code stringlengths 2k 1.04M | repo_path stringlengths 5 517 | parsed_code stringlengths 0 1.04M | quality_prob float64 0.02 0.95 | learning_prob float64 0.02 0.93 |
|---|---|---|---|---|
import tkinter
from tkinter import ttk
import mqtt_remote_method_calls as mqtt
import m2_laptop_code as m2
import m3_laptop_code as m3
def get_my_frame(root, window, mqtt_sender):
# Construct your frame:
frame = ttk.Frame(window, padding=10, borderwidth=5, relief="ridge")
frame_label = ttk.Label(frame, ... | src/m1_laptop_code.py |
import tkinter
from tkinter import ttk
import mqtt_remote_method_calls as mqtt
import m2_laptop_code as m2
import m3_laptop_code as m3
def get_my_frame(root, window, mqtt_sender):
# Construct your frame:
frame = ttk.Frame(window, padding=10, borderwidth=5, relief="ridge")
frame_label = ttk.Label(frame, ... | 0.509032 | 0.234889 |
import numpy as np
import visgeom as vg
from camera import PerspectiveCamera
from measurements import PrecalibratedCameraMeasurementsFixedWorld
from optim import levenberg_marquardt
from visualise_ba import visualise_moba
"""Example 1 - Motion-only Bundle Adjustment"""
class PrecalibratedMotionOnlyBAObjective:
... | ex_1_motion_only_ba.py | import numpy as np
import visgeom as vg
from camera import PerspectiveCamera
from measurements import PrecalibratedCameraMeasurementsFixedWorld
from optim import levenberg_marquardt
from visualise_ba import visualise_moba
"""Example 1 - Motion-only Bundle Adjustment"""
class PrecalibratedMotionOnlyBAObjective:
... | 0.908425 | 0.82748 |
import os
import sys
import numpy as np
import argparse
import functools
import paddle
import paddle.fluid as fluid
from utility import add_arguments, print_arguments
from se_resnext import SE_ResNeXt
import reader
parser = argparse.ArgumentParser(description=__doc__)
add_arg = functools.partial(add_arguments, argpar... | fluid/image_classification/infer.py | import os
import sys
import numpy as np
import argparse
import functools
import paddle
import paddle.fluid as fluid
from utility import add_arguments, print_arguments
from se_resnext import SE_ResNeXt
import reader
parser = argparse.ArgumentParser(description=__doc__)
add_arg = functools.partial(add_arguments, argpar... | 0.362179 | 0.161122 |
import asyncio
import itertools
import os
import random
import re
import subprocess
from collections import UserDict
from typing import Any, Iterable, List, Optional
HASH_BYTES = 32
def get_package_path():
"""
Returns ROOT_PATH s.t. $ROOT_PATH/starkware is the package folder.
"""
import starkware.pyt... | src/starkware/python/utils.py | import asyncio
import itertools
import os
import random
import re
import subprocess
from collections import UserDict
from typing import Any, Iterable, List, Optional
HASH_BYTES = 32
def get_package_path():
"""
Returns ROOT_PATH s.t. $ROOT_PATH/starkware is the package folder.
"""
import starkware.pyt... | 0.786869 | 0.366363 |
import csv
import h5py
import logging
import logging.config
import numpy as np
import os
from os import path
import pandas as pd
import pathlib
import re
import xlsxwriter
class CreateCsv:
"""Class combines csv linking IDs to csv containing feature info.
Merge linked track and object IDs to corresponding feat... | formats/polus-imaris-parser-plugin/src/merge_ids_to_features.py | import csv
import h5py
import logging
import logging.config
import numpy as np
import os
from os import path
import pandas as pd
import pathlib
import re
import xlsxwriter
class CreateCsv:
"""Class combines csv linking IDs to csv containing feature info.
Merge linked track and object IDs to corresponding feat... | 0.692122 | 0.272285 |
import os
import sys
import unittest
from click.testing import CliRunner
from dirindex._cli import cli
from dirindex.version import VERSION
class Test1(unittest.TestCase):
def test1(self):
self.assertFalse(False, "False is False")
# self.assertTrue(False, "not Implemented")
def testUsage(self... | tests/test_1.py | import os
import sys
import unittest
from click.testing import CliRunner
from dirindex._cli import cli
from dirindex.version import VERSION
class Test1(unittest.TestCase):
def test1(self):
self.assertFalse(False, "False is False")
# self.assertTrue(False, "not Implemented")
def testUsage(self... | 0.364438 | 0.529507 |
from django.db import models
from allianceauth.services.hooks import get_extension_logger
from esi.models import Token
from bravado.exception import HTTPUnauthorized, HTTPForbidden
from eveuniverse.models import EveSolarSystem
from . import __title__
from .utils import LoggerAddTag
from .helpers import esi_fetch
# C... | buybacks/managers.py | from django.db import models
from allianceauth.services.hooks import get_extension_logger
from esi.models import Token
from bravado.exception import HTTPUnauthorized, HTTPForbidden
from eveuniverse.models import EveSolarSystem
from . import __title__
from .utils import LoggerAddTag
from .helpers import esi_fetch
# C... | 0.387574 | 0.112844 |
import pandas as pd
import pytest
import numpy as np
from designs import conduction_1d
from designs.conduction_1d import Config
@pytest.fixture(params=[{
"value": conduction_1d.BOUNDARY_CONVECTIVE
}, {
"value": conduction_1d.BOUNDARY_INSULATED
}, {
"value": conduction_1d.BOUNDARY_CONSTANT
}],
... | tests/test_1d_conduction.py | import pandas as pd
import pytest
import numpy as np
from designs import conduction_1d
from designs.conduction_1d import Config
@pytest.fixture(params=[{
"value": conduction_1d.BOUNDARY_CONVECTIVE
}, {
"value": conduction_1d.BOUNDARY_INSULATED
}, {
"value": conduction_1d.BOUNDARY_CONSTANT
}],
... | 0.733452 | 0.429669 |
import torch
from torch.autograd import Variable
import torch.nn.functional as F
from torch.nn.parameter import Parameter
import numpy as np
from classifier_control.classifier.utils.subnetworks import ConvEncoder, ConvDecoder
from classifier_control.classifier.utils.layers import Linear
class VAE(torch.nn.Module):
... | classifier_control/classifier/utils/vae.py | import torch
from torch.autograd import Variable
import torch.nn.functional as F
from torch.nn.parameter import Parameter
import numpy as np
from classifier_control.classifier.utils.subnetworks import ConvEncoder, ConvDecoder
from classifier_control.classifier.utils.layers import Linear
class VAE(torch.nn.Module):
... | 0.928789 | 0.342407 |
import numpy as np
import matplotlib.pyplot as plt
from torch.optim.lr_scheduler import StepLR, ReduceLROnPlateau, OneCycleLR
def StepLR_scheduler(optimizer, step_size=6, gamma=0.1):
return StepLR(optimizer, step_size=step_size, gamma=gamma)
def LR_on_pleateau_scheduler(optimizer, patience=10, threshold=0.0001, ... | Week11/main_engine/schedulers.py | import numpy as np
import matplotlib.pyplot as plt
from torch.optim.lr_scheduler import StepLR, ReduceLROnPlateau, OneCycleLR
def StepLR_scheduler(optimizer, step_size=6, gamma=0.1):
return StepLR(optimizer, step_size=step_size, gamma=gamma)
def LR_on_pleateau_scheduler(optimizer, patience=10, threshold=0.0001, ... | 0.769254 | 0.421016 |
from collections import defaultdict
from logs.services import get_order_log_time_by_order_num
from order.constant import OrderStatus
from order.models import Order, OrderAddress, OrderDetail
from user.constant import USER_OUTPUT_CONSTANT
def get_shop_order_by_num(shop_id: int, num: str):
"""
通过店铺id和订单号获取订单及详... | wsc_django/wsc_django/apps/order/selectors.py | from collections import defaultdict
from logs.services import get_order_log_time_by_order_num
from order.constant import OrderStatus
from order.models import Order, OrderAddress, OrderDetail
from user.constant import USER_OUTPUT_CONSTANT
def get_shop_order_by_num(shop_id: int, num: str):
"""
通过店铺id和订单号获取订单及详... | 0.483405 | 0.166032 |
def facility():
"""Return a selector function for the facility a component refers to."""
# This works both for analysis components, and facilities (in which case the
# facility itself is returned).
return lambda component: component.facility
def self():
"""Return a selector function that selects t... | biopharma/optimisation/sel.py | def facility():
"""Return a selector function for the facility a component refers to."""
# This works both for analysis components, and facilities (in which case the
# facility itself is returned).
return lambda component: component.facility
def self():
"""Return a selector function that selects t... | 0.835215 | 0.855369 |
import json
import xml
from collections import defaultdict
import xmltodict
import yaml
from chibi.snippet.dict import hate_ordered_dict, remove_xml_notatation
class Atlas:
def __new__( cls, item, *args, **kw ):
return _wrap( item )
def loads( string ):
try:
return Chibi_atlas( json.loads... | chibi/atlas/__init__.py | import json
import xml
from collections import defaultdict
import xmltodict
import yaml
from chibi.snippet.dict import hate_ordered_dict, remove_xml_notatation
class Atlas:
def __new__( cls, item, *args, **kw ):
return _wrap( item )
def loads( string ):
try:
return Chibi_atlas( json.loads... | 0.430985 | 0.075007 |
from django import forms
from django.contrib.auth.forms import AuthenticationForm, UserCreationForm
from .models import Parking_place, MyUser
choice = (('Manager', 'Manager'), ('Employee', 'Employee'))
class RegisterForm(UserCreationForm):
role = forms.ChoiceField(
required=True,
choices=choice
... | frigate/users/forms.py | from django import forms
from django.contrib.auth.forms import AuthenticationForm, UserCreationForm
from .models import Parking_place, MyUser
choice = (('Manager', 'Manager'), ('Employee', 'Employee'))
class RegisterForm(UserCreationForm):
role = forms.ChoiceField(
required=True,
choices=choice
... | 0.432543 | 0.071267 |
from django.urls import path, re_path
from .views import (
StaffMemberPaymentsView, OtherStaffMemberPaymentsView, FinancesByMonthView,
FinancesByDateView, FinancesByEventView, AllExpensesViewCSV, AllRevenuesViewCSV,
FinancialDetailView, ExpenseReportingView, RevenueReportingView,
CompensationRuleUpdate... | danceschool/financial/urls.py | from django.urls import path, re_path
from .views import (
StaffMemberPaymentsView, OtherStaffMemberPaymentsView, FinancesByMonthView,
FinancesByDateView, FinancesByEventView, AllExpensesViewCSV, AllRevenuesViewCSV,
FinancialDetailView, ExpenseReportingView, RevenueReportingView,
CompensationRuleUpdate... | 0.358802 | 0.095645 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from racket_compiler.racket_parser import Parser
from solver_input_generator import Solver_Input
from third_party.demo2program.karel_env.dsl import get_KarelDSL
from third_party.demo2program.karel_env.dsl imp... | solver.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from racket_compiler.racket_parser import Parser
from solver_input_generator import Solver_Input
from third_party.demo2program.karel_env.dsl import get_KarelDSL
from third_party.demo2program.karel_env.dsl imp... | 0.560734 | 0.106784 |
from os import getenv, path
import numpy as np
import torch
import torchvision
class ImageGenerationDataset(object):
def _transform(self, x):
x = np.array(x, dtype=np.int64).ravel()
y = (x.astype(np.float32) / 255) * 2 - 1
return torch.from_numpy(x[:-1]), torch.from_numpy(y[1:])
@p... | image-generation/image_datasets.py |
from os import getenv, path
import numpy as np
import torch
import torchvision
class ImageGenerationDataset(object):
def _transform(self, x):
x = np.array(x, dtype=np.int64).ravel()
y = (x.astype(np.float32) / 255) * 2 - 1
return torch.from_numpy(x[:-1]), torch.from_numpy(y[1:])
@p... | 0.757615 | 0.323955 |
import sys
import os
import tempfile
import unittest
import sd3.cfa.graph
import sd3.cfa.shortestpath
class TestGraph(unittest.TestCase):
def test_edge(self):
node_src_id = 1
node_dest_id = 2
node_src = sd3.cfa.graph.Node(node_src_id)
node_dest = sd3.cfa.graph.Node(node_dest_id)
... | tests/cfa/test_graph.py | import sys
import os
import tempfile
import unittest
import sd3.cfa.graph
import sd3.cfa.shortestpath
class TestGraph(unittest.TestCase):
def test_edge(self):
node_src_id = 1
node_dest_id = 2
node_src = sd3.cfa.graph.Node(node_src_id)
node_dest = sd3.cfa.graph.Node(node_dest_id)
... | 0.449393 | 0.529811 |
import os
import numpy as np
import torch
import shutil
import torchvision.transforms as transforms
from torch.autograd import Variable
from collections import defaultdict
from config import config
class AvgrageMeter(object):
def __init__(self):
self.reset()
def reset(self):
self.avg = 0
self.sum = 0... | darts_search_space/imagenet/rlnas/evolution_search/utils.py | import os
import numpy as np
import torch
import shutil
import torchvision.transforms as transforms
from torch.autograd import Variable
from collections import defaultdict
from config import config
class AvgrageMeter(object):
def __init__(self):
self.reset()
def reset(self):
self.avg = 0
self.sum = 0... | 0.599485 | 0.37051 |
def objective(trial):
global layer_depth
global first_hidden_dim
global second_hidden_dim
global third_hidden_dim
global latent_dim
global beta
global kappa
global batch_size
global learning_rate
#leaky_reluの時に使用する
global leaky_alpha
#ドロップアウトを用いる場合
global dr_rate
... | CVAE/hyper_parameter_optimizer/optuna_object.py | def objective(trial):
global layer_depth
global first_hidden_dim
global second_hidden_dim
global third_hidden_dim
global latent_dim
global beta
global kappa
global batch_size
global learning_rate
#leaky_reluの時に使用する
global leaky_alpha
#ドロップアウトを用いる場合
global dr_rate
... | 0.423696 | 0.437944 |
import numpy as np
from glob import glob
import matplotlib.pyplot as plt
import numpy as np
import os
import pandas as pd
from sklearn.neighbors import NearestNeighbors
from winnow.feature_extraction import SimilarityModel
import cv2
import yaml
def create_directory(directories,root_dir,alias):
for r in director... | winnow/utils/utils.py | import numpy as np
from glob import glob
import matplotlib.pyplot as plt
import numpy as np
import os
import pandas as pd
from sklearn.neighbors import NearestNeighbors
from winnow.feature_extraction import SimilarityModel
import cv2
import yaml
def create_directory(directories,root_dir,alias):
for r in director... | 0.41941 | 0.344829 |
import os
import logging
from keyring.keyring.util import properties
from keyring.keyring.backend import KeyringBackend
from keyring.keyring.errors import (InitError, PasswordDeleteError,
ExceptionRaisedContext)
try:
import secretstorage.exceptions
except ImportError:
pass
log = logging.getLogger(__name_... | keyring/keyring/backends/SecretService.py | import os
import logging
from keyring.keyring.util import properties
from keyring.keyring.backend import KeyringBackend
from keyring.keyring.errors import (InitError, PasswordDeleteError,
ExceptionRaisedContext)
try:
import secretstorage.exceptions
except ImportError:
pass
log = logging.getLogger(__name_... | 0.464416 | 0.094678 |
import numpy as np
import math
def calculateSurface(mesh, vertGroups=None, faceMask=None):
"""
Calculate surface area of a mesh. Specify vertGroups or faceMask to
calculate area of a subset of the mesh and filter out other faces.
"""
if vertGroups is not None:
f_idx = mesh.getFacesForGroups... | makehuman-master/makehuman/shared/mesh_operations.py | import numpy as np
import math
def calculateSurface(mesh, vertGroups=None, faceMask=None):
"""
Calculate surface area of a mesh. Specify vertGroups or faceMask to
calculate area of a subset of the mesh and filter out other faces.
"""
if vertGroups is not None:
f_idx = mesh.getFacesForGroups... | 0.793026 | 0.753263 |
import htmlvis
import pytest
from mock import Mock, mock_open
@pytest.fixture(autouse=True)
def patch_seqdiag_draw(mocker):
mocker.patch('htmlvis.seqdiag.draw')
@pytest.fixture(autouse=True)
def patch_open(mocker):
try:
mocker.patch('builtins.open', mock_open())
except ImportError:
mocke... | tests/test_htmlvis.py | import htmlvis
import pytest
from mock import Mock, mock_open
@pytest.fixture(autouse=True)
def patch_seqdiag_draw(mocker):
mocker.patch('htmlvis.seqdiag.draw')
@pytest.fixture(autouse=True)
def patch_open(mocker):
try:
mocker.patch('builtins.open', mock_open())
except ImportError:
mocke... | 0.453988 | 0.215433 |
from aws_adfs import account_aliases_fetcher
def _aws_account(account_alias, account_no):
return u'<div class="saml-account-name">Account: {} ({})</div>'.format(account_alias, account_no)
def _account_page_response(accounts):
response = type('', (), {})()
response.request = type('', (), {})()
respon... | test/test_account_aliases_fetcher.py | from aws_adfs import account_aliases_fetcher
def _aws_account(account_alias, account_no):
return u'<div class="saml-account-name">Account: {} ({})</div>'.format(account_alias, account_no)
def _account_page_response(accounts):
response = type('', (), {})()
response.request = type('', (), {})()
respon... | 0.661595 | 0.110112 |
from . import sys, librosa, np
def voice_frequency(
audio_path: str,
sr: int = 1000,
sr_scalar: int = 22,
deno: int = 30,
freqdiff: int = 13,
freqmin: int = 65,
) -> float:
y, _ = librosa.load(audio_path, sr=sr)
y_fourier = librosa.stft(y, n_fft=1024)
data = librosa.amplitude_to_db... | backend/utils/voice_frequency2.py | from . import sys, librosa, np
def voice_frequency(
audio_path: str,
sr: int = 1000,
sr_scalar: int = 22,
deno: int = 30,
freqdiff: int = 13,
freqmin: int = 65,
) -> float:
y, _ = librosa.load(audio_path, sr=sr)
y_fourier = librosa.stft(y, n_fft=1024)
data = librosa.amplitude_to_db... | 0.242026 | 0.383237 |
import base64
import zlib
from google.protobuf import descriptor_pb2
# Includes description of the api/api_proto/features.proto and all of its transitive
# dependencies. Includes source code info.
FILE_DESCRIPTOR_SET = descriptor_pb2.FileDescriptorSet()
FILE_DESCRIPTOR_SET.ParseFromString(zlib.decompress(base64.b64d... | appengine/monorail/api/api_proto/features_prpc_pb2.py |
import base64
import zlib
from google.protobuf import descriptor_pb2
# Includes description of the api/api_proto/features.proto and all of its transitive
# dependencies. Includes source code info.
FILE_DESCRIPTOR_SET = descriptor_pb2.FileDescriptorSet()
FILE_DESCRIPTOR_SET.ParseFromString(zlib.decompress(base64.b64d... | 0.198996 | 0.071009 |
from pycograph.config import settings
from pycograph.schemas.parse_result import PackageWithContext
def test_package_production_code():
package = PackageWithContext(
name="example",
full_name="example",
dir_path="",
)
assert package.is_test_object is False
assert package.label... | tests/unit/schemas/parse_result/test_package.py | from pycograph.config import settings
from pycograph.schemas.parse_result import PackageWithContext
def test_package_production_code():
package = PackageWithContext(
name="example",
full_name="example",
dir_path="",
)
assert package.is_test_object is False
assert package.label... | 0.667581 | 0.535038 |
from bokeh.plotting import figure
from bokeh.layouts import column
from bokeh.io import export_png, show
from bokeh.palettes import Category20
from sklearn.decomposition import PCA
import holoviews as hv
from holoviews.operation import gridmatrix
import numpy as np
import pandas as pd
import os
if not os.path.exists("... | PCA/src/DimReduction.py | from bokeh.plotting import figure
from bokeh.layouts import column
from bokeh.io import export_png, show
from bokeh.palettes import Category20
from sklearn.decomposition import PCA
import holoviews as hv
from holoviews.operation import gridmatrix
import numpy as np
import pandas as pd
import os
if not os.path.exists("... | 0.595257 | 0.683471 |
from collections import defaultdict
import math
import sys
book = sys.argv[1]
def get_chapter(sid):
def single(s):
return int(s.split('-')[-1])
p = sid.split(':')
if len(p) == 2:
return [single(p[0])]
else:
return [single(p[0]), single(p[1])]
total_sents = 0
total_words = 0
re... | report.py |
from collections import defaultdict
import math
import sys
book = sys.argv[1]
def get_chapter(sid):
def single(s):
return int(s.split('-')[-1])
p = sid.split(':')
if len(p) == 2:
return [single(p[0])]
else:
return [single(p[0]), single(p[1])]
total_sents = 0
total_words = 0
re... | 0.181372 | 0.284647 |
"""The Virtual File System (VFS) file-like object interface."""
import abc
import os
# Since this class implements the file-like object interface
# the names of the interface functions are in lower case as an exception
# to the normal naming convention.
class FileIO(object):
"""Class that implements the VFS file... | dfvfs/file_io/file_io.py | """The Virtual File System (VFS) file-like object interface."""
import abc
import os
# Since this class implements the file-like object interface
# the names of the interface functions are in lower case as an exception
# to the normal naming convention.
class FileIO(object):
"""Class that implements the VFS file... | 0.931774 | 0.34017 |
import sys
import time
import os
import math
import json
import geopy
import pandas as pd
import numpy as np
import shapefile as shp
import math
import multiprocessing as mp
from pyproj import Proj, transform
from geopy.distance import VincentyDistance
from shapely.geometry import box, mapping, shape
lon_km = 0.00449... | create_grid.py | import sys
import time
import os
import math
import json
import geopy
import pandas as pd
import numpy as np
import shapefile as shp
import math
import multiprocessing as mp
from pyproj import Proj, transform
from geopy.distance import VincentyDistance
from shapely.geometry import box, mapping, shape
lon_km = 0.00449... | 0.135804 | 0.212824 |
import copy
import mock
try:
import unittest2 as unittest
except ImportError:
import unittest
from testrail.helper import TestRailError
from testrail.section import Section
from testrail.suite import Suite
class TestSuite(unittest.TestCase):
def setUp(self):
self.mock_suite_data = [
{... | tests/test_section.py | import copy
import mock
try:
import unittest2 as unittest
except ImportError:
import unittest
from testrail.helper import TestRailError
from testrail.section import Section
from testrail.suite import Suite
class TestSuite(unittest.TestCase):
def setUp(self):
self.mock_suite_data = [
{... | 0.512937 | 0.371222 |
import os
import sys
import numpy as np
from time import time
import argparse
from py_data_getter import data_getter
from py_db import db
db = db('nba_shots')
def initiate(start_year, end_year):
start_time = time()
print "-------------------------"
print "percentiles.py"
print '\n\ncalculating perc... | processing/percentiles.py | import os
import sys
import numpy as np
from time import time
import argparse
from py_data_getter import data_getter
from py_db import db
db = db('nba_shots')
def initiate(start_year, end_year):
start_time = time()
print "-------------------------"
print "percentiles.py"
print '\n\ncalculating perc... | 0.087692 | 0.139075 |
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from scipy import stats
from keras.datasets import imdb
from keras.preprocessing.sequence import pad_sequences
from keras.models import Sequential
from keras.layers.embeddings import Embedding
from keras.layers import SimpleRNN, Dense, A... | preprocessing.py | import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from scipy import stats
from keras.datasets import imdb
from keras.preprocessing.sequence import pad_sequences
from keras.models import Sequential
from keras.layers.embeddings import Embedding
from keras.layers import SimpleRNN, Dense, A... | 0.387227 | 0.307657 |
import os
import time
from abc import abstractmethod
from . import helpers
from .config import client
class ClientTrader:
def __init__(self):
self._config = client.create(self.broker_type)
def prepare(self, config_path=None, user=None, password=None, exe_path=None, comm_password=None,
... | Stock/Trade/Broker/YhNew/clienttrader.py |
import os
import time
from abc import abstractmethod
from . import helpers
from .config import client
class ClientTrader:
def __init__(self):
self._config = client.create(self.broker_type)
def prepare(self, config_path=None, user=None, password=None, exe_path=None, comm_password=None,
... | 0.44746 | 0.089614 |
import functools
import os
import pathlib
import sys
import pytest
import typer
from _pytest.logging import LogCaptureFixture
from loguru import logger
@pytest.fixture(scope="session")
def tmp_cwd(tmp_path_factory):
cwd = pathlib.Path.cwd()
tmp_wd = tmp_path_factory.mktemp("bucky_integration")
os.chdir(t... | tests/conftest.py | import functools
import os
import pathlib
import sys
import pytest
import typer
from _pytest.logging import LogCaptureFixture
from loguru import logger
@pytest.fixture(scope="session")
def tmp_cwd(tmp_path_factory):
cwd = pathlib.Path.cwd()
tmp_wd = tmp_path_factory.mktemp("bucky_integration")
os.chdir(t... | 0.379608 | 0.181807 |
# -*- coding: utf-8 -*-
__author__ = "<NAME>"
__date__ = "08 Mar 2016"
import os, sys; sys.path.append(os.path.join('..', '..', '..')) # analysis:ignore
import numpy as np
import xrt.plotter as xrtp
import xrt.runner as xrtr
import xrt.backends.raycing.materials as rm
import BalderBL
showIn3D = False
BalderBL.show... | examples/withRaycing/02_Balder_BL/traceDCMBalderBL.py | # -*- coding: utf-8 -*-
__author__ = "<NAME>"
__date__ = "08 Mar 2016"
import os, sys; sys.path.append(os.path.join('..', '..', '..')) # analysis:ignore
import numpy as np
import xrt.plotter as xrtp
import xrt.runner as xrtr
import xrt.backends.raycing.materials as rm
import BalderBL
showIn3D = False
BalderBL.show... | 0.38445 | 0.267378 |
import sys
import argparse
from argparse import ArgumentParser
import logging
import easywrk
from easywrk.commands import help_command, request_command, run_command, view_config_command
from easywrk.commands import list_command, init_command
from easywrk.commands import register_cmd_help
def setup_config_argparse(p... | easywrk/cli.py |
import sys
import argparse
from argparse import ArgumentParser
import logging
import easywrk
from easywrk.commands import help_command, request_command, run_command, view_config_command
from easywrk.commands import list_command, init_command
from easywrk.commands import register_cmd_help
def setup_config_argparse(p... | 0.299822 | 0.07333 |
import itertools
from collections import UserDict
from operator import itemgetter
from typing import Dict, Iterator, Set, Tuple, TypeVar, Union, cast
from pyproj import Proj, Transformer
from shapely.geometry import LineString, MultiLineString, MultiPolygon, Polygon
from shapely.geometry.base import BaseGeometry
from ... | cartes/osm/overpass/relations/boundary.py | import itertools
from collections import UserDict
from operator import itemgetter
from typing import Dict, Iterator, Set, Tuple, TypeVar, Union, cast
from pyproj import Proj, Transformer
from shapely.geometry import LineString, MultiLineString, MultiPolygon, Polygon
from shapely.geometry.base import BaseGeometry
from ... | 0.814164 | 0.308047 |
if __name__ == "__main__":
from sys import path
path.append('webapi')
# Load .flaskenv
from os.path import isfile
if isfile('.flaskenv'):
from libs.basics.system import load_export_file
load_export_file('.flaskenv')
# Pre-load config
from libs.config import Config
confi... | src/webapi.py | if __name__ == "__main__":
from sys import path
path.append('webapi')
# Load .flaskenv
from os.path import isfile
if isfile('.flaskenv'):
from libs.basics.system import load_export_file
load_export_file('.flaskenv')
# Pre-load config
from libs.config import Config
confi... | 0.224225 | 0.04736 |
# COMMAND ----------
# DBTITLE 1,Create Database
# MAGIC %sql
# MAGIC CREATE DATABASE IF NOT EXISTS dvd_objects
# COMMAND ----------
import pyspark
from pyspark.sql.functions import to_date, col
#LOAD CSV FILE - INCLUDES 5M ROWS
actor = (spark.read.format('csv')
.option('header', 'True')
.op... | src/Utils/Create DVD Database.py |
# COMMAND ----------
# DBTITLE 1,Create Database
# MAGIC %sql
# MAGIC CREATE DATABASE IF NOT EXISTS dvd_objects
# COMMAND ----------
import pyspark
from pyspark.sql.functions import to_date, col
#LOAD CSV FILE - INCLUDES 5M ROWS
actor = (spark.read.format('csv')
.option('header', 'True')
.op... | 0.35031 | 0.082254 |
from string import ascii_letters
import numpy as np
from dataclasses import dataclass, field
from crossover import single_point
from mutate import exchange2
from selection import roulette_wheel
CHAR_VOCAB = np.array(list(ascii_letters))
TARGET = "Hello World"
TARGET_LIST = list(TARGET)
TARGET_INDICES = np.array([TAR... | src/pythogen/main.py | from string import ascii_letters
import numpy as np
from dataclasses import dataclass, field
from crossover import single_point
from mutate import exchange2
from selection import roulette_wheel
CHAR_VOCAB = np.array(list(ascii_letters))
TARGET = "Hello World"
TARGET_LIST = list(TARGET)
TARGET_INDICES = np.array([TAR... | 0.738009 | 0.4133 |
from __future__ import division
from typing import Dict, List, Set, Any
import os
import shutil
import subprocess
from collections import defaultdict
import flye.utils.fasta_parser as fp
from bioclass.sam import GeneralSamFile
class RgNode(object):
__slots__ = ("in_edges", "out_edges")
def __init__(self):... | flye/repeat_graph/repeat_graph.py | from __future__ import division
from typing import Dict, List, Set, Any
import os
import shutil
import subprocess
from collections import defaultdict
import flye.utils.fasta_parser as fp
from bioclass.sam import GeneralSamFile
class RgNode(object):
__slots__ = ("in_edges", "out_edges")
def __init__(self):... | 0.586523 | 0.240173 |
# Modules
import os
import argparse
from collections import defaultdict
from Bio import SeqIO
import numpy as np
from hivwholeseq.datasets import MiSeq_runs
from hivwholeseq.sequencing.filenames import get_consensus_filename, get_merged_consensus_filename, \
get_consensi_alignment_dataset_filename
from hivwhol... | hivwholeseq/sequencing/align_consensi_dataset.py | # Modules
import os
import argparse
from collections import defaultdict
from Bio import SeqIO
import numpy as np
from hivwholeseq.datasets import MiSeq_runs
from hivwholeseq.sequencing.filenames import get_consensus_filename, get_merged_consensus_filename, \
get_consensi_alignment_dataset_filename
from hivwhol... | 0.294519 | 0.206954 |
from pysignfe.xml_sped import *
from pysignfe.nfe.manual_500 import ESQUEMA_ATUAL
from .evento_base import DetEvento, InfEventoEnviado, Evento, EnvEvento, InfEventoRecebido, RetEvento, RetEnvEvento, ProcEventoNFe
import os
DIRNAME = os.path.dirname(__file__)
CONDICAO_USO = u'A Carta de Correcao e disciplinada pelo ... | gestaoemp/lib/python3.6/site-packages/pysignfe/nfe/manual_500/carta_correcao.py |
from pysignfe.xml_sped import *
from pysignfe.nfe.manual_500 import ESQUEMA_ATUAL
from .evento_base import DetEvento, InfEventoEnviado, Evento, EnvEvento, InfEventoRecebido, RetEvento, RetEnvEvento, ProcEventoNFe
import os
DIRNAME = os.path.dirname(__file__)
CONDICAO_USO = u'A Carta de Correcao e disciplinada pelo ... | 0.334481 | 0.115811 |
import pandas as pd
from pgmpy.estimators import BayesianEstimator
from pgmpy.models import BayesianModel
from pomegranate.BayesianNetwork import BayesianNetwork
from pomegranate.base import State
from pomegranate.distributions.ConditionalProbabilityTable import ConditionalProbabilityTable
from pomegranate.distribution... | peepo/playground/baby_in_crib/model.py | import pandas as pd
from pgmpy.estimators import BayesianEstimator
from pgmpy.models import BayesianModel
from pomegranate.BayesianNetwork import BayesianNetwork
from pomegranate.base import State
from pomegranate.distributions.ConditionalProbabilityTable import ConditionalProbabilityTable
from pomegranate.distribution... | 0.712332 | 0.436382 |
import argparse
import json
import logging
import os
import shlex
import shutil
import sys
# Hardcoded configuration values
JAVA_LAST_KIOSK_LOG = "/tmp/java-last-kiosk.log"
# Parse CLI arguments
parser = argparse.ArgumentParser(description='JavaFX Last Kiosk Launcher', allow_abbrev=False)
parser.add_argument('-d', '-... | base/resources/java/java-last-kiosk.py | import argparse
import json
import logging
import os
import shlex
import shutil
import sys
# Hardcoded configuration values
JAVA_LAST_KIOSK_LOG = "/tmp/java-last-kiosk.log"
# Parse CLI arguments
parser = argparse.ArgumentParser(description='JavaFX Last Kiosk Launcher', allow_abbrev=False)
parser.add_argument('-d', '-... | 0.354657 | 0.045205 |
from torch.autograd import Variable
import torch
from .module import Module
from .container import Sequential
from .activation import LogSoftmax
from .. import functional as F
def _assert_no_grad(variable):
assert not variable.requires_grad, \
"nn criterions don't compute the gradient w.r.t. targets - ple... | torch/nn/modules/loss.py | from torch.autograd import Variable
import torch
from .module import Module
from .container import Sequential
from .activation import LogSoftmax
from .. import functional as F
def _assert_no_grad(variable):
assert not variable.requires_grad, \
"nn criterions don't compute the gradient w.r.t. targets - ple... | 0.968812 | 0.734381 |
from itertools import combinations
from string import ascii_letters
import editdistance
from gensim.models import KeyedVectors
from tqdm import tqdm
class CodeMaster:
''' A robo code master in the Codenames game '''
def __init__(self, red_words, blue_words, bad_words, model=None, word_pairs=None):
s... | src/code_master.py | from itertools import combinations
from string import ascii_letters
import editdistance
from gensim.models import KeyedVectors
from tqdm import tqdm
class CodeMaster:
''' A robo code master in the Codenames game '''
def __init__(self, red_words, blue_words, bad_words, model=None, word_pairs=None):
s... | 0.576542 | 0.203609 |
import sys
from PyQt5.QtCore import Qt
from PyQt5.QtWidgets import (QWidget, QApplication, QFrame,
QVBoxLayout, QSplitter, QDesktopWidget)
from .params import Params
from .introduction import Introduction
from .type_of_task import TypeOfTask
from .set_file import SetFile
from .dat... | malss/app/app.py |
import sys
from PyQt5.QtCore import Qt
from PyQt5.QtWidgets import (QWidget, QApplication, QFrame,
QVBoxLayout, QSplitter, QDesktopWidget)
from .params import Params
from .introduction import Introduction
from .type_of_task import TypeOfTask
from .set_file import SetFile
from .dat... | 0.38943 | 0.241434 |
import os
import sys
"""
Test 72 transform, if transformed data by old transformer is the same in tf2
and tf1
Conclusion: It is the same
"""
PROJECT_PATH = os.path.abspath(
os.path.join(os.path.dirname(__file__), '..'))
sys.path.append(PROJECT_PATH)
import matplotlib;
matplotlib.use('agg')
import pandas as pd
... | tests/test_72_transformation_transformed_data_tf1.py | import os
import sys
"""
Test 72 transform, if transformed data by old transformer is the same in tf2
and tf1
Conclusion: It is the same
"""
PROJECT_PATH = os.path.abspath(
os.path.join(os.path.dirname(__file__), '..'))
sys.path.append(PROJECT_PATH)
import matplotlib;
matplotlib.use('agg')
import pandas as pd
... | 0.417865 | 0.402862 |
from __future__ import annotations
from typing import Any, Generic, List, Optional, TypeVar
import jax
import jax.numpy as jnp
from jax.nn import softplus
from jax.scipy import special as jss
from tjax import Generator, RealArray, Shape
from tjax.dataclasses import dataclass
from ..exp_to_nat import ExpToNat
from ..... | efax/_src/distributions/dirichlet_common.py | from __future__ import annotations
from typing import Any, Generic, List, Optional, TypeVar
import jax
import jax.numpy as jnp
from jax.nn import softplus
from jax.scipy import special as jss
from tjax import Generator, RealArray, Shape
from tjax.dataclasses import dataclass
from ..exp_to_nat import ExpToNat
from ..... | 0.905669 | 0.371479 |
import PySimpleGUI as sg
import asyncio
import os
import sys
import time
from collections import deque
import driver
delay_start = None
gra_ids = deque()
async def connect(tc: driver.Thermocycler):
await tc.connect(port='/dev/ttyACM0')
async def open_lid(tc: driver.Thermocycler):
await tc.open()
async def ... | pcr_gui.py |
import PySimpleGUI as sg
import asyncio
import os
import sys
import time
from collections import deque
import driver
delay_start = None
gra_ids = deque()
async def connect(tc: driver.Thermocycler):
await tc.connect(port='/dev/ttyACM0')
async def open_lid(tc: driver.Thermocycler):
await tc.open()
async def ... | 0.165492 | 0.136608 |
import functools
import re
from typing import (
List,
Union
)
from net_models.models.BaseModels.SharedModels import VRFAddressFamily, VRFModel
from net_parser.config import BaseConfigLine
class IosConfigLine(BaseConfigLine):
def __init__(self, number: int, text: str, config, verbosity: int, name: str... | net_parser/config/IosSectionParsers.py | import functools
import re
from typing import (
List,
Union
)
from net_models.models.BaseModels.SharedModels import VRFAddressFamily, VRFModel
from net_parser.config import BaseConfigLine
class IosConfigLine(BaseConfigLine):
def __init__(self, number: int, text: str, config, verbosity: int, name: str... | 0.616243 | 0.069827 |
import torch
from tqdm.auto import tqdm
import numpy as np
from .random import sample_best_distributed, sample_best_distributed_pointwise
from ..losses import Chamfer
class ShapeSampler:
def __init__(self, method = "random", N = 5):
if (method not in ["random", "kmeans++", "template", "fir... | dlm/utils/shape_sampler.py | import torch
from tqdm.auto import tqdm
import numpy as np
from .random import sample_best_distributed, sample_best_distributed_pointwise
from ..losses import Chamfer
class ShapeSampler:
def __init__(self, method = "random", N = 5):
if (method not in ["random", "kmeans++", "template", "fir... | 0.531453 | 0.456834 |
from thrift.Thrift import TType, TMessageType, TException, TApplicationException
from thrift.transport import TTransport
from thrift.protocol import TBinaryProtocol, TProtocol
try:
from thrift.protocol import fastbinary
except:
fastbinary = None
class AuthenticationLoginRequest:
"""
Attributes:
- user_n... | jet-python/build/lib.linux-x86_64-2.7/jnpr/jet/authentication/ttypes.py |
from thrift.Thrift import TType, TMessageType, TException, TApplicationException
from thrift.transport import TTransport
from thrift.protocol import TBinaryProtocol, TProtocol
try:
from thrift.protocol import fastbinary
except:
fastbinary = None
class AuthenticationLoginRequest:
"""
Attributes:
- user_n... | 0.406273 | 0.08772 |
from collections import OrderedDict
import six
from pyangbind.lib.base import PybindBase
from pyangbind.lib.yangtypes import YANGDynClass
# PY3 support of some PY2 keywords (needs improved)
if six.PY3:
import builtins as __builtin__
long = int
elif six.PY2:
import __builtin__
class supported_bandwidth(... | grpc/rbindings/node/port/available_transceiver/supported_bandwidth/__init__.py | from collections import OrderedDict
import six
from pyangbind.lib.base import PybindBase
from pyangbind.lib.yangtypes import YANGDynClass
# PY3 support of some PY2 keywords (needs improved)
if six.PY3:
import builtins as __builtin__
long = int
elif six.PY2:
import __builtin__
class supported_bandwidth(... | 0.721056 | 0.089733 |
import numpy as np
import cv2
import os
import pandas as pd
import torch
from torchvision import transforms
class CardImageDataset():
def __init__(self, root_dir='../data', header_file='gicsd_labels.csv', image_dir='images'):
'''
root_dir: location of the dataset dir
header_file: location... | code/Dataset.py | import numpy as np
import cv2
import os
import pandas as pd
import torch
from torchvision import transforms
class CardImageDataset():
def __init__(self, root_dir='../data', header_file='gicsd_labels.csv', image_dir='images'):
'''
root_dir: location of the dataset dir
header_file: location... | 0.63477 | 0.397529 |
import demistomock as demisto # noqa
import ExpanseEnrichAttribution
CURRENT_IP = [
{"ip": "1.1.1.1", "attr1": "value1"},
{"ip": "8.8.8.8", "attr1": "value2"},
]
ENRICH_IP = [
{"ipaddress": "1.1.1.1", "provider": "Cloudflare", "ignored": "ignored-right"},
{"ipaddress": "8.8.8.4", "provider": "Googl... | Packs/ExpanseV2/Scripts/ExpanseEnrichAttribution/ExpanseEnrichAttribution_test.py | import demistomock as demisto # noqa
import ExpanseEnrichAttribution
CURRENT_IP = [
{"ip": "1.1.1.1", "attr1": "value1"},
{"ip": "8.8.8.8", "attr1": "value2"},
]
ENRICH_IP = [
{"ipaddress": "1.1.1.1", "provider": "Cloudflare", "ignored": "ignored-right"},
{"ipaddress": "8.8.8.4", "provider": "Googl... | 0.46393 | 0.434701 |
import click, pkg_resources, os
def fileType(ctx, param, value):
if not value or ctx.resilient_parsing:
return value
if not isinstance(ctx.obj, dict):
ctx.obj = dict()
if str(param)[-2] == 'l':
ctx.obj['filetype'] = str(param)[-4:-1]
else:
ctx.obj['filetype'] = str(pa... | prog/commands.py | import click, pkg_resources, os
def fileType(ctx, param, value):
if not value or ctx.resilient_parsing:
return value
if not isinstance(ctx.obj, dict):
ctx.obj = dict()
if str(param)[-2] == 'l':
ctx.obj['filetype'] = str(param)[-4:-1]
else:
ctx.obj['filetype'] = str(pa... | 0.231354 | 0.085862 |
import calendar
import os
import signal
import subprocess
import sys
import time
import deimos.cleanup
import deimos.config
import deimos.containerizer
import deimos.containerizer.docker
from deimos.err import Err
import deimos.flock
from deimos.logger import log
import deimos.sig
import deimos.usage
def cli(argv=No... | deimos/__init__.py | import calendar
import os
import signal
import subprocess
import sys
import time
import deimos.cleanup
import deimos.config
import deimos.containerizer
import deimos.containerizer.docker
from deimos.err import Err
import deimos.flock
from deimos.logger import log
import deimos.sig
import deimos.usage
def cli(argv=No... | 0.28577 | 0.117243 |
import os
import time
from modules.findlorf_main import findlorf_main
from modules.transfix_main import transfix_main
from modules.transfeat_main import transfeat_main
from lib.parsing.gtf_parsing_tools import filter_gtf_file, add_features_to_gtf
def file_exist(outfile, skip_message=True):
if os.path.exists(outf... | modules/auto_main.py | import os
import time
from modules.findlorf_main import findlorf_main
from modules.transfix_main import transfix_main
from modules.transfeat_main import transfeat_main
from lib.parsing.gtf_parsing_tools import filter_gtf_file, add_features_to_gtf
def file_exist(outfile, skip_message=True):
if os.path.exists(outf... | 0.274254 | 0.090213 |
from collections import OrderedDict
import logging
from pyidf.helper import DataObject
logger = logging.getLogger("pyidf")
logger.addHandler(logging.NullHandler())
class EnergyManagementSystemSensor(DataObject):
""" Corresponds to IDD object `EnergyManagementSystem:Sensor`
Declares EMS variable as a se... | pyidf/energy_management_system.py | from collections import OrderedDict
import logging
from pyidf.helper import DataObject
logger = logging.getLogger("pyidf")
logger.addHandler(logging.NullHandler())
class EnergyManagementSystemSensor(DataObject):
""" Corresponds to IDD object `EnergyManagementSystem:Sensor`
Declares EMS variable as a se... | 0.840423 | 0.250042 |
import sys
import weakref
import operator
from random import randint
from array import array
from .base import (
lib,
ffi,
NULL,
NoValue,
_check,
_build_range,
_get_select_op,
_get_bin_op,
)
from . import types, binaryop, monoid, unaryop
from .vector import Vector
from .scalar import S... | pygraphblas/matrix.py | import sys
import weakref
import operator
from random import randint
from array import array
from .base import (
lib,
ffi,
NULL,
NoValue,
_check,
_build_range,
_get_select_op,
_get_bin_op,
)
from . import types, binaryop, monoid, unaryop
from .vector import Vector
from .scalar import S... | 0.599368 | 0.328408 |
from __future__ import absolute_import
import HLL
class Counter(object):
def __init__(self, op):
self.__op = op
self._value = None
@property
def op(self):
return self.__op
@property
def value(self):
return self._value
def append(self, raw):
raise NotI... | vcc/counters.py | from __future__ import absolute_import
import HLL
class Counter(object):
def __init__(self, op):
self.__op = op
self._value = None
@property
def op(self):
return self.__op
@property
def value(self):
return self._value
def append(self, raw):
raise NotI... | 0.679604 | 0.160135 |
import numpy
from discrete_fuzzy_operators.base.operators.binary_operators.suboperators.fuzzy_aggregation_operator import \
DiscreteFuzzyAggregationBinaryOperator
from typing import Callable, Dict
class Uninorm(DiscreteFuzzyAggregationBinaryOperator):
def __init__(self, n: int, e: int,
oper... | discrete_fuzzy_operators/base/operators/binary_operators/suboperators/fuzzy_aggregation_suboperators/uninorm.py | import numpy
from discrete_fuzzy_operators.base.operators.binary_operators.suboperators.fuzzy_aggregation_operator import \
DiscreteFuzzyAggregationBinaryOperator
from typing import Callable, Dict
class Uninorm(DiscreteFuzzyAggregationBinaryOperator):
def __init__(self, n: int, e: int,
oper... | 0.899539 | 0.728555 |
from dataclasses import dataclass, is_dataclass, asdict
from typing import Callable, List, Union
# noinspection PyUnreachableCode
if False:
# noinspection PyUnresolvedReferences
from _stubs import *
from ..EditorExt import Editor
ext.editor = Editor(None)
iop.hostedComp = COMP()
@dataclass
class ToolContext:
to... | rack/editor/components/EditorToolsExt.py | from dataclasses import dataclass, is_dataclass, asdict
from typing import Callable, List, Union
# noinspection PyUnreachableCode
if False:
# noinspection PyUnresolvedReferences
from _stubs import *
from ..EditorExt import Editor
ext.editor = Editor(None)
iop.hostedComp = COMP()
@dataclass
class ToolContext:
to... | 0.668447 | 0.085175 |
from heat.common.i18n import _
from heat.engine import attributes
from heat.engine import constraints
from heat.engine import properties
from heat.engine.resources.openstack.neutron import neutron
from oslo_log import log as logging
import neutronclient.common.exceptions as neutron_exp
LOG = logging.getLogger(__nam... | heat/engine/resources/wr/neutron_provider_net_range.py |
from heat.common.i18n import _
from heat.engine import attributes
from heat.engine import constraints
from heat.engine import properties
from heat.engine.resources.openstack.neutron import neutron
from oslo_log import log as logging
import neutronclient.common.exceptions as neutron_exp
LOG = logging.getLogger(__nam... | 0.713132 | 0.192881 |
from flask_restful import Resource, marshal, fields, reqparse
from app import auth
from app.models import PatientMeal
# Viewed from patient details
meal_by_patient_fields = {
'id': fields.Integer,
'label': fields.String,
'quantity': fields.Integer,
'uri': fields.Url('meal_list_by_patient'),
'meal':... | app/resources/patient_meal.py | from flask_restful import Resource, marshal, fields, reqparse
from app import auth
from app.models import PatientMeal
# Viewed from patient details
meal_by_patient_fields = {
'id': fields.Integer,
'label': fields.String,
'quantity': fields.Integer,
'uri': fields.Url('meal_list_by_patient'),
'meal':... | 0.589953 | 0.113629 |
import dectate
import morepath
from morepath.error import ConflictError
import pytest
from webtest import TestApp as Client
def test_settings_property():
class App(morepath.App):
pass
@App.setting("foo", "bar")
def get_foo_setting():
return "bar"
dectate.commit(App)
app = App()
... | morepath/tests/test_setting_directive.py | import dectate
import morepath
from morepath.error import ConflictError
import pytest
from webtest import TestApp as Client
def test_settings_property():
class App(morepath.App):
pass
@App.setting("foo", "bar")
def get_foo_setting():
return "bar"
dectate.commit(App)
app = App()
... | 0.683208 | 0.311505 |
from __future__ import absolute_import, division, print_function
import os
import re
from collections import OrderedDict
from ..defs import (task_name_sep, task_state_to_int, task_int_to_state)
from ...util import option_list
from ...io import findfile
from .base import (BaseTask, task_classes)
from desiutil.lo... | py/desispec/pipeline/tasks/preproc.py |
from __future__ import absolute_import, division, print_function
import os
import re
from collections import OrderedDict
from ..defs import (task_name_sep, task_state_to_int, task_int_to_state)
from ...util import option_list
from ...io import findfile
from .base import (BaseTask, task_classes)
from desiutil.lo... | 0.495606 | 0.139162 |
import numpy as np
#This class contains all the default parameters for DynaPhoPy
class Parameters:
def __init__(self,
#General
silent=False,
#Projections
reduced_q_vector=(0, 0, 0), # default reduced wave vector
#Maximum Entr... | dynaphopy/classes/parameters.py | import numpy as np
#This class contains all the default parameters for DynaPhoPy
class Parameters:
def __init__(self,
#General
silent=False,
#Projections
reduced_q_vector=(0, 0, 0), # default reduced wave vector
#Maximum Entr... | 0.886224 | 0.518302 |
#########################################################################
## Customize your APP title, subtitle and menus here
#########################################################################
#response.title = ' '.join(word.capitalize() for word in request.application.split('_'))
#response.subtitle = T... | models/menu.py |
#########################################################################
## Customize your APP title, subtitle and menus here
#########################################################################
#response.title = ' '.join(word.capitalize() for word in request.application.split('_'))
#response.subtitle = T... | 0.172381 | 0.127816 |
from __future__ import annotations
import tempfile
from pathlib import Path
from typing import List, Set, Dict, Generator, Tuple
import pandas as pd
from Bio import SeqIO
from Bio.SeqRecord import SeqRecord
from pybedtools import BedTool
from genomics_data_index.storage.model import NUCLEOTIDE_UNKNOWN, NUCLEOTIDE_UN... | genomics_data_index/storage/MaskedGenomicRegions.py | from __future__ import annotations
import tempfile
from pathlib import Path
from typing import List, Set, Dict, Generator, Tuple
import pandas as pd
from Bio import SeqIO
from Bio.SeqRecord import SeqRecord
from pybedtools import BedTool
from genomics_data_index.storage.model import NUCLEOTIDE_UNKNOWN, NUCLEOTIDE_UN... | 0.886868 | 0.516656 |
import floppyforms.__future__ as forms
from django.utils.translation import ugettext_lazy as _
from django_backend.forms import FilterForm
from django_backend.forms import SearchFilterFormMixin
from django_backend.backend.base.backends import ModelBackend
from django_backend.backend.columns import BackendColumn
from dj... | examples/simple_blog/project/blog/backend.py | import floppyforms.__future__ as forms
from django.utils.translation import ugettext_lazy as _
from django_backend.forms import FilterForm
from django_backend.forms import SearchFilterFormMixin
from django_backend.backend.base.backends import ModelBackend
from django_backend.backend.columns import BackendColumn
from dj... | 0.539226 | 0.098903 |
import pytest
from boto3.dynamodb.conditions import Attr
from pcluster.aws.dynamo import DynamoResource
@pytest.fixture()
def mocked_dynamo_table(mocker):
mock_table = mocker.MagicMock(autospec=True)
mock_dynamo_resource = mocker.patch("boto3.resource")
mock_dynamo_resource.return_value.Table.return_val... | cli/tests/pcluster/aws/test_dynamo.py |
import pytest
from boto3.dynamodb.conditions import Attr
from pcluster.aws.dynamo import DynamoResource
@pytest.fixture()
def mocked_dynamo_table(mocker):
mock_table = mocker.MagicMock(autospec=True)
mock_dynamo_resource = mocker.patch("boto3.resource")
mock_dynamo_resource.return_value.Table.return_val... | 0.475605 | 0.346541 |
import torch.nn as nn
import numpy as np
FAIRFACE_AE_N_UPSAMPLING_EXTRA = {1: 1, 2: 1, 3: 2, 4: 2, 5: 3, 6: 5, 7: 5}
class ResnetBlock(nn.Module):
"""Define a Resnet block"""
def __init__(self, dim, padding_type, norm_layer, use_dropout, use_bias):
"""Initialize the Resnet block
A r... | public/reconstruction/AEs.py | import torch.nn as nn
import numpy as np
FAIRFACE_AE_N_UPSAMPLING_EXTRA = {1: 1, 2: 1, 3: 2, 4: 2, 5: 3, 6: 5, 7: 5}
class ResnetBlock(nn.Module):
"""Define a Resnet block"""
def __init__(self, dim, padding_type, norm_layer, use_dropout, use_bias):
"""Initialize the Resnet block
A r... | 0.904445 | 0.551332 |
import pytest
from flask import session
def test_login(client, auth):
with client:
# test that successful login redirects to the index page
response = auth.login()
# login request set the user_id in the session
# check that the user is loaded from the session
assert respo... | tests/test_auth.py | import pytest
from flask import session
def test_login(client, auth):
with client:
# test that successful login redirects to the index page
response = auth.login()
# login request set the user_id in the session
# check that the user is loaded from the session
assert respo... | 0.332419 | 0.324342 |
import json
import ssl
import urllib.request
# ugly fix the ssl certificate bug
ssl._create_default_https_context = ssl._create_unverified_context
# ╔╗ ╦ ╔╦╗ ╔═╗ ╔╦╗ ╔═╗ ╔╦╗ ╔═╗
# ╠╩╗ ║ ║ ╚═╗ ║ ╠═╣ ║║║ ╠═╝
# ╚═╝ ╩ ╩ ╚═╝ ╩ ╩ ╩ ╩ ╩ ╩
raw_bitstamp_pairs = ["btcusd", "btceur", "eurusd", "x... | get_pairs_name.py |
import json
import ssl
import urllib.request
# ugly fix the ssl certificate bug
ssl._create_default_https_context = ssl._create_unverified_context
# ╔╗ ╦ ╔╦╗ ╔═╗ ╔╦╗ ╔═╗ ╔╦╗ ╔═╗
# ╠╩╗ ║ ║ ╚═╗ ║ ╠═╣ ║║║ ╠═╝
# ╚═╝ ╩ ╩ ╚═╝ ╩ ╩ ╩ ╩ ╩ ╩
raw_bitstamp_pairs = ["btcusd", "btceur", "eurusd", "x... | 0.303732 | 0.199035 |
import os
import glob
import argparse
import oneflow as flow
import transforms.spatial_transforms as ST
from image import *
from model import CSRNet
parser = argparse.ArgumentParser(description='Oneflow CSRNet')
parser.add_argument('modelPath', metavar='MODELPATH',type=str,
help='path to ... | CSRNet/val.py | import os
import glob
import argparse
import oneflow as flow
import transforms.spatial_transforms as ST
from image import *
from model import CSRNet
parser = argparse.ArgumentParser(description='Oneflow CSRNet')
parser.add_argument('modelPath', metavar='MODELPATH',type=str,
help='path to ... | 0.218503 | 0.227448 |
from typing import Any, Callable, Optional, Tuple
from _sysrepo import ffi, lib
from .util import c2str
# ------------------------------------------------------------------------------
class SysrepoError(Exception):
rc = None
__slots__ = ("msg",)
def __init__(self, msg: str):
super().__init__(... | sysrepo/errors.py |
from typing import Any, Callable, Optional, Tuple
from _sysrepo import ffi, lib
from .util import c2str
# ------------------------------------------------------------------------------
class SysrepoError(Exception):
rc = None
__slots__ = ("msg",)
def __init__(self, msg: str):
super().__init__(... | 0.650356 | 0.085327 |
import logging
import sys
import ccxt
import release_trader.webscaper as ws
websites = [
# 'binance',
# 'coinbase',
"gateio",
# 'kraken'
]
logging.basicConfig(
level=logging.INFO,
)
log_formatter = logging.Formatter(
"%(asctime)s [%(threadName)-12.12s] [%(levelname)-5.5s] %(message)s"
)
roo... | src/release_trader/check_availability.py | import logging
import sys
import ccxt
import release_trader.webscaper as ws
websites = [
# 'binance',
# 'coinbase',
"gateio",
# 'kraken'
]
logging.basicConfig(
level=logging.INFO,
)
log_formatter = logging.Formatter(
"%(asctime)s [%(threadName)-12.12s] [%(levelname)-5.5s] %(message)s"
)
roo... | 0.385143 | 0.141252 |
import csv
import bz2
import pickle
from hashlib import sha256
BASE58_ALPHABET = '123456789ABCDEFGHJKLMNPQRSTUVWXYZabcdefghijkmnopqrstuvwxyz'
BASE58_ALPHABET_INDEX = {char: index for index, char in enumerate(BASE58_ALPHABET)}
def hex_to_bytes(hexed):
if len(hexed) & 1:
hexed = '0' + hexed
return byte... | csv_to_hash160_set.py | import csv
import bz2
import pickle
from hashlib import sha256
BASE58_ALPHABET = '123456789ABCDEFGHJKLMNPQRSTUVWXYZabcdefghijkmnopqrstuvwxyz'
BASE58_ALPHABET_INDEX = {char: index for index, char in enumerate(BASE58_ALPHABET)}
def hex_to_bytes(hexed):
if len(hexed) & 1:
hexed = '0' + hexed
return byte... | 0.350977 | 0.271234 |
import scipy as sp
import matplotlib
matplotlib.rcParams = matplotlib.rc_params_from_file('../../matplotlibrc')
import matplotlib.pyplot as plt
import numpy as np
import math
from discretelognorm import discretelognorm
def reservation_wage():
m = 20
v = 200
N = 500
Wmax = 100
Wmin = 0
gamma = ... | Labs/PolicyFunctionIteration/plots.py | import scipy as sp
import matplotlib
matplotlib.rcParams = matplotlib.rc_params_from_file('../../matplotlibrc')
import matplotlib.pyplot as plt
import numpy as np
import math
from discretelognorm import discretelognorm
def reservation_wage():
m = 20
v = 200
N = 500
Wmax = 100
Wmin = 0
gamma = ... | 0.423458 | 0.598899 |
from typing import List
from sqlmodel import Session, or_
from models.job import Job, JobCreate, JobRead, JobUpdate
from models.user import User, UserSession
from services.base import BaseService
from helpers.exceptions import ApiException
from repositories.job import JobRepository
from repositories.user import UserRep... | services/job.py | from typing import List
from sqlmodel import Session, or_
from models.job import Job, JobCreate, JobRead, JobUpdate
from models.user import User, UserSession
from services.base import BaseService
from helpers.exceptions import ApiException
from repositories.job import JobRepository
from repositories.user import UserRep... | 0.678327 | 0.158174 |
import os
from flask import Flask
from flask_sqlalchemy import SQLAlchemy
from models import *
from slack import WebClient
from flask import request
from datetime import datetime
from sqlalchemy import create_engine
app = Flask(__name__)
db_url = os.environ.get('DB_URL')
app.config['SQLALCHEMY_DATABASE_URI'] = db_url
... | app.py | import os
from flask import Flask
from flask_sqlalchemy import SQLAlchemy
from models import *
from slack import WebClient
from flask import request
from datetime import datetime
from sqlalchemy import create_engine
app = Flask(__name__)
db_url = os.environ.get('DB_URL')
app.config['SQLALCHEMY_DATABASE_URI'] = db_url
... | 0.274935 | 0.043164 |
import numpy as np
from baselines.ecbp.agents.buffer.lru_knn_combine import LRU_KNN_COMBINE
from baselines.ecbp.agents.graph.model import *
import tensorflow as tf
from baselines.ecbp.agents.graph.build_graph_dueling import *
from baselines import logger
import copy
class OnlineAgent(object):
def __init__(self, m... | baselines/ecbp/agents/online_agent.py | import numpy as np
from baselines.ecbp.agents.buffer.lru_knn_combine import LRU_KNN_COMBINE
from baselines.ecbp.agents.graph.model import *
import tensorflow as tf
from baselines.ecbp.agents.graph.build_graph_dueling import *
from baselines import logger
import copy
class OnlineAgent(object):
def __init__(self, m... | 0.416559 | 0.23579 |
import random
import string
import subprocess #Process commands
import socket #Process socket data
import pyfiglet
import sys
import os
from subprocess import call
def SplashScreen():
print(" . ) )")
print(" ( (| .")
print(" ) )\/ ( ( (")
prin... | tools/pswf.py | import random
import string
import subprocess #Process commands
import socket #Process socket data
import pyfiglet
import sys
import os
from subprocess import call
def SplashScreen():
print(" . ) )")
print(" ( (| .")
print(" ) )\/ ( ( (")
prin... | 0.093388 | 0.058561 |
import time
import struct
from collections import namedtuple
from mesh.generic.tdmaState import TDMAStatus
from mesh.generic.cmdDict import CmdDict
from mesh.generic.cmds import NodeCmds, PixhawkCmds, TDMACmds, PixhawkFCCmds
from mesh.generic.commandMsg import CommandMsg
from mesh.generic.navigation import convertLatLo... | python/unittests/testCmds.py | import time
import struct
from collections import namedtuple
from mesh.generic.tdmaState import TDMAStatus
from mesh.generic.cmdDict import CmdDict
from mesh.generic.cmds import NodeCmds, PixhawkCmds, TDMACmds, PixhawkFCCmds
from mesh.generic.commandMsg import CommandMsg
from mesh.generic.navigation import convertLatLo... | 0.134066 | 0.112308 |
import os.path
import logging
from typing import List, Optional
from google.auth.transport.requests import Request
from google.auth.exceptions import RefreshError
from google.oauth2.credentials import Credentials
from google_auth_oauthlib.flow import InstalledAppFlow
from googleapiclient.discovery import build
from .... | src/service/gcal/__init__.py | import os.path
import logging
from typing import List, Optional
from google.auth.transport.requests import Request
from google.auth.exceptions import RefreshError
from google.oauth2.credentials import Credentials
from google_auth_oauthlib.flow import InstalledAppFlow
from googleapiclient.discovery import build
from .... | 0.698535 | 0.216032 |
import os
from pathlib import Path
from numba import cuda, jit
import numpy as np
os.chdir(Path.cwd().parent)
from pahmc_ode_gpu import cuda_lib_dynamics
os.chdir(Path.cwd()/'unit_tests')
"""Prepare data, as well as variables to be compared to."""
name = 'lorenz96'
D = 200
M = 2000
X = np.random.... | unit_tests/test-cuda_dynamics (lorenz96).py | import os
from pathlib import Path
from numba import cuda, jit
import numpy as np
os.chdir(Path.cwd().parent)
from pahmc_ode_gpu import cuda_lib_dynamics
os.chdir(Path.cwd()/'unit_tests')
"""Prepare data, as well as variables to be compared to."""
name = 'lorenz96'
D = 200
M = 2000
X = np.random.... | 0.453988 | 0.398611 |
import csv
import string
from model import Model
import numpy as np
from progress.bar import Bar
import util
from datetime import datetime
import codecs
from lime.lime_tabular import LimeTabularExplainer
class TimeModel(Model):
model = 'time'
def __init__(self, datapath=""):
super().__init__('time', ... | linreg/time_model.py | import csv
import string
from model import Model
import numpy as np
from progress.bar import Bar
import util
from datetime import datetime
import codecs
from lime.lime_tabular import LimeTabularExplainer
class TimeModel(Model):
model = 'time'
def __init__(self, datapath=""):
super().__init__('time', ... | 0.39129 | 0.404155 |
import hmac
import hashlib
import binascii
import base64
import json
from datetime import datetime
key = "<KEY>"
byte_key = binascii.unhexlify(key)
# creates dictionary object
def create_jwt(exp: int = 60 * 60 * 1000) -> dict:
return {
"header": {
"alg": "HS256",
... | pyjwt.py | import hmac
import hashlib
import binascii
import base64
import json
from datetime import datetime
key = "<KEY>"
byte_key = binascii.unhexlify(key)
# creates dictionary object
def create_jwt(exp: int = 60 * 60 * 1000) -> dict:
return {
"header": {
"alg": "HS256",
... | 0.395951 | 0.144934 |
from django.shortcuts import get_object_or_404
from rest_framework import filters, permissions, status
from rest_framework.decorators import action
from rest_framework.pagination import PageNumberPagination
from rest_framework.permissions import AllowAny, IsAdminUser, IsAuthenticated
from rest_framework.response import... | api/views.py | from django.shortcuts import get_object_or_404
from rest_framework import filters, permissions, status
from rest_framework.decorators import action
from rest_framework.pagination import PageNumberPagination
from rest_framework.permissions import AllowAny, IsAdminUser, IsAuthenticated
from rest_framework.response import... | 0.620392 | 0.077727 |
from sympy import *
import sys
sys.path.insert(1, '..')
from tait_bryan_R_utils import *
from rodrigues_R_utils import *
from quaternion_R_utils import *
px_1, py_1, pz_1 = symbols('px_1 py_1 pz_1')
om_1, fi_1, ka_1 = symbols('om_1 fi_1 ka_1')
#sx_1, sy_1, sz_1 = symbols('sx_1 sy_1 sz_1')
#q0_1, q1_1, q2_1, q3_1 = sym... | codes/python-scripts/camera-metrics/metric_camera_coplanarity_tait_bryan_wc_jacobian.py | from sympy import *
import sys
sys.path.insert(1, '..')
from tait_bryan_R_utils import *
from rodrigues_R_utils import *
from quaternion_R_utils import *
px_1, py_1, pz_1 = symbols('px_1 py_1 pz_1')
om_1, fi_1, ka_1 = symbols('om_1 fi_1 ka_1')
#sx_1, sy_1, sz_1 = symbols('sx_1 sy_1 sz_1')
#q0_1, q1_1, q2_1, q3_1 = sym... | 0.320821 | 0.503967 |
from logging import getLogger
import requests_cache
from kivy.clock import Clock
from naturtag.app import alert, get_app
from naturtag.controllers import Controller
from naturtag.inat_metadata import get_http_cache_size
from naturtag.thumbnails import delete_thumbnails, get_thumbnail_cache_size
logger = getLogger(__... | naturtag/controllers/cache_controller.py | from logging import getLogger
import requests_cache
from kivy.clock import Clock
from naturtag.app import alert, get_app
from naturtag.controllers import Controller
from naturtag.inat_metadata import get_http_cache_size
from naturtag.thumbnails import delete_thumbnails, get_thumbnail_cache_size
logger = getLogger(__... | 0.785966 | 0.053034 |
from azure.cli.core.commands.parameters import (
tags_type,
get_enum_type,
resource_group_name_type,
get_location_type
)
from azure.cli.core.commands.validators import (
get_default_location_from_resource_group,
validate_file_or_dict
)
from azext_healthcareapis.action import (
AddAccessPoli... | src/healthcareapis/azext_healthcareapis/generated/_params.py |
from azure.cli.core.commands.parameters import (
tags_type,
get_enum_type,
resource_group_name_type,
get_location_type
)
from azure.cli.core.commands.validators import (
get_default_location_from_resource_group,
validate_file_or_dict
)
from azext_healthcareapis.action import (
AddAccessPoli... | 0.627951 | 0.056288 |
from os import name
from src.Types.TokenTypes import TokenTypes
from src.Node import Node
from src.SymbolTable import SymbolTable
from src.Nodes.FuncArguments import FuncArguments
from llvmlite import ir
class FuncDeclaration(Node):
def __init__(self, func_name, statements, args: FuncArguments):
self.args ... | src/Nodes/FuncDeclaration.py | from os import name
from src.Types.TokenTypes import TokenTypes
from src.Node import Node
from src.SymbolTable import SymbolTable
from src.Nodes.FuncArguments import FuncArguments
from llvmlite import ir
class FuncDeclaration(Node):
def __init__(self, func_name, statements, args: FuncArguments):
self.args ... | 0.400632 | 0.234385 |
import time
from code_statistics import *
imgurl = "https://ae01.alicdn.com/kf/U56b2fb24ff7b4e5fa05c5acf7d3d0318r.jpg"
file_name = "day.html"
if __name__ == "__main__":
print(time.strftime("%Y-%m-%d %H:%M:%S", time.localtime()) + " [日]")
time1 = time.strftime("%Y-%m-%d 00:00:00") # 开始时间
time2 = time.st... | day.py | import time
from code_statistics import *
imgurl = "https://ae01.alicdn.com/kf/U56b2fb24ff7b4e5fa05c5acf7d3d0318r.jpg"
file_name = "day.html"
if __name__ == "__main__":
print(time.strftime("%Y-%m-%d %H:%M:%S", time.localtime()) + " [日]")
time1 = time.strftime("%Y-%m-%d 00:00:00") # 开始时间
time2 = time.st... | 0.125426 | 0.122418 |