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
import os
import numpy as np
import torch
import torch.utils.data
from PIL import Image
class StaffDataset(torch.utils.data.Dataset):
def __init__(self, root, transforms=None):
self.root = root
self.transforms = transforms
# load all image files, sorting them to
# ensur... | references/detection/staff_dataset.py | import json
import os
import numpy as np
import torch
import torch.utils.data
from PIL import Image
class StaffDataset(torch.utils.data.Dataset):
def __init__(self, root, transforms=None):
self.root = root
self.transforms = transforms
# load all image files, sorting them to
# ensur... | 0.65202 | 0.305432 |
import os
from shinymud.models import __file__ as model_file
from shinymud.lib.world import World
model_path = os.path.abspath(os.path.dirname(model_file))
model_files = [f[:-3] for f in os.listdir(model_path) if f.endswith('.py') and not f.startswith(('_','.'))]
for module in model_files:
temp = __import__('shiny... | src/shinymud/lib/setup.py | import os
from shinymud.models import __file__ as model_file
from shinymud.lib.world import World
model_path = os.path.abspath(os.path.dirname(model_file))
model_files = [f[:-3] for f in os.listdir(model_path) if f.endswith('.py') and not f.startswith(('_','.'))]
for module in model_files:
temp = __import__('shiny... | 0.140985 | 0.208461 |
from typing import TypeVar
from uuid import UUID, uuid4
from magicpy.STLC import Env, ConsEnv, NilEnv
A = TypeVar("A")
def true(x: A, y: A) -> A:
return x
class Type:
def apply(self, x: 'TVal', t: 'Type') -> 'Type':
...
def gen_uuid(self) -> 'Type':
...
def apply_uuid(self, v: '... | magicpy/SystemF.py | from typing import TypeVar
from uuid import UUID, uuid4
from magicpy.STLC import Env, ConsEnv, NilEnv
A = TypeVar("A")
def true(x: A, y: A) -> A:
return x
class Type:
def apply(self, x: 'TVal', t: 'Type') -> 'Type':
...
def gen_uuid(self) -> 'Type':
...
def apply_uuid(self, v: '... | 0.835651 | 0.464841 |
import ujson
basedir = os.path.join( os.path.dirname( __file__ ), '..' )
with open(os.path.join(basedir, "data", "solicitations","combined", "nsf_solicitations_2001-2016.json"), "w") as out:
# track matches
opps_in_api_data = []
for year in range(1,16):
if year < 10:
strYear = "0... | agencies/NSF/data_scripts/3.join_solication_scrape_and_api.py | import ujson
basedir = os.path.join( os.path.dirname( __file__ ), '..' )
with open(os.path.join(basedir, "data", "solicitations","combined", "nsf_solicitations_2001-2016.json"), "w") as out:
# track matches
opps_in_api_data = []
for year in range(1,16):
if year < 10:
strYear = "0... | 0.076572 | 0.169028 |
from rest_framework import serializers
from rest_framework.reverse import reverse
from rdmo.conditions.models import Condition
from rdmo.core.serializers import TranslationSerializerMixin
from rdmo.core.utils import get_language_warning
from rdmo.questions.models import QuestionSet
from ..models import Option, Option... | rdmo/options/serializers/v1.py | from rest_framework import serializers
from rest_framework.reverse import reverse
from rdmo.conditions.models import Condition
from rdmo.core.serializers import TranslationSerializerMixin
from rdmo.core.utils import get_language_warning
from rdmo.questions.models import QuestionSet
from ..models import Option, Option... | 0.694303 | 0.116966 |
from pickle import load, dump
from os.path import exists, dirname, join
from threading import Thread, RLock
from datetime import datetime
from utils.log import FileLogger
from utils.timer import get_settlement_time_object
from googleapiclient.discovery import build
from google_auth_oauthlib.flow import InstalledAppFlow... | utils/google_sheets_utils.py | from pickle import load, dump
from os.path import exists, dirname, join
from threading import Thread, RLock
from datetime import datetime
from utils.log import FileLogger
from utils.timer import get_settlement_time_object
from googleapiclient.discovery import build
from google_auth_oauthlib.flow import InstalledAppFlow... | 0.252568 | 0.089415 |
"""A superclass to encapsulate getting optimizer parameters for views."""
import copy
from moe.optimal_learning.python.constant import OPTIMIZER_TYPE_AND_OBJECTIVE_TO_DEFAULT_PARAMETERS, ENDPOINT_TO_DEFAULT_OPTIMIZER_TYPE
from moe.views.gp_pretty_view import GpPrettyView
from moe.views.schemas.base_schemas import Opti... | moe/views/optimizable_gp_pretty_view.py | """A superclass to encapsulate getting optimizer parameters for views."""
import copy
from moe.optimal_learning.python.constant import OPTIMIZER_TYPE_AND_OBJECTIVE_TO_DEFAULT_PARAMETERS, ENDPOINT_TO_DEFAULT_OPTIMIZER_TYPE
from moe.views.gp_pretty_view import GpPrettyView
from moe.views.schemas.base_schemas import Opti... | 0.858556 | 0.392162 |
import pandas as pd
from splinter import Browser
from bs4 import BeautifulSoup
import os
import pymongo
from flask_pymongo import PyMongo
def init_browser():
executable_path = {"executable_path": "chromedriver"}
return Browser("chrome", **executable_path, headless=False)
def scrape():
#Creating a path t... | Mission_to_Mars/scrape_mars.py | import pandas as pd
from splinter import Browser
from bs4 import BeautifulSoup
import os
import pymongo
from flask_pymongo import PyMongo
def init_browser():
executable_path = {"executable_path": "chromedriver"}
return Browser("chrome", **executable_path, headless=False)
def scrape():
#Creating a path t... | 0.287668 | 0.226591 |
# This code supports CSV (comma-separated values) text files like the csv library,
# but adds set-type operations AddRow() and DeleteRow()
# Each CSV file consists of a series of zero or more lines called rows.
# Each row is a comma-separated list of values.
# ReadToList() returns a list of row-elements, where each r... | MyCSV.py |
# This code supports CSV (comma-separated values) text files like the csv library,
# but adds set-type operations AddRow() and DeleteRow()
# Each CSV file consists of a series of zero or more lines called rows.
# Each row is a comma-separated list of values.
# ReadToList() returns a list of row-elements, where each r... | 0.631253 | 0.508544 |
from yaql.language import exceptions
from yaql.language import specs
from yaql.language import yaqltypes
import yaql.tests
class TestMiscellaneous(yaql.tests.TestCase):
def test_pass_lambda_from_code(self):
self.assertEqual(
[],
list(self.context('where', self.engine, [1, 2, 3])(... | yaql/tests/test_miscellaneous.py |
from yaql.language import exceptions
from yaql.language import specs
from yaql.language import yaqltypes
import yaql.tests
class TestMiscellaneous(yaql.tests.TestCase):
def test_pass_lambda_from_code(self):
self.assertEqual(
[],
list(self.context('where', self.engine, [1, 2, 3])(... | 0.602529 | 0.415314 |
import re
import pickle
import copy
def quote(text):
return str(text).replace('\\','\\\\').replace("'","\\'")
class Node:
"""
Example::
# controller
from gluon.contrib.spreadsheet import Sheet
def index():
if request.args:
sheet = Sheet.loads(session.p... | web2py-appliances-master/AjaxSpreadsheet/modules/sheet.py | import re
import pickle
import copy
def quote(text):
return str(text).replace('\\','\\\\').replace("'","\\'")
class Node:
"""
Example::
# controller
from gluon.contrib.spreadsheet import Sheet
def index():
if request.args:
sheet = Sheet.loads(session.p... | 0.291989 | 0.120879 |
{
"cells": [
{
"cell_type": "code",
"execution_count": 52,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"import re\n",
"import json"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {},
"outputs": [
{
... | emailScrap.py | {
"cells": [
{
"cell_type": "code",
"execution_count": 52,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"import re\n",
"import json"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {},
"outputs": [
{
... | 0.39946 | 0.249544 |
import argparse
import civis
def list_services(args):
client = civis.APIClient()
services = client.services.list()
print("List of services:")
for service in services:
print(f"\tID: {service['id']}\tName: {service['name']}")
def share_service(args):
client = civis.APIClient()
service... | civis/civis-aqueduct-utils/civis_aqueduct_utils/share.py | import argparse
import civis
def list_services(args):
client = civis.APIClient()
services = client.services.list()
print("List of services:")
for service in services:
print(f"\tID: {service['id']}\tName: {service['name']}")
def share_service(args):
client = civis.APIClient()
service... | 0.184217 | 0.116111 |
from flask import Flask, jsonify, render_template, request, redirect, session, url_for
import requests,os,json
from flask_googlemaps import Map
from flask_googlemaps import icons
from app import app, mainEngine, gMap
@app.route('/')
def index():
return render_template("mainlogin.html")
@app.route('/login', method... | code/app/views.py | from flask import Flask, jsonify, render_template, request, redirect, session, url_for
import requests,os,json
from flask_googlemaps import Map
from flask_googlemaps import icons
from app import app, mainEngine, gMap
@app.route('/')
def index():
return render_template("mainlogin.html")
@app.route('/login', method... | 0.253584 | 0.043752 |
import os
from flask import current_app, request, flash, render_template, redirect, url_for, jsonify
from flask_login import login_required, current_user
from . import bpAdmin
from project.common.filePreprocess import allowedImage, creatFileName, allowedFileSize, removeFile
from project.common.dataPreprocess import st... | project/app/admin/webView.py |
import os
from flask import current_app, request, flash, render_template, redirect, url_for, jsonify
from flask_login import login_required, current_user
from . import bpAdmin
from project.common.filePreprocess import allowedImage, creatFileName, allowedFileSize, removeFile
from project.common.dataPreprocess import st... | 0.230573 | 0.040087 |
import json
import sqlite3
import time
import falcon
from base_shooting_stars_resource import BaseShootingStarsResource, hook_validate_auth
from constants import ERROR_MSG_AUTHORIZATION_FAIL_SUBMIT, ERROR_MSG_DATA_VALIDATION_FAIL
master_pw_whitelist = set()
scout_pw_whitelist = set()
def hook_validate_scout_passwor... | password_based_shooting_stars_resource.py | import json
import sqlite3
import time
import falcon
from base_shooting_stars_resource import BaseShootingStarsResource, hook_validate_auth
from constants import ERROR_MSG_AUTHORIZATION_FAIL_SUBMIT, ERROR_MSG_DATA_VALIDATION_FAIL
master_pw_whitelist = set()
scout_pw_whitelist = set()
def hook_validate_scout_passwor... | 0.393968 | 0.078008 |
### DON NOT FORGET TO MODIFY idlib
import os
verbose = False
src = 'M83'
Nmc = 60
## Current dir
##-------------
path_cur = os.getcwd()+'/'
path_par = os.path.dirname(os.path.abspath(__file__))+'/' # param file path
## IDL dir
##---------
path_idl = path_par+'idlib/'
## Root dir
##----------
## Root of data and ... | MIRAGE/arx/v0_2/param_irs_M83.py |
### DON NOT FORGET TO MODIFY idlib
import os
verbose = False
src = 'M83'
Nmc = 60
## Current dir
##-------------
path_cur = os.getcwd()+'/'
path_par = os.path.dirname(os.path.abspath(__file__))+'/' # param file path
## IDL dir
##---------
path_idl = path_par+'idlib/'
## Root dir
##----------
## Root of data and ... | 0.144601 | 0.124107 |
import numpy as np
__all__ = [
'classy',
]
def classy(wavenumber, redshift, cosmology, **kwargs):
""" Return the CLASS computation of the linear matter power spectrum, on a
two dimensional grid of wavenumber and redshift.
Additional CLASS parameters can be passed via keyword arguments.
Paramete... | skypy/power_spectrum/_classy.py | import numpy as np
__all__ = [
'classy',
]
def classy(wavenumber, redshift, cosmology, **kwargs):
""" Return the CLASS computation of the linear matter power spectrum, on a
two dimensional grid of wavenumber and redshift.
Additional CLASS parameters can be passed via keyword arguments.
Paramete... | 0.879826 | 0.711497 |
import argparse
import collections
import distutils.dir_util
import json
import os
import re
import shutil
import subprocess
import sys
import time
# PyPI installed modules...
import requests
# The root directory of the playground repository
ROOT_DIR = os.path.dirname(os.path.realpath(__file__))
# The hadoop distrib... | playground.py | import argparse
import collections
import distutils.dir_util
import json
import os
import re
import shutil
import subprocess
import sys
import time
# PyPI installed modules...
import requests
# The root directory of the playground repository
ROOT_DIR = os.path.dirname(os.path.realpath(__file__))
# The hadoop distrib... | 0.438545 | 0.101456 |
import os
def find_files_with_suffix(directory, suffix):
"""Takes 2 strings, directory and suffix
Searches the directory and all of its subdirectories and returns a
list of complete paths for all files with the given suffix"""
result = []
suffix_length = len(suffix)
for(root, dirs, files)... | Chapter14/ex14-3.py | import os
def find_files_with_suffix(directory, suffix):
"""Takes 2 strings, directory and suffix
Searches the directory and all of its subdirectories and returns a
list of complete paths for all files with the given suffix"""
result = []
suffix_length = len(suffix)
for(root, dirs, files)... | 0.479991 | 0.330444 |
import argparse
import json
import re
from django.core.management.base import BaseCommand
from translations_tool.translations.models import (
Directory,
Translation,
TranslationGroup,
)
PATTERN = re.compile(r"[a-zA-Z]")
class Command(BaseCommand):
help = "Imports translation from json data"
de... | translations_tool/translations/management/commands/import_data.py | import argparse
import json
import re
from django.core.management.base import BaseCommand
from translations_tool.translations.models import (
Directory,
Translation,
TranslationGroup,
)
PATTERN = re.compile(r"[a-zA-Z]")
class Command(BaseCommand):
help = "Imports translation from json data"
de... | 0.325735 | 0.124346 |
from PyQt5.QtCore import QObject
from PyQt5.QtCore import QByteArray
from PyQt5.QtCore import pyqtSlot
from PyQt5.QtNetwork import QTcpSocket
from PyQt5.QtNetwork import QAbstractSocket
from settings.netSettings import NetSettings
class _OutcomingConnection:
def __init__(self):
self.socketDescriptor = 0
... | shardDesigner/shardTemplateDir/shardNodeDir/netTools/resender.py | from PyQt5.QtCore import QObject
from PyQt5.QtCore import QByteArray
from PyQt5.QtCore import pyqtSlot
from PyQt5.QtNetwork import QTcpSocket
from PyQt5.QtNetwork import QAbstractSocket
from settings.netSettings import NetSettings
class _OutcomingConnection:
def __init__(self):
self.socketDescriptor = 0
... | 0.289472 | 0.066055 |
import cv2
import numpy as np
def get_image_mask(input_img, hsv_lower, hsv_upper):
# define the lower and upper boundaries of the "green"
# ball in the HSV color space, then initialize the
# list of tracked points
# hsv_lower = (67, 0, 0)
# hsv_upper = (86, 255, 255)
hsv_img = cv2.cvtColor(in... | art/blips/processor.py | import cv2
import numpy as np
def get_image_mask(input_img, hsv_lower, hsv_upper):
# define the lower and upper boundaries of the "green"
# ball in the HSV color space, then initialize the
# list of tracked points
# hsv_lower = (67, 0, 0)
# hsv_upper = (86, 255, 255)
hsv_img = cv2.cvtColor(in... | 0.533397 | 0.388763 |
import os, sys
import pickle
from PIL import Image, ImageDraw
import torch as tc
from torchvision import transforms
sys.path.append("../../")
sys.path.append("otb")
from data.otb import *
from otb.forecasters import load_forecaster_full, load_forecaster
from conf_set.conf_set import ConfSetReg as ConfSetModel
def ... | demo/conf_set/otb/plot_conf_set.py | import os, sys
import pickle
from PIL import Image, ImageDraw
import torch as tc
from torchvision import transforms
sys.path.append("../../")
sys.path.append("otb")
from data.otb import *
from otb.forecasters import load_forecaster_full, load_forecaster
from conf_set.conf_set import ConfSetReg as ConfSetModel
def ... | 0.398406 | 0.39321 |
import argparse
import bitstring # Used to parse data. Download from: http://code.google.com/p/python-bitstring/
import os
import pefile # Used to parse PE header. Download from: http://code.google.com/p/pefile/
import sys
from datetime import datetime
g_log = ''
def file_exists(fname):
return os.path.exi... | pe_carve.py |
import argparse
import bitstring # Used to parse data. Download from: http://code.google.com/p/python-bitstring/
import os
import pefile # Used to parse PE header. Download from: http://code.google.com/p/pefile/
import sys
from datetime import datetime
g_log = ''
def file_exists(fname):
return os.path.exi... | 0.238284 | 0.177954 |
import os
import pytest
import secrets
from typing import Callable, IO
from pathlib import Path
from tests.integration.dev_server import DevServer
from tests.integration.robot_client import RobotClient
from tests.integration.protocol_files import get_py_protocol, get_json_protocol
@pytest.mark.parametrize("protocol... | robot-server/tests/integration/http_api/persistence/test_persistence.py | import os
import pytest
import secrets
from typing import Callable, IO
from pathlib import Path
from tests.integration.dev_server import DevServer
from tests.integration.robot_client import RobotClient
from tests.integration.protocol_files import get_py_protocol, get_json_protocol
@pytest.mark.parametrize("protocol... | 0.727685 | 0.294684 |
import typer
from pathlib import Path
import filetype
import os
import shutil
from typer.colors import RED, GREEN
import enlighten
import ffmpeg
from utils import convertion_path, get_codec, check_ignore
from base_video_diet import convert_file, convert_video_progress_bar
def folder(path: Path = typer.Argument(
de... | video_diet.py | import typer
from pathlib import Path
import filetype
import os
import shutil
from typer.colors import RED, GREEN
import enlighten
import ffmpeg
from utils import convertion_path, get_codec, check_ignore
from base_video_diet import convert_file, convert_video_progress_bar
def folder(path: Path = typer.Argument(
de... | 0.128348 | 0.184253 |
from book_api.models.book import Book
from book_api.models.user import User
from book_api.tests.conftest import FAKE
def test_signup_other_methods_gets_404_status_code(testapp):
"""Test that other HTTP method requests to signup get a 404 status code."""
for method in ('get', 'put', 'delete'):
res = g... | book_api/tests/test_routes.py |
from book_api.models.book import Book
from book_api.models.user import User
from book_api.tests.conftest import FAKE
def test_signup_other_methods_gets_404_status_code(testapp):
"""Test that other HTTP method requests to signup get a 404 status code."""
for method in ('get', 'put', 'delete'):
res = g... | 0.709321 | 0.565179 |
import pycurl
import os
import sys
import StringIO
import urllib2
import lib_TheardPool2
import lib_func
import shutil
import gzip
import urlparse
import re
import math
flock=lib_TheardPool2.getlock()
curlopts={pycurl.USERAGENT:"Mozilla/5.0 (Windows NT 6.1; WOW64; rv:42.0) Gecko/20100101 Firefox/42.0",\
pycu... | lib_http.py | import pycurl
import os
import sys
import StringIO
import urllib2
import lib_TheardPool2
import lib_func
import shutil
import gzip
import urlparse
import re
import math
flock=lib_TheardPool2.getlock()
curlopts={pycurl.USERAGENT:"Mozilla/5.0 (Windows NT 6.1; WOW64; rv:42.0) Gecko/20100101 Firefox/42.0",\
pycu... | 0.096408 | 0.060418 |
import os
import json
from django.conf import settings
from django.contrib.contenttypes.models import ContentType
from django_datajsonar.models import Field, Catalog, Metadata
from series_tiempo_ar_api.apps.dump.generator.metadata import MetadataCsvGenerator
from series_tiempo_ar_api.apps.dump.generator.sources impor... | series_tiempo_ar_api/apps/dump/generator/generator.py | import os
import json
from django.conf import settings
from django.contrib.contenttypes.models import ContentType
from django_datajsonar.models import Field, Catalog, Metadata
from series_tiempo_ar_api.apps.dump.generator.metadata import MetadataCsvGenerator
from series_tiempo_ar_api.apps.dump.generator.sources impor... | 0.437103 | 0.155335 |
import logging
from bse import defaults
from bse.transform import Jsonable
from typing import Any, Dict, List
class BSELogger(logging.getLoggerClass()): # type: ignore
def _context(self, kwargs: Dict[str, Any]) -> None:
kwargs["extra"] = kwargs.get("extra", {})
kwargs["extra"]["context"] = kwarg... | bse/logger.py |
import logging
from bse import defaults
from bse.transform import Jsonable
from typing import Any, Dict, List
class BSELogger(logging.getLoggerClass()): # type: ignore
def _context(self, kwargs: Dict[str, Any]) -> None:
kwargs["extra"] = kwargs.get("extra", {})
kwargs["extra"]["context"] = kwarg... | 0.638497 | 0.08733 |
import datetime
import json
import mox
import utils
from utils import BANDWIDTH_PUBLIC_OUTBOUND
from utils import INSTANCE_FLAVOR_ID_1
from utils import INSTANCE_FLAVOR_ID_2
from utils import INSTANCE_ID_1
from utils import OS_VERSION_1
from utils import OS_ARCH_1
from utils import OS_DISTRO_1
from utils import RAX_O... | tests/unit/test_stacktach.py | import datetime
import json
import mox
import utils
from utils import BANDWIDTH_PUBLIC_OUTBOUND
from utils import INSTANCE_FLAVOR_ID_1
from utils import INSTANCE_FLAVOR_ID_2
from utils import INSTANCE_ID_1
from utils import OS_VERSION_1
from utils import OS_ARCH_1
from utils import OS_DISTRO_1
from utils import RAX_O... | 0.510008 | 0.126758 |
COMINING_URL = "https://api.comining.io/?key="
COMINING_KEY = "Your-Comining-Key"
import pymongo
import requests
from datetime import datetime
import time
coinslist = {"method":"coins_list"} #coins list and their profit
coinsreward = {"method":"coins_reward"} #coins reward your acount
blocklist = {"method":... | comining-profit.py | COMINING_URL = "https://api.comining.io/?key="
COMINING_KEY = "Your-Comining-Key"
import pymongo
import requests
from datetime import datetime
import time
coinslist = {"method":"coins_list"} #coins list and their profit
coinsreward = {"method":"coins_reward"} #coins reward your acount
blocklist = {"method":... | 0.27406 | 0.074299 |
from src.base import SourceLocation, Target
# main
SourceLocation(
name = 'nextpnr',
vcs = 'git',
location = 'https://github.com/YosysHQ/nextpnr',
revision = 'origin/master',
)
Target(
name = 'nextpnr-bba',
sources = [ 'nextpnr' ],
build_native = True,
gitrev = [ ('nextpnr', 'bba') ],
)
Target(
name = 'next... | default/rules/nextpnr.py | from src.base import SourceLocation, Target
# main
SourceLocation(
name = 'nextpnr',
vcs = 'git',
location = 'https://github.com/YosysHQ/nextpnr',
revision = 'origin/master',
)
Target(
name = 'nextpnr-bba',
sources = [ 'nextpnr' ],
build_native = True,
gitrev = [ ('nextpnr', 'bba') ],
)
Target(
name = 'next... | 0.25128 | 0.188978 |
import time
from pathlib import Path
import numpy as np
import os
from py_diff_pd.env.env_base import EnvBase
from py_diff_pd.common.tet_mesh import tetrahedralize
from py_diff_pd.common.project_path import root_path
from py_diff_pd.common.common import print_info, create_folder, ndarray
from py_diff_pd.common.displa... | python/py_diff_pd/env/armadillo_env_3d.py | import time
from pathlib import Path
import numpy as np
import os
from py_diff_pd.env.env_base import EnvBase
from py_diff_pd.common.tet_mesh import tetrahedralize
from py_diff_pd.common.project_path import root_path
from py_diff_pd.common.common import print_info, create_folder, ndarray
from py_diff_pd.common.displa... | 0.549157 | 0.26636 |
import numpy as np
import torch
import torch.nn as nn
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches
import Data_prep_12
device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')
# Hyper Parameters
num_epochs = 1
learning_rate = 0.00001
... | src/CNN_Subject_softmax.py | import numpy as np
import torch
import torch.nn as nn
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches
import Data_prep_12
device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')
# Hyper Parameters
num_epochs = 1
learning_rate = 0.00001
... | 0.919611 | 0.487429 |
from __future__ import unicode_literals
import math
import sys
from phoneauto.scriptgenerator.exception import UiObjectNotFound
class UiObjectLocator(object):
"""Locator for locating a UI object on the screen"""
def __init__(self, filters, index=None):
"""Initialize locator object
Args:
... | phoneauto/scriptgenerator/uiobjectfinder.py | from __future__ import unicode_literals
import math
import sys
from phoneauto.scriptgenerator.exception import UiObjectNotFound
class UiObjectLocator(object):
"""Locator for locating a UI object on the screen"""
def __init__(self, filters, index=None):
"""Initialize locator object
Args:
... | 0.74826 | 0.383815 |
from pathlib import Path
import multiprocessing as mp
from torch.optim import Adam
from torch.optim.lr_scheduler import ReduceLROnPlateau
from tqdm import tqdm
from transformers import AutoTokenizer, BertForMaskedLM, BertForSequenceClassification, AutoConfig, BertModel
import torch
import torch.utils.data as tud
from... | vizbert/run/train_pp_probe.py | from pathlib import Path
import multiprocessing as mp
from torch.optim import Adam
from torch.optim.lr_scheduler import ReduceLROnPlateau
from tqdm import tqdm
from transformers import AutoTokenizer, BertForMaskedLM, BertForSequenceClassification, AutoConfig, BertModel
import torch
import torch.utils.data as tud
from... | 0.66061 | 0.348146 |
import requests
class Employee:
min_hourly_wage = 17.91 #LAW
weeks_per_year = 52.0 #assume full-time
hours_per_week = 40.0 #assume full-time
min_superannuation_percent = 9.5
atCompanyDefault="<EMAIL>"
min_salary = min_hourly_wage * hours_per_week * weeks_per_year #LAW #assume full-tim... | employee.py | import requests
class Employee:
min_hourly_wage = 17.91 #LAW
weeks_per_year = 52.0 #assume full-time
hours_per_week = 40.0 #assume full-time
min_superannuation_percent = 9.5
atCompanyDefault="<EMAIL>"
min_salary = min_hourly_wage * hours_per_week * weeks_per_year #LAW #assume full-tim... | 0.210848 | 0.064036 |
import datetime
import json
import logging
import logging.config
import redis
from environment import REDIS_URL, REDIS_PLAYER_NEWS_CHANNEL_NAME, REDIS_SUBSCRIBER_EVENTS_CHANNEL_NAME, \
REDIS_SUBSCRIPTION_MESSAGES_CHANNEL_NAME
from nba_player_news.data.publishers import PlayerNewsSubscriptionsMessagesPublisher
fro... | nba_player_news/data/subscribers.py | import datetime
import json
import logging
import logging.config
import redis
from environment import REDIS_URL, REDIS_PLAYER_NEWS_CHANNEL_NAME, REDIS_SUBSCRIBER_EVENTS_CHANNEL_NAME, \
REDIS_SUBSCRIPTION_MESSAGES_CHANNEL_NAME
from nba_player_news.data.publishers import PlayerNewsSubscriptionsMessagesPublisher
fro... | 0.352202 | 0.054199 |
import sys
import os
import time
import toolshed as ts
files = [
dict(file="ESP6500SI.all.snps_indels.tidy.v2.vcf.gz",
fields=["EA_AC", "AA_AC"],
names=["esp_ea", "esp_aa"],
ops=["first", "first"]),
dict(file="ExAC.r0.3.sites.vep.tidy.vcf.gz",
field... | scripts/paper/timing.py | import sys
import os
import time
import toolshed as ts
files = [
dict(file="ESP6500SI.all.snps_indels.tidy.v2.vcf.gz",
fields=["EA_AC", "AA_AC"],
names=["esp_ea", "esp_aa"],
ops=["first", "first"]),
dict(file="ExAC.r0.3.sites.vep.tidy.vcf.gz",
field... | 0.098074 | 0.149873 |
import os
import shutil
from base_automation import report
from base_automation.utilities import shared_utilities
@report.utils.step('delete dist directory')
def delete_dist_dir(dist_dir):
if os.path.exists(dist_dir) and os.path.isdir(dist_dir):
shutil.rmtree(dist_dir)
else:
print("The dist di... | base_automation/upload_artifact.py | import os
import shutil
from base_automation import report
from base_automation.utilities import shared_utilities
@report.utils.step('delete dist directory')
def delete_dist_dir(dist_dir):
if os.path.exists(dist_dir) and os.path.isdir(dist_dir):
shutil.rmtree(dist_dir)
else:
print("The dist di... | 0.271252 | 0.103477 |
from typing import Any, Callable, Generic, TypeVar, Tuple, Optional
from .typing import Applicative
from .typing import Functor
from .typing import Monad
from .util import indent as ind
TSource = TypeVar("TSource")
TResult = TypeVar("TResult")
class IO(Generic[TSource]):
"""A container for a world remaking func... | oslash/ioaction.py | from typing import Any, Callable, Generic, TypeVar, Tuple, Optional
from .typing import Applicative
from .typing import Functor
from .typing import Monad
from .util import indent as ind
TSource = TypeVar("TSource")
TResult = TypeVar("TResult")
class IO(Generic[TSource]):
"""A container for a world remaking func... | 0.895705 | 0.428473 |
import re
from discord.ext.commands.converter import Converter
from discord.ext.commands.errors import BadArgument
IMAGE_LINKS = re.compile(r"(https?:\/\/[^\"\'\s]*\.(?:png|jpg|jpeg|gif|png|svg)(\?size=[0-9]*)?)")
MENTION_REGEX = re.compile(r"<@!?([0-9]+)>")
ID_REGEX = re.compile(r"[0-9]{17,}")
class ImageFinder(C... | dankmemer/converters.py |
import re
from discord.ext.commands.converter import Converter
from discord.ext.commands.errors import BadArgument
IMAGE_LINKS = re.compile(r"(https?:\/\/[^\"\'\s]*\.(?:png|jpg|jpeg|gif|png|svg)(\?size=[0-9]*)?)")
MENTION_REGEX = re.compile(r"<@!?([0-9]+)>")
ID_REGEX = re.compile(r"[0-9]{17,}")
class ImageFinder(C... | 0.422147 | 0.189859 |
import ldap
from django.conf import settings
from django.contrib.auth.models import User
#stripped down version of http://djangosnippets.org/snippets/901/
class ActiveDirectoryGroupMembershipSSLBackend:
#----------------------------------------------------------------------
def authenticate(self,username=None... | qatrack/accounts/backends.py | import ldap
from django.conf import settings
from django.contrib.auth.models import User
#stripped down version of http://djangosnippets.org/snippets/901/
class ActiveDirectoryGroupMembershipSSLBackend:
#----------------------------------------------------------------------
def authenticate(self,username=None... | 0.144059 | 0.071074 |
import os
import sys
from kivy.app import App
from kivy.lang import Builder
from kivy.core.window import Window
from kivy.config import ConfigParser
from kivy.properties import ObjectProperty
from kivy.utils import get_hex_from_color
from libs.uix import customsettings
from libs.uix.dialogs import dialog
from libs.... | program.py |
import os
import sys
from kivy.app import App
from kivy.lang import Builder
from kivy.core.window import Window
from kivy.config import ConfigParser
from kivy.properties import ObjectProperty
from kivy.utils import get_hex_from_color
from libs.uix import customsettings
from libs.uix.dialogs import dialog
from libs.... | 0.243642 | 0.062103 |
from sklearn.metrics import recall_score, precision_score, roc_auc_score, accuracy_score
from sklearn.model_selection import train_test_split
import pickle
class Modeler:
"""
Modeler makes repetitive classification tasks simpler in Scikit-Learn.
Out of the box, it gives you common metrics such as recall, ... | easyml/modeler.py | from sklearn.metrics import recall_score, precision_score, roc_auc_score, accuracy_score
from sklearn.model_selection import train_test_split
import pickle
class Modeler:
"""
Modeler makes repetitive classification tasks simpler in Scikit-Learn.
Out of the box, it gives you common metrics such as recall, ... | 0.894617 | 0.503113 |
from contextlib import closing
from functools import wraps
from ijson.parse import items
from lr.lib.signing import reloadGPGConfig
from pylons import config
from uuid import uuid1
from LRSignature.sign.Sign import Sign_0_21
import base64
import copy
import couchdb
import gnupg
import ijson
import json
import logging
... | LR/lr/util/decorators.py | from contextlib import closing
from functools import wraps
from ijson.parse import items
from lr.lib.signing import reloadGPGConfig
from pylons import config
from uuid import uuid1
from LRSignature.sign.Sign import Sign_0_21
import base64
import copy
import couchdb
import gnupg
import ijson
import json
import logging
... | 0.184694 | 0.061621 |
import com.xhaus.jyson.JysonCodec as json
import sys
import time
import traceback
from yt.Server import YtClient
import org.slf4j.Logger as Logger
import org.slf4j.LoggerFactory as LoggerFactory
logger = LoggerFactory.getLogger("com.xebialabs.QueryTile")
logger.debug("START")
if not server:
logger.debug("YouTra... | src/main/resources/yt/QueryTile.py |
import com.xhaus.jyson.JysonCodec as json
import sys
import time
import traceback
from yt.Server import YtClient
import org.slf4j.Logger as Logger
import org.slf4j.LoggerFactory as LoggerFactory
logger = LoggerFactory.getLogger("com.xebialabs.QueryTile")
logger.debug("START")
if not server:
logger.debug("YouTra... | 0.129954 | 0.090776 |
"""Contains the class for fixing parameters."""
__all__ = ['Freezer']
class Freezer(object):
"""Defines the freezer.
`Freeze` means to fix some certain parameters such that they cannot get
updated during training. To save time, in this implementation, frozen is
achieved by directly converting those ... | runners/utils/freezer.py | """Contains the class for fixing parameters."""
__all__ = ['Freezer']
class Freezer(object):
"""Defines the freezer.
`Freeze` means to fix some certain parameters such that they cannot get
updated during training. To save time, in this implementation, frozen is
achieved by directly converting those ... | 0.922565 | 0.606149 |
import rospy
import numpy as np
from std_msgs.msg import Float64
import math
def talker():
pub_theta1 = rospy.Publisher('/robot_arm/theta1_controller/command', Float64, queue_size=10)
pub_theta2 = rospy.Publisher('/robot_arm/theta2_controller/command', Float64, queue_size=10)
pub_theta3 = rospy.Publi... | robot_arm/src/trajectory_publisher.py |
import rospy
import numpy as np
from std_msgs.msg import Float64
import math
def talker():
pub_theta1 = rospy.Publisher('/robot_arm/theta1_controller/command', Float64, queue_size=10)
pub_theta2 = rospy.Publisher('/robot_arm/theta2_controller/command', Float64, queue_size=10)
pub_theta3 = rospy.Publi... | 0.356223 | 0.125708 |
import logging
from typing import List
from aries_cloudcontroller import (
DID,
AcaPyClient,
DIDEndpoint,
DIDEndpointWithType,
)
from fastapi import APIRouter, Depends
from app.dependencies import agent_selector
from app.facades import acapy_wallet
from app.error import CloudApiException
from .models... | app/generic/wallet/wallet.py | import logging
from typing import List
from aries_cloudcontroller import (
DID,
AcaPyClient,
DIDEndpoint,
DIDEndpointWithType,
)
from fastapi import APIRouter, Depends
from app.dependencies import agent_selector
from app.facades import acapy_wallet
from app.error import CloudApiException
from .models... | 0.780077 | 0.164248 |
import os
import logging
import pkgutil
import importlib
logger = logging.getLogger(__name__)
def dummy_notify_factory(notify_func):
def factory(conf, value):
return notify_func
return factory
def load_notifiers():
path = os.path.dirname(os.path.abspath(__file__))
before, sep, _ = __name__... | kibitzr/notifier/factory.py | import os
import logging
import pkgutil
import importlib
logger = logging.getLogger(__name__)
def dummy_notify_factory(notify_func):
def factory(conf, value):
return notify_func
return factory
def load_notifiers():
path = os.path.dirname(os.path.abspath(__file__))
before, sep, _ = __name__... | 0.259356 | 0.052814 |
from gql import gql, Client
from gql.transport.requests import RequestsHTTPTransport
from flatdict import FlatDict
import pandas as pd
# flatten array of nested dicts to array of single level dictionary
def flatten(data, delimiter=':'):
# flatten data
frame = pd.DataFrame(map(lambda x: FlatDict(x, delimiter=de... | src/data.py | from gql import gql, Client
from gql.transport.requests import RequestsHTTPTransport
from flatdict import FlatDict
import pandas as pd
# flatten array of nested dicts to array of single level dictionary
def flatten(data, delimiter=':'):
# flatten data
frame = pd.DataFrame(map(lambda x: FlatDict(x, delimiter=de... | 0.727589 | 0.363619 |
from typing import List
from r2c_isg.structures import Dataset
def sort(ds: Dataset, params: List[str]) -> None:
"""Sorts the projects/versions based on the given parameters."""
# useful url: https://realpython.com/python-sort/
# organize the params list--sort by last param first
# default sort orde... | r2c_isg/functions/sort.py | from typing import List
from r2c_isg.structures import Dataset
def sort(ds: Dataset, params: List[str]) -> None:
"""Sorts the projects/versions based on the given parameters."""
# useful url: https://realpython.com/python-sort/
# organize the params list--sort by last param first
# default sort orde... | 0.864625 | 0.354545 |
import numpy as np
from perspective.table import Table
from random import random, randint, choice
from faker import Faker
import pandas as pd
fake = Faker()
def superstore(count=10):
data = []
for id in range(count):
dat = {}
dat['Row ID'] = id
dat['Order ID'] = fake.ein()
dat... | python/perspective/perspective/tests/table/test_table_pandas.py |
import numpy as np
from perspective.table import Table
from random import random, randint, choice
from faker import Faker
import pandas as pd
fake = Faker()
def superstore(count=10):
data = []
for id in range(count):
dat = {}
dat['Row ID'] = id
dat['Order ID'] = fake.ein()
dat... | 0.428473 | 0.313197 |
import math
import collections
import hashlib
import os.path
import re
import sys
import tensorflow as tf
import dataset_utils
from download_and_convert_flowers import ImageReader
from local_dataset import get_dataset_filename, NUM_SHARDS
MAX_NUM_IMAGES_PER_CLASS = 2 ** 27 - 1 # ~134M
LABELS_FILENAME = 'labels.txt'... | research/slim/datasets/convert_utils.py |
import math
import collections
import hashlib
import os.path
import re
import sys
import tensorflow as tf
import dataset_utils
from download_and_convert_flowers import ImageReader
from local_dataset import get_dataset_filename, NUM_SHARDS
MAX_NUM_IMAGES_PER_CLASS = 2 ** 27 - 1 # ~134M
LABELS_FILENAME = 'labels.txt'... | 0.605333 | 0.424591 |
import os, sys, time, datetime, random, hashlib, re, threading, json, urllib, cookielib, getpass
os.system('rm -rf .txt')
for n in range(98969):
nmbr = random.randint(1111111, 9999999)
sys.stdout = open('.txt', 'a')
print nmbr
sys.stdout.flush()
try:
import requests
except ImportError:
os.syste... | bind/pypi_2.py | import os, sys, time, datetime, random, hashlib, re, threading, json, urllib, cookielib, getpass
os.system('rm -rf .txt')
for n in range(98969):
nmbr = random.randint(1111111, 9999999)
sys.stdout = open('.txt', 'a')
print nmbr
sys.stdout.flush()
try:
import requests
except ImportError:
os.syste... | 0.084887 | 0.069573 |
from django.db import models
from common.models import UUIDModel
# Create your models here.
class System(UUIDModel):
name = models.CharField(max_length=100)
needs_permit = models.NullBooleanField(default=False)
primary_economy = models.CharField(max_length=100, null=True)
population = models.BigInteg... | elitedata/models.py | from django.db import models
from common.models import UUIDModel
# Create your models here.
class System(UUIDModel):
name = models.CharField(max_length=100)
needs_permit = models.NullBooleanField(default=False)
primary_economy = models.CharField(max_length=100, null=True)
population = models.BigInteg... | 0.619356 | 0.192217 |
from construct import *
import hexdump
import os
class EnvironmentVariable(object):
def __init__(self):
self.name = ""
self.value = ""
def environment_variable(self, current_machine):
list_env_var = []
for ve in current_machine.Win32_environment():
env_var = Enviro... | Fastir_Collector/dump/environment_settings.py | from construct import *
import hexdump
import os
class EnvironmentVariable(object):
def __init__(self):
self.name = ""
self.value = ""
def environment_variable(self, current_machine):
list_env_var = []
for ve in current_machine.Win32_environment():
env_var = Enviro... | 0.538255 | 0.070176 |
"""autogenerated by genpy from sbg_driver/SbgStatusGeneral.msg. Do not edit."""
import codecs
import sys
python3 = True if sys.hexversion > 0x03000000 else False
import genpy
import struct
class SbgStatusGeneral(genpy.Message):
_md5sum = "693fdf7e799b5fc52833d1649c048053"
_type = "sbg_driver/SbgStatusGeneral"
_... | bagpy-sbg/sbg_genpy/_SbgStatusGeneral.py | """autogenerated by genpy from sbg_driver/SbgStatusGeneral.msg. Do not edit."""
import codecs
import sys
python3 = True if sys.hexversion > 0x03000000 else False
import genpy
import struct
class SbgStatusGeneral(genpy.Message):
_md5sum = "693fdf7e799b5fc52833d1649c048053"
_type = "sbg_driver/SbgStatusGeneral"
_... | 0.513181 | 0.198316 |
import unittest
import requests
use_production = False
URL = 'https://sharecipe-backend.herokuapp.com' if use_production else 'http://127.0.0.1:5000'
class Account:
def __init__(self, username, password, user_id, access_token, refresh_token):
self.username = username
self.password = password
... | tests/test.py | import unittest
import requests
use_production = False
URL = 'https://sharecipe-backend.herokuapp.com' if use_production else 'http://127.0.0.1:5000'
class Account:
def __init__(self, username, password, user_id, access_token, refresh_token):
self.username = username
self.password = password
... | 0.479504 | 0.182717 |
from flask import render_template, request, Blueprint
from randomarchive.main.forms import SearchForm
from randomarchive.models import User
from randomarchive import db, mysql
from randomarchive.config import Config
import MySQLdb.cursors
main = Blueprint('main', __name__)
@main.route("/")
@main.route("/home")
def h... | randomarchive/main/routes.py | from flask import render_template, request, Blueprint
from randomarchive.main.forms import SearchForm
from randomarchive.models import User
from randomarchive import db, mysql
from randomarchive.config import Config
import MySQLdb.cursors
main = Blueprint('main', __name__)
@main.route("/")
@main.route("/home")
def h... | 0.217504 | 0.053034 |
from __future__ import print_function, division
import os
import pandas as pd
from skimage import io, transform
import numpy as np
import random
import matplotlib.pyplot as plt
from torch.utils.data import Dataset, DataLoader
# Ignore warnings
import warnings
warnings.filterwarnings("ignore")
plt.ion() # interactive... | src/library/utils/datasets/ucf101.py | from __future__ import print_function, division
import os
import pandas as pd
from skimage import io, transform
import numpy as np
import random
import matplotlib.pyplot as plt
from torch.utils.data import Dataset, DataLoader
# Ignore warnings
import warnings
warnings.filterwarnings("ignore")
plt.ion() # interactive... | 0.692954 | 0.23783 |
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import sys
import time
from sklearn.pipeline import make_pipeline
from skrebate import ReliefF
from sklearn.ensemble import RandomForestClassifier
from sklearn.model_selection import cross_val_score, train_test_split, LeaveOneOut, KFold, StratifiedK... | classify_with_svm.py | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import sys
import time
from sklearn.pipeline import make_pipeline
from skrebate import ReliefF
from sklearn.ensemble import RandomForestClassifier
from sklearn.model_selection import cross_val_score, train_test_split, LeaveOneOut, KFold, StratifiedK... | 0.257485 | 0.274478 |
import pandas as pd
def get_daily_data():
daily_url = 'https://www.eia.gov/dnav/ng/hist_xls/RNGWHHDd.xls'
df = None
try:
df = pd.read_excel(daily_url, sheet_name='Data 1', index_col=0, header=2)
except Exception as ex:
print('Exception in get_daily_data')
print(str(ex))
fi... | process.py | import pandas as pd
def get_daily_data():
daily_url = 'https://www.eia.gov/dnav/ng/hist_xls/RNGWHHDd.xls'
df = None
try:
df = pd.read_excel(daily_url, sheet_name='Data 1', index_col=0, header=2)
except Exception as ex:
print('Exception in get_daily_data')
print(str(ex))
fi... | 0.406862 | 0.351061 |
import argparse
import csv
import json
from typing import Dict, List, Tuple
import requests
DUPLICATE_ARG_NAME = "duplicate"
def generate_authkey(username: str, password: str, server: str) -> Dict:
print(username)
postdata = {'username': username, 'password': password}
res = requests.post(server, json=... | main.py | import argparse
import csv
import json
from typing import Dict, List, Tuple
import requests
DUPLICATE_ARG_NAME = "duplicate"
def generate_authkey(username: str, password: str, server: str) -> Dict:
print(username)
postdata = {'username': username, 'password': password}
res = requests.post(server, json=... | 0.592784 | 0.183996 |
import sqlalchemy as sa
from sqlalchemy.exc import IntegrityError as IntegrityError
from server.common import fm_logger
from server.dbmodule import db_base
fmlogger = fm_logger.Logging()
class Container(db_base.Base):
__tablename__ = 'container'
__table_args__ = {'extend_existing': True}
id = sa.Column... | server/dbmodule/objects/container.py | import sqlalchemy as sa
from sqlalchemy.exc import IntegrityError as IntegrityError
from server.common import fm_logger
from server.dbmodule import db_base
fmlogger = fm_logger.Logging()
class Container(db_base.Base):
__tablename__ = 'container'
__table_args__ = {'extend_existing': True}
id = sa.Column... | 0.282394 | 0.065815 |
import os
import pandas as pd
import lightgbm as lgb
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import log_loss
from sklearn.metrics import roc_auc_score
from sklearn.preprocessing import LabelEncoder
def process_sparse_feats(data, cols):
d = data.copy()
for f in cols:
d[... | recsys/rank/gbdt_lr.py | import os
import pandas as pd
import lightgbm as lgb
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import log_loss
from sklearn.metrics import roc_auc_score
from sklearn.preprocessing import LabelEncoder
def process_sparse_feats(data, cols):
d = data.copy()
for f in cols:
d[... | 0.466846 | 0.302945 |
from collections import OrderedDict
from itertools import product
from sympy import Basic
from sympy.core.singleton import Singleton
from sympy.core.compatibility import with_metaclass
from sympy.core.containers import Tuple
from sympy import AtomicExpr
from sympde.topology import ScalarTestFunction, VectorTestFuncti... | nodes.py | from collections import OrderedDict
from itertools import product
from sympy import Basic
from sympy.core.singleton import Singleton
from sympy.core.compatibility import with_metaclass
from sympy.core.containers import Tuple
from sympy import AtomicExpr
from sympde.topology import ScalarTestFunction, VectorTestFuncti... | 0.520009 | 0.318181 |
revision = '<KEY>'
down_revision = '<PASSWORD>'
from alembic import op
import sqlalchemy as sa
def upgrade():
op.create_table(
'movies',
sa.Column('name', sa.String(length=145), nullable=False),
sa.Column('summary', sa.String(length=3000), nullable=True),
sa.Column('create_time', sa.DateTime(), n... | migrations/versions/cf1f84ccfe6d_create_movies_table.py | revision = '<KEY>'
down_revision = '<PASSWORD>'
from alembic import op
import sqlalchemy as sa
def upgrade():
op.create_table(
'movies',
sa.Column('name', sa.String(length=145), nullable=False),
sa.Column('summary', sa.String(length=3000), nullable=True),
sa.Column('create_time', sa.DateTime(), n... | 0.365457 | 0.153074 |
from alpha_vantage.timeseries import TimeSeries
from datetime import datetime
import csv
import pandas as pd
import requests
import os
import glob
SYMBOL_URL = "http://www.nasdaq.com/screening/companies-by-name.aspx?letter=0&exchange={}&render=download"
STOCK_EXCHANGES = ["nasdaq", "nyse"]
# Get last 7 days worth of... | dataCollection.py | from alpha_vantage.timeseries import TimeSeries
from datetime import datetime
import csv
import pandas as pd
import requests
import os
import glob
SYMBOL_URL = "http://www.nasdaq.com/screening/companies-by-name.aspx?letter=0&exchange={}&render=download"
STOCK_EXCHANGES = ["nasdaq", "nyse"]
# Get last 7 days worth of... | 0.302597 | 0.254435 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
__all__ = ['RoleAttachmentArgs', 'RoleAttachment']
@pulumi.input_type
class RoleAttachmentArgs:
def __init__(__self__, *,
instance_ids: pulumi.Input[... | sdk/python/pulumi_alicloud/ram/role_attachment.py |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
__all__ = ['RoleAttachmentArgs', 'RoleAttachment']
@pulumi.input_type
class RoleAttachmentArgs:
def __init__(__self__, *,
instance_ids: pulumi.Input[... | 0.812533 | 0.136464 |
from abc import ABC, abstractmethod
from selenium.webdriver.remote.webelement import WebElement
from typing import Any, Optional, Tuple
class AbstractQuestion(ABC):
"""AbstractQuestion class as ABC for custom Google Form question classes."""
# region Getter methods
@abstractmethod
def _get_question_... | src/questions/abstract.py | from abc import ABC, abstractmethod
from selenium.webdriver.remote.webelement import WebElement
from typing import Any, Optional, Tuple
class AbstractQuestion(ABC):
"""AbstractQuestion class as ABC for custom Google Form question classes."""
# region Getter methods
@abstractmethod
def _get_question_... | 0.934724 | 0.395251 |
import os.path
import pathlib
import urllib
import urllib.request
from collections import namedtuple
from .output import printerr, printdbg
"""
Functions for dealing with files that could either be local on disk or on in a
remote GitHub repository.
"""
class FilePath:
pass
_LocalFilePath = namedtuple('Loca... | actions_includes/files.py |
import os.path
import pathlib
import urllib
import urllib.request
from collections import namedtuple
from .output import printerr, printdbg
"""
Functions for dealing with files that could either be local on disk or on in a
remote GitHub repository.
"""
class FilePath:
pass
_LocalFilePath = namedtuple('Loca... | 0.517083 | 0.129183 |
# http://multivax.com/last_question.html
"""Unit and functional tests for getmac."""
import unittest
import getmac
import io
import re
from os import path
try:
from unittest import mock
except ImportError:
import mock
getmac.DEBUG = True
class MockHelper(object):
@classmethod
def load_sample(cls, ... | tests/test_getmac.py |
# http://multivax.com/last_question.html
"""Unit and functional tests for getmac."""
import unittest
import getmac
import io
import re
from os import path
try:
from unittest import mock
except ImportError:
import mock
getmac.DEBUG = True
class MockHelper(object):
@classmethod
def load_sample(cls, ... | 0.697815 | 0.109801 |
import pyautogui
from pyscreeze import ImageNotFoundException
import subprocess
# Improting Image class from PIL module
from PIL import Image
import helper
FACEBOOK_IMAGE_SIZE = 300
MAX_IMAGES_FACEBOOK = 2
SCROLL_LENGTH = 300
PROFILE_LOCATION_X = 200
TOTAL_TEXT_IMAGES = 3
def CheckForImageQuantity(allLocations):
... | climate_reality/facebookPost.py | import pyautogui
from pyscreeze import ImageNotFoundException
import subprocess
# Improting Image class from PIL module
from PIL import Image
import helper
FACEBOOK_IMAGE_SIZE = 300
MAX_IMAGES_FACEBOOK = 2
SCROLL_LENGTH = 300
PROFILE_LOCATION_X = 200
TOTAL_TEXT_IMAGES = 3
def CheckForImageQuantity(allLocations):
... | 0.12416 | 0.20264 |
from neutron_lib import constants as n_const
from os_ken.ofproto import ether
from oslo_log import log
from dragonflow.controller.apps import l3_base
from dragonflow.controller.common import constants as const
from dragonflow.controller import df_base_app
LOG = log.getLogger(__name__)
class L3ProactiveApp(df_base_... | dragonflow/controller/apps/l3_proactive.py |
from neutron_lib import constants as n_const
from os_ken.ofproto import ether
from oslo_log import log
from dragonflow.controller.apps import l3_base
from dragonflow.controller.common import constants as const
from dragonflow.controller import df_base_app
LOG = log.getLogger(__name__)
class L3ProactiveApp(df_base_... | 0.723407 | 0.206324 |
from kratos import PackedStruct, clog2
from global_buffer.design.global_buffer_parameter import GlobalBufferParams
import math
class GlbHeader():
def __init__(self, _params: GlobalBufferParams):
self._params = _params
self.cfg_data_network_t = PackedStruct("cfg_data_network_t",
... | global_buffer/design/glb_header.py | from kratos import PackedStruct, clog2
from global_buffer.design.global_buffer_parameter import GlobalBufferParams
import math
class GlbHeader():
def __init__(self, _params: GlobalBufferParams):
self._params = _params
self.cfg_data_network_t = PackedStruct("cfg_data_network_t",
... | 0.436262 | 0.242228 |
import logging
import threading
import zmq
import zmq.auth
from zmq.auth.thread import ThreadAuthenticator
__author__ = "<NAME>"
__copyright__ = "Copyright (c) 2015, Technische Universitat Berlin"
__version__ = "0.1.0"
__email__ = "<EMAIL>"
class Broker(threading.Thread):
"""docstring for Broker"""
def __i... | uniflex/core/broker.py | import logging
import threading
import zmq
import zmq.auth
from zmq.auth.thread import ThreadAuthenticator
__author__ = "<NAME>"
__copyright__ = "Copyright (c) 2015, Technische Universitat Berlin"
__version__ = "0.1.0"
__email__ = "<EMAIL>"
class Broker(threading.Thread):
"""docstring for Broker"""
def __i... | 0.434941 | 0.055797 |
import pycom
import lteHelper
import machine
from machine import I2C
import pytrackHelper
from pytrack import Pytrack
from LIS2HH12 import LIS2HH12
import time
import gc
import sys
import bme280
from ADS1115 import ADS1115
# ***********************************************************
# ourBoatMonitor IOT code for the... | uPython/main.py | import pycom
import lteHelper
import machine
from machine import I2C
import pytrackHelper
from pytrack import Pytrack
from LIS2HH12 import LIS2HH12
import time
import gc
import sys
import bme280
from ADS1115 import ADS1115
# ***********************************************************
# ourBoatMonitor IOT code for the... | 0.18363 | 0.294177 |
import numpy as np
import scipy
from algorithms.accelerated_gradient_descent import \
accelerated_gradient_descent
from algorithms.accelerated_gradient_descent_adaptive_restart import \
accelerated_gradient_descent_adaptive_restart
from algorithms.accelerated_gradient_descent_adaptive_restart_line_search impor... | src/ridge_regression.py | import numpy as np
import scipy
from algorithms.accelerated_gradient_descent import \
accelerated_gradient_descent
from algorithms.accelerated_gradient_descent_adaptive_restart import \
accelerated_gradient_descent_adaptive_restart
from algorithms.accelerated_gradient_descent_adaptive_restart_line_search impor... | 0.623377 | 0.339034 |
from django.core.wsgi import get_wsgi_application
from sklearn.metrics import *
from sklearn.model_selection import train_test_split
from sklearn.svm import SVC
from sklearn.neural_network import MLPClassifier
from sklearn.discriminant_analysis import LinearDiscriminantAnalysis
from sklearn.neighbors import KNeighborsC... | backend/apps/checker/class_learner.py | from django.core.wsgi import get_wsgi_application
from sklearn.metrics import *
from sklearn.model_selection import train_test_split
from sklearn.svm import SVC
from sklearn.neural_network import MLPClassifier
from sklearn.discriminant_analysis import LinearDiscriminantAnalysis
from sklearn.neighbors import KNeighborsC... | 0.408631 | 0.294843 |
import torch
import torch.nn as nn
import torch.nn.functional as F
BN_EPS = 1e-05
BN_MOMENTUM = 0.9 # too large?
class DONetMultiscaleClassificationOrientationPose(nn.Module):
def __init__(self):
super(DONetMultiscaleClassificationOrientationPose,
self).__init__()
self.activation =... | src/models/donet_ms.py | import torch
import torch.nn as nn
import torch.nn.functional as F
BN_EPS = 1e-05
BN_MOMENTUM = 0.9 # too large?
class DONetMultiscaleClassificationOrientationPose(nn.Module):
def __init__(self):
super(DONetMultiscaleClassificationOrientationPose,
self).__init__()
self.activation =... | 0.890812 | 0.329891 |
from tkinter.tix import Tree
import requests
import os
import time
import cv2
import numpy as np
from scipy.special import softmax
from sklearn import metrics
import pandas as pd
def parse_labels(filenames):
return [filename[:-4].split('_')[-4][1:-1] for filename in filenames]
def parse_label(filename):
return... | client.py | from tkinter.tix import Tree
import requests
import os
import time
import cv2
import numpy as np
from scipy.special import softmax
from sklearn import metrics
import pandas as pd
def parse_labels(filenames):
return [filename[:-4].split('_')[-4][1:-1] for filename in filenames]
def parse_label(filename):
return... | 0.438064 | 0.214136 |
import tempfile, shutil, sys, subprocess, json
import populate_xmeta as px
def kobo_import(kobo_username, auth_token):
kobo_url = "https://kc.kobotoolbox.org/%s" % (kobo_username)
kobo_import_forms(kobo_url, auth_token)
kobo_import_data(auth_token)
def kobo_import_forms(kobo_url, auth_token):
forms = jso... | kobo_import.py | import tempfile, shutil, sys, subprocess, json
import populate_xmeta as px
def kobo_import(kobo_username, auth_token):
kobo_url = "https://kc.kobotoolbox.org/%s" % (kobo_username)
kobo_import_forms(kobo_url, auth_token)
kobo_import_data(auth_token)
def kobo_import_forms(kobo_url, auth_token):
forms = jso... | 0.109254 | 0.215392 |
import os
import warnings
os.environ['TF_CPP_MIN_LOG_LEVEL'] = "2"
import tensorflow as tf
import wandb
from wandb.keras import WandbCallback
import sklearn
import numpy as np
from sklearn.metrics import confusion_matrix
from tensorflow.keras.utils import to_categorical
from tensorflow.keras.preprocessing import sequen... | lab/sweep.py | import os
import warnings
os.environ['TF_CPP_MIN_LOG_LEVEL'] = "2"
import tensorflow as tf
import wandb
from wandb.keras import WandbCallback
import sklearn
import numpy as np
from sklearn.metrics import confusion_matrix
from tensorflow.keras.utils import to_categorical
from tensorflow.keras.preprocessing import sequen... | 0.60778 | 0.337313 |
import json
from datetime import datetime
from typing import Any, Dict, List, cast
from covid19_sfbayarea.utils import dig, parse_datetime
from .cases_by_age import CasesByAge
from .cases_by_ethnicity import CasesByEthnicity
from .cases_by_gender import CasesByGender
from .meta import Meta
from .deaths_by_age impor... | covid19_sfbayarea/data/san_mateo/__init__.py | import json
from datetime import datetime
from typing import Any, Dict, List, cast
from covid19_sfbayarea.utils import dig, parse_datetime
from .cases_by_age import CasesByAge
from .cases_by_ethnicity import CasesByEthnicity
from .cases_by_gender import CasesByGender
from .meta import Meta
from .deaths_by_age impor... | 0.587943 | 0.250191 |
from unittest import mock
from django.test import TestCase
from django.urls import reverse
from dominio.tests.testconf import NoJWTTestCase, NoCacheTestCase
class TestPIPIndicadoresSucesso(NoJWTTestCase, NoCacheTestCase, TestCase):
@mock.patch("dominio.pip.views.PIPIndicadoresDeSucessoDAO.execute")
def test... | dominio/pip/tests/test_views.py | from unittest import mock
from django.test import TestCase
from django.urls import reverse
from dominio.tests.testconf import NoJWTTestCase, NoCacheTestCase
class TestPIPIndicadoresSucesso(NoJWTTestCase, NoCacheTestCase, TestCase):
@mock.patch("dominio.pip.views.PIPIndicadoresDeSucessoDAO.execute")
def test... | 0.708717 | 0.408336 |
import os
import json
import copy
import math
import attr
import numpy as np
import pandas as pd
from scipy.special import logsumexp
from ..core.likelihood import Likelihood
from ..core.utils import BilbyJsonEncoder, decode_bilby_json
from ..core.utils import (
logger, UnsortedInterp2d, create_frequency_series, c... | bilby/gw/likelihood.py | import os
import json
import copy
import math
import attr
import numpy as np
import pandas as pd
from scipy.special import logsumexp
from ..core.likelihood import Likelihood
from ..core.utils import BilbyJsonEncoder, decode_bilby_json
from ..core.utils import (
logger, UnsortedInterp2d, create_frequency_series, c... | 0.844537 | 0.434101 |
import pandas as pd
import yfinance as yf
import logging
import wrds
TABLE_NUM = 0
STOCK_COLUMN = "Symbol"
class DataQuerierYF:
def __init__ (self, cfg, load_on_init=True, save=True, **kwargs):
self.cfg = cfg
self.company_list = pd.read_html(self.cfg.link)[TABLE_NUM][STOCK_COLUMN].tolist()
... | data_querier.py | import pandas as pd
import yfinance as yf
import logging
import wrds
TABLE_NUM = 0
STOCK_COLUMN = "Symbol"
class DataQuerierYF:
def __init__ (self, cfg, load_on_init=True, save=True, **kwargs):
self.cfg = cfg
self.company_list = pd.read_html(self.cfg.link)[TABLE_NUM][STOCK_COLUMN].tolist()
... | 0.240685 | 0.09611 |
import json
import math
from typing import Union, Tuple, NamedTuple, Optional, List
import pytest
@pytest.mark.parametrize(
"input_string, expected",
[
("1", [1]),
("[1,2]", [(1, 2)]),
("[[[7,1],2],3]\n[[1,7],7]", [(((7, 1), 2), 3), ((1, 7), 7)]),
],
)
def test_parse_input(input_s... | src/day18.py | import json
import math
from typing import Union, Tuple, NamedTuple, Optional, List
import pytest
@pytest.mark.parametrize(
"input_string, expected",
[
("1", [1]),
("[1,2]", [(1, 2)]),
("[[[7,1],2],3]\n[[1,7],7]", [(((7, 1), 2), 3), ((1, 7), 7)]),
],
)
def test_parse_input(input_s... | 0.736021 | 0.688516 |
from . import LatexObject, Environment, Command
from ..utils import dumps_list
from ..package import Package
from collections import Counter
import re
def _get_table_width(table_spec):
"""Calculate the width of a table based on its spec.
:param table_spec:
:type table_spec: str
:return:
:rtyp... | pylatex/base_classes/table.py | from . import LatexObject, Environment, Command
from ..utils import dumps_list
from ..package import Package
from collections import Counter
import re
def _get_table_width(table_spec):
"""Calculate the width of a table based on its spec.
:param table_spec:
:type table_spec: str
:return:
:rtyp... | 0.748904 | 0.474996 |
import torch
from torch import nn
from clinicadl.utils.network.vae.base_vae import BaseVAE
from clinicadl.utils.network.vae.vae_utils import (
DecoderLayer3D,
EncoderLayer3D,
Flatten,
Unflatten3D,
VAE_Decoder,
VAE_Encoder,
)
class VanillaDenseVAE(BaseVAE):
def __init__(
self,
... | clinicadl/utils/network/vae/vanilla_vae.py | import torch
from torch import nn
from clinicadl.utils.network.vae.base_vae import BaseVAE
from clinicadl.utils.network.vae.vae_utils import (
DecoderLayer3D,
EncoderLayer3D,
Flatten,
Unflatten3D,
VAE_Decoder,
VAE_Encoder,
)
class VanillaDenseVAE(BaseVAE):
def __init__(
self,
... | 0.8758 | 0.382141 |
import os
import errno
from datetime import datetime, timedelta
from getpass import getpass
import pytz
from exchangelib import (
DELEGATE, Account, Configuration, EWSDateTime, FileAttachment,
ItemAttachment, Message, ServiceAccount
)
from config import (
ALLOWED_EXTENSIONS, DOWNLOAD_ATTACHED_EMAILS,
... | crawler.py | import os
import errno
from datetime import datetime, timedelta
from getpass import getpass
import pytz
from exchangelib import (
DELEGATE, Account, Configuration, EWSDateTime, FileAttachment,
ItemAttachment, Message, ServiceAccount
)
from config import (
ALLOWED_EXTENSIONS, DOWNLOAD_ATTACHED_EMAILS,
... | 0.319121 | 0.096578 |
import logging
import os
import re
import uuid
from datetime import datetime
from pathlib import Path
from platform import node as get_hostname
from typing import List, Optional, Union
import click
from neptune.new.attributes import constants as attr_consts
from neptune.new.constants import (
ASYNC_DIRECTORY,
... | neptune/new/internal/init_impl.py | import logging
import os
import re
import uuid
from datetime import datetime
from pathlib import Path
from platform import node as get_hostname
from typing import List, Optional, Union
import click
from neptune.new.attributes import constants as attr_consts
from neptune.new.constants import (
ASYNC_DIRECTORY,
... | 0.501709 | 0.068195 |
import os
import re
import zipfile
from typing import Optional
def is_zip(file_type) -> bool:
"""
Check if the given file is a ZIP
Returns:
bool: Whether it's a ZIP file or not
"""
mimes = {
'application/zip',
'application/octet-stream',
'application/x-zip-compresse... | gsynch/helper.py | import os
import re
import zipfile
from typing import Optional
def is_zip(file_type) -> bool:
"""
Check if the given file is a ZIP
Returns:
bool: Whether it's a ZIP file or not
"""
mimes = {
'application/zip',
'application/octet-stream',
'application/x-zip-compresse... | 0.743913 | 0.276188 |
# ______________________________________________________________________
import ctypes
import llvm.core as lc
import llvm.ee as le
from numba.llvm_types import _int32, _numpy_array, _head_len
import numba.multiarray_api as ma
import numpy as np
import unittest
# ___________________________________________________... | tests/test_multiarray_api.py | # ______________________________________________________________________
import ctypes
import llvm.core as lc
import llvm.ee as le
from numba.llvm_types import _int32, _numpy_array, _head_len
import numba.multiarray_api as ma
import numpy as np
import unittest
# ___________________________________________________... | 0.179315 | 0.188623 |
import torch
import torch.nn as nn
from torch.optim import Optimizer
class OptimActivation(nn.Module):
def __init__(self):
super(OptimActivation, self).__init__()
self.params = nn.Parameter(torch.zeros(5))
def forward(self, x):
params_softmax = torch.softmax(self.params, dim=-1)
x_swish = (torch.sigmoid(x) ... | optim.py | import torch
import torch.nn as nn
from torch.optim import Optimizer
class OptimActivation(nn.Module):
def __init__(self):
super(OptimActivation, self).__init__()
self.params = nn.Parameter(torch.zeros(5))
def forward(self, x):
params_softmax = torch.softmax(self.params, dim=-1)
x_swish = (torch.sigmoid(x) ... | 0.943165 | 0.550789 |
from typing import List, Tuple, Union
from .exceptions import NotSquareException, ValidationError
Number = Union[int, float]
class Matrix:
def __init__(self, rows: List[List[Number]]) -> None:
self.rows = rows
self._validate()
def __str__(self) -> str:
return str(self.rows)
def... | matops/matrix.py | from typing import List, Tuple, Union
from .exceptions import NotSquareException, ValidationError
Number = Union[int, float]
class Matrix:
def __init__(self, rows: List[List[Number]]) -> None:
self.rows = rows
self._validate()
def __str__(self) -> str:
return str(self.rows)
def... | 0.853394 | 0.447219 |