers
import tensorflow as tf
# l2 normalize
class Normaliz... | 0.520496 | 0.370595 |
from collections import defaultdict
from typing import TYPE_CHECKING, DefaultDict, Dict, List
import graphene
from django.core.exceptions import ValidationError
from ....core.permissions import ShippingPermissions
from ....core.tracing import traced_atomic_transaction
from ....shipping.error_codes import ShippingErro... | saleor/graphql/shipping/mutations/channels.py | from collections import defaultdict
from typing import TYPE_CHECKING, DefaultDict, Dict, List
import graphene
from django.core.exceptions import ValidationError
from ....core.permissions import ShippingPermissions
from ....core.tracing import traced_atomic_transaction
from ....shipping.error_codes import ShippingErro... | 0.839635 | 0.135375 |
from PIL import ImageGrab # install pillow using pip install
import cv2 # install cv2 using pip install
import numpy as nm # install numpy using pip install
import pyautogui as gui # install pyautogui using pip install
import keyboard # install key... | image to text.py | from PIL import ImageGrab # install pillow using pip install
import cv2 # install cv2 using pip install
import numpy as nm # install numpy using pip install
import pyautogui as gui # install pyautogui using pip install
import keyboard # install key... | 0.193071 | 0.271351 |
import base64
import bcrypt
import codecs
import hashlib
import hmac
import string
import sys
from functools import partial
from hashlib import sha1
from Crypto.Cipher import AES
from Crypto import Random
from Crypto.Random import random
from dorthy.enum import DeclarativeEnum
from dorthy.settings import config
de... | dorthy/security/crypto.py | import base64
import bcrypt
import codecs
import hashlib
import hmac
import string
import sys
from functools import partial
from hashlib import sha1
from Crypto.Cipher import AES
from Crypto import Random
from Crypto.Random import random
from dorthy.enum import DeclarativeEnum
from dorthy.settings import config
de... | 0.401219 | 0.296171 |
from test_base import BaseTestCase
from trytond.tests.test_tryton import USER, DB_NAME, CONTEXT
from trytond.transaction import Transaction
class TestTree(BaseTestCase):
"Test Tree"
def test_0010_node_menu_items(self):
"""
Test to return record of tree node
"""
with Transactio... | tests/test_tree.py | from test_base import BaseTestCase
from trytond.tests.test_tryton import USER, DB_NAME, CONTEXT
from trytond.transaction import Transaction
class TestTree(BaseTestCase):
"Test Tree"
def test_0010_node_menu_items(self):
"""
Test to return record of tree node
"""
with Transactio... | 0.459561 | 0.237985 |
import random
import string
from types import SimpleNamespace
from unittest import mock
import pytest
import redis
import registryclient
from helpers import constants, helper, init_functions
def test_repo_prefix():
assert constants.REPO_PREFIX == "repo_"
def test_manifest_prefix():
assert constants.MANIFE... | tests/test_helpers.py | import random
import string
from types import SimpleNamespace
from unittest import mock
import pytest
import redis
import registryclient
from helpers import constants, helper, init_functions
def test_repo_prefix():
assert constants.REPO_PREFIX == "repo_"
def test_manifest_prefix():
assert constants.MANIFE... | 0.472683 | 0.420064 |
import logging
from os import makedirs, path
import numpy as np
import pandas as pd
class StdLevelFilter(logging.Filter):
def __init__(self, err=False):
super().__init__()
self.err = err
def filter(self, record):
if record.levelno <= logging.INFO:
return not self.err
... | clinicadl/utils/maps_manager/logwriter.py | import logging
from os import makedirs, path
import numpy as np
import pandas as pd
class StdLevelFilter(logging.Filter):
def __init__(self, err=False):
super().__init__()
self.err = err
def filter(self, record):
if record.levelno <= logging.INFO:
return not self.err
... | 0.635562 | 0.175185 |
import os
import slash
from ...lib.common import timefn, get_media, call
from ...lib.gstreamer.util import have_gst, have_gst_element
from ...lib.gstreamer.decoderbase import Decoder
from ...lib.metrics import md5, calculate_psnr
from ...lib.parameters import format_value
from ...lib.util import skip_test_if_missing_... | lib/gstreamer/encoderbase.py |
import os
import slash
from ...lib.common import timefn, get_media, call
from ...lib.gstreamer.util import have_gst, have_gst_element
from ...lib.gstreamer.decoderbase import Decoder
from ...lib.metrics import md5, calculate_psnr
from ...lib.parameters import format_value
from ...lib.util import skip_test_if_missing_... | 0.473414 | 0.08886 |
import logging
import os
from pydocteur.github_api import get_graphql_api
from pydocteur.github_api import get_rest_api
from pydocteur.settings import REPOSITORY_NAME
def get_checks_statuses_conclusions(pr):
logging.info(f"Checking PR #{pr.number} CI results")
commits_sha = [commit.sha for commit in pr.get_c... | pydocteur/pr_status.py | import logging
import os
from pydocteur.github_api import get_graphql_api
from pydocteur.github_api import get_rest_api
from pydocteur.settings import REPOSITORY_NAME
def get_checks_statuses_conclusions(pr):
logging.info(f"Checking PR #{pr.number} CI results")
commits_sha = [commit.sha for commit in pr.get_c... | 0.326271 | 0.176281 |
import numpy as np
from typing import List
from reader.data import Corpus, Sentence
from tensorflow.keras.preprocessing.sequence import pad_sequences
from sklearn.model_selection import train_test_split
class Vocabulary(object):
def __init__(self, train_corpus: Corpus):
self.UNK = "<UNK>"
self.P... | text_cnn/vocab.py | import numpy as np
from typing import List
from reader.data import Corpus, Sentence
from tensorflow.keras.preprocessing.sequence import pad_sequences
from sklearn.model_selection import train_test_split
class Vocabulary(object):
def __init__(self, train_corpus: Corpus):
self.UNK = "<UNK>"
self.P... | 0.805976 | 0.408041 |
import torch
from torch import nn
import torchvision.models as models
import pytorch_lightning as pl
import torch.nn.functional as F
from torchmetrics import Accuracy
import os
class BaselineModel(pl.LightningModule):
def __init__(self, input_channels, n_classes):
super().__init__()
self.batch0 = n... | reformvision/models/baseline_model.py | import torch
from torch import nn
import torchvision.models as models
import pytorch_lightning as pl
import torch.nn.functional as F
from torchmetrics import Accuracy
import os
class BaselineModel(pl.LightningModule):
def __init__(self, input_channels, n_classes):
super().__init__()
self.batch0 = n... | 0.845225 | 0.522263 |
import os
import matplotlib.pyplot as plt
import matplotlib as mpl
import pandas as pd
import numpy as np
# parameter setting
fig_dpi = 100; # inches = pixels / dpi
figsize_inch = list(np.array([800, 600]) / fig_dpi)
save_enable = False
script_path = os.path.split(os.path.realpath(__file__))[0]
image_path = script_pat... | src/python/basic_example/basic_example.py | import os
import matplotlib.pyplot as plt
import matplotlib as mpl
import pandas as pd
import numpy as np
# parameter setting
fig_dpi = 100; # inches = pixels / dpi
figsize_inch = list(np.array([800, 600]) / fig_dpi)
save_enable = False
script_path = os.path.split(os.path.realpath(__file__))[0]
image_path = script_pat... | 0.541166 | 0.405743 |
import logging
from unittest.mock import Mock
from datetime import timedelta
from uuid import uuid4
from utils.mqtt import MQTTSendMessage, MQTTOneShoot
from django.utils import timezone
from alarm.use_cases.alarm_camera_video_manager import AlarmCameraVideoManager
from devices.factories import DeviceFactory
from camer... | core/app/alarm/tests/test_alarm_camera_video_manager.py | import logging
from unittest.mock import Mock
from datetime import timedelta
from uuid import uuid4
from utils.mqtt import MQTTSendMessage, MQTTOneShoot
from django.utils import timezone
from alarm.use_cases.alarm_camera_video_manager import AlarmCameraVideoManager
from devices.factories import DeviceFactory
from camer... | 0.674801 | 0.261626 |
from typing import TYPE_CHECKING, Any, Dict, Generator, List, Optional, Tuple
from graviti.dataframe import DataFrame
from graviti.exception import StatusError
from graviti.manager.branch import Branch
from graviti.manager.common import ALL_BRANCHES, CURRENT_BRANCH, LIMIT, check_head_status
from graviti.manager.lazy i... | graviti/manager/draft.py | from typing import TYPE_CHECKING, Any, Dict, Generator, List, Optional, Tuple
from graviti.dataframe import DataFrame
from graviti.exception import StatusError
from graviti.manager.branch import Branch
from graviti.manager.common import ALL_BRANCHES, CURRENT_BRANCH, LIMIT, check_head_status
from graviti.manager.lazy i... | 0.901887 | 0.202857 |
from pathlib import Path
import argparse
import subprocess
import hashlib
import shutil
import sys
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument('--wrapdev-tree',
help='Project tree. Should be the root of a meson project',
default=Path.cwd())
parser.a... | wrapdevtools/newwrap.py | from pathlib import Path
import argparse
import subprocess
import hashlib
import shutil
import sys
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument('--wrapdev-tree',
help='Project tree. Should be the root of a meson project',
default=Path.cwd())
parser.a... | 0.34798 | 0.059346 |
from google.protobuf.service import RpcController
class Controller(RpcController):
def SetFailed(self, reason):
print "SetFailed:", reason
def IsCanceled(self):
pass
def NotifyOnCancel(self, callback):
pass
from google.protobuf.service import RpcChannel
from twisted.protocols.basi... | twisted/txprotobuf.py |
from google.protobuf.service import RpcController
class Controller(RpcController):
def SetFailed(self, reason):
print "SetFailed:", reason
def IsCanceled(self):
pass
def NotifyOnCancel(self, callback):
pass
from google.protobuf.service import RpcChannel
from twisted.protocols.basi... | 0.485844 | 0.07024 |
import collections
import contextlib
import copy
import csv
import random
import shutil
import threading
import time
class Database(object):
"""Our database of image labels. Use as a context manager to ensure saving."""
def __init__(self, filename, readonly=False, save_backups=True):
"""Open and load the ima... | label_database.py | import collections
import contextlib
import copy
import csv
import random
import shutil
import threading
import time
class Database(object):
"""Our database of image labels. Use as a context manager to ensure saving."""
def __init__(self, filename, readonly=False, save_backups=True):
"""Open and load the ima... | 0.812496 | 0.244746 |
from veripy.parser.syntax import *
from veripy.typecheck.types import *
from veripy.built_ins import FUNCTIONS
from veripy.log import log
def type_check_stmt(sigma : dict, func_sigma : dict, stmt : Stmt):
if isinstance(stmt, Skip):
return sigma
if isinstance(stmt, Seq):
return type_che... | veripy/typecheck/type_check.py | from veripy.parser.syntax import *
from veripy.typecheck.types import *
from veripy.built_ins import FUNCTIONS
from veripy.log import log
def type_check_stmt(sigma : dict, func_sigma : dict, stmt : Stmt):
if isinstance(stmt, Skip):
return sigma
if isinstance(stmt, Seq):
return type_che... | 0.427755 | 0.372619 |
from logic import *
AKnight = Symbol("A is a Knight")
AKnave = Symbol("A is a Knave")
BKnight = Symbol("B is a Knight")
BKnave = Symbol("B is a Knave")
CKnight = Symbol("C is a Knight")
CKnave = Symbol("C is a Knave")
def XOR(p, q):
return And(Or(p, q), Not(And(p, q)))
# Puzzle 0
# A says "I am both a knight a... | 1_Knowledge/Knights/puzzle.py | from logic import *
AKnight = Symbol("A is a Knight")
AKnave = Symbol("A is a Knave")
BKnight = Symbol("B is a Knight")
BKnave = Symbol("B is a Knave")
CKnight = Symbol("C is a Knight")
CKnave = Symbol("C is a Knave")
def XOR(p, q):
return And(Or(p, q), Not(And(p, q)))
# Puzzle 0
# A says "I am both a knight a... | 0.474388 | 0.409044 |
import os
import os.path as osp
from tqdm import tqdm
from pathlib import Path
from collections import defaultdict
import numpy as np
from pyquaternion import Quaternion
from scipy.spatial.transform import Rotation as R
from nuscenes.nuscenes import NuScenes
from nuscenes.utils import splits
from nuscenes.utils.geome... | scripts/convert_nuScenes_full_frames.py | import os
import os.path as osp
from tqdm import tqdm
from pathlib import Path
from collections import defaultdict
import numpy as np
from pyquaternion import Quaternion
from scipy.spatial.transform import Rotation as R
from nuscenes.nuscenes import NuScenes
from nuscenes.utils import splits
from nuscenes.utils.geome... | 0.320396 | 0.221351 |
import os
import json
import argparse
from time import time
import numpy as np
import random
import torch
from torch.utils.data import DataLoader
from Models.attention_questioner import QuestionGenerator
from datasets.dataset_quegen import WordMatchDataset, PosMatchDataset
from Utils.tensorboardlogger import Tensorboa... | Scripts/train_quegen.py | import os
import json
import argparse
from time import time
import numpy as np
import random
import torch
from torch.utils.data import DataLoader
from Models.attention_questioner import QuestionGenerator
from datasets.dataset_quegen import WordMatchDataset, PosMatchDataset
from Utils.tensorboardlogger import Tensorboa... | 0.700792 | 0.202128 |