code stringlengths 2k 1.04M | repo_path stringlengths 5 517 | parsed_code stringlengths 0 1.04M | quality_prob float64 0.02 0.95 | learning_prob float64 0.02 0.93 |
|---|---|---|---|---|
from bs4 import BeautifulSoup
import requests
import re
from math import ceil
all_quotes= {}
global_countr= 1
def clean_quote(quote_uncleaned):
# remove unwanted characters
cleaned_quote1= re.sub('\n','',quote_uncleaned)
cleaned_quote2= re.sub(' +',' ',cleaned_quote1)
cleaned_quote3= re.sub(' “','',... | scrapper/web_scrapper.py | from bs4 import BeautifulSoup
import requests
import re
from math import ceil
all_quotes= {}
global_countr= 1
def clean_quote(quote_uncleaned):
# remove unwanted characters
cleaned_quote1= re.sub('\n','',quote_uncleaned)
cleaned_quote2= re.sub(' +',' ',cleaned_quote1)
cleaned_quote3= re.sub(' “','',... | 0.136637 | 0.095687 |
from ..builder import EMBEDDING
from torch import nn
import torch
import math
class BertLayerNorm(nn.Module):
def __init__(self, hidden_size, eps=1e-12):
"""Construct a layernorm module in the TF style (epsilon inside the
square root)."""
super(BertLayerNorm, self).__init__()
self... | imix/models/embedding/visual_dialog_embedding.py | from ..builder import EMBEDDING
from torch import nn
import torch
import math
class BertLayerNorm(nn.Module):
def __init__(self, hidden_size, eps=1e-12):
"""Construct a layernorm module in the TF style (epsilon inside the
square root)."""
super(BertLayerNorm, self).__init__()
self... | 0.962365 | 0.420302 |
import click
from .measurement_composite import MeasurementComposite
from .plotter import Plotter
@click.command(
help='Calculate snow albedo from a sequence of up and down looking '
'measurements with the ASD field spectrometer.'
)
@click.option(
'-in', '--input-dir',
prompt=True, type=click.Pa... | src/spectro_dp/asd/albedo.py | import click
from .measurement_composite import MeasurementComposite
from .plotter import Plotter
@click.command(
help='Calculate snow albedo from a sequence of up and down looking '
'measurements with the ASD field spectrometer.'
)
@click.option(
'-in', '--input-dir',
prompt=True, type=click.Pa... | 0.370225 | 0.196614 |
import base64
import re
from nbconvert.exporters.html import HTMLExporter
from ipython_genutils.ipstruct import Struct
import os
try:
from urllib.request import urlopen # py3
except ImportError:
from urllib2 import urlopen
class EmbedHTMLExporter(HTMLExporter):
"""
:mod:`nbconvert` Exporter which e... | jupyter_contrib_nbextensions/nbconvert_support/embedhtml.py |
import base64
import re
from nbconvert.exporters.html import HTMLExporter
from ipython_genutils.ipstruct import Struct
import os
try:
from urllib.request import urlopen # py3
except ImportError:
from urllib2 import urlopen
class EmbedHTMLExporter(HTMLExporter):
"""
:mod:`nbconvert` Exporter which e... | 0.591133 | 0.200577 |
# Práctica 1, <NAME>
# <NAME>
# Método de Newton para minimizar funciones
import numpy as np
import sympy as sp
import matplotlib.pyplot as plt
x, y = sp.symbols('x y')
# Función a minimizar
f_sym=sp.Lambda((x,y), sp.simplify((x-2)**2+2*(y+2)**2+2*sp.sin(2*sp.pi*x)*sp.sin(2*sp.pi*y)))
def f(w):
return float(f_sym... | practica1/bonus.py |
# Práctica 1, <NAME>
# <NAME>
# Método de Newton para minimizar funciones
import numpy as np
import sympy as sp
import matplotlib.pyplot as plt
x, y = sp.symbols('x y')
# Función a minimizar
f_sym=sp.Lambda((x,y), sp.simplify((x-2)**2+2*(y+2)**2+2*sp.sin(2*sp.pi*x)*sp.sin(2*sp.pi*y)))
def f(w):
return float(f_sym... | 0.334589 | 0.588357 |
import sys
_style_dict = {
"reset": "\033[0m",
"bold": "\033[01m",
"disable": '\033[02m',
"underline": '\033[04m',
"reverse": '\033[07m',
"strikethrough": '\033[09m',
"invisible": '\033[08m'
}
_fg_dict = {
"black": "\033[30m",
"red": "\033[31m",
"green": "\033[32m",
"orange... | stylization/stylization.py | import sys
_style_dict = {
"reset": "\033[0m",
"bold": "\033[01m",
"disable": '\033[02m',
"underline": '\033[04m',
"reverse": '\033[07m',
"strikethrough": '\033[09m',
"invisible": '\033[08m'
}
_fg_dict = {
"black": "\033[30m",
"red": "\033[31m",
"green": "\033[32m",
"orange... | 0.434941 | 0.234752 |
from __init__ import *
# no functions
# classes
class MyList(FindableList):
""" MyList() """
def ZZZ(self):
"""hardcoded/mock instance of the class"""
return MyList()
instance=ZZZ()
"""hardcoded/returns an instance of the class"""
def ToString(self):
""" ToString(self: MyList) -> str """
pa... | release/stubs.min/Wms/RemotingObjects/Settings/SettingObjects.py | from __init__ import *
# no functions
# classes
class MyList(FindableList):
""" MyList() """
def ZZZ(self):
"""hardcoded/mock instance of the class"""
return MyList()
instance=ZZZ()
"""hardcoded/returns an instance of the class"""
def ToString(self):
""" ToString(self: MyList) -> str """
pa... | 0.637934 | 0.113653 |
import os
from codecs import open
from setuptools import setup
try:
from ConfigParser import ConfigParser
except ImportError:
from configparser import ConfigParser
CONF = ConfigParser()
HERE = os.path.abspath(os.path.dirname(__file__))
def create_version_py(packagename, version, source_dir='.'):
packa... | setup.py | import os
from codecs import open
from setuptools import setup
try:
from ConfigParser import ConfigParser
except ImportError:
from configparser import ConfigParser
CONF = ConfigParser()
HERE = os.path.abspath(os.path.dirname(__file__))
def create_version_py(packagename, version, source_dir='.'):
packa... | 0.269422 | 0.102305 |
import torch.nn as nn
import numpy as np
import time
import cv2
import os
import shutil
import tqdm
import torch
import wandb
from utils.metrics import AUC
from data.utils import transform
from model.models import Stacking, save_dense_backbone, load_dense_backbone, save_resnet_backbone, load_resnet_backbone, Ensemble, ... | model/classifier.py | import torch.nn as nn
import numpy as np
import time
import cv2
import os
import shutil
import tqdm
import torch
import wandb
from utils.metrics import AUC
from data.utils import transform
from model.models import Stacking, save_dense_backbone, load_dense_backbone, save_resnet_backbone, load_resnet_backbone, Ensemble, ... | 0.84367 | 0.24659 |
import pytest
from core.test_run import TestRun
from iotrace import IotracePlugin
from utils.installer import insert_module
def test_help():
TestRun.LOGGER.info("Testing cli help")
output = TestRun.executor.run('iotrace -H')
if output.exit_code != 0:
raise Exception("Failed to run executable")
... | tests/security/test_sanity.py |
import pytest
from core.test_run import TestRun
from iotrace import IotracePlugin
from utils.installer import insert_module
def test_help():
TestRun.LOGGER.info("Testing cli help")
output = TestRun.executor.run('iotrace -H')
if output.exit_code != 0:
raise Exception("Failed to run executable")
... | 0.229104 | 0.356923 |
import pandas as pd
from google.cloud import translate
import os
import numpy as np
import csv
os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = r'/Users/hbae/PycharmProjects/keraconocr/venv/credentials2.json'
def test():
df = pd.read_csv('/Users/hbae/PycharmProjects/keraconocr/venv/Final_Data_v2_Cleansing_spell_ch... | collect/csvTotxt.py | import pandas as pd
from google.cloud import translate
import os
import numpy as np
import csv
os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = r'/Users/hbae/PycharmProjects/keraconocr/venv/credentials2.json'
def test():
df = pd.read_csv('/Users/hbae/PycharmProjects/keraconocr/venv/Final_Data_v2_Cleansing_spell_ch... | 0.079859 | 0.064742 |
from django.utils.translation import ugettext_lazy as _
from wagtail.core import blocks
from wagtail.images.blocks import ImageChooserBlock
__all__ = ['LinkBlock', 'Badge', 'Button', 'FAB', 'Breadcrumb', 'Card', 'Collection', 'Icon', 'Preloader']
class LinkStructValue(blocks.StructValue):
def url(self):
... | wagtail_materializecss/components.py | from django.utils.translation import ugettext_lazy as _
from wagtail.core import blocks
from wagtail.images.blocks import ImageChooserBlock
__all__ = ['LinkBlock', 'Badge', 'Button', 'FAB', 'Breadcrumb', 'Card', 'Collection', 'Icon', 'Preloader']
class LinkStructValue(blocks.StructValue):
def url(self):
... | 0.764452 | 0.094343 |
import math
import os
import random
import re
import sys
def anagrams_in_string(s):
'''
Given a string, find the number of pairs of substrings of the string that are anagrams of each other.
For example 'mom', the list of all anagrammatic pairs is [m,m], [mo, om].
Anagrams = the letters of one strin... | strings/anagrams_in_string.py | import math
import os
import random
import re
import sys
def anagrams_in_string(s):
'''
Given a string, find the number of pairs of substrings of the string that are anagrams of each other.
For example 'mom', the list of all anagrammatic pairs is [m,m], [mo, om].
Anagrams = the letters of one strin... | 0.097589 | 0.415492 |
from django.contrib.gis.geos import *
from django.contrib.gis.measure import D
from procyon.starsystemmaker.space_helpers import *
from django.contrib.gis.db import models
from procyon.starcatalog.models import Star, StarType, StarLuminosityType
import json
class StarModel(models.Model):
"""
Additional data a... | procyon/starsystemmaker/models.py | from django.contrib.gis.geos import *
from django.contrib.gis.measure import D
from procyon.starsystemmaker.space_helpers import *
from django.contrib.gis.db import models
from procyon.starcatalog.models import Star, StarType, StarLuminosityType
import json
class StarModel(models.Model):
"""
Additional data a... | 0.417034 | 0.216136 |
import pathlib
import tempfile
from ldp.parse import splits
import pytest
@pytest.yield_fixture
def paths():
"""Yields fake (representation, annotation) path pair for testing."""
with tempfile.TemporaryDirectory() as tempdir:
root = pathlib.Path(tempdir)
representations = root / 'train_reps... | tests/parse/splits_test.py | import pathlib
import tempfile
from ldp.parse import splits
import pytest
@pytest.yield_fixture
def paths():
"""Yields fake (representation, annotation) path pair for testing."""
with tempfile.TemporaryDirectory() as tempdir:
root = pathlib.Path(tempdir)
representations = root / 'train_reps... | 0.770119 | 0.731754 |
__author__ = '<NAME>'
__email__ = '<EMAIL>'
import numpy as np
import scipy.signal as sig
from skimage.filters import gaussian
from tv_fista import deconvolve_fista
def deconvolve_tv(image, psf, noise_level=0.05, min_value=0, max_value=1,
intermediate_it=30, it=40, intermediate_eps=1e-3, eps=1e-5):... | improve/easy_deconvolve.py | __author__ = '<NAME>'
__email__ = '<EMAIL>'
import numpy as np
import scipy.signal as sig
from skimage.filters import gaussian
from tv_fista import deconvolve_fista
def deconvolve_tv(image, psf, noise_level=0.05, min_value=0, max_value=1,
intermediate_it=30, it=40, intermediate_eps=1e-3, eps=1e-5):... | 0.891964 | 0.716913 |
import time
from typing import Any, Dict, Optional
from airflow.exceptions import AirflowException
from airflow.providers.google.cloud.hooks.dataproc import DataprocHook
from airflow.providers.google.cloud.links.dataproc import (
DATAPROC_CLUSTER_LINK,
DataprocLink,
)
from airflow.providers.google.cloud.operat... | astronomer/providers/google/cloud/operators/dataproc.py | import time
from typing import Any, Dict, Optional
from airflow.exceptions import AirflowException
from airflow.providers.google.cloud.hooks.dataproc import DataprocHook
from airflow.providers.google.cloud.links.dataproc import (
DATAPROC_CLUSTER_LINK,
DataprocLink,
)
from airflow.providers.google.cloud.operat... | 0.887613 | 0.452899 |
import os
from typing import List, Tuple
import random
import string
from collections import OrderedDict
import pandas as pd
from engine.utils.preprocessing import Preprocessor
from engine.utils.preprocess_utils import delete_overlapping_tuples
from engine.preprocess.preprocess_superclass import Preprocess
class Rep... | engine/preprocess/replace_longforms.py | import os
from typing import List, Tuple
import random
import string
from collections import OrderedDict
import pandas as pd
from engine.utils.preprocessing import Preprocessor
from engine.utils.preprocess_utils import delete_overlapping_tuples
from engine.preprocess.preprocess_superclass import Preprocess
class Rep... | 0.801431 | 0.327037 |
from bs4 import BeautifulSoup
import requests
from typing import List, Dict
import json
import time
def get_all_whiskys(urls: List[str], headers: Dict[str, str]) -> Dict[str, str]:
"""Function to scrape name and further details link from each row of whisky from every page on each url in a list of urls from master... | web-scraper/src/scraping_functions.py | from bs4 import BeautifulSoup
import requests
from typing import List, Dict
import json
import time
def get_all_whiskys(urls: List[str], headers: Dict[str, str]) -> Dict[str, str]:
"""Function to scrape name and further details link from each row of whisky from every page on each url in a list of urls from master... | 0.721351 | 0.289557 |
import numpy as np
from .network import BooleanNetwork
class ECA(BooleanNetwork):
"""
ECA is a class to represent elementary cellular automaton rules. Each ECA
contains an 8-bit integral member variable ``code`` representing the
Wolfram code for the ECA rule and a set of boundary conditions which is
... | neet/boolean/eca.py | import numpy as np
from .network import BooleanNetwork
class ECA(BooleanNetwork):
"""
ECA is a class to represent elementary cellular automaton rules. Each ECA
contains an 8-bit integral member variable ``code`` representing the
Wolfram code for the ECA rule and a set of boundary conditions which is
... | 0.887507 | 0.517266 |
import torch
from objective.base import Objective
from utils import assert_true
class Ridge(Objective):
def _validate_inputs(self, w, x, y):
assert_true(w.dim() == 2,
"Input w should be 2D")
assert_true(w.size(1) == 1,
"Ridge regression can only perform reg... | optimization/prac1/objective/ridge.py | import torch
from objective.base import Objective
from utils import assert_true
class Ridge(Objective):
def _validate_inputs(self, w, x, y):
assert_true(w.dim() == 2,
"Input w should be 2D")
assert_true(w.size(1) == 1,
"Ridge regression can only perform reg... | 0.399343 | 0.704732 |
"""tasks.py: Django data_replication"""
import logging
from celery import shared_task
from .backends.base import ImproperlyConfiguredException
from .backends.mongo import MongoRequest
from .backends.splunk import SplunkRequest
__author__ = '<NAME>'
__date__ = '9/26/17 10:12'
__copyright__ = 'Copyright 2017 IC Manag... | data_replication/tasks.py | """tasks.py: Django data_replication"""
import logging
from celery import shared_task
from .backends.base import ImproperlyConfiguredException
from .backends.mongo import MongoRequest
from .backends.splunk import SplunkRequest
__author__ = '<NAME>'
__date__ = '9/26/17 10:12'
__copyright__ = 'Copyright 2017 IC Manag... | 0.468791 | 0.224459 |
[
{
'date': '2019-01-01',
'description': 'Újév',
'locale': 'hu-HU',
'notes': '',
'region': '',
'type': 'NF'
},
{
'date': '2019-03-15',
'description': 'Az 1848-as forradalom ünnepe',
'locale': 'hu-HU',
'notes': '',
'regio... | tests/snapshots/snap_test_holidata/test_holidata_produces_holidays_for_locale_and_year[hu_HU-2019] 1.py | [
{
'date': '2019-01-01',
'description': 'Újév',
'locale': 'hu-HU',
'notes': '',
'region': '',
'type': 'NF'
},
{
'date': '2019-03-15',
'description': 'Az 1848-as forradalom ünnepe',
'locale': 'hu-HU',
'notes': '',
'regio... | 0.352313 | 0.101456 |
import logging
class CommandBase:
'''
A base class providing functionality common to all commands.
'''
def __init__(self, context):
self._logger = logging.getLogger(__class__.__name__)
self._context = context
@property
def context(self):
'''
The command context... | tasks/commands/commandbase.py | import logging
class CommandBase:
'''
A base class providing functionality common to all commands.
'''
def __init__(self, context):
self._logger = logging.getLogger(__class__.__name__)
self._context = context
@property
def context(self):
'''
The command context... | 0.742515 | 0.121764 |
import math
import itertools
import numpy as np
from pytest import raises, approx
from pystrafe import motion
def test_strafe_K():
with raises(ZeroDivisionError):
motion.strafe_K(0, 0, 0, 0)
assert motion.strafe_K(30, 0.001, 320, 0) == 0.0
assert motion.strafe_K(30, 0.01, 320, 10) == approx(90000)
... | pystrafe/tests/test_motion.py | import math
import itertools
import numpy as np
from pytest import raises, approx
from pystrafe import motion
def test_strafe_K():
with raises(ZeroDivisionError):
motion.strafe_K(0, 0, 0, 0)
assert motion.strafe_K(30, 0.001, 320, 0) == 0.0
assert motion.strafe_K(30, 0.01, 320, 10) == approx(90000)
... | 0.653127 | 0.777975 |
from flask import Flask, render_template, request, jsonify
from goodreads_search import search_book, get_book_isbn
from review_parser import scrape_reviews
from youtube_search import get_video_ids
from pprint import pprint
from time import time
app = Flask(__name__)
@app.route("/")
def index():
return render_tem... | app.py | from flask import Flask, render_template, request, jsonify
from goodreads_search import search_book, get_book_isbn
from review_parser import scrape_reviews
from youtube_search import get_video_ids
from pprint import pprint
from time import time
app = Flask(__name__)
@app.route("/")
def index():
return render_tem... | 0.274157 | 0.124107 |
import asyncio
import logging
import multiprocessing
import os
import queue
from gabriel_protocol import gabriel_pb2
from gabriel_server import cognitive_engine
from gabriel_server.websocket_server import WebsocketServer
_NUM_BYTES_FOR_SIZE = 4
_BYTEORDER = 'big'
logger = logging.getLogger(__name__)
def run(engin... | src/gabriel_server/local_engine.py | import asyncio
import logging
import multiprocessing
import os
import queue
from gabriel_protocol import gabriel_pb2
from gabriel_server import cognitive_engine
from gabriel_server.websocket_server import WebsocketServer
_NUM_BYTES_FOR_SIZE = 4
_BYTEORDER = 'big'
logger = logging.getLogger(__name__)
def run(engin... | 0.390941 | 0.080647 |
from django.db import models
from .models import UserProfile, Comment
class Flagged(models.Model):
flagged_by = models.ForeignKey(UserProfile)
# offensive, violent/threat, against the rules, bullying
reason_description = models.CharField()
flag_count = models.IntegerField()
flagged_to_comment = mo... | flagged.py | from django.db import models
from .models import UserProfile, Comment
class Flagged(models.Model):
flagged_by = models.ForeignKey(UserProfile)
# offensive, violent/threat, against the rules, bullying
reason_description = models.CharField()
flag_count = models.IntegerField()
flagged_to_comment = mo... | 0.418222 | 0.145085 |
import torch
from torch.autograd import Variable
import numpy as np
from collections import defaultdict
from vocab import Vocab
import os
def read_corpus(file_path, pad_bos_eos=False):
data = []
for line in open(file_path):
sent = line.strip().split(' ')
# only append <s> and </s> to the target... | generation/hncm_dataloader.py | import torch
from torch.autograd import Variable
import numpy as np
from collections import defaultdict
from vocab import Vocab
import os
def read_corpus(file_path, pad_bos_eos=False):
data = []
for line in open(file_path):
sent = line.strip().split(' ')
# only append <s> and </s> to the target... | 0.490968 | 0.28354 |
import random
from datacenter.models import Chastisement
from datacenter.models import Commendation
from datacenter.models import Lesson
from datacenter.models import Mark
from datacenter.models import Schoolkid
def get_schoolkid_object(child_name):
child = Schoolkid.objects.get(full_name__contains=child_name)
... | scripts.py | import random
from datacenter.models import Chastisement
from datacenter.models import Commendation
from datacenter.models import Lesson
from datacenter.models import Mark
from datacenter.models import Schoolkid
def get_schoolkid_object(child_name):
child = Schoolkid.objects.get(full_name__contains=child_name)
... | 0.241042 | 0.173778 |
class GrowthContent:
introduction = (
"There are many ways to measure the growth of COVID-19 cases and "
"deaths in countries around the world. For example, one could simply "
"measure an increase in the absolute number of cases or deaths in a "
"country over a period of time. Measur... | global_covid_tracker/content/growth_content.py | class GrowthContent:
introduction = (
"There are many ways to measure the growth of COVID-19 cases and "
"deaths in countries around the world. For example, one could simply "
"measure an increase in the absolute number of cases or deaths in a "
"country over a period of time. Measur... | 0.720172 | 0.969179 |
import os
import ssl
import socketpool
import wifi
import golioth.golioth as Golioth
# Get wifi details and more from a secrets.py file
try:
from secrets import secrets
except ImportError:
print("WiFi secrets are kept in secrets.py, please add them there!")
raise
def connected(client):
print("Connec... | examples/native_networking/dfu/code.py | import os
import ssl
import socketpool
import wifi
import golioth.golioth as Golioth
# Get wifi details and more from a secrets.py file
try:
from secrets import secrets
except ImportError:
print("WiFi secrets are kept in secrets.py, please add them there!")
raise
def connected(client):
print("Connec... | 0.114752 | 0.052765 |
# Futures
from __future__ import absolute_import
# Built-in modules
import abc
# Third party modules
import six
# Own modules
from microprobe.exceptions import MicroprobeArchitectureDefinitionError
from microprobe.utils.imp import find_subclasses
from microprobe.utils.logger import get_logger
# Constants
LOG = get... | src/microprobe/target/isa/comparator.py | # Futures
from __future__ import absolute_import
# Built-in modules
import abc
# Third party modules
import six
# Own modules
from microprobe.exceptions import MicroprobeArchitectureDefinitionError
from microprobe.utils.imp import find_subclasses
from microprobe.utils.logger import get_logger
# Constants
LOG = get... | 0.723895 | 0.311728 |
import json
import logging
import os
import quopri
import re
import smtplib
import subprocess
import sys
import threading
from base64 import b64decode
from email import policy
from email.header import Header, decode_header
from email.mime.text import MIMEText
from email.parser import BytesParser, BytesHeaderParser
fr... | api.py |
import json
import logging
import os
import quopri
import re
import smtplib
import subprocess
import sys
import threading
from base64 import b64decode
from email import policy
from email.header import Header, decode_header
from email.mime.text import MIMEText
from email.parser import BytesParser, BytesHeaderParser
fr... | 0.232659 | 0.091544 |
import argparse
import os
import resource
import subprocess
import time
from urllib.parse import urljoin
from bs4 import BeautifulSoup as bs
from PyPDF2 import PdfFileReader, PdfFileWriter
import requests
# Use html5lib because html.parser makes a mess of malformed HTML
PARSER = 'html5lib'
def remove_wayback_header... | android_scraper_2018.py | import argparse
import os
import resource
import subprocess
import time
from urllib.parse import urljoin
from bs4 import BeautifulSoup as bs
from PyPDF2 import PdfFileReader, PdfFileWriter
import requests
# Use html5lib because html.parser makes a mess of malformed HTML
PARSER = 'html5lib'
def remove_wayback_header... | 0.449151 | 0.112137 |
from django.db import transaction
from rest_framework import status
from rest_framework.response import Response
from json_api.exceptions import MethodNotAllowed
class RetrieveRelationshipMixin(object):
def retrieve_relationship(self, request, pk, relname, *args, **kwargs):
rel = self.get_relationship(rel... | json_api/mixins/relationships.py | from django.db import transaction
from rest_framework import status
from rest_framework.response import Response
from json_api.exceptions import MethodNotAllowed
class RetrieveRelationshipMixin(object):
def retrieve_relationship(self, request, pk, relname, *args, **kwargs):
rel = self.get_relationship(rel... | 0.588416 | 0.089097 |
import gpu_util
import os
os.environ["CUDA_VISIBLE_DEVICES"] = str(gpu_util.pick_gpu_lowest_memory())
import matplotlib
matplotlib.use('Agg')
from matplotlib import pyplot
import sys
import skimage.measure
import numpy
import numpy as np
import skimage.io
from skimage.morphology import disk, dilation
import skimage.fea... | metric_evaluation.py | import gpu_util
import os
os.environ["CUDA_VISIBLE_DEVICES"] = str(gpu_util.pick_gpu_lowest_memory())
import matplotlib
matplotlib.use('Agg')
from matplotlib import pyplot
import sys
import skimage.measure
import numpy
import numpy as np
import skimage.io
from skimage.morphology import disk, dilation
import skimage.fea... | 0.201577 | 0.288663 |
import numpy as np
import tensorflow as tf
import bidirectional_autoencoder as bd
import data_utils as du
# 5719 total samples
# 5147 training samples
# 321 batches of size 16
# 10 epochs more or less
#STEPS = 3250
STEPS = 10000
#batch_size = bd.batch_size
starting_learning_rate = 1e-2
decay_rate = 5e-1
decay_... | Seq2Seq-gait-analysis/conv_classifier_eval.py | import numpy as np
import tensorflow as tf
import bidirectional_autoencoder as bd
import data_utils as du
# 5719 total samples
# 5147 training samples
# 321 batches of size 16
# 10 epochs more or less
#STEPS = 3250
STEPS = 10000
#batch_size = bd.batch_size
starting_learning_rate = 1e-2
decay_rate = 5e-1
decay_... | 0.601711 | 0.517937 |
from __future__ import absolute_import
from plaidcloud.rpc import utc
from six import text_type
__author__ = '<NAME>'
__maintainer__ = '<NAME> <<EMAIL>>'
__copyright__ = '© Copyright 2017, Tartan Solutions, Inc'
__license__ = 'Apache 2.0'
def user_auth(*args, **kwargs):
auth = Auth()
auth.user(*args, **kwar... | plaidcloud/rpc/remote/auth.py |
from __future__ import absolute_import
from plaidcloud.rpc import utc
from six import text_type
__author__ = '<NAME>'
__maintainer__ = '<NAME> <<EMAIL>>'
__copyright__ = '© Copyright 2017, Tartan Solutions, Inc'
__license__ = 'Apache 2.0'
def user_auth(*args, **kwargs):
auth = Auth()
auth.user(*args, **kwar... | 0.794624 | 0.075551 |
# In[4]:
import os
import numpy as np
import pickle
import quandl
import pandas as pd
import plotly.offline as py
import plotly.graph_objs as go
py.init_notebook_mode(connected=True)
# In[5]:
quandl.ApiConfig.api_key = 'tWWv7RoNKzyaxKKRnc8d'
# In[10]:
def get_quandl_data(quandl_code):
cache_path = '{}.pkl'... | Bitcoin Cryptocurrency Price Visualization.py |
# In[4]:
import os
import numpy as np
import pickle
import quandl
import pandas as pd
import plotly.offline as py
import plotly.graph_objs as go
py.init_notebook_mode(connected=True)
# In[5]:
quandl.ApiConfig.api_key = 'tWWv7RoNKzyaxKKRnc8d'
# In[10]:
def get_quandl_data(quandl_code):
cache_path = '{}.pkl'... | 0.392337 | 0.267617 |
import os
import fnmatch
import fileinput
import json
import re
import urllib.request
def getTestsCount():
testDir = "tests"
testFilePattern = r'test_a*.py'
count = 0
for file in fnmatch.filter(os.listdir(testDir), testFilePattern):
if file == 'test_a0000blank.py':
continue
testFile = os.path.j... | progress.py |
import os
import fnmatch
import fileinput
import json
import re
import urllib.request
def getTestsCount():
testDir = "tests"
testFilePattern = r'test_a*.py'
count = 0
for file in fnmatch.filter(os.listdir(testDir), testFilePattern):
if file == 'test_a0000blank.py':
continue
testFile = os.path.j... | 0.443118 | 0.113138 |
import uuid
from aiohttp import web
from aiohttp_session import get_session
from twython import Twython
from cursed.parrot import db
async def twitter_authorize(request):
app = request.app
auth = app['twitter'].get_authentication_tokens(
callback_url=app['settings']['twitter']['callback_url']
)
... | src/cursed/parrot/twitter.py | import uuid
from aiohttp import web
from aiohttp_session import get_session
from twython import Twython
from cursed.parrot import db
async def twitter_authorize(request):
app = request.app
auth = app['twitter'].get_authentication_tokens(
callback_url=app['settings']['twitter']['callback_url']
)
... | 0.264263 | 0.047404 |
from django.http import HttpResponseRedirect
from django.shortcuts import get_object_or_404, redirect, render
from django.contrib.auth.models import User
from django.views import View
from .models import BankAccount, Transaction
from .forms import BankAccountForm, RegistrationForm, TransactionForm
from django.core.pagi... | bank_account_app/bank_account/views.py | from django.http import HttpResponseRedirect
from django.shortcuts import get_object_or_404, redirect, render
from django.contrib.auth.models import User
from django.views import View
from .models import BankAccount, Transaction
from .forms import BankAccountForm, RegistrationForm, TransactionForm
from django.core.pagi... | 0.434221 | 0.076511 |
import argparse
from urdf_parser_py.urdf import URDF
import yaml
import sys
def findJointByName(robot, name):
for j in robot.joints:
if j.name == name:
return j
return None
def jointDiff(original, new):
"""
only take origin into account
"""
if hasattr(original, "origin"... | euscollada/scripts/urdf_patch.py | import argparse
from urdf_parser_py.urdf import URDF
import yaml
import sys
def findJointByName(robot, name):
for j in robot.joints:
if j.name == name:
return j
return None
def jointDiff(original, new):
"""
only take origin into account
"""
if hasattr(original, "origin"... | 0.26588 | 0.395659 |
from policies import TabularPolicy, DQNPolicy, IntentionPolicy, IntentionAblatedPolicy
from tabular_class import QTabularRLModel, MCTabularRLModel
from deep_class import DQNModel, IntentionModel, IntentionAblatedModel
import argparse
import numpy as np
import gym
from wrappers import DiscretizedObservationWrapper, Tax... | train_taxi.py | from policies import TabularPolicy, DQNPolicy, IntentionPolicy, IntentionAblatedPolicy
from tabular_class import QTabularRLModel, MCTabularRLModel
from deep_class import DQNModel, IntentionModel, IntentionAblatedModel
import argparse
import numpy as np
import gym
from wrappers import DiscretizedObservationWrapper, Tax... | 0.589362 | 0.262975 |
import unittest #importing the unittest module
from credential import Credential #importing the credential class
class TestCredential(unittest.TestCase):
'''
Test case defines test cases for the credential class behaivors
'''
def setUp(self):
'''
set up to run before each test case
... | credential_test.py | import unittest #importing the unittest module
from credential import Credential #importing the credential class
class TestCredential(unittest.TestCase):
'''
Test case defines test cases for the credential class behaivors
'''
def setUp(self):
'''
set up to run before each test case
... | 0.395951 | 0.374162 |
from matplotlib import collections
import json
import os
import copy
import torch
from torchvision import transforms
import numpy as np
from tqdm import tqdm
from random import sample
import torchaudio
import logging
import collections
from glob import glob
import sys
import albumentations
sys.path.insert(0, '.') # n... | specvqgan/data/greatesthit.py | from matplotlib import collections
import json
import os
import copy
import torch
from torchvision import transforms
import numpy as np
from tqdm import tqdm
from random import sample
import torchaudio
import logging
import collections
from glob import glob
import sys
import albumentations
sys.path.insert(0, '.') # n... | 0.475362 | 0.111241 |
import re
class classification:
#constructor is a single number or a range
def __init__(self, id):
self.id = id
#self.id = self.id.replace('O','0')
def is_sane(self):
sane = True
if not reduce(lambda a, b: a and b,
map(lambda c: c in '0123456789.', s... | pyddc.py | import re
class classification:
#constructor is a single number or a range
def __init__(self, id):
self.id = id
#self.id = self.id.replace('O','0')
def is_sane(self):
sane = True
if not reduce(lambda a, b: a and b,
map(lambda c: c in '0123456789.', s... | 0.372619 | 0.413892 |
import csv
import json
import xlrd
import argparse
"""
## Usage
python mic_lglist_to_json.py mic-lglist.xls -x
## Input
- 総務省トップ > 政策 > 地方行財政 > 電子自治体 > 全国地方公共団体コード
https://www.soumu.go.jp/denshijiti/code.html
- 都道府県コード及び市区町村コード」（令和元年5月1日現在）
curl -o mic-lglist.xls https://www.soumu.go.jp/main_content/0006181... | tools/mic_lglist_to_json.py | 団体コード 都道府県名 市町村名 | 0.181336 | 0.457682 |
from django.shortcuts import render, Http404, get_object_or_404, redirect
from django.core.paginator import Paginator, EmptyPage, PageNotAnInteger
from django.http import HttpResponseRedirect
from django.views import View
from django.contrib.auth.models import User
from .forms import CommentForm
from .models impo... | louis/webdev/myblog/blog/views.py | from django.shortcuts import render, Http404, get_object_or_404, redirect
from django.core.paginator import Paginator, EmptyPage, PageNotAnInteger
from django.http import HttpResponseRedirect
from django.views import View
from django.contrib.auth.models import User
from .forms import CommentForm
from .models impo... | 0.440951 | 0.062445 |
import os
from abc import ABC
from enum import Enum
from typing import List
from xtermcolor import colorize
class Score(Enum):
BLANK = 0
INCORRECT = 1
INCORRECT_POSITION = 2
CORRECT = 3
class Renderer(ABC):
"""
Abstract class that contains rendering logic.
Subclass this to a concrete cl... | renderer.py | import os
from abc import ABC
from enum import Enum
from typing import List
from xtermcolor import colorize
class Score(Enum):
BLANK = 0
INCORRECT = 1
INCORRECT_POSITION = 2
CORRECT = 3
class Renderer(ABC):
"""
Abstract class that contains rendering logic.
Subclass this to a concrete cl... | 0.775435 | 0.290981 |
from __future__ import absolute_import
from datetime import date, datetime # noqa: F401
from typing import List, Dict # noqa: F401
from openapi_server.models.base_model_ import Model
from openapi_server import util
class UserCreateRequest(Model):
"""NOTE: This class is auto generated by OpenAPI Generator (ht... | apps/api/openapi_server/models/user_create_request.py |
from __future__ import absolute_import
from datetime import date, datetime # noqa: F401
from typing import List, Dict # noqa: F401
from openapi_server.models.base_model_ import Model
from openapi_server import util
class UserCreateRequest(Model):
"""NOTE: This class is auto generated by OpenAPI Generator (ht... | 0.755457 | 0.068444 |
import numpy as np
import matplotlib.pyplot as plt
import random
import detector as dct
class Particle:
def __init__(self,id,pos,mu,energy):
self.id = id
self.__x = pos[0]
self.__y = pos[1]
self.__z = pos[2]
self.__mu_x = mu[0]
self.__mu_y = mu[1]
self._... | src/particle.py | import numpy as np
import matplotlib.pyplot as plt
import random
import detector as dct
class Particle:
def __init__(self,id,pos,mu,energy):
self.id = id
self.__x = pos[0]
self.__y = pos[1]
self.__z = pos[2]
self.__mu_x = mu[0]
self.__mu_y = mu[1]
self._... | 0.644449 | 0.431165 |
import logging
import typing
import uuid
from forml import flow, io, project
from forml.conf.parsed import provider as provcfg
from forml.io import dsl, layout
from forml.runtime import facility
from forml.testing import _spec
LOGGER = logging.getLogger(__name__)
class DataSet(dsl.Schema):
"""Testing schema.
... | forml/testing/_facility.py | import logging
import typing
import uuid
from forml import flow, io, project
from forml.conf.parsed import provider as provcfg
from forml.io import dsl, layout
from forml.runtime import facility
from forml.testing import _spec
LOGGER = logging.getLogger(__name__)
class DataSet(dsl.Schema):
"""Testing schema.
... | 0.863521 | 0.414425 |
# Cookie
import requests
import pandas as pd
from bs4 import BeautifulSoup
headers = {
'User-Agent':'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/88.0.4324.182 Safari/537.36',
'Cookie':'JSESSIONID=68E5E9087DD3404B3502CD3077A8CDB4',
}
url = 'http://172.16.17.32... | main.py |
# Cookie
import requests
import pandas as pd
from bs4 import BeautifulSoup
headers = {
'User-Agent':'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/88.0.4324.182 Safari/537.36',
'Cookie':'JSESSIONID=68E5E9087DD3404B3502CD3077A8CDB4',
}
url = 'http://172.16.17.32... | 0.053169 | 0.285364 |
import numpy as np
import cv2
#MEAN_STD = [[0.29010095242892997, 0.32808144844279574, 0.28696394422942517], [0.1829540508368939, 0.18656561047509476, 0.18447508988480435]]
MEAN_STD = np.array([[0.5, 0.5, 0.5], [1, 1, 1]], dtype=np.float32)
MAX_DEPTH = 10
## Global color mapping
class ColorPalette:
def __init__(se... | pytorch/utils.py | import numpy as np
import cv2
#MEAN_STD = [[0.29010095242892997, 0.32808144844279574, 0.28696394422942517], [0.1829540508368939, 0.18656561047509476, 0.18447508988480435]]
MEAN_STD = np.array([[0.5, 0.5, 0.5], [1, 1, 1]], dtype=np.float32)
MAX_DEPTH = 10
## Global color mapping
class ColorPalette:
def __init__(se... | 0.510496 | 0.382545 |
import asyncio
import unittest
from collections import deque
from typing import List, Optional
from unittest.mock import ANY, MagicMock, Mock
import asynctest # type: ignore
from hathorlib.client import BlockTemplate, HathorClient
import txstratum.time
from txstratum.jobs import JobStatus, TxJob
from txstratum.manag... | tests/test_manager.py | import asyncio
import unittest
from collections import deque
from typing import List, Optional
from unittest.mock import ANY, MagicMock, Mock
import asynctest # type: ignore
from hathorlib.client import BlockTemplate, HathorClient
import txstratum.time
from txstratum.jobs import JobStatus, TxJob
from txstratum.manag... | 0.620047 | 0.191895 |
import logging
import socket
import urllib.request
from urllib.error import HTTPError, URLError
from urllib.parse import urlparse, parse_qs
from bs4 import BeautifulSoup
from django.utils.translation import gettext
from pypeach_django.app_config import AppConfig
"""
Scrapy関連の共通処理を定義する
"""
class ScrapyHelper:
... | backend/chart/application/helper/scrapy.py | import logging
import socket
import urllib.request
from urllib.error import HTTPError, URLError
from urllib.parse import urlparse, parse_qs
from bs4 import BeautifulSoup
from django.utils.translation import gettext
from pypeach_django.app_config import AppConfig
"""
Scrapy関連の共通処理を定義する
"""
class ScrapyHelper:
... | 0.226527 | 0.058373 |
from __future__ import absolute_import
from tests import util
_EXPECT_NAME = 'publishing.withsphinx'
_EXPECT_VERSION = '0.0.1'
_EXPECT_DATE = '2016-10-11'
_EXPECT_AUTHOR = '<NAME>'
_EXPECT_AUTHOR_EMAIL = '<EMAIL>'
_EXPECT_SPHINX_EXTENSION_METADATA = {
'version': _EXPECT_VERSION,
'parallel_read_safe': True,... | tests/unit/test_meta_data.py | from __future__ import absolute_import
from tests import util
_EXPECT_NAME = 'publishing.withsphinx'
_EXPECT_VERSION = '0.0.1'
_EXPECT_DATE = '2016-10-11'
_EXPECT_AUTHOR = '<NAME>'
_EXPECT_AUTHOR_EMAIL = '<EMAIL>'
_EXPECT_SPHINX_EXTENSION_METADATA = {
'version': _EXPECT_VERSION,
'parallel_read_safe': True,... | 0.609757 | 0.377369 |
from django.http.response import Http404, HttpResponse, HttpResponseRedirect, JsonResponse
from django.shortcuts import render
from django.contrib.auth.decorators import login_required
from django.urls import reverse
from rest_framework.parsers import JSONParser
from rest_framework.decorators import api_view
from dja... | smart_cctv/users/views.py | from django.http.response import Http404, HttpResponse, HttpResponseRedirect, JsonResponse
from django.shortcuts import render
from django.contrib.auth.decorators import login_required
from django.urls import reverse
from rest_framework.parsers import JSONParser
from rest_framework.decorators import api_view
from dja... | 0.427277 | 0.05526 |
from nltk.corpus import wordnet as wn
from nltk.corpus import stopwords
from nltk.tokenize import word_tokenize
from nltk.stem.wordnet import WordNetLemmatizer
import nltk
def get_words_with_all_langs(synset_id):
langs = sorted(wn.langs())
list_lang = []
list_useful_lang=[]
for lang in langs:
i... | src/semantickit/lang/wordnet.py | from nltk.corpus import wordnet as wn
from nltk.corpus import stopwords
from nltk.tokenize import word_tokenize
from nltk.stem.wordnet import WordNetLemmatizer
import nltk
def get_words_with_all_langs(synset_id):
langs = sorted(wn.langs())
list_lang = []
list_useful_lang=[]
for lang in langs:
i... | 0.084429 | 0.054024 |
from autoarray import decorator_util
import numpy as np
from astropy.io import fits
import os
@decorator_util.jit()
def data_vector_from_blurred_mapping_matrix_and_data(
blurred_mapping_matrix, image, noise_map
):
"""Compute the hyper_galaxies vector *D* from a blurred util matrix *f* and the 1D image *d* and... | autoarray/util/inversion_util.py | from autoarray import decorator_util
import numpy as np
from astropy.io import fits
import os
@decorator_util.jit()
def data_vector_from_blurred_mapping_matrix_and_data(
blurred_mapping_matrix, image, noise_map
):
"""Compute the hyper_galaxies vector *D* from a blurred util matrix *f* and the 1D image *d* and... | 0.921935 | 0.857112 |
import json
import threading
from socket import gethostname
from typing import Any, Dict, List, Tuple, Sequence
from http.server import HTTPServer
from prometheus_client.exposition import MetricsHandler
from . import app_settings
from .types import QueueName, WorkerNumber
def get_config_response(
worker_queue_a... | django_lightweight_queue/exposition.py | import json
import threading
from socket import gethostname
from typing import Any, Dict, List, Tuple, Sequence
from http.server import HTTPServer
from prometheus_client.exposition import MetricsHandler
from . import app_settings
from .types import QueueName, WorkerNumber
def get_config_response(
worker_queue_a... | 0.66454 | 0.143998 |
import numpy as np
from distpy import sequence_types
try:
# this runs with no issues in python 2 but raises error in python 3
basestring
except:
# this try/except allows for python 2/3 compatible string type checking
basestring = str
class VariableGrid(object):
"""
Class representing an object ... | pylinex/util/VariableGrid.py | import numpy as np
from distpy import sequence_types
try:
# this runs with no issues in python 2 but raises error in python 3
basestring
except:
# this try/except allows for python 2/3 compatible string type checking
basestring = str
class VariableGrid(object):
"""
Class representing an object ... | 0.786787 | 0.607227 |
import threading
class MessageMetrics:
def __init__(self):
""" """
self.byte_sum = 0
self.message_count = 0
self.message_handle_time = 0
def increment_message_count(self, message_size, time_taken):
self.message_count += 1
self.byte_sum += message_size
s... | ros2relay/metrics/metrics.py | import threading
class MessageMetrics:
def __init__(self):
""" """
self.byte_sum = 0
self.message_count = 0
self.message_handle_time = 0
def increment_message_count(self, message_size, time_taken):
self.message_count += 1
self.byte_sum += message_size
s... | 0.659953 | 0.198064 |
import os,json
from .block_functions import *
report_known_blocks = False
report_unknown_blocks = True
unknown_as_air = False
converted_blocks = {}
mods_available = {}
mods_priority = []
mods_enabled = {}
def str_mod(name):
author = mods_available[name]['author']
download = mods_available[name]['download']
... | mc2mtlib/block_conversion.py | import os,json
from .block_functions import *
report_known_blocks = False
report_unknown_blocks = True
unknown_as_air = False
converted_blocks = {}
mods_available = {}
mods_priority = []
mods_enabled = {}
def str_mod(name):
author = mods_available[name]['author']
download = mods_available[name]['download']
... | 0.158077 | 0.111773 |
import requests
from django.shortcuts import render
# ****************************** GET ********************************
# get the list of all events of a client
def getEvents(request):
clientId = request.user
url = 'https://hzmEndpoint.ch/events/'
# https://hzmplaceholder.ch/events/<clientId>/
res... | app/services.py | import requests
from django.shortcuts import render
# ****************************** GET ********************************
# get the list of all events of a client
def getEvents(request):
clientId = request.user
url = 'https://hzmEndpoint.ch/events/'
# https://hzmplaceholder.ch/events/<clientId>/
res... | 0.393735 | 0.133021 |
from datetime import datetime
from io import BytesIO
import json
import os
from unittest import TestCase
from unittest.mock import ANY, patch
import boto3
from botocore import UNSIGNED
from botocore.client import Config
from botocore.stub import Stubber
import responses
from .. import index
class MockContext():
... | lambdas/es/indexer/test/test_index.py | from datetime import datetime
from io import BytesIO
import json
import os
from unittest import TestCase
from unittest.mock import ANY, patch
import boto3
from botocore import UNSIGNED
from botocore.client import Config
from botocore.stub import Stubber
import responses
from .. import index
class MockContext():
... | 0.61659 | 0.260895 |
from enum import Enum
import random
from tokenize import String
import strings as Strings
import spotipy
from spotipy.oauth2 import SpotifyClientCredentials
import config as Config
import strings as Strings
from youtube_search import YoutubeSearch
import json
import discord
def playType(message):
url = message.re... | BotUtils.py | from enum import Enum
import random
from tokenize import String
import strings as Strings
import spotipy
from spotipy.oauth2 import SpotifyClientCredentials
import config as Config
import strings as Strings
from youtube_search import YoutubeSearch
import json
import discord
def playType(message):
url = message.re... | 0.34798 | 0.064772 |
import re
import time
import json
from tqdm import tqdm
import requests
from bs4 import BeautifulSoup
import img2pdf
class Bookq():
URL = 'https://bookq.s.kyushu-u.ac.jp'
def __init__(self):
self._session = None
def login(self, secrets_file :str='secrets.json'):
"""Log in to BookQ.
... | bookq2pdf.py | import re
import time
import json
from tqdm import tqdm
import requests
from bs4 import BeautifulSoup
import img2pdf
class Bookq():
URL = 'https://bookq.s.kyushu-u.ac.jp'
def __init__(self):
self._session = None
def login(self, secrets_file :str='secrets.json'):
"""Log in to BookQ.
... | 0.592313 | 0.12943 |
OctetString, Integer, ObjectIdentifier = mibBuilder.importSymbols("ASN1", "OctetString", "Integer", "ObjectIdentifier")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
SingleValueConstraint, ConstraintsIntersection, ConstraintsUnion, ValueSizeConstraint, ValueRangeConstraint = mibBuilder.impo... | pysnmp/GNOME-PRODUCT-ZEBRA-MIB.py | OctetString, Integer, ObjectIdentifier = mibBuilder.importSymbols("ASN1", "OctetString", "Integer", "ObjectIdentifier")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
SingleValueConstraint, ConstraintsIntersection, ConstraintsUnion, ValueSizeConstraint, ValueRangeConstraint = mibBuilder.impo... | 0.358915 | 0.107017 |
class Character:
"""
Represents a Character with it's aliases and alternative spellings during the books
"""
def __init__(self, ref_name: str, alt_names: list):
"""
:param ref_name: reference name of the Character (displayed in figures, for example)
:param alt_names: list of alt... | src/object/Character.py | class Character:
"""
Represents a Character with it's aliases and alternative spellings during the books
"""
def __init__(self, ref_name: str, alt_names: list):
"""
:param ref_name: reference name of the Character (displayed in figures, for example)
:param alt_names: list of alt... | 0.85186 | 0.700914 |
from google.colab import drive
drive.mount('/content/gdrive/')
import os
import datetime
import random
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
import tensorflow as tf
import tensorflow.python.keras.backend as K
from tensorflow.python.... | results/SimpleLast/main2_LinearReg.py | from google.colab import drive
drive.mount('/content/gdrive/')
import os
import datetime
import random
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
import tensorflow as tf
import tensorflow.python.keras.backend as K
from tensorflow.python.... | 0.693265 | 0.29022 |
import ConfigSpace
def get_hyperparameter_search_space_small(seed):
"""
Small version of svm config space, featuring important hyperparameters
based on https://arxiv.org/abs/1710.04725
Parameters
----------
seed: int
Random seed that will be used to sample random configurations
R... | openmldefaults/config_spaces/svc.py | import ConfigSpace
def get_hyperparameter_search_space_small(seed):
"""
Small version of svm config space, featuring important hyperparameters
based on https://arxiv.org/abs/1710.04725
Parameters
----------
seed: int
Random seed that will be used to sample random configurations
R... | 0.870556 | 0.382891 |
import pkg_resources
import unittest
import pyface.toolkit
class TestToolkit(unittest.TestCase):
def test_missing_import(self):
# test that we get an undefined object if no toolkit implementation
cls = pyface.toolkit.toolkit_object('tests:Missing')
with self.assertRaises(NotImplementedEr... | Latest/venv/Lib/site-packages/pyface/tests/test_toolkit.py | import pkg_resources
import unittest
import pyface.toolkit
class TestToolkit(unittest.TestCase):
def test_missing_import(self):
# test that we get an undefined object if no toolkit implementation
cls = pyface.toolkit.toolkit_object('tests:Missing')
with self.assertRaises(NotImplementedEr... | 0.433022 | 0.390883 |
from zeep import Client
c = Client('http://localhost:8000?wsdl')
def get_header():
return c.get_type('ns0:Header')(
Message_Type='mt',
Company_ID='ci',
Version='v',
Source='s',
Destination='d',
Action_Type='read',
Sequence_Number='1',
Batch_ID='bi',... | util/client.py | from zeep import Client
c = Client('http://localhost:8000?wsdl')
def get_header():
return c.get_type('ns0:Header')(
Message_Type='mt',
Company_ID='ci',
Version='v',
Source='s',
Destination='d',
Action_Type='read',
Sequence_Number='1',
Batch_ID='bi',... | 0.493897 | 0.089137 |
from typing import List
import numpy
from mlxtk import dvr
from mlxtk.log import get_logger
from mlxtk.parameters import Parameters
from mlxtk.tasks import MBOperatorSpecification, OperatorSpecification
class BoseHubbard:
def __init__(self, parameters: Parameters):
self.parameters = parameters
s... | mlxtk/systems/single_species/bose_hubbard.py | from typing import List
import numpy
from mlxtk import dvr
from mlxtk.log import get_logger
from mlxtk.parameters import Parameters
from mlxtk.tasks import MBOperatorSpecification, OperatorSpecification
class BoseHubbard:
def __init__(self, parameters: Parameters):
self.parameters = parameters
s... | 0.853776 | 0.55266 |
import importlib
import inspect
import pkgutil
import sys
def package_classes(package):
"""Get a list of classes in a package.
Return a list of qualified names of classes in the specified package. Classes in modules
with names beginning with an "_" are omitted, as are classes whose internal module name
... | docs/source/docutil.py | import importlib
import inspect
import pkgutil
import sys
def package_classes(package):
"""Get a list of classes in a package.
Return a list of qualified names of classes in the specified package. Classes in modules
with names beginning with an "_" are omitted, as are classes whose internal module name
... | 0.521959 | 0.328583 |
import trace
import os
import subprocess
import tempfile
import unittest
import shlex
import libutil
class TraceTest(unittest.TestCase):
def setUp(self):
# create a directory hierarchy to do tests in
self.test_data_dir = os.path.realpath(os.path.join(tempfile.gettempdir(), 'trace_test'))
if os.path.exist... | src/trace_test.py | import trace
import os
import subprocess
import tempfile
import unittest
import shlex
import libutil
class TraceTest(unittest.TestCase):
def setUp(self):
# create a directory hierarchy to do tests in
self.test_data_dir = os.path.realpath(os.path.join(tempfile.gettempdir(), 'trace_test'))
if os.path.exist... | 0.22414 | 0.33269 |
import random
from scapy.all import *
import threading
import socket
import sys
from urllib.parse import urlparse
import colors
import time
class DDoS(object):
def __init__(self, url, ip, start_port, end_port, dport, threads,
interval):
if url is not None and ip is not None:
... | src/lib/attacks/ddos/ddos.py |
import random
from scapy.all import *
import threading
import socket
import sys
from urllib.parse import urlparse
import colors
import time
class DDoS(object):
def __init__(self, url, ip, start_port, end_port, dport, threads,
interval):
if url is not None and ip is not None:
... | 0.322633 | 0.09187 |
import re
from oslo.config import cfg
from marconi.openstack.common.gettextutils import _
MIN_MESSAGE_TTL = 60
MIN_CLAIM_TTL = 60
MIN_CLAIM_GRACE = 60
_TRANSPORT_LIMITS_OPTIONS = (
cfg.IntOpt('max_queues_per_page', default=20,
deprecated_name='queue_paging_uplimit',
deprecated_gr... | marconi/queues/transport/validation.py |
import re
from oslo.config import cfg
from marconi.openstack.common.gettextutils import _
MIN_MESSAGE_TTL = 60
MIN_CLAIM_TTL = 60
MIN_CLAIM_GRACE = 60
_TRANSPORT_LIMITS_OPTIONS = (
cfg.IntOpt('max_queues_per_page', default=20,
deprecated_name='queue_paging_uplimit',
deprecated_gr... | 0.677794 | 0.096408 |
import plotly.graph_objects as go # plots
import pandas
import os
import locale
locale.setlocale(locale.LC_ALL, 'de_DE')
os.system("python plot_barchart.py")
confirmed_df = pandas.read_csv("data/time_series/time_series_covid-19_nrw_confirmed.csv")
recovered_df = pandas.read_csv("data/time_series/time_series_covid-1... | plot_data.py | import plotly.graph_objects as go # plots
import pandas
import os
import locale
locale.setlocale(locale.LC_ALL, 'de_DE')
os.system("python plot_barchart.py")
confirmed_df = pandas.read_csv("data/time_series/time_series_covid-19_nrw_confirmed.csv")
recovered_df = pandas.read_csv("data/time_series/time_series_covid-1... | 0.376165 | 0.189465 |
from Grafo import Grafo, Vertice, Aresta
import random
import pandas as pd
import numpy as np
from copy import deepcopy, copy
from Busca import Busca
# Criando o grafo e arestas
file = pd.read_csv(
"entrada8.txt", skiprows=1, delimiter='\t', header=None).applymap(str)
# matrixSize = int(file.readline(1).strip())
... | Main.py | from Grafo import Grafo, Vertice, Aresta
import random
import pandas as pd
import numpy as np
from copy import deepcopy, copy
from Busca import Busca
# Criando o grafo e arestas
file = pd.read_csv(
"entrada8.txt", skiprows=1, delimiter='\t', header=None).applymap(str)
# matrixSize = int(file.readline(1).strip())
... | 0.175044 | 0.339472 |
# In[13]:
import helper
import numpy as np
from distutils.version import LooseVersion
import warnings
import tensorflow as tf
from tensorflow.contrib import seq2seq
# In[14]:
int_text, vocab_to_int, int_to_vocab, token_dict = helper.load_preprocess()
# 建立NN网络
# In[15]:
# Check TensorFlow Version
assert ... | generation_train_and_save.py |
# In[13]:
import helper
import numpy as np
from distutils.version import LooseVersion
import warnings
import tensorflow as tf
from tensorflow.contrib import seq2seq
# In[14]:
int_text, vocab_to_int, int_to_vocab, token_dict = helper.load_preprocess()
# 建立NN网络
# In[15]:
# Check TensorFlow Version
assert ... | 0.571169 | 0.442757 |
from os import path
from bes.common.check import check
from bes.common.object_util import object_util
from bes.fs.file_check import file_check
from bes.fs.file_find import file_find
from bes.git.git import git
class cli_helper(object):
'A class to help implement cli tools'
@classmethod
def resolve_files(clazz... | lib/bes/cli/cli_helper.py |
from os import path
from bes.common.check import check
from bes.common.object_util import object_util
from bes.fs.file_check import file_check
from bes.fs.file_find import file_find
from bes.git.git import git
class cli_helper(object):
'A class to help implement cli tools'
@classmethod
def resolve_files(clazz... | 0.479747 | 0.117648 |
import logging
import pytest
from test_app.models import Auth0User
from tests.utils.auth0 import (
create_auth0_users_and_confirm,
delete_all_auth0_users as delete_all_auth0_users_via_api,
delete_all_auth0_users_with_confirmation,
pause_and_confirm_total_auth0_users,
)
logger = logging.getLogger(__n... | tests/fixtures/auth0.py | import logging
import pytest
from test_app.models import Auth0User
from tests.utils.auth0 import (
create_auth0_users_and_confirm,
delete_all_auth0_users as delete_all_auth0_users_via_api,
delete_all_auth0_users_with_confirmation,
pause_and_confirm_total_auth0_users,
)
logger = logging.getLogger(__n... | 0.235724 | 0.263629 |
import uuid
import hashlib
import base64
from urllib.parse import quote_plus
import fgourl
import mytime
class ParameterBuilder:
def __init__(self, uid: str, auth_key: str, secret_key: str):
self.uid_ = uid
self.auth_key_ = auth_key
self.secret_key_ = secret_key
self.content_ = ''
... | user.py | import uuid
import hashlib
import base64
from urllib.parse import quote_plus
import fgourl
import mytime
class ParameterBuilder:
def __init__(self, uid: str, auth_key: str, secret_key: str):
self.uid_ = uid
self.auth_key_ = auth_key
self.secret_key_ = secret_key
self.content_ = ''
... | 0.26569 | 0.107601 |
import os, sys
for i in range(10):
if sys.platform[:3] == 'win':
pypath = sys.executable
os.spawnv(os.P_NOWAIT, pypath, ('python', 'child.py', str(i)))
else:
pid = os.fork()
if pid != 0:
print('Process %d spawned' % pid)
else:
os.execlp('python', ... | chapter_5/spawnv.py | import os, sys
for i in range(10):
if sys.platform[:3] == 'win':
pypath = sys.executable
os.spawnv(os.P_NOWAIT, pypath, ('python', 'child.py', str(i)))
else:
pid = os.fork()
if pid != 0:
print('Process %d spawned' % pid)
else:
os.execlp('python', ... | 0.149438 | 0.308099 |
import torch
import numpy as np
from utils.block_diag_matrix import block_diag_irregular
from scipy.spatial import distance_matrix
def compute_adjs(args, seq_start_end):
adj_out = []
for _, (start, end) in enumerate(seq_start_end):
mat = []
for t in range(0, args.obs_len + args.pred_len):
... | utils/adj_matrix.py | import torch
import numpy as np
from utils.block_diag_matrix import block_diag_irregular
from scipy.spatial import distance_matrix
def compute_adjs(args, seq_start_end):
adj_out = []
for _, (start, end) in enumerate(seq_start_end):
mat = []
for t in range(0, args.obs_len + args.pred_len):
... | 0.560734 | 0.4575 |
from SPARQLTransformer import sparqlTransformer
from .lemma import Lemma
SKOS = 'http://www.w3.org/2004/02/skos/core#'
class Vocabulary:
list = {}
@classmethod
def createVocabulary(cls, name, trunkNamespace, namespaces, prop, lang):
Vocabulary.add(name, Vocabulary(name, trunkNamespace, namespace... | populate/entities/vocabularies/vocabulary.py | from SPARQLTransformer import sparqlTransformer
from .lemma import Lemma
SKOS = 'http://www.w3.org/2004/02/skos/core#'
class Vocabulary:
list = {}
@classmethod
def createVocabulary(cls, name, trunkNamespace, namespaces, prop, lang):
Vocabulary.add(name, Vocabulary(name, trunkNamespace, namespace... | 0.702122 | 0.205117 |
import requests
from lxml import etree
import json
class Qiushi(object):
def __init__(self):
self.url = 'https://www.qiushibaike.com/8hr/page/{}/'
self.url_list = None
self.headers = {
'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome... | day05/qiushibaike.py | import requests
from lxml import etree
import json
class Qiushi(object):
def __init__(self):
self.url = 'https://www.qiushibaike.com/8hr/page/{}/'
self.url_list = None
self.headers = {
'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome... | 0.079642 | 0.133641 |
import json
import subprocess
from . import collectors
class CompletedProcessMock:
def __init__(self, stdout='', stderr=''):
self.stdout = stdout
self.stderr = stderr
blame_text = """\
aacd7f517fb0312ec73f882a345d50c6e8512405 1 1 1
author <NAME>
...
filename file.txt
line one
4cbb5a68de251bf42e... | gitstats/test_collectors.py | import json
import subprocess
from . import collectors
class CompletedProcessMock:
def __init__(self, stdout='', stderr=''):
self.stdout = stdout
self.stderr = stderr
blame_text = """\
aacd7f517fb0312ec73f882a345d50c6e8512405 1 1 1
author <NAME>
...
filename file.txt
line one
4cbb5a68de251bf42e... | 0.40028 | 0.225204 |
from oci.util import formatted_flat_dict, NONE_SENTINEL, value_allowed_none_or_none_sentinel # noqa: F401
from oci.decorators import init_model_state_from_kwargs
@init_model_state_from_kwargs
class CreateStreamDetails(object):
"""
Object used to create a stream.
"""
def __init__(self, **kwargs):
... | src/oci/streaming/models/create_stream_details.py |
from oci.util import formatted_flat_dict, NONE_SENTINEL, value_allowed_none_or_none_sentinel # noqa: F401
from oci.decorators import init_model_state_from_kwargs
@init_model_state_from_kwargs
class CreateStreamDetails(object):
"""
Object used to create a stream.
"""
def __init__(self, **kwargs):
... | 0.838018 | 0.318167 |
from sparts.sparts import option
from sparts.vtask import ExecuteContext, VTask
from sparts.tests.base import BaseSpartsTestCase, SingleTaskTestCase
class ExecuteContextTests(BaseSpartsTestCase):
def test_comparisons(self):
self.assertEqual(ExecuteContext(), ExecuteContext())
self.assertEqual(Execu... | tests/test_vtask.py | from sparts.sparts import option
from sparts.vtask import ExecuteContext, VTask
from sparts.tests.base import BaseSpartsTestCase, SingleTaskTestCase
class ExecuteContextTests(BaseSpartsTestCase):
def test_comparisons(self):
self.assertEqual(ExecuteContext(), ExecuteContext())
self.assertEqual(Execu... | 0.630002 | 0.213787 |
import json
from datetime import datetime
from typing import Callable, Optional
import logging
from fastapi import Request, Response
from fastapi.routing import APIRoute
def reformat_body(body: bin, obfuscate: bool = False):
"""
Decodes the binary body into something more useful for logging.
- body - the... | starlette_logging_request_body/router.py | import json
from datetime import datetime
from typing import Callable, Optional
import logging
from fastapi import Request, Response
from fastapi.routing import APIRoute
def reformat_body(body: bin, obfuscate: bool = False):
"""
Decodes the binary body into something more useful for logging.
- body - the... | 0.759315 | 0.211417 |
from unittest import TestCase
from scoville.signal import GenericSignal, DelayedSignal
INPUT_RESISTANCE = 10
LOW = 0.0
HIGH = 5.0
MAX_CURRENT = 0.01
MAX_LOW_VOLTAGE = 0.5
MIN_HIGH_VOLTAGE = 4.5
class AndUnitTests(TestCase):
def testLowLowShouldResultInLow(self):
circuit = self.getCircuit()
circuit.setSi... | test/unitTests/test_AND.py | from unittest import TestCase
from scoville.signal import GenericSignal, DelayedSignal
INPUT_RESISTANCE = 10
LOW = 0.0
HIGH = 5.0
MAX_CURRENT = 0.01
MAX_LOW_VOLTAGE = 0.5
MIN_HIGH_VOLTAGE = 4.5
class AndUnitTests(TestCase):
def testLowLowShouldResultInLow(self):
circuit = self.getCircuit()
circuit.setSi... | 0.760028 | 0.621254 |
import logging
from smart_home.mqtt_client import MQTTClient
from smart_home.utils_lambda import get_utc_timestamp, error_response, success_response, get_payload, get_request_message_id, get_mqtt_topics_from_request,\
get_friendly_name_from_request
class PercentageController(object):
@staticmethod
def h... | smart_home/percentage_controller.py | import logging
from smart_home.mqtt_client import MQTTClient
from smart_home.utils_lambda import get_utc_timestamp, error_response, success_response, get_payload, get_request_message_id, get_mqtt_topics_from_request,\
get_friendly_name_from_request
class PercentageController(object):
@staticmethod
def h... | 0.610802 | 0.122078 |
from odoo import _, api, fields, models
from odoo.exceptions import ValidationError
class ReturnPicking(models.TransientModel):
_inherit = 'stock.return.picking'
create_rma = fields.Boolean(
string="Create RMAs"
)
picking_type_code = fields.Selection(
selection=[
('incomi... | rma/setup/rma/odoo/addons/rma/wizard/stock_picking_return.py |
from odoo import _, api, fields, models
from odoo.exceptions import ValidationError
class ReturnPicking(models.TransientModel):
_inherit = 'stock.return.picking'
create_rma = fields.Boolean(
string="Create RMAs"
)
picking_type_code = fields.Selection(
selection=[
('incomi... | 0.539954 | 0.132739 |
from GAML.functions import file_size_check, file_gen_new
from GAML.file_gen_gromacstop import File_gen_gromacstop
from GAML.charge_gen_scheme import Charge_gen_scheme
import os
import shutil
from pkg_resources import resource_string
class GAML_autotrain(object):
def __init__(self,*args,**kwargs):
if 'fi... | GAML/gaml_autotrain.py | from GAML.functions import file_size_check, file_gen_new
from GAML.file_gen_gromacstop import File_gen_gromacstop
from GAML.charge_gen_scheme import Charge_gen_scheme
import os
import shutil
from pkg_resources import resource_string
class GAML_autotrain(object):
def __init__(self,*args,**kwargs):
if 'fi... | 0.164215 | 0.076857 |
from unittest import TestCase
from unittest.mock import MagicMock, patch
from napps.kytos.storehouse.backends.etcd import (Etcd, join_fullname,
split_fullname)
from napps.kytos.storehouse.main import Box
# pylint: disable=protected-access, unused-argument, no-member
... | tests/unit/test_etcd.py | from unittest import TestCase
from unittest.mock import MagicMock, patch
from napps.kytos.storehouse.backends.etcd import (Etcd, join_fullname,
split_fullname)
from napps.kytos.storehouse.main import Box
# pylint: disable=protected-access, unused-argument, no-member
... | 0.81538 | 0.352397 |