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 |
|---|---|---|---|---|
# A diagnostics tool (think of it as a modernized 'inspect' module)
# Finnish Institute of Occupational Health, 2016
# MIT License
# Currently missing: set, type
def whatis_string(variable):
""" Prints type and length. """
print('{} [{}]'.format(type(variable), len(variable)))
def whatis_numeric(variable)... | whatis/__init__.py |
# A diagnostics tool (think of it as a modernized 'inspect' module)
# Finnish Institute of Occupational Health, 2016
# MIT License
# Currently missing: set, type
def whatis_string(variable):
""" Prints type and length. """
print('{} [{}]'.format(type(variable), len(variable)))
def whatis_numeric(variable)... | 0.516839 | 0.237002 |
from rest_framework import viewsets
from rest_framework.permissions import IsAuthenticated
from rest_framework.response import Response
from rest_framework.exceptions import MethodNotAllowed
from rest_framework.decorators import api_view
from rest_framework.decorators import permission_classes
from .models import User... | user_block/views.py | from rest_framework import viewsets
from rest_framework.permissions import IsAuthenticated
from rest_framework.response import Response
from rest_framework.exceptions import MethodNotAllowed
from rest_framework.decorators import api_view
from rest_framework.decorators import permission_classes
from .models import User... | 0.547706 | 0.105073 |
import curses
from sciibo.core.drawable import Drawable
from ..graphics import colors
class Card(Drawable):
def __init__(self, y, x, value, size):
h, w = self.hw_for_size(size)
super(Card, self).__init__(y, x, h, w)
self.value = value
self.size = size
self.update()
d... | sciibo/graphics/card.py | import curses
from sciibo.core.drawable import Drawable
from ..graphics import colors
class Card(Drawable):
def __init__(self, y, x, value, size):
h, w = self.hw_for_size(size)
super(Card, self).__init__(y, x, h, w)
self.value = value
self.size = size
self.update()
d... | 0.439026 | 0.334209 |
import os
import sys
import numpy as np
from copy import deepcopy
from random import sample, random, randint
import argparse
import math
import json
root = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
sys.path.append(root)
sys.path.append(root + "/Driver")
sys.path.append(root + "/Util")
from Driver.SD... | Mapping/SA.py | import os
import sys
import numpy as np
from copy import deepcopy
from random import sample, random, randint
import argparse
import math
import json
root = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
sys.path.append(root)
sys.path.append(root + "/Driver")
sys.path.append(root + "/Util")
from Driver.SD... | 0.167934 | 0.193262 |
import sys
from PyQt4 import QtGui, QtCore
class Window(QtGui.QMainWindow):
def __init__(self):
super(Window, self).__init__()
self.setGeometry(0, 0, 887, 585)
self.setWindowTitle("My Editor")
self.setWindowIcon(QtGui.QIcon('newlogo.png'))
self.menuBar()
self.st... | My-edit.py | import sys
from PyQt4 import QtGui, QtCore
class Window(QtGui.QMainWindow):
def __init__(self):
super(Window, self).__init__()
self.setGeometry(0, 0, 887, 585)
self.setWindowTitle("My Editor")
self.setWindowIcon(QtGui.QIcon('newlogo.png'))
self.menuBar()
self.st... | 0.080164 | 0.042662 |
from __future__ import division, absolute_import, print_function
import numpy as np
def pet_oudin(temperature, lat, doy):
"""
Calculates the daily potential evapotranspiration in [mm/d] following the Oudin formula.
For the mathematical details of the PE formulation, see:
<NAME>., <NAME>., ... | jams/pet_oudin.py | from __future__ import division, absolute_import, print_function
import numpy as np
def pet_oudin(temperature, lat, doy):
"""
Calculates the daily potential evapotranspiration in [mm/d] following the Oudin formula.
For the mathematical details of the PE formulation, see:
<NAME>., <NAME>., ... | 0.716119 | 0.489259 |
from cltl.commons.casefolding import (casefold_capsule)
from cltl.reply_generation.lenka_replier import LenkaReplier
from cltl.reply_generation.next_sentence_prediction.nsp import NSP
from cltl.reply_generation.utils.replier_utils import thoughts_from_brain
class NSPReplier(LenkaReplier):
def __init__(self, model... | src/cltl/reply_generation/nsp_replier.py | from cltl.commons.casefolding import (casefold_capsule)
from cltl.reply_generation.lenka_replier import LenkaReplier
from cltl.reply_generation.next_sentence_prediction.nsp import NSP
from cltl.reply_generation.utils.replier_utils import thoughts_from_brain
class NSPReplier(LenkaReplier):
def __init__(self, model... | 0.698741 | 0.302267 |
import logging
import os
import requests
logger = logging.getLogger('downloader.streambot')
def _download(uri, local):
'''
download from uri and save as local
@param uri
@param local
@return True if download succeeds
'''
try:
resp = requests.get(uri, verify=False)
resp.rais... | downloader.py | import logging
import os
import requests
logger = logging.getLogger('downloader.streambot')
def _download(uri, local):
'''
download from uri and save as local
@param uri
@param local
@return True if download succeeds
'''
try:
resp = requests.get(uri, verify=False)
resp.rais... | 0.327023 | 0.088939 |
import tensorflow as tf
flags = tf.app.flags
flags.DEFINE_string('mode', default='train', help='train or test')
flags.DEFINE_string('model', default='fcnet', help='fcnet or lenet')
flags.DEFINE_boolean('bayes', default=False, help='Whether to use Bayesian network '
'(M... | classification/config.py | import tensorflow as tf
flags = tf.app.flags
flags.DEFINE_string('mode', default='train', help='train or test')
flags.DEFINE_string('model', default='fcnet', help='fcnet or lenet')
flags.DEFINE_boolean('bayes', default=False, help='Whether to use Bayesian network '
'(M... | 0.812719 | 0.110112 |
import os
import random
from uiautomator import device as d
def swipe_up():
ui_ball.swipe.up(steps=10)
def shoot_to(x, y):
print("target", x, y)
d.drag(get_ball_middle_x(), get_ball_middle_y(), x, y, steps=10)
def shoot_to_x(x):
shoot_to(x, get_rim_middle_y())
def shoot_0_10():
if ui_ball.exists:
shoot... | script.py |
import os
import random
from uiautomator import device as d
def swipe_up():
ui_ball.swipe.up(steps=10)
def shoot_to(x, y):
print("target", x, y)
d.drag(get_ball_middle_x(), get_ball_middle_y(), x, y, steps=10)
def shoot_to_x(x):
shoot_to(x, get_rim_middle_y())
def shoot_0_10():
if ui_ball.exists:
shoot... | 0.072546 | 0.07603 |
from random import randint
def bubbleSort(input_list, iteration):
# O(N^2)
while iteration > 0:
for i in range(len(input_list) - 1):
first = input_list[i]
second = input_list[i + 1]
if first > second:
input_list[i] = second
input_list... | 3.Search_Sorting/bubbleSort.py | from random import randint
def bubbleSort(input_list, iteration):
# O(N^2)
while iteration > 0:
for i in range(len(input_list) - 1):
first = input_list[i]
second = input_list[i + 1]
if first > second:
input_list[i] = second
input_list... | 0.503906 | 0.518485 |
from optparse import OptionParser
from improved_wikipedia import wikipedia
import random
import itertools
from WikiSolver import *
import multiprocessing as mp
import time
import string
import sys
printable = set(string.printable)
TIMEOUT = 60 * 5
POPULAR_PAGES_ID = "37397829"
from sys import argv
DEBUG = False
if le... | executor.py | from optparse import OptionParser
from improved_wikipedia import wikipedia
import random
import itertools
from WikiSolver import *
import multiprocessing as mp
import time
import string
import sys
printable = set(string.printable)
TIMEOUT = 60 * 5
POPULAR_PAGES_ID = "37397829"
from sys import argv
DEBUG = False
if le... | 0.294925 | 0.173638 |
import abc
import unittest
from typing import Optional, Sequence, Tuple, Union
import numpy as np
from pydantic import BaseModel
import orjson
class Model1(BaseModel):
hi: str
number: int
sub: Optional[int]
class Model2(BaseModel):
bye: str
previous: Model1
class Shape(abc.ABC):
@abc.abs... | test/test_pydantic.py | import abc
import unittest
from typing import Optional, Sequence, Tuple, Union
import numpy as np
from pydantic import BaseModel
import orjson
class Model1(BaseModel):
hi: str
number: int
sub: Optional[int]
class Model2(BaseModel):
bye: str
previous: Model1
class Shape(abc.ABC):
@abc.abs... | 0.884158 | 0.445288 |
jobName = 'Spirograph-1'
color = '#b777b7'
writePNG = False
from abaqus import *
from abaqusConstants import *
from odbAccess import *
import visualization
import numpy as np
# Postprocessing
viewport = session.viewports['Viewport: 1']
try:
for odbName in session.odbs.keys():
if jobName in odbName:
... | PostProcessSpirograph.py | jobName = 'Spirograph-1'
color = '#b777b7'
writePNG = False
from abaqus import *
from abaqusConstants import *
from odbAccess import *
import visualization
import numpy as np
# Postprocessing
viewport = session.viewports['Viewport: 1']
try:
for odbName in session.odbs.keys():
if jobName in odbName:
... | 0.118845 | 0.202423 |
from flask import Flask, request, g
import time
from flask_restful import Resource, Api, reqparse
from flask_cors import CORS, cross_origin
from json import dumps
from flask_jsonpify import jsonify
import src.estimator as mymodule
from collections import namedtuple
import json
import jxmlease
from flask_sqlalchemy i... | backend/wsgi.py | from flask import Flask, request, g
import time
from flask_restful import Resource, Api, reqparse
from flask_cors import CORS, cross_origin
from json import dumps
from flask_jsonpify import jsonify
import src.estimator as mymodule
from collections import namedtuple
import json
import jxmlease
from flask_sqlalchemy i... | 0.220259 | 0.048744 |
from __future__ import print_function, unicode_literals
import argparse
import json
import logging
import os
import re
import shutil
import sys
import tempfile
from functools import partial
from hashlib import sha256
from io import BytesIO
try:
from urllib.parse import urljoin, urlsplit
except ImportError:
fr... | openwrt_downloader/main.py |
from __future__ import print_function, unicode_literals
import argparse
import json
import logging
import os
import re
import shutil
import sys
import tempfile
from functools import partial
from hashlib import sha256
from io import BytesIO
try:
from urllib.parse import urljoin, urlsplit
except ImportError:
fr... | 0.389314 | 0.067577 |
import configparser as _cp
import fortworth as _fortworth
import wheedle.errors as _errors
class Configuration:
""" Class holding configuration for app """
def __init__(self, config_file_name, data_dir):
self._config_file_name = config_file_name
self._config = _cp.ConfigParser()
try... | python/wheedle/configuration.py | import configparser as _cp
import fortworth as _fortworth
import wheedle.errors as _errors
class Configuration:
""" Class holding configuration for app """
def __init__(self, config_file_name, data_dir):
self._config_file_name = config_file_name
self._config = _cp.ConfigParser()
try... | 0.263126 | 0.075075 |
import json
import numpy
from PIL import Image, ImageOps
import os
import torch
class SegmentationDataset:
def __init__(self, json_file_name):
with open(json_file_name) as json_file:
self.json_config = json.load(json_file)
self.channels = int(self.json_config["input_channels"])
... | src/segmentation_dataset.py | import json
import numpy
from PIL import Image, ImageOps
import os
import torch
class SegmentationDataset:
def __init__(self, json_file_name):
with open(json_file_name) as json_file:
self.json_config = json.load(json_file)
self.channels = int(self.json_config["input_channels"])
... | 0.484624 | 0.123551 |
import os
from pathlib import Path
from datetime import timedelta
# Build paths inside the project like this: BASE_DIR / 'subdir'.
BASE_DIR = Path(__file__).resolve().parent.parent
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/3.2/howto/deployment/checklist/
... | blogapp/settings.py | import os
from pathlib import Path
from datetime import timedelta
# Build paths inside the project like this: BASE_DIR / 'subdir'.
BASE_DIR = Path(__file__).resolve().parent.parent
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/3.2/howto/deployment/checklist/
... | 0.45181 | 0.109491 |
import json
import logging
import numpy as np
import pandas as pd
def format_dates(date, from_sep="/", to_sep="-"): # Tested [N]
""" Utility function to use within a pandas apply to get dates in a consistent format"""
nums = date.split(from_sep)
return to_sep.join(nums)
def dict2json(to_json, output): ... | src/utils.py | import json
import logging
import numpy as np
import pandas as pd
def format_dates(date, from_sep="/", to_sep="-"): # Tested [N]
""" Utility function to use within a pandas apply to get dates in a consistent format"""
nums = date.split(from_sep)
return to_sep.join(nums)
def dict2json(to_json, output): ... | 0.85558 | 0.430088 |
import cv2
import numpy as np
from matplotlib.collections import PatchCollection
from matplotlib.patches import Polygon
def template_polygons(layout, transform):
MARGIN = 0.15
polygons = {}
for y in range(len(layout)):
for x in range(len(layout[0])):
if layout[y][x] is None:
... | purpledrop/pdcam/plotting.py | import cv2
import numpy as np
from matplotlib.collections import PatchCollection
from matplotlib.patches import Polygon
def template_polygons(layout, transform):
MARGIN = 0.15
polygons = {}
for y in range(len(layout)):
for x in range(len(layout[0])):
if layout[y][x] is None:
... | 0.655005 | 0.437944 |
try: # this is temporary, remove when tests are moved in a separate folder
import sys
from os.path import dirname, abspath
sys.path.append(dirname(dirname(abspath(__file__))))
except Exception as e:
print(e)
try:
from unittest import TestCase
import unittest
from math import sqrt,... | source/discrete/tests/Geometric_test.py | try: # this is temporary, remove when tests are moved in a separate folder
import sys
from os.path import dirname, abspath
sys.path.append(dirname(dirname(abspath(__file__))))
except Exception as e:
print(e)
try:
from unittest import TestCase
import unittest
from math import sqrt,... | 0.175467 | 0.448064 |
import spotipy
from spotipy.oauth2 import SpotifyClientCredentials
import json
spotify = spotipy.Spotify(client_credentials_manager=SpotifyClientCredentials(
client_id='INSERT PUBLIC TOKEN HERE',
client_secret='INSERT SECRET TOKEN HERE')
... | source_code/API_spotipy.py | import spotipy
from spotipy.oauth2 import SpotifyClientCredentials
import json
spotify = spotipy.Spotify(client_credentials_manager=SpotifyClientCredentials(
client_id='INSERT PUBLIC TOKEN HERE',
client_secret='INSERT SECRET TOKEN HERE')
... | 0.096317 | 0.154887 |
from sgmllib import SGMLParser
from bean import DataBean, BugBean
class BaseParser(SGMLParser):
def __init__(self):
SGMLParser.__init__(self)
self.tag_stack = []
self.now_tag_attrs = []
def finish_starttag(self, tag, attrs):
SGMLParser.finish_starttag(self, tag, attrs)
... | parser.py |
from sgmllib import SGMLParser
from bean import DataBean, BugBean
class BaseParser(SGMLParser):
def __init__(self):
SGMLParser.__init__(self)
self.tag_stack = []
self.now_tag_attrs = []
def finish_starttag(self, tag, attrs):
SGMLParser.finish_starttag(self, tag, attrs)
... | 0.166201 | 0.187635 |
import logging
import time
import os
import numpy as np
import pytest
from timeflux_amti.nodes.driver import ForceDriver
@pytest.fixture(scope='module')
def driver():
"""Configured driver fixture"""
# It's important to note that this fixture is on the module level because
# it is not supported to have se... | test/test_driver.py | import logging
import time
import os
import numpy as np
import pytest
from timeflux_amti.nodes.driver import ForceDriver
@pytest.fixture(scope='module')
def driver():
"""Configured driver fixture"""
# It's important to note that this fixture is on the module level because
# it is not supported to have se... | 0.459561 | 0.321913 |
from python_graphql_client import GraphqlClient
import feedparser
import pathlib
import re
import os
import datetime
import ssl
import random
root = pathlib.Path(__file__).parent.resolve()
client = GraphqlClient(endpoint="https://api.github.com/graphql")
TOKEN = os.environ.get("GH_TOKEN", "")
def replace_chunk(cont... | src/build.py | from python_graphql_client import GraphqlClient
import feedparser
import pathlib
import re
import os
import datetime
import ssl
import random
root = pathlib.Path(__file__).parent.resolve()
client = GraphqlClient(endpoint="https://api.github.com/graphql")
TOKEN = os.environ.get("GH_TOKEN", "")
def replace_chunk(cont... | 0.322739 | 0.204084 |
import json
import pandas as pd
import csv
NUM_PLAYER_LIST = ["6p", "9p"]
def transformHand(handsStr):
handList = handsStr.split(",")
hand1 = handList[0].strip()
hand2 = handList[1].strip()
hand1Num = hand1[0]
hand1Suit = hand1[1]
hand2Num = hand2[0]
hand2Suit = hand2[1]
# Data is ... | rank_holdem_hands.py | import json
import pandas as pd
import csv
NUM_PLAYER_LIST = ["6p", "9p"]
def transformHand(handsStr):
handList = handsStr.split(",")
hand1 = handList[0].strip()
hand2 = handList[1].strip()
hand1Num = hand1[0]
hand1Suit = hand1[1]
hand2Num = hand2[0]
hand2Suit = hand2[1]
# Data is ... | 0.253861 | 0.356895 |
from spectral_cube import SpectralCube, VaryingResolutionSpectralCube
from spectral_cube.cube_utils import largest_beam
from astropy.utils.console import ProgressBar
from astropy import log
from astropy.io import fits
from astropy.wcs import WCS, WcsError
import os
from itertools import repeat
import numpy as np
from a... | cube_analysis/reprojection.py | from spectral_cube import SpectralCube, VaryingResolutionSpectralCube
from spectral_cube.cube_utils import largest_beam
from astropy.utils.console import ProgressBar
from astropy import log
from astropy.io import fits
from astropy.wcs import WCS, WcsError
import os
from itertools import repeat
import numpy as np
from a... | 0.739516 | 0.306761 |
# Copyright (c) Jupyter Development Team.
# Distributed under the terms of the Modified BSD License.
import re
from datetime import datetime
from ipython_genutils import py3compat
from ipython_genutils.py3compat import string_types, iteritems
next_attr_name = '__next__' if py3compat.PY3 else 'next'
#--------------... | env/lib/python3.5/site-packages/jupyter_client/jsonutil.py |
# Copyright (c) Jupyter Development Team.
# Distributed under the terms of the Modified BSD License.
import re
from datetime import datetime
from ipython_genutils import py3compat
from ipython_genutils.py3compat import string_types, iteritems
next_attr_name = '__next__' if py3compat.PY3 else 'next'
#--------------... | 0.443359 | 0.17849 |
import re
import sys
from collections import defaultdict, deque
import praw
from prawcore.exceptions import Forbidden, NotFound, Redirect
reddit = praw.Reddit(client_id=os.environ['CLIENT_ID'],
client_secret=os.environ['CLIENT_SECRET'],
password=<PASSWORD>['<PASSWORD... | masstagged.py | import re
import sys
from collections import defaultdict, deque
import praw
from prawcore.exceptions import Forbidden, NotFound, Redirect
reddit = praw.Reddit(client_id=os.environ['CLIENT_ID'],
client_secret=os.environ['CLIENT_SECRET'],
password=<PASSWORD>['<PASSWORD... | 0.320928 | 0.101012 |
import os, sys
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import tensorflow as tf
# # fix result, otherwise may predict all flat
# np.random.seed(1271)
# tf.compat.v1.set_random_seed(1271)
from matplotlib import patches
from matplotlib.pyplot import figure
from sklearn.metrics import confu... | TWSE/main.py | import os, sys
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import tensorflow as tf
# # fix result, otherwise may predict all flat
# np.random.seed(1271)
# tf.compat.v1.set_random_seed(1271)
from matplotlib import patches
from matplotlib.pyplot import figure
from sklearn.metrics import confu... | 0.514644 | 0.305561 |
import os
import subprocess
from fabric.api import env, run, sudo
def _setup_distribution_environment():
"""Setup distribution environment
"""
env.logger.info("Distribution %s" % env.distribution)
if env.hosts == ["vagrant"]:
_setup_vagrant_environment()
elif env.hosts == ["localhost"]:
... | venv/lib/python3.7/site-packages/cloudbio/distribution.py | import os
import subprocess
from fabric.api import env, run, sudo
def _setup_distribution_environment():
"""Setup distribution environment
"""
env.logger.info("Distribution %s" % env.distribution)
if env.hosts == ["vagrant"]:
_setup_vagrant_environment()
elif env.hosts == ["localhost"]:
... | 0.187616 | 0.091463 |
import random
from copy import deepcopy
from dataclasses import dataclass
from typing import List
from PIL import Image, ImageDraw, ImageFont
import numpy as np
WIDTH = 1100
SIZE = (0, WIDTH)
N = 6
K = 3
@dataclass
class Peak:
x: int
y: int
def __eq__(self, other):
return self... | KNP/main.py | import random
from copy import deepcopy
from dataclasses import dataclass
from typing import List
from PIL import Image, ImageDraw, ImageFont
import numpy as np
WIDTH = 1100
SIZE = (0, WIDTH)
N = 6
K = 3
@dataclass
class Peak:
x: int
y: int
def __eq__(self, other):
return self... | 0.610453 | 0.322446 |
import datetime
import pytest
from irpf_cei import b3
def test_get_asset_info_etf() -> None:
"""Return ETF."""
asset_info = b3.get_asset_info("BOVA11")
assert asset_info.category == "ETF"
assert asset_info.cnpj == "10.406.511/0001-61"
def test_get_asset_info_fii() -> None:
"""Return FII."""
... | tests/test_b3.py | import datetime
import pytest
from irpf_cei import b3
def test_get_asset_info_etf() -> None:
"""Return ETF."""
asset_info = b3.get_asset_info("BOVA11")
assert asset_info.category == "ETF"
assert asset_info.cnpj == "10.406.511/0001-61"
def test_get_asset_info_fii() -> None:
"""Return FII."""
... | 0.783988 | 0.58439 |
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
from torch.autograd import Variable as Variable
import random
import torch.nn.init as init
import numpy as np
import hyperparams
torch.manual_seed(hyperparams.seed_num)
random.seed(hyperparams.seed_num)
class PNC(nn.Module):
de... | models/model_PNC.py | import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
from torch.autograd import Variable as Variable
import random
import torch.nn.init as init
import numpy as np
import hyperparams
torch.manual_seed(hyperparams.seed_num)
random.seed(hyperparams.seed_num)
class PNC(nn.Module):
de... | 0.779909 | 0.374219 |
import logging
import os
from ..utils.template import SimpleTemplate, render
from ..assets.html_style import get_value as get_css_style
logger = logging.getLogger('HTML_BINDER')
def generate_filename(s):
return '{}.html'.format(str(s).rjust(5, '0'))
def bind_html_chapter(chapter, prev_chapter, next_chapter):
... | nc/binders/html.py | import logging
import os
from ..utils.template import SimpleTemplate, render
from ..assets.html_style import get_value as get_css_style
logger = logging.getLogger('HTML_BINDER')
def generate_filename(s):
return '{}.html'.format(str(s).rjust(5, '0'))
def bind_html_chapter(chapter, prev_chapter, next_chapter):
... | 0.265595 | 0.093471 |
import torch.nn as nn
from torch.nn.utils import weight_norm
class Chomp1d(nn.Module):
def __init__(self, chomp_size):
super(Chomp1d, self).__init__()
self.chomp_size = chomp_size
def forward(self, x, pad_right=True):
return x[:, :, :-self.chomp_size].contiguous() if pad_right else x[:... | training/trainer/models.py | import torch.nn as nn
from torch.nn.utils import weight_norm
class Chomp1d(nn.Module):
def __init__(self, chomp_size):
super(Chomp1d, self).__init__()
self.chomp_size = chomp_size
def forward(self, x, pad_right=True):
return x[:, :, :-self.chomp_size].contiguous() if pad_right else x[:... | 0.939637 | 0.413951 |
import torch
from torch.autograd import Function
from collections import namedtuple
from pynvrtc.compiler import Program
from cupy.cuda import function
import numpy as np
from cuda.utils import *
from cuda.rrnn import *
class RRNN_Compute_GPU(Function):
_RRNN_PROG = Program(UTIL + RRNN, "rrnn_prog.cu")
_RRNN... | rrnn_gpu.py | import torch
from torch.autograd import Function
from collections import namedtuple
from pynvrtc.compiler import Program
from cupy.cuda import function
import numpy as np
from cuda.utils import *
from cuda.rrnn import *
class RRNN_Compute_GPU(Function):
_RRNN_PROG = Program(UTIL + RRNN, "rrnn_prog.cu")
_RRNN... | 0.558688 | 0.353623 |
import os
class LangAssets:
N_GRAM_LEN = 5
# Possible labels of an alphabet
VOWEL = "V"
CONSONANT = "C"
ANY = "ANY"
DELIMITER = "#"
GENERIC_VOWEL = "@"
# All possible roles of an alphabet
ONSET = "O"
NUCLEUS = "N"
CODA = "Cd"
ONSET_NUCLEUS = "O_N"
NUCLEUS_ONSET = "N_O"
NUCLEUS_NUCLEUS =... | phonology-augmented_transliterator/syl_splitter/LangAssets/LangAssets.py | import os
class LangAssets:
N_GRAM_LEN = 5
# Possible labels of an alphabet
VOWEL = "V"
CONSONANT = "C"
ANY = "ANY"
DELIMITER = "#"
GENERIC_VOWEL = "@"
# All possible roles of an alphabet
ONSET = "O"
NUCLEUS = "N"
CODA = "Cd"
ONSET_NUCLEUS = "O_N"
NUCLEUS_ONSET = "N_O"
NUCLEUS_NUCLEUS =... | 0.429429 | 0.127707 |
from concurrent.futures import ProcessPoolExecutor
import copy
import gym
import numpy
import random
class GeneticSearcher:
def __init__(self, pop_size, problem):
self.problem = problem
self.pop = [Network.random_network() for i in range(pop_size)]
self.fitness_cache = {}
self.bes... | Pendulum-v0/genetic_neural_network.py | from concurrent.futures import ProcessPoolExecutor
import copy
import gym
import numpy
import random
class GeneticSearcher:
def __init__(self, pop_size, problem):
self.problem = problem
self.pop = [Network.random_network() for i in range(pop_size)]
self.fitness_cache = {}
self.bes... | 0.805861 | 0.379608 |
from django.shortcuts import render
from django.http import JsonResponse
from django.http import HttpResponseBadRequest
from django.db.models import Count
from HMBBF.models import home_ad
from HMBBF.models import home_news
from HMBBF.models import home_Keyword
from HMBBF.models import Guest
from HMBBF.models import Th... | HMBBF/views.py | from django.shortcuts import render
from django.http import JsonResponse
from django.http import HttpResponseBadRequest
from django.db.models import Count
from HMBBF.models import home_ad
from HMBBF.models import home_news
from HMBBF.models import home_Keyword
from HMBBF.models import Guest
from HMBBF.models import Th... | 0.178275 | 0.117471 |
import robotling_lib.misc.ansi_color as ansi
from robotling_lib.platform.platform import platform
if platform.languageID == platform.LNG_CIRCUITPYTHON:
import displayio
import terminalio
from adafruit_display_shapes.rect import Rect
from adafruit_display_shapes.circle import Circle
from adafruit_display_shape... | driver/ssd1327_cpy.py | import robotling_lib.misc.ansi_color as ansi
from robotling_lib.platform.platform import platform
if platform.languageID == platform.LNG_CIRCUITPYTHON:
import displayio
import terminalio
from adafruit_display_shapes.rect import Rect
from adafruit_display_shapes.circle import Circle
from adafruit_display_shape... | 0.594669 | 0.165256 |
import logging
from rdflib import Graph
from rdflib.namespace import ClosedNamespace, Namespace
from .utils import Singleton
__all__ = ['concatenate_uriref', 'AfelNamespacesManager']
LOG = logging.getLogger(__name__)
def concatenate_uriref(uriref, term):
return uriref + '#' + term
class AfelNamespacesManager(m... | afelTraces2rdf/common/namespaces.py | import logging
from rdflib import Graph
from rdflib.namespace import ClosedNamespace, Namespace
from .utils import Singleton
__all__ = ['concatenate_uriref', 'AfelNamespacesManager']
LOG = logging.getLogger(__name__)
def concatenate_uriref(uriref, term):
return uriref + '#' + term
class AfelNamespacesManager(m... | 0.444806 | 0.109753 |
import media
import httplib
import json
import fresh_tomatoes
TMDB_API_KEY = 'bd8bbad27dd75e98097e8012e05735cb'
tmdb_connection = httplib.HTTPSConnection('api.themoviedb.org')
def tmdb_api_get(connection, endpoint, payload):
connection.request("GET", endpoint+'?api_key='+TMDB_API_KEY, payload)
response = tm... | 1.Movie_Trailer_Website/scripts/entertainment_center.py | import media
import httplib
import json
import fresh_tomatoes
TMDB_API_KEY = 'bd8bbad27dd75e98097e8012e05735cb'
tmdb_connection = httplib.HTTPSConnection('api.themoviedb.org')
def tmdb_api_get(connection, endpoint, payload):
connection.request("GET", endpoint+'?api_key='+TMDB_API_KEY, payload)
response = tm... | 0.226698 | 0.062991 |
import time
from datetime import timedelta
import subprocess
import threading, time, signal
import display
import sensors
import os
from sampleRing import sampleRing
from http.server import HTTPServer, BaseHTTPRequestHandler
import json
import datetime
WAIT_TIME_SECONDS = 1
def getStatusText():
if os.name == 'nt':... | supervisor/supervisor.py | import time
from datetime import timedelta
import subprocess
import threading, time, signal
import display
import sensors
import os
from sampleRing import sampleRing
from http.server import HTTPServer, BaseHTTPRequestHandler
import json
import datetime
WAIT_TIME_SECONDS = 1
def getStatusText():
if os.name == 'nt':... | 0.448426 | 0.074804 |
from django.contrib.auth import get_user_model
from rest_framework import serializers
from datetime import datetime
import re
from ..models import SwitchGameUS, SwitchGame
class SwitchGameUSSerializer(serializers.Serializer):
title = serializers.CharField(max_length=128)
slug = serializers.SlugField(max_le... | games/serializers/switch_game_us.py | from django.contrib.auth import get_user_model
from rest_framework import serializers
from datetime import datetime
import re
from ..models import SwitchGameUS, SwitchGame
class SwitchGameUSSerializer(serializers.Serializer):
title = serializers.CharField(max_length=128)
slug = serializers.SlugField(max_le... | 0.484624 | 0.108283 |
from __future__ import (
absolute_import, division, print_function, unicode_literals
)
from collections import defaultdict, namedtuple
import numpy as np
import pandas
from doppelganger.listbalancer import (
balance_multi_cvx, discretize_multi_weights
)
from doppelganger import inputs
HIGH_PASS_THRESHOLD =... | doppelganger/allocation.py |
from __future__ import (
absolute_import, division, print_function, unicode_literals
)
from collections import defaultdict, namedtuple
import numpy as np
import pandas
from doppelganger.listbalancer import (
balance_multi_cvx, discretize_multi_weights
)
from doppelganger import inputs
HIGH_PASS_THRESHOLD =... | 0.890396 | 0.337067 |
import couchdb
import hashlib
import os
import smtplib
import subprocess
import sys
import glob
from datetime import datetime
from email.mime.text import MIMEText
def send_mail(subject, content, receiver):
""" Sends an email
:param str subject: Subject for the email
:param str content: Content of the em... | taca/utils/misc.py | import couchdb
import hashlib
import os
import smtplib
import subprocess
import sys
import glob
from datetime import datetime
from email.mime.text import MIMEText
def send_mail(subject, content, receiver):
""" Sends an email
:param str subject: Subject for the email
:param str content: Content of the em... | 0.394084 | 0.162613 |
import math
import sympy as sp
#The bruteforce method is inefficient in this case.
#We can observe a pattern in the numbers that are generated by the function
#pythaTri().
#The 'base' of the triangle in this case is connected to the Fibonacci Series
#The Fibonacci Series contains the numbers - 1,1,2,3,5,8,13,21,34,55... | Project-Euler-Solutions/138.py |
import math
import sympy as sp
#The bruteforce method is inefficient in this case.
#We can observe a pattern in the numbers that are generated by the function
#pythaTri().
#The 'base' of the triangle in this case is connected to the Fibonacci Series
#The Fibonacci Series contains the numbers - 1,1,2,3,5,8,13,21,34,55... | 0.179243 | 0.437163 |
import json
import subprocess
import time
import unittest
from web3 import Web3, IPCProvider
from app.utils.ethereum_storage import EthereumStorage
from app.utils.ethereum_utils import EthereumUtils
from app.utils.misc import get_executable, get_env, get_ipc
class TestEthereumStorage(unittest.TestCase):
account... | tests/test_ethereum_storage.py | import json
import subprocess
import time
import unittest
from web3 import Web3, IPCProvider
from app.utils.ethereum_storage import EthereumStorage
from app.utils.ethereum_utils import EthereumUtils
from app.utils.misc import get_executable, get_env, get_ipc
class TestEthereumStorage(unittest.TestCase):
account... | 0.408985 | 0.184235 |
from sys import exit
from time import sleep
try:
import keyboard
except ModuleNotFoundError:
print("Could not import \"keyboard\" library (pip install keyboard)")
exit()
start_hotkey = "F7"
message_send_delay = 2
key_press_delay = 0.02
def send_message(string):
# It's not about money, it's about send... | shuffle-employees.py | from sys import exit
from time import sleep
try:
import keyboard
except ModuleNotFoundError:
print("Could not import \"keyboard\" library (pip install keyboard)")
exit()
start_hotkey = "F7"
message_send_delay = 2
key_press_delay = 0.02
def send_message(string):
# It's not about money, it's about send... | 0.178526 | 0.185191 |
import os
import gobject #@UnusedImport
import dbus.service
import ConfigParser
import logging
from datetime import datetime
from subprocess import Popen, PIPE
from clacks.common import Environment
from clacks.common.utils import get_timezone_delta
from clacks.common.components import Plugin
from clacks.dbus.utils imp... | plugins/libinst.cfg.puppet.client/src/libinst/cfg/puppet/client/dbus_main.py |
import os
import gobject #@UnusedImport
import dbus.service
import ConfigParser
import logging
from datetime import datetime
from subprocess import Popen, PIPE
from clacks.common import Environment
from clacks.common.utils import get_timezone_delta
from clacks.common.components import Plugin
from clacks.dbus.utils imp... | 0.462716 | 0.057573 |
import socket
import getpass
import uuid
import yaml
__all__ = ['Request', 'get_laf_rq_id']
class Request():
"""
LAF Request class
"""
__slots__ = ['lone', 'verb', 'pk', 'obj', 'role', 'mode',
'txid', 'rqid', 'user', 'effective_user',
'host', 'obo', 'cm', 'subhandle... | lib/python/laf/server/app/request.py |
import socket
import getpass
import uuid
import yaml
__all__ = ['Request', 'get_laf_rq_id']
class Request():
"""
LAF Request class
"""
__slots__ = ['lone', 'verb', 'pk', 'obj', 'role', 'mode',
'txid', 'rqid', 'user', 'effective_user',
'host', 'obo', 'cm', 'subhandle... | 0.488039 | 0.03925 |
from typing import Mapping, Sequence
import pandas as pd
from multilevel_panels import MultilevelPanel
known = [
('Felis', 'silvestris'),
('Canis', 'lupus'),
('Homo', None),
('Panthera', 'leo'),
('Panthera', 'tigris'),
('Bos', 'taurus'),
('Ovis', None),
]
candidate = [
('Felis', 'si... | examples/example.py | from typing import Mapping, Sequence
import pandas as pd
from multilevel_panels import MultilevelPanel
known = [
('Felis', 'silvestris'),
('Canis', 'lupus'),
('Homo', None),
('Panthera', 'leo'),
('Panthera', 'tigris'),
('Bos', 'taurus'),
('Ovis', None),
]
candidate = [
('Felis', 'si... | 0.887528 | 0.630799 |
import os
import sipconfig
from PyQt4 import pyqtconfig
from distutils import sysconfig
vcs_so = '%s/vcs/_vcs.so' % sysconfig.get_python_lib()
vcs_inc = '%s/vcs/Include' % sysconfig.get_python_lib()
## vcs_so = '/Users/hvo/src/uvcdat/cdatBuild/lib/python2.7/site-packages/vcs/_vcs.so'
## vcs_inc = '/Users/hvo/src/uv... | contrib/cdat/configure.py | import os
import sipconfig
from PyQt4 import pyqtconfig
from distutils import sysconfig
vcs_so = '%s/vcs/_vcs.so' % sysconfig.get_python_lib()
vcs_inc = '%s/vcs/Include' % sysconfig.get_python_lib()
## vcs_so = '/Users/hvo/src/uvcdat/cdatBuild/lib/python2.7/site-packages/vcs/_vcs.so'
## vcs_inc = '/Users/hvo/src/uv... | 0.288669 | 0.049773 |
import os
import sys
sys.path.append(os.getcwd())
import src.data.data as data
import torch
from jobman import DD
vocab_paths = {
"emotion": "data/vocabs/emotion.vocab",
"motivation": "data/vocabs/motivation.vocab",
"sentence": "data/vocabs/tokens.vocab",
"plutchik": "data/vocabs/plutchik8.vocab",
... | scripts/make_dataloader.py | import os
import sys
sys.path.append(os.getcwd())
import src.data.data as data
import torch
from jobman import DD
vocab_paths = {
"emotion": "data/vocabs/emotion.vocab",
"motivation": "data/vocabs/motivation.vocab",
"sentence": "data/vocabs/tokens.vocab",
"plutchik": "data/vocabs/plutchik8.vocab",
... | 0.415254 | 0.435841 |
import os
import argparse
def get_all_ini_files():
"""
collect all ini files in the current folder
:return: a list of sorted file names
"""
current_path = os.getcwd()
all_files = os.listdir(current_path)
ini_files = []
for item in all_files:
if os.path.isfile(item) and item.e... | rec_run.py | import os
import argparse
def get_all_ini_files():
"""
collect all ini files in the current folder
:return: a list of sorted file names
"""
current_path = os.getcwd()
all_files = os.listdir(current_path)
ini_files = []
for item in all_files:
if os.path.isfile(item) and item.e... | 0.374104 | 0.188866 |
import numpy as np
import pandas as pd
import scipy.optimize as op
# ------------------------------------------------------------------------------
# Functions for Single Process with Equispaced Data
# ------------------------------------------------------------------------------
def corr_fun_equisp(data, mean, std):... | llgeo/basic_stats/corr_vert.py | import numpy as np
import pandas as pd
import scipy.optimize as op
# ------------------------------------------------------------------------------
# Functions for Single Process with Equispaced Data
# ------------------------------------------------------------------------------
def corr_fun_equisp(data, mean, std):... | 0.895814 | 0.685213 |
import streamlit as st
import numpy as np
import pandas as pd
from sklearn import datasets
from sklearn.model_selection import train_test_split
import matplotlib.pyplot as plt
import seaborn as sns
plt.style.use('seaborn') # change the default style
def app():
st.set_option('deprecation.showPyplotGlobalUse', Fal... | apps/EDA.py | import streamlit as st
import numpy as np
import pandas as pd
from sklearn import datasets
from sklearn.model_selection import train_test_split
import matplotlib.pyplot as plt
import seaborn as sns
plt.style.use('seaborn') # change the default style
def app():
st.set_option('deprecation.showPyplotGlobalUse', Fal... | 0.315209 | 0.409634 |
from django.apps import AppConfig
from django.conf import settings
from django.core.checks import Error, Tags, register
from django.utils.translation import ugettext_lazy as _
class SimpleWebpackConfig(AppConfig):
name = 'simple_webpack'
verbose_name = _('Simple Webpack')
@register(Tags.compatibility)
def c... | simple_webpack/apps.py | from django.apps import AppConfig
from django.conf import settings
from django.core.checks import Error, Tags, register
from django.utils.translation import ugettext_lazy as _
class SimpleWebpackConfig(AppConfig):
name = 'simple_webpack'
verbose_name = _('Simple Webpack')
@register(Tags.compatibility)
def c... | 0.488039 | 0.052522 |
from flask import abort, jsonify
from flask_restful import Resource, reqparse, marshal_with, fields
from ..modern_api import api
from ..models.topics import Topics
from ..models.user import User
from ..extensions import db, scrape_crawl, text_process
topic_parser = reqparse.RequestParser()
topic_parser.add_argument('u... | flask-nlp-api/modern_api/topics.py | from flask import abort, jsonify
from flask_restful import Resource, reqparse, marshal_with, fields
from ..modern_api import api
from ..models.topics import Topics
from ..models.user import User
from ..extensions import db, scrape_crawl, text_process
topic_parser = reqparse.RequestParser()
topic_parser.add_argument('u... | 0.316158 | 0.060114 |
from ctypes import (
POINTER,
Structure,
WinError,
byref,
c_char_p,
c_uint32,
c_wchar_p,
cast,
pointer,
string_at,
windll,
)
from ctypes.wintypes import BOOL, DWORD, LPBYTE, LPVOID
ATTRIBUTE_KEYWORD = 'python-keyring:authstate'
# region ctypes wrapper structures
class FI... | keyring/backends/Windows/api.py | from ctypes import (
POINTER,
Structure,
WinError,
byref,
c_char_p,
c_uint32,
c_wchar_p,
cast,
pointer,
string_at,
windll,
)
from ctypes.wintypes import BOOL, DWORD, LPBYTE, LPVOID
ATTRIBUTE_KEYWORD = 'python-keyring:authstate'
# region ctypes wrapper structures
class FI... | 0.328637 | 0.129595 |
import datetime
from django.test import TestCase
from mock.mock import MagicMock
from gcloud.taskflow3.models import TaskFlowInstance
from gcloud.tests.mock import mock
from gcloud.tests.mock_settings import TASKFLOW_STATISTICS_FILTER, PIPELINE_INSTANCE_FILTER, PROJECT_FILTER
from gcloud.utils.dates import format_d... | gcloud/tests/taskflow3/models/taskflow/test_group_by_instance_node.py | import datetime
from django.test import TestCase
from mock.mock import MagicMock
from gcloud.taskflow3.models import TaskFlowInstance
from gcloud.tests.mock import mock
from gcloud.tests.mock_settings import TASKFLOW_STATISTICS_FILTER, PIPELINE_INSTANCE_FILTER, PROJECT_FILTER
from gcloud.utils.dates import format_d... | 0.404037 | 0.368008 |
# Libraries
import math
import numpy as np
# Shifts array to the right by n elements
# and inserts n zeros at the beginning of the array
def arr_shift(A,n):
shift = np.zeros(n)
A_shifted = np.insert(A,0,shift)
A_new = A_shifted[0:len(A)]
return(A_new)
# Population AIF from Parker MRM 2006
def AIF(t0... | src/original/ST_USydAUS_DCE/InputFunctions.py | # Libraries
import math
import numpy as np
# Shifts array to the right by n elements
# and inserts n zeros at the beginning of the array
def arr_shift(A,n):
shift = np.zeros(n)
A_shifted = np.insert(A,0,shift)
A_new = A_shifted[0:len(A)]
return(A_new)
# Population AIF from Parker MRM 2006
def AIF(t0... | 0.510741 | 0.550124 |
import warnings
from math import isnan
from ..base import safe_log
from ..utils import check_array, check_types, check_version
class _DecisionTreeBase:
""" Decision tree base class """
def __init__(self, estimator):
if isinstance(estimator, dict):
# sourced from xgboost booster object t... | pure_sklearn/tree/_classes.py | import warnings
from math import isnan
from ..base import safe_log
from ..utils import check_array, check_types, check_version
class _DecisionTreeBase:
""" Decision tree base class """
def __init__(self, estimator):
if isinstance(estimator, dict):
# sourced from xgboost booster object t... | 0.804214 | 0.337258 |
import logging
import platform
import subprocess
from pathlib import Path
WIN_EXE_POTENTIAL_PATHS = [
"C:\\Program Files\\Inkscape\\inkscape.exe",
"C:\\Program Files\\Inkscape\\bin\\inkscape.exe"
]
if platform.system() == "Windows":
INKSCAPE_PATH = None
for _potential_path in WIN_EXE_POTENTIAL_PATHS:
... | pyinkscape/render.py | import logging
import platform
import subprocess
from pathlib import Path
WIN_EXE_POTENTIAL_PATHS = [
"C:\\Program Files\\Inkscape\\inkscape.exe",
"C:\\Program Files\\Inkscape\\bin\\inkscape.exe"
]
if platform.system() == "Windows":
INKSCAPE_PATH = None
for _potential_path in WIN_EXE_POTENTIAL_PATHS:
... | 0.206094 | 0.080213 |
import sys
import numpy as np
from numba import njit, i8
read = sys.stdin.buffer.read
readline = sys.stdin.buffer.readline
readlines = sys.stdin.buffer.readlines
def from_read(dtype=np.int64):
return np.fromstring(read().decode(), dtype=dtype, sep=' ')
def from_readline(dtype=np.int64):
return np.fromstrin... | src/data/1076.py | import sys
import numpy as np
from numba import njit, i8
read = sys.stdin.buffer.read
readline = sys.stdin.buffer.readline
readlines = sys.stdin.buffer.readlines
def from_read(dtype=np.int64):
return np.fromstring(read().decode(), dtype=dtype, sep=' ')
def from_readline(dtype=np.int64):
return np.fromstrin... | 0.255065 | 0.537891 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
from . import outputs
__all__ = [
'GetInternetGatewayResult',
'AwaitableGetInternetGatewayResult',
'get_internet_gateway',
'get_internet_gateway_output',
]... | sdk/python/pulumi_aws_native/ec2/get_internet_gateway.py |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
from . import outputs
__all__ = [
'GetInternetGatewayResult',
'AwaitableGetInternetGatewayResult',
'get_internet_gateway',
'get_internet_gateway_output',
]... | 0.729038 | 0.042822 |
import os
from os import path as op
import shutil
import re
import md5
# This script file path
SCRIPT_PATH = op.abspath(op.dirname(__file__))
# LLBC root path
LLBC_ROOT_PATH = op.normpath(op.join(SCRIPT_PATH, u'../../../../'))
# CPP errno file name
CPP_ERRNO_FILE = op.join(LLBC_ROOT_PATH, u'llbc', u'include', u'llbc... | wrap/csllbc/csharp/script_tools/gen_errno_code.py | import os
from os import path as op
import shutil
import re
import md5
# This script file path
SCRIPT_PATH = op.abspath(op.dirname(__file__))
# LLBC root path
LLBC_ROOT_PATH = op.normpath(op.join(SCRIPT_PATH, u'../../../../'))
# CPP errno file name
CPP_ERRNO_FILE = op.join(LLBC_ROOT_PATH, u'llbc', u'include', u'llbc... | 0.156041 | 0.056731 |
import abc
from django.contrib import admin
from django.contrib.admin.models import LogEntry, ContentType, CHANGE
class CustomActionsModelAdmin(admin.ModelAdmin):
""" A ModelAdmin that adds a row of custom actions to change pages
"""
__metaclass__ = abc.ABCMeta
SUBMIT_ACTION_PREFIX = "custom_admin_a... | custom_admin_actions/admin.py | import abc
from django.contrib import admin
from django.contrib.admin.models import LogEntry, ContentType, CHANGE
class CustomActionsModelAdmin(admin.ModelAdmin):
""" A ModelAdmin that adds a row of custom actions to change pages
"""
__metaclass__ = abc.ABCMeta
SUBMIT_ACTION_PREFIX = "custom_admin_a... | 0.606032 | 0.109944 |
import calendar, json
from urllib.parse import urlparse
import requests
from datetime import date, time, datetime, timedelta
from django.db import models
from django.utils.translation import gettext_lazy as _
from django.contrib.auth.models import User
from django.core.validators import URLValidator
from django.core.e... | task/models.py | import calendar, json
from urllib.parse import urlparse
import requests
from datetime import date, time, datetime, timedelta
from django.db import models
from django.utils.translation import gettext_lazy as _
from django.contrib.auth.models import User
from django.core.validators import URLValidator
from django.core.e... | 0.217504 | 0.085327 |
from torch import nn
class Conv(nn.Module):
def __init__(self, c_in, c_out, k, s, p, bias=True):
"""
自定义一个卷积块，一次性完成卷积+归一化+激活，这在类似于像DarkNet53这样的深层网络编码上可以节省很多代码
:param c_in: in_channels
:param c_out: out_channels
:param k: kernel_size
:param s: stride
:param p: padding
:param bias: …
"""
super(Conv... | darknet53.py | from torch import nn
class Conv(nn.Module):
def __init__(self, c_in, c_out, k, s, p, bias=True):
"""
自定义一个卷积块，一次性完成卷积+归一化+激活，这在类似于像DarkNet53这样的深层网络编码上可以节省很多代码
:param c_in: in_channels
:param c_out: out_channels
:param k: kernel_size
:param s: stride
:param p: padding
:param bias: …
"""
super(Conv... | 0.872836 | 0.53048 |
from datetime import datetime
import logging
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from user.common.errors import UserDbException
from user.db.models import users as models
log = logging.getLogger(__name__)
class DBConnection(object):
def __init__(self, host,... | user/db/manager.py | from datetime import datetime
import logging
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from user.common.errors import UserDbException
from user.db.models import users as models
log = logging.getLogger(__name__)
class DBConnection(object):
def __init__(self, host,... | 0.314051 | 0.052619 |
import os
from django.conf.global_settings import TEMPLATE_CONTEXT_PROCESSORS
PROJECT_ROOT = os.path.dirname(__file__)
PROJECT_NAME = os.path.split(PROJECT_ROOT)[-1]
try:
SECRET_KEY
except NameError:
SECRET_FILE = os.path.join(PROJECT_ROOT, 'secret.txt')
try:
SECRET_KEY = open(SECRET_FILE).read().... | journeyman/settings.py | import os
from django.conf.global_settings import TEMPLATE_CONTEXT_PROCESSORS
PROJECT_ROOT = os.path.dirname(__file__)
PROJECT_NAME = os.path.split(PROJECT_ROOT)[-1]
try:
SECRET_KEY
except NameError:
SECRET_FILE = os.path.join(PROJECT_ROOT, 'secret.txt')
try:
SECRET_KEY = open(SECRET_FILE).read().... | 0.144269 | 0.041891 |
import os, datetime, requests
import tensorflow as tf
from sklearn.model_selection import train_test_split as sk_train_test_split
import matplotlib.pyplot as plt
import numpy as np
from .datagen import DataGen
def train_test_split(ids):
IDs_train, IDs_test = sk_train_test_split(ids, train_size=0.75)
return I... | mysdss/utils.py | import os, datetime, requests
import tensorflow as tf
from sklearn.model_selection import train_test_split as sk_train_test_split
import matplotlib.pyplot as plt
import numpy as np
from .datagen import DataGen
def train_test_split(ids):
IDs_train, IDs_test = sk_train_test_split(ids, train_size=0.75)
return I... | 0.718298 | 0.572065 |
from pytest_bdd import given, when, then
from model.contact import Contact
from random import randrange
import random
@given('a contact list')
def contact_list(orm):
return orm.get_contact_list()
@given('a new contact with <firstname>, <lastname>, <address>, <homephone>, <mobilephone>, <workphone>, <secondaryph... | bdd/contact_steps.py | from pytest_bdd import given, when, then
from model.contact import Contact
from random import randrange
import random
@given('a contact list')
def contact_list(orm):
return orm.get_contact_list()
@given('a new contact with <firstname>, <lastname>, <address>, <homephone>, <mobilephone>, <workphone>, <secondaryph... | 0.496094 | 0.162081 |
from strabo.strabo_object import StraboObject
import requests
class Location(StraboObject):
def __init__(self, lat = None, lon = None):
super(Location, self).__init__()
self.lat = lat
self.lon = lon
def nearest_neighbors(self, location_set, n):
return self.from_sexpr("nearest_... | client/python/strabo/location.py |
from strabo.strabo_object import StraboObject
import requests
class Location(StraboObject):
def __init__(self, lat = None, lon = None):
super(Location, self).__init__()
self.lat = lat
self.lon = lon
def nearest_neighbors(self, location_set, n):
return self.from_sexpr("nearest_... | 0.866867 | 0.29111 |
from datetime import date, timedelta
from django.conf import settings
from django.db.models.base import ModelBase
from django.db.models.query import QuerySet
from django.test import RequestFactory
from extract_msg import Message
from pathlib import Path
from referral.models import Referral, Task, Record
from referral.t... | prs2/referral/test_utils.py | from datetime import date, timedelta
from django.conf import settings
from django.db.models.base import ModelBase
from django.db.models.query import QuerySet
from django.test import RequestFactory
from extract_msg import Message
from pathlib import Path
from referral.models import Referral, Task, Record
from referral.t... | 0.659734 | 0.292924 |
import unittest
from unittest.mock import MagicMock
from unittest.mock import patch
from keydra.exceptions import DistributionException
from keydra.providers import aws_appsync
SECRET = {
'description': 'Secret for appsync used by treasury integrations',
'key': 'treasury-integrations',
'config': {
'api-i... | tests/test_provider_aws_appsync.py | import unittest
from unittest.mock import MagicMock
from unittest.mock import patch
from keydra.exceptions import DistributionException
from keydra.providers import aws_appsync
SECRET = {
'description': 'Secret for appsync used by treasury integrations',
'key': 'treasury-integrations',
'config': {
'api-i... | 0.565419 | 0.303087 |
# Python modules
from __future__ import absolute_import
import operator
from threading import Lock
# Third-party modules
import six
from pymongo import UpdateOne
from mongoengine.document import Document
from mongoengine.fields import (
StringField,
ReferenceField,
IntField,
BooleanField,
LongFiel... | sa/models/serviceprofile.py |
# Python modules
from __future__ import absolute_import
import operator
from threading import Lock
# Third-party modules
import six
from pymongo import UpdateOne
from mongoengine.document import Document
from mongoengine.fields import (
StringField,
ReferenceField,
IntField,
BooleanField,
LongFiel... | 0.683208 | 0.113949 |
from unittest import TestCase
from ipipeline.exceptions import CatalogError
from ipipeline.structure.catalog import Catalog
class TestCatalog(TestCase):
def test_init(self) -> None:
catalog = Catalog('c1', items={'i1': 7}, tags=['t1'])
self.assertEqual(catalog.id, 'c1')
self.assertDictEq... | tests/structure/test_catalog.py | from unittest import TestCase
from ipipeline.exceptions import CatalogError
from ipipeline.structure.catalog import Catalog
class TestCatalog(TestCase):
def test_init(self) -> None:
catalog = Catalog('c1', items={'i1': 7}, tags=['t1'])
self.assertEqual(catalog.id, 'c1')
self.assertDictEq... | 0.739611 | 0.560974 |
from PySide2 import QtCore
from opencmiss.zincwidgets.sceneviewerwidget import SceneviewerWidget
from mapclientplugins.hoofmeasurementstep.utils.algorithms import calculateLinePlaneIntersection
class ZincHoofMeasurementWidget(SceneviewerWidget):
'''
classdocs
'''
def __init__(self, parent=None):
... | mapclientplugins/hoofmeasurementstep/view/zinchoofmeasurementwidget.py | from PySide2 import QtCore
from opencmiss.zincwidgets.sceneviewerwidget import SceneviewerWidget
from mapclientplugins.hoofmeasurementstep.utils.algorithms import calculateLinePlaneIntersection
class ZincHoofMeasurementWidget(SceneviewerWidget):
'''
classdocs
'''
def __init__(self, parent=None):
... | 0.688783 | 0.215124 |
__author__ = "<NAME>"
__email__ = "<EMAIL>"
__version__ = '0.1.1'
import logging
import struct
import simplejson
import tornado.gen
import tornado.ioloop
import tornado.iostream
import tornado.options
import tornado.tcpclient
# Class for TCP Packet Encapsulation
class tcpclass:
def __init__(self, delimiter='<... | jsontcpclient.py |
__author__ = "<NAME>"
__email__ = "<EMAIL>"
__version__ = '0.1.1'
import logging
import struct
import simplejson
import tornado.gen
import tornado.ioloop
import tornado.iostream
import tornado.options
import tornado.tcpclient
# Class for TCP Packet Encapsulation
class tcpclass:
def __init__(self, delimiter='<... | 0.412885 | 0.083329 |
import tensorflow as tf
# Inspired by http://web.stanford.edu/class/cs20si/lectures/slides_14.pdf
class ReplayBuffer:
def __init__(self, templates, capacity):
self.capacity = capacity
self.buffers = self._create_buffers(templates)
self.index = tf.Variable(0, dtype=tf.int32, trainable=Fals... | utils/replay_buffer.py | import tensorflow as tf
# Inspired by http://web.stanford.edu/class/cs20si/lectures/slides_14.pdf
class ReplayBuffer:
def __init__(self, templates, capacity):
self.capacity = capacity
self.buffers = self._create_buffers(templates)
self.index = tf.Variable(0, dtype=tf.int32, trainable=Fals... | 0.786991 | 0.250844 |
from datetime import timedelta
from collections import deque
from django.db import models
from django.contrib.postgres.fields import JSONField
from django.core.serializers.json import DjangoJSONEncoder
from django.utils.dateparse import parse_datetime, parse_duration
class Video(models.Model):
data = JSONField(en... | tcls/core/models.py | from datetime import timedelta
from collections import deque
from django.db import models
from django.contrib.postgres.fields import JSONField
from django.core.serializers.json import DjangoJSONEncoder
from django.utils.dateparse import parse_datetime, parse_duration
class Video(models.Model):
data = JSONField(en... | 0.620622 | 0.165661 |
import pandas as pd
from sklearn.ensemble import RandomForestRegressor
from sklearn.ensemble import BaggingRegressor
from sklearn.ensemble import ExtraTreesRegressor
from sklearn.ensemble import AdaBoostRegressor
from sklearn.ensemble import GradientBoostingRegressor
from sklearn.ensemble import RandomTreesEmbedding
fr... | Online Product Sales/online-baseline.py | import pandas as pd
from sklearn.ensemble import RandomForestRegressor
from sklearn.ensemble import BaggingRegressor
from sklearn.ensemble import ExtraTreesRegressor
from sklearn.ensemble import AdaBoostRegressor
from sklearn.ensemble import GradientBoostingRegressor
from sklearn.ensemble import RandomTreesEmbedding
fr... | 0.508056 | 0.382286 |
import coc
import discord
from config import *
async def claim(client_discord,
connectionBDD,
args,
message):
"""claim:
Args:
client_discord ([discord.Client]): [un client pour l'API discord]
connectionBDD ([database_outils.appelsBDD]): [un conn... | commandes/claim.py | import coc
import discord
from config import *
async def claim(client_discord,
connectionBDD,
args,
message):
"""claim:
Args:
client_discord ([discord.Client]): [un client pour l'API discord]
connectionBDD ([database_outils.appelsBDD]): [un conn... | 0.181408 | 0.131257 |
import sys
import numpy as np
import pickle as pkl
import re
import itertools
import time
import gc
import gzip
from collections import Counter
from tensorflow.contrib import learn
from gensim.models.word2vec import Word2Vec
from random import random
from preprocess import MyVocabularyProcessor
class InputHelper(obj... | Chatbot_Model/Sentence_Similarity/input_helpers.py | import sys
import numpy as np
import pickle as pkl
import re
import itertools
import time
import gc
import gzip
from collections import Counter
from tensorflow.contrib import learn
from gensim.models.word2vec import Word2Vec
from random import random
from preprocess import MyVocabularyProcessor
class InputHelper(obj... | 0.295535 | 0.211885 |
import cv2
from importlib import import_module
from typing import Any, List
from darcyai.config_registry import ConfigRegistry
from darcyai.utils import validate_not_none, validate_type, validate
from .coral_perceptor_base import CoralPerceptorBase
class ObjectDetectionPerceptor(CoralPerceptorBase):
"""
Obj... | src/darcyai/perceptor/coral/object_detection_perceptor.py | import cv2
from importlib import import_module
from typing import Any, List
from darcyai.config_registry import ConfigRegistry
from darcyai.utils import validate_not_none, validate_type, validate
from .coral_perceptor_base import CoralPerceptorBase
class ObjectDetectionPerceptor(CoralPerceptorBase):
"""
Obj... | 0.704364 | 0.252914 |
import logging
import argparse
from pathlib import Path
import numpy as np
from skimage.filters import gaussian
from brainio import brainio
from imlib.cells.utils import get_cell_location_array
from imlib.image.scale import scale_and_convert_to_16_bits
from imlib.image.binning import get_bins
from imlib.image.shape im... | neuro/heatmap/heatmap.py | import logging
import argparse
from pathlib import Path
import numpy as np
from skimage.filters import gaussian
from brainio import brainio
from imlib.cells.utils import get_cell_location_array
from imlib.image.scale import scale_and_convert_to_16_bits
from imlib.image.binning import get_bins
from imlib.image.shape im... | 0.508788 | 0.468669 |
import time
import logging
import collections.abc
logger = logging.getLogger(__name__)
class LazyPageConfigLoaderHasNoValue(Exception):
""" An exception that can be returned when a loader for `LazyPageConfig`
can't return any value.
"""
pass
class LazyPageConfigData(collections.abc.Mapping):
... | piecrust/data/pagedata.py | import time
import logging
import collections.abc
logger = logging.getLogger(__name__)
class LazyPageConfigLoaderHasNoValue(Exception):
""" An exception that can be returned when a loader for `LazyPageConfig`
can't return any value.
"""
pass
class LazyPageConfigData(collections.abc.Mapping):
... | 0.637595 | 0.144179 |
import time
from sqlalchemy import update
from backend.session import create_session
from db.models import User, EyeData, Score
import secrets
from db.models.sensitivity import Sensitivity
def create_new_user(first_name=None, last_name=None, email=None, cookie=None):
if cookie is None:
cookie = secrets... | backend/utils/utils.py | import time
from sqlalchemy import update
from backend.session import create_session
from db.models import User, EyeData, Score
import secrets
from db.models.sensitivity import Sensitivity
def create_new_user(first_name=None, last_name=None, email=None, cookie=None):
if cookie is None:
cookie = secrets... | 0.414425 | 0.188697 |
import numpy as np
import matplotlib.pyplot as plt
from astropy.coordinates import SkyCoord, search_around_sky
import astropy.units as u
def overlap(b4_reg, b7_reg, sep):
"""
function to find ds9 ellipse regions that match or overlap between band 4 and band 7
"""
# define some other little functions
def match_f... | scripts/overlapping_regions.py | import numpy as np
import matplotlib.pyplot as plt
from astropy.coordinates import SkyCoord, search_around_sky
import astropy.units as u
def overlap(b4_reg, b7_reg, sep):
"""
function to find ds9 ellipse regions that match or overlap between band 4 and band 7
"""
# define some other little functions
def match_f... | 0.47317 | 0.661773 |
import enum
import random
from datetime import datetime
import discord
from discord.ext import commands
from thoughtful_termites.bot.unlocks import has_unlocked
class Tile(enum.Enum):
"""
An enum encapsulating every tile in Treefinder, either empty (i.e.
not containing a mine) or that it contains a mine... | thoughtful_termites/bot/cogs/treefinder.py | import enum
import random
from datetime import datetime
import discord
from discord.ext import commands
from thoughtful_termites.bot.unlocks import has_unlocked
class Tile(enum.Enum):
"""
An enum encapsulating every tile in Treefinder, either empty (i.e.
not containing a mine) or that it contains a mine... | 0.749637 | 0.737844 |
from dataclasses import dataclass
from typing import List, overload
from opentrons_hardware.firmware_bindings.constants import NodeId, SensorType
from opentrons_hardware.firmware_bindings.utils.binary_serializable import UInt32Field
@dataclass
class SensorDataType:
"""Storage class for sensor data."""
backi... | hardware/opentrons_hardware/sensors/utils.py | from dataclasses import dataclass
from typing import List, overload
from opentrons_hardware.firmware_bindings.constants import NodeId, SensorType
from opentrons_hardware.firmware_bindings.utils.binary_serializable import UInt32Field
@dataclass
class SensorDataType:
"""Storage class for sensor data."""
backi... | 0.921176 | 0.400867 |
import shap
import warnings
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
try:
import plotly.express as px
import plotly.graph_objects as go
except ModuleNotFoundError:
_has_plotly = False
_plotly_exception_message = (
'Plotly is required to run this pydrift functionalit... | pydrift/core/interpretable_drift.py | import shap
import warnings
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
try:
import plotly.express as px
import plotly.graph_objects as go
except ModuleNotFoundError:
_has_plotly = False
_plotly_exception_message = (
'Plotly is required to run this pydrift functionalit... | 0.744749 | 0.449453 |
import logging
from abc import ABC
from typing import Any, Dict, Type, Union
from torch.optim import Optimizer
from torch.tensor import Tensor
from torch.utils.data import DataLoader, TensorDataset
from melbe.collections.pipelines.torch.configs import TorchConfig
from melbe.data import PREDICTIONS, TEXT_SENTENCE, LIS... | melbe/collections/pipelines/torch/__init__.py | import logging
from abc import ABC
from typing import Any, Dict, Type, Union
from torch.optim import Optimizer
from torch.tensor import Tensor
from torch.utils.data import DataLoader, TensorDataset
from melbe.collections.pipelines.torch.configs import TorchConfig
from melbe.data import PREDICTIONS, TEXT_SENTENCE, LIS... | 0.901055 | 0.372077 |
import unittest
from kiss_headers import (
AltSvc,
CacheControl,
ContentEncoding,
ContentLength,
ContentType,
Date,
Expires,
Header,
Server,
SetCookie,
StrictTransportSecurity,
XFrameOptions,
XXssProtection,
explain,
)
class MyExplainTestCase(unittest.TestCase)... | tests/test_explain.py | import unittest
from kiss_headers import (
AltSvc,
CacheControl,
ContentEncoding,
ContentLength,
ContentType,
Date,
Expires,
Header,
Server,
SetCookie,
StrictTransportSecurity,
XFrameOptions,
XXssProtection,
explain,
)
class MyExplainTestCase(unittest.TestCase)... | 0.4856 | 0.241204 |
import json
from libheat.stntools.stn import STN
NO_AGENT = 0
def mit2stn(fp: str, add_z=False, connect_origin=False, cap=True) -> list:
"""Convert MIT JSON file to a PSTN via the STN class.
Args:
fp: File path for the JSON file.
add_z (boolean, optional): Add an extra z timepoint to the S... | libheat/stntools/mitparser.py | import json
from libheat.stntools.stn import STN
NO_AGENT = 0
def mit2stn(fp: str, add_z=False, connect_origin=False, cap=True) -> list:
"""Convert MIT JSON file to a PSTN via the STN class.
Args:
fp: File path for the JSON file.
add_z (boolean, optional): Add an extra z timepoint to the S... | 0.75985 | 0.266638 |
import qi
import argparse
import sys
def main(session, topic_path):
"""
This example uses ALDialog methods.
It's a short dialog session with one topic.
"""
# Getting the service ALDialog
ALDialog = session.service("ALDialog")
ALDialog.setLanguage("English")
# Loading the topic given by... | naoqi-sdk-2.5.5.5-linux64/doc/_downloads/aldialog_example_load_as_file.py | import qi
import argparse
import sys
def main(session, topic_path):
"""
This example uses ALDialog methods.
It's a short dialog session with one topic.
"""
# Getting the service ALDialog
ALDialog = session.service("ALDialog")
ALDialog.setLanguage("English")
# Loading the topic given by... | 0.353651 | 0.143638 |