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 .item import Value, Item, ANY, make_item
___all__ = [
"Items",
"make_items",
]
def _compute_size(items):
size = 0
for item in items:
if isinstance(item, Item):
isize = item.size
if isize is None:
return None
else:
size +... | src/sequel/items.py | from .item import Value, Item, ANY, make_item
___all__ = [
"Items",
"make_items",
]
def _compute_size(items):
size = 0
for item in items:
if isinstance(item, Item):
isize = item.size
if isize is None:
return None
else:
size +... | 0.505371 | 0.222299 |
from collections import OrderedDict
from ..mixins.ondemand import ext as _ext
# ==================
def timeouts(env, fmt):
timeouts = env['timeouts']
connect_to = int(timeouts['connect'])
read_to = int(timeouts['read'])
total_to = int(timeouts['total'])
if fmt == 'requests':
return (con... | futoin/cid/util/configutil.py |
from collections import OrderedDict
from ..mixins.ondemand import ext as _ext
# ==================
def timeouts(env, fmt):
timeouts = env['timeouts']
connect_to = int(timeouts['connect'])
read_to = int(timeouts['read'])
total_to = int(timeouts['total'])
if fmt == 'requests':
return (con... | 0.460046 | 0.246389 |
import json
from collections import OrderedDict
import pprint
s = r'{"C": "\u3042", "A": {"i": 1, "j": 2}, "B": [{"X": 1, "Y": 10}, {"X": 2, "Y": 20}]}'
print(s)
# {"C": "\u3042", "A": {"i": 1, "j": 2}, "B": [{"X": 1, "Y": 10}, {"X": 2, "Y": 20}]}
d = json.loads(s)
pprint.pprint(d, width=40)
# {'A': {'i': 1, 'j': 2... | notebook/json_example.py | import json
from collections import OrderedDict
import pprint
s = r'{"C": "\u3042", "A": {"i": 1, "j": 2}, "B": [{"X": 1, "Y": 10}, {"X": 2, "Y": 20}]}'
print(s)
# {"C": "\u3042", "A": {"i": 1, "j": 2}, "B": [{"X": 1, "Y": 10}, {"X": 2, "Y": 20}]}
d = json.loads(s)
pprint.pprint(d, width=40)
# {'A': {'i': 1, 'j': 2... | 0.058993 | 0.354754 |
import logging
import os
import re
from google.appengine.ext import ndb
from gae_libs import appengine_util
from libs import test_name_util
from libs import time_util
from model.flake.flake import Flake
from model.flake.flake import FlakeIssue
from model.test_inventory import LuciTest
from services import bigquery_h... | appengine/findit/services/disabled_tests/detect_disabled_tests.py |
import logging
import os
import re
from google.appengine.ext import ndb
from gae_libs import appengine_util
from libs import test_name_util
from libs import time_util
from model.flake.flake import Flake
from model.flake.flake import FlakeIssue
from model.test_inventory import LuciTest
from services import bigquery_h... | 0.63341 | 0.29724 |
from math import sin, cos, radians, degrees, acos
from django.views import generic
from django.shortcuts import render
from django.utils import timezone
from django.utils.decorators import method_decorator
from ..models import Event, User, NotificationEvent, UserNotification
from ..forms import EventForm
from .deco... | core/views/map_view.py | from math import sin, cos, radians, degrees, acos
from django.views import generic
from django.shortcuts import render
from django.utils import timezone
from django.utils.decorators import method_decorator
from ..models import Event, User, NotificationEvent, UserNotification
from ..forms import EventForm
from .deco... | 0.527073 | 0.129485 |
from __future__ import absolute_import, division, print_function
import sys
import os
import six
import subprocess
import json
import pyuvdata
from pyuvdata.data import DATA_PATH
def test_get_gitinfo_file():
pyuvdata_dir = os.path.dirname(os.path.dirname(os.path.realpath(__file__)))
git_file = os.path.join... | pyuvdata/tests/test_version.py | from __future__ import absolute_import, division, print_function
import sys
import os
import six
import subprocess
import json
import pyuvdata
from pyuvdata.data import DATA_PATH
def test_get_gitinfo_file():
pyuvdata_dir = os.path.dirname(os.path.dirname(os.path.realpath(__file__)))
git_file = os.path.join... | 0.377311 | 0.2083 |
from django.conf.urls import url
from .api.address_book.groups import (
AdminAddressBookGroups, AdminAddressBookGroup
)
from .api.group_libraries import AdminGroupLibraries, AdminGroupLibrary
from .api.group_owned_libraries import (
AdminGroupOwnedLibraries, AdminGroupOwnedLibrary
)
from .api.group_members im... | seahub/organizations/api_urls.py | from django.conf.urls import url
from .api.address_book.groups import (
AdminAddressBookGroups, AdminAddressBookGroup
)
from .api.group_libraries import AdminGroupLibraries, AdminGroupLibrary
from .api.group_owned_libraries import (
AdminGroupOwnedLibraries, AdminGroupOwnedLibrary
)
from .api.group_members im... | 0.157234 | 0.041269 |
from ASRModel import ASRModel
import os
class HMM(ASRModel):
# constructor
def __init__(self, model_id: str):
self.model_id = model_id
@staticmethod
def preprocess(audio_path):
"""
from an input path, load the single audio and return preprocessed audio
which will be ... | HMM.py | from ASRModel import ASRModel
import os
class HMM(ASRModel):
# constructor
def __init__(self, model_id: str):
self.model_id = model_id
@staticmethod
def preprocess(audio_path):
"""
from an input path, load the single audio and return preprocessed audio
which will be ... | 0.663887 | 0.449755 |
load("@io_bazel_rules_scala//scala:scala.bzl", upstream_scala_library = "scala_library", "scala_binary", "scala_test", "scala_repl")
_plugins = ["@org_spire_math_kind_projector_2_11//jar:file"]
def strict_scalacopts():
return [
"-Xfatal-warnings",
"-Xfuture",
"-Xlint",
"-Xlint:unsound-match", ... | tools/scala.bzl | load("@io_bazel_rules_scala//scala:scala.bzl", upstream_scala_library = "scala_library", "scala_binary", "scala_test", "scala_repl")
_plugins = ["@org_spire_math_kind_projector_2_11//jar:file"]
def strict_scalacopts():
return [
"-Xfatal-warnings",
"-Xfuture",
"-Xlint",
"-Xlint:unsound-match", ... | 0.593256 | 0.235647 |
import cv2 as cv
import numpy
import hashlib
import sys
import os.path
ColRange = 16
RowRange = 16
def hash(ID):
hash_method = hashlib.sha256()
hash_method.update(ID.encode('utf-8'))
binary = []
temp = []
result = []
str = hash_method.hexdigest()
for i in str:
if i >= '0' and i <... | waterMark/image_watermark.py | import cv2 as cv
import numpy
import hashlib
import sys
import os.path
ColRange = 16
RowRange = 16
def hash(ID):
hash_method = hashlib.sha256()
hash_method.update(ID.encode('utf-8'))
binary = []
temp = []
result = []
str = hash_method.hexdigest()
for i in str:
if i >= '0' and i <... | 0.151781 | 0.317638 |
from subprocess import Popen, PIPE, STDOUT
import sys
pomXml = """
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<groupId... | mirror.py | from subprocess import Popen, PIPE, STDOUT
import sys
pomXml = """
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<groupId... | 0.2676 | 0.125039 |
import numpy as np
import matplotlib.pyplot as plt
class Environment():
def actions(self):
raise NotImplementedError('Inheriting classes must override actions.')
def step(self):
raise NotImplementedError('Inheriting classes must override step')
class BanditEnv():
def __init__(self, choic... | MultiarmedBandit/jupyterCode.py | import numpy as np
import matplotlib.pyplot as plt
class Environment():
def actions(self):
raise NotImplementedError('Inheriting classes must override actions.')
def step(self):
raise NotImplementedError('Inheriting classes must override step')
class BanditEnv():
def __init__(self, choic... | 0.645567 | 0.461077 |
import argparse
import numpy as np
import pandas as pd
import os
import cv2
import tensorflow as tf
from tensorflow.contrib.tensorboard.plugins.projector import \
visualize_embeddings, ProjectorConfig
from os import path
def build_args(parser):
parser.add_argument(
"--in-npy",
type=str,
... | catalyst/contrib/scripts/project_embeddings.py | import argparse
import numpy as np
import pandas as pd
import os
import cv2
import tensorflow as tf
from tensorflow.contrib.tensorboard.plugins.projector import \
visualize_embeddings, ProjectorConfig
from os import path
def build_args(parser):
parser.add_argument(
"--in-npy",
type=str,
... | 0.71413 | 0.251401 |
import pandas as pd
import scanpy as sc
import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np
import statsmodels.api as sm
# Load count and alignment data and merge them into one annotated dataframe
adata = sc.read_h5ad(r"E:\Dropbox\Dropbox\01_SST Project_daniel\033_PatchSeq CA3 SO\transcriptomics\P... | archive/transcriptomics_interneuron_markers_tony.py | import pandas as pd
import scanpy as sc
import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np
import statsmodels.api as sm
# Load count and alignment data and merge them into one annotated dataframe
adata = sc.read_h5ad(r"E:\Dropbox\Dropbox\01_SST Project_daniel\033_PatchSeq CA3 SO\transcriptomics\P... | 0.622689 | 0.289775 |
import sys
from B1B0_fuel import Fuel
from B1B1_innergas import InnerGas
from B1B2_clad import Clad
#--------------------------------------------------------------------------------------------------
class FuelRod:
#----------------------------------------------------------------------------------------... | B1B_fuelrod.py | import sys
from B1B0_fuel import Fuel
from B1B1_innergas import InnerGas
from B1B2_clad import Clad
#--------------------------------------------------------------------------------------------------
class FuelRod:
#----------------------------------------------------------------------------------------... | 0.125279 | 0.173148 |
from model.virtual_board import VirtualBoard
from typing import Optional
import numpy as np
import chess
import chess.svg
import chess.pgn
import chess.polyglot
import chess.engine
import time
class Agent:
"""
Smart chess agent
"""
board: VirtualBoard = None
__current_board_state: np.array = None
__indexe... | src/model/agent.py | from model.virtual_board import VirtualBoard
from typing import Optional
import numpy as np
import chess
import chess.svg
import chess.pgn
import chess.polyglot
import chess.engine
import time
class Agent:
"""
Smart chess agent
"""
board: VirtualBoard = None
__current_board_state: np.array = None
__indexe... | 0.764188 | 0.204084 |
import datetime
import mock
from testify import TestCase, run, assert_equal, setup
from testify.assertions import assert_in
from tests.assertions import assert_raises
from tron.config import config_utils, ConfigError, schema
from tron.config.config_utils import build_list_of_type_validator, ConfigContext
from tron.conf... | tests/config/config_utils_test.py | import datetime
import mock
from testify import TestCase, run, assert_equal, setup
from testify.assertions import assert_in
from tests.assertions import assert_raises
from tron.config import config_utils, ConfigError, schema
from tron.config.config_utils import build_list_of_type_validator, ConfigContext
from tron.conf... | 0.599954 | 0.507019 |
from google.protobuf import text_format
from tensorflow.core.framework import op_def_pb2
from tensorflow.python.framework import op_def_registry
from tensorflow.python.framework import ops
from tensorflow.python.ops import op_def_library
def reduce_join(inputs, reduction_indices, keep_dims=None, separator=None,
... | tensorflow/python/ops/gen_string_ops.py | from google.protobuf import text_format
from tensorflow.core.framework import op_def_pb2
from tensorflow.python.framework import op_def_registry
from tensorflow.python.framework import ops
from tensorflow.python.ops import op_def_library
def reduce_join(inputs, reduction_indices, keep_dims=None, separator=None,
... | 0.888916 | 0.873593 |
import json
import os
from pattern import en as patten
from stanza.server import CoreNLPClient
from tqdm import tqdm
# Map to pattern.en aliases
# http://www.clips.ua.ac.be/pages/pattern-en#conjugation
POS_TO_PATTERN = {
'vb': 'inf', # Infinitive
'vbp': '1sg', # non-3rd-person singular present
... | qa2sent.py | import json
import os
from pattern import en as patten
from stanza.server import CoreNLPClient
from tqdm import tqdm
# Map to pattern.en aliases
# http://www.clips.ua.ac.be/pages/pattern-en#conjugation
POS_TO_PATTERN = {
'vb': 'inf', # Infinitive
'vbp': '1sg', # non-3rd-person singular present
... | 0.554953 | 0.160167 |
import pprint
import re
import six
class RenewalResourcesReq:
"""
Attributes:
openapi_types (dict): The key is attribute name
and the value is attribute type.
attribute_map (dict): The key is attribute name
and the value is json key in... | huaweicloud-sdk-bss/huaweicloudsdkbss/v2/model/renewal_resources_req.py |
import pprint
import re
import six
class RenewalResourcesReq:
"""
Attributes:
openapi_types (dict): The key is attribute name
and the value is attribute type.
attribute_map (dict): The key is attribute name
and the value is json key in... | 0.547948 | 0.294478 |
from __future__ import absolute_import, division, print_function
import mock
try:
import unittest2 as unittest
except ImportError:
import unittest
import pkg_resources
import begin
class TestSubCommand(unittest.TestCase):
def tearDown(self):
for collector in begin.subcommands.COLLECTORS.values... | tests/test_subcommands.py | from __future__ import absolute_import, division, print_function
import mock
try:
import unittest2 as unittest
except ImportError:
import unittest
import pkg_resources
import begin
class TestSubCommand(unittest.TestCase):
def tearDown(self):
for collector in begin.subcommands.COLLECTORS.values... | 0.506347 | 0.423637 |
import pytest
from deeprelnn.factory import ClauseFactory, VariableFactory
from deeprelnn.fol import Variable
def test_variable_factory_initia_variables():
factory = VariableFactory([Variable("A"), Variable("B")])
assert factory.variables == set(["A", "B"])
factory = VariableFactory([Variable("A"), Vari... | deeprelnn/test/test_factory.py | import pytest
from deeprelnn.factory import ClauseFactory, VariableFactory
from deeprelnn.fol import Variable
def test_variable_factory_initia_variables():
factory = VariableFactory([Variable("A"), Variable("B")])
assert factory.variables == set(["A", "B"])
factory = VariableFactory([Variable("A"), Vari... | 0.674694 | 0.521167 |
__revision__="$Id: digest_md5.py 703 2010-04-03 17:45:43Z jajcus $"
__docformat__="restructuredtext en"
from binascii import b2a_hex
import re
import logging
import hashlib
from pyxmpp.sasl.core import ClientAuthenticator,ServerAuthenticator
from pyxmpp.sasl.core import Failure,Response,Challenge,Success,Failure
fr... | digsby/lib/pyxmpp/sasl/digest_md5.py | __revision__="$Id: digest_md5.py 703 2010-04-03 17:45:43Z jajcus $"
__docformat__="restructuredtext en"
from binascii import b2a_hex
import re
import logging
import hashlib
from pyxmpp.sasl.core import ClientAuthenticator,ServerAuthenticator
from pyxmpp.sasl.core import Failure,Response,Challenge,Success,Failure
fr... | 0.811377 | 0.362405 |
import unittest
import mock
from azure.cli.core.util import CLIError
class Test_Network_Unit_Tests(unittest.TestCase):
def test_network_get_nic_ip_config(self):
from azure.cli.command_modules.network.custom import _get_nic_ip_config
# 1 - Test that if ip_configurations property is null, error... | src/command_modules/azure-cli-network/tests/test_network_unit_tests.py |
import unittest
import mock
from azure.cli.core.util import CLIError
class Test_Network_Unit_Tests(unittest.TestCase):
def test_network_get_nic_ip_config(self):
from azure.cli.command_modules.network.custom import _get_nic_ip_config
# 1 - Test that if ip_configurations property is null, error... | 0.642993 | 0.348174 |
def view(day, progress):
linksP = [[60,'<NAME>','https://www.linkedin.com/posts/rodneydaut_failuretosuccess-linkedin30daysprint-activity-6886695645353127936-sRQx'],[61,'<NAME>','https://www.linkedin.com/posts/roseyhwang_coaching-business-entrepreneurship-activity-6886698097083224064-Lvdi']]
linksC = [[60,'<NAM... | modal1.py | def view(day, progress):
linksP = [[60,'<NAME>','https://www.linkedin.com/posts/rodneydaut_failuretosuccess-linkedin30daysprint-activity-6886695645353127936-sRQx'],[61,'<NAME>','https://www.linkedin.com/posts/roseyhwang_coaching-business-entrepreneurship-activity-6886698097083224064-Lvdi']]
linksC = [[60,'<NAM... | 0.21101 | 0.393036 |
__all__ = ['shuffle_data', 'train_test_split', 'decode_audio', 'get_label', 'get_waveform_and_label', 'get_spectrogram',
'get_spectrogram_and_label_id_digits', 'get_spectrogram_and_label_id_letters',
'get_spectrogram_and_label_id_mixed', 'preprocess_dataset']
# Cell
from .fname_processing import... | car_speech/pipeline.py |
__all__ = ['shuffle_data', 'train_test_split', 'decode_audio', 'get_label', 'get_waveform_and_label', 'get_spectrogram',
'get_spectrogram_and_label_id_digits', 'get_spectrogram_and_label_id_letters',
'get_spectrogram_and_label_id_mixed', 'preprocess_dataset']
# Cell
from .fname_processing import... | 0.571767 | 0.457258 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from deepcell.datasets import Dataset
# pylint: disable=line-too-long
#:
nih_3t3 = Dataset(
path='3T3_NIH.trks',
url='https://deepcell-data.s3.amazonaws.com/tracked/3T3_NIH.trks',
file_hash='0d90... | deepcell/datasets/tracked.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from deepcell.datasets import Dataset
# pylint: disable=line-too-long
#:
nih_3t3 = Dataset(
path='3T3_NIH.trks',
url='https://deepcell-data.s3.amazonaws.com/tracked/3T3_NIH.trks',
file_hash='0d90... | 0.484624 | 0.244453 |
from typing import Tuple, Optional, Union, List, Type
import warnings
import numpy as np
import torch
from sklearn.model_selection import train_test_split
def num_classes_from_labels(labels: np.ndarray) -> int:
"""
Gets number of classes from labels (aka ground truth aka masks)
Args:
labels (num... | atomai/utils/preproc.py | from typing import Tuple, Optional, Union, List, Type
import warnings
import numpy as np
import torch
from sklearn.model_selection import train_test_split
def num_classes_from_labels(labels: np.ndarray) -> int:
"""
Gets number of classes from labels (aka ground truth aka masks)
Args:
labels (num... | 0.931181 | 0.83612 |
import os
from nipype.interfaces.afni.base import (AFNICommandBase,
AFNICommandOutputSpec,
isdefined)
from nipype.utils.filemanip import split_filename as split_f
from nipype.interfaces.base import (CommandLine, CommandLineInputSpec,
... | macapype/nodes/register.py | import os
from nipype.interfaces.afni.base import (AFNICommandBase,
AFNICommandOutputSpec,
isdefined)
from nipype.utils.filemanip import split_filename as split_f
from nipype.interfaces.base import (CommandLine, CommandLineInputSpec,
... | 0.489503 | 0.39321 |
from typing import NamedTuple
import cv2
import numpy as np
import tensorflow as tf
from .util import EventThread
class DetectedGrid(NamedTuple):
"""Detected object coordinate."""
xmin: int
xmax: int
ymin: int
ymax: int
def get(self):
return (self.xmin, self.xmax), (self.ymin, se... | tegaki/detect.py |
from typing import NamedTuple
import cv2
import numpy as np
import tensorflow as tf
from .util import EventThread
class DetectedGrid(NamedTuple):
"""Detected object coordinate."""
xmin: int
xmax: int
ymin: int
ymax: int
def get(self):
return (self.xmin, self.xmax), (self.ymin, se... | 0.936015 | 0.438966 |
import PyPDF2 as P
import os
dir_path = os.path.dirname(os.path.realpath(__file__))
def list_files(directory, extension):
return (f for f in os.listdir(directory) if f.endswith('.' + extension))
pdfs = list_files(dir_path, "pdf")
for pdf in pdfs:
reader = P.PdfFileReader(open(pdf,'rb'))
page... | format.py | import PyPDF2 as P
import os
dir_path = os.path.dirname(os.path.realpath(__file__))
def list_files(directory, extension):
return (f for f in os.listdir(directory) if f.endswith('.' + extension))
pdfs = list_files(dir_path, "pdf")
for pdf in pdfs:
reader = P.PdfFileReader(open(pdf,'rb'))
page... | 0.155142 | 0.080719 |
from CIM100.IEC61970.Base.Generation.GenerationDynamics.PrimeMover import PrimeMover
class HydroTurbine(PrimeMover):
"""A water driven prime mover. Typical turbine types are: Francis, Kaplan, and Pelton.A water driven prime mover. Typical turbine types are: Francis, Kaplan, and Pelton.
"""
def __init__(s... | CIM100/IEC61970/Base/Generation/GenerationDynamics/HydroTurbine.py |
from CIM100.IEC61970.Base.Generation.GenerationDynamics.PrimeMover import PrimeMover
class HydroTurbine(PrimeMover):
"""A water driven prime mover. Typical turbine types are: Francis, Kaplan, and Pelton.A water driven prime mover. Typical turbine types are: Francis, Kaplan, and Pelton.
"""
def __init__(s... | 0.879341 | 0.733416 |
import torch
import torch.nn as nn
from vq_modules import Encoder, Decoder
from vq_modules import VectorQuantizer2 as VectorQuantizer
class VQModel(nn.Module):
def __init__(self, ckpt_path=None):
super().__init__()
ddconfig = {'double_z': False, 'z_channels': 256, 'resolution': 256, 'in_c... | vq_f16.py | import torch
import torch.nn as nn
from vq_modules import Encoder, Decoder
from vq_modules import VectorQuantizer2 as VectorQuantizer
class VQModel(nn.Module):
def __init__(self, ckpt_path=None):
super().__init__()
ddconfig = {'double_z': False, 'z_channels': 256, 'resolution': 256, 'in_c... | 0.935553 | 0.280804 |
import collections
import copy
import inspect
import sys
import types
import typing
class Base:
"""Base class that is inherited by the majority of classes in River.
This base class allows us to handle the following tasks in a uniform manner:
- Getting and setting parameters.
- Displaying information... | river/base/base.py | import collections
import copy
import inspect
import sys
import types
import typing
class Base:
"""Base class that is inherited by the majority of classes in River.
This base class allows us to handle the following tasks in a uniform manner:
- Getting and setting parameters.
- Displaying information... | 0.76454 | 0.375449 |
# Re-code by <NAME>
# Source: https://github.com/fakhrirofi/twitter_autobase
from os.path import getsize
from requests import get, post
from time import sleep
from typing import NoReturn
import json
MEDIA_ENDPOINT_URL = 'https://upload.twitter.com/1.1/media/upload.json'
POST_TWEET_URL = 'https://api.twitter.com/1.1... | twitter_autobase/async_upload.py |
# Re-code by <NAME>
# Source: https://github.com/fakhrirofi/twitter_autobase
from os.path import getsize
from requests import get, post
from time import sleep
from typing import NoReturn
import json
MEDIA_ENDPOINT_URL = 'https://upload.twitter.com/1.1/media/upload.json'
POST_TWEET_URL = 'https://api.twitter.com/1.1... | 0.333503 | 0.085786 |
import py_cui
from typing import List
from py_cui import widget_set
class LocalPlayerSettingsMenu:
MENU_OPTIONS:List[str]=["Repeat All","Repeat","Shuffle","Block N|P key on repeat"]
TITLE:str="Player Settings"
ROW:int=4
COLUMN:int=0
ROW_SPAN:int=2
COLUMN_SPAN:int=2
window:py_cui.widget_s... | pymusicterm/ui/menus.py | import py_cui
from typing import List
from py_cui import widget_set
class LocalPlayerSettingsMenu:
MENU_OPTIONS:List[str]=["Repeat All","Repeat","Shuffle","Block N|P key on repeat"]
TITLE:str="Player Settings"
ROW:int=4
COLUMN:int=0
ROW_SPAN:int=2
COLUMN_SPAN:int=2
window:py_cui.widget_s... | 0.664758 | 0.060142 |
import os
import cherrypy
import pymongo
from go_game import GoGame
from go_board import GoBoard
webroot = os.getcwd() + '/webroot'
class GoApp( object ):
def __init__( self ):
try:
# Run "heroku config:get MONGO_URI" to acquire this URI. Being in plain text here, anyone could find it and c... | go_app.py |
import os
import cherrypy
import pymongo
from go_game import GoGame
from go_board import GoBoard
webroot = os.getcwd() + '/webroot'
class GoApp( object ):
def __init__( self ):
try:
# Run "heroku config:get MONGO_URI" to acquire this URI. Being in plain text here, anyone could find it and c... | 0.284179 | 0.055618 |
import os
from sahara.plugins import edp
from sahara.plugins import exceptions as ex
from sahara.plugins import utils as plugin_utils
from sahara_plugin_vanilla.i18n import _
from sahara_plugin_vanilla.plugins.vanilla import confighints_helper
from sahara_plugin_vanilla.plugins.vanilla.hadoop2 import edp_engine
from s... | sahara_plugin_vanilla/plugins/vanilla/v2_7_5/edp_engine.py | import os
from sahara.plugins import edp
from sahara.plugins import exceptions as ex
from sahara.plugins import utils as plugin_utils
from sahara_plugin_vanilla.i18n import _
from sahara_plugin_vanilla.plugins.vanilla import confighints_helper
from sahara_plugin_vanilla.plugins.vanilla.hadoop2 import edp_engine
from s... | 0.338624 | 0.084871 |
import gym
import ptan
import argparse
import random
import numpy as np
import torch
import torch.optim as optim
import torch.nn as nn
from ignite.engine import Engine
from .lib import dqn_model, common
NAME = "03_double"
STATES_TO_EVALUATE = 1000
EVAL_EVERY_FRAME = 100
def calc_loss_double_dqn(batch, net, tgt_ne... | Chapter08/03_dqn_double.py | import gym
import ptan
import argparse
import random
import numpy as np
import torch
import torch.optim as optim
import torch.nn as nn
from ignite.engine import Engine
from .lib import dqn_model, common
NAME = "03_double"
STATES_TO_EVALUATE = 1000
EVAL_EVERY_FRAME = 100
def calc_loss_double_dqn(batch, net, tgt_ne... | 0.80479 | 0.459986 |
import superimport
import numpy as np
import matplotlib.pyplot as plt
from sklearn.svm import SVC
from sklearn import datasets
from sklearn.datasets import make_moons
from sklearn.pipeline import Pipeline
from sklearn.preprocessing import PolynomialFeatures
from sklearn.preprocessing import StandardScaler
from skl... | scripts/svm_classifier_feature_scaling.py |
import superimport
import numpy as np
import matplotlib.pyplot as plt
from sklearn.svm import SVC
from sklearn import datasets
from sklearn.datasets import make_moons
from sklearn.pipeline import Pipeline
from sklearn.preprocessing import PolynomialFeatures
from sklearn.preprocessing import StandardScaler
from skl... | 0.686895 | 0.431704 |
import os
import boto3
from dagster import ModeDefinition, solid
from dagster.core.storage.file_cache import FSFileCache
from dagster.seven import mock
from dagster.utils.temp_file import get_temp_dir, get_temp_file_name
from dagster.utils.test import execute_solid
from dagster_aws.s3 import S3Coordinate
from moto imp... | examples/airline_demo/airline_demo_tests/unit_tests/testing_guide_tests/test_cache_file_from_s3_in_guide_step_three.py | import os
import boto3
from dagster import ModeDefinition, solid
from dagster.core.storage.file_cache import FSFileCache
from dagster.seven import mock
from dagster.utils.temp_file import get_temp_dir, get_temp_file_name
from dagster.utils.test import execute_solid
from dagster_aws.s3 import S3Coordinate
from moto imp... | 0.459076 | 0.19546 |
import typing
import asyncio
import pytest
import pyuavcan
from pyuavcan.transport.udp import UDPTransport
from pyuavcan.transport.redundant import RedundantTransport
from pyuavcan.presentation import Presentation
@pytest.mark.asyncio # type: ignore
async def _unittest_slow_node(generated_packages: typing.List[pyua... | tests/application/node.py |
import typing
import asyncio
import pytest
import pyuavcan
from pyuavcan.transport.udp import UDPTransport
from pyuavcan.transport.redundant import RedundantTransport
from pyuavcan.presentation import Presentation
@pytest.mark.asyncio # type: ignore
async def _unittest_slow_node(generated_packages: typing.List[pyua... | 0.570451 | 0.341665 |
import copy
import os
import json
import unicodecsv as csv
import codecs
from urllib2 import urlopen
from jinja2 import Environment, FileSystemLoader
CHINESE_WIKI_LANG = "zh"
SIMPLIFIED_CHINESE_LANG = "zh-hans"
TRADITIONAL_CHINESE_LANG = "zh-hant"
# Wikis that cause problems and hence we pretend
# do not exist.
# -... | scripts/make-templates.py |
import copy
import os
import json
import unicodecsv as csv
import codecs
from urllib2 import urlopen
from jinja2 import Environment, FileSystemLoader
CHINESE_WIKI_LANG = "zh"
SIMPLIFIED_CHINESE_LANG = "zh-hans"
TRADITIONAL_CHINESE_LANG = "zh-hant"
# Wikis that cause problems and hence we pretend
# do not exist.
# -... | 0.515376 | 0.182553 |
"""An example custom `te.core.Encoder` for `tff`."""
import tensorflow as tf
from tensorflow_model_optimization.python.core.internal import tensor_encoding as te
@te.core.tf_style_adaptive_encoding_stage
class OddEvenSparseEncodingStage(te.core.AdaptiveEncodingStageInterface):
"""An example custom implementation ... | tensorflow_federated/python/research/compression/sparsity.py | """An example custom `te.core.Encoder` for `tff`."""
import tensorflow as tf
from tensorflow_model_optimization.python.core.internal import tensor_encoding as te
@te.core.tf_style_adaptive_encoding_stage
class OddEvenSparseEncodingStage(te.core.AdaptiveEncodingStageInterface):
"""An example custom implementation ... | 0.943465 | 0.743517 |
from django.contrib import messages
from django.db.models import Q
from django.http import HttpResponseRedirect
from django.urls import reverse_lazy, reverse
from django.utils.translation import ugettext_lazy as _
from django.views.generic import ListView, DetailView, View, DeleteView
from django.views.generic.detail i... | oscar_docdata/dashboard/views.py | from django.contrib import messages
from django.db.models import Q
from django.http import HttpResponseRedirect
from django.urls import reverse_lazy, reverse
from django.utils.translation import ugettext_lazy as _
from django.views.generic import ListView, DetailView, View, DeleteView
from django.views.generic.detail i... | 0.438545 | 0.080357 |
from datetime import datetime
from nzbclients.nzbdrone.common import (
DiskSpaceSchema,
RootFolderSchema,
SystemStatusSchema,
)
def test_disk_space_serialization(disk_space_json):
schema = DiskSpaceSchema()
results = [schema.load(x) for x in disk_space_json]
assert len(results) == 1
asse... | tests/test_common.py | from datetime import datetime
from nzbclients.nzbdrone.common import (
DiskSpaceSchema,
RootFolderSchema,
SystemStatusSchema,
)
def test_disk_space_serialization(disk_space_json):
schema = DiskSpaceSchema()
results = [schema.load(x) for x in disk_space_json]
assert len(results) == 1
asse... | 0.724968 | 0.583856 |
import cv2
import numpy as np
from PIL import Image
import os
import imageio
def index(m, n):
if m >= 0 and m < n:
return m
elif m < 0:
return 0
elif m >= n:
return n-1
def make_palette(num_classes):
"""
Maps classes to colors in the style of PASCAL VOC.
Close ... | utils.py | import cv2
import numpy as np
from PIL import Image
import os
import imageio
def index(m, n):
if m >= 0 and m < n:
return m
elif m < 0:
return 0
elif m >= n:
return n-1
def make_palette(num_classes):
"""
Maps classes to colors in the style of PASCAL VOC.
Close ... | 0.582016 | 0.508239 |
import actionlib
import os
import rospy
from bitbots_msgs.msg import DynUpAction
from tf2_geometry_msgs import PoseStamped
from humanoid_league_msgs.msg import GameState, HeadMode, Strategy, TeamData,\
RobotControlState, PoseWithCertainty, PoseWithCertaintyArray
from move_base_msgs.msg import MoveBaseActionFeedback... | bitbots_body_behavior/src/bitbots_body_behavior/body_behavior.py | import actionlib
import os
import rospy
from bitbots_msgs.msg import DynUpAction
from tf2_geometry_msgs import PoseStamped
from humanoid_league_msgs.msg import GameState, HeadMode, Strategy, TeamData,\
RobotControlState, PoseWithCertainty, PoseWithCertaintyArray
from move_base_msgs.msg import MoveBaseActionFeedback... | 0.279927 | 0.091992 |
from . import DATASET_REGISTRY
from . import dataset_register, data_abspath
from . import Corpus, sanity_check
@dataset_register('iitb-hi-en', ['train', 'dev', 'test'])
def IITB_meta(split):
corpora = []
for lang in ['en', 'hi']:
sub_path = 'filtered-iitb/{}.{}'.format(split, lang)
corpus = Co... | fairseq/data/cvit/corpora.py | from . import DATASET_REGISTRY
from . import dataset_register, data_abspath
from . import Corpus, sanity_check
@dataset_register('iitb-hi-en', ['train', 'dev', 'test'])
def IITB_meta(split):
corpora = []
for lang in ['en', 'hi']:
sub_path = 'filtered-iitb/{}.{}'.format(split, lang)
corpus = Co... | 0.277571 | 0.199893 |
from __future__ import unicode_literals
from django.core.exceptions import ValidationError
from django.db import models
from django.db.models import Q
from django.utils.translation import ugettext_lazy as _
from ltrc.classes.manage_choices import year_choices
from ltrc.classes.manage_date import get_current_year
cl... | ltrc/registro/models.py | from __future__ import unicode_literals
from django.core.exceptions import ValidationError
from django.db import models
from django.db.models import Q
from django.utils.translation import ugettext_lazy as _
from ltrc.classes.manage_choices import year_choices
from ltrc.classes.manage_date import get_current_year
cl... | 0.483161 | 0.139191 |
from PyQt4 import QtCore, QtGui
import re
from selectLibraries import Ui_Libraries
from headerSelection import Ui_Header
from filterSelection import Ui_Filter
def selectLibraries(main,output_):
def emit(dialog,output_):
libraries = ','.join([str(main.ui.selected.item(i).text()) for i in range(main.ui.sel... | dialogs.py | from PyQt4 import QtCore, QtGui
import re
from selectLibraries import Ui_Libraries
from headerSelection import Ui_Header
from filterSelection import Ui_Filter
def selectLibraries(main,output_):
def emit(dialog,output_):
libraries = ','.join([str(main.ui.selected.item(i).text()) for i in range(main.ui.sel... | 0.203075 | 0.059537 |
import re
import urllib2
import socket
import subprocess
from urllib2 import HTTPError
from requests.exceptions import ConnectionError
# Libraries
from lib.core.dork_check import DorkScanner
from lib.core.errors import GoogleBlockException
from lib.core.hash_cracking import HashCracker
from lib.core.hash_cracking.hash... | lib/pointers.py | import re
import urllib2
import socket
import subprocess
from urllib2 import HTTPError
from requests.exceptions import ConnectionError
# Libraries
from lib.core.dork_check import DorkScanner
from lib.core.errors import GoogleBlockException
from lib.core.hash_cracking import HashCracker
from lib.core.hash_cracking.hash... | 0.314577 | 0.082994 |
"""Flags for commands that deal with the CRM API."""
from __future__ import absolute_import
from __future__ import division
from __future__ import unicode_literals
from googlecloudsdk.api_lib.resource_manager import exceptions
from googlecloudsdk.calliope import base
from googlecloudsdk.calliope import exceptions as ... | lib/googlecloudsdk/command_lib/resource_manager/flags.py | """Flags for commands that deal with the CRM API."""
from __future__ import absolute_import
from __future__ import division
from __future__ import unicode_literals
from googlecloudsdk.api_lib.resource_manager import exceptions
from googlecloudsdk.calliope import base
from googlecloudsdk.calliope import exceptions as ... | 0.680242 | 0.174621 |
from json import dumps, loads
from telebot.types import InlineKeyboardButton
import UI.buttons.confirm
import UI.misc
from Bot.util import save_confirm_message
def back(lang):
return InlineKeyboardButton(
UI.misc.messages[lang]['buttons']['common']['back'],
callback_data=dumps(dict(G='back'))
... | UI/buttons/common.py |
from json import dumps, loads
from telebot.types import InlineKeyboardButton
import UI.buttons.confirm
import UI.misc
from Bot.util import save_confirm_message
def back(lang):
return InlineKeyboardButton(
UI.misc.messages[lang]['buttons']['common']['back'],
callback_data=dumps(dict(G='back'))
... | 0.363195 | 0.275762 |
import pytest
from raiden.messages import (
decode,
Processed,
Ping,
)
from raiden.constants import UINT256_MAX, UINT64_MAX
from raiden.utils import sha3
from raiden.tests.utils.messages import (
make_direct_transfer,
make_mediated_transfer,
make_refund_transfer,
)
from raiden.tests.utils.facto... | raiden/tests/unit/test_binary_encoding.py | import pytest
from raiden.messages import (
decode,
Processed,
Ping,
)
from raiden.constants import UINT256_MAX, UINT64_MAX
from raiden.utils import sha3
from raiden.tests.utils.messages import (
make_direct_transfer,
make_mediated_transfer,
make_refund_transfer,
)
from raiden.tests.utils.facto... | 0.557845 | 0.358774 |
import logging
from ocs_ci.ocs import constants, defaults
from ocs_ci.ocs import exceptions
from ocs_ci.ocs.ocp import OCP
from ocs_ci.ocs.resources.ocs import OCS
from ocs_ci.utility.utils import TimeoutIterator
log = logging.getLogger(__name__)
def get_job_obj(name, namespace=defaults.ROOK_CLUSTER_NAMESPACE):
... | ocs_ci/ocs/resources/job.py | import logging
from ocs_ci.ocs import constants, defaults
from ocs_ci.ocs import exceptions
from ocs_ci.ocs.ocp import OCP
from ocs_ci.ocs.resources.ocs import OCS
from ocs_ci.utility.utils import TimeoutIterator
log = logging.getLogger(__name__)
def get_job_obj(name, namespace=defaults.ROOK_CLUSTER_NAMESPACE):
... | 0.68342 | 0.233521 |
from opentamiltests import *
import unittest
from solthiruthi.tamil99kbd import inv_confusion_matrix as ta_kbd_cm
from solthiruthi.qwertykbd import confusion_matrix as en_kbd_cm
from solthiruthi.typographical import oridam_generate_patterns, corrections
from solthiruthi.dictionary import DictionaryBuilder, TamilVU
DE... | tests/solthiruthi_typographical.py |
from opentamiltests import *
import unittest
from solthiruthi.tamil99kbd import inv_confusion_matrix as ta_kbd_cm
from solthiruthi.qwertykbd import confusion_matrix as en_kbd_cm
from solthiruthi.typographical import oridam_generate_patterns, corrections
from solthiruthi.dictionary import DictionaryBuilder, TamilVU
DE... | 0.47025 | 0.368633 |
import datetime
class qtime(object):
# Takes a time of either a datetime object or a string of format "HH:MM"
# (in 24-hour time), and optionally an "early" or "late" value of the same
# format, which simply substracts or adds to the time.
# Given both an early and a late value, the time will be rando... | web/qtime.py |
import datetime
class qtime(object):
# Takes a time of either a datetime object or a string of format "HH:MM"
# (in 24-hour time), and optionally an "early" or "late" value of the same
# format, which simply substracts or adds to the time.
# Given both an early and a late value, the time will be rando... | 0.797478 | 0.517022 |
import jax.numpy as np
from jax import grad, nn, random, jit
from jax.experimental import stax, optimizers
from jax.experimental.optimizers import l2_norm, clip_grads
from jax.numpy import linalg
from tqdm import tqdm
def predict(W, X):
"""Forward propagation for logistic regression."""
return nn.sigmoid(np.dot(X... | logistic_regression.py | import jax.numpy as np
from jax import grad, nn, random, jit
from jax.experimental import stax, optimizers
from jax.experimental.optimizers import l2_norm, clip_grads
from jax.numpy import linalg
from tqdm import tqdm
def predict(W, X):
"""Forward propagation for logistic regression."""
return nn.sigmoid(np.dot(X... | 0.901222 | 0.649356 |
import logging
from typing import List
from typing import Optional
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import DataLoader
from src.callbacks.base_callback import BaseCallback
from src.callbacks.early_stopping import EarlyStopping
from src.callbacks.save_checkpoints ... | src/trainer.py | import logging
from typing import List
from typing import Optional
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import DataLoader
from src.callbacks.base_callback import BaseCallback
from src.callbacks.early_stopping import EarlyStopping
from src.callbacks.save_checkpoints ... | 0.950469 | 0.228544 |
import serial
from serial import Serial
import re
import requests
import json
import time
import sys
ACCESS_TOKEN = '<KEY>'
HEADERS = {
'Content-Type': 'application/json',
'Authorization': 'Bearer {}'.format(ACCESS_TOKEN),
}
def Get_Temp_From_Atmega():
'''
params: None
Listen to the atmega for values,... | Code/ServerCode/serialConn.py | import serial
from serial import Serial
import re
import requests
import json
import time
import sys
ACCESS_TOKEN = '<KEY>'
HEADERS = {
'Content-Type': 'application/json',
'Authorization': 'Bearer {}'.format(ACCESS_TOKEN),
}
def Get_Temp_From_Atmega():
'''
params: None
Listen to the atmega for values,... | 0.288669 | 0.148263 |
import tensorflow as tf
import tensornet as tn
from common.config import Config as C
from common.layers import FMLayer
from common.feature_column import tn_category_columns_builder, embedding_columns_builder, create_emb_model
def create_sub_model(linear_embs, deep_embs, deep_hidden_units):
linear_emb_input_shape... | examples/models/wide_deep.py | import tensorflow as tf
import tensornet as tn
from common.config import Config as C
from common.layers import FMLayer
from common.feature_column import tn_category_columns_builder, embedding_columns_builder, create_emb_model
def create_sub_model(linear_embs, deep_embs, deep_hidden_units):
linear_emb_input_shape... | 0.765418 | 0.478163 |
import logging
from operator import attrgetter
import re
import shlex
import subprocess
import sys
from textwrap import fill
import time
from typing import List, Optional, Tuple
import click
from in_place import InPlace
from intspan import intspan
from jinja2 import Environment, PackageLoader
from linesep import split_... | src/pyrepo/util.py | import logging
from operator import attrgetter
import re
import shlex
import subprocess
import sys
from textwrap import fill
import time
from typing import List, Optional, Tuple
import click
from in_place import InPlace
from intspan import intspan
from jinja2 import Environment, PackageLoader
from linesep import split_... | 0.525125 | 0.234505 |
__all__ = [
'OnscreenText', 'Plain', 'ScreenTitle', 'ScreenPrompt', 'NameConfirm', 'BlackOnWhite']
from panda3d.core import *
import DirectGuiGlobals as DGG
from direct.showbase.DirectObject import DirectObject
import types
Plain = 1
ScreenTitle = 2
ScreenPrompt = 3
NameConfirm = 4
BlackOnWhite = 5
class OnscreenText... | direct/gui/OnscreenText.py | __all__ = [
'OnscreenText', 'Plain', 'ScreenTitle', 'ScreenPrompt', 'NameConfirm', 'BlackOnWhite']
from panda3d.core import *
import DirectGuiGlobals as DGG
from direct.showbase.DirectObject import DirectObject
import types
Plain = 1
ScreenTitle = 2
ScreenPrompt = 3
NameConfirm = 4
BlackOnWhite = 5
class OnscreenText... | 0.39222 | 0.186706 |
import os
import cv2
import filters
import numpy as np
import matplotlib.pyplot as plt
from managers import CaptureManager, WindowManager
class Cameo(object):
def __init__(self):
self.shootcount = 1
self.castcount = 1
self.mean = None
self.sigma = None
self._windowManager = WindowManager('REAL'... | cameo.py | import os
import cv2
import filters
import numpy as np
import matplotlib.pyplot as plt
from managers import CaptureManager, WindowManager
class Cameo(object):
def __init__(self):
self.shootcount = 1
self.castcount = 1
self.mean = None
self.sigma = None
self._windowManager = WindowManager('REAL'... | 0.126057 | 0.100481 |
import json
import re
import markdown2
import timeout_decorator
from .helper import reputation_to_score, calc_flag_weight
def make_index_config(type_name):
return {
'settings': {
'analysis': {
'analyzer': {
'index_analyzer': {
'toke... | post/es_helpers.py | import json
import re
import markdown2
import timeout_decorator
from .helper import reputation_to_score, calc_flag_weight
def make_index_config(type_name):
return {
'settings': {
'analysis': {
'analyzer': {
'index_analyzer': {
'toke... | 0.475849 | 0.235757 |
import re
import string
import types
from xen.xend import sxp
from xen.xend.XendError import VmError
from xen.xend.XendLogging import log
from xen.xend.server.DevController import DevController
from xen.xend.server.DevConstants import xenbusState
from xen.xend.xenstore.xstransact import xstransact
class VSCSIContro... | xen/xen-4.2.2/tools/python/xen/xend/server/vscsiif.py | import re
import string
import types
from xen.xend import sxp
from xen.xend.XendError import VmError
from xen.xend.XendLogging import log
from xen.xend.server.DevController import DevController
from xen.xend.server.DevConstants import xenbusState
from xen.xend.xenstore.xstransact import xstransact
class VSCSIContro... | 0.236076 | 0.059921 |
from tqdm import tqdm
import numpy as np
import os
import glob
from config import opt
import random
lfw_img_num = 18982
lfw_idx_num = 5749
lfw_data_dir = opt.lfw_data_dir + '/lfw/'
indices_all_file_path = 'dataset/lfw_all_indices.txt'
indices_trainval_file_path = 'dataset/lfw_trainval_indices.txt'
indices_test_file_... | create_lfw_dataset.py | from tqdm import tqdm
import numpy as np
import os
import glob
from config import opt
import random
lfw_img_num = 18982
lfw_idx_num = 5749
lfw_data_dir = opt.lfw_data_dir + '/lfw/'
indices_all_file_path = 'dataset/lfw_all_indices.txt'
indices_trainval_file_path = 'dataset/lfw_trainval_indices.txt'
indices_test_file_... | 0.112028 | 0.202128 |
import numpy as np
import tensorflow as tf
from sleap.nn.system import use_cpu_only
use_cpu_only() # hide GPUs for test
from sleap.nn.architectures import upsampling
from sleap.nn.architectures import resnet
from sleap.nn.config import ResNetConfig
class ResnetTests(tf.test.TestCase):
def test_resnet50(self):
... | tests/nn/architectures/test_resnet.py | import numpy as np
import tensorflow as tf
from sleap.nn.system import use_cpu_only
use_cpu_only() # hide GPUs for test
from sleap.nn.architectures import upsampling
from sleap.nn.architectures import resnet
from sleap.nn.config import ResNetConfig
class ResnetTests(tf.test.TestCase):
def test_resnet50(self):
... | 0.791176 | 0.477676 |
print("»» 1. AÑO BISIESTO")
def anho_bisiesto(anho):
if anho % 4 == 0:
if anho % 100 == 0:
if anho % 400 == 0:
txt = 'es'
else:
txt = 'no es'
else:
txt = 'es'
else:
txt = 'no es'
return txt
anho = int(input('Ing... | ejercitario.04.py | print("»» 1. AÑO BISIESTO")
def anho_bisiesto(anho):
if anho % 4 == 0:
if anho % 100 == 0:
if anho % 400 == 0:
txt = 'es'
else:
txt = 'no es'
else:
txt = 'es'
else:
txt = 'no es'
return txt
anho = int(input('Ing... | 0.084205 | 0.484258 |
import github3.gists
# Monkeypatch github3.gists.Gist to behave more like a repo
github3.gists.gist._Gist.ssh_url = property(lambda self: 'git@gist.github.com:/%s.git' % self.id)
github3.gists.gist._Gist.clone_url = property(lambda self: self.git_pull_url)
github3.gists.gist._Gist.git_url = property(lambda self: 'git:... | lib/gitspindle/monkey.py | import github3.gists
# Monkeypatch github3.gists.Gist to behave more like a repo
github3.gists.gist._Gist.ssh_url = property(lambda self: 'git@gist.github.com:/%s.git' % self.id)
github3.gists.gist._Gist.clone_url = property(lambda self: self.git_pull_url)
github3.gists.gist._Gist.git_url = property(lambda self: 'git:... | 0.312895 | 0.431764 |
from GameObject import *
import pygame
from Constants import IMAGE_BALLOON_PATH, ITEM_BALLOON_WIDTH, ITEM_BALLOON_HEIGHT, ITEM_BAR_WIDTH, ITEM_BRICKS_HEIGHT
class ItemBalloon(GameObject):
def __init__(self,gameObject):
super(GameObject, self).__init__()
pygame.sprite.Sprite.__init__(self) # call... | ItemBalloon.py | from GameObject import *
import pygame
from Constants import IMAGE_BALLOON_PATH, ITEM_BALLOON_WIDTH, ITEM_BALLOON_HEIGHT, ITEM_BAR_WIDTH, ITEM_BRICKS_HEIGHT
class ItemBalloon(GameObject):
def __init__(self,gameObject):
super(GameObject, self).__init__()
pygame.sprite.Sprite.__init__(self) # call... | 0.311636 | 0.264486 |
from time import time
from datetime import datetime, timedelta, tzinfo
from quip import QuipClient
class QuipClient4AHA(QuipClient):
"""A customized Quip client using Harry's token and dedicated for AHA Broadcast."""
AHABC_ID = "PCeAOAQx6sO"
DESKTOP_ID = "LHEAOAhm7YS" # Harry's private desktop.
KE... | quip4aha.py | from time import time
from datetime import datetime, timedelta, tzinfo
from quip import QuipClient
class QuipClient4AHA(QuipClient):
"""A customized Quip client using Harry's token and dedicated for AHA Broadcast."""
AHABC_ID = "PCeAOAQx6sO"
DESKTOP_ID = "LHEAOAhm7YS" # Harry's private desktop.
KE... | 0.52342 | 0.245006 |
from django.contrib.auth.backends import ModelBackend
from django.contrib.auth import get_user_model
from django_otp import user_has_device
from .models import RememberDeviceCookie
from .utils import get_custom_auth
UserModel = get_user_model()
class CookieBackend(ModelBackend):
part_login_key = 'part_login'
... | modal_2fa/backends.py | from django.contrib.auth.backends import ModelBackend
from django.contrib.auth import get_user_model
from django_otp import user_has_device
from .models import RememberDeviceCookie
from .utils import get_custom_auth
UserModel = get_user_model()
class CookieBackend(ModelBackend):
part_login_key = 'part_login'
... | 0.391755 | 0.04952 |
load("@bazel_skylib//lib:unittest.bzl", "analysistest", "asserts")
load(
"//rs_bindings_from_cc/bazel_support:rust_bindings_from_cc_aspect.bzl",
"rust_bindings_from_cc_aspect",
)
load(
"//rs_bindings_from_cc/bazel_support:rust_bindings_from_cc_utils.bzl",
"RustBindingsFromCcInfo",
)
ActionsInfo = provi... | rs_bindings_from_cc/test/bazel_unit_tests/headers_and_targets/rust_bindings_from_cc_aspect_test.bzl | load("@bazel_skylib//lib:unittest.bzl", "analysistest", "asserts")
load(
"//rs_bindings_from_cc/bazel_support:rust_bindings_from_cc_aspect.bzl",
"rust_bindings_from_cc_aspect",
)
load(
"//rs_bindings_from_cc/bazel_support:rust_bindings_from_cc_utils.bzl",
"RustBindingsFromCcInfo",
)
ActionsInfo = provi... | 0.652795 | 0.36139 |
"""Implement several encoder classes"""
from keras.applications.resnet50 import ResNet50, preprocess_input as preprocess_resnet, decode_predictions
from keras.applications.inception_v3 import InceptionV3, preprocess_input as preprocess_inception
from keras.applications.vgg16 import VGG16, preprocess_input as preproces... | models.py | """Implement several encoder classes"""
from keras.applications.resnet50 import ResNet50, preprocess_input as preprocess_resnet, decode_predictions
from keras.applications.inception_v3 import InceptionV3, preprocess_input as preprocess_inception
from keras.applications.vgg16 import VGG16, preprocess_input as preproces... | 0.94338 | 0.327077 |
from nose.tools import *
from dateutil.parser import parse as time_parse
import yawhois
class TestWhoisRrpproxyNetStatusRegistered(object):
def setUp(self):
fixture_path = "spec/fixtures/responses/whois.rrpproxy.net/status_registered.txt"
host = "whois.rrpproxy.net"
part =... | test/record/parser/test_response_whois_rrpproxy_net_status_registered.py |
from nose.tools import *
from dateutil.parser import parse as time_parse
import yawhois
class TestWhoisRrpproxyNetStatusRegistered(object):
def setUp(self):
fixture_path = "spec/fixtures/responses/whois.rrpproxy.net/status_registered.txt"
host = "whois.rrpproxy.net"
part =... | 0.468791 | 0.141045 |
from functools import reduce
import numpy as np
from scipy.stats import multinomial
from ssrm_test import ssrm_test as st
class SSRMSuite:
def setup(self):
self.intended_p_alloc = [0.1, 0.5, 0.4]
self.actual_p_alloc = [0.1, 0.49, 0.41]
self.n = 1000
self.alpha = 0.01
self.... | benchmarks/benchmarks/bench_ssrm.py | from functools import reduce
import numpy as np
from scipy.stats import multinomial
from ssrm_test import ssrm_test as st
class SSRMSuite:
def setup(self):
self.intended_p_alloc = [0.1, 0.5, 0.4]
self.actual_p_alloc = [0.1, 0.49, 0.41]
self.n = 1000
self.alpha = 0.01
self.... | 0.774754 | 0.323554 |
# standard library
from enum import Enum
# first-party
from tcex.api.tc.v3.api_endpoints import ApiEndpoints
from tcex.api.tc.v3.filter_abc import FilterABC
from tcex.api.tc.v3.tql.tql_type import TqlType
class OwnerFilter(FilterABC):
"""Filter Object for Owners"""
@property
def _api_endpoint(self) -> s... | tcex/api/tc/v3/security/owners/owner_filter.py | # standard library
from enum import Enum
# first-party
from tcex.api.tc.v3.api_endpoints import ApiEndpoints
from tcex.api.tc.v3.filter_abc import FilterABC
from tcex.api.tc.v3.tql.tql_type import TqlType
class OwnerFilter(FilterABC):
"""Filter Object for Owners"""
@property
def _api_endpoint(self) -> s... | 0.923316 | 0.267845 |
import pytest
from memo import memlist, Runner, grid
@pytest.mark.parametrize(
"kw",
[{"backend": "loky"}, {"backend": "threading"}, {"backend": "multiprocessing"}],
)
def test_base_multiple_calls(kw):
data = []
g = [{"a": 1}] * 100
@memlist(data=data)
def count_values(n_jobs=-1, **kwargs):
... | tests/test_runner.py | import pytest
from memo import memlist, Runner, grid
@pytest.mark.parametrize(
"kw",
[{"backend": "loky"}, {"backend": "threading"}, {"backend": "multiprocessing"}],
)
def test_base_multiple_calls(kw):
data = []
g = [{"a": 1}] * 100
@memlist(data=data)
def count_values(n_jobs=-1, **kwargs):
... | 0.512205 | 0.485356 |
from absl import app
from absl import flags
from fontTools.ttLib import TTFont
from gftools import fonts_public_pb2
from gftools.util import google_fonts as fonts
from gftools.util import unicode_sections
from google.protobuf import text_format
import csv
import glob
import os
import re
FLAGS = flags.FLAGS
flags.DEFIN... | bin/gftools-add-glyphs.py | from absl import app
from absl import flags
from fontTools.ttLib import TTFont
from gftools import fonts_public_pb2
from gftools.util import google_fonts as fonts
from gftools.util import unicode_sections
from google.protobuf import text_format
import csv
import glob
import os
import re
FLAGS = flags.FLAGS
flags.DEFIN... | 0.434941 | 0.140189 |
__author__ = "<NAME>"
__email__ = "<EMAIL>"
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
import sys
import time
from datetime import datetime
from datetime import date
import calendar
import math
class bcolors:
RED = "\033[1;31m"
BLUE = "\033[1;34m"
CYAN = "\033[1;36m"
... | python/khomp/banco_de_horas.py | __author__ = "<NAME>"
__email__ = "<EMAIL>"
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
import sys
import time
from datetime import datetime
from datetime import date
import calendar
import math
class bcolors:
RED = "\033[1;31m"
BLUE = "\033[1;34m"
CYAN = "\033[1;36m"
... | 0.29381 | 0.099733 |
"""Utility to manipulate resource variables."""
from tensorflow.python.framework import composite_tensor
from tensorflow.python.framework import ops
from tensorflow.python.util import _pywrap_utils
from tensorflow.python.util import nest
def convert_variables_to_tensors(values):
"""Converts `ResourceVariable`s in ... | tensorflow/python/util/variable_utils.py | """Utility to manipulate resource variables."""
from tensorflow.python.framework import composite_tensor
from tensorflow.python.framework import ops
from tensorflow.python.util import _pywrap_utils
from tensorflow.python.util import nest
def convert_variables_to_tensors(values):
"""Converts `ResourceVariable`s in ... | 0.955475 | 0.640804 |
from flask import Flask, render_template, request, redirect
from sklearn.pipeline import Pipeline
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.feature_extraction.text import TfidfTransformer
from sklearn.linear_model import LogisticRegression
from sklearn.externals import joblib
from bokeh.e... | Machine Learning/Consumer Complaint Classification/web app/app.py | from flask import Flask, render_template, request, redirect
from sklearn.pipeline import Pipeline
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.feature_extraction.text import TfidfTransformer
from sklearn.linear_model import LogisticRegression
from sklearn.externals import joblib
from bokeh.e... | 0.55929 | 0.095941 |
from math import log2
import json
import pandas
from pandas import DataFrame
def probe(func):
name = func.__name__.strip("calc")
def wrapper(*args, **kwargs):
result = func(*args, **kwargs)
if len(args) >= 2:
print(f"${name}(D, \\text{'{'}{args[1]}{'}'}) = {result:.3f}$")
... | ML/Ml.py/decision_tree.py | from math import log2
import json
import pandas
from pandas import DataFrame
def probe(func):
name = func.__name__.strip("calc")
def wrapper(*args, **kwargs):
result = func(*args, **kwargs)
if len(args) >= 2:
print(f"${name}(D, \\text{'{'}{args[1]}{'}'}) = {result:.3f}$")
... | 0.519521 | 0.622717 |
from amqplib import client_0_8 as amqp
class BaseAMQPConnection(object):
virtual_host = "/"
port = 5672
insist = False
def __init__(self, hostname, userid, password,
virtual_host=None, port=None, **kwargs):
self.hostname = hostname
self.userid = userid
self.passwor... | carrot/connection.py | from amqplib import client_0_8 as amqp
class BaseAMQPConnection(object):
virtual_host = "/"
port = 5672
insist = False
def __init__(self, hostname, userid, password,
virtual_host=None, port=None, **kwargs):
self.hostname = hostname
self.userid = userid
self.passwor... | 0.624064 | 0.068662 |
from puzzle_generator import PuzzleGenerator
from typing import List
# See https://github.com/microsoft/PythonProgrammingPuzzles/wiki/How-to-add-a-puzzle to learn about adding puzzles
class BirthdayParadox(PuzzleGenerator):
"""
Adaptation of the classic
[Birthday Problem](https://en.wikipedia.org/wiki/... | generators/probability.py |
from puzzle_generator import PuzzleGenerator
from typing import List
# See https://github.com/microsoft/PythonProgrammingPuzzles/wiki/How-to-add-a-puzzle to learn about adding puzzles
class BirthdayParadox(PuzzleGenerator):
"""
Adaptation of the classic
[Birthday Problem](https://en.wikipedia.org/wiki/... | 0.815563 | 0.734381 |
import numpy as np
from .box import Box
class Question:
"""Models a question in a form.
Attributes
----------
title : str
The title of the question.
answers : list
The possible answers for each box.
coords : list
The list of the coordinates of the cente... | survey/question.py | import numpy as np
from .box import Box
class Question:
"""Models a question in a form.
Attributes
----------
title : str
The title of the question.
answers : list
The possible answers for each box.
coords : list
The list of the coordinates of the cente... | 0.877667 | 0.611034 |
from sympy.functions import sqrt, sign
from sympy.core import S, Wild, Rational, sympify
def sqrtdenest (expr):
"""
Denests an expression that contains nested square roots.
This algorithm is based on <http://www.almaden.ibm.com/cs/people/fagin/symb85.pdf>.
"""
expr = sympify(expr)
if expr.is_Po... | sympy/simplify/sqrtdenest.py | from sympy.functions import sqrt, sign
from sympy.core import S, Wild, Rational, sympify
def sqrtdenest (expr):
"""
Denests an expression that contains nested square roots.
This algorithm is based on <http://www.almaden.ibm.com/cs/people/fagin/symb85.pdf>.
"""
expr = sympify(expr)
if expr.is_Po... | 0.553747 | 0.670718 |
from password import User
import pyperclip
def create_account(user_name,email,password):
'''
Function to create a new account
'''
new_account = User(user_name,email,password)
return new_account
def save_accounts(account):
'''
Function to save accountt
'''
account.save_account()
def d... | run.py | from password import User
import pyperclip
def create_account(user_name,email,password):
'''
Function to create a new account
'''
new_account = User(user_name,email,password)
return new_account
def save_accounts(account):
'''
Function to save accountt
'''
account.save_account()
def d... | 0.154983 | 0.1798 |
from pythran.tests import TestEnv
from pythran.syntax import PythranSyntaxError
class TestNamedParameters(TestEnv):
def test_call_with_named_argument(self):
self.run_test("""
def foo(a):
return a
def call_with_named_argument(n):
return foo(a=n)""", 1, call_with_named_argument=[int])
def test_... | pythran/tests/test_named_parameters.py | from pythran.tests import TestEnv
from pythran.syntax import PythranSyntaxError
class TestNamedParameters(TestEnv):
def test_call_with_named_argument(self):
self.run_test("""
def foo(a):
return a
def call_with_named_argument(n):
return foo(a=n)""", 1, call_with_named_argument=[int])
def test_... | 0.674372 | 0.434821 |
from msrest.serialization import Model
class X12FramingSettings(Model):
"""The X12 agreement framing settings.
All required parameters must be populated in order to send to Azure.
:param data_element_separator: Required. The data element separator.
:type data_element_separator: int
:param compo... | azure-mgmt-logic/azure/mgmt/logic/models/x12_framing_settings_py3.py |
from msrest.serialization import Model
class X12FramingSettings(Model):
"""The X12 agreement framing settings.
All required parameters must be populated in order to send to Azure.
:param data_element_separator: Required. The data element separator.
:type data_element_separator: int
:param compo... | 0.912473 | 0.398758 |
import time
import tensorflow as tf
import scipy.io as sio
import os
flags = tf.app.flags
FLAGS = flags.FLAGS
flags.DEFINE_integer('num_evecs', 120,
'number of eigenvectors used for representation. The first 500 are precomputed and stored in input')
flags.DEFINE_string('test_shapes_dir', './faust_synthetic/netw... | Learning Correspondence of Synthetic Shapes/test_FMnet_unsupervised.py | import time
import tensorflow as tf
import scipy.io as sio
import os
flags = tf.app.flags
FLAGS = flags.FLAGS
flags.DEFINE_integer('num_evecs', 120,
'number of eigenvectors used for representation. The first 500 are precomputed and stored in input')
flags.DEFINE_string('test_shapes_dir', './faust_synthetic/netw... | 0.310485 | 0.24629 |
from tqdm import tqdm
from sklearn.feature_extraction.image import extract_patches
import numpy as np
def array_normalization(X,M=None,norm=0):
"""Normalization for image regression
Inputs :
X : array of data
M : array of mask used to compute normalization parameters
Outputs :
X : normaliz... | AnkleSegmentation/extract_slices.py | from tqdm import tqdm
from sklearn.feature_extraction.image import extract_patches
import numpy as np
def array_normalization(X,M=None,norm=0):
"""Normalization for image regression
Inputs :
X : array of data
M : array of mask used to compute normalization parameters
Outputs :
X : normaliz... | 0.493409 | 0.539529 |
import os
import shutil
import photohandler as PH
from operator import itemgetter
FOLDERSONLY=True
DEBUG=True
defaultpath=""
NAME=0
DATE=1
class FileList:
def __init__(self,folder):
"""Class constructor"""
self.folder=folder
self.listFileDates()
def getPhotoNamedates(self):
"""returns the list of... | Chapter03/filehandler.py | import os
import shutil
import photohandler as PH
from operator import itemgetter
FOLDERSONLY=True
DEBUG=True
defaultpath=""
NAME=0
DATE=1
class FileList:
def __init__(self,folder):
"""Class constructor"""
self.folder=folder
self.listFileDates()
def getPhotoNamedates(self):
"""returns the list of... | 0.315103 | 0.093719 |
"""generated automatically by auto_dao.py"""
from __future__ import division
from vistrails.db.versions.v0_3_0.persistence.xml.xml_dao import XMLDAO
from vistrails.db.versions.v0_3_0.domain.auto_gen import *
class DBChangeParameterXMLDAOBase(XMLDAO):
def __init__(self, daoList):
self.daoList = daoList
... | vistrails/db/versions/v0_3_0/persistence/xml/auto_gen.py |
"""generated automatically by auto_dao.py"""
from __future__ import division
from vistrails.db.versions.v0_3_0.persistence.xml.xml_dao import XMLDAO
from vistrails.db.versions.v0_3_0.domain.auto_gen import *
class DBChangeParameterXMLDAOBase(XMLDAO):
def __init__(self, daoList):
self.daoList = daoList
... | 0.601008 | 0.071364 |
import numpy
from PIL import Image
from contextlib import contextmanager
@contextmanager
def acquire_and_normalise(filename, display_panel_controller, background_colour=-1, rotate_count=0):
"""
Reads in input image, and converts to correct size. Adds a border if necessary.
:param filename: path to imag... | pyepd/ImageHandler.py |
import numpy
from PIL import Image
from contextlib import contextmanager
@contextmanager
def acquire_and_normalise(filename, display_panel_controller, background_colour=-1, rotate_count=0):
"""
Reads in input image, and converts to correct size. Adds a border if necessary.
:param filename: path to imag... | 0.802942 | 0.498169 |
from typing import List, Optional
from .data import (
MappedEvents,
LinkHandlerData,
)
from .link import (
EventLinkStart,
)
from ..lifecycle.listener_set import ListenerSet
from ...base import (
EventBus,
EventId,
ParticipantId,
TARGET_WILDCARD,
as_request_dispose_listener,
send_d... | src/petronia/aid/event_chain/owner.py |
from typing import List, Optional
from .data import (
MappedEvents,
LinkHandlerData,
)
from .link import (
EventLinkStart,
)
from ..lifecycle.listener_set import ListenerSet
from ...base import (
EventBus,
EventId,
ParticipantId,
TARGET_WILDCARD,
as_request_dispose_listener,
send_d... | 0.701509 | 0.206294 |
from mock import (
patch, call, MagicMock, ANY
)
from test_utils import (
CharmTestCase,
)
from charmhelpers.contrib.openstack.ip import PUBLIC
with patch('charmhelpers.contrib.hardening.harden.harden') as mock_dec:
mock_dec.side_effect = (lambda *dargs, **dkwargs: lambda f:
l... | unit_tests/test_hooks.py |
from mock import (
patch, call, MagicMock, ANY
)
from test_utils import (
CharmTestCase,
)
from charmhelpers.contrib.openstack.ip import PUBLIC
with patch('charmhelpers.contrib.hardening.harden.harden') as mock_dec:
mock_dec.side_effect = (lambda *dargs, **dkwargs: lambda f:
l... | 0.61115 | 0.212784 |
import roslib; roslib.load_manifest('smacha')
import rospy
import smach
import smach_ros
from actionlib import *
from actionlib_msgs.msg import *
# Create a trivial action server
class TestServer:
def __init__(self,name):
self._sas = SimpleActionServer(name,
TestAction,
exe... | smacha/test/executive_smach_tutorials/smach_tutorials/examples/actionlib_test.py | import roslib; roslib.load_manifest('smacha')
import rospy
import smach
import smach_ros
from actionlib import *
from actionlib_msgs.msg import *
# Create a trivial action server
class TestServer:
def __init__(self,name):
self._sas = SimpleActionServer(name,
TestAction,
exe... | 0.425844 | 0.168344 |