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 sys
from PySide6.QtCore import Qt, Signal, Slot
from PySide6.QtWidgets import (QApplication, QDialog, QGridLayout,
QHBoxLayout, QLabel, QLineEdit,
QMessageBox, QPushButton, QTextEdit,
QVBoxLayout, QWidget)
class Sort... | sample-demo/venv/Lib/site-packages/PySide6/examples/widgets/tutorials/addressbook/part4.py |
import sys
from PySide6.QtCore import Qt, Signal, Slot
from PySide6.QtWidgets import (QApplication, QDialog, QGridLayout,
QHBoxLayout, QLabel, QLineEdit,
QMessageBox, QPushButton, QTextEdit,
QVBoxLayout, QWidget)
class Sort... | 0.510252 | 0.082846 |
import io
import unittest
import time
import memcache
import subprocess
import pytest
from py4web import request, response, Session, DAL
from py4web.core import _before_request
from py4web.utils.dbstore import DBStore
class TestSession(unittest.TestCase):
def setUp(self):
request.environ["wsgi.input"] = ... | tests/test_session.py | import io
import unittest
import time
import memcache
import subprocess
import pytest
from py4web import request, response, Session, DAL
from py4web.core import _before_request
from py4web.utils.dbstore import DBStore
class TestSession(unittest.TestCase):
def setUp(self):
request.environ["wsgi.input"] = ... | 0.373762 | 0.188287 |
import gzip
import os
import shutil
from pathlib import Path
from tempfile import NamedTemporaryFile
import pytest
import skhep_testdata
import pylhe
TEST_FILE = skhep_testdata.data_path("pylhe-testfile-pr29.lhe")
@pytest.fixture(scope="session")
def testdata_gzip_file():
test_data = skhep_testdata.data_path("... | tests/test_lhe_reader.py | import gzip
import os
import shutil
from pathlib import Path
from tempfile import NamedTemporaryFile
import pytest
import skhep_testdata
import pylhe
TEST_FILE = skhep_testdata.data_path("pylhe-testfile-pr29.lhe")
@pytest.fixture(scope="session")
def testdata_gzip_file():
test_data = skhep_testdata.data_path("... | 0.337204 | 0.390737 |
import pytest
from django.contrib.auth.models import Group
from django.urls import reverse
from guardian.shortcuts import get_group_perms, get_objects_for_group
class TestGroupView:
def test_group_list_permission_required(self, django_app, volunteer):
response = django_app.get(reverse("core:group_list"), ... | tests/core/test_views_group.py | import pytest
from django.contrib.auth.models import Group
from django.urls import reverse
from guardian.shortcuts import get_group_perms, get_objects_for_group
class TestGroupView:
def test_group_list_permission_required(self, django_app, volunteer):
response = django_app.get(reverse("core:group_list"), ... | 0.406037 | 0.31237 |
import re, itertools
def get_all_occurrence_ends(sub, a_str):
start = 0
while True:
start = a_str.find(sub, start)
if start == -1: return
yield start + len(sub)
start += 1
def is_ascending_sequence(seq):
"""2 same values next to each other not allowed"""
if seq == [... | reverse-templating.py |
import re, itertools
def get_all_occurrence_ends(sub, a_str):
start = 0
while True:
start = a_str.find(sub, start)
if start == -1: return
yield start + len(sub)
start += 1
def is_ascending_sequence(seq):
"""2 same values next to each other not allowed"""
if seq == [... | 0.451085 | 0.476214 |
import datetime
import logging
from enum import Enum, auto
import sqlalchemy
from typing import Tuple, List
from sqlalchemy import func, cast
from backend.blueprints.spa_api.errors.errors import CalculatedError
from backend.blueprints.spa_api.service_layers.utils import with_session
from backend.database.objects imp... | backend/database/wrapper/stats/player_stat_wrapper.py | import datetime
import logging
from enum import Enum, auto
import sqlalchemy
from typing import Tuple, List
from sqlalchemy import func, cast
from backend.blueprints.spa_api.errors.errors import CalculatedError
from backend.blueprints.spa_api.service_layers.utils import with_session
from backend.database.objects imp... | 0.762247 | 0.16896 |
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
from itertools import groupby
import math
import matplotlib
import argparse
import gzip
matplotlib.use('AGG') # Save matplots as PNGs
def parse_fasta(fasta_file):
stpmx = []
with gzip.open(fasta_file) as handle:
for header, gr... | bin/readLenSummaryStats.py |
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
from itertools import groupby
import math
import matplotlib
import argparse
import gzip
matplotlib.use('AGG') # Save matplots as PNGs
def parse_fasta(fasta_file):
stpmx = []
with gzip.open(fasta_file) as handle:
for header, gr... | 0.382257 | 0.342627 |
import os
import shutil
import unittest
from tests.base import (
HPSS_ARCHIVE,
TOP_LEVEL,
ZSTASH_PATH,
TestZstash,
compare,
print_in_box,
print_starred,
run_cmd,
write_file,
)
class TestCheck(TestZstash):
"""
Test `zstash check`.
"""
# `zstash check` is tested in ... | tests/test_check.py | import os
import shutil
import unittest
from tests.base import (
HPSS_ARCHIVE,
TOP_LEVEL,
ZSTASH_PATH,
TestZstash,
compare,
print_in_box,
print_starred,
run_cmd,
write_file,
)
class TestCheck(TestZstash):
"""
Test `zstash check`.
"""
# `zstash check` is tested in ... | 0.421195 | 0.294488 |
import base64
import flask
from fles import app # noqa
from fles import kratlib # noqa
KRAT = kratlib.Fles()
@app.route("/", methods=['GET', 'POST'])
@app.route("/state", methods=['GET', 'POST'])
def state():
"""
Prepare images for display and render the website.
Returns:
A Flask rendered te... | bin/fles/state.py |
import base64
import flask
from fles import app # noqa
from fles import kratlib # noqa
KRAT = kratlib.Fles()
@app.route("/", methods=['GET', 'POST'])
@app.route("/state", methods=['GET', 'POST'])
def state():
"""
Prepare images for display and render the website.
Returns:
A Flask rendered te... | 0.432423 | 0.197483 |
import csv
from collections import defaultdict
import os
import random
import sys
import numpy as np
import tensorflow as tf
import inputs
import model
# For Kaggle evaluation, we want MAP@3.
TOP_N = 3
def get_top_predicted_classes(predicted):
"""Computes the top N predicted classes given the prediction scores f... | task2/evaluation.py |
import csv
from collections import defaultdict
import os
import random
import sys
import numpy as np
import tensorflow as tf
import inputs
import model
# For Kaggle evaluation, we want MAP@3.
TOP_N = 3
def get_top_predicted_classes(predicted):
"""Computes the top N predicted classes given the prediction scores f... | 0.666171 | 0.407098 |
import os
from deepblast.dataset.utils import state_f, revstate_f
import pandas as pd
import numpy as np
from collections import Counter
def read_mali(root, tool='manual', report_ids=False):
""" Reads in all alignments.
Parameters
----------
root : path
Path to root directory
tool : str
... | deepblast/dataset/parse_mali.py | import os
from deepblast.dataset.utils import state_f, revstate_f
import pandas as pd
import numpy as np
from collections import Counter
def read_mali(root, tool='manual', report_ids=False):
""" Reads in all alignments.
Parameters
----------
root : path
Path to root directory
tool : str
... | 0.68742 | 0.351228 |
import numpy as np
import cmath
def s(series):
""" sums elements in series
Notes
---------
.. math::
Z = Z_1 + Z_2 + ... + Z_n
"""
z = len(series[0])*[0 + 0*1j]
for elem in series:
z += elem
return z
def p(parallel):
""" adds elements in parallel
Notes
... | impedance/circuit_elements.py | import numpy as np
import cmath
def s(series):
""" sums elements in series
Notes
---------
.. math::
Z = Z_1 + Z_2 + ... + Z_n
"""
z = len(series[0])*[0 + 0*1j]
for elem in series:
z += elem
return z
def p(parallel):
""" adds elements in parallel
Notes
... | 0.828766 | 0.70657 |
import gym
from simglucose.simulation.env import T1DSimEnv
from simglucose.controller.basal_bolus_ctrller import BBController
from simglucose.sensor.cgm import CGMSensor
from simglucose.actuator.pump import InsulinPump
from simglucose.patient.t1dpatient import T1DPatient
from simglucose.simulation.scenario_gen import R... | bb-pid/BBgreedy.py | import gym
from simglucose.simulation.env import T1DSimEnv
from simglucose.controller.basal_bolus_ctrller import BBController
from simglucose.sensor.cgm import CGMSensor
from simglucose.actuator.pump import InsulinPump
from simglucose.patient.t1dpatient import T1DPatient
from simglucose.simulation.scenario_gen import R... | 0.385259 | 0.381277 |
import os
import hashlib
import math
import sys
import time
from creatorUtils.compat.types import *
#Constants
LITTLE = True # Marker for little endian
BIG = False # Marker for big endian
##-------------------STRING-------------------##
def divide(string, length):
"""
Divides a string into multipl... | creatorUtils/forma.py | import os
import hashlib
import math
import sys
import time
from creatorUtils.compat.types import *
#Constants
LITTLE = True # Marker for little endian
BIG = False # Marker for big endian
##-------------------STRING-------------------##
def divide(string, length):
"""
Divides a string into multipl... | 0.419886 | 0.25197 |
import argparse
import datetime
import logging
import os
import pprint
import shutil
import sys
import time
import zlib
import sqlalchemy as sqla
import sqlalchemy.orm as sqla_orm
import zmq
try:
import rapidjson as json
except ImportError:
import json
import cog.util
import cogdb
import cogdb.eddb
import cog... | cogdb/eddn.py | import argparse
import datetime
import logging
import os
import pprint
import shutil
import sys
import time
import zlib
import sqlalchemy as sqla
import sqlalchemy.orm as sqla_orm
import zmq
try:
import rapidjson as json
except ImportError:
import json
import cog.util
import cogdb
import cogdb.eddb
import cog... | 0.428712 | 0.101012 |
from flask import Flask, render_template, request, redirect, url_for
import numpy as np
import pickle
from sklearn import cluster
app = Flask(__name__, static_url_path='/static')
@app.route('/')
@app.route('/home')
def home_page():
return render_template('home.html')
@app.route('/classification', methods=['GET'... | deployment/app.py | from flask import Flask, render_template, request, redirect, url_for
import numpy as np
import pickle
from sklearn import cluster
app = Flask(__name__, static_url_path='/static')
@app.route('/')
@app.route('/home')
def home_page():
return render_template('home.html')
@app.route('/classification', methods=['GET'... | 0.658637 | 0.223409 |
from typing import Any, Dict, Tuple, Union
import torch
from torchsparse.utils import make_ntuple
__all__ = ['SparseTensor', 'PointTensor']
class SparseTensor:
def __init__(self,
feats: torch.Tensor,
coords: torch.Tensor,
stride: Union[int, Tuple[int, ...]] =... | torchsparse/tensor.py | from typing import Any, Dict, Tuple, Union
import torch
from torchsparse.utils import make_ntuple
__all__ = ['SparseTensor', 'PointTensor']
class SparseTensor:
def __init__(self,
feats: torch.Tensor,
coords: torch.Tensor,
stride: Union[int, Tuple[int, ...]] =... | 0.945538 | 0.547283 |
import os
import re
import htmlentitydefs
import requests
from django.shortcuts import render
from django.conf import settings
from django.http import HttpResponse
from datetime import datetime
from pybars import Compiler
from HTMLParser import HTMLParser
# Takes a response (e.g. from Wordpress) and converts it into... | syte/views/blog.py | import os
import re
import htmlentitydefs
import requests
from django.shortcuts import render
from django.conf import settings
from django.http import HttpResponse
from datetime import datetime
from pybars import Compiler
from HTMLParser import HTMLParser
# Takes a response (e.g. from Wordpress) and converts it into... | 0.294925 | 0.088269 |
import tkinter as tk
import tkinter.ttk as ttk
import lbseed.blocks as blocks
class SettingsPage:
"""Mixin class to provide the configuration page to the application."""
def setup_page_settings(self, parent):
self.setup_top_settings(parent)
self.setup_textbox_settings(parent)
def setup_t... | lbseed/pages_base.py | import tkinter as tk
import tkinter.ttk as ttk
import lbseed.blocks as blocks
class SettingsPage:
"""Mixin class to provide the configuration page to the application."""
def setup_page_settings(self, parent):
self.setup_top_settings(parent)
self.setup_textbox_settings(parent)
def setup_t... | 0.544922 | 0.101233 |
import pprint
import Registers
import Constants
import Labels
op = {
'newfunc': 'newfunc ',
'newobj': 'newobj ',
'getfield': 'getfield ',
'findfield': 'findfield ',
'getvar': 'getvar ',
'findvar': 'findvar ',
'typeof': 'typeof ',
'cmp': 'cmp ',
'... | lift/Generator/Builder.py | import pprint
import Registers
import Constants
import Labels
op = {
'newfunc': 'newfunc ',
'newobj': 'newobj ',
'getfield': 'getfield ',
'findfield': 'findfield ',
'getvar': 'getvar ',
'findvar': 'findvar ',
'typeof': 'typeof ',
'cmp': 'cmp ',
'... | 0.22627 | 0.178992 |
from __future__ import division
from __future__ import print_function
from __future__ import absolute_import
import sys
from pathlib import Path
import numpy as np
import matplotlib.pyplot as plt
import posthoc_learn.banalg as banalg
from posthoc_learn.config import posthoc_config as config
from posthoc_learn.conban_... | scripts/run_regret_experiment.py | from __future__ import division
from __future__ import print_function
from __future__ import absolute_import
import sys
from pathlib import Path
import numpy as np
import matplotlib.pyplot as plt
import posthoc_learn.banalg as banalg
from posthoc_learn.config import posthoc_config as config
from posthoc_learn.conban_... | 0.665193 | 0.536738 |
import bz2
import gzip
import re
import warnings
import zipfile
from contextlib import contextmanager
from io import BytesIO
from pathlib import Path
from typing import Union
import ncompress as lzw
from .hatanaka import crx2rnx, rnx2crx
__all__ = [
'decompress', 'decompress_on_disk', 'get_decompressed_path',
... | hatanaka/general_compression.py | import bz2
import gzip
import re
import warnings
import zipfile
from contextlib import contextmanager
from io import BytesIO
from pathlib import Path
from typing import Union
import ncompress as lzw
from .hatanaka import crx2rnx, rnx2crx
__all__ = [
'decompress', 'decompress_on_disk', 'get_decompressed_path',
... | 0.833019 | 0.390534 |
import re
import pandas as pd
from torch.utils import data
def preprocess(text):
# lower-case characters
text = text.lower()
# Change 't to 'not'
text = re.sub(r'\'t', ' not', text)
# add space after $
text = text.replace(r'$', r'$ ')
# remove explicit \n
text = re.sub(r'(\\n)+', r' ',... | datasets/cls_dataset.py | import re
import pandas as pd
from torch.utils import data
def preprocess(text):
# lower-case characters
text = text.lower()
# Change 't to 'not'
text = re.sub(r'\'t', ' not', text)
# add space after $
text = text.replace(r'$', r'$ ')
# remove explicit \n
text = re.sub(r'(\\n)+', r' ',... | 0.529993 | 0.160233 |
import mock
from rest_framework import status, test
from waldur_aws import models
from . import factories, fixtures
class InstanceCreateTest(test.APITransactionTestCase):
def setUp(self):
self.fixture = fixtures.AWSFixture()
self.url = factories.InstanceFactory.get_list_url()
@mock.patch('... | src/waldur_aws/tests/test_instances.py | import mock
from rest_framework import status, test
from waldur_aws import models
from . import factories, fixtures
class InstanceCreateTest(test.APITransactionTestCase):
def setUp(self):
self.fixture = fixtures.AWSFixture()
self.url = factories.InstanceFactory.get_list_url()
@mock.patch('... | 0.652795 | 0.218649 |
import unittest
from mockito import when
import numpy as np
# Local imports
from veroku.factors import _sigma_points
import veroku.factors.gaussian as gauss
class TestSigmaPoints(unittest.TestCase):
"""
A test class for the _sigma_points module.
"""
def setUp(self):
"""
Run before ev... | veroku/tests/unit/test__sigma_points.py | import unittest
from mockito import when
import numpy as np
# Local imports
from veroku.factors import _sigma_points
import veroku.factors.gaussian as gauss
class TestSigmaPoints(unittest.TestCase):
"""
A test class for the _sigma_points module.
"""
def setUp(self):
"""
Run before ev... | 0.61115 | 0.59193 |
from datetime import timedelta as td
import json
from unittest.mock import patch
from django.core import mail
from django.utils.timezone import now
from hc.api.models import Channel, Check, Notification
from hc.test import BaseTestCase
class NotifyTestCase(BaseTestCase):
def _setup_data(self, value, status="dow... | hc/api/tests/test_notify_whatsapp.py |
from datetime import timedelta as td
import json
from unittest.mock import patch
from django.core import mail
from django.utils.timezone import now
from hc.api.models import Channel, Check, Notification
from hc.test import BaseTestCase
class NotifyTestCase(BaseTestCase):
def _setup_data(self, value, status="dow... | 0.551574 | 0.232931 |
from __init__ import *
import matplotlib.pyplot as plt
from matplotlib import rc
rc('text', usetex=True)
from data_analysis import Analyze
from mc2pdf import MCprocessing
from datamanage import DataIO
from montecarlo import MonteCarlo
from analytical_solutions import AnalyticalSolution, gaussian
from mc2pdf import MCp... | code/testcases/Burgers_MC_PDF_PLOT.py | from __init__ import *
import matplotlib.pyplot as plt
from matplotlib import rc
rc('text', usetex=True)
from data_analysis import Analyze
from mc2pdf import MCprocessing
from datamanage import DataIO
from montecarlo import MonteCarlo
from analytical_solutions import AnalyticalSolution, gaussian
from mc2pdf import MCp... | 0.403332 | 0.48182 |
from __future__ import print_function
import flydra_analysis.a2.core_analysis as core_analysis
import numpy as np
import flydra_analysis.a2.utils as utils
class EquivalentObjectFinder:
def __init__(self, src_h5, dst_h5):
self.ca = core_analysis.get_global_CachingAnalyzer()
self.src_h5 = src_h5
... | flydra_analysis/flydra_analysis/a2/find_equiv_obj_id.py | from __future__ import print_function
import flydra_analysis.a2.core_analysis as core_analysis
import numpy as np
import flydra_analysis.a2.utils as utils
class EquivalentObjectFinder:
def __init__(self, src_h5, dst_h5):
self.ca = core_analysis.get_global_CachingAnalyzer()
self.src_h5 = src_h5
... | 0.756537 | 0.265812 |
import numpy as np
from pyquil.experiment import plusX
from pyquil.experiment._result import (
bitstrings_to_expectations,
correct_experiment_result,
ratio_variance,
ExperimentResult,
ExperimentSetting,
)
from pyquil.paulis import sZ
def test_bitstrings_to_expectations():
bitstrings = np.arra... | test/unit/test_result.py | import numpy as np
from pyquil.experiment import plusX
from pyquil.experiment._result import (
bitstrings_to_expectations,
correct_experiment_result,
ratio_variance,
ExperimentResult,
ExperimentSetting,
)
from pyquil.paulis import sZ
def test_bitstrings_to_expectations():
bitstrings = np.arra... | 0.753739 | 0.688835 |
import stablab
import numpy as np
import matplotlib.pyplot as plt
import scipy.io
import scipy.integrate
from itertools import cycle
def get_chebyshev_coefficients(f,a,b,kind=1):
"""Obtain the chebyshev coefficients for the chebyshev polynomial
which interpolates the data f on the chebyshev nodes in the interv... | example_systems/hills_method/hills_method.py | import stablab
import numpy as np
import matplotlib.pyplot as plt
import scipy.io
import scipy.integrate
from itertools import cycle
def get_chebyshev_coefficients(f,a,b,kind=1):
"""Obtain the chebyshev coefficients for the chebyshev polynomial
which interpolates the data f on the chebyshev nodes in the interv... | 0.669205 | 0.767799 |
import os
import sys
import unittest
from unittest.mock import ANY, patch
sys.path.append('{}/../checks.d/'.format(os.path.dirname(__file__)))
import grpc_check
from datadog_checks.base import ConfigurationError
from datadog_checks.base.errors import CheckException
class TestGrpcCheck(unittest.TestCase):
def t... | tests/test_grpc_check.py | import os
import sys
import unittest
from unittest.mock import ANY, patch
sys.path.append('{}/../checks.d/'.format(os.path.dirname(__file__)))
import grpc_check
from datadog_checks.base import ConfigurationError
from datadog_checks.base.errors import CheckException
class TestGrpcCheck(unittest.TestCase):
def t... | 0.488283 | 0.298255 |
import glob
import os
import pathlib
import plistlib
import sqlite3
import json
import textwrap
import scripts.artifacts.artGlobals
from packaging import version
from scripts.artifact_report import ArtifactHtmlReport
from scripts.ilapfuncs import logfunc, tsv, timeline, is_platform_windows
from scripts.ccl import cc... | scripts/artifacts/knowCall.py | import glob
import os
import pathlib
import plistlib
import sqlite3
import json
import textwrap
import scripts.artifacts.artGlobals
from packaging import version
from scripts.artifact_report import ArtifactHtmlReport
from scripts.ilapfuncs import logfunc, tsv, timeline, is_platform_windows
from scripts.ccl import cc... | 0.099547 | 0.100437 |
import subprocess
word="In de gang van een gebouw"
stdout, stderr = subprocess.Popen(
['cowsay', word]).communicate()
word="Ik ga straks niet meer naast Doornroosje zitten. No way!"
stdout, stderr = subprocess.Popen(
['cowsay', '-f', 'small', word]).communicate()
word="Oh ... | Lydienne/cowsay_conversation/groepstherapie.py |
import subprocess
word="In de gang van een gebouw"
stdout, stderr = subprocess.Popen(
['cowsay', word]).communicate()
word="Ik ga straks niet meer naast Doornroosje zitten. No way!"
stdout, stderr = subprocess.Popen(
['cowsay', '-f', 'small', word]).communicate()
word="Oh ... | 0.23118 | 0.192558 |
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
from google.p... | clarifai/rest/grpc/proto/clarifai/api/audio_pb2.py |
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
from google.p... | 0.131717 | 0.084644 |
import dataclasses
import json
import pathlib
from typing import Mapping, Sequence
from ldp.utils.typing import PathLike
@dataclasses.dataclass(frozen=True)
class Region:
"""A single region within a condition."""
number: int
content: str
@dataclasses.dataclass(frozen=True)
class Condition:
"""A si... | ldp/parse/syntax_gym.py | import dataclasses
import json
import pathlib
from typing import Mapping, Sequence
from ldp.utils.typing import PathLike
@dataclasses.dataclass(frozen=True)
class Region:
"""A single region within a condition."""
number: int
content: str
@dataclasses.dataclass(frozen=True)
class Condition:
"""A si... | 0.923648 | 0.458046 |
import pprint
import re # noqa: F401
import six
from dlxapi.configuration import Configuration
class SpreadsheetReportProgressMessagePayload(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
"""
Attributes:
swagger_... | python/dlxapi/models/spreadsheet_report_progress_message_payload.py | import pprint
import re # noqa: F401
import six
from dlxapi.configuration import Configuration
class SpreadsheetReportProgressMessagePayload(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
"""
Attributes:
swagger_... | 0.584627 | 0.085978 |
from math import cos, pi
import numpy
from chainer.training import extension
class CosineAnnealing(extension.Extension):
'''
https://gist.github.com/hrsma2i/9c6514e94cd5e802d9e216aef2bcfe59
'''
def __init__(self, lr_max, lr_min=0, T_0=1, T_mult=2,
optimizer=None):
... | cosine_annealing.py | from math import cos, pi
import numpy
from chainer.training import extension
class CosineAnnealing(extension.Extension):
'''
https://gist.github.com/hrsma2i/9c6514e94cd5e802d9e216aef2bcfe59
'''
def __init__(self, lr_max, lr_min=0, T_0=1, T_mult=2,
optimizer=None):
... | 0.665845 | 0.13187 |
import sys
import random
import unittest
try:
import StringIO
except ImportError:
import io as StringIO
from funtoo.core import config
class ErrorTests(unittest.TestCase):
def test_noarg(self):
error = config.ConfigFileError()
expected = "(no message)"
self.assertEqual(expected, str(error))
def test_onea... | tests/funtoo/core/ConfigTests.py |
import sys
import random
import unittest
try:
import StringIO
except ImportError:
import io as StringIO
from funtoo.core import config
class ErrorTests(unittest.TestCase):
def test_noarg(self):
error = config.ConfigFileError()
expected = "(no message)"
self.assertEqual(expected, str(error))
def test_onea... | 0.277865 | 0.236065 |
import pandas as pd
import pickle
import numpy as np
import matplotlib.pyplot as plt
def dataset_statistic(csv_file, domain_dict, dataset_name, dataset_dir):
"""
dataset statistic need csv file and domain_dict (describe each column of csv)
"""
dataset = pd.read_csv(csv_file, encoding='utf-8').sort... | utils/statistic.py | import pandas as pd
import pickle
import numpy as np
import matplotlib.pyplot as plt
def dataset_statistic(csv_file, domain_dict, dataset_name, dataset_dir):
"""
dataset statistic need csv file and domain_dict (describe each column of csv)
"""
dataset = pd.read_csv(csv_file, encoding='utf-8').sort... | 0.280321 | 0.350394 |
import logging
import os
from typing import List, Sequence, Union
import eagerpy as ep
import foolbox as fb
import hydra
import torch
from omegaconf import OmegaConf
from torch.utils.data import DataLoader
from torchvision.transforms import transforms
from tqdm import tqdm
from hiding_adversarial_attacks._neptune.uti... | src/hiding_adversarial_attacks/run_attack_on_data.py | import logging
import os
from typing import List, Sequence, Union
import eagerpy as ep
import foolbox as fb
import hydra
import torch
from omegaconf import OmegaConf
from torch.utils.data import DataLoader
from torchvision.transforms import transforms
from tqdm import tqdm
from hiding_adversarial_attacks._neptune.uti... | 0.792304 | 0.202384 |
from firedrake import *
from MS_system import MS_constraint
import numpy as np
from ReducedFunctionalSafe import ReducedFunctionalSafe
from firedrake_adjoint import *
def parameter_optimization(target):
# Create the Augmented system
problem = MS_constraint()
# Compute the initial guess
proble... | FitzHugh_Nagumo/main.py | from firedrake import *
from MS_system import MS_constraint
import numpy as np
from ReducedFunctionalSafe import ReducedFunctionalSafe
from firedrake_adjoint import *
def parameter_optimization(target):
# Create the Augmented system
problem = MS_constraint()
# Compute the initial guess
proble... | 0.790652 | 0.306546 |
import dataclasses
from html import escape
from html.parser import HTMLParser
import io
import logging
logger = logging.getLogger(__name__)
__all__ = [
"Element",
"escape",
"Parser",
]
# See: https://html.spec.whatwg.org/multipage/syntax.html#void-elements
SELF_CLOSING = {
"area",
"base",
"br... | komorebi/html.py | import dataclasses
from html import escape
from html.parser import HTMLParser
import io
import logging
logger = logging.getLogger(__name__)
__all__ = [
"Element",
"escape",
"Parser",
]
# See: https://html.spec.whatwg.org/multipage/syntax.html#void-elements
SELF_CLOSING = {
"area",
"base",
"br... | 0.616474 | 0.1011 |
import time
import socket
from socket import *
import threading
import numpy as np
import cv2
import bottle
import smtplib
from email.mime.image import MIMEImage
from email.mime.multipart import MIMEMultipart
SAVE_DIR = './motion'
ID, PW = 'YOUR_GMAIL_ID', 'YOUR_GMAIL_PW'
IP, PORT = '192.168.0.218', '5123'
WIDTH, HEI... | WebStreaming/webstream_gmail.py |
import time
import socket
from socket import *
import threading
import numpy as np
import cv2
import bottle
import smtplib
from email.mime.image import MIMEImage
from email.mime.multipart import MIMEMultipart
SAVE_DIR = './motion'
ID, PW = 'YOUR_GMAIL_ID', 'YOUR_GMAIL_PW'
IP, PORT = '192.168.0.218', '5123'
WIDTH, HEI... | 0.359139 | 0.215888 |
from __future__ import division
import numpy
import sys
from zope.interface import implementer
import veles.error as error
from veles.memory import Array
from veles.mutable import Bool
from veles.units import Unit, IUnit
@implementer(IUnit)
class FixAccumulator(Unit):
"""
Range accumulator.
"""
def ... | accumulator.py | from __future__ import division
import numpy
import sys
from zope.interface import implementer
import veles.error as error
from veles.memory import Array
from veles.mutable import Bool
from veles.units import Unit, IUnit
@implementer(IUnit)
class FixAccumulator(Unit):
"""
Range accumulator.
"""
def ... | 0.366023 | 0.184143 |
from metadata.config import config
from metadata.functions import functions
from metadata.attributes import attributes
from metadata.enums import enums
import metadata.functions_addon
import metadata.attributes_addon
import metadata.enums_addon
import metadata.config_addon
import build.helper as helper
import sys
# U... | src/nifgen/metadata/__init__.py | from metadata.config import config
from metadata.functions import functions
from metadata.attributes import attributes
from metadata.enums import enums
import metadata.functions_addon
import metadata.attributes_addon
import metadata.enums_addon
import metadata.config_addon
import build.helper as helper
import sys
# U... | 0.321567 | 0.084041 |
import logging
import asyncio as aio
import socket
from struct import pack
from functools import partial
log = logging.getLogger(__name__)
# UPNP_PORT = 1982
UPNP_PORT = 54321
UPNP_ADDR = "192.168.3.11"
_DISCOVERYTIMEOUT = 360
try:
from aiozeroconf import ServiceBrowser, Zeroconf
async def do_close(zc):
... | aioyeelight/discover.py | import logging
import asyncio as aio
import socket
from struct import pack
from functools import partial
log = logging.getLogger(__name__)
# UPNP_PORT = 1982
UPNP_PORT = 54321
UPNP_ADDR = "192.168.3.11"
_DISCOVERYTIMEOUT = 360
try:
from aiozeroconf import ServiceBrowser, Zeroconf
async def do_close(zc):
... | 0.357568 | 0.073165 |
import cv2
import threading
import time
import logging
import zmq
import base64
import numpy as np
logger = logging.getLogger(__name__)
thread = None
class Camera:
def __init__(self,fps=1024,video_source=0):
logger.info(f"Initializing camera class with {fps} fps and video_source={video_source}")
self.fps = fps... | camera.py | import cv2
import threading
import time
import logging
import zmq
import base64
import numpy as np
logger = logging.getLogger(__name__)
thread = None
class Camera:
def __init__(self,fps=1024,video_source=0):
logger.info(f"Initializing camera class with {fps} fps and video_source={video_source}")
self.fps = fps... | 0.156105 | 0.067087 |
import os
import tensorflow as tf
import pandas as pd
import time
import random
import numpy as np
import sys
import argparse
import json
def get_batch_train(BATCH_SIZE, y_train, x_train, ystatus_train):
while True:
j=0
while (j+1)*BATCH_SIZE <= len(x_train):
x_batch=x_trai... | combined_learning.py | import os
import tensorflow as tf
import pandas as pd
import time
import random
import numpy as np
import sys
import argparse
import json
def get_batch_train(BATCH_SIZE, y_train, x_train, ystatus_train):
while True:
j=0
while (j+1)*BATCH_SIZE <= len(x_train):
x_batch=x_trai... | 0.336985 | 0.180974 |
submenu = 'Policrack|'
version = '1.0'
dbVersion = '1'
authors = '<NAME>,\nProf. <NAME>'
helpUrl = 'www.fracturica.com/policrack'
browser = """\
Policrack* Database Browser allows to review
results extracted from model databases, created with the Policrack suite.
Specifically, the browser allows to:
- see the avail... | info.py | submenu = 'Policrack|'
version = '1.0'
dbVersion = '1'
authors = '<NAME>,\nProf. <NAME>'
helpUrl = 'www.fracturica.com/policrack'
browser = """\
Policrack* Database Browser allows to review
results extracted from model databases, created with the Policrack suite.
Specifically, the browser allows to:
- see the avail... | 0.664758 | 0.436202 |
input_amount = float(input())
input_type = input()
result_type = input()
m = float(1)
mm = 1 / 1000
cm = 1 / 100
mi = 1 / 0.000621371192
inch = 1 / 39.3700787
km = 1 / 0.001
ft = 1 / 3.2808399
yd = 1 / 1.0936133
result = 0
if result_type == 'm':
if input_type == 'm':
result = input_amount / m * m
eli... | Python/Programming Basics/Simple Conditional Statements/08. Metric Converter.py | input_amount = float(input())
input_type = input()
result_type = input()
m = float(1)
mm = 1 / 1000
cm = 1 / 100
mi = 1 / 0.000621371192
inch = 1 / 39.3700787
km = 1 / 0.001
ft = 1 / 3.2808399
yd = 1 / 1.0936133
result = 0
if result_type == 'm':
if input_type == 'm':
result = input_amount / m * m
eli... | 0.273186 | 0.438364 |
from fastapi import FastAPI, File, UploadFile
from fastapi.responses import StreamingResponse, FileResponse
from fastapi.staticfiles import StaticFiles
import re
from tempfile import NamedTemporaryFile
from openpyxl import load_workbook
from openpyxl.styles import PatternFill
from io import BytesIO
stream = None
app ... | main.py | from fastapi import FastAPI, File, UploadFile
from fastapi.responses import StreamingResponse, FileResponse
from fastapi.staticfiles import StaticFiles
import re
from tempfile import NamedTemporaryFile
from openpyxl import load_workbook
from openpyxl.styles import PatternFill
from io import BytesIO
stream = None
app ... | 0.4436 | 0.184217 |
from mythril.analysis.module.base import DetectionModule, EntryPoint
from mythril.support.support_utils import Singleton
from mythril.analysis.module.modules.arbitrary_jump import ArbitraryJump
from mythril.analysis.module.modules.arbitrary_write import ArbitraryStorage
from mythril.analysis.module.modules.delegatecal... | mythril/analysis/module/loader.py | from mythril.analysis.module.base import DetectionModule, EntryPoint
from mythril.support.support_utils import Singleton
from mythril.analysis.module.modules.arbitrary_jump import ArbitraryJump
from mythril.analysis.module.modules.arbitrary_write import ArbitraryStorage
from mythril.analysis.module.modules.delegatecal... | 0.812347 | 0.221709 |
from __future__ import absolute_import
import unittest
from lark import Lark
from lark.lexer import Token
from lark.tree import Tree
from lark.visitors import Visitor, Transformer, Discard
from lark.parsers.earley_forest import TreeForestTransformer, handles_ambiguity
class TestTreeForestTransformer(unittest.TestCas... | tests/test_tree_forest_transformer.py | from __future__ import absolute_import
import unittest
from lark import Lark
from lark.lexer import Token
from lark.tree import Tree
from lark.visitors import Visitor, Transformer, Discard
from lark.parsers.earley_forest import TreeForestTransformer, handles_ambiguity
class TestTreeForestTransformer(unittest.TestCas... | 0.746971 | 0.560974 |
import torch
import torch.nn.modules.loss as loss
from torch.optim import Adam
from rllib.algorithms.sarsa import SARSA
from rllib.policy import EpsGreedy
from rllib.util.parameter_decay import ExponentialDecay
from rllib.value_function import NNQFunction
from .on_policy_agent import OnPolicyAgent
class SARSAAgent... | rllib/agent/on_policy/sarsa_agent.py |
import torch
import torch.nn.modules.loss as loss
from torch.optim import Adam
from rllib.algorithms.sarsa import SARSA
from rllib.policy import EpsGreedy
from rllib.util.parameter_decay import ExponentialDecay
from rllib.value_function import NNQFunction
from .on_policy_agent import OnPolicyAgent
class SARSAAgent... | 0.96796 | 0.435902 |
from __future__ import unicode_literals
import datetime
import os
import unittest
from django import get_version
from django.db import models
from django.template import Template, Context
from django.test import SimpleTestCase
from django.test.utils import override_settings
from six.moves import range
try:
from... | djangobricks/tests.py | from __future__ import unicode_literals
import datetime
import os
import unittest
from django import get_version
from django.db import models
from django.template import Template, Context
from django.test import SimpleTestCase
from django.test.utils import override_settings
from six.moves import range
try:
from... | 0.5769 | 0.237344 |
# Copyright (c) 2021, <NAME>
# All rights reserved.
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# * Redistributions of source code must retain the above copyright notice, this
# list of conditions and the followi... | mustang/schema/schema.py | # Copyright (c) 2021, <NAME>
# All rights reserved.
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# * Redistributions of source code must retain the above copyright notice, this
# list of conditions and the followi... | 0.75101 | 0.059839 |
# My contribution: I have re-programmed the code to use only Keras
import itertools
import numpy as np
import sys
import keras
import keras.backend as K
from keras.models import Model
from keras.layers import Dense, Input
import collections
if "../" not in sys.path:
sys.path.append("../")
from libs.envs.cliff_w... | examples/Sutton_RL_Intro/ch13_Policy_Gradient/REINFORCE_keras.py |
# My contribution: I have re-programmed the code to use only Keras
import itertools
import numpy as np
import sys
import keras
import keras.backend as K
from keras.models import Model
from keras.layers import Dense, Input
import collections
if "../" not in sys.path:
sys.path.append("../")
from libs.envs.cliff_w... | 0.751192 | 0.407628 |
from app import db
from models import funcs
from sqlalchemy import sql
class Folder(db.Model):
"""
Folder Model. Used to group various Ciphers together.
Attributes:
id (int): Folder ID
name (str): Name of folder
user_id (Foreign Key): User who owns this folder
folder_id (F... | models/folder.py | from app import db
from models import funcs
from sqlalchemy import sql
class Folder(db.Model):
"""
Folder Model. Used to group various Ciphers together.
Attributes:
id (int): Folder ID
name (str): Name of folder
user_id (Foreign Key): User who owns this folder
folder_id (F... | 0.730482 | 0.096748 |
import boto3
from django.test import TestCase
from moto import mock_s3
from price.logs.s3_helpers import s3_create_bucket
from ..s3events import save_file, get_s3_key, s3_get_file_text, \
parse_by_logic_connector, filter_by_logic_connector
BUCKET_NAME = 'bucket-unit-test'
class S3LogTestCase(TestCase):
def... | DecisionEngine/drdecisions/datarobotapiwrapper/logs/tests/test_s3events.py | import boto3
from django.test import TestCase
from moto import mock_s3
from price.logs.s3_helpers import s3_create_bucket
from ..s3events import save_file, get_s3_key, s3_get_file_text, \
parse_by_logic_connector, filter_by_logic_connector
BUCKET_NAME = 'bucket-unit-test'
class S3LogTestCase(TestCase):
def... | 0.337204 | 0.346458 |
from flask_wtf import FlaskForm, RecaptchaField
from wtforms import StringField, SelectField, HiddenField
from wtforms.validators import DataRequired, Email, Regexp, Optional
from wtforms.fields.html5 import EmailField, TelField
from flask_babel import lazy_gettext
from dateutil.relativedelta import relativedelta
impor... | app/main/forms/step_0.py | from flask_wtf import FlaskForm, RecaptchaField
from wtforms import StringField, SelectField, HiddenField
from wtforms.validators import DataRequired, Email, Regexp, Optional
from wtforms.fields.html5 import EmailField, TelField
from flask_babel import lazy_gettext
from dateutil.relativedelta import relativedelta
impor... | 0.538983 | 0.146331 |
import numpy as np
from typing import Dict, List, Optional, Union
from autoconf import cached_property
from autoarray.numba_util import profile_func
from autoarray.inversion.linear_eqn.abstract import AbstractLinearEqn
from autoarray.structures.arrays.two_d.array_2d import Array2D
from autoarray.inversion.map... | autoarray/inversion/linear_eqn/interferometer.py | import numpy as np
from typing import Dict, List, Optional, Union
from autoconf import cached_property
from autoarray.numba_util import profile_func
from autoarray.inversion.linear_eqn.abstract import AbstractLinearEqn
from autoarray.structures.arrays.two_d.array_2d import Array2D
from autoarray.inversion.map... | 0.946163 | 0.578805 |
from tkinter import *
from tkinter.messagebox import *
from tkinter.filedialog import *
from ast import *
from shutil import copy2
from os import path
import json
def build_matrix(width, height):
row = []
matrix = []
for i in range(0, width):
row.append(0)
for i in range(0, height):
mat... | Tilemap Maker/Tilemap Builder.py | from tkinter import *
from tkinter.messagebox import *
from tkinter.filedialog import *
from ast import *
from shutil import copy2
from os import path
import json
def build_matrix(width, height):
row = []
matrix = []
for i in range(0, width):
row.append(0)
for i in range(0, height):
mat... | 0.322313 | 0.191063 |
from typing import List
'''
思路，深度优先搜索。
与79题单词查找类似，将矩阵转为图进行搜索。
1、将矩阵转为邻接表形式的图，时间复杂度O(m*n)。为了后续查找速度，可以将每个字母映射到的单元格list保存到哈希表heads中。
2、对于每个单词的，从heads中获取起点list，以其为起点进行路径搜索，如果存在与word相同的路径，则成功加入结果list中。
时间复杂度：O(m*n*l*3^c)，其中m*n为矩阵大小，l为字符串列表长度，c为单词长度。最坏情况下为该复杂度，实际情况远远小于。
'''
class Solution:
def findWords(self, board: Li... | hard/212-word-search-ii.py | from typing import List
'''
思路，深度优先搜索。
与79题单词查找类似，将矩阵转为图进行搜索。
1、将矩阵转为邻接表形式的图，时间复杂度O(m*n)。为了后续查找速度，可以将每个字母映射到的单元格list保存到哈希表heads中。
2、对于每个单词的，从heads中获取起点list，以其为起点进行路径搜索，如果存在与word相同的路径，则成功加入结果list中。
时间复杂度：O(m*n*l*3^c)，其中m*n为矩阵大小，l为字符串列表长度，c为单词长度。最坏情况下为该复杂度，实际情况远远小于。
'''
class Solution:
def findWords(self, board: Li... | 0.400398 | 0.571468 |
import random
import string
import subprocess
import os
import tempfile
import re
import sys
from datetime import timedelta
from subprocess import DEVNULL, STDOUT, PIPE
class Transcode:
"""
Transcode is a wrapper around the ffmpeg binary used to transcode
audio from media files.
"""
def __init__(... | subsync/ffmpeg.py | import random
import string
import subprocess
import os
import tempfile
import re
import sys
from datetime import timedelta
from subprocess import DEVNULL, STDOUT, PIPE
class Transcode:
"""
Transcode is a wrapper around the ffmpeg binary used to transcode
audio from media files.
"""
def __init__(... | 0.276495 | 0.108095 |
import json
import os
import time
from app import (
ENABLE_NGRAM,
MODEL_YAML,
WORK_DIR,
app,
data_preprocessor,
greedy_decoder,
jasper_decoder,
jasper_encoder,
neural_factory,
)
from flask import request
from werkzeug.utils import secure_filename
import nemo
import nemo.collections... | examples/applications/asr_service/app/routes.py | import json
import os
import time
from app import (
ENABLE_NGRAM,
MODEL_YAML,
WORK_DIR,
app,
data_preprocessor,
greedy_decoder,
jasper_decoder,
jasper_encoder,
neural_factory,
)
from flask import request
from werkzeug.utils import secure_filename
import nemo
import nemo.collections... | 0.473901 | 0.217358 |
import csv
import os
import random
import pandas as pd
singulars_list = (
"banana",
"bird",
"bottle",
"building",
"car",
"cat",
"child",
"cloud",
"color",
"computer",
"cow",
"dog",
"dollar",
"donkey",
"dream",
"eagle",
"elephant",
"eye",
"fin... | datasets/scripts/plural_syntax_analogies.py | import csv
import os
import random
import pandas as pd
singulars_list = (
"banana",
"bird",
"bottle",
"building",
"car",
"cat",
"child",
"cloud",
"color",
"computer",
"cow",
"dog",
"dollar",
"donkey",
"dream",
"eagle",
"elephant",
"eye",
"fin... | 0.204183 | 0.406391 |
import sys
from functools import reduce
def char_to_bin(c):
return "{0:04b}".format(int(c, 16))
def hex_to_bits(hex_string):
return ''.join(char_to_bin(c) for c in hex_string)
def decode(hex_string):
versions = []
packet = hex_to_bits(hex_string)
def process_packet(i):
def read(n):
... | q16/q16.py | import sys
from functools import reduce
def char_to_bin(c):
return "{0:04b}".format(int(c, 16))
def hex_to_bits(hex_string):
return ''.join(char_to_bin(c) for c in hex_string)
def decode(hex_string):
versions = []
packet = hex_to_bits(hex_string)
def process_packet(i):
def read(n):
... | 0.232571 | 0.287161 |
import os
import evaluator
import unittest
import tempfile
import typing
class TestAccuracy(unittest.TestCase):
def test_EverythingCorrect(self):
qa = {"Q1": "A", "Q2": "A", "Q3": "A"}
p = {"Q1": ["A"], "Q2": ["A"], "Q3": ["A"]}
self.assertEqual(3.0 / 3.0, evaluator.calculate_accuracy(qa... | qasc/evaluator/test_evaluator.py | import os
import evaluator
import unittest
import tempfile
import typing
class TestAccuracy(unittest.TestCase):
def test_EverythingCorrect(self):
qa = {"Q1": "A", "Q2": "A", "Q3": "A"}
p = {"Q1": ["A"], "Q2": ["A"], "Q3": ["A"]}
self.assertEqual(3.0 / 3.0, evaluator.calculate_accuracy(qa... | 0.547706 | 0.70043 |
import os
import tempfile
class AdbExt(object):
def __init__(self, util):
self.__util = util
self.temp_name = 'temp' # 如果是多个进程，可以修改这个变量，保证多个手机在pc上的文件不会冲突
self.temp_pc_dir_path = tempfile.gettempdir()
self.temp_device_dir_path = '/data/local/tmp'
def get_pc_temp_name(self):
... | adbui/adb_ext.py | import os
import tempfile
class AdbExt(object):
def __init__(self, util):
self.__util = util
self.temp_name = 'temp' # 如果是多个进程，可以修改这个变量，保证多个手机在pc上的文件不会冲突
self.temp_pc_dir_path = tempfile.gettempdir()
self.temp_device_dir_path = '/data/local/tmp'
def get_pc_temp_name(self):
... | 0.228329 | 0.113973 |
import mock
import ckan.tests.factories as factories
import ckan.model as model
import ckan.plugins.toolkit as tk
import ckanext.hdx_theme.tests.hdx_test_base as hdx_test_base
from ckanext.hdx_org_group.helpers.static_lists import ORGANIZATION_TYPE_LIST
config = tk.config
NotAuthorized = tk.NotAuthorized
class Te... | ckanext-hdx_package/ckanext/hdx_package/tests/test_dataset_special_fields/test_qa_completed.py | import mock
import ckan.tests.factories as factories
import ckan.model as model
import ckan.plugins.toolkit as tk
import ckanext.hdx_theme.tests.hdx_test_base as hdx_test_base
from ckanext.hdx_org_group.helpers.static_lists import ORGANIZATION_TYPE_LIST
config = tk.config
NotAuthorized = tk.NotAuthorized
class Te... | 0.366703 | 0.169543 |
from unittest.mock import Mock, patch
from xknx.io.request_response import Authenticate
from xknx.knxip import (
HPAI,
KNXIPFrame,
KNXIPServiceType,
SessionAuthenticate,
SessionStatus,
)
from xknx.knxip.knxip_enum import SecureSessionStatusCode
class TestAuthenticate:
"""Test class for xknx/i... | test/io_tests/request_response_tests/authenticate_test.py | from unittest.mock import Mock, patch
from xknx.io.request_response import Authenticate
from xknx.knxip import (
HPAI,
KNXIPFrame,
KNXIPServiceType,
SessionAuthenticate,
SessionStatus,
)
from xknx.knxip.knxip_enum import SecureSessionStatusCode
class TestAuthenticate:
"""Test class for xknx/i... | 0.81372 | 0.33089 |
import pytest
from django.urls import reverse
from core.models import UL_ORG_ADMIN, UL_CONS_ADMIN, UL_CONS_STAFF, Identity
from organizations.models import UserOrganization
from sushi.models import SushiCredentials
from organizations.tests.conftest import organizations
from publications.tests.conftest import platforms... | apps/sushi/tests/test_views.py | import pytest
from django.urls import reverse
from core.models import UL_ORG_ADMIN, UL_CONS_ADMIN, UL_CONS_STAFF, Identity
from organizations.models import UserOrganization
from sushi.models import SushiCredentials
from organizations.tests.conftest import organizations
from publications.tests.conftest import platforms... | 0.490236 | 0.187951 |
"""Tests for distributions KL mechanism."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
class KLTest(tf.test.TestCase):
def testRegistration(self):
class MyDist(tf.contrib.distributions.Normal):
pass
# Registe... | tensorflow/contrib/distributions/python/kernel_tests/kullback_leibler_test.py | """Tests for distributions KL mechanism."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
class KLTest(tf.test.TestCase):
def testRegistration(self):
class MyDist(tf.contrib.distributions.Normal):
pass
# Registe... | 0.922325 | 0.369429 |
from django.db import models
from django.contrib.auth.models import User
from django.utils import timezone
from datetime import datetime
# Create your models here.
class Recipe(models.Model):
recipe_name = models.CharField(max_length=200)
recipe_rating = models.FloatField(default=0)
recipe_link = models.... | Recipes/rcps/models.py | from django.db import models
from django.contrib.auth.models import User
from django.utils import timezone
from datetime import datetime
# Create your models here.
class Recipe(models.Model):
recipe_name = models.CharField(max_length=200)
recipe_rating = models.FloatField(default=0)
recipe_link = models.... | 0.52683 | 0.210442 |
from __future__ import division # avoid python 2.x - 3.x compatibility issues
from numpy import arctan, degrees
def get_azimuth(x_start, y_start, x_end, y_end, height_start, height_end, r=0):
"""Get the azimuth of a line considering the side towards it is leaning
using the coordinates of the edge points and... | get_lineazi.py |
from __future__ import division # avoid python 2.x - 3.x compatibility issues
from numpy import arctan, degrees
def get_azimuth(x_start, y_start, x_end, y_end, height_start, height_end, r=0):
"""Get the azimuth of a line considering the side towards it is leaning
using the coordinates of the edge points and... | 0.813201 | 0.587056 |
import contextlib
from typing import Any, Callable, Dict, Iterator, List, Tuple
import torch
from torch import Tensor
__all__ = ["functional_call"]
# We avoid typing module here because module attributes are declared as Union[Parameter, Tensor] by default
# and using other types causes mypy errors
def _change_class(... | torch/nn/utils/stateless.py | import contextlib
from typing import Any, Callable, Dict, Iterator, List, Tuple
import torch
from torch import Tensor
__all__ = ["functional_call"]
# We avoid typing module here because module attributes are declared as Union[Parameter, Tensor] by default
# and using other types causes mypy errors
def _change_class(... | 0.786213 | 0.252393 |
"""ZCML directives for defining browser pages
"""
from zope.component.zcml import IBasicViewInformation
from zope.configuration.fields import GlobalInterface
from zope.configuration.fields import GlobalObject
from zope.configuration.fields import MessageID
from zope.configuration.fields import Path
from zope.configurat... | src/zope/browserpage/metadirectives.py | """ZCML directives for defining browser pages
"""
from zope.component.zcml import IBasicViewInformation
from zope.configuration.fields import GlobalInterface
from zope.configuration.fields import GlobalObject
from zope.configuration.fields import MessageID
from zope.configuration.fields import Path
from zope.configurat... | 0.683947 | 0.377024 |
import shutil
from oci.config import from_file
from oci.retry import DEFAULT_RETRY_STRATEGY
from oci.exceptions import ServiceError
from oci.object_storage import ObjectStorageClient, UploadManager
from oci.util import to_dict
from oci.object_storage.models import RestoreObjectsDetails
from oci.pagination import list... | backup_tool/oci_client.py | import shutil
from oci.config import from_file
from oci.retry import DEFAULT_RETRY_STRATEGY
from oci.exceptions import ServiceError
from oci.object_storage import ObjectStorageClient, UploadManager
from oci.util import to_dict
from oci.object_storage.models import RestoreObjectsDetails
from oci.pagination import list... | 0.371137 | 0.058966 |
import pandas as pd
import utils.hops_sampler as hops_sampler
import numpy as np
from sklearn.preprocessing import LabelEncoder
from torch_geometric.data import Data
from .hops_sampler import hops_sampler
import torch
class regression_hops_sampler(hops_sampler):
"""
This class in designed for the regression pu... | GenomicData/utils/regression_hops_sampler.py | import pandas as pd
import utils.hops_sampler as hops_sampler
import numpy as np
from sklearn.preprocessing import LabelEncoder
from torch_geometric.data import Data
from .hops_sampler import hops_sampler
import torch
class regression_hops_sampler(hops_sampler):
"""
This class in designed for the regression pu... | 0.804444 | 0.725904 |
from typing import Any, Dict, List, Type, cast
import jwt
from fastapi import Body, Depends, HTTPException
from fastapi.security import OAuth2PasswordRequestForm
from pydantic import EmailStr
from starlette import status
from starlette.requests import Request
from starlette.responses import Response
from fastapi_user... | fastapi_users/router/users.py | from typing import Any, Dict, List, Type, cast
import jwt
from fastapi import Body, Depends, HTTPException
from fastapi.security import OAuth2PasswordRequestForm
from pydantic import EmailStr
from starlette import status
from starlette.requests import Request
from starlette.responses import Response
from fastapi_user... | 0.685529 | 0.068631 |
from gimmebio.seqs import reverseComplement
import networkx as nx
import pandas as pd
def get_mismatches(rec):
"""Yield mismatches between a read and a reference based on a BAM alignment."""
qseq = rec.get_forward_sequence().upper()
if rec.is_reverse:
qseq = reverseComplement(qseq)
rseq = rec.... | cap2/extensions/experimental/strains/strainotyping/graphs.py | from gimmebio.seqs import reverseComplement
import networkx as nx
import pandas as pd
def get_mismatches(rec):
"""Yield mismatches between a read and a reference based on a BAM alignment."""
qseq = rec.get_forward_sequence().upper()
if rec.is_reverse:
qseq = reverseComplement(qseq)
rseq = rec.... | 0.777638 | 0.516778 |
import Misc.ImageUtils as iu
import os
import numpy as np
import glob
def SetupAll(Args):
"""
Inputs:
BasePath is the base path where Images are saved without "/" at the end
Outputs:
DirNames - Full path to all image files without extension
Train/Val/Test - Idxs of all the images to... | Code/Misc/DataHandling.py | import Misc.ImageUtils as iu
import os
import numpy as np
import glob
def SetupAll(Args):
"""
Inputs:
BasePath is the base path where Images are saved without "/" at the end
Outputs:
DirNames - Full path to all image files without extension
Train/Val/Test - Idxs of all the images to... | 0.36659 | 0.320183 |
import numpy as np
import matplotlib.pyplot as plt
from Net import *
import argparse
def generate_data(N, r, w, d):
theta1 = np.random.uniform(0, np.pi, size=N)
theta2 = np.random.uniform(-np.pi, 0, size=N)
w1 = np.random.uniform(-w/2, w/2, size=N)
w2 = np.random.uniform(-w/2, w/2, size=N)
one = np... | NNet/HW4/double_moon.py | import numpy as np
import matplotlib.pyplot as plt
from Net import *
import argparse
def generate_data(N, r, w, d):
theta1 = np.random.uniform(0, np.pi, size=N)
theta2 = np.random.uniform(-np.pi, 0, size=N)
w1 = np.random.uniform(-w/2, w/2, size=N)
w2 = np.random.uniform(-w/2, w/2, size=N)
one = np... | 0.393851 | 0.552057 |
from __future__ import print_function, absolute_import, division
import os
import sys
from contextlib import contextmanager
from string import Template
from invoke.exceptions import UnexpectedExit
from .config import venv, WORKSPACE
def get_env(envdict, name, default=''):
return envdict.get(name) or default
... | tasks/helpers.py | from __future__ import print_function, absolute_import, division
import os
import sys
from contextlib import contextmanager
from string import Template
from invoke.exceptions import UnexpectedExit
from .config import venv, WORKSPACE
def get_env(envdict, name, default=''):
return envdict.get(name) or default
... | 0.342901 | 0.087097 |
import datetime
from flask import current_app
from app.libs.datetime_helper import strptime_to_str
# menu
class MenuViewModel:
def __init__(self,menu):
from app.block.permission.model import Menu
self.id = menu['id']
self.name=menu['name']
current_rules=[]
for rule in menu... | app/block/permission/view_model.py | import datetime
from flask import current_app
from app.libs.datetime_helper import strptime_to_str
# menu
class MenuViewModel:
def __init__(self,menu):
from app.block.permission.model import Menu
self.id = menu['id']
self.name=menu['name']
current_rules=[]
for rule in menu... | 0.077396 | 0.041598 |
# imports
import requests
from bs4 import BeautifulSoup
import pandas as pd
import numpy as np
from datetime import datetime
# get week NFL results
# target URL pro-football-reference
url = "https://www.pro-football-reference.com/boxscores/"
data = pd.read_html(url)
scores = pd.DataFrame(np.concatenate(data))
# rem... | nflscoresscraping.py | # imports
import requests
from bs4 import BeautifulSoup
import pandas as pd
import numpy as np
from datetime import datetime
# get week NFL results
# target URL pro-football-reference
url = "https://www.pro-football-reference.com/boxscores/"
data = pd.read_html(url)
scores = pd.DataFrame(np.concatenate(data))
# rem... | 0.328314 | 0.230119 |
import datetime
from typing import Any, Dict, List
from .sort_by_diary import ReadDiary, check_col
def check_values(col: str, lower_value: Any, higher_value: Any):
"""
Check if the values are of the proper datatype and col is proper column.
"""
col = check_col(col)
col_type_mapper = {
"d... | src/movie_list_tools/diary_csv_tools/diary_list_helpers.py | import datetime
from typing import Any, Dict, List
from .sort_by_diary import ReadDiary, check_col
def check_values(col: str, lower_value: Any, higher_value: Any):
"""
Check if the values are of the proper datatype and col is proper column.
"""
col = check_col(col)
col_type_mapper = {
"d... | 0.883286 | 0.547646 |
__version__ = '0.6.5'
import logging
import os
import sys
from pathlib import Path
from typing import Union
from .corpora import (
MainCorpus,
Paper2000Corpus,
PaperRegionalCorpus,
ParallelCorpus,
DialectalCorpus,
SpokenCorpus,
AccentologicalCorpus,
MultilingualParaCorpus,
Tutorin... | rnc/__init__.py | __version__ = '0.6.5'
import logging
import os
import sys
from pathlib import Path
from typing import Union
from .corpora import (
MainCorpus,
Paper2000Corpus,
PaperRegionalCorpus,
ParallelCorpus,
DialectalCorpus,
SpokenCorpus,
AccentologicalCorpus,
MultilingualParaCorpus,
Tutorin... | 0.477554 | 0.081264 |
import contextlib
import os
import sqlite3
import tempfile
import unittest
from wcpan.drive.core.cache import (
ReadOnly,
ReadWrite,
Cache,
CacheError,
)
from wcpan.drive.core.test import PseudoManager
from wcpan.drive.core.util import create_executor, get_utc_now
class TestTransaction(unittest.TestC... | tests/test_cache.py | import contextlib
import os
import sqlite3
import tempfile
import unittest
from wcpan.drive.core.cache import (
ReadOnly,
ReadWrite,
Cache,
CacheError,
)
from wcpan.drive.core.test import PseudoManager
from wcpan.drive.core.util import create_executor, get_utc_now
class TestTransaction(unittest.TestC... | 0.487795 | 0.305801 |
import os
from random import Random
from flask import (
Blueprint,
Response,
send_from_directory,
request,
)
from flask_api import status
from flask_pydantic import validate
from sqlalchemy.exc import IntegrityError, SQLAlchemyError
from flasgger import swag_from
from app import db, app
from app.api.... | app/api/routes/randObject.py | import os
from random import Random
from flask import (
Blueprint,
Response,
send_from_directory,
request,
)
from flask_api import status
from flask_pydantic import validate
from sqlalchemy.exc import IntegrityError, SQLAlchemyError
from flasgger import swag_from
from app import db, app
from app.api.... | 0.207054 | 0.060613 |
import requests
try:
from urllib.parse import urlencode, unquote
except ImportError:
from urllib import urlencode, unquote
import json
class Client(object):
def __init__(self, url, params={}):
"""
Initialises a new Client object
:param url: This is where the BrowserMob Proxy lives
... | browsermobproxy/client.py | import requests
try:
from urllib.parse import urlencode, unquote
except ImportError:
from urllib import urlencode, unquote
import json
class Client(object):
def __init__(self, url, params={}):
"""
Initialises a new Client object
:param url: This is where the BrowserMob Proxy lives
... | 0.524638 | 0.151655 |
from __future__ import unicode_literals
import botocore.client
import boto3
import hashlib
import io
import zipfile
import sure # noqa
from freezegun import freeze_time
from moto import mock_lambda, mock_s3
def get_test_zip_file():
zip_output = io.BytesIO()
zip_file = zipfile.ZipFile(zip_output, 'w')
z... | tests/test_awslambda/test_lambda.py | from __future__ import unicode_literals
import botocore.client
import boto3
import hashlib
import io
import zipfile
import sure # noqa
from freezegun import freeze_time
from moto import mock_lambda, mock_s3
def get_test_zip_file():
zip_output = io.BytesIO()
zip_file = zipfile.ZipFile(zip_output, 'w')
z... | 0.458834 | 0.201617 |
import subprocess
import general_use
ff_rc = subprocess.run(['sudo', 'apt-get', 'install', '-y', 'ffmpeg']).returncode
if ff_rc != 0:
print ('INSTALLATION FAILED: Failed to install ffmpeg library, trying alternative option: libav-tools')
lib_rc = subprocess.run(['sudo', 'apt-get', 'install', '-y', 'libav-tools']).re... | vm_install.py | import subprocess
import general_use
ff_rc = subprocess.run(['sudo', 'apt-get', 'install', '-y', 'ffmpeg']).returncode
if ff_rc != 0:
print ('INSTALLATION FAILED: Failed to install ffmpeg library, trying alternative option: libav-tools')
lib_rc = subprocess.run(['sudo', 'apt-get', 'install', '-y', 'libav-tools']).re... | 0.085957 | 0.049681 |
import os
import sys
import gtk
import cairo
import pango
import pangocairo
from .. drawing.dispatcher import DrawMixin
from .. gui.plagram_dlg import PgMixin
from .. drawing.datasheets import labels
from math import pi as PI
from .. utils import parsestrtime
from .. boss import boss
curr = boss.get_state()
opts = boss... | astronex/surfaces/pdfsurface.py | import os
import sys
import gtk
import cairo
import pango
import pangocairo
from .. drawing.dispatcher import DrawMixin
from .. gui.plagram_dlg import PgMixin
from .. drawing.datasheets import labels
from math import pi as PI
from .. utils import parsestrtime
from .. boss import boss
curr = boss.get_state()
opts = boss... | 0.182207 | 0.094761 |
from rclpy.executors import SingleThreadedExecutor
from rclpy.node import Node
from rclpy.parameter import Parameter
from rclpy.qos import QoSProfile, QoSDurabilityPolicy, QoSReliabilityPolicy, QoSHistoryPolicy
from sensor_msgs.msg import PointCloud2, Image
from threading import Thread, Lock
from typing import Union
im... | drl_grasping/perception/camera_subscriber.py | from rclpy.executors import SingleThreadedExecutor
from rclpy.node import Node
from rclpy.parameter import Parameter
from rclpy.qos import QoSProfile, QoSDurabilityPolicy, QoSReliabilityPolicy, QoSHistoryPolicy
from sensor_msgs.msg import PointCloud2, Image
from threading import Thread, Lock
from typing import Union
im... | 0.658637 | 0.223981 |
import matplotlib.pyplot as plt
from matplotlib.cm import get_cmap
import numpy as np
from gspx.utils.quaternion_matrix import explode_quaternions
import networkx as nx
from gspx.utils.graph import to_networkx
def visualize_quat_mtx(M, dpi=None):
"""Plot heatmap of quaternion matrix component-wise.
Paramete... | gspx/utils/display.py | import matplotlib.pyplot as plt
from matplotlib.cm import get_cmap
import numpy as np
from gspx.utils.quaternion_matrix import explode_quaternions
import networkx as nx
from gspx.utils.graph import to_networkx
def visualize_quat_mtx(M, dpi=None):
"""Plot heatmap of quaternion matrix component-wise.
Paramete... | 0.799129 | 0.68416 |
import matplotlib
matplotlib.use('TkAgg')
import numpy as np
import os
import sys
if sys.version_info[0] < 3:
from Tkinter import *
import tkMessageBox as tkMB
else:
from tkinter import *
from tkinter import messagebox as tkMB
import pickle
from astropy.io import fits
from astropy.wcs import WCS
from as... | brt.py | import matplotlib
matplotlib.use('TkAgg')
import numpy as np
import os
import sys
if sys.version_info[0] < 3:
from Tkinter import *
import tkMessageBox as tkMB
else:
from tkinter import *
from tkinter import messagebox as tkMB
import pickle
from astropy.io import fits
from astropy.wcs import WCS
from as... | 0.354433 | 0.182863 |
import numpy as np
from base import RidgeRegularization
def softmax(scores):
scores -= np.max(scores)
return (np.exp(scores).T / np.sum(np.exp(scores), axis=1)).T
_default_reg = RidgeRegularization()
class SoftmaxClassifier(object):
def __init__(self, regularization=_default_reg):
self.re... | softmax.py | import numpy as np
from base import RidgeRegularization
def softmax(scores):
scores -= np.max(scores)
return (np.exp(scores).T / np.sum(np.exp(scores), axis=1)).T
_default_reg = RidgeRegularization()
class SoftmaxClassifier(object):
def __init__(self, regularization=_default_reg):
self.re... | 0.720663 | 0.395601 |
from typing import Any, Callable, Dict, Iterable, List, Optional, TypeVar, Union
from warnings import warn
import copy
import os
__all__ = [
"Step",
"Configuration",
"set_project_root",
"get_project_root"
]
class Step:
"""
An instance of this class defines a single launch of an external comm... | universum/configuration_support.py | from typing import Any, Callable, Dict, Iterable, List, Optional, TypeVar, Union
from warnings import warn
import copy
import os
__all__ = [
"Step",
"Configuration",
"set_project_root",
"get_project_root"
]
class Step:
"""
An instance of this class defines a single launch of an external comm... | 0.932974 | 0.578508 |
import os
import shutil
from distutils.dir_util import copy_tree
import build_util
BUILD_PATH = os.getcwd()
WORKSPACE_PATH = f"{os.getcwd()}/../autolens_workspace"
SCRIPTS_ROOT_PATH = f"{WORKSPACE_PATH}/scripts"
SCRIPTS_NO_RUN = [
"mask.py",
"positions.py",
"lens_light_centre.py",
"scaled_dataset.py",
... | autolens/run_python.py | import os
import shutil
from distutils.dir_util import copy_tree
import build_util
BUILD_PATH = os.getcwd()
WORKSPACE_PATH = f"{os.getcwd()}/../autolens_workspace"
SCRIPTS_ROOT_PATH = f"{WORKSPACE_PATH}/scripts"
SCRIPTS_NO_RUN = [
"mask.py",
"positions.py",
"lens_light_centre.py",
"scaled_dataset.py",
... | 0.211987 | 0.278318 |