code stringlengths 2k 1.04M | repo_path stringlengths 5 517 | parsed_code stringlengths 0 1.04M | quality_prob float64 0.02 0.95 | learning_prob float64 0.02 0.93 |
|---|---|---|---|---|
import math
import csv
import os
import sys
from collections import defaultdict
from stemming.porter2 import stem
from search import STOPWORDS
SIM_THRESHOLD = .1
MIN_DOCUMENT_LENGTH = 3
class Document():
def tokenize(self):
# lowercase
strips = """\\.!?,(){}[]"'"""
return [stem(c.strip... | textcluster/cluster.py | import math
import csv
import os
import sys
from collections import defaultdict
from stemming.porter2 import stem
from search import STOPWORDS
SIM_THRESHOLD = .1
MIN_DOCUMENT_LENGTH = 3
class Document():
def tokenize(self):
# lowercase
strips = """\\.!?,(){}[]"'"""
return [stem(c.strip... | 0.363195 | 0.128689 |
import numpy as np
from mpl_toolkits.basemap import Basemap
import matplotlib.pyplot as plt
def make_DWF_globe(observatories, outdir, max_angle=10, step_size=1):
""" Creates images (pngs) of the globe with the
locations of DWF observatories. These can be combined
into a fancy movie.
Parameters
... | DWF_world_plot.py | import numpy as np
from mpl_toolkits.basemap import Basemap
import matplotlib.pyplot as plt
def make_DWF_globe(observatories, outdir, max_angle=10, step_size=1):
""" Creates images (pngs) of the globe with the
locations of DWF observatories. These can be combined
into a fancy movie.
Parameters
... | 0.758868 | 0.655846 |
import pprint
import re # noqa: F401
import six
from thola_client.configuration import Configuration
class CheckIdentifyRequest(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
"""
Attributes:
swagger_types (dict):... | thola_client/models/check_identify_request.py | import pprint
import re # noqa: F401
import six
from thola_client.configuration import Configuration
class CheckIdentifyRequest(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
"""
Attributes:
swagger_types (dict):... | 0.577734 | 0.203193 |
import torch
from torch import nn, optim
from torchvision import datasets, transforms, models
from torch.utils.data import DataLoader
import sys
if __name__ == '__main__':
# 数据预处理,transforms用来处理数据，用来数据增强
transform = transforms.Compose([
transforms.RandomResizedCrop(224), # 对图像进行随机裁剪，然后重新调整大小为224*224
... | PytorchLearning/project/cat_dog_classify.py | import torch
from torch import nn, optim
from torchvision import datasets, transforms, models
from torch.utils.data import DataLoader
import sys
if __name__ == '__main__':
# 数据预处理,transforms用来处理数据，用来数据增强
transform = transforms.Compose([
transforms.RandomResizedCrop(224), # 对图像进行随机裁剪，然后重新调整大小为224*224
... | 0.418816 | 0.540985 |
from django.db.models.fields import CharField, DateTimeField
from django.db.models.fields.related import ForeignKey
from django.test import TestCase
from test_plus.test import TestCase as TestPlusTestCase
from octopus.users.models import User
from ..models import TimeStampedModel, Thing
class TestTimeStampedModel(T... | octopus/things/tests/test_models.py | from django.db.models.fields import CharField, DateTimeField
from django.db.models.fields.related import ForeignKey
from django.test import TestCase
from test_plus.test import TestCase as TestPlusTestCase
from octopus.users.models import User
from ..models import TimeStampedModel, Thing
class TestTimeStampedModel(T... | 0.628863 | 0.397938 |
import cv2
import numpy as np
import tensorflow as tf
from feature_extractor.feature_extractor import YouTube8MFeatureExtractor
CAP_PROP_POS_MSEC = 0
def _int64_list_feature(int64_list):
return tf.train.Feature(int64_list=tf.train.Int64List(value=int64_list))
def _bytes_feature(value):
return tf.train.Feature(... | feature_extractor/gif_feature_extractor.py | import cv2
import numpy as np
import tensorflow as tf
from feature_extractor.feature_extractor import YouTube8MFeatureExtractor
CAP_PROP_POS_MSEC = 0
def _int64_list_feature(int64_list):
return tf.train.Feature(int64_list=tf.train.Int64List(value=int64_list))
def _bytes_feature(value):
return tf.train.Feature(... | 0.732209 | 0.209834 |
import tensorflow as tf
def get_matched_features(features_a, features_b, sinkhorn_lambda, nr_sinkhorn_iter):
n = features_a.get_shape().as_list()[1]
fa_batch1, fa_batch2 = tf.split(features_a, 2, axis=0)
fb_batch1, fb_batch2 = tf.split(features_b, 2, axis=0)
# calculate all distances
dist_a1_a2 ... | toy_example/matching_cpu.py | import tensorflow as tf
def get_matched_features(features_a, features_b, sinkhorn_lambda, nr_sinkhorn_iter):
n = features_a.get_shape().as_list()[1]
fa_batch1, fa_batch2 = tf.split(features_a, 2, axis=0)
fb_batch1, fb_batch2 = tf.split(features_b, 2, axis=0)
# calculate all distances
dist_a1_a2 ... | 0.557123 | 0.452536 |
import param
class HoloViewsFramePlotMethods(HoloViewsSeriesPlotMethods):
by = param.String(default=None)
def __call__(self, x=None, y=None, kind='line', ax=None,
subplots=False, sharex=None, sharey=False, layout=None,
figsize=None, use_index=True, title=None, grid=False,
... | pdhv/frame.py | import param
class HoloViewsFramePlotMethods(HoloViewsSeriesPlotMethods):
by = param.String(default=None)
def __call__(self, x=None, y=None, kind='line', ax=None,
subplots=False, sharex=None, sharey=False, layout=None,
figsize=None, use_index=True, title=None, grid=False,
... | 0.907045 | 0.424352 |
from django.core.urlresolvers import resolve
from django.http import HttpRequest
from django.http import QueryDict
from django.test import TestCase
from django.test import Client
from django.contrib.auth.models import User
from django.contrib.auth import authenticate, login, logout
from django.contrib.auth.decorators i... | academicstoday_project/student/tests/test_quiz.py | from django.core.urlresolvers import resolve
from django.http import HttpRequest
from django.http import QueryDict
from django.test import TestCase
from django.test import Client
from django.contrib.auth.models import User
from django.contrib.auth import authenticate, login, logout
from django.contrib.auth.decorators i... | 0.405213 | 0.19477 |
import getpass
import os
import requests
import shutil
import sys
import tempfile
from besspin_testing import *
from besspin_pexpect import *
from besspin_sudo import call_with_sudo
NIXOS_SUBSTITUTER = 'https://cache.nixos.org/'
NIXOS_PUBLIC_KEY = '<KEY>
BESSPIN_SUBSTITUTER = 'https://artifactory.galois.com/besspin_... | scripts/testing/install_nix.py | import getpass
import os
import requests
import shutil
import sys
import tempfile
from besspin_testing import *
from besspin_pexpect import *
from besspin_sudo import call_with_sudo
NIXOS_SUBSTITUTER = 'https://cache.nixos.org/'
NIXOS_PUBLIC_KEY = '<KEY>
BESSPIN_SUBSTITUTER = 'https://artifactory.galois.com/besspin_... | 0.183813 | 0.101189 |
import uuid
from django.db import models
from django.utils.text import slugify
from django.utils.translation import ugettext_lazy as _
class PsvReview(models.Model):
id = models.UUIDField(_("Review Id"), primary_key=True, default=uuid.uuid4, editable=False)
author = models.ForeignKey("users.Review", verbose_... | lipo/reviews/models.py | import uuid
from django.db import models
from django.utils.text import slugify
from django.utils.translation import ugettext_lazy as _
class PsvReview(models.Model):
id = models.UUIDField(_("Review Id"), primary_key=True, default=uuid.uuid4, editable=False)
author = models.ForeignKey("users.Review", verbose_... | 0.432303 | 0.085518 |
from __future__ import annotations
import dataclasses
import enum
from typing import Generator, Optional
from ._utils import filter_none
class PressureLevel(enum.Enum):
"""Memory pressure level."""
MODERATE = "moderate"
CRITICAL = "critical"
@dataclasses.dataclass
class SamplingProfileNode:
"""He... | cdpy/cdp/memory.py | from __future__ import annotations
import dataclasses
import enum
from typing import Generator, Optional
from ._utils import filter_none
class PressureLevel(enum.Enum):
"""Memory pressure level."""
MODERATE = "moderate"
CRITICAL = "critical"
@dataclasses.dataclass
class SamplingProfileNode:
"""He... | 0.965763 | 0.465205 |
from SLIX.toolbox import *
class TestToolbox:
def test_all_peaks(self):
# Create an absolute simple peak array
arr = numpy.array([0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0])
real_peaks = numpy.argwhere(arr == 1).flatten()
toolbox_peaks = all_peaks(arr, cut_edges=False)
assert numpy.a... | tests/test_toolbox.py | from SLIX.toolbox import *
class TestToolbox:
def test_all_peaks(self):
# Create an absolute simple peak array
arr = numpy.array([0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0])
real_peaks = numpy.argwhere(arr == 1).flatten()
toolbox_peaks = all_peaks(arr, cut_edges=False)
assert numpy.a... | 0.695855 | 0.771198 |
import re
from .game import Game
class Commands:
def __init__(self, data):
self.game = Game()
self.data = data
self.size = len(data)
def process(self):
command = self.__command()
if command:
self.__run_command(command)
else:
self.__help(... | src/commands.py | import re
from .game import Game
class Commands:
def __init__(self, data):
self.game = Game()
self.data = data
self.size = len(data)
def process(self):
command = self.__command()
if command:
self.__run_command(command)
else:
self.__help(... | 0.489259 | 0.154408 |
from typing import Any, Iterable, Tuple, TypeVar, Generic, Callable, Union
import numpy as np
class SetGet:
"""
Provides a useful set and get interface
"""
def set(self, **kwargs):
"""
Set attributes::
obj.set(attr1='value', attr2=35, attr3=True)
... | chromathicity/util.py | from typing import Any, Iterable, Tuple, TypeVar, Generic, Callable, Union
import numpy as np
class SetGet:
"""
Provides a useful set and get interface
"""
def set(self, **kwargs):
"""
Set attributes::
obj.set(attr1='value', attr2=35, attr3=True)
... | 0.889472 | 0.33353 |
import copy
import yaml
import bibtexparser
from bibtexparser.bwriter import BibTexWriter
from bibtexparser.bibdatabase import BibDatabase
from . import normalizetex
def bibtex_dump(data):
r""" Turns dict into BibTex string
Args:
data (List[dict]): data to be transformed
Returns:
str: Bi... | listb/pybibtools.py | import copy
import yaml
import bibtexparser
from bibtexparser.bwriter import BibTexWriter
from bibtexparser.bibdatabase import BibDatabase
from . import normalizetex
def bibtex_dump(data):
r""" Turns dict into BibTex string
Args:
data (List[dict]): data to be transformed
Returns:
str: Bi... | 0.824533 | 0.361559 |
import random
from abc import ABC, abstractmethod
from typing import List
from serving_dataclasses import SessionRequest
from serving_system import ServingSystem
class RequestSorter(ABC):
"""Defines the interface for request sorting algorithms."""
@abstractmethod
def sort(self, serving_system: ServingSy... | solver/solver/request_sorter.py | import random
from abc import ABC, abstractmethod
from typing import List
from serving_dataclasses import SessionRequest
from serving_system import ServingSystem
class RequestSorter(ABC):
"""Defines the interface for request sorting algorithms."""
@abstractmethod
def sort(self, serving_system: ServingSy... | 0.937505 | 0.292482 |
from django.conf.urls import url
from django.urls import include, path
from drf_yasg import openapi
from drf_yasg.views import get_schema_view
from rest_framework import permissions
from rest_framework.authtoken.views import obtain_auth_token
from rest_framework.routers import DefaultRouter
from . import views
app_na... | reservation/urls.py | from django.conf.urls import url
from django.urls import include, path
from drf_yasg import openapi
from drf_yasg.views import get_schema_view
from rest_framework import permissions
from rest_framework.authtoken.views import obtain_auth_token
from rest_framework.routers import DefaultRouter
from . import views
app_na... | 0.314682 | 0.106319 |
# 1 simple
# 2 multiple agent
# plot reward of simple / multi-agent / rsu
"""
# 1***Simple agent *****
import matplotlib.pyplot as plt
import pickle
var = "rc"
pdf_plot = var # R_c, C_o, C_u, k
lstt = [var]#, "C_o", "C_u", "k"]
for pdf_plot in lstt:
with open('z_20ep_resources_'+var+'_ppo.data... | rllib/examples/model/zzz_plot_simple_multi_all.py | # 1 simple
# 2 multiple agent
# plot reward of simple / multi-agent / rsu
"""
# 1***Simple agent *****
import matplotlib.pyplot as plt
import pickle
var = "rc"
pdf_plot = var # R_c, C_o, C_u, k
lstt = [var]#, "C_o", "C_u", "k"]
for pdf_plot in lstt:
with open('z_20ep_resources_'+var+'_ppo.data... | 0.287368 | 0.479991 |
import os
import shutil
SCRIPTDIR = os.path.dirname(os.path.realpath(__file__))
TEMPLATEFILE = os.path.join(SCRIPTDIR, 'Template', 'template.c')
TESTSDIR = os.path.join(SCRIPTDIR, 'Tests')
function_pointer_list = []
STACK_UNIT_SIZE = 1024
STACK_UNIT_NUM = 3
def generate_functions(filename, includes, mainfunction, v... | mbed-client-pal/Utils/stackUsage/TestSuite/TestsGenarator.py | import os
import shutil
SCRIPTDIR = os.path.dirname(os.path.realpath(__file__))
TEMPLATEFILE = os.path.join(SCRIPTDIR, 'Template', 'template.c')
TESTSDIR = os.path.join(SCRIPTDIR, 'Tests')
function_pointer_list = []
STACK_UNIT_SIZE = 1024
STACK_UNIT_NUM = 3
def generate_functions(filename, includes, mainfunction, v... | 0.121829 | 0.05902 |
import time
from decimal import Decimal
to_year = time.strftime("%Y", time.localtime())
# 教师总表转dict（管理员查看）
def teacher_workload_to_dict(item, year=to_year, confirm_status=''):
lic = []
total_money = 0
temp = {}
scientific_money = 0
for i in item:
if confirm_status == '':
if i.... | app/utils/utils.py | import time
from decimal import Decimal
to_year = time.strftime("%Y", time.localtime())
# 教师总表转dict（管理员查看）
def teacher_workload_to_dict(item, year=to_year, confirm_status=''):
lic = []
total_money = 0
temp = {}
scientific_money = 0
for i in item:
if confirm_status == '':
if i.... | 0.180359 | 0.203411 |
class ThoughtSpotTable(object):
"""
A class that represents a ThoughtSpot table.
...
Attributes
----------
logger: an instance of the Python logging class
The logging class used by the application. There may be more pythonic ways to handle. TBD
database: python list
... | Alteryx_Bulk_Loader/Code/tsLoad/ts_table.py | class ThoughtSpotTable(object):
"""
A class that represents a ThoughtSpot table.
...
Attributes
----------
logger: an instance of the Python logging class
The logging class used by the application. There may be more pythonic ways to handle. TBD
database: python list
... | 0.75037 | 0.307631 |
import openpyxl
import pprint
import itertools
from Emotions import *
from Xlsx_operation import *
from Parsing import *
# xlsxファイル読み取り
wb = openpyxl.load_workbook('origin_dic_emo.xlsx')
sheet = wb['感情分類']
sheet1 = wb['作業者A']
sheet2 = wb['作業者B']
sheet3 = wb['作業者C']
def get_value_list(t_2d):
ret... | index.py | import openpyxl
import pprint
import itertools
from Emotions import *
from Xlsx_operation import *
from Parsing import *
# xlsxファイル読み取り
wb = openpyxl.load_workbook('origin_dic_emo.xlsx')
sheet = wb['感情分類']
sheet1 = wb['作業者A']
sheet2 = wb['作業者B']
sheet3 = wb['作業者C']
def get_value_list(t_2d):
ret... | 0.130175 | 0.322366 |
from itertools import combinations
rows = 'ABCDEFGHI'
cols = '123456789'
digits = '123456789'
assignments = []
def assign_value(values, box, value):
"""
Please use this function to update your values dictionary!
Assigns a value to a given box. If it updates the board record it.
"""
... | AIND-Sudoku/solution.py | from itertools import combinations
rows = 'ABCDEFGHI'
cols = '123456789'
digits = '123456789'
assignments = []
def assign_value(values, box, value):
"""
Please use this function to update your values dictionary!
Assigns a value to a given box. If it updates the board record it.
"""
... | 0.650023 | 0.583975 |
from ..util import InsteonError
import logbook
logger = logbook.Logger(__name__)
class Linker:
def __init__(self, dev):
self._dev = dev
def start_linking_responder(self, group=0x01, port=None):
pass
def start_linking_controller(self, group=0x01, port=None):
pass
def stop_lin... | insteon/dev/linker.py | from ..util import InsteonError
import logbook
logger = logbook.Logger(__name__)
class Linker:
def __init__(self, dev):
self._dev = dev
def start_linking_responder(self, group=0x01, port=None):
pass
def start_linking_controller(self, group=0x01, port=None):
pass
def stop_lin... | 0.42179 | 0.073132 |
from Tkinter import *
from idlelib import TreeWidget
import os
from mabot.utils import get_status_color
TreeWidget.ICONDIR = os.path.join(os.path.dirname(__file__), 'icons')
class Node(TreeWidget.TreeNode):
def __init__(self, canvas, parent, item, root=None):
self.root = root
TreeWidget.TreeN... | src/mabot/ui/tree.py |
from Tkinter import *
from idlelib import TreeWidget
import os
from mabot.utils import get_status_color
TreeWidget.ICONDIR = os.path.join(os.path.dirname(__file__), 'icons')
class Node(TreeWidget.TreeNode):
def __init__(self, canvas, parent, item, root=None):
self.root = root
TreeWidget.TreeN... | 0.454472 | 0.092688 |
import time
import datetime
import json
from django.http import response, StreamingHttpResponse
from rest_framework import request
from rest_framework.views import APIView
from rest_framework.renderers import JSONRenderer
from rest_framework.response import Response
from rest_framework import status
class IVAD(APIVie... | console/api/views/IVAD.py | import time
import datetime
import json
from django.http import response, StreamingHttpResponse
from rest_framework import request
from rest_framework.views import APIView
from rest_framework.renderers import JSONRenderer
from rest_framework.response import Response
from rest_framework import status
class IVAD(APIVie... | 0.337204 | 0.091423 |
import os
import time
import json
import requests
import warnings
# Leave here to suppress https missing certificate validation warning
warnings.filterwarnings("ignore")
HEADER = {
'Content-Type': 'application/json',
'Accept': 'application/json',
'SEC': "SEC_TOKEN_HERE"
}
OK = 1
KO = -1
class QRadarAPI... | src/pyradar.py | import os
import time
import json
import requests
import warnings
# Leave here to suppress https missing certificate validation warning
warnings.filterwarnings("ignore")
HEADER = {
'Content-Type': 'application/json',
'Accept': 'application/json',
'SEC': "SEC_TOKEN_HERE"
}
OK = 1
KO = -1
class QRadarAPI... | 0.676406 | 0.183447 |
from util.typedispatch import *
from language.python import ast
from dataflow.reverse import *
from analysis import tools
def liveMeet(values):
if values:
return top
else:
return undefined
# Mark a locals in an AST subtree as used.
class MarkLocals(TypeDispatcher):
@dispatch(ast.leafTypes)
def visitLeaf(se... | bin/optimization/dce.py |
from util.typedispatch import *
from language.python import ast
from dataflow.reverse import *
from analysis import tools
def liveMeet(values):
if values:
return top
else:
return undefined
# Mark a locals in an AST subtree as used.
class MarkLocals(TypeDispatcher):
@dispatch(ast.leafTypes)
def visitLeaf(se... | 0.532911 | 0.319473 |
import io
import tqdm
import requests
from PIL import Image
BASE_URL = 'https://api.nosconecta.com.ar/'
PATH = 'eform/thumbnail/{}'
BASE_PARAMS = {
'resize': 'full',
'page': '0',
}
FOLDER_URL = 'https://ar.turecibo.com/bandeja.php?apiendpoint=/folders/{}/documents/available'
MAX_FAILED_REQUESTS = 3
class Doc... | turecibo_downloader/turecibo_downloader.py | import io
import tqdm
import requests
from PIL import Image
BASE_URL = 'https://api.nosconecta.com.ar/'
PATH = 'eform/thumbnail/{}'
BASE_PARAMS = {
'resize': 'full',
'page': '0',
}
FOLDER_URL = 'https://ar.turecibo.com/bandeja.php?apiendpoint=/folders/{}/documents/available'
MAX_FAILED_REQUESTS = 3
class Doc... | 0.434461 | 0.101857 |
import aiosqlite
import asyncio
import json
import logging
import signal
import argparse
import collections
import traceback
from enum import Enum
ReadMode = Enum('ReadMod', ('EXACT', 'LINE', 'MAX', 'UNTIL')) # 对应四种读模式
class MyError(Exception): # 自定义一个异常类，raise抛出错误实例，便于追踪
pass
async def aioClose(w, *, logHi... | remoteProxy.py | import aiosqlite
import asyncio
import json
import logging
import signal
import argparse
import collections
import traceback
from enum import Enum
ReadMode = Enum('ReadMod', ('EXACT', 'LINE', 'MAX', 'UNTIL')) # 对应四种读模式
class MyError(Exception): # 自定义一个异常类，raise抛出错误实例，便于追踪
pass
async def aioClose(w, *, logHi... | 0.215103 | 0.107157 |
import unittest
import pandas as pd
from scipy.stats import randint, uniform
from sklearn import __version__ as sk_version
from sklearn.base import clone
from sklearn.datasets import load_boston, load_linnerud
from sklearn.decomposition import PCA, TruncatedSVD
from sklearn.model_selection import train_test_split
f... | tests/test_basic.py |
import unittest
import pandas as pd
from scipy.stats import randint, uniform
from sklearn import __version__ as sk_version
from sklearn.base import clone
from sklearn.datasets import load_boston, load_linnerud
from sklearn.decomposition import PCA, TruncatedSVD
from sklearn.model_selection import train_test_split
f... | 0.837121 | 0.653224 |
import os
from typing import NamedTuple, Optional, Dict, Tuple, List, Sequence, Union, \
Set, Any, Callable
import PIL.Image
import numpy as np
import pandas as pd
import torch
import torchvision as tv
from tqdm import tqdm
from .. import transforms as trafo
from ..base import BaseDataset
class BrodenLabel(Nam... | hybrid_learning/datasets/custom/broden.py |
import os
from typing import NamedTuple, Optional, Dict, Tuple, List, Sequence, Union, \
Set, Any, Callable
import PIL.Image
import numpy as np
import pandas as pd
import torch
import torchvision as tv
from tqdm import tqdm
from .. import transforms as trafo
from ..base import BaseDataset
class BrodenLabel(Nam... | 0.940092 | 0.68892 |
from __future__ import unicode_literals
import django.contrib.gis.db.models.fields
from django.db import migrations, models
import django.db.models.deletion
import django_date_extensions.fields
import tinymce.models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operation... | letters/migrations/0001_initial.py | from __future__ import unicode_literals
import django.contrib.gis.db.models.fields
from django.db import migrations, models
import django.db.models.deletion
import django_date_extensions.fields
import tinymce.models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operation... | 0.575349 | 0.233171 |
import os, sys, getopt, string
from Bio.Seq import Seq
from Bio.Blast import NCBIXML
from Bio.Alphabet import IUPAC
#==============================================================================
def show_help():
print """%s parses BLASTX XML output to STDOUT
Options:
-f:\tBLASTX output in XML format
-n:\t... | python/blast/parse-blastout-xml.py |
import os, sys, getopt, string
from Bio.Seq import Seq
from Bio.Blast import NCBIXML
from Bio.Alphabet import IUPAC
#==============================================================================
def show_help():
print """%s parses BLASTX XML output to STDOUT
Options:
-f:\tBLASTX output in XML format
-n:\t... | 0.257205 | 0.259808 |
import json
import argparse
import csv
import sys
parser = argparse.ArgumentParser()
parser.add_argument('-s', '--state',
default = 'open', choices = ['open' ,'closed', 'all'],
help = 'state of issues to fetch')
parser.add_argument('-l', '--label',
help = '... | tools/issues2csv.py |
import json
import argparse
import csv
import sys
parser = argparse.ArgumentParser()
parser.add_argument('-s', '--state',
default = 'open', choices = ['open' ,'closed', 'all'],
help = 'state of issues to fetch')
parser.add_argument('-l', '--label',
help = '... | 0.159348 | 0.112405 |
from PyObjCTools.TestSupport import *
from Foundation import *
class TestNSDateFormatter (TestCase):
def testOutput(self):
formatter = NSDateFormatter.alloc().init()
formatter.setDateFormat_("yyyy/mm/dd")
self.assertResultIsBOOL(NSDateFormatter.getObjectValue_forString_range_error_)
... | PyObjCTest/test_nsdateformatter.py | from PyObjCTools.TestSupport import *
from Foundation import *
class TestNSDateFormatter (TestCase):
def testOutput(self):
formatter = NSDateFormatter.alloc().init()
formatter.setDateFormat_("yyyy/mm/dd")
self.assertResultIsBOOL(NSDateFormatter.getObjectValue_forString_range_error_)
... | 0.588653 | 0.432962 |
from datetime import datetime
from unittest import TestCase
from dhooks_lite.embed import Embed, Author, Footer, Field, Image, Thumbnail
from . import set_test_logger
MODULE_PATH = "dhooks_lite.embed"
logger = set_test_logger(MODULE_PATH, __file__)
class TestEmbedObjectComparing(TestCase):
def setUp(self):
... | tests/test_embed.py | from datetime import datetime
from unittest import TestCase
from dhooks_lite.embed import Embed, Author, Footer, Field, Image, Thumbnail
from . import set_test_logger
MODULE_PATH = "dhooks_lite.embed"
logger = set_test_logger(MODULE_PATH, __file__)
class TestEmbedObjectComparing(TestCase):
def setUp(self):
... | 0.660829 | 0.531088 |
from libqtile import layout
import libqtile.manager
import libqtile.config
from ..utils import Xephyr
class StackConfig:
auto_fullscreen = True
main = None
groups = [
libqtile.config.Group("a"),
libqtile.config.Group("b"),
libqtile.config.Group("c"),
libqtile.config.Group(... | test/layouts/test_stack.py |
from libqtile import layout
import libqtile.manager
import libqtile.config
from ..utils import Xephyr
class StackConfig:
auto_fullscreen = True
main = None
groups = [
libqtile.config.Group("a"),
libqtile.config.Group("b"),
libqtile.config.Group("c"),
libqtile.config.Group(... | 0.540196 | 0.359786 |
import http.client, urllib.request, urllib.parse, urllib.error
import requests
import time
import os
import urllib.request, urllib.error, urllib.parse
import socket
import paho.mqtt.client as mqtt
import RPi.GPIO as GPIO
import sys
import smtplib
#SWITCH 1 (Door)
#home/OpenMQTTGateway/SRFBtoMQTT 3151714
#SWITCH 2... | server/RFbridge.py | import http.client, urllib.request, urllib.parse, urllib.error
import requests
import time
import os
import urllib.request, urllib.error, urllib.parse
import socket
import paho.mqtt.client as mqtt
import RPi.GPIO as GPIO
import sys
import smtplib
#SWITCH 1 (Door)
#home/OpenMQTTGateway/SRFBtoMQTT 3151714
#SWITCH 2... | 0.09277 | 0.050447 |
__description__ = 'Script to search for Mac applications vulnerable to Sparkle.framework MITM attacks'
__see__ = 'https://vulnsec.com/2016/osx-apps-vulnerabilities/'
__author__ = '<NAME> (http://go16.fr)'
__version__ = '0.0.1'
__date__ = '2016/03/06'
"""
Source code put in public domain by <NAME>, no copyright
Use a... | SparkleCheck.py |
__description__ = 'Script to search for Mac applications vulnerable to Sparkle.framework MITM attacks'
__see__ = 'https://vulnsec.com/2016/osx-apps-vulnerabilities/'
__author__ = '<NAME> (http://go16.fr)'
__version__ = '0.0.1'
__date__ = '2016/03/06'
"""
Source code put in public domain by <NAME>, no copyright
Use a... | 0.336004 | 0.107813 |
from __future__ import absolute_import
from __future__ import unicode_literals
import os
from django.conf import settings
from django.db import connections
from django.template import engines
from corehq.sql_db.routers import db_for_read_write
from corehq.warehouse.utils import django_batch_records
from corehq.wareh... | corehq/warehouse/etl.py | from __future__ import absolute_import
from __future__ import unicode_literals
import os
from django.conf import settings
from django.db import connections
from django.template import engines
from corehq.sql_db.routers import db_for_read_write
from corehq.warehouse.utils import django_batch_records
from corehq.wareh... | 0.760295 | 0.143938 |
from __future__ import unicode_literals
import abc
import logging
import six
import semantic_version
from lymph.utils import observables, hash_id
from lymph.core.versioning import compatible, serialize_version
logger = logging.getLogger(__name__)
# Event types propagated by Service when instances change.
ADDED = '... | lymph/core/services.py | from __future__ import unicode_literals
import abc
import logging
import six
import semantic_version
from lymph.utils import observables, hash_id
from lymph.core.versioning import compatible, serialize_version
logger = logging.getLogger(__name__)
# Event types propagated by Service when instances change.
ADDED = '... | 0.582254 | 0.078536 |
import os, glob, sys, subprocess
import PIL.Image
from joblib import Parallel, delayed
if len(sys.argv)<3:
print >>sys.stderr, "Error: Wanted an RLV filename, a mode, and parameters for the modes"
print >>sys.stderr, "Modes are:"
print >>sys.stderr, "- GIVE <digit> - Obtain an arbitrary image that yields t... | casestudies/MNIST/prodNetwork.py | import os, glob, sys, subprocess
import PIL.Image
from joblib import Parallel, delayed
if len(sys.argv)<3:
print >>sys.stderr, "Error: Wanted an RLV filename, a mode, and parameters for the modes"
print >>sys.stderr, "Modes are:"
print >>sys.stderr, "- GIVE <digit> - Obtain an arbitrary image that yields t... | 0.18769 | 0.459501 |
from .matrixgroup import MatrixGroup
from .figure import Figure
class LaserPath(MatrixGroup):
"""The main class of the module for coherent
laser beams: it is the combination of Matrix() or MatrixGroup()
to be used as a laser path with a laser beam (GaussianBeam)
at the entrance.
Usage is to creat... | raytracing/laserpath.py | from .matrixgroup import MatrixGroup
from .figure import Figure
class LaserPath(MatrixGroup):
"""The main class of the module for coherent
laser beams: it is the combination of Matrix() or MatrixGroup()
to be used as a laser path with a laser beam (GaussianBeam)
at the entrance.
Usage is to creat... | 0.936503 | 0.733738 |
from main import *
_logger = logging.getLogger(__name__)
# List of REST resources in current file:
# (url prefix) (method) (action)
# /api/account.invoice.line GET - Read all (with optional filters, offset, limit, order)
# /api/account.invoice.line/<id> GET ... | addons/rest_api/controllers/model__account_invoice_line.py | from main import *
_logger = logging.getLogger(__name__)
# List of REST resources in current file:
# (url prefix) (method) (action)
# /api/account.invoice.line GET - Read all (with optional filters, offset, limit, order)
# /api/account.invoice.line/<id> GET ... | 0.393385 | 0.095265 |
from _TFL import TFL
from _TFL.portable_repr import portable_repr
from _TFL.predicate import sorted
from _TFL.pyk import pyk
import _TFL._Meta.Object
class Record (TFL.Meta.Object) :
"""Class emulating a struct/record (but dynamically).
>>> r = Record (x = "y", kw = ... | venv/Lib/site-packages/_TFL/Record.py |
from _TFL import TFL
from _TFL.portable_repr import portable_repr
from _TFL.predicate import sorted
from _TFL.pyk import pyk
import _TFL._Meta.Object
class Record (TFL.Meta.Object) :
"""Class emulating a struct/record (but dynamically).
>>> r = Record (x = "y", kw = ... | 0.522202 | 0.273828 |
import unittest
class MatMulTests(unittest.TestCase):
def test_matmul(self):
class A:
def __init__(self,x):
self.x = x
def __matmul__(self,other):
return self.x*(other.x)
a = A(2)
b = A(3)
c = a @ b
self.assertEqual(c, ... | test/unit3/test_matmul.py | import unittest
class MatMulTests(unittest.TestCase):
def test_matmul(self):
class A:
def __init__(self,x):
self.x = x
def __matmul__(self,other):
return self.x*(other.x)
a = A(2)
b = A(3)
c = a @ b
self.assertEqual(c, ... | 0.698535 | 0.715896 |
from discord.ext import commands
from motor.motor_asyncio import AsyncIOMotorClient
from main import config_var
cluster = AsyncIOMotorClient(config_var['mango_link'])
cursor = cluster["react_role"]['reaction_roles']
# code base on https://github.com/AdvicSaha443/Discord.py-Self-Role-Bot/blob/main/main.py
class Reac... | cogs/settings/reaction.py | from discord.ext import commands
from motor.motor_asyncio import AsyncIOMotorClient
from main import config_var
cluster = AsyncIOMotorClient(config_var['mango_link'])
cursor = cluster["react_role"]['reaction_roles']
# code base on https://github.com/AdvicSaha443/Discord.py-Self-Role-Bot/blob/main/main.py
class Reac... | 0.503418 | 0.094135 |
import requests
from requests.exceptions import RequestException
from typing import Dict
def check_response(request_func):
""" Verify the resquest response, checking for errors.
Args:
resp (Dict): The response
Raises:
BadRequest: Bad request, check your request
Unauthorized: Inv... | clicksign_api_wrapper/exceptions.py | import requests
from requests.exceptions import RequestException
from typing import Dict
def check_response(request_func):
""" Verify the resquest response, checking for errors.
Args:
resp (Dict): The response
Raises:
BadRequest: Bad request, check your request
Unauthorized: Inv... | 0.751739 | 0.102439 |
from __future__ import print_function
import pickle
import os.path
from googleapiclient.discovery import build
from google_auth_oauthlib.flow import InstalledAppFlow
from google.auth.transport.requests import Request
from os import path
import argparse
parser = argparse.ArgumentParser(description='Setup credentials a... | setup.py | from __future__ import print_function
import pickle
import os.path
from googleapiclient.discovery import build
from google_auth_oauthlib.flow import InstalledAppFlow
from google.auth.transport.requests import Request
from os import path
import argparse
parser = argparse.ArgumentParser(description='Setup credentials a... | 0.27474 | 0.094552 |
class Shield:
def __init__(self):
self.s2 = 0
self.s1 = 0
self.s0 = 0
def tick(self, inputs):
sensor_right = inputs[0]
sensor_down = inputs[1]
sensor_left = inputs[2]
sensor_up = inputs[3]
b = inputs[4]
o3_1 = inputs[5]
o2_1 = inputs[6]
o1_1 = inputs[7]
o3_2 = input... | envs/grid_world/9x9_illustrative/9x9_illustrative_3.py | class Shield:
def __init__(self):
self.s2 = 0
self.s1 = 0
self.s0 = 0
def tick(self, inputs):
sensor_right = inputs[0]
sensor_down = inputs[1]
sensor_left = inputs[2]
sensor_up = inputs[3]
b = inputs[4]
o3_1 = inputs[5]
o2_1 = inputs[6]
o1_1 = inputs[7]
o3_2 = input... | 0.134321 | 0.417628 |
from lib.common import unix2str
from lib.logger import log_types, update_types
from multiprocessing.connection import Client
from StringIO import StringIO
from bitcoin.messages import MsgSerializable
from getopt import getopt
from sys import argv
from apps import COINSCOPED_API_ADDR, COINSCOPED_API_PORT
commands = ['... | apps/hyperion-cli.py | from lib.common import unix2str
from lib.logger import log_types, update_types
from multiprocessing.connection import Client
from StringIO import StringIO
from bitcoin.messages import MsgSerializable
from getopt import getopt
from sys import argv
from apps import COINSCOPED_API_ADDR, COINSCOPED_API_PORT
commands = ['... | 0.44553 | 0.151153 |
import re
from threading import Thread
from .pipe import Pipe
from newsman.utils import Url
from newsman.scraping import UrlFilter
import requests
#RE_IMG = re.compile(r'<img (?:.+?) src="(.+?)" (?:.+?)>', re.MULTILINE|re.DOTALL)
RE_IMG = re.compile(r'<img(?:.*?)src="(.+?)"', re.MULTILINE|re.DOTALL)
ACCEPTED_EXTS = [... | newsman/pipeline/html2image.py | import re
from threading import Thread
from .pipe import Pipe
from newsman.utils import Url
from newsman.scraping import UrlFilter
import requests
#RE_IMG = re.compile(r'<img (?:.+?) src="(.+?)" (?:.+?)>', re.MULTILINE|re.DOTALL)
RE_IMG = re.compile(r'<img(?:.*?)src="(.+?)"', re.MULTILINE|re.DOTALL)
ACCEPTED_EXTS = [... | 0.530966 | 0.170612 |
import time
import ast
import os
import getpass
from passlib.hash import pbkdf2_sha256
def refreshlist():
infile = open('creds.cred', 'r')
per_row = []
for line in infile:
per_row.append(line.strip().split('\t'))
per_column = zip(*per_row)
try:
global firstname
... | main.py | import time
import ast
import os
import getpass
from passlib.hash import pbkdf2_sha256
def refreshlist():
infile = open('creds.cred', 'r')
per_row = []
for line in infile:
per_row.append(line.strip().split('\t'))
per_column = zip(*per_row)
try:
global firstname
... | 0.040731 | 0.110519 |
import preprocess_helper
import tensorflow as tf
import numpy as np
import gensim
def get_model_api():
"""Returns lambda function for api"""
# 1. initialize model once and for all
print("- Load vocabulary list")
vocabulary_size = 20000
embedding_dimension = 100
use_word2vec_emb = True
vo... | serve_lstm.py | import preprocess_helper
import tensorflow as tf
import numpy as np
import gensim
def get_model_api():
"""Returns lambda function for api"""
# 1. initialize model once and for all
print("- Load vocabulary list")
vocabulary_size = 20000
embedding_dimension = 100
use_word2vec_emb = True
vo... | 0.772788 | 0.181571 |
from PyQt4 import QtGui, QtCore
import sys
from collections import namedtuple
class BoolBox(QtGui.QPushButton):
myValueChanged = QtCore.pyqtSignal(bool)
def __init__(self, value, parent=None):
super(BoolBox, self).__init__(parent)
self.setCheckable(True)
self.state = value
se... | streamviewer/widgets/DictEditor.py |
from PyQt4 import QtGui, QtCore
import sys
from collections import namedtuple
class BoolBox(QtGui.QPushButton):
myValueChanged = QtCore.pyqtSignal(bool)
def __init__(self, value, parent=None):
super(BoolBox, self).__init__(parent)
self.setCheckable(True)
self.state = value
se... | 0.358016 | 0.095983 |
import os
import re
import pickle
PAD = "PAD"
EOS = "EOS"
START_VOCAB = [PAD, EOS]
try:
PROJECT_ROOT = os.environ['HH_ROOT']
except KeyError:
raise Exception("Please export HH_ROOT as the project directory")
VOCAB_SET_PATH = os.path.join(PROJECT_ROOT, 'hooperhub/data/pkl/vocab_set.pkl')
INPUT2ID_PATH = os.p... | hooperhub/util/data_utils.py |
import os
import re
import pickle
PAD = "PAD"
EOS = "EOS"
START_VOCAB = [PAD, EOS]
try:
PROJECT_ROOT = os.environ['HH_ROOT']
except KeyError:
raise Exception("Please export HH_ROOT as the project directory")
VOCAB_SET_PATH = os.path.join(PROJECT_ROOT, 'hooperhub/data/pkl/vocab_set.pkl')
INPUT2ID_PATH = os.p... | 0.493653 | 0.171061 |
from copy import copy
from ..blast.BlastHsp import BlastHsp
class BlastHit:
def __init__(self, subject_id, subject_length, hsps):
self.subject_id = subject_id
self.subject_length = subject_length
self.hsps = hsps
@classmethod
def from_rec(cls, rec):
subject_id = rec.hit_i... | src/blast/BlastHit.py | from copy import copy
from ..blast.BlastHsp import BlastHsp
class BlastHit:
def __init__(self, subject_id, subject_length, hsps):
self.subject_id = subject_id
self.subject_length = subject_length
self.hsps = hsps
@classmethod
def from_rec(cls, rec):
subject_id = rec.hit_i... | 0.561215 | 0.255442 |
import numpy as np
import pandas as pd
from sklearn.preprocessing import LabelEncoder, MinMaxScaler
import os
def load_schizophrenia_data(data_folder='data', verbose=True):
"""Load the functional connectivity data from the MLSP Schizophrenia
classification challange on Kaggle:
http://www.kaggle.com/c/mlsp... | load_data.py | import numpy as np
import pandas as pd
from sklearn.preprocessing import LabelEncoder, MinMaxScaler
import os
def load_schizophrenia_data(data_folder='data', verbose=True):
"""Load the functional connectivity data from the MLSP Schizophrenia
classification challange on Kaggle:
http://www.kaggle.com/c/mlsp... | 0.777384 | 0.524334 |
import os
import re
import json
import hashlib
import zipfile
from io import StringIO
from django.core.exceptions import ObjectDoesNotExist
from django.core.files import File as NewFile
from django.db import transaction
from django.template import loader
from bridge.vars import COVERAGE_FILE
from reports.models imp... | bridge/reports/coverage.py |
import os
import re
import json
import hashlib
import zipfile
from io import StringIO
from django.core.exceptions import ObjectDoesNotExist
from django.core.files import File as NewFile
from django.db import transaction
from django.template import loader
from bridge.vars import COVERAGE_FILE
from reports.models imp... | 0.380644 | 0.142739 |
from sklearn.model_selection import train_test_split
from sklearn.metrics import plot_confusion_matrix
from sklearn.naive_bayes import GaussianNB
from matplotlib import pylab
import pandas as pd
import argparse
from eolearn.core import LoadTask
from plasticfinder.tasks.local_norm import LocalNormalization
from plastic... | train_model.py | from sklearn.model_selection import train_test_split
from sklearn.metrics import plot_confusion_matrix
from sklearn.naive_bayes import GaussianNB
from matplotlib import pylab
import pandas as pd
import argparse
from eolearn.core import LoadTask
from plasticfinder.tasks.local_norm import LocalNormalization
from plastic... | 0.792825 | 0.592902 |
import os
import yaml
from yaml import Loader
from pyul.coreUtils import DotifyDict
from battalion.api import *
waybill_template = """
echo " - {command}"
function {command}()
{{
docker pull {docker_id}
docker run -it --rm -v ~/.{command}:/.{command} "{docker_id}" {command} $@
}}
"""
def construct_yaml_map(se... | waybill/cli.py | import os
import yaml
from yaml import Loader
from pyul.coreUtils import DotifyDict
from battalion.api import *
waybill_template = """
echo " - {command}"
function {command}()
{{
docker pull {docker_id}
docker run -it --rm -v ~/.{command}:/.{command} "{docker_id}" {command} $@
}}
"""
def construct_yaml_map(se... | 0.335024 | 0.09118 |
import csv
import sys
extra_keys_in_app = set([
'English Government of Canada signature', # constant
'French Government of Canada signature', # constant
'Empty', # template_list.py
'1 template', # template_list.py
'Not a valid phone number', # a validation liberary
'bad invitation link', ... | scripts/babel_test.py | import csv
import sys
extra_keys_in_app = set([
'English Government of Canada signature', # constant
'French Government of Canada signature', # constant
'Empty', # template_list.py
'1 template', # template_list.py
'Not a valid phone number', # a validation liberary
'bad invitation link', ... | 0.245175 | 0.089773 |
import os
import sys
from PIL import Image
from PIL.ExifTags import GPSTAGS, TAGS
from modules.colour import bright as br
def data_extracter_from_images(choose_options_1_or_2, forder_or_filename) -> str:
def maps(gps_co_ordinate):
latitude = decimal_degree(float(gps_co_ordinate["lat"][0]), float(... | exploits/information_Gathering/image_data_extracter.py | import os
import sys
from PIL import Image
from PIL.ExifTags import GPSTAGS, TAGS
from modules.colour import bright as br
def data_extracter_from_images(choose_options_1_or_2, forder_or_filename) -> str:
def maps(gps_co_ordinate):
latitude = decimal_degree(float(gps_co_ordinate["lat"][0]), float(... | 0.19163 | 0.250982 |
from os_parameters_define import *
from utility_function import *
from config import *
## Function : MESDC CMD Converter 0x26h cmd to str format
def mesdc_26h_raw_to_str_py( ):
netfun = 0x30
cmd = '0x26'
# Setup 26h_raw
mesdc_26h_raw = [cmd,'0x57','0x01','0x00','0x04','0x06','0x04',... | nm_ipmi_raw_to_str.py | from os_parameters_define import *
from utility_function import *
from config import *
## Function : MESDC CMD Converter 0x26h cmd to str format
def mesdc_26h_raw_to_str_py( ):
netfun = 0x30
cmd = '0x26'
# Setup 26h_raw
mesdc_26h_raw = [cmd,'0x57','0x01','0x00','0x04','0x06','0x04',... | 0.172799 | 0.13148 |
# https://github.com/dbullockphd/RPiSense
from os import getenv
from random import randint
from numpy import uint8, where, genfromtxt
class Colors (object):
"""
Keep a list of colors organized and sorted. You can select colors by name, by index number, and even at random.
:param order: (`array_like`)
... | python/RPiSense/Colors.py |
# https://github.com/dbullockphd/RPiSense
from os import getenv
from random import randint
from numpy import uint8, where, genfromtxt
class Colors (object):
"""
Keep a list of colors organized and sorted. You can select colors by name, by index number, and even at random.
:param order: (`array_like`)
... | 0.890038 | 0.308112 |
import numpy as np
"""
For conv2D methods:
Weights shape must be in form of (o, i, k_h, k_w), where 'o' stands for number of outputs, 'i' number of inputs, 'k_h'
is kernel height and 'k_w' is kernel width
fMaps stands for Feature Maps, or input images, its shape must be in form of (i, h,... | NNLayers.py | import numpy as np
"""
For conv2D methods:
Weights shape must be in form of (o, i, k_h, k_w), where 'o' stands for number of outputs, 'i' number of inputs, 'k_h'
is kernel height and 'k_w' is kernel width
fMaps stands for Feature Maps, or input images, its shape must be in form of (i, h,... | 0.601711 | 0.596874 |
import atexit
import sys
import time
import threading
from Queue import Queue, Empty
from flask import Flask, request, render_template
from sign import Sign
queue = Queue()
stop = threading.Event()
t = None
def do_command(sign, command, args):
if command == 'change_modes':
sign.change_modes()
else:... | sign_api.py | import atexit
import sys
import time
import threading
from Queue import Queue, Empty
from flask import Flask, request, render_template
from sign import Sign
queue = Queue()
stop = threading.Event()
t = None
def do_command(sign, command, args):
if command == 'change_modes':
sign.change_modes()
else:... | 0.261708 | 0.120103 |
import csv
from pathlib import Path
from scipy.sparse import csr_matrix
from scipy.sparse.csgraph import connected_components
# Read feature vectors from dataDir and write them to outDir after processing, one canopy at a time
def processRexa(dataDir, outDir):
folderList = [str(f) for f in Path(dataDir).glob("*") if... | src/utils/processRexa.py | import csv
from pathlib import Path
from scipy.sparse import csr_matrix
from scipy.sparse.csgraph import connected_components
# Read feature vectors from dataDir and write them to outDir after processing, one canopy at a time
def processRexa(dataDir, outDir):
folderList = [str(f) for f in Path(dataDir).glob("*") if... | 0.23231 | 0.363845 |
import logging
from cliff.lister import Lister
from os_capacity.data import metrics
from os_capacity import utils
class FlavorList(Lister):
"""List all the flavors."""
log = logging.getLogger(__name__)
def take_action(self, parsed_args):
flavors = utils.get_flavors(self.app)
return (... | os_capacity/commands/commands.py |
import logging
from cliff.lister import Lister
from os_capacity.data import metrics
from os_capacity import utils
class FlavorList(Lister):
"""List all the flavors."""
log = logging.getLogger(__name__)
def take_action(self, parsed_args):
flavors = utils.get_flavors(self.app)
return (... | 0.661376 | 0.203965 |
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
from wordcloud import WordCloud
from ..utils import flatten
def radar(df, idx):
# We are going to plot the first line of the data frame.
# But we need to repeat the first value to close the circular graph:
values = df.loc[idx].value... | saa/plot/snapshot.py | import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
from wordcloud import WordCloud
from ..utils import flatten
def radar(df, idx):
# We are going to plot the first line of the data frame.
# But we need to repeat the first value to close the circular graph:
values = df.loc[idx].value... | 0.768038 | 0.788746 |
from constants import *
from disc import Disc
class Board:
"""
Board class that implements Othello game logic.
"""
def __init__(self):
"""
Initializes the board by setting all of the initial values.
"""
self.discs = [[Disc(EMPTY) for x in range(SIZE)] for y in range(SI... | board.py | from constants import *
from disc import Disc
class Board:
"""
Board class that implements Othello game logic.
"""
def __init__(self):
"""
Initializes the board by setting all of the initial values.
"""
self.discs = [[Disc(EMPTY) for x in range(SIZE)] for y in range(SI... | 0.663233 | 0.399694 |
import csv
import matplotlib.pyplot as plt
import numpy as np
from .Data import Data, CalibData
from ..Solver import reinitialize_solver, Solver
from ..util.utilities import get_config
REGULARIZATION_PARAM = get_config()["regularization_coeff"]
THRESHOLD_PERCENTAGE = 0.9
class DataPlotter:
"""
Plotter for ... | CEIT/datahandler/DataHandler.py | import csv
import matplotlib.pyplot as plt
import numpy as np
from .Data import Data, CalibData
from ..Solver import reinitialize_solver, Solver
from ..util.utilities import get_config
REGULARIZATION_PARAM = get_config()["regularization_coeff"]
THRESHOLD_PERCENTAGE = 0.9
class DataPlotter:
"""
Plotter for ... | 0.789721 | 0.519765 |
from tensorflow import keras
from sklearned.tasks.skatertasks import cached_surrogate_data
from pprint import pprint
import numpy as np
# loss displayed ~ 0.0022
SLUGGISH_MOVING_AVERAGE_BEST = {'test_error': 0.02999787349626533,
'train_error': 0.022068321680294486,
... | experiments_on_skaters_old_style/keras_sluggish_moving_average.py | from tensorflow import keras
from sklearned.tasks.skatertasks import cached_surrogate_data
from pprint import pprint
import numpy as np
# loss displayed ~ 0.0022
SLUGGISH_MOVING_AVERAGE_BEST = {'test_error': 0.02999787349626533,
'train_error': 0.022068321680294486,
... | 0.740174 | 0.41647 |
def value(registers, x):
try:
return int(x)
except ValueError:
return registers[x]
def cpy(registers, src, dst):
registers[dst] = value(registers, src)
def inc(registers, reg):
registers[reg] += 1
def dec(registers, reg):
registers[reg] -= 1
def jnz(registers, val, tar):
... | 23.py | def value(registers, x):
try:
return int(x)
except ValueError:
return registers[x]
def cpy(registers, src, dst):
registers[dst] = value(registers, src)
def inc(registers, reg):
registers[reg] += 1
def dec(registers, reg):
registers[reg] -= 1
def jnz(registers, val, tar):
... | 0.340047 | 0.619097 |
import pytest
from pinakes.main.catalog.services.sanitize_parameters import (
SanitizeParameters,
)
from pinakes.main.catalog.tests.factories import (
OrderItemFactory,
PortfolioItemFactory,
ServicePlanFactory,
)
@pytest.mark.django_db
def test_sanitize_parameters_from_service_plan_base():
fields... | pinakes/main/catalog/tests/services/test_sanitize_parameters.py | import pytest
from pinakes.main.catalog.services.sanitize_parameters import (
SanitizeParameters,
)
from pinakes.main.catalog.tests.factories import (
OrderItemFactory,
PortfolioItemFactory,
ServicePlanFactory,
)
@pytest.mark.django_db
def test_sanitize_parameters_from_service_plan_base():
fields... | 0.469277 | 0.326943 |
import os,sys
from time import process_time
import argparse
parser = argparse.ArgumentParser(description='This script works for rearrangement and indel analysis in fastq files for CRISPR-caused mutations in Rice. \
Default average length for fastq files is 150bp.\
Default length for sliding window in indel analysis is... | master.py | import os,sys
from time import process_time
import argparse
parser = argparse.ArgumentParser(description='This script works for rearrangement and indel analysis in fastq files for CRISPR-caused mutations in Rice. \
Default average length for fastq files is 150bp.\
Default length for sliding window in indel analysis is... | 0.060398 | 0.085251 |
import os
import shutil
import subprocess
import tempfile
import pytest
import pysam
from riboviz import h5
from riboviz import hisat2
from riboviz import sam_bam
from riboviz import compare_files
from riboviz import count_reads
from riboviz import workflow_files
from riboviz import workflow_r
from riboviz.tools import... | riboviz/test/regression/test_regression.py | import os
import shutil
import subprocess
import tempfile
import pytest
import pysam
from riboviz import h5
from riboviz import hisat2
from riboviz import sam_bam
from riboviz import compare_files
from riboviz import count_reads
from riboviz import workflow_files
from riboviz import workflow_r
from riboviz.tools import... | 0.548915 | 0.445891 |
import roslib
import rospy
from geometry_msgs.msg import PoseStamped
from moveit_msgs.srv import *
from moveit_msgs.msg import RobotState
from std_msgs.msg import Float64MultiArray
from std_msgs.msg import String
from std_msgs.msg import Float32
from std_msgs.msg import MultiArrayDimension
from sensor_msgs.msg import ... | rwt_moveit/nodes/interactive_moveit.py |
import roslib
import rospy
from geometry_msgs.msg import PoseStamped
from moveit_msgs.srv import *
from moveit_msgs.msg import RobotState
from std_msgs.msg import Float64MultiArray
from std_msgs.msg import String
from std_msgs.msg import Float32
from std_msgs.msg import MultiArrayDimension
from sensor_msgs.msg import ... | 0.478285 | 0.125012 |
import argparse
from smd.data.data_generator import DataGenerator
from smd.data.dataset_loader import DatasetLoader
from smd.models.model_loader import load_model, compile_model
from smd.data.data_augmentation import random_loudness_spec, random_filter_spec, block_mixing_spec, pitch_time_deformation_spec
from smd.data ... | train.py | import argparse
from smd.data.data_generator import DataGenerator
from smd.data.dataset_loader import DatasetLoader
from smd.models.model_loader import load_model, compile_model
from smd.data.data_augmentation import random_loudness_spec, random_filter_spec, block_mixing_spec, pitch_time_deformation_spec
from smd.data ... | 0.650134 | 0.283214 |
from __future__ import unicode_literals
from django.contrib.auth.models import AbstractUser, UserManager
from django.db import models
from datetime import date
# Create your models here.
class Coach(models.Model):
first_name = models.CharField(
max_length=255,
)
last_name = models.CharField(
... | OlimpiColombiaApp/models.py | from __future__ import unicode_literals
from django.contrib.auth.models import AbstractUser, UserManager
from django.db import models
from datetime import date
# Create your models here.
class Coach(models.Model):
first_name = models.CharField(
max_length=255,
)
last_name = models.CharField(
... | 0.444324 | 0.183301 |
import os
import sys
if __name__ == '__main__':
sys.path.append(os.path.join(os.path.dirname(sys.argv[0]), '..'))
import unittest
from grit import util
class UtilUnittest(unittest.TestCase):
''' Tests functions from util
'''
def testNewClassInstance(self):
# Test short class name with no fully qualifie... | tools/grit/grit/util_unittest.py | import os
import sys
if __name__ == '__main__':
sys.path.append(os.path.join(os.path.dirname(sys.argv[0]), '..'))
import unittest
from grit import util
class UtilUnittest(unittest.TestCase):
''' Tests functions from util
'''
def testNewClassInstance(self):
# Test short class name with no fully qualifie... | 0.363647 | 0.24638 |
import aiohttp
import asyncio
from Crypto.Hash import SHA
import json
class AuthError(Exception):
pass
class AuthAPIError(AuthError):
def __init__(self, error, message, cause):
self.error = error
self.message = message
if cause is not None:
self.cause = cause
class AuthM... | mcpy/auth.py | import aiohttp
import asyncio
from Crypto.Hash import SHA
import json
class AuthError(Exception):
pass
class AuthAPIError(AuthError):
def __init__(self, error, message, cause):
self.error = error
self.message = message
if cause is not None:
self.cause = cause
class AuthM... | 0.415847 | 0.069352 |
# -*- coding:UTF-8 -*-
# 识别一张手写数字的图片中的数字
# 首先对图片进行处理, 通过`findContours`确定包含单个数字的`轮廓`
# 根据`轮廓`选取ROI, 通过之前训练的模型`predict`数字
from sklearn.externals import joblib
from skimage import feature
import numpy as np
import mahotas
import cv2
import datasets
import mahotas
args = {}
args["model"] = r"model.pickle"
... | HandwritingDigits/classify.py | # -*- coding:UTF-8 -*-
# 识别一张手写数字的图片中的数字
# 首先对图片进行处理, 通过`findContours`确定包含单个数字的`轮廓`
# 根据`轮廓`选取ROI, 通过之前训练的模型`predict`数字
from sklearn.externals import joblib
from skimage import feature
import numpy as np
import mahotas
import cv2
import datasets
import mahotas
args = {}
args["model"] = r"model.pickle"
... | 0.402744 | 0.208682 |
import numpy as np
from .fdistance import fl1_distance, fl2_distance
from .fdistance import fp_distance_integer, fp_distance_double
def l1_distance(A, B):
""" Calculates the Manhattan distances, D, between two
Numpy arrays of representations.
:math:`D_{ij} = \\|A_i - B_j\\|_1`
Where ... | coreml/cml/distance.py | import numpy as np
from .fdistance import fl1_distance, fl2_distance
from .fdistance import fp_distance_integer, fp_distance_double
def l1_distance(A, B):
""" Calculates the Manhattan distances, D, between two
Numpy arrays of representations.
:math:`D_{ij} = \\|A_i - B_j\\|_1`
Where ... | 0.885761 | 0.869493 |
import getopt
import logging
import sys
from objects.InputParams import InputParams
from services.AFWordsClustering import AFWordsClustering
from services.ExecutionTime import LoggingTime
from services.FileService import ProcessingFilesService
def get_input_params(argv):
"""
Reads cmd provided parameters for... | console/af_cluster.py | import getopt
import logging
import sys
from objects.InputParams import InputParams
from services.AFWordsClustering import AFWordsClustering
from services.ExecutionTime import LoggingTime
from services.FileService import ProcessingFilesService
def get_input_params(argv):
"""
Reads cmd provided parameters for... | 0.296145 | 0.177223 |
import importlib
import inspect
import pkgutil
import sys
from pathlib import Path
from typing import Iterator, Sequence
import click
from .stubgenc import generate_stub_for_c_module, is_c_module
@click.command(context_settings={"help_option_names": ["-h", "--help"]})
@click.argument("output_dir")
@click.argument("... | src/pybind11_generics/stubgen/__main__.py | import importlib
import inspect
import pkgutil
import sys
from pathlib import Path
from typing import Iterator, Sequence
import click
from .stubgenc import generate_stub_for_c_module, is_c_module
@click.command(context_settings={"help_option_names": ["-h", "--help"]})
@click.argument("output_dir")
@click.argument("... | 0.469034 | 0.123339 |
from privacy_evaluator.attacks.attack import Attack
from privacy_evaluator.classifiers.classifier import Classifier
import privacy_evaluator.utils.data_utils as data_utils
from privacy_evaluator.utils.trainer import trainer
from privacy_evaluator.models.tf.conv_net_meta_classifier import ConvNetMetaClassifier
from priv... | privacy_evaluator/attacks/property_inference_attack.py | from privacy_evaluator.attacks.attack import Attack
from privacy_evaluator.classifiers.classifier import Classifier
import privacy_evaluator.utils.data_utils as data_utils
from privacy_evaluator.utils.trainer import trainer
from privacy_evaluator.models.tf.conv_net_meta_classifier import ConvNetMetaClassifier
from priv... | 0.939969 | 0.572454 |
import json
from config import *
from auth import *
from flask import Flask, render_template, request
from script import *
#! Flask app init
app = Flask(__name__)
#! Index page
@app.route("/", methods=["GET"])
def index():
return render_template('index.html', TRADE_SYMBOL=TRADE_SYMBOL)
#! Webhook connection rout... | Project/app.py | import json
from config import *
from auth import *
from flask import Flask, render_template, request
from script import *
#! Flask app init
app = Flask(__name__)
#! Index page
@app.route("/", methods=["GET"])
def index():
return render_template('index.html', TRADE_SYMBOL=TRADE_SYMBOL)
#! Webhook connection rout... | 0.228673 | 0.081191 |
import os
import re
import cv2
import shelve
from time import sleep
from os import getlogin, mkdir
from selenium import webdriver
from send2trash import send2trash
from webdriver_manager.chrome import ChromeDriverManager
from .error import LoginError
os.environ["WDM_LOG_LEVEL"] = "0"
def get_qrcode(driver, timeout):... | whatsappy/login.py | import os
import re
import cv2
import shelve
from time import sleep
from os import getlogin, mkdir
from selenium import webdriver
from send2trash import send2trash
from webdriver_manager.chrome import ChromeDriverManager
from .error import LoginError
os.environ["WDM_LOG_LEVEL"] = "0"
def get_qrcode(driver, timeout):... | 0.17252 | 0.049912 |
import sys
import time
import json
import base64
import urllib
import urllib2
import traceback
import threading
import ssl
import weblab.configuration_doc as configuration_doc
from weblab.experiment.experiment import Experiment
from weblab.experiment.concurrent_experiment import ConcurrentExperiment
import weblab.exp... | server/src/experiments/http_experiment.py |
import sys
import time
import json
import base64
import urllib
import urllib2
import traceback
import threading
import ssl
import weblab.configuration_doc as configuration_doc
from weblab.experiment.experiment import Experiment
from weblab.experiment.concurrent_experiment import ConcurrentExperiment
import weblab.exp... | 0.356783 | 0.07088 |
import json
import copy
from collections import defaultdict
import ODWN_reader
def convert(old_json):
new_json = {"lus" : []}
agent_methods = defaultdict(int)
agents = defaultdict(int)
methods = defaultdict(int)
match_rels = defaultdict(int)
for old_lu_info in old_json['lus']:
new... | src/convert_iterations_1_and_2_to_new_version.py | import json
import copy
from collections import defaultdict
import ODWN_reader
def convert(old_json):
new_json = {"lus" : []}
agent_methods = defaultdict(int)
agents = defaultdict(int)
methods = defaultdict(int)
match_rels = defaultdict(int)
for old_lu_info in old_json['lus']:
new... | 0.172694 | 0.159774 |
import pytest
import uuid
from flask import json, url_for
from tests.conftest import create_authorization_header
from tests.db import create_article
sample_articles = [
{
"id": "1",
"title": "Forty Years Fighting Racism and Intolerance",
"author": "<NAME>",
"content": """<h2>A ce... | tests/app/routes/articles/test_rest.py | import pytest
import uuid
from flask import json, url_for
from tests.conftest import create_authorization_header
from tests.db import create_article
sample_articles = [
{
"id": "1",
"title": "Forty Years Fighting Racism and Intolerance",
"author": "<NAME>",
"content": """<h2>A ce... | 0.498535 | 0.47859 |
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import logging
from abc import ABC
from typing import Any, Dict, Tuple, Type
import torch
import tqdm
from mmf.common.meter import Meter
from mmf.common.report import Report
from mmf.comm... | mmf/trainers/core/evaluation_loop.py |
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import logging
from abc import ABC
from typing import Any, Dict, Tuple, Type
import torch
import tqdm
from mmf.common.meter import Meter
from mmf.common.report import Report
from mmf.comm... | 0.857932 | 0.189784 |
def check_empty(value, default='', post=', '):
if value is None:
return default
elif value == '':
return default
elif value == ' ':
return default
else:
return "{}{}".format(value, post)
status_lookup = {'AC': 'Active',
'CN': 'Cancelled',
... | web/sots/helpers.py | def check_empty(value, default='', post=', '):
if value is None:
return default
elif value == '':
return default
elif value == ' ':
return default
else:
return "{}{}".format(value, post)
status_lookup = {'AC': 'Active',
'CN': 'Cancelled',
... | 0.524151 | 0.246715 |
import numpy as np
import cv2
import glob
import tqdm
import multiprocessing
import random
import orderedset
class Encoder:
"""
A simple class for one hot encoding and decoding labels.
"""
def __init__(self, labels):
"""
:param labels: A complete list of labels to be used to define on... | net/utilities.py | import numpy as np
import cv2
import glob
import tqdm
import multiprocessing
import random
import orderedset
class Encoder:
"""
A simple class for one hot encoding and decoding labels.
"""
def __init__(self, labels):
"""
:param labels: A complete list of labels to be used to define on... | 0.783782 | 0.601974 |
import random
from typing import List, Optional
from interfaces.SentenceOperation import SentenceOperation
from tasks.TaskTypes import TaskType
class SpeechDisfluencyPerturbation(SentenceOperation):
tasks: List[TaskType] = [
TaskType.TEXT_CLASSIFICATION,
TaskType.TEXT_TO_TEXT_GENERATION,
]
... | transformations/speech_disfluency_perturbation/transformation.py | import random
from typing import List, Optional
from interfaces.SentenceOperation import SentenceOperation
from tasks.TaskTypes import TaskType
class SpeechDisfluencyPerturbation(SentenceOperation):
tasks: List[TaskType] = [
TaskType.TEXT_CLASSIFICATION,
TaskType.TEXT_TO_TEXT_GENERATION,
]
... | 0.722918 | 0.371992 |
from View.ViewData import ViewData
from View.ViewGraph import ViewGraph
from View.ViewConsole import ViewConsole
from View.ViewCurvefit import ViewCurvefit
from View.ViewTitle import ViewTitle
from Model.Graphic import Graphic
from Model.Curvefit import Curvefit
from Model.DataExtractor import DataExtractor
from PyQt5.... | View/mainWindow.py | from View.ViewData import ViewData
from View.ViewGraph import ViewGraph
from View.ViewConsole import ViewConsole
from View.ViewCurvefit import ViewCurvefit
from View.ViewTitle import ViewTitle
from Model.Graphic import Graphic
from Model.Curvefit import Curvefit
from Model.DataExtractor import DataExtractor
from PyQt5.... | 0.500244 | 0.097133 |
import mxnet as mx
import net_symbols as syms
def create_block(data, name, num_filter, kernel, pad=0, stride=1, dilate=1, workspace=512,
use_global_stats=True, lr_type="alex"):
res = syms.conv(data=data, name="res" + name, num_filter=num_filter, pad=pad, kernel=kernel, stride=stride,
... | cores/symbols/bg_cue_resnet50.py | import mxnet as mx
import net_symbols as syms
def create_block(data, name, num_filter, kernel, pad=0, stride=1, dilate=1, workspace=512,
use_global_stats=True, lr_type="alex"):
res = syms.conv(data=data, name="res" + name, num_filter=num_filter, pad=pad, kernel=kernel, stride=stride,
... | 0.373304 | 0.234779 |