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 concurrent.futures.thread import ThreadPoolExecutor
import functools
import os
import sys
import time
import pytest
import requests
import ray
from ray._private.test_utils import SignalActor, wait_for_condition
from ray import serve
from ray.serve.api import deploy_group
class TestGetDeployment:
def get_d... | python/ray/serve/tests/test_deploy_2.py | from concurrent.futures.thread import ThreadPoolExecutor
import functools
import os
import sys
import time
import pytest
import requests
import ray
from ray._private.test_utils import SignalActor, wait_for_condition
from ray import serve
from ray.serve.api import deploy_group
class TestGetDeployment:
def get_d... | 0.514644 | 0.261461 |
import numpy as np
from scipy.stats import chi2
from scipy.optimize import minimize
from scipy.stats import beta
def checkattr(classifier):
try:
assert(hasattr(classifier, "predict_proba"))
assert(hasattr(classifier, "fit"))
except:
return -1
return 0
def DKL(hx0, hx1):
epsilon... | BayesCCal.py | import numpy as np
from scipy.stats import chi2
from scipy.optimize import minimize
from scipy.stats import beta
def checkattr(classifier):
try:
assert(hasattr(classifier, "predict_proba"))
assert(hasattr(classifier, "fit"))
except:
return -1
return 0
def DKL(hx0, hx1):
epsilon... | 0.753285 | 0.673849 |
import os
import time
import unittest
from mars.compat import reload_module
class Test(unittest.TestCase):
def testStats(self):
from mars import resource
resource = reload_module(resource)
resource.cpu_percent()
mem_stats = resource.virtual_memory()
self.assertGreaterEqu... | mars/tests/test_resource.py |
import os
import time
import unittest
from mars.compat import reload_module
class Test(unittest.TestCase):
def testStats(self):
from mars import resource
resource = reload_module(resource)
resource.cpu_percent()
mem_stats = resource.virtual_memory()
self.assertGreaterEqu... | 0.392104 | 0.356363 |
import contextlib
import copy
import json
import shlex
from typing import Dict, List
@contextlib.contextmanager
def temp_defrost(cfg):
is_frozen = cfg.is_frozen()
if is_frozen:
cfg.defrost()
yield cfg
if is_frozen:
cfg.freeze()
def str_wrap_fbnet_arch_def(d: Dict, inplace=False) ->... | d2go/config/utils.py |
import contextlib
import copy
import json
import shlex
from typing import Dict, List
@contextlib.contextmanager
def temp_defrost(cfg):
is_frozen = cfg.is_frozen()
if is_frozen:
cfg.defrost()
yield cfg
if is_frozen:
cfg.freeze()
def str_wrap_fbnet_arch_def(d: Dict, inplace=False) ->... | 0.54359 | 0.227888 |
import logging
import os
import uuid
from abc import abstractmethod
from tempfile import TemporaryDirectory
import cloudpickle
from dq0.sdk.errors.errors import fatal_error
from dq0.sdk.projects import Project
logger = logging.getLogger(__name__)
class Model(Project):
"""Abstract base class for all models avai... | dq0/sdk/models/model.py | import logging
import os
import uuid
from abc import abstractmethod
from tempfile import TemporaryDirectory
import cloudpickle
from dq0.sdk.errors.errors import fatal_error
from dq0.sdk.projects import Project
logger = logging.getLogger(__name__)
class Model(Project):
"""Abstract base class for all models avai... | 0.804406 | 0.277669 |
load("//node:internal/node_utils.bzl", "execute")
load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")
NODE_TOOLCHAIN_BUILD_FILE = """
package(default_visibility = [ "//visibility:public" ])
exports_files(["bin/node", "bin/npm", "bin/tsc", "bin/yarn", "bin/bower"])
"""
def _mirror_path(ctx, workspace_... | node/internal/repositories.bzl | load("//node:internal/node_utils.bzl", "execute")
load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")
NODE_TOOLCHAIN_BUILD_FILE = """
package(default_visibility = [ "//visibility:public" ])
exports_files(["bin/node", "bin/npm", "bin/tsc", "bin/yarn", "bin/bower"])
"""
def _mirror_path(ctx, workspace_... | 0.229018 | 0.101233 |
from django.shortcuts import render, redirect, get_object_or_404
from django.contrib.auth import authenticate, login, logout, get_user_model
from chat.forms import LoginForm, RegisterForm, ComposeForm
from django.contrib.auth.decorators import login_required
from django.contrib import messages
from django.db.models i... | src/chat/views.py | from django.shortcuts import render, redirect, get_object_or_404
from django.contrib.auth import authenticate, login, logout, get_user_model
from chat.forms import LoginForm, RegisterForm, ComposeForm
from django.contrib.auth.decorators import login_required
from django.contrib import messages
from django.db.models i... | 0.299208 | 0.075278 |
from selenium.webdriver.common.by import By
from Browser import BrowserBot, url_changes, find_elements_in_sequence, element_is_clicked
from loguru import logger
import sys
# DECORATORS
def login_required(inner_func):
def wrapper(self):
if not self.logged_in:
self.login()
inner_func(sel... | Instagram.py | from selenium.webdriver.common.by import By
from Browser import BrowserBot, url_changes, find_elements_in_sequence, element_is_clicked
from loguru import logger
import sys
# DECORATORS
def login_required(inner_func):
def wrapper(self):
if not self.logged_in:
self.login()
inner_func(sel... | 0.286968 | 0.064095 |
from functools import wraps
from ..explanation.explanation import (
_aggregate_global_from_local_explanation,
_aggregate_streamed_local_explanations, _create_global_explanation)
from .constants import Defaults, ExplainParams, ModelTask
def init_aggregator_decorator(init_func):
"""Decorate a constructor t... | python/interpret_community/common/aggregate.py | from functools import wraps
from ..explanation.explanation import (
_aggregate_global_from_local_explanation,
_aggregate_streamed_local_explanations, _create_global_explanation)
from .constants import Defaults, ExplainParams, ModelTask
def init_aggregator_decorator(init_func):
"""Decorate a constructor t... | 0.922312 | 0.482429 |
import sys
import socket
from datetime import datetime
import nacl.secret
import nacl.utils
import base64
import psycopg2
from threading import Thread
def postsqlg():
conn = None
try:
conn = psycopg2.connect(host="localhost",database="temp", user="postgres", password=str(sys.argv[1]))
cur = conn.cursor()
cur.... | server.py | import sys
import socket
from datetime import datetime
import nacl.secret
import nacl.utils
import base64
import psycopg2
from threading import Thread
def postsqlg():
conn = None
try:
conn = psycopg2.connect(host="localhost",database="temp", user="postgres", password=str(sys.argv[1]))
cur = conn.cursor()
cur.... | 0.019842 | 0.096578 |
from smarts import db
from flask import jsonify, request
from smarts.models import Message, MessageSchema, message_schema
from webargs.flaskparser import use_args
from smarts.utils import validate_json_content_type, token_required
from smarts.messages import messages_bp
@messages_bp.route('/messages', methods=['GET']... | smarts/messages/messages.py | from smarts import db
from flask import jsonify, request
from smarts.models import Message, MessageSchema, message_schema
from webargs.flaskparser import use_args
from smarts.utils import validate_json_content_type, token_required
from smarts.messages import messages_bp
@messages_bp.route('/messages', methods=['GET']... | 0.476092 | 0.049245 |
from django.contrib.messages import constants
import os
from decouple import config
from pathlib import Path
# Build paths inside the project like this: BASE_DIR / 'subdir'.
BASE_DIR = Path(__file__).resolve().parent.parent
SECRET_KEY = config("SECRET_KEY")
DEBUG = config("DEBUG", default=False, cast=bool)
ALLOWED... | encurtador_de_link/settings.py | from django.contrib.messages import constants
import os
from decouple import config
from pathlib import Path
# Build paths inside the project like this: BASE_DIR / 'subdir'.
BASE_DIR = Path(__file__).resolve().parent.parent
SECRET_KEY = config("SECRET_KEY")
DEBUG = config("DEBUG", default=False, cast=bool)
ALLOWED... | 0.416678 | 0.069542 |
import whois
from dns import query
from urllib.parse import urlparse
import whois
import tldextract
import pandas as pd
import numpy as np
pd.set_option('display.max_columns', 10000)
pd.set_option('display.max_rows', 10000)
pd.set_option('display.max_colwidth', 10000)
pd.set_option('display.width',1000)
np.set_printop... | Feature Comparison/Whois.py | import whois
from dns import query
from urllib.parse import urlparse
import whois
import tldextract
import pandas as pd
import numpy as np
pd.set_option('display.max_columns', 10000)
pd.set_option('display.max_rows', 10000)
pd.set_option('display.max_colwidth', 10000)
pd.set_option('display.width',1000)
np.set_printop... | 0.073422 | 0.230811 |
__author__ = "<NAME>"
__copyright__ = "Copyright (c) 2020 <NAME>. All rights reserved."
__license__ = "MIT"
__version__ = "0.1"
from enum import IntEnum, unique
from typing import Any, Dict, List, Tuple
from simple_i2c import read_bytes, write_bytes
import struct, sys
# Globals
ADDR = 0x08 # bus address
@unique
c... | controller/i2c_comms.py |
__author__ = "<NAME>"
__copyright__ = "Copyright (c) 2020 <NAME>. All rights reserved."
__license__ = "MIT"
__version__ = "0.1"
from enum import IntEnum, unique
from typing import Any, Dict, List, Tuple
from simple_i2c import read_bytes, write_bytes
import struct, sys
# Globals
ADDR = 0x08 # bus address
@unique
c... | 0.448909 | 0.267974 |
"""Generated protocol buffer code."""
# third party
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)
_sym_db = ... | packages/syft/src/syft/proto/core/node/common/action/action_sequence_pb2.py | """Generated protocol buffer code."""
# third party
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)
_sym_db = ... | 0.497803 | 0.103749 |
import logging
from typing import Union
import numpy as np
import tensorflow as tf
from .external import TFEstimatorGLM, InputDataGLM, Model
from .external import closedform_beta_glm_logitmean, closedform_beta_glm_logsamplesize
from .estimator_graph import EstimatorGraph
from .model import ProcessModel
from .training... | batchglm/train/tf1/glm_beta/estimator.py | import logging
from typing import Union
import numpy as np
import tensorflow as tf
from .external import TFEstimatorGLM, InputDataGLM, Model
from .external import closedform_beta_glm_logitmean, closedform_beta_glm_logsamplesize
from .estimator_graph import EstimatorGraph
from .model import ProcessModel
from .training... | 0.936081 | 0.360883 |
import core.models
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import uuid
class Migration(migrations.Migration):
initial = True
dependencies = [
('auth', '0012_alter_user_first_name_max_length'),
]
operations = [
migra... | core/migrations/0001_initial.py |
import core.models
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import uuid
class Migration(migrations.Migration):
initial = True
dependencies = [
('auth', '0012_alter_user_first_name_max_length'),
]
operations = [
migra... | 0.489748 | 0.178418 |
from unittest import TestCase
from auto_rl.learning.policy import MLPActorCritic
import numpy as np
import torch as th
import gym
class TestMLPActorCritic(TestCase):
def __init__(self, *args, **kwargs):
super(TestMLPActorCritic, self).__init__(*args, **kwargs)
self.env = gym.make("Pendulum-v0")
... | algorithms/refactor/tests/learning/test_policy.py | from unittest import TestCase
from auto_rl.learning.policy import MLPActorCritic
import numpy as np
import torch as th
import gym
class TestMLPActorCritic(TestCase):
def __init__(self, *args, **kwargs):
super(TestMLPActorCritic, self).__init__(*args, **kwargs)
self.env = gym.make("Pendulum-v0")
... | 0.90684 | 0.677127 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from absl.testing import absltest
from validate import handler
from os import path
_TEST_DIR = path.dirname(path.realpath(__file__))
_TESTCASE_PATH = path.join(_TEST_DIR, 'fake_instances')
class HandlerTest(a... | tools/validators/instance_validator/tests/handler_test.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from absl.testing import absltest
from validate import handler
from os import path
_TEST_DIR = path.dirname(path.realpath(__file__))
_TESTCASE_PATH = path.join(_TEST_DIR, 'fake_instances')
class HandlerTest(a... | 0.466116 | 0.215371 |
from pathlib import Path
from typing import Generator
import pandas as pd
import typer
from cgr_gwas_qc.parsers import eigensoft, plink
from cgr_gwas_qc.typing import PathLike
app = typer.Typer(add_completion=False)
DTYPES = {
"population": "string",
"Subject_ID": "string",
"QC_Family_ID": "string",
... | src/cgr_gwas_qc/workflow/scripts/population_qc_table.py | from pathlib import Path
from typing import Generator
import pandas as pd
import typer
from cgr_gwas_qc.parsers import eigensoft, plink
from cgr_gwas_qc.typing import PathLike
app = typer.Typer(add_completion=False)
DTYPES = {
"population": "string",
"Subject_ID": "string",
"QC_Family_ID": "string",
... | 0.759404 | 0.420778 |
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Position',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=... | lab1/autosaloon/saloon/migrations/0001_initial.py |
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Position',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=... | 0.665954 | 0.196363 |
import os
from gym import error, spaces
from gym.utils import seeding
import numpy as np
from os import path
import gym
import six
import cythonized
from .mujoco.generated import const
class MujocoEnv(gym.Env):
"""
Superclass for all MuJoCo environments.
"""
def __init__(self, model_path, frame_ski... | gym2/mujoco_env.py | import os
from gym import error, spaces
from gym.utils import seeding
import numpy as np
from os import path
import gym
import six
import cythonized
from .mujoco.generated import const
class MujocoEnv(gym.Env):
"""
Superclass for all MuJoCo environments.
"""
def __init__(self, model_path, frame_ski... | 0.80837 | 0.362151 |
from django.shortcuts import render, redirect
from django.contrib.auth.models import User
from django.contrib import messages
from django.contrib.auth import authenticate, login, logout
from django.contrib.auth.decorators import login_required
from accounts.forms import RegistrationForm, LoginForm, ProfileForm
# Crea... | accounts/views.py | from django.shortcuts import render, redirect
from django.contrib.auth.models import User
from django.contrib import messages
from django.contrib.auth import authenticate, login, logout
from django.contrib.auth.decorators import login_required
from accounts.forms import RegistrationForm, LoginForm, ProfileForm
# Crea... | 0.252016 | 0.063482 |
import torch
from mmcls.models import ImageClassifier
from mmcv.runner import auto_fp16
from ..builder import ALGORITHMS
@ALGORITHMS.register_module()
class MMClsImageClassifierWrapper(ImageClassifier):
"""Workaround to use models from mmclassificaiton.
Since the output of classifier from mmclassification i... | mmselfsup/models/algorithms/mmcls_classifier_wrapper.py | import torch
from mmcls.models import ImageClassifier
from mmcv.runner import auto_fp16
from ..builder import ALGORITHMS
@ALGORITHMS.register_module()
class MMClsImageClassifierWrapper(ImageClassifier):
"""Workaround to use models from mmclassificaiton.
Since the output of classifier from mmclassification i... | 0.914178 | 0.359392 |
import unittest
from programy.config.file.yaml_file import YamlConfigurationFile
from programy.config.bot.sentiment import BotSentimentAnalyserConfiguration
from programy.clients.events.console.config import ConsoleConfiguration
class BotSentimentAnalyserConfigurationTests(unittest.TestCase):
def test_with_data... | test/programytest/config/bot/test_sentiment.py | import unittest
from programy.config.file.yaml_file import YamlConfigurationFile
from programy.config.bot.sentiment import BotSentimentAnalyserConfiguration
from programy.clients.events.console.config import ConsoleConfiguration
class BotSentimentAnalyserConfigurationTests(unittest.TestCase):
def test_with_data... | 0.504394 | 0.292317 |
from __future__ import annotations
import json
from time import sleep
import click
from pioreactor.background_jobs import stirring
from pioreactor.config import config
from pioreactor.logging import create_logger
from pioreactor.pubsub import publish
from pioreactor.pubsub import publish_to_pioreactor_cloud
from pio... | pioreactor/actions/stirring_calibration.py | from __future__ import annotations
import json
from time import sleep
import click
from pioreactor.background_jobs import stirring
from pioreactor.config import config
from pioreactor.logging import create_logger
from pioreactor.pubsub import publish
from pioreactor.pubsub import publish_to_pioreactor_cloud
from pio... | 0.695958 | 0.214671 |
import pygame
import time
import scripts.helpers as helpers
class Button(object):
def __init__(self, display, text, pos, size, inactive_col, active_col, font, reset_time=0.2):
self.last_pressed = time.time()
self.reset_time = reset_time
self.display = display
self.text = text
... | catkin/src/distributed_robot_system/src/nodes/scripts/widgets.py | import pygame
import time
import scripts.helpers as helpers
class Button(object):
def __init__(self, display, text, pos, size, inactive_col, active_col, font, reset_time=0.2):
self.last_pressed = time.time()
self.reset_time = reset_time
self.display = display
self.text = text
... | 0.309545 | 0.344195 |
__all__ = ["EntityWithNationality"]
import os
import six
import logging
import json
import tensorflow as tf
import tensorflow_datasets as tfds
from aispace.datasets import BaseDataset
from aispace.datasets import data_transformers as Transformer
_GLUE_CITATION = "TODO"
logger = logging.getLogger(__name__)
class... | aispace/datasets/entity_with_nationality.py |
__all__ = ["EntityWithNationality"]
import os
import six
import logging
import json
import tensorflow as tf
import tensorflow_datasets as tfds
from aispace.datasets import BaseDataset
from aispace.datasets import data_transformers as Transformer
_GLUE_CITATION = "TODO"
logger = logging.getLogger(__name__)
class... | 0.660829 | 0.29931 |
import shelve
import time
import sys, os
from operator import itemgetter
class EmailLogger:
def __init__(self, path=""):
self.path = os.path.normpath(path)
self.blockPath = os.path.normpath(os.path.dirname(path) + "/blocked_IPs.db")
def getNumberOfPosts(self, ipNr, secondsBack=None):
... | WS/email/logEmail.py |
import shelve
import time
import sys, os
from operator import itemgetter
class EmailLogger:
def __init__(self, path=""):
self.path = os.path.normpath(path)
self.blockPath = os.path.normpath(os.path.dirname(path) + "/blocked_IPs.db")
def getNumberOfPosts(self, ipNr, secondsBack=None):
... | 0.421909 | 0.161783 |
import numpy as np
import matplotlib.pyplot as plt
from mm2d.util import rotation_matrix
from matplotlib.animation import FFMpegWriter
class PointRenderer:
def __init__(self, p, color='k'):
self.p = p
self.color = color
def render(self, ax):
self.plot, = ax.plot(self.p[0], self.p[1], ... | mm2d/plotter.py | import numpy as np
import matplotlib.pyplot as plt
from mm2d.util import rotation_matrix
from matplotlib.animation import FFMpegWriter
class PointRenderer:
def __init__(self, p, color='k'):
self.p = p
self.color = color
def render(self, ax):
self.plot, = ax.plot(self.p[0], self.p[1], ... | 0.628293 | 0.579936 |
import random
import string
import pyperclip
class User:
'''
class that generate user objects
'''
user_list = []
def __init__(self, username, password):
'''
method that helps us define properties for our objects
'''
self.username = username
self.password = password
def save_user(s... | password.py | import random
import string
import pyperclip
class User:
'''
class that generate user objects
'''
user_list = []
def __init__(self, username, password):
'''
method that helps us define properties for our objects
'''
self.username = username
self.password = password
def save_user(s... | 0.332744 | 0.135318 |
class DavidStrategyLevel2:
def __init__(self, player_index):
self.player_index = player_index
self.name = 'berserk'
self.first_location=False
def decide_ship_movement(self, ship_index, game_state):
ship_coords = game_state['players'][self.player_index]['units'][ship_index]['coo... | files/strategies/cohort-1/level-2/david_strategy_level_2.py | class DavidStrategyLevel2:
def __init__(self, player_index):
self.player_index = player_index
self.name = 'berserk'
self.first_location=False
def decide_ship_movement(self, ship_index, game_state):
ship_coords = game_state['players'][self.player_index]['units'][ship_index]['coo... | 0.252937 | 0.381076 |
import numpy as np
import networkx as nx
from scipy.spatial.distance import cdist
from networkx.algorithms.dag import dag_longest_path
def compute_similarities(query_features, refer_features):
"""
用于计算两组特征(已经做过l2-norm)之间的相似度
Args:
query_features: shape: [N, D]
refer_features: shape: [M,... | app/controller/algorithms/retrieval_util.py | import numpy as np
import networkx as nx
from scipy.spatial.distance import cdist
from networkx.algorithms.dag import dag_longest_path
def compute_similarities(query_features, refer_features):
"""
用于计算两组特征(已经做过l2-norm)之间的相似度
Args:
query_features: shape: [N, D]
refer_features: shape: [M,... | 0.599368 | 0.584419 |
import json
import requests
import sys
from pyspark import SparkContext, SparkConf
from pyspark.streaming import StreamingContext
from pyspark.streaming.kafka import KafkaUtils
from pyspark.sql.functions import window
import numpy as np
from kafka import KafkaProducer
PHASENET_API_URL = "http://localhost:8000"
if __... | kafka-spark/spark.py | import json
import requests
import sys
from pyspark import SparkContext, SparkConf
from pyspark.streaming import StreamingContext
from pyspark.streaming.kafka import KafkaUtils
from pyspark.sql.functions import window
import numpy as np
from kafka import KafkaProducer
PHASENET_API_URL = "http://localhost:8000"
if __... | 0.320715 | 0.288506 |
import demistomock as demisto
from CommonServerPython import *
from CommonServerUserPython import *
import requests
import traceback
from typing import Dict, Any, Tuple
import base64
import json
from dateparser import parse
from pytz import utc
# Disable insecure warnings
requests.packages.urllib3.disable_warnings() ... | Packs/GuardiCore/Integrations/GuardiCoreV2/GuardiCoreV2.py | import demistomock as demisto
from CommonServerPython import *
from CommonServerUserPython import *
import requests
import traceback
from typing import Dict, Any, Tuple
import base64
import json
from dateparser import parse
from pytz import utc
# Disable insecure warnings
requests.packages.urllib3.disable_warnings() ... | 0.658308 | 0.109515 |
import os
import cv2
import json
labels = {
'102': 0,
'103': 1,
'104': 2,
'105': 3,
'106': 4,
'107': 5,
'108': 6,
'109': 7,
'110': 8,
'111': 9,
'112': 10,
'201': 11,
'202': 12,
'203': 13,
'204': 14,
'205': 15,
'206': 16,
'207': 17,
'301': 18... | star2020/process_classification/genTrueDetectImage.py | import os
import cv2
import json
labels = {
'102': 0,
'103': 1,
'104': 2,
'105': 3,
'106': 4,
'107': 5,
'108': 6,
'109': 7,
'110': 8,
'111': 9,
'112': 10,
'201': 11,
'202': 12,
'203': 13,
'204': 14,
'205': 15,
'206': 16,
'207': 17,
'301': 18... | 0.097482 | 0.240117 |
import cv2
from basecam import BaseCam
from util import apply_doc, get_cascade_file_path, is_escape, wait_frames
class HaarCam(BaseCam):
"""
Webcam that performs Haar Cascade object detection on the video stream.
"""
@apply_doc(BaseCam.__init__)
def __init__(self, window):
super(HaarCam,... | cannycam/haarcam.py | import cv2
from basecam import BaseCam
from util import apply_doc, get_cascade_file_path, is_escape, wait_frames
class HaarCam(BaseCam):
"""
Webcam that performs Haar Cascade object detection on the video stream.
"""
@apply_doc(BaseCam.__init__)
def __init__(self, window):
super(HaarCam,... | 0.753376 | 0.14439 |
# Import an interfile volume as an Image3D and export.
from ...Transformation.Transformations import Transform_Scale
from ...DataSources.FileSources.interfile import load_interfile
import os
import numpy as np
__all__ = ["import_interfile_volume", "export_interfile_volume"]
def import_interfile_volume_data(
... | tomolab/DataSources/PET/PET_volume.py |
# Import an interfile volume as an Image3D and export.
from ...Transformation.Transformations import Transform_Scale
from ...DataSources.FileSources.interfile import load_interfile
import os
import numpy as np
__all__ = ["import_interfile_volume", "export_interfile_volume"]
def import_interfile_volume_data(
... | 0.415966 | 0.49762 |
from __future__ import absolute_import
from builtins import object
from flask.json import JSONEncoder
class DynamicJSONEncoder(JSONEncoder):
""" JSON encoder for custom classes:
Uses __json__() method if available to prepare the object.
Especially useful for SQLAlchemy models
"""
def de... | flask_jsontools/formatting.py | from __future__ import absolute_import
from builtins import object
from flask.json import JSONEncoder
class DynamicJSONEncoder(JSONEncoder):
""" JSON encoder for custom classes:
Uses __json__() method if available to prepare the object.
Especially useful for SQLAlchemy models
"""
def de... | 0.734596 | 0.316224 |
from django.db import models
from django.db.models import Q
import random, os
from django.db.models.signals import pre_save
from django.urls import reverse
from .utils import unique_slug_generator
# Create your models here.
def get_ext(filepath):
base_name = os.path.basename(filepath)
name, ext = os.path.spl... | src/products/models.py | from django.db import models
from django.db.models import Q
import random, os
from django.db.models.signals import pre_save
from django.urls import reverse
from .utils import unique_slug_generator
# Create your models here.
def get_ext(filepath):
base_name = os.path.basename(filepath)
name, ext = os.path.spl... | 0.476336 | 0.107204 |
import configparser
import datetime
import json
import logging
import multiprocessing
import os
import random
import socket
import sys
import time
from datetime import date
from queue import Full
import requests
from dotenv import load_dotenv
from europarl import configuration
from europarl.db import (
DBInterfac... | europarl/jobs/crawler.py | import configparser
import datetime
import json
import logging
import multiprocessing
import os
import random
import socket
import sys
import time
from datetime import date
from queue import Full
import requests
from dotenv import load_dotenv
from europarl import configuration
from europarl.db import (
DBInterfac... | 0.211417 | 0.043305 |
from __future__ import absolute_import
import argparse
import os
import subprocess
VERSION = '1.13.1'
REPO = 'sagemaker-tensorflow-scriptmode'
PY2_CPU_BINARY = 'https://s3-us-west-2.amazonaws.com/tensorflow-aws/1.13/AmazonLinux/cpu/latest-patch-latest-patch/tensorflow-1.13.1-cp27-cp27mu-linux_x86_64.whl' # noqa
PY3_C... | scripts/build_all.py | from __future__ import absolute_import
import argparse
import os
import subprocess
VERSION = '1.13.1'
REPO = 'sagemaker-tensorflow-scriptmode'
PY2_CPU_BINARY = 'https://s3-us-west-2.amazonaws.com/tensorflow-aws/1.13/AmazonLinux/cpu/latest-patch-latest-patch/tensorflow-1.13.1-cp27-cp27mu-linux_x86_64.whl' # noqa
PY3_C... | 0.506836 | 0.066995 |
from unittest import TestCase
import odmlib.odm_1_3_2.model as ODM
import odmlib.odm_parser as ODM_PARSER
import os
import datetime
class TestClinicalData(TestCase):
def setUp(self) -> None:
self.odm_test_file = os.path.join(os.path.dirname(os.path.realpath(__file__)), 'data','test_clinical_data_01.xml')
... | tests/test_clinicalData.py | from unittest import TestCase
import odmlib.odm_1_3_2.model as ODM
import odmlib.odm_parser as ODM_PARSER
import os
import datetime
class TestClinicalData(TestCase):
def setUp(self) -> None:
self.odm_test_file = os.path.join(os.path.dirname(os.path.realpath(__file__)), 'data','test_clinical_data_01.xml')
... | 0.25992 | 0.285066 |
import numpy as np
from QuantOPT.models import BaseModels
class MaxRiskAdjReturn(BaseModels):
"""
the class for Maximum Risk Adjust Return Optimization(MRAO)
requires:
sigma2: the sigma2 function 协方差矩阵
lambda_r: 风险厌恶系数
portfolio_return: 组合收益率
TC function: the TC function
... | QuantOPT/models/model_MaxRiskAdjReturn.py | import numpy as np
from QuantOPT.models import BaseModels
class MaxRiskAdjReturn(BaseModels):
"""
the class for Maximum Risk Adjust Return Optimization(MRAO)
requires:
sigma2: the sigma2 function 协方差矩阵
lambda_r: 风险厌恶系数
portfolio_return: 组合收益率
TC function: the TC function
... | 0.763484 | 0.487368 |
import unittest
from unittest.mock import patch
from unittest.mock import Mock
import os
from programy.services.rest.google.distance.service import GoogleDistanceService
from programy.services.config import ServiceConfiguration
from programy.services.config import ServiceRESTConfiguration
from programytest.services.tes... | test/programytest/services/rest/google/distance/test_service.py | import unittest
from unittest.mock import patch
from unittest.mock import Mock
import os
from programy.services.rest.google.distance.service import GoogleDistanceService
from programy.services.config import ServiceConfiguration
from programy.services.config import ServiceRESTConfiguration
from programytest.services.tes... | 0.718693 | 0.344885 |
from django import forms
class ProfileForm(forms.Form):
first_name = forms.CharField(
required=True,
label='First Name:',
max_length=32,
widget=forms.TextInput(
attrs={'class': 'form-control'}))
last_name = forms.CharField(
required=True,
label='Last... | ad2dispatch/userprofiles/forms.py | from django import forms
class ProfileForm(forms.Form):
first_name = forms.CharField(
required=True,
label='First Name:',
max_length=32,
widget=forms.TextInput(
attrs={'class': 'form-control'}))
last_name = forms.CharField(
required=True,
label='Last... | 0.422624 | 0.103749 |
from __future__ import absolute_import
from flask import current_app, g
from utils.response import output_json
from utils.request import get_args, get_param
from utils.misc import parse_int, now
from utils.model import make_offset_paginator, attach_extend
from helpers.record import recording
from apiresps.validation... | server/blueprints/store/controllers/book.py | from __future__ import absolute_import
from flask import current_app, g
from utils.response import output_json
from utils.request import get_args, get_param
from utils.misc import parse_int, now
from utils.model import make_offset_paginator, attach_extend
from helpers.record import recording
from apiresps.validation... | 0.508544 | 0.168515 |
import asyncio
import json
from unittest import TestCase
from unittest.mock import AsyncMock, patch
from typing import Any, Dict
from hummingbot.connector.exchange.bitmart.bitmart_auth import BitmartAuth
import hummingbot.connector.exchange.bitmart.bitmart_constants as CONSTANTS
from hummingbot.connector.exchange.bitm... | test/hummingbot/connector/exchange/bitmart/test_bitmart_user_stream_tracker.py | import asyncio
import json
from unittest import TestCase
from unittest.mock import AsyncMock, patch
from typing import Any, Dict
from hummingbot.connector.exchange.bitmart.bitmart_auth import BitmartAuth
import hummingbot.connector.exchange.bitmart.bitmart_constants as CONSTANTS
from hummingbot.connector.exchange.bitm... | 0.764804 | 0.233969 |
import cPickle as pickle
import functools
import logging
import os
import re
import cloudstorage as gcs
import jinja2
import webapp2
from google.appengine.api import urlfetch
from google.appengine.api import memcache
from webapp2_extras import sessions
from webapp2_extras import security
import secrets
import filte... | gubernator/view_base.py |
import cPickle as pickle
import functools
import logging
import os
import re
import cloudstorage as gcs
import jinja2
import webapp2
from google.appengine.api import urlfetch
from google.appengine.api import memcache
from webapp2_extras import sessions
from webapp2_extras import security
import secrets
import filte... | 0.627609 | 0.085595 |
# Imports
import argparse
import logging
from json import dumps, loads
from random import choice
from wget import download
from pathlib import Path
from datetime import date, timedelta, datetime
# Calendar integration
from google.auth.transport.requests import Request
from google.oauth2.credentials import Credentials... | mealplanner.py | # Imports
import argparse
import logging
from json import dumps, loads
from random import choice
from wget import download
from pathlib import Path
from datetime import date, timedelta, datetime
# Calendar integration
from google.auth.transport.requests import Request
from google.oauth2.credentials import Credentials... | 0.358465 | 0.105027 |
from __future__ import division
from __future__ import print_function
import sys
from six.moves import xrange
import numpy as np
from sklearn.preprocessing import StandardScaler
from sklearn.feature_selection import VarianceThreshold
from sklearn.feature_selection import SelectKBest, RFE, f_classif
from sklearn.svm i... | lib/segmentation/form_feature_selection.py | from __future__ import division
from __future__ import print_function
import sys
from six.moves import xrange
import numpy as np
from sklearn.preprocessing import StandardScaler
from sklearn.feature_selection import VarianceThreshold
from sklearn.feature_selection import SelectKBest, RFE, f_classif
from sklearn.svm i... | 0.572006 | 0.325145 |
import pandas as pd
from gplearn.genetic import SymbolicTransformer
from sklearn.model_selection import train_test_split
class GPConfig:
def __init__(self, feature_cols, target_col, generation=1000, population_size=5000, hall_of_fame=100,
n_components=10,
parsimony_coefficient=0.... | src/tabular/feature_engineering/feature_generator/symbolic_learning.py | import pandas as pd
from gplearn.genetic import SymbolicTransformer
from sklearn.model_selection import train_test_split
class GPConfig:
def __init__(self, feature_cols, target_col, generation=1000, population_size=5000, hall_of_fame=100,
n_components=10,
parsimony_coefficient=0.... | 0.840946 | 0.315413 |
from typing import Optional
from fastapi import (
APIRouter,
Depends,
HTTPException,
Response,
status,
)
from sqlalchemy.orm import Session
from . import crud
from .deps import get_db
from .schemas import Ticket, Train, TrainCreate
router = APIRouter(prefix="/trains")
@router.get("", response_m... | ch14/api_code/api/trains.py | from typing import Optional
from fastapi import (
APIRouter,
Depends,
HTTPException,
Response,
status,
)
from sqlalchemy.orm import Session
from . import crud
from .deps import get_db
from .schemas import Ticket, Train, TrainCreate
router = APIRouter(prefix="/trains")
@router.get("", response_m... | 0.71423 | 0.071364 |
import argparse
class TrainOptions():
def __init__(self):
self.parser = argparse.ArgumentParser()
# data loader related
self.parser.add_argument('--dataroot', type=str, required=True, help='path of data')
self.parser.add_argument('--phase', type=str, default='train', help='phase for dataloading')
... | options.py | import argparse
class TrainOptions():
def __init__(self):
self.parser = argparse.ArgumentParser()
# data loader related
self.parser.add_argument('--dataroot', type=str, required=True, help='path of data')
self.parser.add_argument('--phase', type=str, default='train', help='phase for dataloading')
... | 0.625209 | 0.094761 |
"""Evaluation configurations."""
import itertools
import math
import numpy as np
from wfa_cardinality_estimation_evaluation_framework.estimators import bloom_filter_sketch_operators
from wfa_cardinality_estimation_evaluation_framework.estimators import bloom_filters
from wfa_cardinality_estimation_evaluation_framework... | src/evaluations/data/evaluation_configs.py | """Evaluation configurations."""
import itertools
import math
import numpy as np
from wfa_cardinality_estimation_evaluation_framework.estimators import bloom_filter_sketch_operators
from wfa_cardinality_estimation_evaluation_framework.estimators import bloom_filters
from wfa_cardinality_estimation_evaluation_framework... | 0.808105 | 0.313683 |
from enum import Enum
import os
import time
import tkinter as tk
from tkinter import ttk
from typing import Iterable
# Local library
from .tree_evts import TreeEvt, TreeEvts
from .utils import ascii_bell
# === Enumerations =================================================================================
class Event(T... | MA/gui/dirview.py | from enum import Enum
import os
import time
import tkinter as tk
from tkinter import ttk
from typing import Iterable
# Local library
from .tree_evts import TreeEvt, TreeEvts
from .utils import ascii_bell
# === Enumerations =================================================================================
class Event(T... | 0.693473 | 0.095645 |
from odoo.addons.hr_expense.tests.common import TestExpenseCommon
from odoo.tests import tagged
@tagged('-at_install', 'post_install')
class TestExpensesMailImport(TestExpenseCommon):
@classmethod
def setUpClass(cls, chart_template_ref=None):
super().setUpClass(chart_template_ref=chart_template_ref)
... | addons/hr_expense/tests/test_expenses_mail_import.py | from odoo.addons.hr_expense.tests.common import TestExpenseCommon
from odoo.tests import tagged
@tagged('-at_install', 'post_install')
class TestExpensesMailImport(TestExpenseCommon):
@classmethod
def setUpClass(cls, chart_template_ref=None):
super().setUpClass(chart_template_ref=chart_template_ref)
... | 0.651466 | 0.268171 |
__all__ = ["call_wa", "call_wm", "subsubm", "subm", "mainmacro", "runsubs"]
__docformat__ = 'restructuredtext'
from sardana.macroserver.macro import Macro, Type, ParamRepeat
#-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-
# First example:
# A 'mainmacro' that executes a 'subm' that i... | src/sardana/macroserver/macros/examples/submacros.py | __all__ = ["call_wa", "call_wm", "subsubm", "subm", "mainmacro", "runsubs"]
__docformat__ = 'restructuredtext'
from sardana.macroserver.macro import Macro, Type, ParamRepeat
#-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-
# First example:
# A 'mainmacro' that executes a 'subm' that i... | 0.709724 | 0.177561 |
from dataclasses import dataclass
import datetime
import uuid
from dcbench.common.table import RowMixin
from typing import List
import os
import yaml
from .solution import Solution
from dcbench.config import config
@dataclass
class SolutionSet(RowMixin):
set_id: str
name: str
summary: str
task_id... | dcbench/common/solution_set.py | from dataclasses import dataclass
import datetime
import uuid
from dcbench.common.table import RowMixin
from typing import List
import os
import yaml
from .solution import Solution
from dcbench.config import config
@dataclass
class SolutionSet(RowMixin):
set_id: str
name: str
summary: str
task_id... | 0.751283 | 0.203332 |
from ipaddress import IPv4Address
from CybORG.Shared.Enums import SessionType, OperatingSystemType
from CybORG.Simulator.Entity import Entity
class Session(Entity):
def __init__(self, ident: int, host: str, username: str, agent: str,
pid: int, timeout: int = 0, session_type: str = 'shell', acti... | CybORG/CybORG/Simulator/Session.py | from ipaddress import IPv4Address
from CybORG.Shared.Enums import SessionType, OperatingSystemType
from CybORG.Simulator.Entity import Entity
class Session(Entity):
def __init__(self, ident: int, host: str, username: str, agent: str,
pid: int, timeout: int = 0, session_type: str = 'shell', acti... | 0.621196 | 0.207616 |
import re
import sys
import random
from typing import List, Tuple
import requests
from requests.models import Response
def find_links_in_text(text: str) -> List[str]:
"""Find links in a text and return a list of URLs."""
link_pattern = re.compile(r'((?:https?://|www\d{0,3}[.]|[a-z0-9.\-]+[.][a-z]{2,4}/)(?:... | scripts/validate/links.py |
import re
import sys
import random
from typing import List, Tuple
import requests
from requests.models import Response
def find_links_in_text(text: str) -> List[str]:
"""Find links in a text and return a list of URLs."""
link_pattern = re.compile(r'((?:https?://|www\d{0,3}[.]|[a-z0-9.\-]+[.][a-z]{2,4}/)(?:... | 0.610453 | 0.239249 |
import redis
from openpyxl import Workbook
import sys
import os
import time
import datetime
import platform
import rank_user
class Logger:
def info(self, *args):
print('[{}][info] {}'.format(datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S'),*args))
def error(self, *args):
print('[{}][error] {}'.... | python/export_data_1.py | import redis
from openpyxl import Workbook
import sys
import os
import time
import datetime
import platform
import rank_user
class Logger:
def info(self, *args):
print('[{}][info] {}'.format(datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S'),*args))
def error(self, *args):
print('[{}][error] {}'.... | 0.052741 | 0.061059 |
import copy
from django import forms
from django.db import connection
class AddInstituteForm(forms.Form):
name = forms.CharField(
label='Institute Name',
help_text='Enter the name of the institute here.',
min_length=1
)
city = forms.CharField(
label='City',
help_te... | creator/forms.py | import copy
from django import forms
from django.db import connection
class AddInstituteForm(forms.Form):
name = forms.CharField(
label='Institute Name',
help_text='Enter the name of the institute here.',
min_length=1
)
city = forms.CharField(
label='City',
help_te... | 0.479504 | 0.153105 |
import time
import os
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_condi... | pila.py | import time
import os
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_condi... | 0.255344 | 0.123551 |
from SocketServer import UDPServer
import socket, struct
from py2030.utils.color_terminal import ColorTerminal
try:
import OSC
except ImportError:
ColorTerminal().warn("importing embedded version of pyOSC library for py2030.utils.osc_broadcast_server")
import py2030.dependencies.OSC as OSC
class OscBroad... | py2030/utils/osc_broadcast_server.py | from SocketServer import UDPServer
import socket, struct
from py2030.utils.color_terminal import ColorTerminal
try:
import OSC
except ImportError:
ColorTerminal().warn("importing embedded version of pyOSC library for py2030.utils.osc_broadcast_server")
import py2030.dependencies.OSC as OSC
class OscBroad... | 0.420243 | 0.135375 |
import tempfile
import numpy as np
import pytest
from ravenpy.utilities.testdata import get_local_testdata
pytestmark = pytest.mark.online
# FIXME: Remove XFAIL marks once OWSLib > 0.24.1 is released.
class TestHydroBASINS:
geoserver = pytest.importorskip("ravenpy.utilities.geoserver")
fiona = pytest.imp... | tests/test_geoserver.py | import tempfile
import numpy as np
import pytest
from ravenpy.utilities.testdata import get_local_testdata
pytestmark = pytest.mark.online
# FIXME: Remove XFAIL marks once OWSLib > 0.24.1 is released.
class TestHydroBASINS:
geoserver = pytest.importorskip("ravenpy.utilities.geoserver")
fiona = pytest.imp... | 0.319121 | 0.576631 |
from nvflare.apis.dxo import DXO, DataKind, from_shareable
from nvflare.apis.fl_constant import ReturnCode
from nvflare.apis.fl_context import FLContext
from nvflare.apis.shareable import Shareable, make_reply
from nvflare.apis.signal import Signal
from nvflare.app_common.app_constant import AppConstants
from nvflare.... | tests/integration_test/data/apps/np_sag_weights_diff/custom/np_trainer.py |
from nvflare.apis.dxo import DXO, DataKind, from_shareable
from nvflare.apis.fl_constant import ReturnCode
from nvflare.apis.fl_context import FLContext
from nvflare.apis.shareable import Shareable, make_reply
from nvflare.apis.signal import Signal
from nvflare.app_common.app_constant import AppConstants
from nvflare.... | 0.72594 | 0.161949 |
__author__ = '<NAME> <<EMAIL>>'
__copyright__ = 'Copyright (c) 2013-2015, django ERP Team'
__version__ = '0.0.5'
from django.test import TestCase
from django.contrib.auth import get_user_model
from . import *
from ..models import *
from ..backends import *
class ObjectPermissionBackendTestCase(TestCase):
def t... | djangoerp/core/tests/test_backends.py | __author__ = '<NAME> <<EMAIL>>'
__copyright__ = 'Copyright (c) 2013-2015, django ERP Team'
__version__ = '0.0.5'
from django.test import TestCase
from django.contrib.auth import get_user_model
from . import *
from ..models import *
from ..backends import *
class ObjectPermissionBackendTestCase(TestCase):
def t... | 0.582966 | 0.262221 |
import time
import tkinter as tk
from tkinter import filedialog
import os
import base64
import hashlib
class Storage():
def __init__(self):
path = os.getcwd()
try:
os.mkdir(path + "/Storage")
except:
pass
def digest(self, string):
if not isinstance(str... | kademlia/storage.py | import time
import tkinter as tk
from tkinter import filedialog
import os
import base64
import hashlib
class Storage():
def __init__(self):
path = os.getcwd()
try:
os.mkdir(path + "/Storage")
except:
pass
def digest(self, string):
if not isinstance(str... | 0.174833 | 0.078113 |
from conans import ConanFile, CMake, tools
class GoogleBenchmarkConan(ConanFile):
name = "google-benchmark"
version = "1.4.1"
description = "A microbenchmark support library"
homepage = "https://github.com/google/benchmark"
license = "https://github.com/google/benchmark/blob/master/LICENSE"
ur... | conanfile.py |
from conans import ConanFile, CMake, tools
class GoogleBenchmarkConan(ConanFile):
name = "google-benchmark"
version = "1.4.1"
description = "A microbenchmark support library"
homepage = "https://github.com/google/benchmark"
license = "https://github.com/google/benchmark/blob/master/LICENSE"
ur... | 0.538498 | 0.216622 |
from tkinter import *
import tkinter as tk
from tkinter import ttk, messagebox
import pymysql
# ---------------------------------------------------------------Login Function --------------------------------------
def clear():
userentry.delete(0, END)
passentry.delete(0, END)
def close():
win.destroy()
... | Demo/Code/app.py |
from tkinter import *
import tkinter as tk
from tkinter import ttk, messagebox
import pymysql
# ---------------------------------------------------------------Login Function --------------------------------------
def clear():
userentry.delete(0, END)
passentry.delete(0, END)
def close():
win.destroy()
... | 0.212395 | 0.251073 |
import time
import uuid
import random
import Adafruit_BluefruitLE
DEVICE_NAME = "m5-stack"
# Define service and characteristic UUIDs used by the peripheral.
SERVICE_UUID = uuid.UUID('00001111-0000-1000-8000-00805F9B34FB')
TX_CHAR_UUID = uuid.UUID('00002222-0000-1000-8000-00805F9B34FB')
RX_CHAR_UUID = uuid.UUID('00002... | code/Raspberry Pi/OLD/ble_m5.py | import time
import uuid
import random
import Adafruit_BluefruitLE
DEVICE_NAME = "m5-stack"
# Define service and characteristic UUIDs used by the peripheral.
SERVICE_UUID = uuid.UUID('00001111-0000-1000-8000-00805F9B34FB')
TX_CHAR_UUID = uuid.UUID('00002222-0000-1000-8000-00805F9B34FB')
RX_CHAR_UUID = uuid.UUID('00002... | 0.410166 | 0.178204 |
from os import environ
import LibServer
from LibServer import app
import random
import string
from LibServer.admin import admin
from LibServer.browser import browser
from pidfile import PIDFile
from argparse import ArgumentParser
if __name__ == '__main__':
parser = ArgumentParser("libserv",
... | bin/runserver.py | from os import environ
import LibServer
from LibServer import app
import random
import string
from LibServer.admin import admin
from LibServer.browser import browser
from pidfile import PIDFile
from argparse import ArgumentParser
if __name__ == '__main__':
parser = ArgumentParser("libserv",
... | 0.272315 | 0.04888 |
import json
from functools import wraps
import collections
from django.http import JsonResponse, HttpResponse
from django.utils.translation import ugettext_lazy as _
from django.views.decorators.csrf import csrf_exempt
from djrad import types
from djrad.json_schema import validate_schema, validate_params, validate_pa... | djrad/decorators.py | import json
from functools import wraps
import collections
from django.http import JsonResponse, HttpResponse
from django.utils.translation import ugettext_lazy as _
from django.views.decorators.csrf import csrf_exempt
from djrad import types
from djrad.json_schema import validate_schema, validate_params, validate_pa... | 0.369998 | 0.164651 |
import pandas as pd
with open("prob10_input.txt", 'r') as f:
rawdata = f.readlines()
nums = [int(i) for i in rawdata]
nums_sorted = [0] + sorted(nums) + [max(nums) + 3]
df = pd.DataFrame({'n':nums_sorted})
df['differ'] = df.n.diff()
count1 = len(df[df.differ == 1])
count3 = len(df[df.differ == 3])
print(f"Prob 10 P... | 2020/prob10.py | import pandas as pd
with open("prob10_input.txt", 'r') as f:
rawdata = f.readlines()
nums = [int(i) for i in rawdata]
nums_sorted = [0] + sorted(nums) + [max(nums) + 3]
df = pd.DataFrame({'n':nums_sorted})
df['differ'] = df.n.diff()
count1 = len(df[df.differ == 1])
count3 = len(df[df.differ == 3])
print(f"Prob 10 P... | 0.208743 | 0.221414 |
from sys import stdout
import click
from auth0_login import fatal, setting
from auth0_login.aws.console import open_aws_console
from auth0_login.aws.credentials import write_aws_credentials
from auth0_login.aws.account import aws_accounts
from auth0_login.aws.saml_assertion import AWSSAMLAssertion
from auth0_login.sa... | auth0_login/aws/sts_command.py | from sys import stdout
import click
from auth0_login import fatal, setting
from auth0_login.aws.console import open_aws_console
from auth0_login.aws.credentials import write_aws_credentials
from auth0_login.aws.account import aws_accounts
from auth0_login.aws.saml_assertion import AWSSAMLAssertion
from auth0_login.sa... | 0.567577 | 0.105303 |
from torch.utils.data import Dataset, DataLoader
import torch
from PIL import Image
import glob
import os.path as osp
import os
import random
"""
Posibles mejoras:
- Comprobar image format es válido --> buscar en internet
- Comprobar parámetros de entrada
- get_image_name_wo_ext podría convertirse en una lambda
- Comp... | tools/dataset_jld.py | from torch.utils.data import Dataset, DataLoader
import torch
from PIL import Image
import glob
import os.path as osp
import os
import random
"""
Posibles mejoras:
- Comprobar image format es válido --> buscar en internet
- Comprobar parámetros de entrada
- get_image_name_wo_ext podría convertirse en una lambda
- Comp... | 0.596433 | 0.217712 |
import time, sys, math, random, csv
import pygame
from variables import *
from simplePredator import SimplePredator
from probPredator import ProbPredator
from smartPredator import SmartPredator
from coordPredator import CoordPredator
from simpleFish import SimpleFish
from advancedFish import AdvancedFish
from circFish ... | simulator.py | import time, sys, math, random, csv
import pygame
from variables import *
from simplePredator import SimplePredator
from probPredator import ProbPredator
from smartPredator import SmartPredator
from coordPredator import CoordPredator
from simpleFish import SimpleFish
from advancedFish import AdvancedFish
from circFish ... | 0.26693 | 0.193757 |
# In[2]:
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import tensorflow as tf
import pathlib
import os
# In[50]:
import tensorflow_datasets as tfds
from tensorflow.keras.layers import Dense, Conv2D, Flatten, Dropout, MaxPooling2D, SeparableConv2D
from tensorflow.keras import models
from te... | CNN_with_brigs.py |
# In[2]:
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import tensorflow as tf
import pathlib
import os
# In[50]:
import tensorflow_datasets as tfds
from tensorflow.keras.layers import Dense, Conv2D, Flatten, Dropout, MaxPooling2D, SeparableConv2D
from tensorflow.keras import models
from te... | 0.688678 | 0.5919 |
from azureml.core import Workspace, Environment
from azureml.core.conda_dependencies import CondaDependencies
from azureml.core.runconfig import RunConfiguration
from azureml.pipeline.core import Pipeline, PipelineEndpoint
from azureml.pipeline.core._restclients.aeva.models.error_response import ErrorResponseException
... | samples/kaldi-asr-yesno/ml_service/pipelines/build_pipeline.py | from azureml.core import Workspace, Environment
from azureml.core.conda_dependencies import CondaDependencies
from azureml.core.runconfig import RunConfiguration
from azureml.pipeline.core import Pipeline, PipelineEndpoint
from azureml.pipeline.core._restclients.aeva.models.error_response import ErrorResponseException
... | 0.660501 | 0.20091 |
class Node():
"""链表中的节点，包括数据域和指针域；使用单链表实现"""
def __init__(self, data):
self.data = data
self.next = None
def get_data(self):
return self.data
def set_next(self, next_node):
#python内变量为引用类型，可视作指针
self.next = next_node
def get_next(self):
return self.next
class OrderedList():
"""有序列表"""
def __init... | basic-ADT/list/ordered_list/ordered_list.py | class Node():
"""链表中的节点，包括数据域和指针域；使用单链表实现"""
def __init__(self, data):
self.data = data
self.next = None
def get_data(self):
return self.data
def set_next(self, next_node):
#python内变量为引用类型，可视作指针
self.next = next_node
def get_next(self):
return self.next
class OrderedList():
"""有序列表"""
def __init... | 0.243463 | 0.322046 |
import pytest
import layabase.mongo
import layabase._database_mongo
import mongomock
def test_str_column_cannot_auto_increment():
with pytest.raises(Exception) as exception_info:
layabase.mongo.Column(should_auto_increment=True)
assert str(exception_info.value) == "Only int fields can be auto increme... | tests/test_mongo.py | import pytest
import layabase.mongo
import layabase._database_mongo
import mongomock
def test_str_column_cannot_auto_increment():
with pytest.raises(Exception) as exception_info:
layabase.mongo.Column(should_auto_increment=True)
assert str(exception_info.value) == "Only int fields can be auto increme... | 0.701304 | 0.479565 |
import os.path
import collections
import logging
from . import walletwrapper
from . import database
from . import blockchain
from . import paymentchannel
from two1 import TWO1_CHANNELS_FEE
logger = logging.getLogger('channels')
PaymentChannelStatus = collections.namedtuple(
'PaymentChannelStatus',
[
... | venv/Lib/site-packages/two1/channels/paymentchannelclient.py | import os.path
import collections
import logging
from . import walletwrapper
from . import database
from . import blockchain
from . import paymentchannel
from two1 import TWO1_CHANNELS_FEE
logger = logging.getLogger('channels')
PaymentChannelStatus = collections.namedtuple(
'PaymentChannelStatus',
[
... | 0.831622 | 0.125279 |
from scrapy.shell import inspect_response
from scrapy.spiders import CrawlSpider
from scrapy.http import Request, FormRequest
from scrapy.linkextractors import LinkExtractor
from scrapy.spiders import Rule
import time
import scrapy
class APHCrawler(scrapy.Spider):
name = 'inshea_crawler'
allowed_domains = ['h... | scraper/tourScraper.py | from scrapy.shell import inspect_response
from scrapy.spiders import CrawlSpider
from scrapy.http import Request, FormRequest
from scrapy.linkextractors import LinkExtractor
from scrapy.spiders import Rule
import time
import scrapy
class APHCrawler(scrapy.Spider):
name = 'inshea_crawler'
allowed_domains = ['h... | 0.430866 | 0.09611 |
from audioop import avg
import matplotlib.pyplot as plt
import matplotlib
import numpy as np
import sys
import re
import csv
from itertools import groupby
import glob
"""
This script plots vertical frequency bars for one bandit experiment.
Give -c as to load the experiment data from .csv files
"""
NUM_BARS = 2
BOUND... | plotting/boxplots.py | from audioop import avg
import matplotlib.pyplot as plt
import matplotlib
import numpy as np
import sys
import re
import csv
from itertools import groupby
import glob
"""
This script plots vertical frequency bars for one bandit experiment.
Give -c as to load the experiment data from .csv files
"""
NUM_BARS = 2
BOUND... | 0.147801 | 0.369685 |
import functools
import asyncio
import re
class ClientProtocol(asyncio.Protocol):
identity = None
chunk = None
onerror = None
class Patterns:
regex = functools.partial(re.compile, flags=re.DOTALL)
session_id = regex('^HI\s(?P<sessionid>.+)$')
incomming = regex(b'^MESSAGE (?P<m... | easyq/client.py | import functools
import asyncio
import re
class ClientProtocol(asyncio.Protocol):
identity = None
chunk = None
onerror = None
class Patterns:
regex = functools.partial(re.compile, flags=re.DOTALL)
session_id = regex('^HI\s(?P<sessionid>.+)$')
incomming = regex(b'^MESSAGE (?P<m... | 0.492676 | 0.164215 |
import sys
import tarfile
import base64
import re
from html2text import html2text
from textsanitzer import TextSanitizer
magic_number = "df6fa1abb58549287111ba8d776733e9"
name2code = {"ENGLISH": "en", "FRENCH": "fr"}
def read_statsfile(f):
stats = {}
url, length = None, None
for line in f:
if ... | baseline/tar2bitextor.py | import sys
import tarfile
import base64
import re
from html2text import html2text
from textsanitzer import TextSanitizer
magic_number = "df6fa1abb58549287111ba8d776733e9"
name2code = {"ENGLISH": "en", "FRENCH": "fr"}
def read_statsfile(f):
stats = {}
url, length = None, None
for line in f:
if ... | 0.193948 | 0.098425 |
from time import sleep
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
class instaspy:
def __init__(self, username, password, target_username):
self.username = username
self.password = password
self.target_username = target_username
self.browser = webd... | InstaSpy-script.py | from time import sleep
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
class instaspy:
def __init__(self, username, password, target_username):
self.username = username
self.password = password
self.target_username = target_username
self.browser = webd... | 0.232833 | 0.067917 |
import re
from threading import Timer
import sublime
import sublime_plugin
from .console_logging import getLogger
from .daemon import ask_daemon
from .utils import get_settings, is_python_scope, is_repl
logger = getLogger(__name__)
FOLLOWING_CHARS = {"\r", "\n", "\t", " ", ")", "]", ";", "}", "\x00"}
PLUGIN_ONLY_CO... | sublime_jedi/completion.py | import re
from threading import Timer
import sublime
import sublime_plugin
from .console_logging import getLogger
from .daemon import ask_daemon
from .utils import get_settings, is_python_scope, is_repl
logger = getLogger(__name__)
FOLLOWING_CHARS = {"\r", "\n", "\t", " ", ")", "]", ";", "}", "\x00"}
PLUGIN_ONLY_CO... | 0.534612 | 0.149004 |
import click
import io
from prog.cli import delete
from prog.cli import show
from prog.cli import request
from prog import client
from prog import multipart
from prog import output
from prog import utils
MAX_PAGE_SIZE = 256
# --- sessions
def _output_one_session(s):
click.echo("ID=%d ether=0x%04x protocol=%d a... | cli/prog/diag.py | import click
import io
from prog.cli import delete
from prog.cli import show
from prog.cli import request
from prog import client
from prog import multipart
from prog import output
from prog import utils
MAX_PAGE_SIZE = 256
# --- sessions
def _output_one_session(s):
click.echo("ID=%d ether=0x%04x protocol=%d a... | 0.300951 | 0.055005 |
import doctest
import itertools
try:
from unittest import mock
except ImportError: # python 3.2 or lower
import mock
from django.test import TestCase
from django.contrib.auth.models import User
from django.core.exceptions import ValidationError
from django.core.urlresolvers import reverse
from django.conf im... | tictactoe/contest/tests.py | import doctest
import itertools
try:
from unittest import mock
except ImportError: # python 3.2 or lower
import mock
from django.test import TestCase
from django.contrib.auth.models import User
from django.core.exceptions import ValidationError
from django.core.urlresolvers import reverse
from django.conf im... | 0.489992 | 0.335977 |
import asyncio
import apigpio
import functools
# This sample demonstrates both writing to gpio and listening to gpio changes.
# It also shows the Debounce decorator, which might be useful when registering
# a callback for a gpio connected to a button, for example.
BT_GPIO = 18
LED_GPIO = 21
class Blinker(object):
... | samples/gpio_debounce.py | import asyncio
import apigpio
import functools
# This sample demonstrates both writing to gpio and listening to gpio changes.
# It also shows the Debounce decorator, which might be useful when registering
# a callback for a gpio connected to a button, for example.
BT_GPIO = 18
LED_GPIO = 21
class Blinker(object):
... | 0.558086 | 0.165796 |
from collections import OrderedDict
import pandas as pd
from sklearn import metrics
from sklearn.feature_extraction import DictVectorizer
from sklearn.feature_selection import SelectFromModel
from sklearn.model_selection import train_test_split
from xgboost import XGBClassifier
from common.util_function import *
prin... | demo_sklearn/xgb_cart_category/card_category_feature_importance.py | from collections import OrderedDict
import pandas as pd
from sklearn import metrics
from sklearn.feature_extraction import DictVectorizer
from sklearn.feature_selection import SelectFromModel
from sklearn.model_selection import train_test_split
from xgboost import XGBClassifier
from common.util_function import *
prin... | 0.261614 | 0.380327 |
import sys, os
import json
import unittest
import hashlib
sys.path.append(os.path.join(sys.path[0],'..'))
from application import app
from parameterized import parameterized, parameterized_class
from usermanager import get_salt
class TestApi(unittest.TestCase):
def setUp(self):
self.myapp = app.test_clien... | backend/tests/test_api.py |
import sys, os
import json
import unittest
import hashlib
sys.path.append(os.path.join(sys.path[0],'..'))
from application import app
from parameterized import parameterized, parameterized_class
from usermanager import get_salt
class TestApi(unittest.TestCase):
def setUp(self):
self.myapp = app.test_clien... | 0.366476 | 0.166303 |
import configparser
import psycopg2
import boto3
from sql_queries import copy_table_queries, insert_table_queries, counting_queries
def load_staging_tables(cur, conn):
""" Copy data from S3 into staging tables.
"""
for query in copy_table_queries:
try:
print("Loading staging table.")
... | project_03/src/etl/etl.py | import configparser
import psycopg2
import boto3
from sql_queries import copy_table_queries, insert_table_queries, counting_queries
def load_staging_tables(cur, conn):
""" Copy data from S3 into staging tables.
"""
for query in copy_table_queries:
try:
print("Loading staging table.")
... | 0.393152 | 0.426381 |
def get_my_profile_id():
my_profile_id = '76561198028705366'
return my_profile_id
def get_hard_coded_market_dict():
hard_coded_market_dict = {
"340390": "Abomination Tower",
"381640": "Allods Online RU",
"342250": "Aspectus: Rinascimento Chronicles",
"636700": "Crappy Day ... | data_utils.py | def get_my_profile_id():
my_profile_id = '76561198028705366'
return my_profile_id
def get_hard_coded_market_dict():
hard_coded_market_dict = {
"340390": "Abomination Tower",
"381640": "Allods Online RU",
"342250": "Aspectus: Rinascimento Chronicles",
"636700": "Crappy Day ... | 0.579995 | 0.406626 |
import inspect
import pdb
import sys
import traceback
from ispyd.wrapper import ObjectWrapper
from ispyd.console import acquire_console, release_console
_probes = {}
_tracebacks = {}
class DebuggerWrapper(ObjectWrapper):
def __init__(self, wrapped, name):
super(DebuggerWrapper, self).__init__(wrapped)
... | ispyd/plugins/debugger.py | import inspect
import pdb
import sys
import traceback
from ispyd.wrapper import ObjectWrapper
from ispyd.console import acquire_console, release_console
_probes = {}
_tracebacks = {}
class DebuggerWrapper(ObjectWrapper):
def __init__(self, wrapped, name):
super(DebuggerWrapper, self).__init__(wrapped)
... | 0.329068 | 0.064742 |
import numpy as np
import requests
def day2a(dirs, start=None):
"""Update the horizontal position and depth
Args:
dirs (character list or generator): List of character strings of the form "forward/up/down int"
start (int, optional): 2-dimensional starting point, where the first
compone... | day2.py | import numpy as np
import requests
def day2a(dirs, start=None):
"""Update the horizontal position and depth
Args:
dirs (character list or generator): List of character strings of the form "forward/up/down int"
start (int, optional): 2-dimensional starting point, where the first
compone... | 0.737914 | 0.535281 |
import numpy as np
import xarray as xr
import dask
import dask.array as da
from ._dask import randomize
from ._masking import to_float_np, from_float_np
def reshape_for_geomedian(ds, axis='time'):
dims = set(v.dims for v in ds.data_vars.values())
if len(dims) != 1:
raise ValueError("All bands should h... | libs/algo/odc/algo/_geomedian.py | import numpy as np
import xarray as xr
import dask
import dask.array as da
from ._dask import randomize
from ._masking import to_float_np, from_float_np
def reshape_for_geomedian(ds, axis='time'):
dims = set(v.dims for v in ds.data_vars.values())
if len(dims) != 1:
raise ValueError("All bands should h... | 0.563618 | 0.575469 |
from __future__ import absolute_import, division, print_function, unicode_literals
import numpy as np
from astropy.utils.misc import NumpyRNGContext
from .pure_python_isolation import naive_spherical_isolation, naive_cylindrical_isolation
from ..spherical_isolation import spherical_isolation
from ..cylindrical_isola... | halotools/mock_observables/isolation_functions/tests/test_brute_force_comparisons.py | from __future__ import absolute_import, division, print_function, unicode_literals
import numpy as np
from astropy.utils.misc import NumpyRNGContext
from .pure_python_isolation import naive_spherical_isolation, naive_cylindrical_isolation
from ..spherical_isolation import spherical_isolation
from ..cylindrical_isola... | 0.81283 | 0.701751 |