code stringlengths 2k 1.04M | repo_path stringlengths 5 517 | parsed_code stringlengths 0 1.04M | quality_prob float64 0.02 0.95 | learning_prob float64 0.02 0.93 |
|---|---|---|---|---|
from django.conf import settings
from decimal import Decimal
from django.db import models
from django.db.models.signals import pre_save, post_save, m2m_changed
import math
from products.models import Product
User = settings.AUTH_USER_MODEL
class CartManager(models.Manager):
def new_or_get(self, request):
... | carts/models.py | from django.conf import settings
from decimal import Decimal
from django.db import models
from django.db.models.signals import pre_save, post_save, m2m_changed
import math
from products.models import Product
User = settings.AUTH_USER_MODEL
class CartManager(models.Manager):
def new_or_get(self, request):
... | 0.318591 | 0.078501 |
import array
import copy
import pickle
import numpy as np
import pytest
from mspasspy.ccore.seismic import (_CoreSeismogram,
_CoreTimeSeries,
Seismogram,
SeismogramEnsemble,
... | python/tests/test_ccore.py | import array
import copy
import pickle
import numpy as np
import pytest
from mspasspy.ccore.seismic import (_CoreSeismogram,
_CoreTimeSeries,
Seismogram,
SeismogramEnsemble,
... | 0.802903 | 0.531453 |
import os
import unittest
import tests.utils
class GenerateInputTest(unittest.TestCase):
def snippet_call_generate_input(self, args, input_files, expected_values, disallowed_files=None):
with tests.utils.sandbox(input_files) as _:
tests.utils.run(['generate-input'] + args, check=True)
... | tests/command_generate_input.py | import os
import unittest
import tests.utils
class GenerateInputTest(unittest.TestCase):
def snippet_call_generate_input(self, args, input_files, expected_values, disallowed_files=None):
with tests.utils.sandbox(input_files) as _:
tests.utils.run(['generate-input'] + args, check=True)
... | 0.356335 | 0.514827 |
from __future__ import print_function
import unittest, os, shutil, errno, sys, difflib, cgi, re
from roundup.admin import AdminTool
from . import db_test_base
from .test_mysql import skip_mysql
from .test_postgresql import skip_postgresql
class AdminTest(object):
backend = None
def setUp(self):
s... | test/test_admin.py |
from __future__ import print_function
import unittest, os, shutil, errno, sys, difflib, cgi, re
from roundup.admin import AdminTool
from . import db_test_base
from .test_mysql import skip_mysql
from .test_postgresql import skip_postgresql
class AdminTest(object):
backend = None
def setUp(self):
s... | 0.304352 | 0.159479 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from codecs import open
from os import path
import sys
import re
import csv
import os
# OptionParser imports
from optparse import OptionParser
from optparse import OptionGroup
# Options definition
parser = ... | parse_ipsec_p1.py |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from codecs import open
from os import path
import sys
import re
import csv
import os
# OptionParser imports
from optparse import OptionParser
from optparse import OptionGroup
# Options definition
parser = ... | 0.302082 | 0.070848 |
import os
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/2.2/howto/deployment/checklist/
# SECURITY WARNING: keep the... | Test/two/payments/payments/settings.py | import os
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/2.2/howto/deployment/checklist/
# SECURITY WARNING: keep the... | 0.306216 | 0.082771 |
from ._base import BaseEmbedder
from ._sentencetransformers import SentenceTransformerBackend
languages = ['afrikaans', 'albanian', 'amharic', 'arabic', 'armenian', 'assamese',
'azerbaijani', 'basque', 'belarusian', 'bengali', 'bengali romanize',
'bosnian', 'breton', 'bulgarian', 'burmese', '... | bertopic/backend/_utils.py | from ._base import BaseEmbedder
from ._sentencetransformers import SentenceTransformerBackend
languages = ['afrikaans', 'albanian', 'amharic', 'arabic', 'armenian', 'assamese',
'azerbaijani', 'basque', 'belarusian', 'bengali', 'bengali romanize',
'bosnian', 'breton', 'bulgarian', 'burmese', '... | 0.728459 | 0.270531 |
import pandas as pd
import copy
import re
import altair as alt
def plot_event_heatmap(event_data: pd.DataFrame,
):
"""Plots local event explanations
Parameters
----------
event_data: pd.DataFrame
Event global explanations
"""
event_data = copy.deepcopy(event_d... | src/timeshap/plot/event_level.py |
import pandas as pd
import copy
import re
import altair as alt
def plot_event_heatmap(event_data: pd.DataFrame,
):
"""Plots local event explanations
Parameters
----------
event_data: pd.DataFrame
Event global explanations
"""
event_data = copy.deepcopy(event_d... | 0.762601 | 0.464173 |
import re
import validators
import unicodedata
from titlecase import titlecase
def _regularize_spaces(text: str) -> str:
""" Replaces spaces in a string with underscores. """
return text.replace(' ', '_')
def _capitalize(text: str) -> str:
if not text:
return text
return titlecase(text)
de... | src/news_kg/nlp.py | import re
import validators
import unicodedata
from titlecase import titlecase
def _regularize_spaces(text: str) -> str:
""" Replaces spaces in a string with underscores. """
return text.replace(' ', '_')
def _capitalize(text: str) -> str:
if not text:
return text
return titlecase(text)
de... | 0.680772 | 0.285372 |
from __future__ import absolute_import, division, print_function
def test_run(dials_regression, run_in_tmpdir):
from os.path import join
from dxtbx.model.experiment_list import ExperimentListFactory
from dials.array_family import flex
from dials.command_line.export import phil_scope
from dials.u... | test/util/test_nexus.py | from __future__ import absolute_import, division, print_function
def test_run(dials_regression, run_in_tmpdir):
from os.path import join
from dxtbx.model.experiment_list import ExperimentListFactory
from dials.array_family import flex
from dials.command_line.export import phil_scope
from dials.u... | 0.663996 | 0.602676 |
from bisect import bisect_right
from torch.optim.lr_scheduler import _LRScheduler, ExponentialLR, ReduceLROnPlateau
class ConstantLR(_LRScheduler):
"""Keeps the learning rate constant."""
def get_lr(self):
return [base_lr for base_lr in self.base_lrs]
class MultiScheduleLR(_LRScheduler):
"""
... | pytorch_lm/lr_schedule.py | from bisect import bisect_right
from torch.optim.lr_scheduler import _LRScheduler, ExponentialLR, ReduceLROnPlateau
class ConstantLR(_LRScheduler):
"""Keeps the learning rate constant."""
def get_lr(self):
return [base_lr for base_lr in self.base_lrs]
class MultiScheduleLR(_LRScheduler):
"""
... | 0.948728 | 0.442155 |
from cradmin_legacy.viewhelpers.listfilter.basefilters.multi import abstractcheckbox
from cradmin_legacy.viewhelpers.listfilter.django.base import DjangoOrmFilterMixin
class RelatedModelOrFilter(abstractcheckbox.AbstractCheckboxFilter, DjangoOrmFilterMixin):
"""
Filter on values from a related model (one-to-m... | cradmin_legacy/viewhelpers/listfilter/django/multi/checkbox.py | from cradmin_legacy.viewhelpers.listfilter.basefilters.multi import abstractcheckbox
from cradmin_legacy.viewhelpers.listfilter.django.base import DjangoOrmFilterMixin
class RelatedModelOrFilter(abstractcheckbox.AbstractCheckboxFilter, DjangoOrmFilterMixin):
"""
Filter on values from a related model (one-to-m... | 0.836655 | 0.341006 |
import kfp.dsl as dsl
import json
import kfp.components as comp
from collections import OrderedDict
from kubernetes import client as k8s_client
def setup(MINIO_ACCESS_KEY: str, MINIO_HOST: str, MINIO_MODEL_BUCKET: str, MINIO_SECRET_KEY: str):
pipeline_parameters_block = '''
MINIO_ACCESS_KEY = "{}"
MINIO_H... | courses/machine_learning/deepdive2/production_ml/labs/samples/contrib/e2e-outlier-drift-explainer/seldon/seldon_e2e_cifar10.kale.default.py | import kfp.dsl as dsl
import json
import kfp.components as comp
from collections import OrderedDict
from kubernetes import client as k8s_client
def setup(MINIO_ACCESS_KEY: str, MINIO_HOST: str, MINIO_MODEL_BUCKET: str, MINIO_SECRET_KEY: str):
pipeline_parameters_block = '''
MINIO_ACCESS_KEY = "{}"
MINIO_H... | 0.654122 | 0.182954 |
from __future__ import unicode_literals
import io
import os
import sys
import time
import unittest
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from testing_support import trial_dir
from third_party import mock
import gclient_utils
import subprocess2
class CheckCallAndFilterTes... | tests/gclient_utils_test.py |
from __future__ import unicode_literals
import io
import os
import sys
import time
import unittest
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from testing_support import trial_dir
from third_party import mock
import gclient_utils
import subprocess2
class CheckCallAndFilterTes... | 0.436382 | 0.164215 |
# Disabling the below pylint warnings in order to use long names convention in the tests
# and because some entities are used seamlessly instead of being directly called.
# pylint: disable=invalid-name
# pylint: disable=unused-import
"""
tests.TestIntegration
------------------
The integration test set for function... | tests/test_cli.py |
# Disabling the below pylint warnings in order to use long names convention in the tests
# and because some entities are used seamlessly instead of being directly called.
# pylint: disable=invalid-name
# pylint: disable=unused-import
"""
tests.TestIntegration
------------------
The integration test set for function... | 0.588416 | 0.535888 |
import os
import random
import torch
import torch.nn as nn
import torch.optim as optim
from torch.utils.data import DataLoader
from torchvision.datasets import CIFAR100, CIFAR10
from tqdm import tqdm
from tensorboardX import SummaryWriter
from models.vae import VAE
from config import *
from transform import Cifar
... | autoencoder/vae.py | import os
import random
import torch
import torch.nn as nn
import torch.optim as optim
from torch.utils.data import DataLoader
from torchvision.datasets import CIFAR100, CIFAR10
from tqdm import tqdm
from tensorboardX import SummaryWriter
from models.vae import VAE
from config import *
from transform import Cifar
... | 0.754644 | 0.375792 |
import os
import board
from digitalio import DigitalInOut, Direction
import time
import touchio
import adafruit_dotstar
leddot = adafruit_dotstar.DotStar(board.APA102_SCK, board.APA102_MOSI, 1)
leddot[0] = (128, 0, 128)
leddot.brightness = 0.3
# Set this to True to turn the touchpads into a keyboard
ENABLE_KEYBOARD ... | PyRuler Examples/vs-code-shortcuts.py |
import os
import board
from digitalio import DigitalInOut, Direction
import time
import touchio
import adafruit_dotstar
leddot = adafruit_dotstar.DotStar(board.APA102_SCK, board.APA102_MOSI, 1)
leddot[0] = (128, 0, 128)
leddot.brightness = 0.3
# Set this to True to turn the touchpads into a keyboard
ENABLE_KEYBOARD ... | 0.354098 | 0.153169 |
import sqlite3
import os
import pandas as pd
import numpy as np
# Create filepath to csv file
DATABASE_FILEPATH = os.path.join(os.path.dirname(__file__), "buddymove_holidayiq.csv")
# Read in csv file to dataframe
place_review_df = pd.read_csv(DATABASE_FILEPATH)
# Basic dataframe exploration
print(place_review_df.sam... | module1-introduction-to-sql/buddymove_holidayiq.py | import sqlite3
import os
import pandas as pd
import numpy as np
# Create filepath to csv file
DATABASE_FILEPATH = os.path.join(os.path.dirname(__file__), "buddymove_holidayiq.csv")
# Read in csv file to dataframe
place_review_df = pd.read_csv(DATABASE_FILEPATH)
# Basic dataframe exploration
print(place_review_df.sam... | 0.420719 | 0.392686 |
from sys import version_info as _swig_python_version_info
if _swig_python_version_info < (2, 7, 0):
raise RuntimeError('Python 2.7 or later required')
def swig_import_helper():
import importlib
pkg = __name__.rpartition('.')[0]
mname = '.'.join((pkg, '_mraa')).lstrip('.')
try:
return importl... | FLIR_pubsub/mraa.py | from sys import version_info as _swig_python_version_info
if _swig_python_version_info < (2, 7, 0):
raise RuntimeError('Python 2.7 or later required')
def swig_import_helper():
import importlib
pkg = __name__.rpartition('.')[0]
mname = '.'.join((pkg, '_mraa')).lstrip('.')
try:
return importl... | 0.23014 | 0.053825 |
import os.path
import time
from threading import Thread
from config_v3_2 import *
class FlightLog:
"""
FlightLog works to intelligently capture flight data in a CSV file
:param vehicle: Vehicle instance to log
:param logtime: Number of seconds between logging periods (defaults to .1)
:param po... | FlightLog.py | import os.path
import time
from threading import Thread
from config_v3_2 import *
class FlightLog:
"""
FlightLog works to intelligently capture flight data in a CSV file
:param vehicle: Vehicle instance to log
:param logtime: Number of seconds between logging periods (defaults to .1)
:param po... | 0.478041 | 0.270763 |
from . import processor
import pygogo as gogo
from riko.dotdict import DotDict
OPTS = {'listize': True, 'extract': 'attrs', 'ftype': 'none'}
logger = gogo.Gogo(__name__, monolog=True).logger
def parser(_, attrs, skip=False, **kwargs):
""" Parses the pipe content
Args:
_ (None): Ignored
attrs... | riko/modules/itembuilder.py | from . import processor
import pygogo as gogo
from riko.dotdict import DotDict
OPTS = {'listize': True, 'extract': 'attrs', 'ftype': 'none'}
logger = gogo.Gogo(__name__, monolog=True).logger
def parser(_, attrs, skip=False, **kwargs):
""" Parses the pipe content
Args:
_ (None): Ignored
attrs... | 0.781205 | 0.214445 |
import unittest
import datetime
from mock import MagicMock
from modules import tell
class TestTell(unittest.TestCase):
def setUp(self):
self.phenny = MagicMock()
self.phenny.nick = 'phenny'
self.phenny.config.host = 'irc.freenode.net'
self.input = MagicMock()
tell.setup(se... | modules/test/test_tell.py | import unittest
import datetime
from mock import MagicMock
from modules import tell
class TestTell(unittest.TestCase):
def setUp(self):
self.phenny = MagicMock()
self.phenny.nick = 'phenny'
self.phenny.config.host = 'irc.freenode.net'
self.input = MagicMock()
tell.setup(se... | 0.356447 | 0.31275 |
import sphinx.addnodes as sphinx_nodes
from sphinx.transforms.post_transforms import SphinxPostTransform
from sphinx.util import logging
from sphinx.builders.latex import LaTeXBuilder
from docutils import nodes as docutil_nodes
from .utils import get_node_number, find_parent
from .nodes import (
exercise_enumerabl... | sphinx_exercise/post_transforms.py | import sphinx.addnodes as sphinx_nodes
from sphinx.transforms.post_transforms import SphinxPostTransform
from sphinx.util import logging
from sphinx.builders.latex import LaTeXBuilder
from docutils import nodes as docutil_nodes
from .utils import get_node_number, find_parent
from .nodes import (
exercise_enumerabl... | 0.694717 | 0.283031 |
import pandas as pd
import glob
import os
from pathlib import Path
from yaetos.logger import setup_logging
logger = setup_logging('Pandas')
# --- loading files ----
def load_multiple_csvs(path, read_kwargs):
# TODO: to be made obsolete once load_multiple_files works
csv_files = glob.glob(os.path.join(path, "... | yaetos/pandas_utils.py | import pandas as pd
import glob
import os
from pathlib import Path
from yaetos.logger import setup_logging
logger = setup_logging('Pandas')
# --- loading files ----
def load_multiple_csvs(path, read_kwargs):
# TODO: to be made obsolete once load_multiple_files works
csv_files = glob.glob(os.path.join(path, "... | 0.200127 | 0.100216 |
import math
import numpy as np
import torch
def get_angular_distances(target: np.ndarray, pred: np.ndarray):
filter_theta = target[:, 3] == 1
filter_phi = target[:, 4] == 1
target_masked_theta = target[filter_theta]
output_masked_theta = pred[filter_theta]
theta_gt = target_masked_theta[:, 0]
... | pedrec/evaluations/eval_np/eval_angular.py | import math
import numpy as np
import torch
def get_angular_distances(target: np.ndarray, pred: np.ndarray):
filter_theta = target[:, 3] == 1
filter_phi = target[:, 4] == 1
target_masked_theta = target[filter_theta]
output_masked_theta = pred[filter_theta]
theta_gt = target_masked_theta[:, 0]
... | 0.690142 | 0.813387 |
import torch
from pprint import pprint
import config
from utils.manager import PathManager
from model import *
def buildModel(path_manager: PathManager,
task_config=None,
model_params: config.ParamsConfig = None,
loss_func=None,
data_source=None,):
if m... | builder/model_builder.py | import torch
from pprint import pprint
import config
from utils.manager import PathManager
from model import *
def buildModel(path_manager: PathManager,
task_config=None,
model_params: config.ParamsConfig = None,
loss_func=None,
data_source=None,):
if m... | 0.471223 | 0.185818 |
import contextlib
from django.conf import settings
from django.core import mail
from django.template import Context, Template, loader
from django.utils import six, translation
from django.contrib import auth
def build_mail_context_with_locale(content_dict, locale=settings.LANGUAGE_CODE):
"""Build context with g... | mail_helper/utils.py | import contextlib
from django.conf import settings
from django.core import mail
from django.template import Context, Template, loader
from django.utils import six, translation
from django.contrib import auth
def build_mail_context_with_locale(content_dict, locale=settings.LANGUAGE_CODE):
"""Build context with g... | 0.478285 | 0.113481 |
from django.contrib import admin
from django.template.defaultfilters import filesizeformat
from django.utils.formats import date_format
from django.utils.html import format_html, format_html_join, mark_safe
from django.utils.translation import gettext_lazy as _
from cabinet.base_admin import FileAdminBase
from cabinet... | cabinet/admin.py | from django.contrib import admin
from django.template.defaultfilters import filesizeformat
from django.utils.formats import date_format
from django.utils.html import format_html, format_html_join, mark_safe
from django.utils.translation import gettext_lazy as _
from cabinet.base_admin import FileAdminBase
from cabinet... | 0.339499 | 0.054955 |
from pytest import raises
from graphql.error import GraphQLError
from graphql.language import (
parse, OperationDefinitionNode, OperationTypeDefinitionNode,
SchemaDefinitionNode)
from graphql.type import (
GraphQLField, GraphQLObjectType, GraphQLSchema, GraphQLString)
from graphql.utilities import get_oper... | tests/utilities/test_get_operation_root_type.py | from pytest import raises
from graphql.error import GraphQLError
from graphql.language import (
parse, OperationDefinitionNode, OperationTypeDefinitionNode,
SchemaDefinitionNode)
from graphql.type import (
GraphQLField, GraphQLObjectType, GraphQLSchema, GraphQLString)
from graphql.utilities import get_oper... | 0.732496 | 0.511412 |
import time
import who_calls
import neo_cgi
PROFILER_DATA = []
PROFILER_START = 0
PROFILER_ENABLED = 0
PROFILER_DEPTH = 0
def enable():
global PROFILER_START
global PROFILER_ENABLED
global PROFILER_DATA
PROFILER_START = time.time()
PROFILER_ENABLED = 1
PROFILER_DATA = []
def disable():
gl... | python/examples/base/profiler.py | import time
import who_calls
import neo_cgi
PROFILER_DATA = []
PROFILER_START = 0
PROFILER_ENABLED = 0
PROFILER_DEPTH = 0
def enable():
global PROFILER_START
global PROFILER_ENABLED
global PROFILER_DATA
PROFILER_START = time.time()
PROFILER_ENABLED = 1
PROFILER_DATA = []
def disable():
gl... | 0.222362 | 0.055081 |
import copy
import pdb
import numpy as np
from scipy import signal
from sklearn.preprocessing import normalize
from wfdb.processing.basic import get_filter_gain
from wfdb.processing.peaks import find_local_peaks
from wfdb.io.record import Record
class XQRS(object):
"""
The QRS detector class for the XQRS algo... | Helpers/ecgpu_detector.py | import copy
import pdb
import numpy as np
from scipy import signal
from sklearn.preprocessing import normalize
from wfdb.processing.basic import get_filter_gain
from wfdb.processing.peaks import find_local_peaks
from wfdb.io.record import Record
class XQRS(object):
"""
The QRS detector class for the XQRS algo... | 0.849691 | 0.59887 |
# Imports
# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
# Python:
# 3rd party:
# Internal:
# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
VACCINATIONS_QUERY = """\
SELECT first.area_type,
first.area_code,
MAX(f... | db_etl_homepage_graphs/queries.py |
# Imports
# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
# Python:
# 3rd party:
# Internal:
# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
VACCINATIONS_QUERY = """\
SELECT first.area_type,
first.area_code,
MAX(f... | 0.595375 | 0.148819 |
import bot
import asyncio, logging, discord
import unittest
import collections
def testLogging():
'''() -> Logger class
set ups main log so that it outputs to ./test.log and then returns the log'''
logger = logging.getLogger('test')
logger.setLevel(logging.DEBUG)
handler = logging.FileHandler(file... | libs/testlib.py | import bot
import asyncio, logging, discord
import unittest
import collections
def testLogging():
'''() -> Logger class
set ups main log so that it outputs to ./test.log and then returns the log'''
logger = logging.getLogger('test')
logger.setLevel(logging.DEBUG)
handler = logging.FileHandler(file... | 0.253399 | 0.079603 |
import sys
from os.path import dirname, abspath
sys.path.append(dirname(dirname(abspath(__file__))))
import pytest
import art
from game import ConsoleGame, TimerGame
from logic import (Game, GameError, Options, PlayerError, Result, Round,
Selection, TimerRound)
import pytest
from time import time
... | tests/test_game_logic.py | import sys
from os.path import dirname, abspath
sys.path.append(dirname(dirname(abspath(__file__))))
import pytest
import art
from game import ConsoleGame, TimerGame
from logic import (Game, GameError, Options, PlayerError, Result, Round,
Selection, TimerRound)
import pytest
from time import time
... | 0.401453 | 0.377082 |
# <NAME>
# Center for Coastal and Ocean Mapping
# University of New Hampshire
# Copyright 2017, All rights reserved.
import math
import time
import threading
import rospy
from std_msgs.msg import Bool
from std_msgs.msg import Float64
from rosgraph_msgs.msg import Clock
from asv_srvs.srv import VehicleState
from asv_... | nodes/cw4_sim_node.py |
# <NAME>
# Center for Coastal and Ocean Mapping
# University of New Hampshire
# Copyright 2017, All rights reserved.
import math
import time
import threading
import rospy
from std_msgs.msg import Bool
from std_msgs.msg import Float64
from rosgraph_msgs.msg import Clock
from asv_srvs.srv import VehicleState
from asv_... | 0.386879 | 0.116111 |
from os import path, makedirs
# Third party imports
# Package application imports
import geoimagine.support.karttur_dt as mj_dt
from geoimagine.gis import kt_gis as ktgis
class LayerCommon:
'''
'''
def __init__(self):
pass
def _SetDOY(self):
self.datum.doyStr = mj_dt.YYYYDOYSt... | layers.py |
from os import path, makedirs
# Third party imports
# Package application imports
import geoimagine.support.karttur_dt as mj_dt
from geoimagine.gis import kt_gis as ktgis
class LayerCommon:
'''
'''
def __init__(self):
pass
def _SetDOY(self):
self.datum.doyStr = mj_dt.YYYYDOYSt... | 0.532425 | 0.182498 |
import os
from typing import Optional
EON = os.path.isfile('/EON')
class Service:
def __init__(self, port: int, should_log: bool, frequency: float, decimation: Optional[int] = None):
self.port = port
self.should_log = should_log
self.frequency = frequency
self.decimation = decimation
service_list =... | cereal/services.py | import os
from typing import Optional
EON = os.path.isfile('/EON')
class Service:
def __init__(self, port: int, should_log: bool, frequency: float, decimation: Optional[int] = None):
self.port = port
self.should_log = should_log
self.frequency = frequency
self.decimation = decimation
service_list =... | 0.639398 | 0.318121 |
import re
from django.template.loader import render_to_string
from django.conf import settings
from capybara_forms.models import SelectData
from capybara_forms.utils import django_field_to_capybara_field
def _render_filter_string(field, filter_values):
return render_to_string('capybara_forms/filter/string.html',... | capybara_forms/renderers/filter.py | import re
from django.template.loader import render_to_string
from django.conf import settings
from capybara_forms.models import SelectData
from capybara_forms.utils import django_field_to_capybara_field
def _render_filter_string(field, filter_values):
return render_to_string('capybara_forms/filter/string.html',... | 0.272993 | 0.274601 |
from argparse import ArgumentParser
from pathlib import Path
def parse_args():
parser = ArgumentParser()
data = parser.add_argument_group("data")
model = parser.add_argument_group("model")
training = parser.add_argument_group("training")
data.add_argument("--dataset", help="Path to dataset file"... | argument_parser.py | from argparse import ArgumentParser
from pathlib import Path
def parse_args():
parser = ArgumentParser()
data = parser.add_argument_group("data")
model = parser.add_argument_group("model")
training = parser.add_argument_group("training")
data.add_argument("--dataset", help="Path to dataset file"... | 0.782953 | 0.245079 |
from __future__ import annotations
"""Domain objects that define features associated with text.
"""
__author__ = '<NAME>'
from typing import List, Tuple, Set, Iterable, Dict, Type, Any
from dataclasses import dataclass, field
import dataclasses
from abc import ABCMeta, abstractmethod
import sys
import logging
from io... | src/python/zensols/nlp/container.py | from __future__ import annotations
"""Domain objects that define features associated with text.
"""
__author__ = '<NAME>'
from typing import List, Tuple, Set, Iterable, Dict, Type, Any
from dataclasses import dataclass, field
import dataclasses
from abc import ABCMeta, abstractmethod
import sys
import logging
from io... | 0.814717 | 0.326325 |
# (c) 2018, <NAME> <<EMAIL>>
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {'metadata_version': '1.1',
'status': ['preview'],
... | awx_collection/plugins/modules/tower_settings.py |
# (c) 2018, <NAME> <<EMAIL>>
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {'metadata_version': '1.1',
'status': ['preview'],
... | 0.651355 | 0.18704 |
import random
import numpy as np
from PIL import Image
from PIL.Image import BICUBIC
from ppasr.data_utils.augmentor.base import AugmentorBase
class SpecAugmentor(AugmentorBase):
"""Augmentation model for Time warping, Frequency masking, Time masking.
SpecAugment: A Simple Data Augmentation Method for Auto... | data_utils/augmentor/spec_augment.py | import random
import numpy as np
from PIL import Image
from PIL.Image import BICUBIC
from ppasr.data_utils.augmentor.base import AugmentorBase
class SpecAugmentor(AugmentorBase):
"""Augmentation model for Time warping, Frequency masking, Time masking.
SpecAugment: A Simple Data Augmentation Method for Auto... | 0.823754 | 0.458227 |
import rasterio as rio
from rasterio import Affine
import numpy as np
import click
def makehappytiff(dst_path, seams_path):
kwargs = {
'blockxsize': 256,
'blockysize': 256,
'compress': 'lzw',
'count': 4,
'crs': {'init': u'epsg:3857'},
'driver': u'GTiff',
'dt... | tests/make_testing_data.py | import rasterio as rio
from rasterio import Affine
import numpy as np
import click
def makehappytiff(dst_path, seams_path):
kwargs = {
'blockxsize': 256,
'blockysize': 256,
'compress': 'lzw',
'count': 4,
'crs': {'init': u'epsg:3857'},
'driver': u'GTiff',
'dt... | 0.386069 | 0.435661 |
import numpy as np
import pandas as pd
import fastai
from fastprogress import force_console_behavior
import fastprogress
from reco_utils.common import constants as cc
def cartesian_product(*arrays):
"""Compute the Cartesian product in fastai algo. This is a helper function.
Args:
arrays (tuple of ... | reco_utils/recommender/fastai/fastai_utils.py |
import numpy as np
import pandas as pd
import fastai
from fastprogress import force_console_behavior
import fastprogress
from reco_utils.common import constants as cc
def cartesian_product(*arrays):
"""Compute the Cartesian product in fastai algo. This is a helper function.
Args:
arrays (tuple of ... | 0.813905 | 0.409339 |
Sample Input :
1 2 3 4 5 -1
Sample Output :
5 4 3 2 1
Solution :
class Node:
def __init__(self, data):
self.data = data
self.next = None
def reverse(head):
def __init__(self):
head = None
prev = None
current =head
while(current is not None):
next = current.next
... | 6. Linked List - 2.py | Sample Input :
1 2 3 4 5 -1
Sample Output :
5 4 3 2 1
Solution :
class Node:
def __init__(self, data):
self.data = data
self.next = None
def reverse(head):
def __init__(self):
head = None
prev = None
current =head
while(current is not None):
next = current.next
... | 0.518546 | 0.532729 |
import threading
from time import sleep
import InfraBot
from InfraModule import InfraModule
import Database
db = InfraBot.db
class Updater(InfraModule):
def __init__(self):
super().__init__("update", None)
def api_entry(self, message, channel, user, team_id):
if message.startswith("in "):
... | app/Updater.py | import threading
from time import sleep
import InfraBot
from InfraModule import InfraModule
import Database
db = InfraBot.db
class Updater(InfraModule):
def __init__(self):
super().__init__("update", None)
def api_entry(self, message, channel, user, team_id):
if message.startswith("in "):
... | 0.432782 | 0.136522 |
import urwid
import mitmproxy.net.http.url
from mitmproxy import exceptions
from mitmproxy.tools.console import common
from mitmproxy.tools.console import signals
from mitmproxy.addons import view
from mitmproxy import export
def _mkhelp():
text = []
keys = [
("A", "accept all intercepted flows"),
... | mitmproxy/tools/console/flowlist.py | import urwid
import mitmproxy.net.http.url
from mitmproxy import exceptions
from mitmproxy.tools.console import common
from mitmproxy.tools.console import signals
from mitmproxy.addons import view
from mitmproxy import export
def _mkhelp():
text = []
keys = [
("A", "accept all intercepted flows"),
... | 0.36727 | 0.230292 |
from keras.layers import Input, Embedding, Bidirectional, LSTM, Dropout, Dense, BatchNormalization, GaussianNoise, concatenate
from keras.regularizers import l2
from keras import Model
def get_parallel_branch(embeddings):
dropout_rate = 0.35
x1 = LSTM(64, activation='tanh', recurrent_activation='sigmoid', r... | scripts/training/reflection/training/multi_export.py | from keras.layers import Input, Embedding, Bidirectional, LSTM, Dropout, Dense, BatchNormalization, GaussianNoise, concatenate
from keras.regularizers import l2
from keras import Model
def get_parallel_branch(embeddings):
dropout_rate = 0.35
x1 = LSTM(64, activation='tanh', recurrent_activation='sigmoid', r... | 0.835584 | 0.526465 |
import MySQLdb
import random
from time import sleep
root_pass = ''
connected = False
while not connected:
try:
db = MySQLdb.connect(host='localhost', user='root', passwd=root_pass)
connected = True
except MySQLdb.OperationalError:
# Poll
print("Sleeping...")
sleep(5)
... | web/3-sql/db_create.py |
import MySQLdb
import random
from time import sleep
root_pass = ''
connected = False
while not connected:
try:
db = MySQLdb.connect(host='localhost', user='root', passwd=root_pass)
connected = True
except MySQLdb.OperationalError:
# Poll
print("Sleeping...")
sleep(5)
... | 0.12031 | 0.089058 |
import numpy as np
import pandas as pd
from Bio import SeqIO
import math
import matplotlib.pyplot as plt
import seaborn as sns
from scipy.signal import argrelextrema
from pathlib import Path
from collections import Counter
def seq_extract(in_file):
"""Extrct the sequence from the fasta file
Args:
... | stats.py |
import numpy as np
import pandas as pd
from Bio import SeqIO
import math
import matplotlib.pyplot as plt
import seaborn as sns
from scipy.signal import argrelextrema
from pathlib import Path
from collections import Counter
def seq_extract(in_file):
"""Extrct the sequence from the fasta file
Args:
... | 0.77552 | 0.644085 |
import requests
import json
from purbeurre.models import Product, Category
class DatabaseInit:
"""This class's job is to fill the database with a given file of urls of
openfoodfacts categories of products."""
def __init__(self, file):
urls_file = open(file, "r")
self.urls = [(line.strip()... | purbeurre/database_init.py | import requests
import json
from purbeurre.models import Product, Category
class DatabaseInit:
"""This class's job is to fill the database with a given file of urls of
openfoodfacts categories of products."""
def __init__(self, file):
urls_file = open(file, "r")
self.urls = [(line.strip()... | 0.500732 | 0.111096 |
from oslo_config import cfg
from oslo_log import log as logging
from oslo_utils import versionutils
from oslo_versionedobjects import fields
from cinder import db
from cinder import exception
from cinder.i18n import _
from cinder import objects
from cinder.objects import base
CONF = cfg.CONF
# NOTE(thangp): OPTIONAL... | cinder/objects/snapshot.py |
from oslo_config import cfg
from oslo_log import log as logging
from oslo_utils import versionutils
from oslo_versionedobjects import fields
from cinder import db
from cinder import exception
from cinder.i18n import _
from cinder import objects
from cinder.objects import base
CONF = cfg.CONF
# NOTE(thangp): OPTIONAL... | 0.682574 | 0.126353 |
import os
import sys
import time
sys.path.append(os.path.abspath(os.curdir))
from utils.launcher import launch_task
from test import test
from train import train
from test_epic_localization import test_epic_localization
from submission_test import submission_test
from utils.config import Config
def _prepare_data(cf... | runs/run.py | import os
import sys
import time
sys.path.append(os.path.abspath(os.curdir))
from utils.launcher import launch_task
from test import test
from train import train
from test_epic_localization import test_epic_localization
from submission_test import submission_test
from utils.config import Config
def _prepare_data(cf... | 0.259544 | 0.238207 |
import math
import pandas as pd
from rpy2 import robjects
from rpy2.robjects import pandas2ri
def stl( # noqa:C901,WPS210,WPS211,WPS231
time_series: pd.Series,
*,
frequency: int,
ns: int,
nt: int = None,
nl: int = None,
ds: int = 0,
dt: int = 1,
dl: int = 1,
js: int = None,
... | src/urban_meal_delivery/forecasts/methods/decomposition.py | import math
import pandas as pd
from rpy2 import robjects
from rpy2.robjects import pandas2ri
def stl( # noqa:C901,WPS210,WPS211,WPS231
time_series: pd.Series,
*,
frequency: int,
ns: int,
nt: int = None,
nl: int = None,
ds: int = 0,
dt: int = 1,
dl: int = 1,
js: int = None,
... | 0.830181 | 0.573141 |
import sys
import os
import argparse
from sequana_pipetools.options import *
from sequana_pipetools.misc import Colors
from sequana_pipetools.info import sequana_epilog, sequana_prolog
from sequana_pipetools import SequanaManager
col = Colors()
NAME = "laa"
class Options(argparse.ArgumentParser):
def __init__(... | sequana_pipelines/laa/main.py | import sys
import os
import argparse
from sequana_pipetools.options import *
from sequana_pipetools.misc import Colors
from sequana_pipetools.info import sequana_epilog, sequana_prolog
from sequana_pipetools import SequanaManager
col = Colors()
NAME = "laa"
class Options(argparse.ArgumentParser):
def __init__(... | 0.245085 | 0.082143 |
import unittest
from unittest.mock import Mock
from collections import OrderedDict
from sawtooth_sdk.processor.context import Context
from sawtooth_sdk.messaging.future import Future
from sawtooth_sdk.messaging.future import FutureResult
from sawtooth_sdk.protobuf.validator_pb2 import Message
from sawtooth_sdk.prot... | sdk/python/tests/test_context.py |
import unittest
from unittest.mock import Mock
from collections import OrderedDict
from sawtooth_sdk.processor.context import Context
from sawtooth_sdk.messaging.future import Future
from sawtooth_sdk.messaging.future import FutureResult
from sawtooth_sdk.protobuf.validator_pb2 import Message
from sawtooth_sdk.prot... | 0.745398 | 0.368974 |
import unittest
from gget.gget_blat import blat
class TestBlat(unittest.TestCase):
def test_blat_nt(self):
df = blat("ATGCTGAATTTATGCTGAATTTATGCTGAATTTATGCTGAATTT")
result_to_test = df.values.tolist()
expected_result = [
["hg38", 44, 17, 44, 28, 0, 63.64, 100.0, "chr18", "+", 1... | tests/test_gget_blat.py | import unittest
from gget.gget_blat import blat
class TestBlat(unittest.TestCase):
def test_blat_nt(self):
df = blat("ATGCTGAATTTATGCTGAATTTATGCTGAATTTATGCTGAATTT")
result_to_test = df.values.tolist()
expected_result = [
["hg38", 44, 17, 44, 28, 0, 63.64, 100.0, "chr18", "+", 1... | 0.555073 | 0.591546 |
import os
import pandas as pd
import csv
from tqdm import tqdm
import json
class Format2Category:
def __init__(self, source, target):
self.source = source
self.target = target
self.uri = {
"/item/getDetail": ["userId", "itemId", "categoryId"],
"/item/favor": ["userI... | Stream/process/format2category.py | import os
import pandas as pd
import csv
from tqdm import tqdm
import json
class Format2Category:
def __init__(self, source, target):
self.source = source
self.target = target
self.uri = {
"/item/getDetail": ["userId", "itemId", "categoryId"],
"/item/favor": ["userI... | 0.135718 | 0.074433 |
from __future__ import print_function
from __future__ import division
from __future__ import absolute_import
import argparse
import torch
from utils.names_match_torch import methods
import os
import numpy as np
from utils.common import create_code_snapshot
def main(args):
# print args recap
print(args, end="\... | submissions/nic/code_snapshot/general_main.py | from __future__ import print_function
from __future__ import division
from __future__ import absolute_import
import argparse
import torch
from utils.names_match_torch import methods
import os
import numpy as np
from utils.common import create_code_snapshot
def main(args):
# print args recap
print(args, end="\... | 0.44071 | 0.099821 |
import os
import shutil
import numpy as np
from collections import namedtuple
import glob
import time
import datetime
import pickle
import torch
import matplotlib.pyplot as plt
from termcolor import cprint
from navpy import lla2ned
from collections import OrderedDict
from dataset import BaseDataset
from utils_torch_fil... | ai_imu_dr/main_kitti.py | import os
import shutil
import numpy as np
from collections import namedtuple
import glob
import time
import datetime
import pickle
import torch
import matplotlib.pyplot as plt
from termcolor import cprint
from navpy import lla2ned
from collections import OrderedDict
from dataset import BaseDataset
from utils_torch_fil... | 0.53777 | 0.26153 |
import tensorflow as tf
import numpy as np
from FUNCTION import *
def psnr(input, label, shave):
assert (label.dtype == input.dtype)
if shave != 0:
input = input[shave:-shave, shave:-shave, :]
label = label[shave:-shave, shave:-shave, :]
diff = np.int32(label) - np.int32(input)
mse = np... | deep_preprocessing/EVALUATION.py | import tensorflow as tf
import numpy as np
from FUNCTION import *
def psnr(input, label, shave):
assert (label.dtype == input.dtype)
if shave != 0:
input = input[shave:-shave, shave:-shave, :]
label = label[shave:-shave, shave:-shave, :]
diff = np.int32(label) - np.int32(input)
mse = np... | 0.473414 | 0.44342 |
"""Get river name for location sites"""
from django.core.management.base import BaseCommand
from django.db.models import F
from bims.models.location_site import (
LocationSite,
)
from bims.location_site.river import (
allocate_site_codes_from_river
)
from bims.utils.logger import log
class Command(BaseComman... | bims/management/commands/allocate_site_codes.py | """Get river name for location sites"""
from django.core.management.base import BaseCommand
from django.db.models import F
from bims.models.location_site import (
LocationSite,
)
from bims.location_site.river import (
allocate_site_codes_from_river
)
from bims.utils.logger import log
class Command(BaseComman... | 0.472683 | 0.205974 |
import time
import cv2
import numpy as np
from copy import deepcopy
from PIL import Image, ImageDraw, ImageFont
from keras.models import Sequential
from keras.layers import Dense, Dropout, Activation, Flatten
from keras.layers import Conv2D, MaxPooling2D
from keras.utils import np_utils
from keras import backend as K... | GestureCNN.py | import time
import cv2
import numpy as np
from copy import deepcopy
from PIL import Image, ImageDraw, ImageFont
from keras.models import Sequential
from keras.layers import Dense, Dropout, Activation, Flatten
from keras.layers import Conv2D, MaxPooling2D
from keras.utils import np_utils
from keras import backend as K... | 0.582372 | 0.213111 |
from crits.core.crits_mongoengine import EmbeddedCampaign
from crits.vocabulary.indicators import (
IndicatorThreatTypes,
IndicatorAttackTypes
)
def migrate_indicator(self):
"""
Migrate to the latest schema version.
"""
migrate_4_to_5(self)
def migrate_4_to_5(self):
"""
Migrate from s... | crits/indicators/migrate.py | from crits.core.crits_mongoengine import EmbeddedCampaign
from crits.vocabulary.indicators import (
IndicatorThreatTypes,
IndicatorAttackTypes
)
def migrate_indicator(self):
"""
Migrate to the latest schema version.
"""
migrate_4_to_5(self)
def migrate_4_to_5(self):
"""
Migrate from s... | 0.561215 | 0.220678 |
import aws_cdk.aws_codebuild as codebuild
import aws_cdk.aws_codecommit as codecommit
import aws_cdk.aws_codepipeline as codepipeline
import aws_cdk.aws_codepipeline_actions as codepipeline_actions
import aws_cdk.aws_ecr as ecr
import aws_cdk.aws_iam as iam
import aws_cdk.core
from aws_cdk import core
class CdkPipel... | cdk/pipeline/pipeline_old.py |
import aws_cdk.aws_codebuild as codebuild
import aws_cdk.aws_codecommit as codecommit
import aws_cdk.aws_codepipeline as codepipeline
import aws_cdk.aws_codepipeline_actions as codepipeline_actions
import aws_cdk.aws_ecr as ecr
import aws_cdk.aws_iam as iam
import aws_cdk.core
from aws_cdk import core
class CdkPipel... | 0.499023 | 0.06256 |
import random
import requests
import cv2
import threading
import time
import numpy as np
import json
class Login():
LOGIN_URL = 'https://passport.jd.com/new/login.aspx'
QRCODE_URL = 'http://qr.m.jd.com/show?appid=133&size=147&t='
CHECK_URL = 'https://qr.m.jd.com/check?callback=jQuery8392893&appid=133&toke... | mainFile/Login.py | import random
import requests
import cv2
import threading
import time
import numpy as np
import json
class Login():
LOGIN_URL = 'https://passport.jd.com/new/login.aspx'
QRCODE_URL = 'http://qr.m.jd.com/show?appid=133&size=147&t='
CHECK_URL = 'https://qr.m.jd.com/check?callback=jQuery8392893&appid=133&toke... | 0.155078 | 0.120827 |
from glob import glob
import os
from io import BytesIO
import argparse
import multiprocessing
import cv2
import lmdb
from tqdm import tqdm
from PIL import Image
from torchvision.transforms import functional as trans_fn
import constants
from utils import format_for_lmdb
class Resizer:
def __init__(self, data_ty... | prepare_data.py |
from glob import glob
import os
from io import BytesIO
import argparse
import multiprocessing
import cv2
import lmdb
from tqdm import tqdm
from PIL import Image
from torchvision.transforms import functional as trans_fn
import constants
from utils import format_for_lmdb
class Resizer:
def __init__(self, data_ty... | 0.536556 | 0.194502 |
import abc
import datetime
import json
from tweepy import API
from tweepy import AppAuthHandler
from tweepy import Cursor
class BaseClient(abc.ABC):
def __init__(self, config_obj):
self.count = 0
self.data = []
self.config = config_obj
@abc.abstractmethod
def fetch_data(self, key... | lib/rinnegan_worker/sources.py | import abc
import datetime
import json
from tweepy import API
from tweepy import AppAuthHandler
from tweepy import Cursor
class BaseClient(abc.ABC):
def __init__(self, config_obj):
self.count = 0
self.data = []
self.config = config_obj
@abc.abstractmethod
def fetch_data(self, key... | 0.272508 | 0.103295 |
import collections
import itertools
import time
from concurrent.futures import ThreadPoolExecutor
class LazyThreadPoolExecutor(ThreadPoolExecutor):
"""ThreadPoolExecutor with lazy iterable collection in map().
Implementation taken from https://github.com/python/cpython/pull/707
"""
def map(self, fn... | scripts/word_embeddings/executors.py | import collections
import itertools
import time
from concurrent.futures import ThreadPoolExecutor
class LazyThreadPoolExecutor(ThreadPoolExecutor):
"""ThreadPoolExecutor with lazy iterable collection in map().
Implementation taken from https://github.com/python/cpython/pull/707
"""
def map(self, fn... | 0.578924 | 0.196595 |
import argparse, logging
from typing import Dict, Tuple, Any, Callable, Generic, TypeVar
from ast import literal_eval
from torch.optim import Optimizer, Adam, SparseAdam
from torch.optim.lr_scheduler import *
from torch.nn import L1Loss, MSELoss
from torch.nn import Module
# type aliases
Name = str
ArgumentName = str... | src/pytorch_argparse.py | import argparse, logging
from typing import Dict, Tuple, Any, Callable, Generic, TypeVar
from ast import literal_eval
from torch.optim import Optimizer, Adam, SparseAdam
from torch.optim.lr_scheduler import *
from torch.nn import L1Loss, MSELoss
from torch.nn import Module
# type aliases
Name = str
ArgumentName = str... | 0.918439 | 0.317215 |
# COMMAND ----------
# MAGIC %md
# MAGIC ## Vaccine parameters
# COMMAND ----------
# MAGIC %py
# MAGIC #Dataset parameters
# MAGIC gdppr_data = 'dars_nic_391419_j3w9t_collab.ccu002_vac_gdppr_dars_nic_391419_j3w9t'
# MAGIC skinny_data = 'dars_nic_391419_j3w9t_collab.ccu002_vac_skinny_patient'
# MAGIC death_data = '... | code/Databricks/CCU002_02-D04-quality_assurance.py |
# COMMAND ----------
# MAGIC %md
# MAGIC ## Vaccine parameters
# COMMAND ----------
# MAGIC %py
# MAGIC #Dataset parameters
# MAGIC gdppr_data = 'dars_nic_391419_j3w9t_collab.ccu002_vac_gdppr_dars_nic_391419_j3w9t'
# MAGIC skinny_data = 'dars_nic_391419_j3w9t_collab.ccu002_vac_skinny_patient'
# MAGIC death_data = '... | 0.469034 | 0.33595 |
class HydratedServiceApi:
def __init__(self, client, base_path = "/v1"):
self.client = client
self.base_path = base_path
def findHydratedDatasetVersions(self, body=None):
__query = {
}
if body is None:
raise Exception("Missing required parameter \"body\"")
format_args = {}
path ... | client/verta/verta/_swagger/_public/modeldb/api/HydratedServiceApi.py |
class HydratedServiceApi:
def __init__(self, client, base_path = "/v1"):
self.client = client
self.base_path = base_path
def findHydratedDatasetVersions(self, body=None):
__query = {
}
if body is None:
raise Exception("Missing required parameter \"body\"")
format_args = {}
path ... | 0.488771 | 0.081264 |
import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
from sklearn.metrics import roc_auc_score, roc_curve
import multiprocessing
n_train = multiprocessing.cpu_count()
n_test = multiprocessing.cpu_count()
ligands = ["ADP", "COA", "FAD", "HEM", "NAD", "NAP", "SAM"]
lig2num = {l:... | comparison/masif_ligand/Kripo/similarity_results/generate_ROCs.py | import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
from sklearn.metrics import roc_auc_score, roc_curve
import multiprocessing
n_train = multiprocessing.cpu_count()
n_test = multiprocessing.cpu_count()
ligands = ["ADP", "COA", "FAD", "HEM", "NAD", "NAP", "SAM"]
lig2num = {l:... | 0.265404 | 0.304248 |
import cio
import json
from django.core.exceptions import ImproperlyConfigured
from django.core.urlresolvers import reverse, NoReverseMatch
from django.template.loader import render_to_string
from django.utils import translation
from django.utils.encoding import smart_unicode
from cio.pipeline import pipeline
from djed... | djedi/middleware/mixins.py | import cio
import json
from django.core.exceptions import ImproperlyConfigured
from django.core.urlresolvers import reverse, NoReverseMatch
from django.template.loader import render_to_string
from django.utils import translation
from django.utils.encoding import smart_unicode
from cio.pipeline import pipeline
from djed... | 0.345105 | 0.068881 |
import os
import logging
import numpy as np
import torch
import torch.nn as nn
from components.utils.visualize import plot_train_progress, plot_lcurve
from components.data.common import cuda_if_gpu
from torch.autograd import Variable
from components.trainer import BaseTrainer
logger = logging.getLogger('experiment')
... | components/trainer/e2e_trainer_MLP.py | import os
import logging
import numpy as np
import torch
import torch.nn as nn
from components.utils.visualize import plot_train_progress, plot_lcurve
from components.data.common import cuda_if_gpu
from torch.autograd import Variable
from components.trainer import BaseTrainer
logger = logging.getLogger('experiment')
... | 0.837686 | 0.299246 |
import grpc
from tensorflow.contrib.tpu.profiler import tpu_profiler_pb2 as tensorflow_dot_contrib_dot_tpu_dot_profiler_dot_tpu__profiler__pb2
class TPUProfilerStub(object):
"""The TPUProfiler service retrieves performance information about
the programs running on connected TPUs over a period of time.
"""
d... | venv/lib/python3.6/site-packages/tensorflow/contrib/tpu/profiler/tpu_profiler_pb2_grpc.py | import grpc
from tensorflow.contrib.tpu.profiler import tpu_profiler_pb2 as tensorflow_dot_contrib_dot_tpu_dot_profiler_dot_tpu__profiler__pb2
class TPUProfilerStub(object):
"""The TPUProfiler service retrieves performance information about
the programs running on connected TPUs over a period of time.
"""
d... | 0.76476 | 0.087252 |
import abc
import jsonschema
from tabledata import TableData
from .._constant import SourceType
from .._constant import TableNameTemplate as tnt
from ..error import ValidationError
from ..formatter import TableFormatter
class JsonConverter(TableFormatter):
"""
The abstract class of JSON data converter.
... | pytablereader/json/formatter.py | import abc
import jsonschema
from tabledata import TableData
from .._constant import SourceType
from .._constant import TableNameTemplate as tnt
from ..error import ValidationError
from ..formatter import TableFormatter
class JsonConverter(TableFormatter):
"""
The abstract class of JSON data converter.
... | 0.726814 | 0.299118 |
import collections
# category: chained dictionaries
def chainmap_maps():
"""obj.maps(): Linked dictionaries."""
map_one = {1: 0}
map_two = {99: "Link"}
chained = collections.ChainMap(map_two, map_one)
return map_one in chained.maps and chained[99]
def chainmap_hierarchy():
"""obj.parents... | pyhow/samples/lib/collections.py |
import collections
# category: chained dictionaries
def chainmap_maps():
"""obj.maps(): Linked dictionaries."""
map_one = {1: 0}
map_two = {99: "Link"}
chained = collections.ChainMap(map_two, map_one)
return map_one in chained.maps and chained[99]
def chainmap_hierarchy():
"""obj.parents... | 0.876145 | 0.535098 |
import sqlite3
import re
import sys
import time
import datetime
import csv
##tables creator
def tbcreator():
conn = sqlite3.connect("ecom.db")
c = conn.cursor()
try:
c.execute('''CREATE TABLE user
("USER_ID" INTEGER NOT NULL,
"LOGIN" TEXT NOT NULL U... | Ecommerceapp/elib.py | import sqlite3
import re
import sys
import time
import datetime
import csv
##tables creator
def tbcreator():
conn = sqlite3.connect("ecom.db")
c = conn.cursor()
try:
c.execute('''CREATE TABLE user
("USER_ID" INTEGER NOT NULL,
"LOGIN" TEXT NOT NULL U... | 0.090947 | 0.04406 |
import typing as t
import jwt
from starlette import authentication
from starlette.requests import Request
from backend import constants
# We must import user such way here to avoid circular imports
from .user import User
class JWTAuthenticationBackend(authentication.AuthenticationBackend):
"""Custom Starlette a... | backend/authentication/backend.py | import typing as t
import jwt
from starlette import authentication
from starlette.requests import Request
from backend import constants
# We must import user such way here to avoid circular imports
from .user import User
class JWTAuthenticationBackend(authentication.AuthenticationBackend):
"""Custom Starlette a... | 0.601711 | 0.116337 |
__author__ = '<EMAIL>'
"""
Diff with IceFiles:
1. <subread_xml> replaces <bas_fofn> (for running Arrow)
2. removed <fasta_fofn>
3. removed <ccs_fofn>
4. s/quiver/arrow
"""
import os.path as op
import re
import logging
from pbtranscript.Utils import real_ppath, now_str, mkdir
from pbtranscript.ice.IceFiles i... | cupcake2/ice2/IceFiles2.py | __author__ = '<EMAIL>'
"""
Diff with IceFiles:
1. <subread_xml> replaces <bas_fofn> (for running Arrow)
2. removed <fasta_fofn>
3. removed <ccs_fofn>
4. s/quiver/arrow
"""
import os.path as op
import re
import logging
from pbtranscript.Utils import real_ppath, now_str, mkdir
from pbtranscript.ice.IceFiles i... | 0.455925 | 0.181844 |
import os
try:
os.chdir('/Volumes/GoogleDrive/My Drive/python_code/connectome_tools/')
print(os.getcwd())
except:
pass
#%%
import csv
import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
character = pd.read_csv('data/characterization_table.csv')
fragments = charact... | scripts/brain_completeness/characterization_table.py | import os
try:
os.chdir('/Volumes/GoogleDrive/My Drive/python_code/connectome_tools/')
print(os.getcwd())
except:
pass
#%%
import csv
import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
character = pd.read_csv('data/characterization_table.csv')
fragments = charact... | 0.10704 | 0.098903 |
from sympy.core.numbers import I
from sympy.polys.polyerrors import CoercionFailed
from sympy.polys.domains import ZZ, QQ
from sympy.polys.domains.algebraicfield import AlgebraicField
from sympy.polys.domains.domainelement import DomainElement
from sympy.polys.domains.field import Field
from sympy.polys.domains.ring i... | sympy/polys/domains/gaussiandomains.py |
from sympy.core.numbers import I
from sympy.polys.polyerrors import CoercionFailed
from sympy.polys.domains import ZZ, QQ
from sympy.polys.domains.algebraicfield import AlgebraicField
from sympy.polys.domains.domainelement import DomainElement
from sympy.polys.domains.field import Field
from sympy.polys.domains.ring i... | 0.870088 | 0.302861 |
import logging
from typing import Callable
from collections import OrderedDict
from rx import operators as ops
from rx.core import Observable
from rx.internal.utils import add_ref
from rx.disposable import SingleAssignmentDisposable, RefCountDisposable, CompositeDisposable
from rx.subjects import Subject
log = loggin... | rx/core/operators/groupjoin.py | import logging
from typing import Callable
from collections import OrderedDict
from rx import operators as ops
from rx.core import Observable
from rx.internal.utils import add_ref
from rx.disposable import SingleAssignmentDisposable, RefCountDisposable, CompositeDisposable
from rx.subjects import Subject
log = loggin... | 0.890938 | 0.543651 |
from docopt import docopt,DocoptExit
import os
import sys
import json
import pathlib
def dictHasKey(myDict,key):
if key in myDict.keys():
return True
else:
return False
try:
args=docopt(__doc__,help=True,options_first=False)
except DocoptExit:
print(__doc__)
sys.exit(1)
path = args... | basefiles/real_start.py | from docopt import docopt,DocoptExit
import os
import sys
import json
import pathlib
def dictHasKey(myDict,key):
if key in myDict.keys():
return True
else:
return False
try:
args=docopt(__doc__,help=True,options_first=False)
except DocoptExit:
print(__doc__)
sys.exit(1)
path = args... | 0.09313 | 0.116036 |
import reframe as rfm
import reframe.utility.sanity as sn
from reframe.core.launchers import LauncherWrapper
@rfm.required_version('>=2.14')
@rfm.simple_test
class CudaGdbCheck(rfm.RegressionTest):
def __init__(self):
super().__init__()
self.valid_prog_environs = ['PrgEnv-gnu']
self.valid... | cscs-checks/tools/profiling_and_debugging/cuda_gdb.py | import reframe as rfm
import reframe.utility.sanity as sn
from reframe.core.launchers import LauncherWrapper
@rfm.required_version('>=2.14')
@rfm.simple_test
class CudaGdbCheck(rfm.RegressionTest):
def __init__(self):
super().__init__()
self.valid_prog_environs = ['PrgEnv-gnu']
self.valid... | 0.30767 | 0.141667 |
from argparse import ArgumentDefaultsHelpFormatter, ArgumentParser
from numpy import argsort, bincount, set_printoptions, where, zeros
from numpy.random import seed
from generative_process import generate_data
import time
def test_inference(algorithm, V, D, l, alpha, beta, num_itns, s, args):
"""
Generates d... | dpmm/test_inference.py | from argparse import ArgumentDefaultsHelpFormatter, ArgumentParser
from numpy import argsort, bincount, set_printoptions, where, zeros
from numpy.random import seed
from generative_process import generate_data
import time
def test_inference(algorithm, V, D, l, alpha, beta, num_itns, s, args):
"""
Generates d... | 0.727007 | 0.380011 |
import argparse
import os
from tempfile import mkdtemp
from shutil import rmtree
parser = argparse.ArgumentParser(description = 'Build C/CUDA libs with cmake and install \
them to the correct location for the python package')
parser.add_argument('--build_dir', help = 't... | build_libs_for_python.py |
import argparse
import os
from tempfile import mkdtemp
from shutil import rmtree
parser = argparse.ArgumentParser(description = 'Build C/CUDA libs with cmake and install \
them to the correct location for the python package')
parser.add_argument('--build_dir', help = 't... | 0.126502 | 0.040332 |
import maya.cmds as cmds
import maya.api.OpenMaya as OpenMaya
import cmt.shortcuts as shortcuts
import cmt.rig.common as common
class SpineRig(object):
def __init__(
self, start_joint, end_joint, start_control, end_control, name="spine"
):
self.effector = None
self.ik_handle = None
... | scripts/cmt/rig/spine.py | import maya.cmds as cmds
import maya.api.OpenMaya as OpenMaya
import cmt.shortcuts as shortcuts
import cmt.rig.common as common
class SpineRig(object):
def __init__(
self, start_joint, end_joint, start_control, end_control, name="spine"
):
self.effector = None
self.ik_handle = None
... | 0.636127 | 0.209571 |
from discord.ext.commands import Context as _BaseContext
import discord
import asyncio
import contextlib
import json
from typing import Any, Iterator, Optional, Sequence, Union
class Context(_BaseContext):
"""A Custom Context for extra functionality."""
async def guild_config(self) -> dict:
"""Gets ... | internal/context.py | from discord.ext.commands import Context as _BaseContext
import discord
import asyncio
import contextlib
import json
from typing import Any, Iterator, Optional, Sequence, Union
class Context(_BaseContext):
"""A Custom Context for extra functionality."""
async def guild_config(self) -> dict:
"""Gets ... | 0.83602 | 0.115736 |
from django.core.management.base import BaseCommand, CommandError
from treeio.core.conf import settings
import json
import subprocess
from os import path
import sys
PROJECT_ROOT = getattr(settings, 'PROJECT_ROOT')
HARDTREE_DB_SETTINGS_FILE = path.join(PROJECT_ROOT, 'core/db/dbsettings.json')
class Command(BaseComma... | core/management/commands/installdb.py |
from django.core.management.base import BaseCommand, CommandError
from treeio.core.conf import settings
import json
import subprocess
from os import path
import sys
PROJECT_ROOT = getattr(settings, 'PROJECT_ROOT')
HARDTREE_DB_SETTINGS_FILE = path.join(PROJECT_ROOT, 'core/db/dbsettings.json')
class Command(BaseComma... | 0.256553 | 0.035278 |
import sys
import time
import os
import argparse
import logging
import numpy as np
from picamera.array import PiRGBArray
from picamera import PiCamera
from skincal import *
from config import Config
from numpyfb import NumpyFb
from PIL import Image
if __name__ == "__main__":
parser = argparse.ArgumentParser()
... | blackmirror.py |
import sys
import time
import os
import argparse
import logging
import numpy as np
from picamera.array import PiRGBArray
from picamera import PiCamera
from skincal import *
from config import Config
from numpyfb import NumpyFb
from PIL import Image
if __name__ == "__main__":
parser = argparse.ArgumentParser()
... | 0.333286 | 0.197793 |
import unittest
import mock
from scream.monorepo import Monorepo, version_counter
from scream.package import Package
class MockPackage(Package):
"""Override Package constructor so we can test the individual methods.
"""
def __init__(self):
pass
class MockScream():
def __init__(self, packa... | test/test_monorepo_validation.py | import unittest
import mock
from scream.monorepo import Monorepo, version_counter
from scream.package import Package
class MockPackage(Package):
"""Override Package constructor so we can test the individual methods.
"""
def __init__(self):
pass
class MockScream():
def __init__(self, packa... | 0.521227 | 0.504211 |
import os
import dj_database_url
import django_heroku
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
SECRET_KEY = os.environ.get("SECRET_KEY", "placeholder")
DEBUG = os.environ.get("DEBUG", False)
ALLOWED_HOSTS = ["*.h... | what_does_af_stand_for/settings.py |
import os
import dj_database_url
import django_heroku
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
SECRET_KEY = os.environ.get("SECRET_KEY", "placeholder")
DEBUG = os.environ.get("DEBUG", False)
ALLOWED_HOSTS = ["*.h... | 0.379953 | 0.147126 |
import numpy
class BFGSFDHessian():
def __init__(self,scheme,df_pointer):
self.__scheme=scheme
self.__dfpointer=df_pointer
def get_scheme(self):
return self.__scheme
def iterate_bfgs_mat(self,H,xk,xkp1,grad_k,grad_kp1):
sk=numpy.atleast_2d(xkp1-xk).T#numpy... | sos_trades_core/tools/grad_solvers/validgrad/BFGSFDHessian.py | import numpy
class BFGSFDHessian():
def __init__(self,scheme,df_pointer):
self.__scheme=scheme
self.__dfpointer=df_pointer
def get_scheme(self):
return self.__scheme
def iterate_bfgs_mat(self,H,xk,xkp1,grad_k,grad_kp1):
sk=numpy.atleast_2d(xkp1-xk).T#numpy... | 0.117826 | 0.232163 |
from __future__ import unicode_literals, division, print_function, absolute_import
import argparse
from captain.reflection import (
ReflectCommand,
ReflectMethod,
ParseArg,
Name,
)
from captain import Command
from . import testdata, TestCase, FileScript, ModuleScript
class ReflectCommandTest(TestCas... | tests/reflection_test.py | from __future__ import unicode_literals, division, print_function, absolute_import
import argparse
from captain.reflection import (
ReflectCommand,
ReflectMethod,
ParseArg,
Name,
)
from captain import Command
from . import testdata, TestCase, FileScript, ModuleScript
class ReflectCommandTest(TestCas... | 0.544801 | 0.350408 |
import csv
import cv2
import os
import numpy as np
import glob
import matplotlib.pyplot as plt
from matplotlib.patches import Patch
from ..base import BaseDataset
from ..utils import image_loader
from .schemas import SegmentationDatasetSchema
#"Background": 0
#"Buildings": 1
LABELS = ["Background", "Buildings"]
# Co... | aitlas/datasets/massachusetts_buildings.py | import csv
import cv2
import os
import numpy as np
import glob
import matplotlib.pyplot as plt
from matplotlib.patches import Patch
from ..base import BaseDataset
from ..utils import image_loader
from .schemas import SegmentationDatasetSchema
#"Background": 0
#"Buildings": 1
LABELS = ["Background", "Buildings"]
# Co... | 0.516839 | 0.435271 |
import smtplib
from os.path import basename
from email.mime.application import MIMEApplication
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from email.utils import COMMASPACE, formatdate
class Mailer(object):
port = 25
server = "127.0.0.1"
tls = False
authenticat... | ad2web/mailer.py | import smtplib
from os.path import basename
from email.mime.application import MIMEApplication
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from email.utils import COMMASPACE, formatdate
class Mailer(object):
port = 25
server = "127.0.0.1"
tls = False
authenticat... | 0.273671 | 0.102799 |
__all__ = ["SubcommandInvocationRequired", "Command", "Group", "command", "group"]
from discord.ext import commands
class SubcommandInvocationRequired(commands.CommandError):
"""A :class:`discord.ext.commands.CommandError` that is subclass raised when a subcommand needs to be invoked."""
class Command(command... | lifesaver/commands/core.py |
__all__ = ["SubcommandInvocationRequired", "Command", "Group", "command", "group"]
from discord.ext import commands
class SubcommandInvocationRequired(commands.CommandError):
"""A :class:`discord.ext.commands.CommandError` that is subclass raised when a subcommand needs to be invoked."""
class Command(command... | 0.87584 | 0.168412 |
from spotty.errors.instance_not_running import InstanceNotRunningError
from spotty.deployment.abstract_cloud_instance.abstract_cloud_instance_manager import AbstractCloudInstanceManager
from spotty.providers.aws.resource_managers.bucket_manager import BucketManager
from spotty.providers.aws.config.instance_config impor... | spotty/providers/aws/instance_manager.py | from spotty.errors.instance_not_running import InstanceNotRunningError
from spotty.deployment.abstract_cloud_instance.abstract_cloud_instance_manager import AbstractCloudInstanceManager
from spotty.providers.aws.resource_managers.bucket_manager import BucketManager
from spotty.providers.aws.config.instance_config impor... | 0.849441 | 0.085137 |