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 time
import json
from .base import PublisherBase, to_float, to_str, arr_to_bytearray
from .topic import pub_tub_json_topic, pub_tub_image_topic, pub_tub_fwd_image_topic
class UserPublisher(PublisherBase):
"""
Tubデータ(辞書型、手動運転データのみ)をAWS IoT CoreへPublishするパーツクラス。
"""
def __init__(self, aws_iot_clie... | parts/broker/pub/tub.py | import time
import json
from .base import PublisherBase, to_float, to_str, arr_to_bytearray
from .topic import pub_tub_json_topic, pub_tub_image_topic, pub_tub_fwd_image_topic
class UserPublisher(PublisherBase):
"""
Tubデータ(辞書型、手動運転データのみ)をAWS IoT CoreへPublishするパーツクラス。
"""
def __init__(self, aws_iot_clie... | 0.318909 | 0.105211 |
from abc import ABCMeta, abstractmethod
from weightmass import WeightMass
from vendor.HoeffdingTree.core import utils
class HNode(object):
__metaclass__ = ABCMeta
"""Base for the Hoeffding Tree nodes.
Args:
class_distribution (dict): The class distribution used to create the node. (default None)
... | vendor/HoeffdingTree/ht/hnode.py | from abc import ABCMeta, abstractmethod
from weightmass import WeightMass
from vendor.HoeffdingTree.core import utils
class HNode(object):
__metaclass__ = ABCMeta
"""Base for the Hoeffding Tree nodes.
Args:
class_distribution (dict): The class distribution used to create the node. (default None)
... | 0.808219 | 0.220825 |
import time
import torch
import networkx as nx
from torch.nn import Linear
from torch_geometric.nn import GCNConv
from torch_geometric.datasets import KarateClub
from torch_geometric.utils import to_networkx
# Helper function for visualization.
import matplotlib.pyplot as plt
# Visualization function for NX graph or ... | code/gcn_karateclub.py | import time
import torch
import networkx as nx
from torch.nn import Linear
from torch_geometric.nn import GCNConv
from torch_geometric.datasets import KarateClub
from torch_geometric.utils import to_networkx
# Helper function for visualization.
import matplotlib.pyplot as plt
# Visualization function for NX graph or ... | 0.951448 | 0.626096 |
from unittest import TestCase
import gym
import numpy as np
import copy
from auto_rl.learning.ppo import PPO
from auto_rl.learning.policy import MLPActorCritic
from auto_rl.utils.torch import validate_state_dicts
class TestPPO(TestCase):
def __init__(self, *args, **kwargs):
super(TestPPO, self).__init__(... | algorithms/refactor/tests/learning/test_ppo.py | from unittest import TestCase
import gym
import numpy as np
import copy
from auto_rl.learning.ppo import PPO
from auto_rl.learning.policy import MLPActorCritic
from auto_rl.utils.torch import validate_state_dicts
class TestPPO(TestCase):
def __init__(self, *args, **kwargs):
super(TestPPO, self).__init__(... | 0.83901 | 0.526221 |
from dataclasses import dataclass, replace
from typing import Type
import numpy as np
from numpy import ndarray
from ..element import Element, ElementHex1
from .mesh_3d import Mesh3D
from .mesh_tet_1 import MeshTet1
@dataclass(repr=False)
class MeshHex1(Mesh3D):
"""A standard first-order hexahedral mesh.
I... | skfem/mesh/mesh_hex_1.py | from dataclasses import dataclass, replace
from typing import Type
import numpy as np
from numpy import ndarray
from ..element import Element, ElementHex1
from .mesh_3d import Mesh3D
from .mesh_tet_1 import MeshTet1
@dataclass(repr=False)
class MeshHex1(Mesh3D):
"""A standard first-order hexahedral mesh.
I... | 0.884688 | 0.693719 |
from __future__ import division
from iotbx.pdb.multimer_reconstruction import multimer
import mmtbx.refinement.minimization_ncs_constraints
import mmtbx.monomer_library.pdb_interpretation
from scitbx.array_family import flex
import mmtbx.monomer_library.server
from libtbx import adopt_init_args
from libtbx.utils import... | work/NCS/test_files/test_2qzv.py | from __future__ import division
from iotbx.pdb.multimer_reconstruction import multimer
import mmtbx.refinement.minimization_ncs_constraints
import mmtbx.monomer_library.pdb_interpretation
from scitbx.array_family import flex
import mmtbx.monomer_library.server
from libtbx import adopt_init_args
from libtbx.utils import... | 0.338077 | 0.191233 |
import logging
import uuid
from enum import Enum
import attr
import cattr
from attr.validators import in_
from retry import retry
from metadata.exc import ERPError, ERPParamsError
from metadata.runtime import rt_context, rt_local
from metadata.type_system.core import MetaData, parse_list_type
from metadata.util.commo... | src/datamgr/metadata/metadata/backend/erp/functions.py | import logging
import uuid
from enum import Enum
import attr
import cattr
from attr.validators import in_
from retry import retry
from metadata.exc import ERPError, ERPParamsError
from metadata.runtime import rt_context, rt_local
from metadata.type_system.core import MetaData, parse_list_type
from metadata.util.commo... | 0.439386 | 0.094971 |
import app.preprocessing as preprocessing
import app.text_detection as text_detection
import app.text_recognition as text_recognition
import app.post_proccess as post_process
import app.util as util
import cv2
import os
import pathlib
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
# High = Less boxes... | app.py | import app.preprocessing as preprocessing
import app.text_detection as text_detection
import app.text_recognition as text_recognition
import app.post_proccess as post_process
import app.util as util
import cv2
import os
import pathlib
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
# High = Less boxes... | 0.1844 | 0.230411 |
import os
import volatility.obj as obj
import volatility.debug as debug
import volatility.plugins.linux.common as linux_common
import volatility.plugins.linux.find_file as linux_find_file
class linux_recover_filesystem(linux_common.AbstractLinuxCommand):
"""Recovers the entire cached file system from memory"""
... | volatility/volatility/plugins/linux/recover_filesystem.py | import os
import volatility.obj as obj
import volatility.debug as debug
import volatility.plugins.linux.common as linux_common
import volatility.plugins.linux.find_file as linux_find_file
class linux_recover_filesystem(linux_common.AbstractLinuxCommand):
"""Recovers the entire cached file system from memory"""
... | 0.309963 | 0.081119 |
import os
import nltk
import codecs
import logging
import numpy as np
from scipy.ndimage import convolve1d
from util import get_lds_kernel_window, STSShotAverage
def process_sentence(sent, max_seq_len):
'''process a sentence using NLTK toolkit'''
return nltk.word_tokenize(sent)[:max_seq_len]
def load_tsv(data... | sts-b-dir/tasks.py | import os
import nltk
import codecs
import logging
import numpy as np
from scipy.ndimage import convolve1d
from util import get_lds_kernel_window, STSShotAverage
def process_sentence(sent, max_seq_len):
'''process a sentence using NLTK toolkit'''
return nltk.word_tokenize(sent)[:max_seq_len]
def load_tsv(data... | 0.394901 | 0.3295 |
import logging
import signal
from abc import ABCMeta, abstractmethod
from contextlib import contextmanager
from botocore.vendored import requests
from exceptions import InvalidRequestType, TimeoutError
from response import Response
class Agent(object):
"""Base class that should be inherited from your CustomAgen... | customs_agent/agent.py | import logging
import signal
from abc import ABCMeta, abstractmethod
from contextlib import contextmanager
from botocore.vendored import requests
from exceptions import InvalidRequestType, TimeoutError
from response import Response
class Agent(object):
"""Base class that should be inherited from your CustomAgen... | 0.703957 | 0.100834 |
import pandas as pd
from sklearn.preprocessing import LabelEncoder
from sklearn.model_selection import StratifiedShuffleSplit
from keras.models import Sequential
from keras.layers import Dense
from keras.utils import np_utils
train = pd.read_csv('E:/Pro/python_proj/python_proj/WAND_Release/1D_CNN/dataset/100train.c... | Software/Python_Scripts/1D_CNN_Trainning/Model_Compile/1D_CNN.py | import pandas as pd
from sklearn.preprocessing import LabelEncoder
from sklearn.model_selection import StratifiedShuffleSplit
from keras.models import Sequential
from keras.layers import Dense
from keras.utils import np_utils
train = pd.read_csv('E:/Pro/python_proj/python_proj/WAND_Release/1D_CNN/dataset/100train.c... | 0.45302 | 0.422326 |
from django.dispatch import receiver
from django.db.models.signals import post_delete, pre_delete
from builtins import str
from builtins import zip
from builtins import object
from django.utils.translation import gettext_lazy as _
from future.utils import python_2_unicode_compatible
from bluebottle.fsm.state import ... | bluebottle/fsm/triggers.py | from django.dispatch import receiver
from django.db.models.signals import post_delete, pre_delete
from builtins import str
from builtins import zip
from builtins import object
from django.utils.translation import gettext_lazy as _
from future.utils import python_2_unicode_compatible
from bluebottle.fsm.state import ... | 0.7586 | 0.131229 |
import pytest
import petlib
@pytest.mark.task1
def test_petlib_present():
"""
Try to import Petlib and pytest to ensure they are
present on the system, and accessible to the python
environment
"""
import petlib
import pytest
assert True
@pytest.mark.task1
def test_code_present():
... | EAC-code/TestCommitment.py | import pytest
import petlib
@pytest.mark.task1
def test_petlib_present():
"""
Try to import Petlib and pytest to ensure they are
present on the system, and accessible to the python
environment
"""
import petlib
import pytest
assert True
@pytest.mark.task1
def test_code_present():
... | 0.396419 | 0.599895 |
import torch
import torch.optim as optim
import torch.utils.data
import time
from datetime import datetime
import torch.nn.functional as F
from torch.autograd import Variable
from model_logging import Logger
from wavenet_modules import *
import random
def print_last_loss(opt):
print("loss: ", opt.losses[-1])
de... | wavenet_training.py | import torch
import torch.optim as optim
import torch.utils.data
import time
from datetime import datetime
import torch.nn.functional as F
from torch.autograd import Variable
from model_logging import Logger
from wavenet_modules import *
import random
def print_last_loss(opt):
print("loss: ", opt.losses[-1])
de... | 0.762954 | 0.27837 |
from jetengine.metaclasses import DocumentMetaClass
from jetengine.errors import InvalidDocumentError, LoadReferencesRequiredError
AUTHORIZED_FIELDS = ["_id", "_values", "_reference_loaded_fields", "is_partly_loaded"]
class BaseDocument(object):
def __init__(self, _is_partly_loaded=False, _reference_loaded_fiel... | jetengine/document.py | from jetengine.metaclasses import DocumentMetaClass
from jetengine.errors import InvalidDocumentError, LoadReferencesRequiredError
AUTHORIZED_FIELDS = ["_id", "_values", "_reference_loaded_fields", "is_partly_loaded"]
class BaseDocument(object):
def __init__(self, _is_partly_loaded=False, _reference_loaded_fiel... | 0.852767 | 0.28582 |
from flask import Flask, request, render_template
from nltk_api.definition.response import DefinitionResponseBuilder
from nltk_api.lemma.processor import POS
from werkzeug.exceptions import BadRequest
from nltk_api.definition.processor import DefinitionProcessor
from nltk_api.util.responses import BadRequestIncorrect... | nltk_api/application.py | from flask import Flask, request, render_template
from nltk_api.definition.response import DefinitionResponseBuilder
from nltk_api.lemma.processor import POS
from werkzeug.exceptions import BadRequest
from nltk_api.definition.processor import DefinitionProcessor
from nltk_api.util.responses import BadRequestIncorrect... | 0.541894 | 0.113826 |
"""Tests for `block.py`."""
from absl.testing import absltest
from absl.testing import parameterized
import chex
from distrax._src.bijectors import bijector as base
from distrax._src.bijectors import block as block_bijector
from distrax._src.bijectors import scalar_affine
from distrax._src.utils import conversion
imp... | distrax/_src/bijectors/block_test.py | """Tests for `block.py`."""
from absl.testing import absltest
from absl.testing import parameterized
import chex
from distrax._src.bijectors import bijector as base
from distrax._src.bijectors import block as block_bijector
from distrax._src.bijectors import scalar_affine
from distrax._src.utils import conversion
imp... | 0.852629 | 0.795857 |
import numpy as np
import pytest
import tensorflow as tf
from adnc.model.mann import MANN
INPUT_SIZE = 22
OUTPUT_SIZE = 22
BATCH_SIZE = 31
CONFIG = {
"seed": 123,
"input_size": INPUT_SIZE,
"output_size": OUTPUT_SIZE,
"batch_size": BATCH_SIZE,
"input_embedding": False,
"architecture": 'uni', ... | test/adnc/model/test_mann.py | import numpy as np
import pytest
import tensorflow as tf
from adnc.model.mann import MANN
INPUT_SIZE = 22
OUTPUT_SIZE = 22
BATCH_SIZE = 31
CONFIG = {
"seed": 123,
"input_size": INPUT_SIZE,
"output_size": OUTPUT_SIZE,
"batch_size": BATCH_SIZE,
"input_embedding": False,
"architecture": 'uni', ... | 0.654232 | 0.465691 |
from __future__ import absolute_import
import re # noqa: F401
# python 2 and python 3 compatibility library
import six
from tb_rest_client.api_client import ApiClient
class SchedulerEventControllerApi(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the cl... | tb_rest_client/api/api_pe/scheduler_event_controller_api.py | from __future__ import absolute_import
import re # noqa: F401
# python 2 and python 3 compatibility library
import six
from tb_rest_client.api_client import ApiClient
class SchedulerEventControllerApi(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the cl... | 0.694613 | 0.073099 |
import numpy as np
import pandas as pd
# The column names of following_count
A_FOLLOWER_COUNT = 'A_following_count'
B_FOLLOWER_COUNT = 'B_following_count'
MARGIN = 10
COST = 10
def get_influencer_follower_counts(test_data, y, y_val, column_name):
"""
:param test_data: (DataFrame)
columns A_follower... | assignment_1/evaluation/model_value_calculator.py | import numpy as np
import pandas as pd
# The column names of following_count
A_FOLLOWER_COUNT = 'A_following_count'
B_FOLLOWER_COUNT = 'B_following_count'
MARGIN = 10
COST = 10
def get_influencer_follower_counts(test_data, y, y_val, column_name):
"""
:param test_data: (DataFrame)
columns A_follower... | 0.637144 | 0.620966 |
# testing functions in datar.dplyr.funs
import pytest
from datar.core.backends import pandas as pd
from datar.dplyr import (
between,
lead,
lag,
cumany,
cumall,
nth,
order_by,
with_order,
percent_rank,
cume_dist,
cummean,
na_if,
near,
desc,
first,
last,
... | tests/dplyr/test_funs.py |
# testing functions in datar.dplyr.funs
import pytest
from datar.core.backends import pandas as pd
from datar.dplyr import (
between,
lead,
lag,
cumany,
cumall,
nth,
order_by,
with_order,
percent_rank,
cume_dist,
cummean,
na_if,
near,
desc,
first,
last,
... | 0.636127 | 0.647032 |
import os
import click
import hashlib
import defaults
import pkg_resources
from manifest_checker import version
import commands
def validate_report_out(ctx, param, value):
if value is None:
return None
if value.name == '-':
raise click.BadParameter("Cannot use stdout for this parameter : use... | manifest_checker/main.py | import os
import click
import hashlib
import defaults
import pkg_resources
from manifest_checker import version
import commands
def validate_report_out(ctx, param, value):
if value is None:
return None
if value.name == '-':
raise click.BadParameter("Cannot use stdout for this parameter : use... | 0.409457 | 0.119331 |
from typing import Any, Callable, Dict, List, NoReturn, Optional, Union, cast
from ..language import (
DirectiveDefinitionNode,
DirectiveLocation,
DocumentNode,
EnumTypeDefinitionNode,
EnumValueDefinitionNode,
FieldDefinitionNode,
InputObjectTypeDefinitionNode,
InputValueDefinitionNode,... | graphql/utilities/build_ast_schema.py | from typing import Any, Callable, Dict, List, NoReturn, Optional, Union, cast
from ..language import (
DirectiveDefinitionNode,
DirectiveLocation,
DocumentNode,
EnumTypeDefinitionNode,
EnumValueDefinitionNode,
FieldDefinitionNode,
InputObjectTypeDefinitionNode,
InputValueDefinitionNode,... | 0.900781 | 0.439507 |
def chamberofcommerce_data_scraper(url, source_phone):
import urllib2
import time
hdr = {'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.11 (KHTML, like Gecko) Chrome/23.0.1271.64 Safari/537.11',
'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
... | fetchers/test_all/data_scrapers/chamberofcommerce_data_scraper.py | def chamberofcommerce_data_scraper(url, source_phone):
import urllib2
import time
hdr = {'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.11 (KHTML, like Gecko) Chrome/23.0.1271.64 Safari/537.11',
'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
... | 0.077481 | 0.137185 |
from django.test import TestCase
from accounts.models import User
from Support.Code.actions.Support.forms.for_fields import set_slug
from unittest import expectedFailure
class UserTest(TestCase):
def setUp(self):
self.user = User(
username='<EMAIL>', name='name_test',
email='<EMA... | project/Support/Code/tests/models/accounts/user.py | from django.test import TestCase
from accounts.models import User
from Support.Code.actions.Support.forms.for_fields import set_slug
from unittest import expectedFailure
class UserTest(TestCase):
def setUp(self):
self.user = User(
username='<EMAIL>', name='name_test',
email='<EMA... | 0.414069 | 0.35973 |
def checkout(skus):
price_table ={
"A": {
"price" : 50,
"offer" : True,
"item_offer": False,
"required_unit_for_offer" : {"3": 130,"5":200},
},
"B": {
"price" : 30,
"offer" : True,
"item_o... | lib/solutions/CHK/checkout_solution.py |
def checkout(skus):
price_table ={
"A": {
"price" : 50,
"offer" : True,
"item_offer": False,
"required_unit_for_offer" : {"3": 130,"5":200},
},
"B": {
"price" : 30,
"offer" : True,
"item_o... | 0.256553 | 0.266023 |
import mimetypes
import shutil
import os
from collections import OrderedDict
from onegov.core.csv import convert_list_of_dicts_to_csv
from onegov.core.csv import convert_list_of_dicts_to_xlsx
from onegov.core.csv import convert_excel_to_csv
from onegov.core.csv import CSVFile
from onegov.core.custom import json
from o... | src/onegov/directory/archive.py | import mimetypes
import shutil
import os
from collections import OrderedDict
from onegov.core.csv import convert_list_of_dicts_to_csv
from onegov.core.csv import convert_list_of_dicts_to_xlsx
from onegov.core.csv import convert_excel_to_csv
from onegov.core.csv import CSVFile
from onegov.core.custom import json
from o... | 0.597021 | 0.224969 |
from azure.cosmos import exceptions, CosmosClient, PartitionKey
from json import loads
container = None
client = None
def init(config):
# Initialize the Cosmos client
global container
global client
if container is None:
client = CosmosClient(config.cosmos.endpoint, config.cosmos.primarykey)
... | cosmos.py | from azure.cosmos import exceptions, CosmosClient, PartitionKey
from json import loads
container = None
client = None
def init(config):
# Initialize the Cosmos client
global container
global client
if container is None:
client = CosmosClient(config.cosmos.endpoint, config.cosmos.primarykey)
... | 0.630571 | 0.079639 |
import numpy as np
import tensorflow as tf
import argparse
import matplotlib.pyplot as plt
from util import name_and_path_util
from util.datahandler import DataHandler
from util.records import Recorder
from models.simple_dnn import SimpleDNN
from models.trainer import Trainer
from util import save_and_load
def main... | train_model.py |
import numpy as np
import tensorflow as tf
import argparse
import matplotlib.pyplot as plt
from util import name_and_path_util
from util.datahandler import DataHandler
from util.records import Recorder
from models.simple_dnn import SimpleDNN
from models.trainer import Trainer
from util import save_and_load
def main... | 0.672224 | 0.301041 |
from __future__ import unicode_literals
import re
import json
import time
import uuid
import random
from django.shortcuts import render
from django.contrib import messages
from django.template.response import TemplateResponse
from django.core.paginator import Paginator, EmptyPage, InvalidPage
from django.http import H... | Linux-Operation0605/app/maillog/views.py | from __future__ import unicode_literals
import re
import json
import time
import uuid
import random
from django.shortcuts import render
from django.contrib import messages
from django.template.response import TemplateResponse
from django.core.paginator import Paginator, EmptyPage, InvalidPage
from django.http import H... | 0.21984 | 0.082107 |
from pandas import Series
from .plot_and_save import plot_and_save
def plot_scatter_and_annotate(
x,
y,
abs_dimension,
annotation=(),
opacity=0.64,
annotation_font_size=10,
title=None,
html_file_path=None,
):
if x is None:
x = Series(range(y.size), name="Rank", index=y.i... | ccal/plot_scatter_and_annotate.py | from pandas import Series
from .plot_and_save import plot_and_save
def plot_scatter_and_annotate(
x,
y,
abs_dimension,
annotation=(),
opacity=0.64,
annotation_font_size=10,
title=None,
html_file_path=None,
):
if x is None:
x = Series(range(y.size), name="Rank", index=y.i... | 0.532911 | 0.422326 |
import time
import pytest
import subprocess
import boto3
from e2e.utils.config import metadata
from e2e.utils.cognito_bootstrap.common import load_cfg, write_cfg
from e2e.fixtures.kustomize import kustomize, configure_manifests
from e2e.conftest import region
from e2e.fixtures.cluster import cluster
from e2e.fixtures.... | tests/e2e/fixtures/storage_fsx_dependencies.py | import time
import pytest
import subprocess
import boto3
from e2e.utils.config import metadata
from e2e.utils.cognito_bootstrap.common import load_cfg, write_cfg
from e2e.fixtures.kustomize import kustomize, configure_manifests
from e2e.conftest import region
from e2e.fixtures.cluster import cluster
from e2e.fixtures.... | 0.159283 | 0.149811 |
from collections import defaultdict
import torch
from torch import nn
import torch.nn.functional as F
from ...utils.nn import get_rnn_hidden_state
from .. import FF
from ..attention import get_attention
class XuDecoder(nn.Module):
"""A decoder which implements Show-attend-and-tell decoder."""
def __init__(se... | nmtpytorch/layers/decoders/xu.py | from collections import defaultdict
import torch
from torch import nn
import torch.nn.functional as F
from ...utils.nn import get_rnn_hidden_state
from .. import FF
from ..attention import get_attention
class XuDecoder(nn.Module):
"""A decoder which implements Show-attend-and-tell decoder."""
def __init__(se... | 0.909163 | 0.325708 |
import numpy as np
from matplotlib import pyplot as plt
import numpy.linalg as la
import os
def rk4(f, y0, T, N):
# f(t_n, y_n) -> y'_n
# y0 = Initial value
# T = Final value of t, t varies from 0 to T inclusive
# N = number of steps
y = np.array(y0, dtype=float)
h = float(T)/N
ts = np.lin... | 514/hwk11/h11.py | import numpy as np
from matplotlib import pyplot as plt
import numpy.linalg as la
import os
def rk4(f, y0, T, N):
# f(t_n, y_n) -> y'_n
# y0 = Initial value
# T = Final value of t, t varies from 0 to T inclusive
# N = number of steps
y = np.array(y0, dtype=float)
h = float(T)/N
ts = np.lin... | 0.495606 | 0.55435 |
import datetime
import json
try:
from feedgenerator import SyndicationFeed, rfc3339_date
except ImportError:
from django.utils.feedgenerator import SyndicationFeed, rfc3339_date
class JSONFeed(SyndicationFeed):
content_type = 'application/json; charset=utf-8'
@staticmethod
def json_serial(obj):
... | jsonfeed/core.py | import datetime
import json
try:
from feedgenerator import SyndicationFeed, rfc3339_date
except ImportError:
from django.utils.feedgenerator import SyndicationFeed, rfc3339_date
class JSONFeed(SyndicationFeed):
content_type = 'application/json; charset=utf-8'
@staticmethod
def json_serial(obj):
... | 0.261425 | 0.04888 |
import argparse
import hmac
import io
import ipaddress
import logging
import os
import re
from hashlib import sha1
from uuid import UUID
import pathlib
import flask
from expiringdict import ExpiringDict
from flask import abort, request, json
import grappled
import grappled.helpers
h = logging.StreamHandler()
h.setL... | grappled/__main__.py |
import argparse
import hmac
import io
import ipaddress
import logging
import os
import re
from hashlib import sha1
from uuid import UUID
import pathlib
import flask
from expiringdict import ExpiringDict
from flask import abort, request, json
import grappled
import grappled.helpers
h = logging.StreamHandler()
h.setL... | 0.471467 | 0.055515 |
import urllib.request
import json
import tarfile
import os
from io import BytesIO
from shutil import copyfile
with open("./downloads/MicrocycSubstitution.tsv","r") as fSubtitution:
lineMicrocyc=fSubtitution.readlines()[1:]
#Create a dic Microcyc ID to PGDBs Name and a list of all PGDBsName
dMicrocycIdtoPGDBname... | Bacteria/DLMicrocycandExtractWithoutdownloads.py |
import urllib.request
import json
import tarfile
import os
from io import BytesIO
from shutil import copyfile
with open("./downloads/MicrocycSubstitution.tsv","r") as fSubtitution:
lineMicrocyc=fSubtitution.readlines()[1:]
#Create a dic Microcyc ID to PGDBs Name and a list of all PGDBsName
dMicrocycIdtoPGDBname... | 0.111598 | 0.090655 |
from queue import Empty
from unittest.mock import patch, Mock, MagicMock, call, ANY
from django.db import DatabaseError
from django.test import TestCase
from django_partisan.workers_manager import WorkersManager
is_alive_return_value = 'is_alive.return_value'
is_alive_side_effect = 'is_alive.side_effect'
@patch('d... | django_partisan/tests/test_workers_manager.py | from queue import Empty
from unittest.mock import patch, Mock, MagicMock, call, ANY
from django.db import DatabaseError
from django.test import TestCase
from django_partisan.workers_manager import WorkersManager
is_alive_return_value = 'is_alive.return_value'
is_alive_side_effect = 'is_alive.side_effect'
@patch('d... | 0.579519 | 0.240948 |
from nltk import tokenize
import numpy as np
import os
import re
from itertools import permutations
# analystic constants
punc_list = [",", ".", ")", "_", "-", "/", '"', "'", "}", "]", "|", "?", "!"]
char_list = ["a", "b", "c", "d", "e", "f", "g", "h", "i", "j", "k", "l", "m", "n", "o", "p", "q", "r", "s", "t", "u", "... | datasets/codra_check.py | from nltk import tokenize
import numpy as np
import os
import re
from itertools import permutations
# analystic constants
punc_list = [",", ".", ")", "_", "-", "/", '"', "'", "}", "]", "|", "?", "!"]
char_list = ["a", "b", "c", "d", "e", "f", "g", "h", "i", "j", "k", "l", "m", "n", "o", "p", "q", "r", "s", "t", "u", "... | 0.140307 | 0.135346 |
import random
SUITS = ('Hearts', 'Diamonds', 'Spades', 'Clubs')
RANKS = ('Two', 'Three', 'Four', 'Five', 'Six', 'Seven', 'Eight', 'Nine', 'Ten', 'Jack', 'Queen', 'King', 'Ace')
VALUES = {'Two': 2, 'Three': 3, 'Four': 4, 'Five': 5, 'Six': 6, 'Seven': 7, 'Eight': 8, 'Nine': 9, 'Ten': 10,
'Jack': 10, 'Quee... | card-games/blackjack.py | import random
SUITS = ('Hearts', 'Diamonds', 'Spades', 'Clubs')
RANKS = ('Two', 'Three', 'Four', 'Five', 'Six', 'Seven', 'Eight', 'Nine', 'Ten', 'Jack', 'Queen', 'King', 'Ace')
VALUES = {'Two': 2, 'Three': 3, 'Four': 4, 'Five': 5, 'Six': 6, 'Seven': 7, 'Eight': 8, 'Nine': 9, 'Ten': 10,
'Jack': 10, 'Quee... | 0.444806 | 0.242021 |
from socket import *
import threading
from threading import Thread
import tkinter
import pyaudio
import time
def Receive():
while True:
try:
msg = client_socket.recv(BuffferSize).decode("utf8")
if msg[0:12] == "{modifyList}":
setNameList(msg[12:])
else:
msg_list.insert(tkinter.END, msg)
except OS... | client.py | from socket import *
import threading
from threading import Thread
import tkinter
import pyaudio
import time
def Receive():
while True:
try:
msg = client_socket.recv(BuffferSize).decode("utf8")
if msg[0:12] == "{modifyList}":
setNameList(msg[12:])
else:
msg_list.insert(tkinter.END, msg)
except OS... | 0.30767 | 0.058966 |
import io
import sys
import time
import datetime
from enum import Enum
HAS_CUDA = False
try:
import torch
index = torch.cuda.current_device()
torch.cuda.memory_allocated(index)
HAS_CUDA = True
except:
pass
# to avoid import common.torch and the cycle resulting from it
def memory():
"""
G... | common/log.py | import io
import sys
import time
import datetime
from enum import Enum
HAS_CUDA = False
try:
import torch
index = torch.cuda.current_device()
torch.cuda.memory_allocated(index)
HAS_CUDA = True
except:
pass
# to avoid import common.torch and the cycle resulting from it
def memory():
"""
G... | 0.565539 | 0.351895 |
from markupsafe import escape
import sys
import prometheus_client as prom
import socket
from OpenSSL import SSL, crypto
from ssl import PROTOCOL_TLSv1_2
from fastapi import FastAPI, HTTPException
import uvicorn
import logging
logging.basicConfig(format='%(asctime)s %(message)s',
datefmt='%m/%d/%Y %I... | app/certificate_checker.py | from markupsafe import escape
import sys
import prometheus_client as prom
import socket
from OpenSSL import SSL, crypto
from ssl import PROTOCOL_TLSv1_2
from fastapi import FastAPI, HTTPException
import uvicorn
import logging
logging.basicConfig(format='%(asctime)s %(message)s',
datefmt='%m/%d/%Y %I... | 0.368747 | 0.064095 |
from __future__ import print_function, division
__copyright__="""Copyright (c) 2003-2018 by The University of Queensland
http://www.uq.edu.au
Primary Business: Queensland, Australia"""
__license__="""Licensed under the Open Software License version 3.0
http://www.opensource.org/licenses/osl-3.0.php"""
__url__="https:... | dudley/test/python/run_trilinosComplexSolversOnDudley.py |
from __future__ import print_function, division
__copyright__="""Copyright (c) 2003-2018 by The University of Queensland
http://www.uq.edu.au
Primary Business: Queensland, Australia"""
__license__="""Licensed under the Open Software License version 3.0
http://www.opensource.org/licenses/osl-3.0.php"""
__url__="https:... | 0.649912 | 0.263641 |
import pygame, sys
class Spritesheet(object):
def __init__(self, filename):
"""
Initialize a spritesheet.
filename - Filename of the sprite sheet.
"""
try:
self.sheet = pygame.image.load(filename).convert()
except pygame.error, message:
pri... | lib/graphics/spritesheet.py |
import pygame, sys
class Spritesheet(object):
def __init__(self, filename):
"""
Initialize a spritesheet.
filename - Filename of the sprite sheet.
"""
try:
self.sheet = pygame.image.load(filename).convert()
except pygame.error, message:
pri... | 0.503906 | 0.425009 |
import cv2
import numpy as np
import scipy.ndimage
import matplotlib.pyplot as plt
def compute_gradients(firstImage, secondImage):
"""
Compute gradients in x, y and t direction between images
:param firstImage: First image
:param secondImage: Second image
:return: Gradients
"""
firstImage... | horn_schunck/horn_schunk.py | import cv2
import numpy as np
import scipy.ndimage
import matplotlib.pyplot as plt
def compute_gradients(firstImage, secondImage):
"""
Compute gradients in x, y and t direction between images
:param firstImage: First image
:param secondImage: Second image
:return: Gradients
"""
firstImage... | 0.816736 | 0.795777 |
import serial
import sys
# Utilities used by all UBX tools
import ubx.Sensors
from ubx.utilities import ubx_crc, log_file_name, mc_sender, ip_validator, udp_sender
from ubx.UBXParser import UBXParser
# Get all the settings for this programme
import settings.sensors as settings
this_programme = settings.UBXHEADINGSENS... | UBX/UBXHeadingSensor.py | import serial
import sys
# Utilities used by all UBX tools
import ubx.Sensors
from ubx.utilities import ubx_crc, log_file_name, mc_sender, ip_validator, udp_sender
from ubx.UBXParser import UBXParser
# Get all the settings for this programme
import settings.sensors as settings
this_programme = settings.UBXHEADINGSENS... | 0.314577 | 0.135833 |
import argparse
import os
import sys
import errno
import shutil
import subprocess
import itertools
import re
import pyparanoid.pyparanoid as pp
import multiprocessing as mp
from Bio import SeqIO
def parse_args():
parser = argparse.ArgumentParser(description='''
Master script for running PyParanoid process.
modes: m... | BuildGroups.py |
import argparse
import os
import sys
import errno
import shutil
import subprocess
import itertools
import re
import pyparanoid.pyparanoid as pp
import multiprocessing as mp
from Bio import SeqIO
def parse_args():
parser = argparse.ArgumentParser(description='''
Master script for running PyParanoid process.
modes: m... | 0.131521 | 0.103341 |
# In[1]:
import pandas as pd
from datetime import datetime
import requests
from alphacast import Alphacast
from dotenv import dotenv_values
# In[2]:
#Armo un diccionario con las urls de los archivos y sus respectivas hojas para el loop
urlDict = {'constantes': ['https://www.bcu.gub.uy/Estadisticas-e-Indicadores/... | 0284.Activity-Uruguay-BCU-National_Accounts.py |
# In[1]:
import pandas as pd
from datetime import datetime
import requests
from alphacast import Alphacast
from dotenv import dotenv_values
# In[2]:
#Armo un diccionario con las urls de los archivos y sus respectivas hojas para el loop
urlDict = {'constantes': ['https://www.bcu.gub.uy/Estadisticas-e-Indicadores/... | 0.395718 | 0.449513 |
import tkinter
from tkinter import*
def mod(a,b):
return ( a % b)
def StandardKnot():
global m
knot = []
L = len(points) - 2
if L <= m -2 :
print('make more points than m')
return []
for i in range(m - 1):
knot.append(0)
for i in range(L - m + 3):
knot.appe... | tktoolbox/incoming/spline.py |
import tkinter
from tkinter import*
def mod(a,b):
return ( a % b)
def StandardKnot():
global m
knot = []
L = len(points) - 2
if L <= m -2 :
print('make more points than m')
return []
for i in range(m - 1):
knot.append(0)
for i in range(L - m + 3):
knot.appe... | 0.225672 | 0.296826 |
import pandas as pd
import cv2 as cv
import os
import numpy as np
from keras.preprocessing.image import load_img, img_to_array
X_train = []
X_test=[]
root="G:/INTERNSHIP IIITA/Dataset/NUS-WIDE/Images/Flickr/Flickr/"
#============================Train Images======================================
file=open("... | Code/test3.py | import pandas as pd
import cv2 as cv
import os
import numpy as np
from keras.preprocessing.image import load_img, img_to_array
X_train = []
X_test=[]
root="G:/INTERNSHIP IIITA/Dataset/NUS-WIDE/Images/Flickr/Flickr/"
#============================Train Images======================================
file=open("... | 0.241132 | 0.220049 |
import pytest
from api.base.settings.defaults import API_BASE
from api_tests.requests.mixins import NodeRequestTestMixin, PreprintRequestTestMixin
@pytest.mark.django_db
class TestActionDetailNodeRequests(NodeRequestTestMixin):
@pytest.fixture()
def url(self, node_request):
action = node_request.acti... | api_tests/actions/views/test_action_detail.py | import pytest
from api.base.settings.defaults import API_BASE
from api_tests.requests.mixins import NodeRequestTestMixin, PreprintRequestTestMixin
@pytest.mark.django_db
class TestActionDetailNodeRequests(NodeRequestTestMixin):
@pytest.fixture()
def url(self, node_request):
action = node_request.acti... | 0.382372 | 0.288394 |
from typing import Dict, Set, Tuple
from pants.backend.codegen.protobuf.target_types import ProtobufGrpcToggle, ProtobufSources
from pants.backend.python.dependency_inference.module_mapper import (
FirstPartyPythonMappingImpl,
FirstPartyPythonMappingImplMarker,
)
from pants.base.specs import AddressSpecs, Des... | src/python/pants/backend/codegen/protobuf/python/python_protobuf_module_mapper.py |
from typing import Dict, Set, Tuple
from pants.backend.codegen.protobuf.target_types import ProtobufGrpcToggle, ProtobufSources
from pants.backend.python.dependency_inference.module_mapper import (
FirstPartyPythonMappingImpl,
FirstPartyPythonMappingImplMarker,
)
from pants.base.specs import AddressSpecs, Des... | 0.874507 | 0.179315 |
import imageio
from skimage import img_as_ubyte, exposure
from PIL import Image, ImageDraw, ImageFont
import glob
import numpy as np
import os
from numpy import unravel_index
import cv2
from pathlib import Path
from functions.pngTools import nBitPNG
from functions.scanparameter import get_scanpara
def downsize_img(i... | dataanalysis-notebook/functions/image_convert.py | import imageio
from skimage import img_as_ubyte, exposure
from PIL import Image, ImageDraw, ImageFont
import glob
import numpy as np
import os
from numpy import unravel_index
import cv2
from pathlib import Path
from functions.pngTools import nBitPNG
from functions.scanparameter import get_scanpara
def downsize_img(i... | 0.510496 | 0.520801 |
from typing import TYPE_CHECKING, Iterable, List, Optional
from logging import warning
from uuid import uuid4
import numpy as np
from qulacs import Observable, QuantumState # type: ignore
from qulacs.observable import create_observable_from_openfermion_text # type: ignore
from pytket.backends import (
Backend,
... | modules/pytket-qulacs/pytket/extensions/qulacs/backends/qulacs_backend.py | from typing import TYPE_CHECKING, Iterable, List, Optional
from logging import warning
from uuid import uuid4
import numpy as np
from qulacs import Observable, QuantumState # type: ignore
from qulacs.observable import create_observable_from_openfermion_text # type: ignore
from pytket.backends import (
Backend,
... | 0.895231 | 0.414543 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from ... import _utilities
from ._enums import *
__all__ = [
'ConnectedClusterAADProfileResponse',
'ConnectedClusterIdentityResponse',
'CredentialResultResponse',
'HybridConnectionC... | sdk/python/pulumi_azure_native/kubernetes/v20200101preview/outputs.py |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from ... import _utilities
from ._enums import *
__all__ = [
'ConnectedClusterAADProfileResponse',
'ConnectedClusterIdentityResponse',
'CredentialResultResponse',
'HybridConnectionC... | 0.861684 | 0.063657 |
import numpy as np
import numpy.ma as ma
from numpy.testing import assert_array_equal
from cloudnetpy.categorize import falling
import pytest
class Obs:
def __init__(self):
self.z = ma.array([[.4, .5, .6, .7, .5, .5],
[.5, .5, .5, .5, .5, .5]],
mask=[[... | tests/unit/test_falling.py | import numpy as np
import numpy.ma as ma
from numpy.testing import assert_array_equal
from cloudnetpy.categorize import falling
import pytest
class Obs:
def __init__(self):
self.z = ma.array([[.4, .5, .6, .7, .5, .5],
[.5, .5, .5, .5, .5, .5]],
mask=[[... | 0.510985 | 0.668021 |
import window
import pygame
from reversi import ReversiGame
from typing import List, Dict
from stats import plot_game_statistics
from ai_players import RandomPlayer, MinimaxABPlayer
def increment_player_score(player: str, w: window.Window) -> None:
"""Increments the player score of the corresponding player."""
... | ui_handler.py | import window
import pygame
from reversi import ReversiGame
from typing import List, Dict
from stats import plot_game_statistics
from ai_players import RandomPlayer, MinimaxABPlayer
def increment_player_score(player: str, w: window.Window) -> None:
"""Increments the player score of the corresponding player."""
... | 0.879626 | 0.284148 |
import torch
from mmdeploy.codebase.mmdet import (get_post_processing_params,
pad_with_value_if_necessary)
from mmdeploy.codebase.mmrotate.core.post_processing import \
multiclass_nms_rotated
from mmdeploy.core import FUNCTION_REWRITER
from mmdeploy.utils import is_dynamic_shap... | mmdeploy/codebase/mmrotate/models/rotated_anchor_head.py | import torch
from mmdeploy.codebase.mmdet import (get_post_processing_params,
pad_with_value_if_necessary)
from mmdeploy.codebase.mmrotate.core.post_processing import \
multiclass_nms_rotated
from mmdeploy.core import FUNCTION_REWRITER
from mmdeploy.utils import is_dynamic_shap... | 0.878744 | 0.404155 |
from datetime import datetime
from unittest import TestCase
try:
from unittest.mock import patch, Mock
except ImportError:
from mock import patch, Mock
from laika.reports import ReportFormatter, FilenameFormatter
class ReportFormatterTest(TestCase):
def setUp(self):
now = datetime(2016, 2, 12, ... | laika/tests/test_formatter.py | from datetime import datetime
from unittest import TestCase
try:
from unittest.mock import patch, Mock
except ImportError:
from mock import patch, Mock
from laika.reports import ReportFormatter, FilenameFormatter
class ReportFormatterTest(TestCase):
def setUp(self):
now = datetime(2016, 2, 12, ... | 0.753829 | 0.319732 |
# no functions
# classes
class ArrayList(object):
"""
Implements the System.Collections.IList interface using an array whose size is dynamically increased as required.
ArrayList()
ArrayList(capacity: int)
ArrayList(c: ICollection)
"""
def ZZZ(self):
"""hardcoded/mock instance of the class"... | release/stubs.min/System/Collections/__init__.py |
# no functions
# classes
class ArrayList(object):
"""
Implements the System.Collections.IList interface using an array whose size is dynamically increased as required.
ArrayList()
ArrayList(capacity: int)
ArrayList(c: ICollection)
"""
def ZZZ(self):
"""hardcoded/mock instance of the class"... | 0.664105 | 0.505615 |
import numpy as np
import teneva
from ttopt import TTOpt
from ttopt import ttopt_init
np.random.seed(16333)
def run(d=10, p=2, q=25, evals=1.E+5, rmax=4, with_cache=False):
n = np.ones(d * q, dtype=int) * p
Y0 = ttopt_init(n, rmax)
for func in teneva.func_demo_all(d=d):
name = func.name + ' '... | check/test.py | import numpy as np
import teneva
from ttopt import TTOpt
from ttopt import ttopt_init
np.random.seed(16333)
def run(d=10, p=2, q=25, evals=1.E+5, rmax=4, with_cache=False):
n = np.ones(d * q, dtype=int) * p
Y0 = ttopt_init(n, rmax)
for func in teneva.func_demo_all(d=d):
name = func.name + ' '... | 0.225672 | 0.218221 |
import logging
from multiprocessing import Process
from haddock.libs.libutil import parse_ncores
logger = logging.getLogger(__name__)
class Worker(Process):
def __init__(self, tasks):
super(Worker, self).__init__()
self.tasks = tasks
logger.info(f"Worker ready with {len(self.tasks)} ta... | src/haddock/libs/libparallel.py | import logging
from multiprocessing import Process
from haddock.libs.libutil import parse_ncores
logger = logging.getLogger(__name__)
class Worker(Process):
def __init__(self, tasks):
super(Worker, self).__init__()
self.tasks = tasks
logger.info(f"Worker ready with {len(self.tasks)} ta... | 0.755276 | 0.230573 |
# encoding:utf-8
import cv2
import torch
from torch.autograd import Variable
import argparse
from load_data import *
from utils import PDR
import config
if __name__ == '__main__':
ap = argparse.ArgumentParser()
ap.add_argument("-m", "--model", required=True,help="path to the model file")
args = vars(ap.pa... | video_detect.py |
# encoding:utf-8
import cv2
import torch
from torch.autograd import Variable
import argparse
from load_data import *
from utils import PDR
import config
if __name__ == '__main__':
ap = argparse.ArgumentParser()
ap.add_argument("-m", "--model", required=True,help="path to the model file")
args = vars(ap.pa... | 0.433502 | 0.269833 |
import sys
import maya.api._OpenMaya_py2 as om2
def maya_useNewAPI():
""" Function to Maya recognize the use of the Python API 2.0. """
# pylint: disable=invalid-name, unnecessary-pass
pass
def INPUT_ATTR(FNATTR):
""" Configure a input attribute. """
# pylint: disable=invalid-name
FNATTR.wri... | plugin/maya/nodes/mpx/MPxNode.py | import sys
import maya.api._OpenMaya_py2 as om2
def maya_useNewAPI():
""" Function to Maya recognize the use of the Python API 2.0. """
# pylint: disable=invalid-name, unnecessary-pass
pass
def INPUT_ATTR(FNATTR):
""" Configure a input attribute. """
# pylint: disable=invalid-name
FNATTR.wri... | 0.453746 | 0.384565 |
__version__ = "1.0.0"
__modname__ = "Indigo Plugin User Interface"
__author__ = "ColoradoFourWheeler"
__copyright__ = "Copyright 2018, ColoradoFourWheeler & EPS"
__credits__ = ["ColoradoFourWheeler"]
__license__ = "GPL"
__maintainer__ = "ColoradoFourWheeler"
__email__ = "Indigo Forums"
__status__ = "Produ... | EPS HomeKit Bridge.indigoPlugin/Contents/Server Plugin/lib/ifactory/include/ui.py |
__version__ = "1.0.0"
__modname__ = "Indigo Plugin User Interface"
__author__ = "ColoradoFourWheeler"
__copyright__ = "Copyright 2018, ColoradoFourWheeler & EPS"
__credits__ = ["ColoradoFourWheeler"]
__license__ = "GPL"
__maintainer__ = "ColoradoFourWheeler"
__email__ = "Indigo Forums"
__status__ = "Produ... | 0.294621 | 0.081483 |
import asyncio
from datetime import datetime
loop = asyncio.get_event_loop()
asyncio.set_event_loop(loop)
from asyncdb import AsyncDB, AsyncPool
from asyncdb.providers.pg import pg, pgPool
params = {
"user": "troc_pgdata",
"password": "<PASSWORD>",
"host": "127.0.0.1",
"port": "5432",
"database":... | probe/test_pg.py | import asyncio
from datetime import datetime
loop = asyncio.get_event_loop()
asyncio.set_event_loop(loop)
from asyncdb import AsyncDB, AsyncPool
from asyncdb.providers.pg import pg, pgPool
params = {
"user": "troc_pgdata",
"password": "<PASSWORD>",
"host": "127.0.0.1",
"port": "5432",
"database":... | 0.296451 | 0.125199 |
from flask import Flask, render_template, request
import os
from subprocess import Popen, PIPE, CalledProcessError
# ALLOWED_EXTENSIONS = set([])
installer = Flask(__name__)
def _popen_yield(cmd):
popen = Popen(cmd, stdout=PIPE, stderr=PIPE, universal_newlines=True)
for stdout_line in iter(popen.stdout.read... | carrier_installer/installer.py | from flask import Flask, render_template, request
import os
from subprocess import Popen, PIPE, CalledProcessError
# ALLOWED_EXTENSIONS = set([])
installer = Flask(__name__)
def _popen_yield(cmd):
popen = Popen(cmd, stdout=PIPE, stderr=PIPE, universal_newlines=True)
for stdout_line in iter(popen.stdout.read... | 0.360714 | 0.048631 |
from django.contrib.auth.forms import UserCreationForm
from django.contrib.auth.models import User
from django import forms
from .models import Profile
class RegisterForm(UserCreationForm):
username = forms.CharField(label=False, max_length=20, widget=forms.TextInput(
attrs={'class': 'form-control', 'plac... | users/forms.py | from django.contrib.auth.forms import UserCreationForm
from django.contrib.auth.models import User
from django import forms
from .models import Profile
class RegisterForm(UserCreationForm):
username = forms.CharField(label=False, max_length=20, widget=forms.TextInput(
attrs={'class': 'form-control', 'plac... | 0.41324 | 0.098339 |
def gen08(fnumber, data, number_of_points=16777216, comment=None):
"""
http://www.csounds.com/manual/html/GEN08.html
"""
# generate parts off data
step = number_of_points / len(data)
gen = "f%s 0 %s -8 " % (fnumber, number_of_points)
for i in data:
gen += "%s %s " % (i, step)
... | src/csound/orchestra.py | def gen08(fnumber, data, number_of_points=16777216, comment=None):
"""
http://www.csounds.com/manual/html/GEN08.html
"""
# generate parts off data
step = number_of_points / len(data)
gen = "f%s 0 %s -8 " % (fnumber, number_of_points)
for i in data:
gen += "%s %s " % (i, step)
... | 0.582729 | 0.309787 |
from django import forms
from django.contrib.auth.models import User
from django.contrib.auth import authenticate
from crispy_forms.helper import FormHelper
from crispy_forms.layout import Layout, Fieldset, ButtonHolder, Submit
class LoginForm(forms.Form):
username = forms.CharField(label="Username:", max... | watpi/apps/login/forms.py | from django import forms
from django.contrib.auth.models import User
from django.contrib.auth import authenticate
from crispy_forms.helper import FormHelper
from crispy_forms.layout import Layout, Fieldset, ButtonHolder, Submit
class LoginForm(forms.Form):
username = forms.CharField(label="Username:", max... | 0.232049 | 0.056783 |
import getpass
import re
import tempfile
from binascii import hexlify, unhexlify
import pytest
from ..crypto import bytes_to_long, num_aes_blocks
from ..helpers import Location
from ..helpers import Chunk
from ..helpers import IntegrityError
from ..key import PlaintextKey, PassphraseKey, KeyfileKey, Passphrase, Passw... | src/borg/testsuite/key.py | import getpass
import re
import tempfile
from binascii import hexlify, unhexlify
import pytest
from ..crypto import bytes_to_long, num_aes_blocks
from ..helpers import Location
from ..helpers import Chunk
from ..helpers import IntegrityError
from ..key import PlaintextKey, PassphraseKey, KeyfileKey, Passphrase, Passw... | 0.396302 | 0.299377 |
import os
import discord
from discord.ext import commands
from dotenv import load_dotenv
from markov_generator import generate
from jep_functions import parse_jep, clean_answer
import asyncio
import json
import requests
import time
import re
import random
load_dotenv()
TOKEN = os.getenv('DISCORD_TOKEN')
client = co... | bot.py | 0.096376 | 0.185228 | |
import frappe
from frappe.utils import flt
from erpnext.controllers.buying_controller import BuyingController
from erpnext.controllers.selling_controller import SellingController
from erpnext.stock.doctype.stock_entry.stock_entry import StockEntry
import erpnext.accounts.party
def update_ordered_and_reserved_qty(self... | repost_sles/overrides.py | import frappe
from frappe.utils import flt
from erpnext.controllers.buying_controller import BuyingController
from erpnext.controllers.selling_controller import SellingController
from erpnext.stock.doctype.stock_entry.stock_entry import StockEntry
import erpnext.accounts.party
def update_ordered_and_reserved_qty(self... | 0.226869 | 0.169234 |
DEFAULT_EP = "http://api.moodstocks.com/v2"
from requests.auth import HTTPDigestAuth
import requests
import json
import os
import base64
version = '0.1'
codes = requests.codes
def b64_encode(s):
"""
Encode input string with base64url safe without padding scheme.
"""
return base64.urlsafe_b64encode(... | python/moodstocks.py | DEFAULT_EP = "http://api.moodstocks.com/v2"
from requests.auth import HTTPDigestAuth
import requests
import json
import os
import base64
version = '0.1'
codes = requests.codes
def b64_encode(s):
"""
Encode input string with base64url safe without padding scheme.
"""
return base64.urlsafe_b64encode(... | 0.785597 | 0.272 |
from __future__ import print_function
import mock
from chromite.cbuildbot import commands
from chromite.cbuildbot import manifest_version
from chromite.cbuildbot import prebuilts
from chromite.cbuildbot.stages import completion_stages
from chromite.cbuildbot.stages import generic_stages
from chromite.cbuildbot.stages... | cbuildbot/stages/completion_stages_unittest.py | from __future__ import print_function
import mock
from chromite.cbuildbot import commands
from chromite.cbuildbot import manifest_version
from chromite.cbuildbot import prebuilts
from chromite.cbuildbot.stages import completion_stages
from chromite.cbuildbot.stages import generic_stages
from chromite.cbuildbot.stages... | 0.755366 | 0.170992 |
from PyQt5.QtCore import qInstallMessageHandler
from PyQt5.QtCore import qDebug, QtInfoMsg, QtWarningMsg, QtCriticalMsg, QtFatalMsg
from PyQt5.QtCore import QObject, pyqtSlot, pyqtSignal, pyqtProperty
import logging
class SignalStreamHandler(QObject, logging.StreamHandler):
logEvent = pyqtSignal(str, str, str, st... | Logger.py |
from PyQt5.QtCore import qInstallMessageHandler
from PyQt5.QtCore import qDebug, QtInfoMsg, QtWarningMsg, QtCriticalMsg, QtFatalMsg
from PyQt5.QtCore import QObject, pyqtSlot, pyqtSignal, pyqtProperty
import logging
class SignalStreamHandler(QObject, logging.StreamHandler):
logEvent = pyqtSignal(str, str, str, st... | 0.424531 | 0.072472 |
import os
import sys
sys.path.insert(0, os.path.dirname('__file__'))
from unittest.mock import patch, call, Mock
import lib.nonogram as nonogram
def test_ModeData_initialisation_empty():
mode_data = nonogram.ModeData()
assert mode_data.fig == None
assert mode_data.image == None
assert mode_data.wait ... | tests/test_ModeData_class.py | import os
import sys
sys.path.insert(0, os.path.dirname('__file__'))
from unittest.mock import patch, call, Mock
import lib.nonogram as nonogram
def test_ModeData_initialisation_empty():
mode_data = nonogram.ModeData()
assert mode_data.fig == None
assert mode_data.image == None
assert mode_data.wait ... | 0.559049 | 0.671151 |
from collections import OrderedDict
from copy import deepcopy
from random import randint, choice
from plenum.common.util import randomString
from state.db.persistent_db import PersistentDB
from state.trie.pruning_trie import Trie, rlp_encode, rlp_decode
from storage.kv_in_memory import KeyValueStorageInMemory
def ge... | state/test/trie/test_proof.py | from collections import OrderedDict
from copy import deepcopy
from random import randint, choice
from plenum.common.util import randomString
from state.db.persistent_db import PersistentDB
from state.trie.pruning_trie import Trie, rlp_encode, rlp_decode
from storage.kv_in_memory import KeyValueStorageInMemory
def ge... | 0.592431 | 0.456713 |
import sys
sys.path.append('../')
from django.contrib.auth.forms import UserCreationForm
from django.shortcuts import render
from .forms import ContactForm
from django.http import HttpResponse
from mysite.model.main import Main
def _form_view(request, template_name='basic.html', form_class=ContactForm):
if reque... | mysite/views.py | import sys
sys.path.append('../')
from django.contrib.auth.forms import UserCreationForm
from django.shortcuts import render
from .forms import ContactForm
from django.http import HttpResponse
from mysite.model.main import Main
def _form_view(request, template_name='basic.html', form_class=ContactForm):
if reque... | 0.13759 | 0.165054 |
import requests
import aiohttp
import asyncio
import datetime
import json
from os import getenv
from urllib.parse import urlparse, urlunparse
from urllib3.util import Retry
class DistributedApiTaskManager:
def __init__(self):
self.cache_connector_upsert_url = getenv('CACHE_CONNECTOR_UPSERT_URI')
se... | APIs/1.0/Common/task_management/distributed_api_task.py | import requests
import aiohttp
import asyncio
import datetime
import json
from os import getenv
from urllib.parse import urlparse, urlunparse
from urllib3.util import Retry
class DistributedApiTaskManager:
def __init__(self):
self.cache_connector_upsert_url = getenv('CACHE_CONNECTOR_UPSERT_URI')
se... | 0.308711 | 0.064007 |
import json
import logging
import os
from xml.etree import ElementTree as ET
from typing import Dict
import aiohttp
import aiohttp.web_request
from aiohttp import web
from async_lru import alru_cache
from lxml.html import document_fromstring, HtmlElement
logging.basicConfig()
logger = logging.getLogger(__name__)
logg... | main.py | import json
import logging
import os
from xml.etree import ElementTree as ET
from typing import Dict
import aiohttp
import aiohttp.web_request
from aiohttp import web
from async_lru import alru_cache
from lxml.html import document_fromstring, HtmlElement
logging.basicConfig()
logger = logging.getLogger(__name__)
logg... | 0.370909 | 0.099208 |
import argparse
import os
from itertools import combinations, product
from multiprocessing import Pool
import networkx as nx
import pandas as pd
from custom_utils import get_jaccard, get_structures_added, load_json
from statics import STRUCTURE_TYPES
def get_product_graph(g1, g2, graphicspath, resultspath):
o1 ... | code/compute_structure_alignment.py | import argparse
import os
from itertools import combinations, product
from multiprocessing import Pool
import networkx as nx
import pandas as pd
from custom_utils import get_jaccard, get_structures_added, load_json
from statics import STRUCTURE_TYPES
def get_product_graph(g1, g2, graphicspath, resultspath):
o1 ... | 0.438304 | 0.36574 |
__facility__ = "Online"
__abstract__ = __doc__
__author__ = "<NAME>"
__date__ = "$Date: 2008/02/15 22:48:21 $"
__version__ = "$Revision: 1.1 $, $Author: fewtrell $"
__release__ = "$Name: $"
__credits__ = "NRL code 7650"
def ROOTFit(func,
xpts,
ypts,... | python/lib/ROOTFit.py | __facility__ = "Online"
__abstract__ = __doc__
__author__ = "<NAME>"
__date__ = "$Date: 2008/02/15 22:48:21 $"
__version__ = "$Revision: 1.1 $, $Author: fewtrell $"
__release__ = "$Name: $"
__credits__ = "NRL code 7650"
def ROOTFit(func,
xpts,
ypts,... | 0.622574 | 0.269927 |
import hashlib
from django.contrib.auth import get_user_model
from django.contrib.auth.hashers import make_password
from django.db.models import Q
from django import forms
from django.utils import timezone
from django.utils.translation import ugettext_lazy as _
from dateutil.relativedelta import relativedelta
from .... | payslip/forms.py | import hashlib
from django.contrib.auth import get_user_model
from django.contrib.auth.hashers import make_password
from django.db.models import Q
from django import forms
from django.utils import timezone
from django.utils.translation import ugettext_lazy as _
from dateutil.relativedelta import relativedelta
from .... | 0.547706 | 0.099733 |
from typing import Any, Dict, Iterable, List, Optional
import requests
from .camunda_models import ProcessDefinition, Task, factory
from .client import get_client
from .types import CamundaId, ProcessVariables
from .utils import deserialize_variable, serialize_variable
def get_process_definitions() -> List[ProcessD... | django_camunda/api.py | from typing import Any, Dict, Iterable, List, Optional
import requests
from .camunda_models import ProcessDefinition, Task, factory
from .client import get_client
from .types import CamundaId, ProcessVariables
from .utils import deserialize_variable, serialize_variable
def get_process_definitions() -> List[ProcessD... | 0.680242 | 0.139983 |
from os import urandom
from gmpy2 import next_prime
from random import randrange, getrandbits
from Crypto.Cipher import AES
from fastecdsa.curve import Curve
def bytes_to_long(data):
return int.from_bytes(data, 'big')
def generate_random_point(p):
while True:
a, x, y = (randrange(0, p) for _ in ran... | Aero/2021/crypto/horcrux/horcrux.py |
from os import urandom
from gmpy2 import next_prime
from random import randrange, getrandbits
from Crypto.Cipher import AES
from fastecdsa.curve import Curve
def bytes_to_long(data):
return int.from_bytes(data, 'big')
def generate_random_point(p):
while True:
a, x, y = (randrange(0, p) for _ in ran... | 0.592549 | 0.335242 |
import torch
import torch.nn as nn
from torch import Tensor
from .Embedding import PositionalEmbedding
from .loss import SCELoss
from utils import generate_square_subsequent_mask
from typing import List, Tuple, Optional
class CapDecoder(nn.Module):
def __init__(self, num_layers, embed_dim, nhead, dim_feedforward... | model/CapDecoder.py | import torch
import torch.nn as nn
from torch import Tensor
from .Embedding import PositionalEmbedding
from .loss import SCELoss
from utils import generate_square_subsequent_mask
from typing import List, Tuple, Optional
class CapDecoder(nn.Module):
def __init__(self, num_layers, embed_dim, nhead, dim_feedforward... | 0.951154 | 0.472623 |
from antlr4 import *
from io import StringIO
from typing.io import TextIO
import sys
def serializedATN():
with StringIO() as buf:
buf.write("\3\u608b\ua72a\u8133\ub9ed\u417c\u3be7\u7786\u5964\2\66")
buf.write("\u0164\b\1\4\2\t\2\4\3\t\3\4\4\t\4\4\5\t\5\4\6\t\6\4\7")
buf.write("\t\7\4\b\t\... | ToyCLexer.py | from antlr4 import *
from io import StringIO
from typing.io import TextIO
import sys
def serializedATN():
with StringIO() as buf:
buf.write("\3\u608b\ua72a\u8133\ub9ed\u417c\u3be7\u7786\u5964\2\66")
buf.write("\u0164\b\1\4\2\t\2\4\3\t\3\4\4\t\4\4\5\t\5\4\6\t\6\4\7")
buf.write("\t\7\4\b\t\... | 0.218836 | 0.271867 |
__author__ = "<NAME>"
# Character class to create character objects with stats
# Will have character stat manager to manage base stats plus pots (default maxed)
class Character:
# unfortunately, "def" is a keyword :)
# slots are objects of items which contain active stats
def __init__(self, life, mana, att... | src/functions/character.py | __author__ = "<NAME>"
# Character class to create character objects with stats
# Will have character stat manager to manage base stats plus pots (default maxed)
class Character:
# unfortunately, "def" is a keyword :)
# slots are objects of items which contain active stats
def __init__(self, life, mana, att... | 0.748812 | 0.243204 |
import socket
import select
from .parser import Parser
from .ports import MultiPort, BaseIOPort
from .py2 import PY2
def _is_readable(socket):
"""Return True if there is data to be read on the socket."""
timeout = 0
(rlist, wlist, elist) = select.select(
[socket.fileno()], [], [], timeout)
... | mido/sockets.py | import socket
import select
from .parser import Parser
from .ports import MultiPort, BaseIOPort
from .py2 import PY2
def _is_readable(socket):
"""Return True if there is data to be read on the socket."""
timeout = 0
(rlist, wlist, elist) = select.select(
[socket.fileno()], [], [], timeout)
... | 0.652352 | 0.098903 |
from lxml import etree
from enum import Enum
import sys
FileReaderStatus = Enum('FileReaderStatus', 'MODULE_FOUND MODULE_NOT_FOUND')
ParameterTypes = Enum('ParameterTypes', 'INTEGER FLOAT BOOLEAN STRING FUNCTION ENUMERATION')
ReferenceTypes = Enum('ReferenceTypes', 'SIMPLE_REFERENCE CHOICE_REFERENCE FOREIGN_REFERENCE ... | asrGenerator/autosarfileprocessor.py | from lxml import etree
from enum import Enum
import sys
FileReaderStatus = Enum('FileReaderStatus', 'MODULE_FOUND MODULE_NOT_FOUND')
ParameterTypes = Enum('ParameterTypes', 'INTEGER FLOAT BOOLEAN STRING FUNCTION ENUMERATION')
ReferenceTypes = Enum('ReferenceTypes', 'SIMPLE_REFERENCE CHOICE_REFERENCE FOREIGN_REFERENCE ... | 0.285272 | 0.074534 |
import matplotlib as mpl
mpl.use('agg')
import os
import numpy as np
import pylab as plt
import ngene as ng
from ngene.architectures.simple import architecture
import ccgpack as ccg
import tensorflow as tf
from tqdm import tqdm, trange
from scipy.stats import ttest_ind
cl = np.load('../data/cl_planck_lensed.npy')
sfs... | scripts/toy_strings.py | import matplotlib as mpl
mpl.use('agg')
import os
import numpy as np
import pylab as plt
import ngene as ng
from ngene.architectures.simple import architecture
import ccgpack as ccg
import tensorflow as tf
from tqdm import tqdm, trange
from scipy.stats import ttest_ind
cl = np.load('../data/cl_planck_lensed.npy')
sfs... | 0.229104 | 0.223896 |
import unittest
class Result(unittest.TestResult):
def __init__(self, test_id, queue):
super().__init__()
self._test_id = test_id
self._queue = queue
def startTestRun(self):
super().startTestRun()
data = {"id": self._test_id, "event": "start_test_run"}
self._q... | jupitest/host/result.py | import unittest
class Result(unittest.TestResult):
def __init__(self, test_id, queue):
super().__init__()
self._test_id = test_id
self._queue = queue
def startTestRun(self):
super().startTestRun()
data = {"id": self._test_id, "event": "start_test_run"}
self._q... | 0.422147 | 0.447279 |
import pytest
import factories_v2
import factories_v5
import setup_django # NOQA
import aeat
import aeat.rest_framework.validators as validators
'''
Test tagged as functional are are not run by default (see setup.cfg)
Copy .env-sample to .env and set the certificate paths
Enable the env vars with ```export `cat .... | tests/test_aeat_functional.py | import pytest
import factories_v2
import factories_v5
import setup_django # NOQA
import aeat
import aeat.rest_framework.validators as validators
'''
Test tagged as functional are are not run by default (see setup.cfg)
Copy .env-sample to .env and set the certificate paths
Enable the env vars with ```export `cat .... | 0.720565 | 0.73344 |
import xml.dom.minidom as minidom
import os.path
import os
import sys
import getopt
# validation
validation=False
#parameters
partest_1=0
partest_2=0
partest_3=0
partest_1_bool=False
partest_2_bool=False
partest_3_bool=False
# files
outputFilename=None
inputFilename=None
referenceXsd=None
def ma... | tests/xml/stub_dump.py |
import xml.dom.minidom as minidom
import os.path
import os
import sys
import getopt
# validation
validation=False
#parameters
partest_1=0
partest_2=0
partest_3=0
partest_1_bool=False
partest_2_bool=False
partest_3_bool=False
# files
outputFilename=None
inputFilename=None
referenceXsd=None
def ma... | 0.069633 | 0.087291 |
from PyQt5 import QtCore, QtWidgets, QtGui
import ctypes
from PyQt5.QtGui import QTextCursor
from PyQt5.QtWidgets import QFileDialog, QMessageBox, QColorDialog, QFormLayout, QLineEdit, QPushButton, QInputDialog, \
QWidget, QHBoxLayout, QDialog
import Utils
from Restore import Restore
from Settings import Settings
... | UI.py | from PyQt5 import QtCore, QtWidgets, QtGui
import ctypes
from PyQt5.QtGui import QTextCursor
from PyQt5.QtWidgets import QFileDialog, QMessageBox, QColorDialog, QFormLayout, QLineEdit, QPushButton, QInputDialog, \
QWidget, QHBoxLayout, QDialog
import Utils
from Restore import Restore
from Settings import Settings
... | 0.283087 | 0.045142 |
import torch
from mmcv.utils import print_log
from .base import BaseDataset
from .builder import DATASETS
from .utils import to_numpy
@DATASETS.register_module()
class SingleViewDataset(BaseDataset):
"""The dataset outputs one view of an image, containing some other
information such as label, idx, etc.
... | mmselfsup/datasets/single_view.py | import torch
from mmcv.utils import print_log
from .base import BaseDataset
from .builder import DATASETS
from .utils import to_numpy
@DATASETS.register_module()
class SingleViewDataset(BaseDataset):
"""The dataset outputs one view of an image, containing some other
information such as label, idx, etc.
... | 0.853471 | 0.464719 |
from typing import Optional, List
from biocommons.seqrepo import SeqRepo
from variation import SEQREPO_DATA_PATH
from os import environ
import logging
logger = logging.getLogger('variation')
logger.setLevel(logging.DEBUG)
class SeqRepoAccess:
"""The SeqRepoAccess class."""
def __init__(self, seqrepo_data_p... | variation/data_sources/seq_repo_access.py | from typing import Optional, List
from biocommons.seqrepo import SeqRepo
from variation import SEQREPO_DATA_PATH
from os import environ
import logging
logger = logging.getLogger('variation')
logger.setLevel(logging.DEBUG)
class SeqRepoAccess:
"""The SeqRepoAccess class."""
def __init__(self, seqrepo_data_p... | 0.936445 | 0.203411 |