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 types import GeneratorType
from satori.objects import Object, Argument
from satori.events.misc import flattenCoroutine
from satori.events.protocol import Command, ProtocolError
class Scheduler(Object):
"""Interface. Chooses which Client to run next.
"""
def next(self):
"""Return the next Cl... | satori.events/satori/events/client.py | from types import GeneratorType
from satori.objects import Object, Argument
from satori.events.misc import flattenCoroutine
from satori.events.protocol import Command, ProtocolError
class Scheduler(Object):
"""Interface. Chooses which Client to run next.
"""
def next(self):
"""Return the next Cl... | 0.776665 | 0.137764 |
import asyncio
import logging
from pycoinnet.InvItem import InvItem, ITEM_TYPE_TX
class TxHandler:
def __init__(self, inv_collector, tx_store, tx_validator=lambda tx: True):
self.inv_collector = inv_collector
self.q = inv_collector.new_inv_item_queue()
self.tx_store = tx_store
sel... | pycoinnet/peergroup/TxHandler.py | import asyncio
import logging
from pycoinnet.InvItem import InvItem, ITEM_TYPE_TX
class TxHandler:
def __init__(self, inv_collector, tx_store, tx_validator=lambda tx: True):
self.inv_collector = inv_collector
self.q = inv_collector.new_inv_item_queue()
self.tx_store = tx_store
sel... | 0.316158 | 0.1011 |
import argparse
import json
import pika
import platform
import sys
import time
from datetime import date
from gpiozero import CPUTemperature
parser = argparse.ArgumentParser()
# Requires a json file for authentication paramters
# debug is optional
parser.add_argument('-j','--json', required=True,
metavar='js... | mqtt_temp_client.py |
import argparse
import json
import pika
import platform
import sys
import time
from datetime import date
from gpiozero import CPUTemperature
parser = argparse.ArgumentParser()
# Requires a json file for authentication paramters
# debug is optional
parser.add_argument('-j','--json', required=True,
metavar='js... | 0.238373 | 0.063193 |
from optparse import make_option
from django.conf import settings
from django.contrib.sites.models import Site
from django.core.management.base import BaseCommand, CommandError, NoArgsCommand
from django.utils import translation
from django.utils.translation import get_language_info
import sys
from fluent_pages.models ... | fluent_pages/management/commands/make_language_redirects.py | from optparse import make_option
from django.conf import settings
from django.contrib.sites.models import Site
from django.core.management.base import BaseCommand, CommandError, NoArgsCommand
from django.utils import translation
from django.utils.translation import get_language_info
import sys
from fluent_pages.models ... | 0.410284 | 0.081483 |
import sys, os
sys.path.append(os.path.join(os.path.dirname(__file__), ".."))
from match_info.match_info import MatchInfo, MatchInfoConfig
import pytest
class FakeBot:
def __init__(self):
self.match_info: MatchInfo = None
self.new_game_called = 0
self.new_game_with_mmr_called = 0
... | test/test_match_info.py | import sys, os
sys.path.append(os.path.join(os.path.dirname(__file__), ".."))
from match_info.match_info import MatchInfo, MatchInfoConfig
import pytest
class FakeBot:
def __init__(self):
self.match_info: MatchInfo = None
self.new_game_called = 0
self.new_game_with_mmr_called = 0
... | 0.374333 | 0.315578 |
import re
import json
from itertools import count
import datetime
from collections import defaultdict
from rdflib import Graph, Namespace, OWL, Literal, URIRef, BNode, XSD, RDFS, RDF
from rdfalchemy import rdfSubject, rdfSingle, rdfMultiple
bio = Namespace("http://purl.org/vocab/bio/0.1/")
schema = Namespace('http://... | 2rdf.py | import re
import json
from itertools import count
import datetime
from collections import defaultdict
from rdflib import Graph, Namespace, OWL, Literal, URIRef, BNode, XSD, RDFS, RDF
from rdfalchemy import rdfSubject, rdfSingle, rdfMultiple
bio = Namespace("http://purl.org/vocab/bio/0.1/")
schema = Namespace('http://... | 0.246171 | 0.185136 |
from flask import Flask, request, jsonify
from flask_sqlalchemy import SQLAlchemy
from flask_cors import CORS
from dotenv import load_dotenv
import json
import datetime
import os
import requests
load_dotenv()
DATABASE_PASSWORD = os.getenv("DATABASE_PASSWORD")
API_URL = os.getenv("API_URL")
travel_catalog_url = API_UR... | traval-backend/order/order.py | from flask import Flask, request, jsonify
from flask_sqlalchemy import SQLAlchemy
from flask_cors import CORS
from dotenv import load_dotenv
import json
import datetime
import os
import requests
load_dotenv()
DATABASE_PASSWORD = os.getenv("DATABASE_PASSWORD")
API_URL = os.getenv("API_URL")
travel_catalog_url = API_UR... | 0.438785 | 0.098512 |
from __future__ import division
import glob
import os
import matplotlib
#matplotlib.use('Qt4Agg')
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import seaborn as sns
from stats import plot_result_difference_bars
try:
import cPickle as pickle
except:
import pickle
def plot_stats(pr... | plot_stats.py | from __future__ import division
import glob
import os
import matplotlib
#matplotlib.use('Qt4Agg')
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import seaborn as sns
from stats import plot_result_difference_bars
try:
import cPickle as pickle
except:
import pickle
def plot_stats(pr... | 0.68679 | 0.307364 |
from unittest import TestCase
from textx import metamodel_from_file
import converter.json_converter as converter
converted_positive = """
{
"rules": [
{
"conditions": [
{
"operator": ">=",
"parameter": {
"propert... | parser/tests/test_converter.py | from unittest import TestCase
from textx import metamodel_from_file
import converter.json_converter as converter
converted_positive = """
{
"rules": [
{
"conditions": [
{
"operator": ">=",
"parameter": {
"propert... | 0.78609 | 0.38549 |
import requests
from bs4 import BeautifulSoup
import json
import boto3
import json
from datetime import datetime
import os
import common
import match
import watchlist
import logging
log = logging.getLogger()
log.setLevel(logging.INFO)
stop_words = ['One', 'morning', ',', 'when', 'Gregor', 'Samsa', 'woke', 'from', 'tro... | serverless/newsfeed.py |
import requests
from bs4 import BeautifulSoup
import json
import boto3
import json
from datetime import datetime
import os
import common
import match
import watchlist
import logging
log = logging.getLogger()
log.setLevel(logging.INFO)
stop_words = ['One', 'morning', ',', 'when', 'Gregor', 'Samsa', 'woke', 'from', 'tro... | 0.431824 | 0.182153 |
import os
import csv
import pickle
import numpy as np
import argparse
def get_args():
parser = argparse.ArgumentParser('NTU RGB+D Dataset Preprocessing')
parser.add_argument('--file-path', type=str, default='D:/nturgb+d_skeletons')
return parser.parse_args()
def csv2pickle(data, filename, base_dir='./... | two_stream_recurrent_neural_network_ntu_rgbd/ntu-dataset/ntu_dataset_main.py | import os
import csv
import pickle
import numpy as np
import argparse
def get_args():
parser = argparse.ArgumentParser('NTU RGB+D Dataset Preprocessing')
parser.add_argument('--file-path', type=str, default='D:/nturgb+d_skeletons')
return parser.parse_args()
def csv2pickle(data, filename, base_dir='./... | 0.349644 | 0.173078 |
"""Remove"""
"""Template task in which you prevent something from falling so ball can roll into container."""
import numpy as np
import phyre.creator as creator_lib
import phyre.virtual_tools as vt
@creator_lib.define_task_template(
seed=range(1000),
version="2",
search_params=dict(required_flags=['BALL:G... | data/task_scripts/main/task01007.py | """Remove"""
"""Template task in which you prevent something from falling so ball can roll into container."""
import numpy as np
import phyre.creator as creator_lib
import phyre.virtual_tools as vt
@creator_lib.define_task_template(
seed=range(1000),
version="2",
search_params=dict(required_flags=['BALL:G... | 0.576542 | 0.503601 |
from OpenGL import platform as _p, arrays
# Code generation uses this
from OpenGL.raw.GL import _types as _cs
# End users want this...
from OpenGL.raw.GL._types import *
from OpenGL.raw.GL import _errors
from OpenGL.constant import Constant as _C
import ctypes
_EXTENSION_NAME = 'GL_VERSION_GL_4_6'
def _f( function ):
... | env/Lib/site-packages/OpenGL/raw/GL/VERSION/GL_4_6.py | from OpenGL import platform as _p, arrays
# Code generation uses this
from OpenGL.raw.GL import _types as _cs
# End users want this...
from OpenGL.raw.GL._types import *
from OpenGL.raw.GL import _errors
from OpenGL.constant import Constant as _C
import ctypes
_EXTENSION_NAME = 'GL_VERSION_GL_4_6'
def _f( function ):
... | 0.347537 | 0.051439 |
from __future__ import unicode_literals
from django.db import models, migrations
import django.core.validators
class Migration(migrations.Migration):
dependencies = []
operations = [
migrations.CreateModel(
name="Account",
fields=[
(
"id",... | ditto/pinboard/migrations/0001_initial.py | from __future__ import unicode_literals
from django.db import models, migrations
import django.core.validators
class Migration(migrations.Migration):
dependencies = []
operations = [
migrations.CreateModel(
name="Account",
fields=[
(
"id",... | 0.672547 | 0.172974 |
import os
import argparse
import random
from tqdm import tqdm
import logging
from typing import Dict
logger = logging.getLogger(__name__)
def get_parser() -> argparse.ArgumentParser:
parser = argparse.ArgumentParser(description="Sample Sentences from monolingual corpora to train tokenizer")
parser.add_argume... | scripts/sample_tokenizer_sentences.py | import os
import argparse
import random
from tqdm import tqdm
import logging
from typing import Dict
logger = logging.getLogger(__name__)
def get_parser() -> argparse.ArgumentParser:
parser = argparse.ArgumentParser(description="Sample Sentences from monolingual corpora to train tokenizer")
parser.add_argume... | 0.671686 | 0.185172 |
import numpy as np
import andi
import csv
from tensorflow.keras.utils import Sequence
"""
Dataset generators
"""
def generate_tracks_regression(n, dimensions, min_T=5, max_T=1001):
"""
Generate tracks for training regression model
Parameters:
n: number of tracks to generate
dimensions: number o... | andi_funcs.py | import numpy as np
import andi
import csv
from tensorflow.keras.utils import Sequence
"""
Dataset generators
"""
def generate_tracks_regression(n, dimensions, min_T=5, max_T=1001):
"""
Generate tracks for training regression model
Parameters:
n: number of tracks to generate
dimensions: number o... | 0.929632 | 0.731011 |
import os
import csv
from pyparsing import Word, Combine, nums, alphas, Optional, Regex
from collections import OrderedDict
class ProxifierLog(object):
def __init__(self, dataset):
self.dataset = dataset
self.proxifierlog_grammar = self.__get_proxifierlog_grammar()
@staticmethod
def __get... | nerlogparser/grammar/proxifierlog.py | import os
import csv
from pyparsing import Word, Combine, nums, alphas, Optional, Regex
from collections import OrderedDict
class ProxifierLog(object):
def __init__(self, dataset):
self.dataset = dataset
self.proxifierlog_grammar = self.__get_proxifierlog_grammar()
@staticmethod
def __get... | 0.569494 | 0.246851 |
import json, os, sys
import numpy as np
from collections import Counter
file_path = os.path.abspath(__file__)
sys.path.append(os.path.abspath(os.path.join(file_path, "..", "..", "..")))
from code_aculat.visualize.plot_tools import plot_points
import pandas as pd
from matplotlib import pyplot as plt
def get_image2ann... | data_analyse/data_analyse_coco.py | import json, os, sys
import numpy as np
from collections import Counter
file_path = os.path.abspath(__file__)
sys.path.append(os.path.abspath(os.path.join(file_path, "..", "..", "..")))
from code_aculat.visualize.plot_tools import plot_points
import pandas as pd
from matplotlib import pyplot as plt
def get_image2ann... | 0.308503 | 0.28048 |
import os, logging, sys
from collections import OrderedDict as odict
import numpy as np
log = logging.getLogger(__name__)
from opticks.ana.bench import Bench
from mpl_toolkits.axes_grid1.axes_divider import make_axes_area_auto_adjustable
import matplotlib.pyplot as plt
from opticks.ana.plot import init_rcParams
init_... | ana/benchplot.py | import os, logging, sys
from collections import OrderedDict as odict
import numpy as np
log = logging.getLogger(__name__)
from opticks.ana.bench import Bench
from mpl_toolkits.axes_grid1.axes_divider import make_axes_area_auto_adjustable
import matplotlib.pyplot as plt
from opticks.ana.plot import init_rcParams
init_... | 0.370339 | 0.334345 |
import asynctest
import pytest
from decimal import Decimal
from market_values_api.services import MarketValuesService
class TestMarketValuesService(object):
@pytest.fixture
def company_list(self):
return ['CBA', 'ANZ', 'REA']
@pytest.fixture
def market_values(self):
return {'CBA': Dec... | tests/services/test_market_values_service.py | import asynctest
import pytest
from decimal import Decimal
from market_values_api.services import MarketValuesService
class TestMarketValuesService(object):
@pytest.fixture
def company_list(self):
return ['CBA', 'ANZ', 'REA']
@pytest.fixture
def market_values(self):
return {'CBA': Dec... | 0.424651 | 0.320875 |
from .asset_types import detect_asset_type, render_asset_html_tags, list_asset_types
from webassets import Bundle, six
from webassets.filter import get_filter
__all__ = ('Package', 'PackageError')
auto_filters = {
"less": ("less", "css"),
"coffee": ("coffeescript", "js"),
"sass": ("sass", "css"),
"s... | easywebassets/package.py | from .asset_types import detect_asset_type, render_asset_html_tags, list_asset_types
from webassets import Bundle, six
from webassets.filter import get_filter
__all__ = ('Package', 'PackageError')
auto_filters = {
"less": ("less", "css"),
"coffee": ("coffeescript", "js"),
"sass": ("sass", "css"),
"s... | 0.712132 | 0.167593 |
from token import DEDENT, INDENT, NAME, NEWLINE, STRING, ENDMARKER
from story5.parser import Parser
class Rule:
def __init__(self, name, alts):
self.name = name
self.alts = alts
def __repr__(self):
return f"Rule({self.name!r}, {self.alts})"
def __eq__(self, other):
if n... | story5/grammar.py |
from token import DEDENT, INDENT, NAME, NEWLINE, STRING, ENDMARKER
from story5.parser import Parser
class Rule:
def __init__(self, name, alts):
self.name = name
self.alts = alts
def __repr__(self):
return f"Rule({self.name!r}, {self.alts})"
def __eq__(self, other):
if n... | 0.659953 | 0.27594 |
from django.test import TestCase
from django.urls import reverse
from rest_framework import status
from rest_framework.test import APIClient
from core.github_utils import GithubSingleton
PR_LINKED_ISSUE_URL = reverse('flowie:pr_linked_issue-view')
class PRLinkedIssuePublicAPI(TestCase):
"""Tests for PR Linked... | backend/flowie/tests/test_pr_api.py | from django.test import TestCase
from django.urls import reverse
from rest_framework import status
from rest_framework.test import APIClient
from core.github_utils import GithubSingleton
PR_LINKED_ISSUE_URL = reverse('flowie:pr_linked_issue-view')
class PRLinkedIssuePublicAPI(TestCase):
"""Tests for PR Linked... | 0.430626 | 0.228071 |
import torch
import torchvision
import torch.nn.functional as F
import torchvision.datasets as datasets
import torchvision.transforms as transforms
from torch import optim
from torch import nn
from torch.utils.data import DataLoader
from tqdm import tqdm
# Set device
device = torch.device("cuda" if torch.cuda.is_... | RNN/Embedding/Embedding_RNN.py | import torch
import torchvision
import torch.nn.functional as F
import torchvision.datasets as datasets
import torchvision.transforms as transforms
from torch import optim
from torch import nn
from torch.utils.data import DataLoader
from tqdm import tqdm
# Set device
device = torch.device("cuda" if torch.cuda.is_... | 0.943458 | 0.753603 |
import datetime
import logging
import os
import sys
import time
from collections import namedtuple
import click
from dateutil.parser import parse
import requests
from mutualfunds import DailyNAVPS
LOGFILE = 'runtime.log'
TIMEOUT = 5
OUTDIR = 'Reports'
def stringify_date(date):
"""Convert datetime object into hu... | main.py | import datetime
import logging
import os
import sys
import time
from collections import namedtuple
import click
from dateutil.parser import parse
import requests
from mutualfunds import DailyNAVPS
LOGFILE = 'runtime.log'
TIMEOUT = 5
OUTDIR = 'Reports'
def stringify_date(date):
"""Convert datetime object into hu... | 0.207536 | 0.100834 |
from vitruncate import GT
from numpy import *
import matplotlib
from matplotlib import pyplot
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.patches as patches
pyplot.rc('font', size=16) #set defaults so that the plots are readable
pyplot.rc('axes', titlesize=16)
pyplot.rc('axes', labelsize=16)
pyplot.rc('x... | paper/figs.py | from vitruncate import GT
from numpy import *
import matplotlib
from matplotlib import pyplot
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.patches as patches
pyplot.rc('font', size=16) #set defaults so that the plots are readable
pyplot.rc('axes', titlesize=16)
pyplot.rc('axes', labelsize=16)
pyplot.rc('x... | 0.39257 | 0.641085 |
import json
import logging
import pysnooper as psn
from akshareinterface import Init, Index, Stocks, Futures, FuturesForeign, Options
logging.basicConfig(level=logging.DEBUG,format='[%(asctime)s] %(filename)s [line:%(lineno)d] \
[%(levelname)s] %(message)s', datefmt='%Y-%m-%d(%a) %H:%M:%S')
def tool_info()... | aksharetool.py | import json
import logging
import pysnooper as psn
from akshareinterface import Init, Index, Stocks, Futures, FuturesForeign, Options
logging.basicConfig(level=logging.DEBUG,format='[%(asctime)s] %(filename)s [line:%(lineno)d] \
[%(levelname)s] %(message)s', datefmt='%Y-%m-%d(%a) %H:%M:%S')
def tool_info()... | 0.241937 | 0.202502 |
from antlr4 import *
from io import StringIO
from typing.io import TextIO
import sys
from lexererr import *
def serializedATN():
with StringIO() as buf:
buf.write("\3\u608b\ua72a\u8133\ub9ed\u417c\u3be7\u7786\u5964\2\n")
buf.write("\61\b\1\4\2\t\2\4\3\t\3\4\4\t\4\4\5\t\5\4\6\t\6\4\7\t")
... | tutorial/week6/problem2/src/main/mc/parser/.antlr/MCLexer.py | from antlr4 import *
from io import StringIO
from typing.io import TextIO
import sys
from lexererr import *
def serializedATN():
with StringIO() as buf:
buf.write("\3\u608b\ua72a\u8133\ub9ed\u417c\u3be7\u7786\u5964\2\n")
buf.write("\61\b\1\4\2\t\2\4\3\t\3\4\4\t\4\4\5\t\5\4\6\t\6\4\7\t")
... | 0.408159 | 0.338979 |
from django.views.generic import TemplateView
from decharges.decharge.mixins import CheckConfigurationMixin, FederationRequiredMixin
from decharges.decharge.models import (
TempsDeDecharge,
UtilisationCreditDeTempsSyndicalPonctuel,
UtilisationTempsDecharge,
)
from decharges.decharge.views.utils import calc... | decharges/decharge/views/syndicats_a_relancer.py | from django.views.generic import TemplateView
from decharges.decharge.mixins import CheckConfigurationMixin, FederationRequiredMixin
from decharges.decharge.models import (
TempsDeDecharge,
UtilisationCreditDeTempsSyndicalPonctuel,
UtilisationTempsDecharge,
)
from decharges.decharge.views.utils import calc... | 0.414899 | 0.209348 |
import unittest
from bacpypes.debugging import bacpypes_debugging, ModuleLogger
from bacpypes.comm import ServiceAccessPoint, ApplicationServiceElement, bind
from ..trapped_classes import TrappedServiceAccessPoint, \
TrappedApplicationServiceElement
# some debugging
_debug = 0
_log = ModuleLogger(globals())
# g... | tests/test_utilities/test_service_access_point.py | import unittest
from bacpypes.debugging import bacpypes_debugging, ModuleLogger
from bacpypes.comm import ServiceAccessPoint, ApplicationServiceElement, bind
from ..trapped_classes import TrappedServiceAccessPoint, \
TrappedApplicationServiceElement
# some debugging
_debug = 0
_log = ModuleLogger(globals())
# g... | 0.396886 | 0.239891 |
from __future__ import unicode_literals
from django.conf import settings
from django.db import migrations, models
import django.utils.timezone
import tagging.fields
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
... | posts/migrations/0001_initial.py | from __future__ import unicode_literals
from django.conf import settings
from django.db import migrations, models
import django.utils.timezone
import tagging.fields
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
... | 0.57069 | 0.141815 |
from __future__ import print_function
import sys
from .util import is_a_tty
class ColorPrinterMeta(type):
def __init__(cls, *args, **kwargs):
def _make_methods(_color):
def _print(self, *a, **kw):
kw["color"] = _color
return self.print(*a, **kw)
d... | src/local_settings/color_printer.py | from __future__ import print_function
import sys
from .util import is_a_tty
class ColorPrinterMeta(type):
def __init__(cls, *args, **kwargs):
def _make_methods(_color):
def _print(self, *a, **kw):
kw["color"] = _color
return self.print(*a, **kw)
d... | 0.606382 | 0.117193 |
import zstackwoodpecker.test_util as test_util
import zstackwoodpecker.test_lib as test_lib
import zstackwoodpecker.test_state as test_state
import os
test_stub = test_lib.lib_get_test_stub()
test_obj_dict = test_state.TestStateDict()
def test():
test_util.test_dsc('Create test vm with EIP and check.')
... | integrationtest/vm/virtualrouter/eip/test_check_download_on_eip_vm.py | import zstackwoodpecker.test_util as test_util
import zstackwoodpecker.test_lib as test_lib
import zstackwoodpecker.test_state as test_state
import os
test_stub = test_lib.lib_get_test_stub()
test_obj_dict = test_state.TestStateDict()
def test():
test_util.test_dsc('Create test vm with EIP and check.')
... | 0.078124 | 0.353261 |
import datetime as dt
import copy
from enum import Enum
from dataclasses import dataclass, field
import uuid
from typing import List, Optional, Dict, cast
class VectorClockItem:
"""Stores the timestamp from a specific provider"""
provider_id: "str"
timestamp: "dt.datetime"
def __init__(self, provide... | maestro/core/metadata.py | import datetime as dt
import copy
from enum import Enum
from dataclasses import dataclass, field
import uuid
from typing import List, Optional, Dict, cast
class VectorClockItem:
"""Stores the timestamp from a specific provider"""
provider_id: "str"
timestamp: "dt.datetime"
def __init__(self, provide... | 0.930229 | 0.507019 |
import pytest
from eth_abi import encode_single
from eth_tester import exceptions
from web3 import Web3
ZERO_ADDRESS = "0x" + "0" * 40
SECRET = encode_single("bytes32", b"123456ab")
HASHED_SECRET = Web3.solidityKeccak(["bytes32"], [SECRET])
MAX_FEE = 2 ** 64 - 1
WEEK_SECONDS = 60 * 60 * 24 * 7
def get_events_of_con... | tests/test_tl_swap.py | import pytest
from eth_abi import encode_single
from eth_tester import exceptions
from web3 import Web3
ZERO_ADDRESS = "0x" + "0" * 40
SECRET = encode_single("bytes32", b"123456ab")
HASHED_SECRET = Web3.solidityKeccak(["bytes32"], [SECRET])
MAX_FEE = 2 ** 64 - 1
WEEK_SECONDS = 60 * 60 * 24 * 7
def get_events_of_con... | 0.677581 | 0.307235 |
import argparse
import sys
import logging
import time
import subprocess
import socket
import numpy
import dask
from distributed import Executor
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument(
"--tasks",
type=int,
default=1,
help="")
parser.add_argument(
"--task-time-s... | benchmarking/benchmark.py | import argparse
import sys
import logging
import time
import subprocess
import socket
import numpy
import dask
from distributed import Executor
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument(
"--tasks",
type=int,
default=1,
help="")
parser.add_argument(
"--task-time-s... | 0.282196 | 0.109992 |
from em import molecule
from em.dataset import metrics
from mpi4py import MPI
from mpi4py.futures import MPICommExecutor
from concurrent.futures import wait
import os
import argparse
import numpy as np
import pandas as pd
import copy
import json
from json import encoder
from skimage.measure import regionprops
import ... | em/src/dataset/data_augmentation.py | from em import molecule
from em.dataset import metrics
from mpi4py import MPI
from mpi4py.futures import MPICommExecutor
from concurrent.futures import wait
import os
import argparse
import numpy as np
import pandas as pd
import copy
import json
from json import encoder
from skimage.measure import regionprops
import ... | 0.351089 | 0.297291 |
from django.contrib.auth import authenticate
from django import forms
from django.contrib.auth import get_user_model
from django.core.exceptions import ValidationError
from django.urls import reverse
from django.utils.safestring import mark_safe
from .models import Profile, Device
from phonenumber_field.formfields imp... | accounts/forms.py | from django.contrib.auth import authenticate
from django import forms
from django.contrib.auth import get_user_model
from django.core.exceptions import ValidationError
from django.urls import reverse
from django.utils.safestring import mark_safe
from .models import Profile, Device
from phonenumber_field.formfields imp... | 0.53048 | 0.090333 |
import os
from urllib.request import urlopen
import requests
import tarfile
import pandas as pd
from typing import List
from tqdm import tqdm
from microsim.column_names import ColumnNames
class Optimise:
"""
Functions to optimise the memory use of pandas dataframes.
From https://medium.com/bigdatarepubli... | microsim/utilities.py | import os
from urllib.request import urlopen
import requests
import tarfile
import pandas as pd
from typing import List
from tqdm import tqdm
from microsim.column_names import ColumnNames
class Optimise:
"""
Functions to optimise the memory use of pandas dataframes.
From https://medium.com/bigdatarepubli... | 0.710628 | 0.371593 |
import numpy as np
class WeightInitializer:
def compute_fans(self, shape):
"""
func: compute_fans adapted from keras: https://github.com/fchollet/keras/blob/master/keras/initializers.py
copyright held by fchollet(keras-team), 2017 as part of Keras project
licence: MIT
""... | ztlearn/initializers.py |
import numpy as np
class WeightInitializer:
def compute_fans(self, shape):
"""
func: compute_fans adapted from keras: https://github.com/fchollet/keras/blob/master/keras/initializers.py
copyright held by fchollet(keras-team), 2017 as part of Keras project
licence: MIT
""... | 0.955371 | 0.701541 |
import os
import sys
import csv
import random
import pandas as pd
import numpy as np
_thisDir = os.path.dirname(os.path.abspath(__file__)).decode(sys.getfilesystemencoding())
_parentDir = os.path.abspath(os.path.join(_thisDir, os.pardir))
dataDir = _parentDir + '/data/'
def get_trivia():
questions = pd.read_csv(_thi... | kangacuriositytask/utils.py | import os
import sys
import csv
import random
import pandas as pd
import numpy as np
_thisDir = os.path.dirname(os.path.abspath(__file__)).decode(sys.getfilesystemencoding())
_parentDir = os.path.abspath(os.path.join(_thisDir, os.pardir))
dataDir = _parentDir + '/data/'
def get_trivia():
questions = pd.read_csv(_thi... | 0.081918 | 0.169543 |
"""Service functions to handle athena connections."""
from django.template.loader import render_to_string
from django.urls import reverse
from django.utils.translation import ugettext_lazy as _
from ontask import models
from ontask.connection.services.crud import (
ConnectionTableAdmin, ConnectionTableSelect,
)
f... | ontask/connection/services/athena.py |
"""Service functions to handle athena connections."""
from django.template.loader import render_to_string
from django.urls import reverse
from django.utils.translation import ugettext_lazy as _
from ontask import models
from ontask.connection.services.crud import (
ConnectionTableAdmin, ConnectionTableSelect,
)
f... | 0.806434 | 0.227748 |
import math
import cv2
import numpy as np
from tqdm import tqdm
from .base import Eval
class SRN(Eval):
'''Tests SRN
'''
def __init__(self, dataset, model, ms=False, max_downsample=1):
super(SRN, self).__init__(dataset, model, ms, max_downsample)
def multi_scale_testing(self):
large... | eval_core/srn.py | import math
import cv2
import numpy as np
from tqdm import tqdm
from .base import Eval
class SRN(Eval):
'''Tests SRN
'''
def __init__(self, dataset, model, ms=False, max_downsample=1):
super(SRN, self).__init__(dataset, model, ms, max_downsample)
def multi_scale_testing(self):
large... | 0.409575 | 0.160661 |
import dateutil.tz
from datetime import datetime, date, timedelta
import pytz
from django.conf import settings
from django.db.models.functions import TruncDay
from django.utils.lru_cache import lru_cache
from manabi.apps.flashcards.models import CardHistory
_WEEKS_TO_REPORT = 9
def _start_of_today(user_timezone):... | manabi/apps/review_results/models.py | import dateutil.tz
from datetime import datetime, date, timedelta
import pytz
from django.conf import settings
from django.db.models.functions import TruncDay
from django.utils.lru_cache import lru_cache
from manabi.apps.flashcards.models import CardHistory
_WEEKS_TO_REPORT = 9
def _start_of_today(user_timezone):... | 0.651133 | 0.203628 |
import json
import warnings
import requests
from .exceptions import (
InvalidSearchParamException,
InvalidVersionException,
InvalidUseFirstNameAliasException,
InvalidAddressPurposeException,
NPyIException,
)
BASE_URI = "https://npiregistry.cms.hhs.gov/api/"
VALID_SEARCH_PARAMS = (
"number",
... | npyi/npi.py | import json
import warnings
import requests
from .exceptions import (
InvalidSearchParamException,
InvalidVersionException,
InvalidUseFirstNameAliasException,
InvalidAddressPurposeException,
NPyIException,
)
BASE_URI = "https://npiregistry.cms.hhs.gov/api/"
VALID_SEARCH_PARAMS = (
"number",
... | 0.699562 | 0.200597 |
from dataclasses import dataclass
from datetime import datetime
from typing import Union
from json import dumps
from aiohttp import FormData
from ..errors.message import SendMessageFailed
from ..errors.channel import *
@dataclass
class Guild:
"""Guild class.
Args:
client (Client): Krema client.
... | src/models/guild.py | from dataclasses import dataclass
from datetime import datetime
from typing import Union
from json import dumps
from aiohttp import FormData
from ..errors.message import SendMessageFailed
from ..errors.channel import *
@dataclass
class Guild:
"""Guild class.
Args:
client (Client): Krema client.
... | 0.890634 | 0.194081 |
from django.urls import reverse
from rest_framework import status
from rest_framework.test import APITestCase
import json
class ApiTests(APITestCase):
fixtures = ['test.json']
def test_root_view_contains_link_to_documentation(self):
url = reverse('root')
response = self.client.get(url)
... | ticketapi/api/tests.py | from django.urls import reverse
from rest_framework import status
from rest_framework.test import APITestCase
import json
class ApiTests(APITestCase):
fixtures = ['test.json']
def test_root_view_contains_link_to_documentation(self):
url = reverse('root')
response = self.client.get(url)
... | 0.494385 | 0.228253 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import sys
sys.path.append('./gen-py')
from FacePi.ttypes import PersonEntry
import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
import tensorflow as tf
from tensorflow.python.platform import gfile... | FacePi/src/FaceRecognition/TensorFlow/startTensor.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import sys
sys.path.append('./gen-py')
from FacePi.ttypes import PersonEntry
import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
import tensorflow as tf
from tensorflow.python.platform import gfile... | 0.356895 | 0.058239 |
import numpy as np
import matplotlib.pyplot as plt
plt.ion()
#load dataset
dataset = open('../data/input.txt','r').read()
len_of_dataset = len(dataset)
print('length of dataset:',len_of_dataset)
vocab = set(dataset)
len_of_vocab = len(vocab)
print('length of vocab:',len_of_vocab)
char_to_idx = {char:idx for idx,cha... | code/lstm_with_peephole_connections.py | import numpy as np
import matplotlib.pyplot as plt
plt.ion()
#load dataset
dataset = open('../data/input.txt','r').read()
len_of_dataset = len(dataset)
print('length of dataset:',len_of_dataset)
vocab = set(dataset)
len_of_vocab = len(vocab)
print('length of vocab:',len_of_vocab)
char_to_idx = {char:idx for idx,cha... | 0.180431 | 0.326728 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
__all__ = [
'LedgerTagArgs',
'StreamKinesisConfigurationArgs',
'StreamTagArgs',
]
@pulumi.input_type
class LedgerTagArgs:
def __init__(__self__, *,
... | sdk/python/pulumi_aws_native/qldb/_inputs.py |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
__all__ = [
'LedgerTagArgs',
'StreamKinesisConfigurationArgs',
'StreamTagArgs',
]
@pulumi.input_type
class LedgerTagArgs:
def __init__(__self__, *,
... | 0.870638 | 0.083255 |
import numpy as np
import pandas as pd
from sklearn.linear_model import LinearRegression
from sklearn.svm import SVR
from sklearn.tree import DecisionTreeClassifier
from sklearn.ensemble import RandomForestClassifier
from sklearn.neural_network import MLPClassifier
from xgboost import XGBRFClassifier
from lightgbm impo... | baseline_model_classifier.py | import numpy as np
import pandas as pd
from sklearn.linear_model import LinearRegression
from sklearn.svm import SVR
from sklearn.tree import DecisionTreeClassifier
from sklearn.ensemble import RandomForestClassifier
from sklearn.neural_network import MLPClassifier
from xgboost import XGBRFClassifier
from lightgbm impo... | 0.621885 | 0.28768 |
import requests
from eth_utils import to_hex
from raiden.constants import DEFAULT_HTTP_REQUEST_TIMEOUT
from raiden.exceptions import ServiceRequestFailed
from raiden.utils import typing
from raiden_contracts.utils.proofs import sign_one_to_n_iou
def get_pfs_info(url: str) -> typing.Optional[typing.Dict]:
try:
... | raiden/network/pathfinding.py | import requests
from eth_utils import to_hex
from raiden.constants import DEFAULT_HTTP_REQUEST_TIMEOUT
from raiden.exceptions import ServiceRequestFailed
from raiden.utils import typing
from raiden_contracts.utils.proofs import sign_one_to_n_iou
def get_pfs_info(url: str) -> typing.Optional[typing.Dict]:
try:
... | 0.601125 | 0.10316 |
import xml.etree.ElementTree as ET
parsers = {}
def getParser(langPath):
global parsers
if langPath not in parsers:
parsers[langPath] = Parser(langPath)
return parsers[langPath]
class Parser:
def __init__(self, langPath):
#Initialize variables
self.syllables = set()
sel... | SyllableParser/parser.py | import xml.etree.ElementTree as ET
parsers = {}
def getParser(langPath):
global parsers
if langPath not in parsers:
parsers[langPath] = Parser(langPath)
return parsers[langPath]
class Parser:
def __init__(self, langPath):
#Initialize variables
self.syllables = set()
sel... | 0.450843 | 0.16872 |
import csv
import datetime
import FileUtil
import json
import os
import sys
from com.ziclix.python.sql import zxJDBC
from org.slf4j import LoggerFactory
from wherehows.common import Constant
class OracleExtract:
table_dict = {}
table_output_list = []
field_output_list = []
sample_output_list = []
ignored... | wherehows-etl/src/main/resources/jython/OracleExtract.py |
import csv
import datetime
import FileUtil
import json
import os
import sys
from com.ziclix.python.sql import zxJDBC
from org.slf4j import LoggerFactory
from wherehows.common import Constant
class OracleExtract:
table_dict = {}
table_output_list = []
field_output_list = []
sample_output_list = []
ignored... | 0.301362 | 0.103341 |
import bisect
import os
import sys
EXPORT_RDR = True
try:
import rosbag
except ImportError, e:
print 'Failed to import rosbag, not exporting radar'
EXPORT_RDR = False
sys.path.append('../process')
from GPSReader import GPSReader
class FrameFinder:
""" Creates a mapping from cloud to frames.
"""... | lidar/FrameFinder.py |
import bisect
import os
import sys
EXPORT_RDR = True
try:
import rosbag
except ImportError, e:
print 'Failed to import rosbag, not exporting radar'
EXPORT_RDR = False
sys.path.append('../process')
from GPSReader import GPSReader
class FrameFinder:
""" Creates a mapping from cloud to frames.
"""... | 0.26218 | 0.22288 |
from dolfin import *
from dolfin_adjoint import *
import numpy as np
from scipy import io
import ufl
set_log_level(LogLevel.ERROR)
from preprocessing import Preprocessing
from ipopt_solver import IPOPTSolver, IPOPTProblem
import Hs_regularization as Hs_reg
try:
from pyadjoint import ipopt # noqa: F401
except Im... | topopt/topopt.py | from dolfin import *
from dolfin_adjoint import *
import numpy as np
from scipy import io
import ufl
set_log_level(LogLevel.ERROR)
from preprocessing import Preprocessing
from ipopt_solver import IPOPTSolver, IPOPTProblem
import Hs_regularization as Hs_reg
try:
from pyadjoint import ipopt # noqa: F401
except Im... | 0.504883 | 0.422981 |
from __future__ import (print_function, division, absolute_import, unicode_literals)
from django.test import TestCase
from django.contrib.auth import get_user_model
from django.contrib.contenttypes.models import ContentType
from ..models import Badge, FUNCTION_WITH_RELATED_MODEL, UserBadge
from ..badge_registry impor... | badgificator/tests/test_functions_condition.py | from __future__ import (print_function, division, absolute_import, unicode_literals)
from django.test import TestCase
from django.contrib.auth import get_user_model
from django.contrib.contenttypes.models import ContentType
from ..models import Badge, FUNCTION_WITH_RELATED_MODEL, UserBadge
from ..badge_registry impor... | 0.382949 | 0.18543 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import time
import codecs
import shutil
import zipfile
import requests
__all__ = [
"wget", "unzip", "rm", "mkdir", "rmdir", "mv"
]
_CURRENT_FILE = os.path.dirname(__file__)
def wget(url, sa... | PyCLUE/utils/utils/file_utils.py |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import time
import codecs
import shutil
import zipfile
import requests
__all__ = [
"wget", "unzip", "rm", "mkdir", "rmdir", "mv"
]
_CURRENT_FILE = os.path.dirname(__file__)
def wget(url, sa... | 0.338077 | 0.069479 |
import sys
from pathlib import Path
from collections import Counter
from django.core.management.base import BaseCommand, CommandError
from django.db.utils import DataError, OperationalError, IntegrityError
from django_lr_loader.models import LightroomCatalog, LightroomImageFileInfo, ImageToFileInfo
from django_fs_searc... | django_lr_loader/management/commands/match_images_to_file_system.py | import sys
from pathlib import Path
from collections import Counter
from django.core.management.base import BaseCommand, CommandError
from django.db.utils import DataError, OperationalError, IntegrityError
from django_lr_loader.models import LightroomCatalog, LightroomImageFileInfo, ImageToFileInfo
from django_fs_searc... | 0.207455 | 0.157169 |
import random
from django.core import validators
from django.core.exceptions import ValidationError
from django.db import models
from django.forms.models import model_to_dict
from model_utils.models import TimeFramedModel, TimeStampedModel
from s3direct.fields import S3DirectField
# pylint: disable=cyclic-import
fr... | will_of_the_prophets/models.py |
import random
from django.core import validators
from django.core.exceptions import ValidationError
from django.db import models
from django.forms.models import model_to_dict
from model_utils.models import TimeFramedModel, TimeStampedModel
from s3direct.fields import S3DirectField
# pylint: disable=cyclic-import
fr... | 0.747432 | 0.197406 |
from __future__ import absolute_import, division, print_function
import logging as log
from traceback import format_exc
from pprint import pformat
from . import FormatProvider, providers
__all__ = ['DictFormatProvider']
class DictFormatProvider(FormatProvider):
"""
Python dictionary format provider.
... | lib/confspec/providers/dict.py | from __future__ import absolute_import, division, print_function
import logging as log
from traceback import format_exc
from pprint import pformat
from . import FormatProvider, providers
__all__ = ['DictFormatProvider']
class DictFormatProvider(FormatProvider):
"""
Python dictionary format provider.
... | 0.668231 | 0.092237 |
import django.core.validators
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
("polaris", "0002_auto_20191125_1829"),
]
operations = [
migrations.AlterField(
model_name="asset",
name="deposit_fee_fixed",
... | polaris/polaris/migrations/0003_auto_20191211_1512.py |
import django.core.validators
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
("polaris", "0002_auto_20191125_1829"),
]
operations = [
migrations.AlterField(
model_name="asset",
name="deposit_fee_fixed",
... | 0.626924 | 0.195095 |
import ast
import os
import math
import profiler as profiler
class KNN:
def __init__(self, kValue):
self.K=kValue
def classify(self, newProfile):
existingProfiles=open('results/authorProfiles.txt')
allDistances=dict()
for lines in existingProfiles:
lines=lines.strip()
existingProfile=ast.literal_eval(... | src/kNN.py | import ast
import os
import math
import profiler as profiler
class KNN:
def __init__(self, kValue):
self.K=kValue
def classify(self, newProfile):
existingProfiles=open('results/authorProfiles.txt')
allDistances=dict()
for lines in existingProfiles:
lines=lines.strip()
existingProfile=ast.literal_eval(... | 0.06469 | 0.092401 |
import gzip
import logging
from finntk.utils import ResourceMan, urlretrieve
from finntk.vendor.conceptnet5.uri import concept_uri
from shutil import copyfileobj
import os
from .base import MultilingualVectorSpace, RefType
from .utils import get, get_tmpfile, load_word2vec_format, load
logger = logging.getLogger(__nam... | finntk/emb/numberbatch.py | import gzip
import logging
from finntk.utils import ResourceMan, urlretrieve
from finntk.vendor.conceptnet5.uri import concept_uri
from shutil import copyfileobj
import os
from .base import MultilingualVectorSpace, RefType
from .utils import get, get_tmpfile, load_word2vec_format, load
logger = logging.getLogger(__nam... | 0.386185 | 0.077169 |
import gtk
import gobject
COLUMN_NUMBER = 0
COLUMN_STRING = 1
COLUMN_BOOL = 2
data = [
[ 1, 'first row', True ],
[ 2, 'second row', True ],
[ 3, 'third row', True ],
[ 4, 'fourth row', True ],
[ 5, 'fifth row', True ],
[ 6, 'sixth row', True ],
[ 7, 'seventh row', None ],
[ 8, 'eigth r... | test/samples/gtk/gtkliststore.py | import gtk
import gobject
COLUMN_NUMBER = 0
COLUMN_STRING = 1
COLUMN_BOOL = 2
data = [
[ 1, 'first row', True ],
[ 2, 'second row', True ],
[ 3, 'third row', True ],
[ 4, 'fourth row', True ],
[ 5, 'fifth row', True ],
[ 6, 'sixth row', True ],
[ 7, 'seventh row', None ],
[ 8, 'eigth r... | 0.219087 | 0.218836 |
from typing import Dict, Optional, Tuple
import torch
from torch import Tensor
from torch.distributions import Distribution
from torch.optim import RMSprop
from memory import Memory
from policy import Policy
class Agent():
def __init__(self, observation_size: int, action_size: int, goal_size: int, hidden_size: in... | agent.py | from typing import Dict, Optional, Tuple
import torch
from torch import Tensor
from torch.distributions import Distribution
from torch.optim import RMSprop
from memory import Memory
from policy import Policy
class Agent():
def __init__(self, observation_size: int, action_size: int, goal_size: int, hidden_size: in... | 0.956462 | 0.621024 |
from antlr4 import *
from io import StringIO
from typing.io import TextIO
import sys
def serializedATN():
with StringIO() as buf:
buf.write("\3\u608b\ua72a\u8133\ub9ed\u417c\u3be7\u7786\u5964\28")
buf.write("\u0163\b\1\4\2\t\2\4\3\t\3\4\4\t\4\4\5\t\5\4\6\t\6\4\7")
buf.write("\t\7\4\b\t\b\4... | grammar/sdplLexer.py | from antlr4 import *
from io import StringIO
from typing.io import TextIO
import sys
def serializedATN():
with StringIO() as buf:
buf.write("\3\u608b\ua72a\u8133\ub9ed\u417c\u3be7\u7786\u5964\28")
buf.write("\u0163\b\1\4\2\t\2\4\3\t\3\4\4\t\4\4\5\t\5\4\6\t\6\4\7")
buf.write("\t\7\4\b\t\b\4... | 0.284874 | 0.332256 |
import validators
from itertools import chain
from typing import Set, Union
import urlfinderlib.helpers as helpers
import urlfinderlib.tokenizer as tokenizer
from urlfinderlib.url import URLList
class TextUrlFinder:
def __init__(self, blob: Union[bytes, str]):
if isinstance(blob, str):
blob... | urlfinderlib/finders/text.py | import validators
from itertools import chain
from typing import Set, Union
import urlfinderlib.helpers as helpers
import urlfinderlib.tokenizer as tokenizer
from urlfinderlib.url import URLList
class TextUrlFinder:
def __init__(self, blob: Union[bytes, str]):
if isinstance(blob, str):
blob... | 0.63624 | 0.195729 |
from sleekxmpp.plugins.base import base_plugin
from rhobot.components.configuration import BotConfiguration
from rhobot.components.storage import StoragePayload
from foursquare_bot.components.configuration_enums import CLIENT_SECRET_KEY, IDENTIFIER_KEY
from foursquare_bot.components.utilities import get_foursquare_venu... | foursquare_bot/components/foursquare_lookup.py | from sleekxmpp.plugins.base import base_plugin
from rhobot.components.configuration import BotConfiguration
from rhobot.components.storage import StoragePayload
from foursquare_bot.components.configuration_enums import CLIENT_SECRET_KEY, IDENTIFIER_KEY
from foursquare_bot.components.utilities import get_foursquare_venu... | 0.610221 | 0.106226 |
from __future__ import annotations
import logging
import uuid
from copy import deepcopy
from typing import (
TYPE_CHECKING,
Any,
AsyncIterator,
Dict,
Iterator,
List,
Optional,
Type,
Union,
)
from algoliasearch.search_client import SearchClient
if TYPE_CHECKING:
from types impo... | astropylibrarian/algolia/client.py | from __future__ import annotations
import logging
import uuid
from copy import deepcopy
from typing import (
TYPE_CHECKING,
Any,
AsyncIterator,
Dict,
Iterator,
List,
Optional,
Type,
Union,
)
from algoliasearch.search_client import SearchClient
if TYPE_CHECKING:
from types impo... | 0.913845 | 0.204898 |
# Commented out IPython magic to ensure Python compatibility.
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
# %matplotlib inline
data = pd.read_csv("london_merged.csv")
data
"""Metadata:
- "timestamp" - timestamp field for grouping the data
- "cnt" - the count of a new bike shares
- "t1" - r... | London Bike Share Usage Prediction/london_bike_sharing_usage_prediction.py | # Commented out IPython magic to ensure Python compatibility.
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
# %matplotlib inline
data = pd.read_csv("london_merged.csv")
data
"""Metadata:
- "timestamp" - timestamp field for grouping the data
- "cnt" - the count of a new bike shares
- "t1" - r... | 0.639961 | 0.611121 |
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
plt.style.use('seaborn-darkgrid')
import argparse
import csv
import os
import sys
import pickle
import numpy as np
import pandas as pd
from os.path import join
from collections import defaultdict
# matplotlib
titlesize = 33
xsize = 30
ysize = 30
t... | scripts/mujoco_results.py | import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
plt.style.use('seaborn-darkgrid')
import argparse
import csv
import os
import sys
import pickle
import numpy as np
import pandas as pd
from os.path import join
from collections import defaultdict
# matplotlib
titlesize = 33
xsize = 30
ysize = 30
t... | 0.547706 | 0.408985 |
import cv2
import numpy as np
from ..adapters import Adapter
from ..config import StringField
from ..representation import BackgroundMattingPrediction
class ImageBackgroundMattingAdapter(Adapter):
__provider__ = 'background_matting_with_pha_and_fgr'
def process(self, raw, identifiers, frame_meta):
i... | tools/accuracy_checker/openvino/tools/accuracy_checker/adapters/background_matting.py | import cv2
import numpy as np
from ..adapters import Adapter
from ..config import StringField
from ..representation import BackgroundMattingPrediction
class ImageBackgroundMattingAdapter(Adapter):
__provider__ = 'background_matting_with_pha_and_fgr'
def process(self, raw, identifiers, frame_meta):
i... | 0.550849 | 0.233368 |
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('climatemodels', '0094_auto_20190404_0854'),
]
operations = [
migrations.AddField(
model_name='biomes',
name='compute_soil_ca... | isi_mip/climatemodels/migrations/0095_auto_20190408_1053.py | from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('climatemodels', '0094_auto_20190404_0854'),
]
operations = [
migrations.AddField(
model_name='biomes',
name='compute_soil_ca... | 0.705075 | 0.211173 |
import nltk
import sys
import os
import string
import math
FILE_MATCHES = 1
SENTENCE_MATCHES = 1
def main():
# Check command-line arguments
if len(sys.argv) != 2:
sys.exit("Usage: python questions.py corpus")
# Calculate IDF values across files
files = load_files(sys.argv[1])
file_words... | Intro To Artificial Intelligence/Projects/week6/questions/questions.py | import nltk
import sys
import os
import string
import math
FILE_MATCHES = 1
SENTENCE_MATCHES = 1
def main():
# Check command-line arguments
if len(sys.argv) != 2:
sys.exit("Usage: python questions.py corpus")
# Calculate IDF values across files
files = load_files(sys.argv[1])
file_words... | 0.501221 | 0.432303 |
from __future__ import division
from collections import namedtuple
import math
Vector3 = namedtuple('Vector3', ['x', 'y', 'z'])
Vector2 = namedtuple('Vector2', ['x', 'y'])
def crossProduct(a, b):
""" return normalized cross product
"""
x = a.y*b.z - a.z*b.y
y = -(a.x*b.z - a.z*b.x)
z = a.x*b.y -... | cadnano/extras/math/vector.py | from __future__ import division
from collections import namedtuple
import math
Vector3 = namedtuple('Vector3', ['x', 'y', 'z'])
Vector2 = namedtuple('Vector2', ['x', 'y'])
def crossProduct(a, b):
""" return normalized cross product
"""
x = a.y*b.z - a.z*b.y
y = -(a.x*b.z - a.z*b.x)
z = a.x*b.y -... | 0.72027 | 0.746486 |
import h5py, yaml, re, cPickle, shutil
from control4.misc.console_utils import mkdirp,yes_or_no
from collections import OrderedDict
import os.path as osp
class ScriptRun(object):
def __init__(self, info, script_name, run_idx, out_root):
info = info.copy()
self.info = info
self.script_name ... | control4/bench/bench.py | import h5py, yaml, re, cPickle, shutil
from control4.misc.console_utils import mkdirp,yes_or_no
from collections import OrderedDict
import os.path as osp
class ScriptRun(object):
def __init__(self, info, script_name, run_idx, out_root):
info = info.copy()
self.info = info
self.script_name ... | 0.199854 | 0.140395 |
import torch
import torch.nn as nn
import numpy as np
import copy
from typing import Any, ClassVar, Dict, List, Optional, Sequence, Type, Union
from d3rlpy.models.encoders import EncoderFactory, Encoder, VectorEncoderWithAction, _create_activation, VectorEncoder
class CustomVectorEncoder(VectorEncoder):
def __in... | rl4rs/nets/cql/encoder.py | import torch
import torch.nn as nn
import numpy as np
import copy
from typing import Any, ClassVar, Dict, List, Optional, Sequence, Type, Union
from d3rlpy.models.encoders import EncoderFactory, Encoder, VectorEncoderWithAction, _create_activation, VectorEncoder
class CustomVectorEncoder(VectorEncoder):
def __in... | 0.95156 | 0.460532 |
from timo.decorators import timer
from timo.utils import colored_print
from timo.utils import equals
from timo.utils import get_command_black_list
from typing import List
from typing import NoReturn
import platform
import subprocess
import shlex
class CommandRunner(object):
"""Perform tests."""
def _convert_... | timo/test_manager/command_runner.py | from timo.decorators import timer
from timo.utils import colored_print
from timo.utils import equals
from timo.utils import get_command_black_list
from typing import List
from typing import NoReturn
import platform
import subprocess
import shlex
class CommandRunner(object):
"""Perform tests."""
def _convert_... | 0.806777 | 0.2194 |
from viperid import app
import unittest
class ViperidTestCase(unittest.TestCase):
contract_1 = {
'code': 'def foo(x: num) -> num:\n return x * 2'
}
def setUp(self):
app.testing = True
def test_compile_to_abi(self):
result = {'result': [{'constant': False, 'inputs': [{'name... | backend/tests/tests_viperid.py | from viperid import app
import unittest
class ViperidTestCase(unittest.TestCase):
contract_1 = {
'code': 'def foo(x: num) -> num:\n return x * 2'
}
def setUp(self):
app.testing = True
def test_compile_to_abi(self):
result = {'result': [{'constant': False, 'inputs': [{'name... | 0.445288 | 0.485478 |
import random
from tools import binExtend, crc
class networkLayer(object):
"""
networkLayer:ip package ipv4
"""
def __init__(self):
super(networkLayer, self).__init__()
self.outEncodeData = []
# self.outDecodeData = []
self.pacSize = 146*8 + 32*5
self.ipHeaderDict = {}
self.ipHeader = []
def netEncode... | chatroom/layers/networkLayer.py | import random
from tools import binExtend, crc
class networkLayer(object):
"""
networkLayer:ip package ipv4
"""
def __init__(self):
super(networkLayer, self).__init__()
self.outEncodeData = []
# self.outDecodeData = []
self.pacSize = 146*8 + 32*5
self.ipHeaderDict = {}
self.ipHeader = []
def netEncode... | 0.149904 | 0.258718 |
import numpy as np
import epipack as epk
import numpy as np
import networkx as nx
def make_equal_length(arr_list):
maxlen = max([len(a) for a in arr_list])
new_arr_list = []
for a in arr_list:
dL = maxlen - len(a)
if dL > 0:
newa = np.concatenate((a, np.ones(dL)*a[-1]))
... | analysis_collection/tracing_sim/results_toy_model/simulation.py | import numpy as np
import epipack as epk
import numpy as np
import networkx as nx
def make_equal_length(arr_list):
maxlen = max([len(a) for a in arr_list])
new_arr_list = []
for a in arr_list:
dL = maxlen - len(a)
if dL > 0:
newa = np.concatenate((a, np.ones(dL)*a[-1]))
... | 0.181372 | 0.266229 |
import numpy as np
from torch import nn
from torch.nn import functional as F
class CELEBAgenerator(nn.Module):
def __init__(self, args):
super(CELEBAgenerator, self).__init__()
self._name = 'celebaG'
self.shape = (64, 64, 3)
self.dim = args.dim
preprocess = nn.Sequential(
... | generators.py | import numpy as np
from torch import nn
from torch.nn import functional as F
class CELEBAgenerator(nn.Module):
def __init__(self, args):
super(CELEBAgenerator, self).__init__()
self._name = 'celebaG'
self.shape = (64, 64, 3)
self.dim = args.dim
preprocess = nn.Sequential(
... | 0.957368 | 0.42483 |
import sqlalchemy
import sqlalchemy.orm
from sqlalchemy.ext.declarative import declarative_base
Base = declarative_base()
class Student(Base): # type: ignore
__tablename__ = 'student'
id = sqlalchemy.Column(sqlalchemy.Integer, primary_key=True)
name = sqlalchemy.Column(sqlalchemy.String(250), nullable=F... | src/grader_toolkit/gradebook.py | import sqlalchemy
import sqlalchemy.orm
from sqlalchemy.ext.declarative import declarative_base
Base = declarative_base()
class Student(Base): # type: ignore
__tablename__ = 'student'
id = sqlalchemy.Column(sqlalchemy.Integer, primary_key=True)
name = sqlalchemy.Column(sqlalchemy.String(250), nullable=F... | 0.376738 | 0.112967 |
from .tool.func import *
def main_func_setting_main(db_set):
with get_db_connect() as conn:
curs = conn.cursor()
if admin_check() != 1:
return re_error('/ban')
setting_list = {
0 : ['name', 'Wiki'],
2 : ['frontpage', 'FrontPage'],
4 ... | route/main_func_setting_main.py | from .tool.func import *
def main_func_setting_main(db_set):
with get_db_connect() as conn:
curs = conn.cursor()
if admin_check() != 1:
return re_error('/ban')
setting_list = {
0 : ['name', 'Wiki'],
2 : ['frontpage', 'FrontPage'],
4 ... | 0.248899 | 0.20834 |
from typing import Union, List, Tuple, Dict, Any
from psycopg2 import sql, extensions
from general_utils.postgres_utils import LocalhostCursor
from general_utils.type_helpers import validate_is_int
class Field(sql.Identifier):
"""
A composable instance for a field that allows it to work as an element in a q... | general_utils/sql_utils.py | from typing import Union, List, Tuple, Dict, Any
from psycopg2 import sql, extensions
from general_utils.postgres_utils import LocalhostCursor
from general_utils.type_helpers import validate_is_int
class Field(sql.Identifier):
"""
A composable instance for a field that allows it to work as an element in a q... | 0.910613 | 0.468912 |
import re
import sys
if sys.version < '3':
def u(x):
return x.decode('utf-8')
else:
unicode = str
def u(x):
return x
# Matches section start `interfaces {`
rx_section = re.compile(r'^([\w\-]+) \{$', re.UNICODE)
# Matches named section `ethernet eth0 {`
rx_named_section = re.compile(
... | vyattaconfparser/parser.py | import re
import sys
if sys.version < '3':
def u(x):
return x.decode('utf-8')
else:
unicode = str
def u(x):
return x
# Matches section start `interfaces {`
rx_section = re.compile(r'^([\w\-]+) \{$', re.UNICODE)
# Matches named section `ethernet eth0 {`
rx_named_section = re.compile(
... | 0.250088 | 0.402275 |
import paddle
import paddle.nn as nn
import paddle.nn.functional as F
from paddle.vision.models import vgg16
from ppcd.models.layers import CAM, SAM
class Vgg16Base(nn.Layer):
# Vgg16 feature extraction backbone
def __init__(self, in_channels=3):
super(Vgg16Base, self).__init__()
features = vg... | ppcd/models/dsifn.py | import paddle
import paddle.nn as nn
import paddle.nn.functional as F
from paddle.vision.models import vgg16
from ppcd.models.layers import CAM, SAM
class Vgg16Base(nn.Layer):
# Vgg16 feature extraction backbone
def __init__(self, in_channels=3):
super(Vgg16Base, self).__init__()
features = vg... | 0.923212 | 0.291378 |
from pathlib import Path
from typing import Union, Optional
from collections import OrderedDict
import re
import math
import torch
from .. import Results as Results_
# old Results class
class Results:
"""Class representing BCN training results.
Attributes:
epoch (int): The number of epochs the BCN model ... | bcn/v0/compat.py | from pathlib import Path
from typing import Union, Optional
from collections import OrderedDict
import re
import math
import torch
from .. import Results as Results_
# old Results class
class Results:
"""Class representing BCN training results.
Attributes:
epoch (int): The number of epochs the BCN model ... | 0.950698 | 0.439567 |
from ..base import disk
from infi.pyutils.lazy import cached_method
# pylint: disable=R0921
class LinuxDiskDrive(disk.DiskDrive):
def __init__(self, storage_device, scsi_disk_path):
super(LinuxDiskDrive, self).__init__()
self._storage_device = storage_device
self._scsi_disk_path = scsi_dis... | src/infi/storagemodel/linux/disk.py | from ..base import disk
from infi.pyutils.lazy import cached_method
# pylint: disable=R0921
class LinuxDiskDrive(disk.DiskDrive):
def __init__(self, storage_device, scsi_disk_path):
super(LinuxDiskDrive, self).__init__()
self._storage_device = storage_device
self._scsi_disk_path = scsi_dis... | 0.459076 | 0.088347 |
import re
import os
from git import Repo, InvalidGitRepositoryError, NoSuchPathError
from elifetools import utils as etoolsutils
def repl(match):
"Convert hex to int to unicode character"
chr_code = int(match.group(1), 16)
return chr(chr_code)
def entity_to_unicode(string):
"""
Quick convert uni... | elifearticle/utils.py | import re
import os
from git import Repo, InvalidGitRepositoryError, NoSuchPathError
from elifetools import utils as etoolsutils
def repl(match):
"Convert hex to int to unicode character"
chr_code = int(match.group(1), 16)
return chr(chr_code)
def entity_to_unicode(string):
"""
Quick convert uni... | 0.439026 | 0.254932 |
from threading import Thread
import cv2
import numpy as np
from pyzbar.pyzbar import decode
from typing import List, Any, Union
from security.database.firestore import Firestore
from security.user.user import User
from security.tts.messages import Messages
from security.tts.text_to_speech import TTS
from .util import ... | security/recognition/qr_recognizer.py | from threading import Thread
import cv2
import numpy as np
from pyzbar.pyzbar import decode
from typing import List, Any, Union
from security.database.firestore import Firestore
from security.user.user import User
from security.tts.messages import Messages
from security.tts.text_to_speech import TTS
from .util import ... | 0.795539 | 0.192065 |
import logging
import six.moves.urllib as urllib
from algosec.api_clients.base import SoapAPIClient
from algosec.errors import AlgoSecLoginError, AlgoSecAPIError
from algosec.helpers import report_soap_failure
logger = logging.getLogger(__name__)
class FireFlowAPIClient(SoapAPIClient):
"""*FireFlow* SOAP API c... | algosec/api_clients/fire_flow.py | import logging
import six.moves.urllib as urllib
from algosec.api_clients.base import SoapAPIClient
from algosec.errors import AlgoSecLoginError, AlgoSecAPIError
from algosec.helpers import report_soap_failure
logger = logging.getLogger(__name__)
class FireFlowAPIClient(SoapAPIClient):
"""*FireFlow* SOAP API c... | 0.763043 | 0.222267 |
import numpy as np
def moving_average(x, window=3, mode='full'):
'''
Calculate the moving average over an array.
Summary
-------
This function computes the running mean of an array.
Padding is performed for the "left" side, not for the "right".
Parameters
----------
x : array
... | torchutils/tools.py | import numpy as np
def moving_average(x, window=3, mode='full'):
'''
Calculate the moving average over an array.
Summary
-------
This function computes the running mean of an array.
Padding is performed for the "left" side, not for the "right".
Parameters
----------
x : array
... | 0.932269 | 0.759894 |
import re
import logging
from bs4 import BeautifulSoup
import requests
from concurrent.futures import ThreadPoolExecutor
def is_subseq(the_seq, the_string):
rgx = re.compile('.*'.join([re.escape(x) for x in the_seq]))
return rgx.search(the_string)
def is_hero_searched(query, raw_name):
name = raw_name.l... | app/scrape.py | import re
import logging
from bs4 import BeautifulSoup
import requests
from concurrent.futures import ThreadPoolExecutor
def is_subseq(the_seq, the_string):
rgx = re.compile('.*'.join([re.escape(x) for x in the_seq]))
return rgx.search(the_string)
def is_hero_searched(query, raw_name):
name = raw_name.l... | 0.342132 | 0.156169 |
import os
import os.path
import sys
import json
import sentry_sdk
from sentry_sdk.integrations.django import DjangoIntegration
sentry_sdk.init(
dsn="https://4ccfa35d8c424f2d87cc3aca96611bb6@o447032.ingest.sentry.io/5426444",
integrations=[DjangoIntegration()],
traces_sample_rate=1.0,
# If you wish to ... | zedway/settings.py | import os
import os.path
import sys
import json
import sentry_sdk
from sentry_sdk.integrations.django import DjangoIntegration
sentry_sdk.init(
dsn="https://4ccfa35d8c424f2d87cc3aca96611bb6@o447032.ingest.sentry.io/5426444",
integrations=[DjangoIntegration()],
traces_sample_rate=1.0,
# If you wish to ... | 0.237576 | 0.066176 |
from sklearn.metrics import roc_auc_score
import shap
import numpy as np
import skexplain
from skexplain.common.importance_utils import to_skexplain_importance
from tests import TestLR, TestRF
TRUE_RANKINGS = np.array(["X_1", "X_2", "X_3", "X_4", "X_5"], dtype=object)
class TestRankings(TestLR, TestRF):
def te... | tests/test_feature_ranking.py | from sklearn.metrics import roc_auc_score
import shap
import numpy as np
import skexplain
from skexplain.common.importance_utils import to_skexplain_importance
from tests import TestLR, TestRF
TRUE_RANKINGS = np.array(["X_1", "X_2", "X_3", "X_4", "X_5"], dtype=object)
class TestRankings(TestLR, TestRF):
def te... | 0.61855 | 0.500366 |
import cupy as cp
from ArraysCollection import ArraysCollection
import functools
import math
class DirectionalFilterBank():
""" Class that perform a directional filter bank, which means one step of the curvelet transform for one scale.
The procedure was taken from the article the uniform discrete curvelet ... | curvelets.py | import cupy as cp
from ArraysCollection import ArraysCollection
import functools
import math
class DirectionalFilterBank():
""" Class that perform a directional filter bank, which means one step of the curvelet transform for one scale.
The procedure was taken from the article the uniform discrete curvelet ... | 0.922552 | 0.71566 |
# Pandas : pip install pandas
# Matplotlib: pip install matplotlib
# Numpy: pip install numpy
# Ipython: pip install ipython
import math
import numpy as np
import matplotlib.pyplot as plt
# Given data
S0=100
K=105
T=5
r=0.05
sig=0.3
# Function to get Option Price for a given M
def getOptionPrice(M):
dt = T/M... | Semester 6/MA 374 (Financial Engg. Lab)/Lab 1/180123062_ABSatyaprakash_q2 1.py |
# Pandas : pip install pandas
# Matplotlib: pip install matplotlib
# Numpy: pip install numpy
# Ipython: pip install ipython
import math
import numpy as np
import matplotlib.pyplot as plt
# Given data
S0=100
K=105
T=5
r=0.05
sig=0.3
# Function to get Option Price for a given M
def getOptionPrice(M):
dt = T/M... | 0.52074 | 0.603435 |
from __future__ import absolute_import, division, print_function, unicode_literals
import six
import os
import numpy as np
import matplotlib.pyplot as plt
import livvkit
from livvkit.util.LIVVDict import LIVVDict
from livvkit.util import elements
from livvkit.util import functions
case_color = {'bench': '#d7191c'... | livvkit/components/numerics_tests/ismip.py | from __future__ import absolute_import, division, print_function, unicode_literals
import six
import os
import numpy as np
import matplotlib.pyplot as plt
import livvkit
from livvkit.util.LIVVDict import LIVVDict
from livvkit.util import elements
from livvkit.util import functions
case_color = {'bench': '#d7191c'... | 0.44071 | 0.275977 |