code stringlengths 2k 1.04M | repo_path stringlengths 5 517 | parsed_code stringlengths 0 1.04M | quality_prob float64 0.02 0.95 | learning_prob float64 0.02 0.93 |
|---|---|---|---|---|
import json
from school.models.class_model import Class
from school.models.school_model import School
from django.urls.base import reverse
from rest_framework.test import APITestCase
from country.models import Country, City
from django.contrib.auth import get_user_model
User = get_user_model()
class SchoolTests(APITe... | bookorbooks/school/tests/school_tests.py | import json
from school.models.class_model import Class
from school.models.school_model import School
from django.urls.base import reverse
from rest_framework.test import APITestCase
from country.models import Country, City
from django.contrib.auth import get_user_model
User = get_user_model()
class SchoolTests(APITe... | 0.468304 | 0.230119 |
import configparser
import psycopg2
from sql_queries import copy_table_queries, insert_table_queries
import os
import pandas as pd
import numpy as np
from datetime import datetime
import pytz
import dateutil
from timezonefinder import TimezoneFinder
import requests
from bs4 import BeautifulSoup
from utils import (
... | etl.py | import configparser
import psycopg2
from sql_queries import copy_table_queries, insert_table_queries
import os
import pandas as pd
import numpy as np
from datetime import datetime
import pytz
import dateutil
from timezonefinder import TimezoneFinder
import requests
from bs4 import BeautifulSoup
from utils import (
... | 0.169956 | 0.131507 |
from testplan.testing.multitest import MultiTest, testsuite, testcase
from testplan.testing.multitest.base import Categories
from testplan import Testplan
from testplan.common.utils.testing import (
check_report, log_propagation_disabled
)
from testplan.report.testing import TestReport, TestGroupReport, TestCaseRe... | test/functional/testplan/testing/multitest/test_pre_post_steps.py | from testplan.testing.multitest import MultiTest, testsuite, testcase
from testplan.testing.multitest.base import Categories
from testplan import Testplan
from testplan.common.utils.testing import (
check_report, log_propagation_disabled
)
from testplan.report.testing import TestReport, TestGroupReport, TestCaseRe... | 0.531939 | 0.441854 |
from absl import flags
import tensorflow as tf
import numpy as np
from tqdm import tqdm
from pyrsostf.data import MNIST
from pyrsostf.nn import AutoencoderLayer, corrupt_data_with_noise, transform_tf_variable
from pyrsostf.plots import compare_images, save_image_collection, plot_autoencoder_weights
flags.DEFINE_integ... | autoencoders/mnist_stacked_denoising_autoencoder.py | from absl import flags
import tensorflow as tf
import numpy as np
from tqdm import tqdm
from pyrsostf.data import MNIST
from pyrsostf.nn import AutoencoderLayer, corrupt_data_with_noise, transform_tf_variable
from pyrsostf.plots import compare_images, save_image_collection, plot_autoencoder_weights
flags.DEFINE_integ... | 0.890187 | 0.489686 |
import pickle
import re
import sys
import time
import pytest
from loguru import logger
from .conftest import default_threading_excepthook
class NotPicklable:
def __getstate__(self):
raise pickle.PicklingError("You shall not serialize me!")
def __setstate__(self, state):
pass
class NotUnpi... | tests/test_add_option_enqueue.py | import pickle
import re
import sys
import time
import pytest
from loguru import logger
from .conftest import default_threading_excepthook
class NotPicklable:
def __getstate__(self):
raise pickle.PicklingError("You shall not serialize me!")
def __setstate__(self, state):
pass
class NotUnpi... | 0.307462 | 0.321753 |
import requests, json, sys, re, time, warnings, argparse
from datetime import datetime
warnings.filterwarnings("ignore")
parser=argparse.ArgumentParser(description="Python script using Redfish API to either get controllers / disks / virtual disks / supported RAID levels or create virtual disk")
parser.add... | CreateVirtualDiskREDFISH.py |
import requests, json, sys, re, time, warnings, argparse
from datetime import datetime
warnings.filterwarnings("ignore")
parser=argparse.ArgumentParser(description="Python script using Redfish API to either get controllers / disks / virtual disks / supported RAID levels or create virtual disk")
parser.add... | 0.304042 | 0.089058 |
from bc125csv import main
from bc125csv.scanner import Channel, VirtualScanner, ScannerException
from bc125csv.tests.base import BaseTestCase, mock
class NonRespondingScanner(VirtualScanner):
def writeread(self, command):
return ""
class ErrorRespondingScanner(VirtualScanner):
def writeread(self, comm... | bc125csv/tests/test_scanner.py | from bc125csv import main
from bc125csv.scanner import Channel, VirtualScanner, ScannerException
from bc125csv.tests.base import BaseTestCase, mock
class NonRespondingScanner(VirtualScanner):
def writeread(self, command):
return ""
class ErrorRespondingScanner(VirtualScanner):
def writeread(self, comm... | 0.585457 | 0.341171 |
import argparse, sys, os
import operator
from Bio import SeqIO
def make_rundir( run, verbose ):
if os.path.exists( run ):
if os.path.isdir( run ):
if verbose:
sys.stderr.write(run + ' already exists\n')
return os.path.abspath(run)
else:
raise OSE... | bin/run_split_augustus.py | import argparse, sys, os
import operator
from Bio import SeqIO
def make_rundir( run, verbose ):
if os.path.exists( run ):
if os.path.isdir( run ):
if verbose:
sys.stderr.write(run + ' already exists\n')
return os.path.abspath(run)
else:
raise OSE... | 0.188548 | 0.161783 |
import shutil
import time
import pytest
from btclib_node import Node
from btclib_node.chains import RegTest
from btclib_node.config import Config
from btclib_node.constants import NodeStatus
from btclib_node.main import update_chain
from tests.helpers import generate_random_chain, get_random_port, wait_until
@pytes... | tests/functional/p2p/test_download.py | import shutil
import time
import pytest
from btclib_node import Node
from btclib_node.chains import RegTest
from btclib_node.config import Config
from btclib_node.constants import NodeStatus
from btclib_node.main import update_chain
from tests.helpers import generate_random_chain, get_random_port, wait_until
@pytes... | 0.210279 | 0.273096 |
import numpy as np
import tensorflow as tf
from copy import deepcopy
from tf_rl.common.utils import create_checkpoint
class DDPG:
def __init__(self, ggnn, critic, node_info, num_action, params):
self.params = params
self.num_action = num_action
self.eval_flg = False
self.index_time... | tf_rl/examples/NerveNet/agent/DDPG.py | import numpy as np
import tensorflow as tf
from copy import deepcopy
from tf_rl.common.utils import create_checkpoint
class DDPG:
def __init__(self, ggnn, critic, node_info, num_action, params):
self.params = params
self.num_action = num_action
self.eval_flg = False
self.index_time... | 0.873485 | 0.301716 |
from typing import Any, AsyncIterable, Callable, Dict, Optional, TypeVar
from azure.core.async_paging import AsyncItemPaged, AsyncList
from azure.core.exceptions import ClientAuthenticationError, HttpResponseError, ResourceExistsError, ResourceNotFoundError, map_error
from azure.core.pipeline import PipelineResponse
f... | sdk/search/azure-search-documents/azure/search/documents/indexes/_generated/aio/operations/_aliases_operations.py | from typing import Any, AsyncIterable, Callable, Dict, Optional, TypeVar
from azure.core.async_paging import AsyncItemPaged, AsyncList
from azure.core.exceptions import ClientAuthenticationError, HttpResponseError, ResourceExistsError, ResourceNotFoundError, map_error
from azure.core.pipeline import PipelineResponse
f... | 0.855851 | 0.108378 |
import logging
import os
import tempfile
import threading
from contextlib import contextmanager
from distutils.dir_util import copy_tree
from funcy import cached_property, retry, suppress, wrap_with
from dvc.compat import fspath
from dvc.config import NoRemoteError, NotDvcRepoError
from dvc.exceptions import (
Ch... | dvc/external_repo.py | import logging
import os
import tempfile
import threading
from contextlib import contextmanager
from distutils.dir_util import copy_tree
from funcy import cached_property, retry, suppress, wrap_with
from dvc.compat import fspath
from dvc.config import NoRemoteError, NotDvcRepoError
from dvc.exceptions import (
Ch... | 0.516108 | 0.077622 |
import string
import datetime
import sys
import hashlib
def cracker(passarg):
starttime = datetime.datetime.now()
chars = ['#','@','$','a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z', 'A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', '... | permutation.py | import string
import datetime
import sys
import hashlib
def cracker(passarg):
starttime = datetime.datetime.now()
chars = ['#','@','$','a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z', 'A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', '... | 0.084909 | 0.261325 |
import random
from faker import Faker
from common.constants import CreateCourseConstants
fake = Faker("Ru-ru")
class CreateCourse:
def __init__(
self,
full_course_name=None,
short_course_name=None,
end_day=None,
end_month=None,
end_year=None,
end_hour=Non... | models/create_course.py | import random
from faker import Faker
from common.constants import CreateCourseConstants
fake = Faker("Ru-ru")
class CreateCourse:
def __init__(
self,
full_course_name=None,
short_course_name=None,
end_day=None,
end_month=None,
end_year=None,
end_hour=Non... | 0.522202 | 0.119152 |
test_get_app_tables = [
{
"alias": "_DBID_MEMBERSHIP",
"created": "2020-09-01T20:16:15Z",
"defaultSortFieldId": 4,
"defaultSortOrder": "ASC",
"description": "",
"id": "abcdef",
"keyFieldId": 3,
"name": "Members",
"nextFieldId": 100,
"nextRecordId": 250,
"pluralRecordName": ... | test/test_quickbase/test_data.py | test_get_app_tables = [
{
"alias": "_DBID_MEMBERSHIP",
"created": "2020-09-01T20:16:15Z",
"defaultSortFieldId": 4,
"defaultSortOrder": "ASC",
"description": "",
"id": "abcdef",
"keyFieldId": 3,
"name": "Members",
"nextFieldId": 100,
"nextRecordId": 250,
"pluralRecordName": ... | 0.407098 | 0.386503 |
import pytest
import os, glob
import micasense.capture as capture
import micasense.image as image
@pytest.fixture()
def files_dir():
return os.path.join('data', '0000SET', '000')
@pytest.fixture()
def file_list():
return glob.glob(os.path.join(files_dir(), 'IMG_0000_*.tif'))
@pytest.fixture()
def bad_file_l... | tests/test_capture.py | import pytest
import os, glob
import micasense.capture as capture
import micasense.image as image
@pytest.fixture()
def files_dir():
return os.path.join('data', '0000SET', '000')
@pytest.fixture()
def file_list():
return glob.glob(os.path.join(files_dir(), 'IMG_0000_*.tif'))
@pytest.fixture()
def bad_file_l... | 0.464902 | 0.488771 |
from __future__ import absolute_import, division, print_function, unicode_literals
import os
import sys
import time
import cv2
import numpy as np
sys.path.append('../../webapp')
from candysorter.models.images.calibrate import ImageCalibrator
from candysorter.models.images.detect import CandyDetector
from candysort... | setup/script/camera_tune.py |
from __future__ import absolute_import, division, print_function, unicode_literals
import os
import sys
import time
import cv2
import numpy as np
sys.path.append('../../webapp')
from candysorter.models.images.calibrate import ImageCalibrator
from candysorter.models.images.detect import CandyDetector
from candysort... | 0.452536 | 0.076684 |
import psutil
import time
import math
import gitlab
import os
from argparse import ArgumentParser
import configparser
MODULE_NAME = "ptl: Automatically log time in GitLab issue tracker for COMP23311 at UoM."
__version__ = "0.1.0"
def print_config(token, project_id, issue_id):
print("--:CONFIG:--\n" + "🎫 TOKEN:" + ... | ptl/__main__.py | import psutil
import time
import math
import gitlab
import os
from argparse import ArgumentParser
import configparser
MODULE_NAME = "ptl: Automatically log time in GitLab issue tracker for COMP23311 at UoM."
__version__ = "0.1.0"
def print_config(token, project_id, issue_id):
print("--:CONFIG:--\n" + "🎫 TOKEN:" + ... | 0.167559 | 0.050144 |
from enum import IntEnum, unique
@unique # Just to avoid potential developer errors
class PacketType(IntEnum):
# Handshake packets
PROTOCOL_REQUEST = 0
PROTOCOL_RESPONSE = 1
# Universe; server → client
SERVER_DISCONNECT = 2
CONNECT_SUCCESS = 3
CONNECT_FAILURE = 4
HANDSHAKE_CHALLENGE =... | starrypy/enums.py | from enum import IntEnum, unique
@unique # Just to avoid potential developer errors
class PacketType(IntEnum):
# Handshake packets
PROTOCOL_REQUEST = 0
PROTOCOL_RESPONSE = 1
# Universe; server → client
SERVER_DISCONNECT = 2
CONNECT_SUCCESS = 3
CONNECT_FAILURE = 4
HANDSHAKE_CHALLENGE =... | 0.336767 | 0.079531 |
import requests
import json
from utils.validate_input import validate_required_field_existence
from torre.constants import API_URL, URL, SEARCH_URL
GENOME_USERNAME_FIELD = 'genome_username'
LOCATION_FIELD = 'location'
ROLE_FIELD = 'role'
SALARY_RANGE_FIELD = 'salaryRange'
MIN_SALARY_RANGE_FIELD = 'min'
MAX_SALARY_RANG... | back/torre/skill_differences.py | import requests
import json
from utils.validate_input import validate_required_field_existence
from torre.constants import API_URL, URL, SEARCH_URL
GENOME_USERNAME_FIELD = 'genome_username'
LOCATION_FIELD = 'location'
ROLE_FIELD = 'role'
SALARY_RANGE_FIELD = 'salaryRange'
MIN_SALARY_RANGE_FIELD = 'min'
MAX_SALARY_RANG... | 0.374791 | 0.169956 |
from datetime import datetime
from elasticsearch_dsl import DocType, Date, String, construct_field
user_field = construct_field('object')
user_field.property('name', 'string', fields={'raw': construct_field('string', index='not_analyzed')})
class Repository(DocType):
owner = user_field
created_at = Date()
... | test_elasticsearch_dsl/test_integration/test_document.py | from datetime import datetime
from elasticsearch_dsl import DocType, Date, String, construct_field
user_field = construct_field('object')
user_field.property('name', 'string', fields={'raw': construct_field('string', index='not_analyzed')})
class Repository(DocType):
owner = user_field
created_at = Date()
... | 0.783906 | 0.360602 |
from __future__ import print_function
import time
import datetime
from dateutil.relativedelta import relativedelta
import numpy as np
import math
from keras.models import Sequential
from keras.layers import Dense
from keras.layers import LSTM
from keras.layers import GRU
from keras.layers import Dropout
from keras.lay... | model.py | from __future__ import print_function
import time
import datetime
from dateutil.relativedelta import relativedelta
import numpy as np
import math
from keras.models import Sequential
from keras.layers import Dense
from keras.layers import LSTM
from keras.layers import GRU
from keras.layers import Dropout
from keras.lay... | 0.84994 | 0.451085 |
import argparse as ap
import logging
import os
import sys
import pandas
logger = logging.getLogger()
logger.setLevel(logging.DEBUG)
ch = logging.StreamHandler(sys.stdout)
ch.setLevel(logging.DEBUG)
formatter = logging.Formatter('%(asctime)s - %(levelname)s - %(message)s')
ch.setFormatter(formatter)
logger.addHandler(... | Docker image/dh-importer/create_tsv_output.py | import argparse as ap
import logging
import os
import sys
import pandas
logger = logging.getLogger()
logger.setLevel(logging.DEBUG)
ch = logging.StreamHandler(sys.stdout)
ch.setLevel(logging.DEBUG)
formatter = logging.Formatter('%(asctime)s - %(levelname)s - %(message)s')
ch.setFormatter(formatter)
logger.addHandler(... | 0.293607 | 0.163079 |
import asyncio
import discord
import random
import itertools
from typing import Iterator
from async_timeout import timeout
from discord.ext.commands import Context
from discord import Guild, TextChannel
from app.ext.performance import run_in_threadpool
from .YTDLSource import YTDLSource
from app.controlle... | app/ext/music/Player.py | import asyncio
import discord
import random
import itertools
from typing import Iterator
from async_timeout import timeout
from discord.ext.commands import Context
from discord import Guild, TextChannel
from app.ext.performance import run_in_threadpool
from .YTDLSource import YTDLSource
from app.controlle... | 0.584271 | 0.153613 |
from __future__ import absolute_import
import json
import logging
import os
import threading
import time
import datetime
import socket
import traceback
import platform
import commands
import atexit
from requests_futures import sessions
def setInterval(interval):
def decorator(function):
def wrapper(*args, ... | splunk_eventgen/logger/splunk_hec_logging_handler.py | from __future__ import absolute_import
import json
import logging
import os
import threading
import time
import datetime
import socket
import traceback
import platform
import commands
import atexit
from requests_futures import sessions
def setInterval(interval):
def decorator(function):
def wrapper(*args, ... | 0.379608 | 0.049336 |
from collections import defaultdict
from gzip import GzipFile
from math import modf
from sys import stderr
from xml.sax import make_parser
from xml.sax.handler import feature_external_ges
from xml.dom import pulldom
cpuClock = 3579545
vdpClock = cpuClock * 6
masterClock = cpuClock * 960
vdpTicksPerLine = 1368
# The... | Contrib/tas/omr2txt.py |
from collections import defaultdict
from gzip import GzipFile
from math import modf
from sys import stderr
from xml.sax import make_parser
from xml.sax.handler import feature_external_ges
from xml.dom import pulldom
cpuClock = 3579545
vdpClock = cpuClock * 6
masterClock = cpuClock * 960
vdpTicksPerLine = 1368
# The... | 0.367724 | 0.270227 |
import os
import uuid
from dateutil.tz import tzutc
from datetime import datetime
import string
import random
from azure_devtools.perfstress_tests import PerfStressTest
from azure.core.exceptions import ResourceNotFoundError
from azure.data.tables import EdmType, EntityProperty
from azure.data.tables import TableSer... | sdk/tables/azure-data-tables/tests/perfstress_tests/_base.py |
import os
import uuid
from dateutil.tz import tzutc
from datetime import datetime
import string
import random
from azure_devtools.perfstress_tests import PerfStressTest
from azure.core.exceptions import ResourceNotFoundError
from azure.data.tables import EdmType, EntityProperty
from azure.data.tables import TableSer... | 0.414425 | 0.089455 |
from absl import logging
from scenic.dataset_lib.big_transfer import ops as pp_ops
from scenic.dataset_lib.big_transfer import registry
import tensorflow.compat.v1 as tf
TPU_SUPPORTED_DTYPES = [
tf.bool, tf.int32, tf.int64, tf.bfloat16, tf.float32, tf.complex64,
tf.uint32
]
def get_preprocess_fn(pp_pipeline,... | scenic/dataset_lib/big_transfer/builder.py | from absl import logging
from scenic.dataset_lib.big_transfer import ops as pp_ops
from scenic.dataset_lib.big_transfer import registry
import tensorflow.compat.v1 as tf
TPU_SUPPORTED_DTYPES = [
tf.bool, tf.int32, tf.int64, tf.bfloat16, tf.float32, tf.complex64,
tf.uint32
]
def get_preprocess_fn(pp_pipeline,... | 0.860823 | 0.517266 |
import random
import numpy as np
from PIL import Image, ImageEnhance, ImageOps, ImageTransform
import fastestimator as fe
from fastestimator.architecture.pytorch import ResNet9
from fastestimator.dataset.data.cifair10 import load_data
from fastestimator.op.numpyop import NumpyOp
from fastestimator.op.numpyop.meta imp... | apphub/automl/rand_augment/rand_augment_torch.py | import random
import numpy as np
from PIL import Image, ImageEnhance, ImageOps, ImageTransform
import fastestimator as fe
from fastestimator.architecture.pytorch import ResNet9
from fastestimator.dataset.data.cifair10 import load_data
from fastestimator.op.numpyop import NumpyOp
from fastestimator.op.numpyop.meta imp... | 0.808143 | 0.474449 |
"""Some common combinations"""
import string
from pyparsing import Empty, FollowedBy, LineEnd, Literal, OneOrMore, Optional
from pyparsing import Suppress, SkipTo, Word, ZeroOrMore
from regparser.grammar import atomic
from regparser.grammar.utils import keep_pos, Marker
period_section = Suppress(".") + atomic.sectio... | regparser/grammar/unified.py | """Some common combinations"""
import string
from pyparsing import Empty, FollowedBy, LineEnd, Literal, OneOrMore, Optional
from pyparsing import Suppress, SkipTo, Word, ZeroOrMore
from regparser.grammar import atomic
from regparser.grammar.utils import keep_pos, Marker
period_section = Suppress(".") + atomic.sectio... | 0.761538 | 0.442275 |
import sympy as sp
import numpy as np
import scipy.sparse.linalg as lin
import array_to_latex as a2l
from time import time
x = sp.Symbol('x', real=True)
fe = {}
rnd = {}
func = {}
def matvec(u_hat, f_hat, A, B, alpha, method):
"""Compute matrix vector product
Parameters
----------
u_hat : Function
... | docs/paper/CG/CGpaper_dirichlet.py | import sympy as sp
import numpy as np
import scipy.sparse.linalg as lin
import array_to_latex as a2l
from time import time
x = sp.Symbol('x', real=True)
fe = {}
rnd = {}
func = {}
def matvec(u_hat, f_hat, A, B, alpha, method):
"""Compute matrix vector product
Parameters
----------
u_hat : Function
... | 0.737253 | 0.717556 |
HTML = '''\
<a href="#javascript-disabled" class="alime{extra_class}" \
style="width: {width}em">
<span class="sr-only">(Click to send mail)</span>
<!-- Automatically generated (https://github.com/cduck/alime) -->
{chars}
</a>\
'''
HTML_BETWEEN_STATIC = '\n\n<br>\n\n'
CHAR = '<span><span>{char}</span></span... | alime/templates.py | HTML = '''\
<a href="#javascript-disabled" class="alime{extra_class}" \
style="width: {width}em">
<span class="sr-only">(Click to send mail)</span>
<!-- Automatically generated (https://github.com/cduck/alime) -->
{chars}
</a>\
'''
HTML_BETWEEN_STATIC = '\n\n<br>\n\n'
CHAR = '<span><span>{char}</span></span... | 0.411584 | 0.116588 |
# Generates a dependancy file
# > generateDeps.py path [rel] [obj] [indent]
# Path is the path to (recursivley) generate dependancies for, defaults to the current directory
# Rel is the path that the files will be relative to, this should be the directory that a "deps.json" is output
# Obj will be merged with the dep... | tools/generateDeps.py |
# Generates a dependancy file
# > generateDeps.py path [rel] [obj] [indent]
# Path is the path to (recursivley) generate dependancies for, defaults to the current directory
# Rel is the path that the files will be relative to, this should be the directory that a "deps.json" is output
# Obj will be merged with the dep... | 0.350977 | 0.32544 |
from pathlib import Path
import os
import dj_database_url
if os.path.exists('env.py'):
import env # noqa
# Build paths inside the project like this: BASE_DIR / 'subdir'.
BASE_DIR = Path(__file__).resolve().parent.parent
TEMPLATES_DIR = os.path.join(BASE_DIR, 'templates')
# Quick-start development settings - un... | main/settings.py | from pathlib import Path
import os
import dj_database_url
if os.path.exists('env.py'):
import env # noqa
# Build paths inside the project like this: BASE_DIR / 'subdir'.
BASE_DIR = Path(__file__).resolve().parent.parent
TEMPLATES_DIR = os.path.join(BASE_DIR, 'templates')
# Quick-start development settings - un... | 0.461502 | 0.054249 |
import logging
import os
from functools import lru_cache
from typing import List, Mapping, Optional
import pandas as pd
from .utils import get_version
from ..constants import (
RELATION_COLUMNS,
RELATION_ID,
RELATION_PREFIX,
SOURCE_ID,
SOURCE_PREFIX,
TARGET_ID,
TARGET_PREFIX,
)
from ..gett... | src/pyobo/api/relations.py | import logging
import os
from functools import lru_cache
from typing import List, Mapping, Optional
import pandas as pd
from .utils import get_version
from ..constants import (
RELATION_COLUMNS,
RELATION_ID,
RELATION_PREFIX,
SOURCE_ID,
SOURCE_PREFIX,
TARGET_ID,
TARGET_PREFIX,
)
from ..gett... | 0.691706 | 0.113629 |
import urllib.request
from urllib.parse import quote
from bs4 import BeautifulSoup
filePathMaster = "/home/RRADAR/rob.adams/Documents/News_Web_Crawler_Scrapers/"
filenameSHPCulandBeh = filePathMaster +"Crawled Data SHP Culture and Behaviour/"
filenameSHPCourt = filePathMaster + "Crawled Data SHP Court/"
filenameHSE = ... | WebCrawler.py | import urllib.request
from urllib.parse import quote
from bs4 import BeautifulSoup
filePathMaster = "/home/RRADAR/rob.adams/Documents/News_Web_Crawler_Scrapers/"
filenameSHPCulandBeh = filePathMaster +"Crawled Data SHP Culture and Behaviour/"
filenameSHPCourt = filePathMaster + "Crawled Data SHP Court/"
filenameHSE = ... | 0.042444 | 0.108661 |
import os
import subprocess
import urlparse
from osbuild import command
from osbuild import config
from osbuild import utils
def _chdir(func):
def wrapped(*args, **kwargs):
orig_cwd = os.getcwd()
os.chdir(args[0].local)
result = func(*args, **kwargs)
os.chdir(orig_cwd)
... | osbuild/git.py |
import os
import subprocess
import urlparse
from osbuild import command
from osbuild import config
from osbuild import utils
def _chdir(func):
def wrapped(*args, **kwargs):
orig_cwd = os.getcwd()
os.chdir(args[0].local)
result = func(*args, **kwargs)
os.chdir(orig_cwd)
... | 0.45423 | 0.088387 |
from rest_framework import serializers
from club.models import Story, Segment, User, Comment, UsersRelStories
class UserSerializer(serializers.ModelSerializer):
password = serializers.CharField(write_only=True, required=False)
confirm_password = serializers.CharField(write_only=True, required=False)
cla... | club/serializers.py | from rest_framework import serializers
from club.models import Story, Segment, User, Comment, UsersRelStories
class UserSerializer(serializers.ModelSerializer):
password = serializers.CharField(write_only=True, required=False)
confirm_password = serializers.CharField(write_only=True, required=False)
cla... | 0.550366 | 0.122839 |
class Cart:
def __init__(self, position, direction):
self.position = position
self.direction = direction
self.turn = 0
self.crashed = False
carts, tracks = [], {}
for y, line in enumerate(open('inputs/day13.input')):
for x, char in enumerate(line):
if char in ">v<^":
... | 2018/day13.py | class Cart:
def __init__(self, position, direction):
self.position = position
self.direction = direction
self.turn = 0
self.crashed = False
carts, tracks = [], {}
for y, line in enumerate(open('inputs/day13.input')):
for x, char in enumerate(line):
if char in ">v<^":
... | 0.376967 | 0.37912 |
import TCGMain as tc
from modules import pyrand
def runtests():
#rngtest()
#packtest()
openpacktest('Quacker Booster', print_res=True)
def rngtest():
test_input_list = ('50', '30', '10', '5', '3', '1.5', '.5')
perfect_results = {x+'%': int(float(x)*100) for x in test_input_list}
test_input_l... | TCGTests.py | import TCGMain as tc
from modules import pyrand
def runtests():
#rngtest()
#packtest()
openpacktest('Quacker Booster', print_res=True)
def rngtest():
test_input_list = ('50', '30', '10', '5', '3', '1.5', '.5')
perfect_results = {x+'%': int(float(x)*100) for x in test_input_list}
test_input_l... | 0.235108 | 0.440409 |
import math
import random
from sqlite3 import Error
import discord
from discord.ext import commands, tasks
from helper.sql import SQLFunctions
from discord.ext.commands.cooldowns import BucketType
def xpfier(n):
return round((n/0.0002725)**1.15)
def levefier(xp):
return math.floor(xp**(1/1.15) * 0.0002725)
... | cogs/voice.py | import math
import random
from sqlite3 import Error
import discord
from discord.ext import commands, tasks
from helper.sql import SQLFunctions
from discord.ext.commands.cooldowns import BucketType
def xpfier(n):
return round((n/0.0002725)**1.15)
def levefier(xp):
return math.floor(xp**(1/1.15) * 0.0002725)
... | 0.52074 | 0.144934 |
import random
from datetime import datetime
from django.contrib.sites.shortcuts import get_current_site
from django.contrib.staticfiles.storage import staticfiles_storage
from django.contrib.syndication.views import add_domain
from django.http import HttpResponseForbidden, JsonResponse
from django.template.loader impo... | emojiweather/commands/views.py | import random
from datetime import datetime
from django.contrib.sites.shortcuts import get_current_site
from django.contrib.staticfiles.storage import staticfiles_storage
from django.contrib.syndication.views import add_domain
from django.http import HttpResponseForbidden, JsonResponse
from django.template.loader impo... | 0.37777 | 0.089694 |
from __future__ import generators, unicode_literals
import sys
if sys.version_info[0] < 3:
str = unicode
import Tkinter as tkinter
import ttk
import tkFileDialog as filedialog
import tkSimpleDialog as simpledialog
else:
import tkinter
import tkinter.ttk as ttk
import tkinter.filedialog a... | template-mvvm.py | from __future__ import generators, unicode_literals
import sys
if sys.version_info[0] < 3:
str = unicode
import Tkinter as tkinter
import ttk
import tkFileDialog as filedialog
import tkSimpleDialog as simpledialog
else:
import tkinter
import tkinter.ttk as ttk
import tkinter.filedialog a... | 0.28577 | 0.065605 |
import sys
import pygame
from bullet import Bullet
from alien import Alien
from time import sleep
#检测按键
def check_events(ship,settings,bullets,screen,play_button,state):
#相应按键和鼠标事件
for event in pygame.event.get():
if event.type == pygame.QUIT:
sys.exit()
elif event.type == pygame.... | game_functions.py | import sys
import pygame
from bullet import Bullet
from alien import Alien
from time import sleep
#检测按键
def check_events(ship,settings,bullets,screen,play_button,state):
#相应按键和鼠标事件
for event in pygame.event.get():
if event.type == pygame.QUIT:
sys.exit()
elif event.type == pygame.... | 0.173743 | 0.123656 |
from p5 import *
from random import randint
class Sun:
"""An object which can't move on its own and attracts other objects"""
def __init__(self, pos, mass):
self.pos = pos
self.mass = mass
self.g = 1
def show(self):
fill(240,230,140)
no_stroke()
circle(self... | 2.Forces/gravitational_attraction.py | from p5 import *
from random import randint
class Sun:
"""An object which can't move on its own and attracts other objects"""
def __init__(self, pos, mass):
self.pos = pos
self.mass = mass
self.g = 1
def show(self):
fill(240,230,140)
no_stroke()
circle(self... | 0.683314 | 0.680812 |
from .compat import (set_urllib_method, singledispatch, urlencode,
urllib_http_error_cls, urllib_request)
from .http import Response
__all__ = ['send', 'send_async']
@singledispatch
def send(client, request):
"""Given a client, send a :class:`~snug.http.Request`,
returning a :class:`~snu... | snug/clients.py | from .compat import (set_urllib_method, singledispatch, urlencode,
urllib_http_error_cls, urllib_request)
from .http import Response
__all__ = ['send', 'send_async']
@singledispatch
def send(client, request):
"""Given a client, send a :class:`~snug.http.Request`,
returning a :class:`~snu... | 0.763307 | 0.106691 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import time
import os
import sys
from multiprocessing import Pool
from time import sleep
# HACK: cross py2-py3 compatible version
try:
from queue import Queue
except ... | output_template/python/usb_camera_demo.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import time
import os
import sys
from multiprocessing import Pool
from time import sleep
# HACK: cross py2-py3 compatible version
try:
from queue import Queue
except ... | 0.439747 | 0.109706 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
__all__ = [
'VPNConnectionIkeConfigArgs',
'VPNConnectionIpsecConfigArgs',
]
@pulumi.input_type
class VPNConnectionIkeConfigArgs:
def __init__(__self__, *,
... | sdk/python/pulumi_ucloud/ipsecvpn/_inputs.py |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
__all__ = [
'VPNConnectionIkeConfigArgs',
'VPNConnectionIpsecConfigArgs',
]
@pulumi.input_type
class VPNConnectionIkeConfigArgs:
def __init__(__self__, *,
... | 0.857976 | 0.140631 |
from tqdm.auto import tqdm
from unittest import TestCase
from embiggen.edge_prediction import edge_prediction_evaluation
from embiggen import get_available_models_for_edge_prediction, get_available_models_for_node_embedding
from embiggen.edge_prediction.edge_prediction_model import AbstractEdgePredictionModel
from embi... | tests/test_edge_prediction_pipeline.py | from tqdm.auto import tqdm
from unittest import TestCase
from embiggen.edge_prediction import edge_prediction_evaluation
from embiggen import get_available_models_for_edge_prediction, get_available_models_for_node_embedding
from embiggen.edge_prediction.edge_prediction_model import AbstractEdgePredictionModel
from embi... | 0.801781 | 0.276156 |
import urlparse
import json
import httplib2
from keystoneclient.v2_0 import services
from tests import utils
class ServiceTests(utils.TestCase):
def setUp(self):
super(ServiceTests, self).setUp()
self.TEST_REQUEST_HEADERS = {
'X-Auth-Token': 'aToken',
'User-Agent': 'pytho... | tests/v2_0/test_services.py | import urlparse
import json
import httplib2
from keystoneclient.v2_0 import services
from tests import utils
class ServiceTests(utils.TestCase):
def setUp(self):
super(ServiceTests, self).setUp()
self.TEST_REQUEST_HEADERS = {
'X-Auth-Token': 'aToken',
'User-Agent': 'pytho... | 0.36557 | 0.203233 |
def reccomend_blood_pressure(blood_pressure):
recommendation_to_user = ""
if blood_pressure >= 140 / 90:
if blood_pressure >= 160 / 100:
recommendation_to_user += "Blood Pressure is in danger levels, these levels are in need of medication\n"
else:
recommendation_to_user ... | src/models/recommendations.py | def reccomend_blood_pressure(blood_pressure):
recommendation_to_user = ""
if blood_pressure >= 140 / 90:
if blood_pressure >= 160 / 100:
recommendation_to_user += "Blood Pressure is in danger levels, these levels are in need of medication\n"
else:
recommendation_to_user ... | 0.280616 | 0.574454 |
import unittest
import json
from pysliceplorer import hyperslice_core as hs_core
class TestHyperSlice(unittest.TestCase):
def f(self, x1, x2, x3, x4):
return x1 + x2 + x3 + x4
def test_min_max(self):
with self.assertRaises(Exception):
hs_core(self.f, 20, 10, 4, (0, 0, 0, 0), 10)
... | test/test_hyperslice.py | import unittest
import json
from pysliceplorer import hyperslice_core as hs_core
class TestHyperSlice(unittest.TestCase):
def f(self, x1, x2, x3, x4):
return x1 + x2 + x3 + x4
def test_min_max(self):
with self.assertRaises(Exception):
hs_core(self.f, 20, 10, 4, (0, 0, 0, 0), 10)
... | 0.577734 | 0.670001 |
import six
from heat.engine.constraint import common_constraints as cc
from heat.tests import common
from heat.tests import utils
class TestIPConstraint(common.HeatTestCase):
def setUp(self):
super(TestIPConstraint, self).setUp()
self.constraint = cc.IPConstraint()
def test_validate_ipv4_f... | heat/tests/constraints/test_common_constraints.py |
import six
from heat.engine.constraint import common_constraints as cc
from heat.tests import common
from heat.tests import utils
class TestIPConstraint(common.HeatTestCase):
def setUp(self):
super(TestIPConstraint, self).setUp()
self.constraint = cc.IPConstraint()
def test_validate_ipv4_f... | 0.690142 | 0.538194 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import tempfile
import pandas as pd
import six
import tensorflow as tf
import tensorflow_lattice as tfl
flags = tf.flags
FLAGS = flags.FLAGS
# Run mode of the program.
flags.DEFINE_string(
"run... | examples/uci_census.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import tempfile
import pandas as pd
import six
import tensorflow as tf
import tensorflow_lattice as tfl
flags = tf.flags
FLAGS = flags.FLAGS
# Run mode of the program.
flags.DEFINE_string(
"run... | 0.723212 | 0.255158 |
import sys
import pdfkit
import filters
from flask import Flask, render_template, request, abort, make_response
from flask_cors import CORS
app = Flask(__name__)
CORS(app)
# Add the Jinja filters.
app.jinja_env.filters['title'] = filters.title
app.jinja_env.filters['is_dict'] = filters.is_dict
app.jinja_env.filters... | main.py | import sys
import pdfkit
import filters
from flask import Flask, render_template, request, abort, make_response
from flask_cors import CORS
app = Flask(__name__)
CORS(app)
# Add the Jinja filters.
app.jinja_env.filters['title'] = filters.title
app.jinja_env.filters['is_dict'] = filters.is_dict
app.jinja_env.filters... | 0.369998 | 0.127517 |
import requests
api_key = 'xxxxxx' # replace with a valid bingmap api key
base_url = "https://dev.virtualearth.net/REST/v1/Imagery/Map/"
zoom = "20"
maptype = "Aerial"
size = "600,600"
def bing_getaerial(latlon):
url = base_url + maptype + '/' + latlon + '/' + zoom + '?mapsize=' + size + "&fmt=png&key=" + api_k... | bingapi.py | import requests
api_key = 'xxxxxx' # replace with a valid bingmap api key
base_url = "https://dev.virtualearth.net/REST/v1/Imagery/Map/"
zoom = "20"
maptype = "Aerial"
size = "600,600"
def bing_getaerial(latlon):
url = base_url + maptype + '/' + latlon + '/' + zoom + '?mapsize=' + size + "&fmt=png&key=" + api_k... | 0.265595 | 0.156878 |
import os
import xml.etree.ElementTree as ET
from pathlib import Path
from typing import Optional
import pandas as pd
import pytest
def _get_xml_templates():
suffix = "_template.xml"
current_dir = os.path.dirname(os.path.realpath(__file__))
return [
_.rstrip(suffix)
for _ in os.listdir(Pa... | test/unittests/iotools/converters/adni_to_bids/test_adni_json.py | import os
import xml.etree.ElementTree as ET
from pathlib import Path
from typing import Optional
import pandas as pd
import pytest
def _get_xml_templates():
suffix = "_template.xml"
current_dir = os.path.dirname(os.path.realpath(__file__))
return [
_.rstrip(suffix)
for _ in os.listdir(Pa... | 0.706596 | 0.294202 |
# imports
import numpy as __numpy
# functions
def denominator(x, *args, **kwargs): # real signature unknown; NOTE: unreliably restored from __doc__
"""
denominator(x, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj])
rational number denominato... | resources/dot_PyCharm/system/python_stubs/-762174762/numpy/core/_rational_tests.py |
# imports
import numpy as __numpy
# functions
def denominator(x, *args, **kwargs): # real signature unknown; NOTE: unreliably restored from __doc__
"""
denominator(x, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj])
rational number denominato... | 0.731059 | 0.281572 |
from collections import defaultdict
from datetime import date
from dateutil.relativedelta import relativedelta
from django.contrib.auth.mixins import LoginRequiredMixin
from django.db.models import Sum
from django.shortcuts import redirect, render
from django.urls import reverse, reverse_lazy
from django.views import... | silverstrike/views/categories.py | from collections import defaultdict
from datetime import date
from dateutil.relativedelta import relativedelta
from django.contrib.auth.mixins import LoginRequiredMixin
from django.db.models import Sum
from django.shortcuts import redirect, render
from django.urls import reverse, reverse_lazy
from django.views import... | 0.557604 | 0.121738 |
from abc import ABC, abstractmethod
from typing import Dict
import pandas as pd
import logging
from dgi.code2graph.process_facts import ConsumeFacts
# Author information
__author__ = "<NAME>"
__license__ = "Apache 2.0"
__version__ = "1.0"
__maintainer__ = "<NAME>"
__email__ = "<EMAIL>"
__status__ = "Research Prototy... | dgi/code2graph/abstract_graph_builder.py |
from abc import ABC, abstractmethod
from typing import Dict
import pandas as pd
import logging
from dgi.code2graph.process_facts import ConsumeFacts
# Author information
__author__ = "<NAME>"
__license__ = "Apache 2.0"
__version__ = "1.0"
__maintainer__ = "<NAME>"
__email__ = "<EMAIL>"
__status__ = "Research Prototy... | 0.864625 | 0.219526 |
import logging
from datetime import datetime
from playhouse.migrate import *
from peewee import ProgrammingError
from sanicms import load_config
config = load_config()
db = PostgresqlDatabase(**config['DB_CONFIG'])
migrator = PostgresqlMigrator(db)
logger = logging.getLogger('sanic')
class MigrationRecord(Model):... | migrations.py |
import logging
from datetime import datetime
from playhouse.migrate import *
from peewee import ProgrammingError
from sanicms import load_config
config = load_config()
db = PostgresqlDatabase(**config['DB_CONFIG'])
migrator = PostgresqlMigrator(db)
logger = logging.getLogger('sanic')
class MigrationRecord(Model):... | 0.566978 | 0.076684 |
import os
import sys
import pandas as pd
if os.path.exists("./Mephisto"): # noqa
sys.path.append(os.path.abspath("./Mephisto")) # noqa
print("WARNING: Loading Mephisto from local directory") # noqa
from mephisto.core.data_browser import DataBrowser as MephistoDataBrowser # isort:skip
from mephisto.core... | annotators/pay_workers.py |
import os
import sys
import pandas as pd
if os.path.exists("./Mephisto"): # noqa
sys.path.append(os.path.abspath("./Mephisto")) # noqa
print("WARNING: Loading Mephisto from local directory") # noqa
from mephisto.core.data_browser import DataBrowser as MephistoDataBrowser # isort:skip
from mephisto.core... | 0.223462 | 0.097777 |
(dp0
VOpera 9.7
p1
(dp2
S'summary_display'
p3
S'8/14'
p4
sS'total_runs'
p5
L2L
sS'summary_score'
p6
I57
sS'results'
p7
(dp8
S'du'
p9
(dp10
S'score'
p11
I100
sS'raw_score'
p12
I1
sS'display'
p13
S'yes'
p14
ssS'parscriptimage'
p15
(dp16
g11
I100
sg12
I1
sg13
g14
ssS'cacheexp'
p17
(dp18
g11
I100
sg12
I1
sg13
g14
ssS'cache... | static_mode/network_2.py | (dp0
VOpera 9.7
p1
(dp2
S'summary_display'
p3
S'8/14'
p4
sS'total_runs'
p5
L2L
sS'summary_score'
p6
I57
sS'results'
p7
(dp8
S'du'
p9
(dp10
S'score'
p11
I100
sS'raw_score'
p12
I1
sS'display'
p13
S'yes'
p14
ssS'parscriptimage'
p15
(dp16
g11
I100
sg12
I1
sg13
g14
ssS'cacheexp'
p17
(dp18
g11
I100
sg12
I1
sg13
g14
ssS'cache... | 0.145085 | 0.05113 |
import os
import sys
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from sklearn import metrics
from sklearn.linear_model import LogisticRegression
from sklearn.model_selection import train_test_split
def transLabel(data):
"""
将文字变量转化为数字变量
"""
data["label_code"] = pd.Categoric... | pr/binary_model_evaluation/evaluation_example_code.py | import os
import sys
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from sklearn import metrics
from sklearn.linear_model import LogisticRegression
from sklearn.model_selection import train_test_split
def transLabel(data):
"""
将文字变量转化为数字变量
"""
data["label_code"] = pd.Categoric... | 0.485844 | 0.515376 |
import os
import sys
AMBARI_AGENT_HOST_DIR = "AMBARI_AGENT_HOST_DIR"
SYMLINKS_TXT = "symlinks.txt"
VERSIONS_TXT = "versions.txt"
# main method to parse arguments from user and start work
def main():
if len(sys.argv) <= 1:
sys.exit(-1)
args = sys.argv[1:]
do_work(args)
def extrakt_var_from_pythonpath(na... | ambari-server/src/main/resources/stacks/PERF/1.0/hooks/before-INSTALL/scripts/distro-select.py | import os
import sys
AMBARI_AGENT_HOST_DIR = "AMBARI_AGENT_HOST_DIR"
SYMLINKS_TXT = "symlinks.txt"
VERSIONS_TXT = "versions.txt"
# main method to parse arguments from user and start work
def main():
if len(sys.argv) <= 1:
sys.exit(-1)
args = sys.argv[1:]
do_work(args)
def extrakt_var_from_pythonpath(na... | 0.07038 | 0.10697 |
import json
from argparse import ArgumentParser
from os import linesep
from pathlib import Path
import numpy as np
from cascade.dismod.db.wrapper import DismodFile, get_engine
from cascade.dismod.metrics import data_records
from cascade.dismod.constants import INTEGRAND_COHORT_COST
INTEGRANDS = list(INTEGRAND_COHORT... | examples/add_integrands.py | import json
from argparse import ArgumentParser
from os import linesep
from pathlib import Path
import numpy as np
from cascade.dismod.db.wrapper import DismodFile, get_engine
from cascade.dismod.metrics import data_records
from cascade.dismod.constants import INTEGRAND_COHORT_COST
INTEGRANDS = list(INTEGRAND_COHORT... | 0.49292 | 0.108307 |
import winsound
from time import sleep
class TextToMorseParser:
_standard_duration = 150 # Set Duration To 300 ms == 0.3 second
_standard_freq = 1000 # Set Frequency To 900 Hertz
<EMAIL>
def duration(self, duration):
self._standard_duration = duration
@property
def frquency(self, f... | text2morse/Parser.py | import winsound
from time import sleep
class TextToMorseParser:
_standard_duration = 150 # Set Duration To 300 ms == 0.3 second
_standard_freq = 1000 # Set Frequency To 900 Hertz
<EMAIL>
def duration(self, duration):
self._standard_duration = duration
@property
def frquency(self, f... | 0.650467 | 0.20351 |
import torch
import torch.nn as nn
from torch import optim
from multiprocessing import cpu_count
import numpy as np
import argparse
import os
import time
from networks import LightSpeech
from dataset import DataLoader, collate_fn
from dataset import LightSpeechDataset
from loss import LigthSpeechLoss
import utils
impo... | train.py | import torch
import torch.nn as nn
from torch import optim
from multiprocessing import cpu_count
import numpy as np
import argparse
import os
import time
from networks import LightSpeech
from dataset import DataLoader, collate_fn
from dataset import LightSpeechDataset
from loss import LigthSpeechLoss
import utils
impo... | 0.753285 | 0.222616 |
import numpy as np
import pandas as pd
from estimagic.estimation.msm_weighting import get_weighting_matrix
from estimagic.exceptions import INVALID_SENSITIVITY_MSG
from estimagic.inference.msm_covs import cov_optimal
from estimagic.inference.msm_covs import cov_robust
from estimagic.inference.shared import process_pan... | estimagic/sensitivity/msm_sensitivity.py | import numpy as np
import pandas as pd
from estimagic.estimation.msm_weighting import get_weighting_matrix
from estimagic.exceptions import INVALID_SENSITIVITY_MSG
from estimagic.inference.msm_covs import cov_optimal
from estimagic.inference.msm_covs import cov_robust
from estimagic.inference.shared import process_pan... | 0.895134 | 0.648494 |
import quex.input.regular_expression.core as regular_expression
import quex.input.files.mode_option as mode_option
import quex.input.files.code_fragment as code_fragment
from quex.input.files.specifier.mode import ModeParsed
from quex.input.code.core import CodeUser
from qu... | quex/input/files/mode.py |
import quex.input.regular_expression.core as regular_expression
import quex.input.files.mode_option as mode_option
import quex.input.files.code_fragment as code_fragment
from quex.input.files.specifier.mode import ModeParsed
from quex.input.code.core import CodeUser
from qu... | 0.444685 | 0.150153 |
from math import sqrt
from random import randint, random
from Animal import Animal, Food
def distance(x1, y1, x2, y2):
return sqrt((x1-x2)**2 + (y1-y2)**2)
class World(object):
MAX_ANIMAL_COUNT = 100
MAX_EATING_DISTANCE = 20
EATING_VALUE = 0.03
def __init__(self, width, height):
self.w... | World.py | from math import sqrt
from random import randint, random
from Animal import Animal, Food
def distance(x1, y1, x2, y2):
return sqrt((x1-x2)**2 + (y1-y2)**2)
class World(object):
MAX_ANIMAL_COUNT = 100
MAX_EATING_DISTANCE = 20
EATING_VALUE = 0.03
def __init__(self, width, height):
self.w... | 0.628407 | 0.31695 |
import sys
import os
import datetime
import numpy
import scipy.stats
from sklearn.preprocessing import RobustScaler, StandardScaler, MinMaxScaler
import pandas as pd
class DescriptiveStatistic:
def __init__(self, path=None):
self.data_frame = pd.read_csv(path, delimiter=',', index_col=False, )
s... | testability/descriptive_statistics.py | import sys
import os
import datetime
import numpy
import scipy.stats
from sklearn.preprocessing import RobustScaler, StandardScaler, MinMaxScaler
import pandas as pd
class DescriptiveStatistic:
def __init__(self, path=None):
self.data_frame = pd.read_csv(path, delimiter=',', index_col=False, )
s... | 0.393502 | 0.367866 |
from .api import FIELD_INDEXES, COLUMN_TO_NAME, get_index_name, get_column_name, regex
from django.db import models
from django.db.models.sql import aggregates as sqlaggregates
from django.db.models.sql.constants import LOOKUP_SEP, MULTI, SINGLE, LHS_ALIAS,\
JOIN_TYPE, LHS_JOIN_COL, TABLE_NAME, RHS_JOIN_COL
from dj... | dbindexer/compiler.py | from .api import FIELD_INDEXES, COLUMN_TO_NAME, get_index_name, get_column_name, regex
from django.db import models
from django.db.models.sql import aggregates as sqlaggregates
from django.db.models.sql.constants import LOOKUP_SEP, MULTI, SINGLE, LHS_ALIAS,\
JOIN_TYPE, LHS_JOIN_COL, TABLE_NAME, RHS_JOIN_COL
from dj... | 0.363195 | 0.144843 |
import logging
import os
import subprocess
import sys
import threading
from typing import Optional, List, Tuple
import requests
from orangeshare import Config
from orangeshare.temp_dir import temp_dir
from orangeshare.updater.UpdatePopup import UpdatePopup
class Updater:
_instance = None
@staticmethod
... | orangeshare/updater/__init__.py | import logging
import os
import subprocess
import sys
import threading
from typing import Optional, List, Tuple
import requests
from orangeshare import Config
from orangeshare.temp_dir import temp_dir
from orangeshare.updater.UpdatePopup import UpdatePopup
class Updater:
_instance = None
@staticmethod
... | 0.650467 | 0.204104 |
from __future__ import print_function
import argparse, os, sys, time
import numpy as np
from hparams import hparams
from emotion_inferring.train import er_train
HPARAMETER_FILE = ''
def get_arguments(hparams):
parser = argparse.ArgumentParser(
description='Train The Emotion Recognition System')
parser.add... | train.py | from __future__ import print_function
import argparse, os, sys, time
import numpy as np
from hparams import hparams
from emotion_inferring.train import er_train
HPARAMETER_FILE = ''
def get_arguments(hparams):
parser = argparse.ArgumentParser(
description='Train The Emotion Recognition System')
parser.add... | 0.511717 | 0.059292 |
import urllib2
import json
from tempfile import TemporaryFile
from bz2file import BZ2File
from db import database, Change, State
from lxml import etree
from datetime import datetime
NOTES_URI = 'http://planet.openstreetmap.org/notes/planet-notes-latest.osn.bz2'
def check_update():
request = urllib2.Request(NOTES... | mmwatch/server/parse_notes.py | import urllib2
import json
from tempfile import TemporaryFile
from bz2file import BZ2File
from db import database, Change, State
from lxml import etree
from datetime import datetime
NOTES_URI = 'http://planet.openstreetmap.org/notes/planet-notes-latest.osn.bz2'
def check_update():
request = urllib2.Request(NOTES... | 0.19962 | 0.094135 |
# lib
import random
# third party
# project
class Dice:
"""Base class for a dice."""
def __init__(self, **kwargs):
self.kwargs = kwargs
self.rolls = []
self.dice_count = 1
self.roll_count = 1
def roll(self, count=None):
"""Implement in sub-class"""
raise N... | pyprototypr/dice.py | # lib
import random
# third party
# project
class Dice:
"""Base class for a dice."""
def __init__(self, **kwargs):
self.kwargs = kwargs
self.rolls = []
self.dice_count = 1
self.roll_count = 1
def roll(self, count=None):
"""Implement in sub-class"""
raise N... | 0.734215 | 0.241489 |
import unittest
import mock
try:
from opentelemetry import trace
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export import SimpleSpanProcessor
from opentelemetry.sdk.trace.export.in_memory_span_exporter import (
InMemorySpanExporter,
)
from openteleme... | tests/_helpers.py | import unittest
import mock
try:
from opentelemetry import trace
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export import SimpleSpanProcessor
from opentelemetry.sdk.trace.export.in_memory_span_exporter import (
InMemorySpanExporter,
)
from openteleme... | 0.464902 | 0.282586 |
import os
from setuptools import find_packages, setup
readme = open('README.rst').read()
history = open('CHANGES.rst').read()
tests_require = [
'Flask-BabelEx>=0.9.4',
'Flask-Menu>=0.5.0',
'SQLAlchemy-Continuum>=1.2.1',
'check-manifest>=0.25',
'coverage>=4.0',
'invenio-access>=1.2.0',
'in... | setup.py | import os
from setuptools import find_packages, setup
readme = open('README.rst').read()
history = open('CHANGES.rst').read()
tests_require = [
'Flask-BabelEx>=0.9.4',
'Flask-Menu>=0.5.0',
'SQLAlchemy-Continuum>=1.2.1',
'check-manifest>=0.25',
'coverage>=4.0',
'invenio-access>=1.2.0',
'in... | 0.308294 | 0.119897 |
import os
import sys
from os.path import basename
base_path = tmp_global_obj["basepath"]
cur_path = base_path + 'modules' + os.sep + 'zipper' + os.sep + 'libs' + os.sep
if cur_path not in sys.path:
sys.path.append(cur_path)
import pyzipper
"""
Obtengo el modulo que fueron invocados
"""
module = GetParams("mo... | __init__.py | import os
import sys
from os.path import basename
base_path = tmp_global_obj["basepath"]
cur_path = base_path + 'modules' + os.sep + 'zipper' + os.sep + 'libs' + os.sep
if cur_path not in sys.path:
sys.path.append(cur_path)
import pyzipper
"""
Obtengo el modulo que fueron invocados
"""
module = GetParams("mo... | 0.159577 | 0.11004 |
import json
from tencentcloud.common.exception.tencent_cloud_sdk_exception import TencentCloudSDKException
from tencentcloud.common.abstract_client import AbstractClient
from tencentcloud.eiam.v20210420 import models
class EiamClient(AbstractClient):
_apiVersion = '2021-04-20'
_endpoint = 'eiam.tencentcloud... | tencentcloud/eiam/v20210420/eiam_client.py |
import json
from tencentcloud.common.exception.tencent_cloud_sdk_exception import TencentCloudSDKException
from tencentcloud.common.abstract_client import AbstractClient
from tencentcloud.eiam.v20210420 import models
class EiamClient(AbstractClient):
_apiVersion = '2021-04-20'
_endpoint = 'eiam.tencentcloud... | 0.311217 | 0.043814 |
import sys
import csv
import spacy
import contractions
from wordseg import segment
from spacy.tokenizer import Tokenizer
def replaceMentions(token, user_mentions):
username = None
for user in user_mentions:
if(user['screen_name'] == token[1:]):
username = user['name']
break
return username
#Tokenizer instr... | 4.tweet_preprocessing/tweet_preprocess_part2.py | import sys
import csv
import spacy
import contractions
from wordseg import segment
from spacy.tokenizer import Tokenizer
def replaceMentions(token, user_mentions):
username = None
for user in user_mentions:
if(user['screen_name'] == token[1:]):
username = user['name']
break
return username
#Tokenizer instr... | 0.057725 | 0.127354 |
import tensorflow as tf
import tensorflow_transform as tft
from tensorflow.keras.callbacks import TensorBoard
from tensorflow_hub import KerasLayer
from tensorflow.keras.layers import Dense
from tensorflow.keras.models import Sequential
from tfx_bsl.tfxio import dataset_options
from config import (
HUB_URL,
H... | notebooks/tfx_pipelines/guided_projects/guided_project_3_nlp_starter/model.py | import tensorflow as tf
import tensorflow_transform as tft
from tensorflow.keras.callbacks import TensorBoard
from tensorflow_hub import KerasLayer
from tensorflow.keras.layers import Dense
from tensorflow.keras.models import Sequential
from tfx_bsl.tfxio import dataset_options
from config import (
HUB_URL,
H... | 0.850608 | 0.352007 |
from pyomo.environ import *
model = m = ConcreteModel()
m.x2 = Var(within=Reals,bounds=(0.1,3.4),initialize=0.1)
m.x3 = Var(within=Reals,bounds=(0.1,3.4),initialize=0.1)
m.x4 = Var(within=Reals,bounds=(0.1,3.4),initialize=0.1)
m.x5 = Var(within=Reals,bounds=(0.1,3.4),initialize=0.1)
m.x6 = Var(within=Reals,bounds=... | tests/examples/minlplib/space25a.py |
from pyomo.environ import *
model = m = ConcreteModel()
m.x2 = Var(within=Reals,bounds=(0.1,3.4),initialize=0.1)
m.x3 = Var(within=Reals,bounds=(0.1,3.4),initialize=0.1)
m.x4 = Var(within=Reals,bounds=(0.1,3.4),initialize=0.1)
m.x5 = Var(within=Reals,bounds=(0.1,3.4),initialize=0.1)
m.x6 = Var(within=Reals,bounds=... | 0.505127 | 0.22792 |
import json
import mock
from oslo_config import cfg
from zake import fake_client
from poppy.provider.akamai.mod_san_queue import zookeeper_queue
from tests.unit import base
AKAMAI_OPTIONS = [
# queue backend configs
cfg.StrOpt(
'queue_backend_type',
help='SAN Cert Queueing backend'),
cf... | tests/unit/provider/akamai/test_mod_san_queue.py |
import json
import mock
from oslo_config import cfg
from zake import fake_client
from poppy.provider.akamai.mod_san_queue import zookeeper_queue
from tests.unit import base
AKAMAI_OPTIONS = [
# queue backend configs
cfg.StrOpt(
'queue_backend_type',
help='SAN Cert Queueing backend'),
cf... | 0.443841 | 0.17434 |
import logging
from tool_shed.util import common_util, hg_util, shed_util_common as suc
log = logging.getLogger( __name__ )
def get_latest_changeset_revision( app, repository, repo ):
repository_tip = repository.tip( app )
repository_metadata = suc.get_repository_metadata_by_changeset_revision( app,
... | lib/tool_shed/util/metadata_util.py | import logging
from tool_shed.util import common_util, hg_util, shed_util_common as suc
log = logging.getLogger( __name__ )
def get_latest_changeset_revision( app, repository, repo ):
repository_tip = repository.tip( app )
repository_metadata = suc.get_repository_metadata_by_changeset_revision( app,
... | 0.527317 | 0.100613 |
from __future__ import absolute_import, unicode_literals
import datetime
import logging
import time
import uuid
from io import BytesIO
import attr
import gevent
import requests
from celery import Celery
from django.conf import settings
from django.contrib.auth.models import User
from django.core import cache
from dja... | corehq/apps/hqadmin/service_checks.py | from __future__ import absolute_import, unicode_literals
import datetime
import logging
import time
import uuid
from io import BytesIO
import attr
import gevent
import requests
from celery import Celery
from django.conf import settings
from django.contrib.auth.models import User
from django.core import cache
from dja... | 0.475362 | 0.084833 |
if not __name__.endswith('.plotting'):
raise Exception("Must do 'import psico.plotting' instead of 'run ...'")
from pymol import cmd, CmdException
def _showfigure(fig, filename, quiet):
'''
DESCRIPTION
Helper function for plot commands.
'''
if filename is None:
try:
fig.show()... | psico/plotting.py | if not __name__.endswith('.plotting'):
raise Exception("Must do 'import psico.plotting' instead of 'run ...'")
from pymol import cmd, CmdException
def _showfigure(fig, filename, quiet):
'''
DESCRIPTION
Helper function for plot commands.
'''
if filename is None:
try:
fig.show()... | 0.426322 | 0.385057 |
import unittest
import numpy as np
import torch
from parameterized import parameterized
from monai.transforms import Rand3DElastic
TEST_CASES = [
[
{
"magnitude_range": (0.3, 2.3),
"sigma_range": (1.0, 20.0),
"prob": 0.0,
"as_tensor_output": False,
... | tests/test_rand_elastic_3d.py |
import unittest
import numpy as np
import torch
from parameterized import parameterized
from monai.transforms import Rand3DElastic
TEST_CASES = [
[
{
"magnitude_range": (0.3, 2.3),
"sigma_range": (1.0, 20.0),
"prob": 0.0,
"as_tensor_output": False,
... | 0.663669 | 0.688657 |
import os
import logging
import json
import webapp2
from google.appengine.api import urlfetch
from google.appengine.ext import ndb
from google.appengine.ext.webapp import template
import models
import register_handler
BASE_URL = '/contexts/'
REGISTER_URL = BASE_URL + 'register'
class Context(models.BaseModel):
a... | context_store.py | import os
import logging
import json
import webapp2
from google.appengine.api import urlfetch
from google.appengine.ext import ndb
from google.appengine.ext.webapp import template
import models
import register_handler
BASE_URL = '/contexts/'
REGISTER_URL = BASE_URL + 'register'
class Context(models.BaseModel):
a... | 0.223208 | 0.04778 |
import re
from nonebot import IntentCommand, CommandSession
from nalomu.commands import BaseCommand, method_command, method_parser, method_nlp
from nalomu.util import is_number
from .data_source import NUser, fortune_list, fortune_list_image
class UserCommands(BaseCommand):
def __init__(self, session: CommandSe... | nalomu/plugins/user/UserCommands.py | import re
from nonebot import IntentCommand, CommandSession
from nalomu.commands import BaseCommand, method_command, method_parser, method_nlp
from nalomu.util import is_number
from .data_source import NUser, fortune_list, fortune_list_image
class UserCommands(BaseCommand):
def __init__(self, session: CommandSe... | 0.33372 | 0.087213 |
import math, numpy
from . import base, configure, modifier, transfer
class Layer(base.Net):
'''
Base class for all Layers
'''
def __init__(self, inputs, outputs, alpha = None):
'''
Constructor
: param inputs : dimension of input feature space
: param outputs : dimension of output feature space
: par... | net/layer.py | import math, numpy
from . import base, configure, modifier, transfer
class Layer(base.Net):
'''
Base class for all Layers
'''
def __init__(self, inputs, outputs, alpha = None):
'''
Constructor
: param inputs : dimension of input feature space
: param outputs : dimension of output feature space
: par... | 0.529993 | 0.47098 |
import os
import argparse
def executedSortedGziped(filename,query):
if verbose:
print(mysql_command_line + query + chromClause + "\" > " + outDir + filename);
os.system(mysql_command_line + query + chromClause + "\" > " + outDir + filename);
if verbose:
print("(head -n 1; sort -k 1,1) < " + outDir + filenam... | cellbase-app/app/bin/ensembl-scripts/variation.py |
import os
import argparse
def executedSortedGziped(filename,query):
if verbose:
print(mysql_command_line + query + chromClause + "\" > " + outDir + filename);
os.system(mysql_command_line + query + chromClause + "\" > " + outDir + filename);
if verbose:
print("(head -n 1; sort -k 1,1) < " + outDir + filenam... | 0.235636 | 0.075483 |
import sched
import json
import time
import logging
from uk_covid19 import Cov19API
import os
def parse_csv_data(csv_filename: str) -> list[str]:
"""
Takes in covid data csv file and returns list of each row as a string
Note: Returns the same data format as the parse_json_data function
Keyword argumen... | covid_dashboard/covid_data_handler.py | import sched
import json
import time
import logging
from uk_covid19 import Cov19API
import os
def parse_csv_data(csv_filename: str) -> list[str]:
"""
Takes in covid data csv file and returns list of each row as a string
Note: Returns the same data format as the parse_json_data function
Keyword argumen... | 0.596786 | 0.412648 |
import time
import os
import sys
import threading
try:
import hl_vt100
except ImportError:
print "Please install hl_vt100 : "
print " -> https://github.com/JulienPalard/vt100-emulator"
sys.exit(1)
import BaseHTTPServer
import SocketServer
try:
from argparse import ArgumentParser
except ImportError:
... | ashttp.py | import time
import os
import sys
import threading
try:
import hl_vt100
except ImportError:
print "Please install hl_vt100 : "
print " -> https://github.com/JulienPalard/vt100-emulator"
sys.exit(1)
import BaseHTTPServer
import SocketServer
try:
from argparse import ArgumentParser
except ImportError:
... | 0.214034 | 0.092729 |
num_list = [0,5,10,15,20,25,30,35,40]
del num_list[2:5]
# result [0,5,25,30,35,40]
print(f'current list is ; {num_list}')
'''
Slicing Strings vs. Lists
Slicing a list will return a copy of that list and not a reference to the original list.
We can see this here: if we assign our list slice to another list, since the l... | src/3-learn-array-sequence-slice.py | num_list = [0,5,10,15,20,25,30,35,40]
del num_list[2:5]
# result [0,5,25,30,35,40]
print(f'current list is ; {num_list}')
'''
Slicing Strings vs. Lists
Slicing a list will return a copy of that list and not a reference to the original list.
We can see this here: if we assign our list slice to another list, since the l... | 0.40251 | 0.494202 |
from tkinter import Button
from btn_funs import create_btn, clear_entry, insert_ans, eval_expression
def show_btns(root, input_entry, result_entry):
r = 2
c = 0
count = 0
for i in range(0, 13):
if c == 3:
if count == 0:
plus_operator_btn = create_btn(root, input_ent... | btn_wids.py | from tkinter import Button
from btn_funs import create_btn, clear_entry, insert_ans, eval_expression
def show_btns(root, input_entry, result_entry):
r = 2
c = 0
count = 0
for i in range(0, 13):
if c == 3:
if count == 0:
plus_operator_btn = create_btn(root, input_ent... | 0.20264 | 0.115761 |
class WaterArea(object):
def __init__(self, nums):
self.nums = nums
self.length = len(nums)
def find_water_area(self, idx):
if idx == 0 or idx == (self.length - 1):
return 0
left_idx, left_max = self.get_left_max(idx)
right_idx, right_max = self.get_right_ma... | standing_water/brute_force.py | class WaterArea(object):
def __init__(self, nums):
self.nums = nums
self.length = len(nums)
def find_water_area(self, idx):
if idx == 0 or idx == (self.length - 1):
return 0
left_idx, left_max = self.get_left_max(idx)
right_idx, right_max = self.get_right_ma... | 0.692226 | 0.378574 |
决策树一般流程
1、收集数据：可以使用任何方法
2、准备数据：树构造只适用于标称型数据，因此数值型数据必须离散化
3、分析数据：可以使用任何方法，构造树完成之后，我们应该检查图形是否符合预期
4、训练算法：构造树的数据结构
5、测试算法：使用经验树计算错误率
6、使用算法：此步骤可以适用于任何监督学习算法，而使用决策树可以更好的理解数据的内在含义
'''
from math import log
class Tree:
def __init__(self):
pass
# 计算给定数据集的香农熵
def calShannonEnt(self,dataSet):
numEn... | classification/decision_tree.py | 决策树一般流程
1、收集数据：可以使用任何方法
2、准备数据：树构造只适用于标称型数据，因此数值型数据必须离散化
3、分析数据：可以使用任何方法，构造树完成之后，我们应该检查图形是否符合预期
4、训练算法：构造树的数据结构
5、测试算法：使用经验树计算错误率
6、使用算法：此步骤可以适用于任何监督学习算法，而使用决策树可以更好的理解数据的内在含义
'''
from math import log
class Tree:
def __init__(self):
pass
# 计算给定数据集的香农熵
def calShannonEnt(self,dataSet):
numEn... | 0.233357 | 0.631765 |
import logging
from services.common import pusher as push_service
from services.leop.jrpc.serializers import launch as launch_serial
from services.leop.jrpc.serializers import messages as message_serializers
logger = logging.getLogger('leop')
class LaunchPush(object):
"""Push service
Object that contains a ... | services/leop/push.py | import logging
from services.common import pusher as push_service
from services.leop.jrpc.serializers import launch as launch_serial
from services.leop.jrpc.serializers import messages as message_serializers
logger = logging.getLogger('leop')
class LaunchPush(object):
"""Push service
Object that contains a ... | 0.674265 | 0.220321 |