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 unittest
from itertools import product
import mock
import numpy as np
import pytest
from tensorkit import tensor as T
from tensorkit import *
from tensorkit.distributions import *
from tensorkit.distributions.categorical import BaseCategorical
from tensorkit.distributions.utils import copy_distribution
from te... | tests/distributions/test_categorical.py | import unittest
from itertools import product
import mock
import numpy as np
import pytest
from tensorkit import tensor as T
from tensorkit import *
from tensorkit.distributions import *
from tensorkit.distributions.categorical import BaseCategorical
from tensorkit.distributions.utils import copy_distribution
from te... | 0.714927 | 0.493897 |
import cntk as C
import os
import pandas as pd
import numpy as np
import time
from pandas_datareader import data as pd_data
from saxpy.sax import sax_via_window
import logging
try:
from urllib.request import urlretrieve
except ImportError:
from urllib import urlretrieve
logging.basicConfig(level=10, format... | generic/cntk-lstm-forecast/service/time_series_forecast.py | import cntk as C
import os
import pandas as pd
import numpy as np
import time
from pandas_datareader import data as pd_data
from saxpy.sax import sax_via_window
import logging
try:
from urllib.request import urlretrieve
except ImportError:
from urllib import urlretrieve
logging.basicConfig(level=10, format... | 0.45181 | 0.197561 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import cPickle
import os
import download
from six.moves import xrange # pylint: disable=redefined-builtin
import tensorflow as tf
def one_hot_encoded(class_numbers, num_classes=None):
... | data/cifar10/cifar10.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import cPickle
import os
import download
from six.moves import xrange # pylint: disable=redefined-builtin
import tensorflow as tf
def one_hot_encoded(class_numbers, num_classes=None):
... | 0.721841 | 0.561816 |
from cPickle import dumps, loads
__all__ = ['DIST_MODULA', 'DIST_CONSISTENT', 'DIST_CONSISTENT_KETAMA',
'Client']
DIST_MODULA = 0
DIST_CONSISTENT = 1
DIST_CONSISTENT_KETAMA = 2
(BEHAVIOR_NO_BLOCK, BEHAVIOR_TCP_NODELAY, BEHAVIOR_HASH, BEHAVIOR_KETAMA,
BEHAVIOR_SOCKET_SEND_SIZE, BEHAVIOR_SOCKET_RECV_S... | tests/stub/cmemcached.py |
from cPickle import dumps, loads
__all__ = ['DIST_MODULA', 'DIST_CONSISTENT', 'DIST_CONSISTENT_KETAMA',
'Client']
DIST_MODULA = 0
DIST_CONSISTENT = 1
DIST_CONSISTENT_KETAMA = 2
(BEHAVIOR_NO_BLOCK, BEHAVIOR_TCP_NODELAY, BEHAVIOR_HASH, BEHAVIOR_KETAMA,
BEHAVIOR_SOCKET_SEND_SIZE, BEHAVIOR_SOCKET_RECV_S... | 0.456894 | 0.118742 |
import inspect
import random
from typing import Callable, Iterable, Optional, Sequence, TypeVar
from . import process
from .util import Closed, Crashed, Stopped
def proc(fn: Optional[Callable] = None, *args, **kwargs):
"""A decorator to create a process"""
def decorator(fn):
def proc_():
f... | cpo/meta.py | import inspect
import random
from typing import Callable, Iterable, Optional, Sequence, TypeVar
from . import process
from .util import Closed, Crashed, Stopped
def proc(fn: Optional[Callable] = None, *args, **kwargs):
"""A decorator to create a process"""
def decorator(fn):
def proc_():
f... | 0.695441 | 0.22946 |
import tensorflow as tf
from .gpt2 import TFGPT2MainLayer
from .discriminator import Discriminator
class gpt2wgan(tf.keras.Model):
def __init__(self, config, noise_len: int = 784, noise_dim: int = 32, d_extra_steps: int = 5, **kwargs):
super(gpt2wgan, self).__init__()
self.generator = TFGPT2Mai... | model/gpt2wgan.py | import tensorflow as tf
from .gpt2 import TFGPT2MainLayer
from .discriminator import Discriminator
class gpt2wgan(tf.keras.Model):
def __init__(self, config, noise_len: int = 784, noise_dim: int = 32, d_extra_steps: int = 5, **kwargs):
super(gpt2wgan, self).__init__()
self.generator = TFGPT2Mai... | 0.905939 | 0.434161 |
from ai_lit.input import input_util
from ai_lit.input.gutenberg_dataset import gb_input
from ai_lit.input.gutenberg_dataset import gb_titles_dataset
from ai_lit.models import mean_mlp
from ai_lit.university import ai_lit_university
import tensorflow as tf
tf.flags.DEFINE_bool("use_pretrained_embeddings", False,
... | ai_lit/university/gutenberg/gb_titles_avg_mlp.py | from ai_lit.input import input_util
from ai_lit.input.gutenberg_dataset import gb_input
from ai_lit.input.gutenberg_dataset import gb_titles_dataset
from ai_lit.models import mean_mlp
from ai_lit.university import ai_lit_university
import tensorflow as tf
tf.flags.DEFINE_bool("use_pretrained_embeddings", False,
... | 0.915005 | 0.493348 |
import sys
import argparse
import flask
import json
import psycopg2
from config import password
from config import database
from config import user
# Connect to the database
try:
connection = psycopg2.connect(database=database, user=user, password=password)
except Exception as e:
print(e)
exit()
app = flask... | olympics-api/olympics-api.py | import sys
import argparse
import flask
import json
import psycopg2
from config import password
from config import database
from config import user
# Connect to the database
try:
connection = psycopg2.connect(database=database, user=user, password=password)
except Exception as e:
print(e)
exit()
app = flask... | 0.254324 | 0.171165 |
from collections import OrderedDict
import torch.nn as nn
from mmdet.models.utils import brick as vn_layer
# https://github.com/AlexeyAB/darknet/wiki/YOLOv4-model-zoo
class Yolov4(nn.Module):
# 用于递归导入权重
custom_layers = (vn_layer.Resblock_body, vn_layer.Resblock_body.custom_layers, vn_layer.Head,
... | tools/darknet/yolov4.py | from collections import OrderedDict
import torch.nn as nn
from mmdet.models.utils import brick as vn_layer
# https://github.com/AlexeyAB/darknet/wiki/YOLOv4-model-zoo
class Yolov4(nn.Module):
# 用于递归导入权重
custom_layers = (vn_layer.Resblock_body, vn_layer.Resblock_body.custom_layers, vn_layer.Head,
... | 0.880013 | 0.302636 |
from math import sqrt
from solid import *
from solid.utils import *
import util
from util import radial, pipe, ABIT, vadd
from fixings import M3
from aptsources.distinfo import Mirror
def body(height=21.0, radius=50.0, insert_height=3.0, t=2.0, arch_width=12.0):
def body_cross_section():
return translate([... | hardware/body.py | from math import sqrt
from solid import *
from solid.utils import *
import util
from util import radial, pipe, ABIT, vadd
from fixings import M3
from aptsources.distinfo import Mirror
def body(height=21.0, radius=50.0, insert_height=3.0, t=2.0, arch_width=12.0):
def body_cross_section():
return translate([... | 0.641871 | 0.216964 |
import scipy.io
import numpy as np
from scipy.sparse.linalg.eigen.arpack import eigsh
try:
from bregman import bregman
except ImportError:
print("Failed to import Bregman subroutines")
pass
def bregman_func(A_in, En_in, method=5, mu=0.001, lbd=3., maxIter=100, tol=1E-4):
# Open the A matrix file
i... | cssolve/bregman_func.py | import scipy.io
import numpy as np
from scipy.sparse.linalg.eigen.arpack import eigsh
try:
from bregman import bregman
except ImportError:
print("Failed to import Bregman subroutines")
pass
def bregman_func(A_in, En_in, method=5, mu=0.001, lbd=3., maxIter=100, tol=1E-4):
# Open the A matrix file
i... | 0.268366 | 0.540196 |
import torch.nn as nn
import torch
from torch.autograd import Variable
import pickle
import numpy as np
from torch.utils.data import SubsetRandomSampler, TensorDataset
import os
from model import *
import torch.optim as optim
import datetime
seed = 1
torch.manual_seed(seed)
np.random.seed(seed)
torch.cuda.manual_seed_... | train.py | import torch.nn as nn
import torch
from torch.autograd import Variable
import pickle
import numpy as np
from torch.utils.data import SubsetRandomSampler, TensorDataset
import os
from model import *
import torch.optim as optim
import datetime
seed = 1
torch.manual_seed(seed)
np.random.seed(seed)
torch.cuda.manual_seed_... | 0.418578 | 0.459015 |
from tencentcloud.common.abstract_model import AbstractModel
class CreateDBInstanceHourRequest(AbstractModel):
"""CreateDBInstanceHour请求参数结构体
"""
def __init__(self):
"""
:param Memory: 实例内存大小，单位：GB
:type Memory: int
:param Volume: 实例硬盘大小，单位：GB
:type Volume: int
... | tencentcloud/mongodb/v20180408/models.py |
from tencentcloud.common.abstract_model import AbstractModel
class CreateDBInstanceHourRequest(AbstractModel):
"""CreateDBInstanceHour请求参数结构体
"""
def __init__(self):
"""
:param Memory: 实例内存大小，单位：GB
:type Memory: int
:param Volume: 实例硬盘大小，单位：GB
:type Volume: int
... | 0.462959 | 0.238678 |
import copy
import os
from functools import lru_cache
from collections import OrderedDict
import torch
from portal.portal_io import cache_file
from mmf.common import Sample
from mmf.datasets import BaseDataset
class TextCommonClsDataset(BaseDataset):
def __init__(self, config, dataset_type, dataset_name, data_f... | mmf/datasets/builders/text/text_dataset.py | import copy
import os
from functools import lru_cache
from collections import OrderedDict
import torch
from portal.portal_io import cache_file
from mmf.common import Sample
from mmf.datasets import BaseDataset
class TextCommonClsDataset(BaseDataset):
def __init__(self, config, dataset_type, dataset_name, data_f... | 0.618089 | 0.194349 |
import logging
from typing import List
from fuzzywuzzy import fuzz
from DatabaseDriver.SqlClasses import PatchData
from Objects.PatchDiffs import PatchDiffs
def patch_matches(downstream_patches: List[PatchData], upstream: PatchData) -> bool:
"""Check if 'upstream' has an equivalent in 'downstream_patches'. """
... | DownstreamTracker/DownstreamMatcher.py | import logging
from typing import List
from fuzzywuzzy import fuzz
from DatabaseDriver.SqlClasses import PatchData
from Objects.PatchDiffs import PatchDiffs
def patch_matches(downstream_patches: List[PatchData], upstream: PatchData) -> bool:
"""Check if 'upstream' has an equivalent in 'downstream_patches'. """
... | 0.744749 | 0.398085 |
import base64
import json
import os
from pprint import pprint
from typing import Dict, List
import requests
from github3 import apps
def get_default_app():
if not hasattr(get_default_app, "app"):
pem_key = os.getenv("BASE64_PRIVATE_PEM_KEY", "")
if not pem_key:
raise RuntimeError("Mis... | github_token_app/github_app.py | import base64
import json
import os
from pprint import pprint
from typing import Dict, List
import requests
from github3 import apps
def get_default_app():
if not hasattr(get_default_app, "app"):
pem_key = os.getenv("BASE64_PRIVATE_PEM_KEY", "")
if not pem_key:
raise RuntimeError("Mis... | 0.49707 | 0.087486 |
import nqs
import numpy as np
import sampler
import observables
import time
import matplotlib.pyplot as plt
import distances
import ising1d
#Script to generate the data -- sigmax(t) for all our time-evolved wave functions
nsteps = 400
data_rate = 5
nruns = 1000
talk_rate = 25
h = ising1d.Ising1d(10,1.0)
## Now that w... | Scripts/data_time_series.py | import nqs
import numpy as np
import sampler
import observables
import time
import matplotlib.pyplot as plt
import distances
import ising1d
#Script to generate the data -- sigmax(t) for all our time-evolved wave functions
nsteps = 400
data_rate = 5
nruns = 1000
talk_rate = 25
h = ising1d.Ising1d(10,1.0)
## Now that w... | 0.358129 | 0.483161 |
import logging
import click
import torch
from sonosco.serialization import Deserializer
from sonosco.models import TDSSeq2Seq
from sonosco.common.constants import SONOSCO
from sonosco.common.utils import setup_logging
from sonosco.common.path_utils import parse_yaml
from sonosco.training import Experiment, ModelTraine... | executables/train.py | import logging
import click
import torch
from sonosco.serialization import Deserializer
from sonosco.models import TDSSeq2Seq
from sonosco.common.constants import SONOSCO
from sonosco.common.utils import setup_logging
from sonosco.common.path_utils import parse_yaml
from sonosco.training import Experiment, ModelTraine... | 0.659186 | 0.100657 |
import datetime
from django.conf import settings
from django.core.management.base import BaseCommand
from django.utils import timezone
import requests
from data_refinery_common.models import Dataset, DatasetAnnotation
def post_downloads_summary(days, channel):
start_time = timezone.now() - datetime.timedelta(d... | api/data_refinery_api/management/commands/post_downloads_summary.py | import datetime
from django.conf import settings
from django.core.management.base import BaseCommand
from django.utils import timezone
import requests
from data_refinery_common.models import Dataset, DatasetAnnotation
def post_downloads_summary(days, channel):
start_time = timezone.now() - datetime.timedelta(d... | 0.485356 | 0.208904 |
import subprocess
import re
import codecs
import time
class WiFiScanner():
"""iw-based Wi-Fi networks scanner"""
def __init__(self, interface):
self.interface = interface
def scan(self, dump_only=False):
'''Parsing iw scan results'''
def handle_network(line, result, networks):
... | main.py | import subprocess
import re
import codecs
import time
class WiFiScanner():
"""iw-based Wi-Fi networks scanner"""
def __init__(self, interface):
self.interface = interface
def scan(self, dump_only=False):
'''Parsing iw scan results'''
def handle_network(line, result, networks):
... | 0.329931 | 0.148325 |
import numpy as np
import matplotlib.image as mpimg # read image
import matplotlib.pyplot as plt # plot image
import tkinter as tk # GUI design
from PIL import Image # used for save image
from numpy.fft import fft2, ifft2, fftshift, ifftshift # fourier transform
# Set information of GUI
window = tk.Tk()
w... | hw2.py | import numpy as np
import matplotlib.image as mpimg # read image
import matplotlib.pyplot as plt # plot image
import tkinter as tk # GUI design
from PIL import Image # used for save image
from numpy.fft import fft2, ifft2, fftshift, ifftshift # fourier transform
# Set information of GUI
window = tk.Tk()
w... | 0.559531 | 0.507934 |
class Stack:
def __init__(self):
self.__items = []
def is_empty(self):
return self.__items == []
def push(self, item):
self.__items.append(item)
def pop(self):
try:
return self.__items.pop()
except IndexError:
return "ERROR: The ... | Stacks/Postfix.py | class Stack:
def __init__(self):
self.__items = []
def is_empty(self):
return self.__items == []
def push(self, item):
self.__items.append(item)
def pop(self):
try:
return self.__items.pop()
except IndexError:
return "ERROR: The ... | 0.359139 | 0.15785 |
from __future__ import absolute_import
import sys
import os
import re
# python 2 and python 3 compatibility library
from six import iteritems
from ..configuration import Configuration
from ..api_client import ApiClient
class TeamBuilderConfigProductTypeApi(object):
"""
NOTE: This class is auto generated by... | TweakApi/apis/team_builder_config_product_type_api.py | from __future__ import absolute_import
import sys
import os
import re
# python 2 and python 3 compatibility library
from six import iteritems
from ..configuration import Configuration
from ..api_client import ApiClient
class TeamBuilderConfigProductTypeApi(object):
"""
NOTE: This class is auto generated by... | 0.604399 | 0.055978 |
import re
import wlsdeploy.aliases.model_constants as model_constants
import wlsdeploy.util.model as model_sections
from oracle.weblogic.deploy.aliases import AliasException
from wlsdeploy.aliases.location_context import LocationContext
from wlsdeploy.logging.platform_logger import PlatformLogger
_class_name = 'varia... | core/src/main/python/wlsdeploy/tool/util/variable_injector_functions.py | import re
import wlsdeploy.aliases.model_constants as model_constants
import wlsdeploy.util.model as model_sections
from oracle.weblogic.deploy.aliases import AliasException
from wlsdeploy.aliases.location_context import LocationContext
from wlsdeploy.logging.platform_logger import PlatformLogger
_class_name = 'varia... | 0.629205 | 0.106877 |
__author__ = 'emre'
import unittest
from hmm import *
import sklearn.hmm
import random
def generate_observations(num_classes):
size = random.randint(5, 30)
observations = np.empty(size).astype(int)
for t in xrange(size):
observations[t] = random.randint(0, num_classes - 1)
return observatio... | hmm-test.py | __author__ = 'emre'
import unittest
from hmm import *
import sklearn.hmm
import random
def generate_observations(num_classes):
size = random.randint(5, 30)
observations = np.empty(size).astype(int)
for t in xrange(size):
observations[t] = random.randint(0, num_classes - 1)
return observatio... | 0.700997 | 0.480905 |
from __future__ import unicode_literals
from django.db import models, migrations
from django.conf import settings
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
migrations.CreateModel(
name=... | test_django_denis/testdenis/migrations/0001_initial.py | from __future__ import unicode_literals
from django.db import models, migrations
from django.conf import settings
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
migrations.CreateModel(
name=... | 0.599954 | 0.173533 |
import numpy as np
import pandas as pd
# ------------------------------------------------------------------------------
# pandas dataframe utils
# ------------------------------------------------------------------------------
def df_info(df):
return f"{df.shape}; index={list(df.index.names)}; cols={list(df.colum... | callflow/utils/df.py |
import numpy as np
import pandas as pd
# ------------------------------------------------------------------------------
# pandas dataframe utils
# ------------------------------------------------------------------------------
def df_info(df):
return f"{df.shape}; index={list(df.index.names)}; cols={list(df.colum... | 0.701815 | 0.676633 |
import re
__all__ = ['Attribute', 'Table', 'Operation', 'insert_alias']
class Attribute:
def __init__(self, name, formula, is_pk):
self.name = name
self.formula = formula
self.is_pk = is_pk
def __str__(self):
return self.name
class Table:
def __init__(self, name, alias,... | cellql/objects.py | import re
__all__ = ['Attribute', 'Table', 'Operation', 'insert_alias']
class Attribute:
def __init__(self, name, formula, is_pk):
self.name = name
self.formula = formula
self.is_pk = is_pk
def __str__(self):
return self.name
class Table:
def __init__(self, name, alias,... | 0.521959 | 0.113727 |
import json
import os
import random
import sys
from typing import Any, Iterable, Mapping, Optional, Tuple, Union
import click
from gensim.models import Word2Vec
from sqlalchemy.orm import Session
from tqdm import tqdm, trange
from .models import Collection, Embedding, get_session
from ..constants import config
__all... | src/embeddingdb/sql/io.py | import json
import os
import random
import sys
from typing import Any, Iterable, Mapping, Optional, Tuple, Union
import click
from gensim.models import Word2Vec
from sqlalchemy.orm import Session
from tqdm import tqdm, trange
from .models import Collection, Embedding, get_session
from ..constants import config
__all... | 0.592784 | 0.128991 |
__author__ = 'vilelag'
import sys
import argparse
import numpy as np
def create_parsers():
#parser for the main program
parser = argparse.ArgumentParser(description='Print all the n classes with most elements, only takes into account'
'words in the vocabulary... | scripts/print_top_classes.py |
__author__ = 'vilelag'
import sys
import argparse
import numpy as np
def create_parsers():
#parser for the main program
parser = argparse.ArgumentParser(description='Print all the n classes with most elements, only takes into account'
'words in the vocabulary... | 0.27914 | 0.186539 |
from __future__ import annotations
from homeassistant.components.select import (
DOMAIN as PLATFORM_SELECT,
SelectEntity
)
from .merossclient import const as mc # mEROSS cONST
from .meross_entity import _MerossEntity, platform_setup_entry, platform_unload_entry
async def async_setup_entry(hass: object, con... | custom_components/meross_lan/select.py | from __future__ import annotations
from homeassistant.components.select import (
DOMAIN as PLATFORM_SELECT,
SelectEntity
)
from .merossclient import const as mc # mEROSS cONST
from .meross_entity import _MerossEntity, platform_setup_entry, platform_unload_entry
async def async_setup_entry(hass: object, con... | 0.452899 | 0.110327 |
from .exceptions import NotRetriableError
class ErrorWhitelist(object):
"""
Stores an error whitelist and provides a simple interface for whitelist
update and mutation.
Arguments:
errors (set|list|tuple[Exception]): optional list of error exceptions
classes to whitelist.
Attr... | riprova/errors.py | from .exceptions import NotRetriableError
class ErrorWhitelist(object):
"""
Stores an error whitelist and provides a simple interface for whitelist
update and mutation.
Arguments:
errors (set|list|tuple[Exception]): optional list of error exceptions
classes to whitelist.
Attr... | 0.796372 | 0.291182 |
import os
import yaml
from common.constants import (
PART_NAME,
PLUGIN_TMP_DIR,
PLUGIN_NAME,
)
class HOTSOSDumper(yaml.Dumper):
def increase_indent(self, flow=False, indentless=False):
return super().increase_indent(flow, False)
def represent_dict_preserve_order(self, data):
retu... | common/plugin_yaml.py | import os
import yaml
from common.constants import (
PART_NAME,
PLUGIN_TMP_DIR,
PLUGIN_NAME,
)
class HOTSOSDumper(yaml.Dumper):
def increase_indent(self, flow=False, indentless=False):
return super().increase_indent(flow, False)
def represent_dict_preserve_order(self, data):
retu... | 0.408159 | 0.163746 |
import datetime
import logging
import re
from os.path import basename, dirname, exists
from requests import get
from util import get_checksums, read_file
def get_repo_content(artifactory_spec, repo_key):
url = f'{artifactory_spec["url"]}/api/storage/{repo_key}?list&deep=1&listFolders=1'
response = get(url, ... | src/artifactory.py | import datetime
import logging
import re
from os.path import basename, dirname, exists
from requests import get
from util import get_checksums, read_file
def get_repo_content(artifactory_spec, repo_key):
url = f'{artifactory_spec["url"]}/api/storage/{repo_key}?list&deep=1&listFolders=1'
response = get(url, ... | 0.209551 | 0.078325 |
# pylint: skip-file
import argparse
import csv
import uuid
import json
import sys
from timesketch.lib.experimental.utils import event_stream
from timesketch.lib.experimental.utils import parse_xml_event
class KnowledgeBase(object):
def __init__(self):
self.ip2host = {}
def add(self, ip, hostname):... | timesketch/lib/experimental/win_logins.py |
# pylint: skip-file
import argparse
import csv
import uuid
import json
import sys
from timesketch.lib.experimental.utils import event_stream
from timesketch.lib.experimental.utils import parse_xml_event
class KnowledgeBase(object):
def __init__(self):
self.ip2host = {}
def add(self, ip, hostname):... | 0.328745 | 0.087019 |
import roslib; roslib.load_manifest('articulation_structure')
import rospy
import sys
from visualization_msgs.msg import Marker, MarkerArray
from geometry_msgs.msg import Vector3, Point, Pose, PoseArray
from std_msgs.msg import ColorRGBA
from sensor_msgs.msg import ChannelFloat32
from articulation_msgs.msg import *
fr... | articulation_structure/nodes/articulation_collector.py |
import roslib; roslib.load_manifest('articulation_structure')
import rospy
import sys
from visualization_msgs.msg import Marker, MarkerArray
from geometry_msgs.msg import Vector3, Point, Pose, PoseArray
from std_msgs.msg import ColorRGBA
from sensor_msgs.msg import ChannelFloat32
from articulation_msgs.msg import *
fr... | 0.282889 | 0.117572 |
import json
import pytest
from model_mommy import mommy
from datetime import datetime
from rest_framework import status
from django_mock_queries.query import MockModel
from usaspending_api.awards.models_matviews import SummaryTransactionView
from usaspending_api.common.helpers.unit_test_helper import add_to_mock_obje... | usaspending_api/search/tests/unit/test_spending_over_time_details.py | import json
import pytest
from model_mommy import mommy
from datetime import datetime
from rest_framework import status
from django_mock_queries.query import MockModel
from usaspending_api.awards.models_matviews import SummaryTransactionView
from usaspending_api.common.helpers.unit_test_helper import add_to_mock_obje... | 0.569134 | 0.400691 |
import time
import numpy as np
def _t(x):
return np.transpose(x)
def _m(A, B):
return np.matmul(A, B)
class Sigmoid:
def __init__(self):
self.last_o = 1
def __call__(self, x):
self.last_o = (1.0 / (1.0 + np.exp(-x)))
return self.last_o
def grad(self):
return sel... | tensorflow/Backpropagation.py | import time
import numpy as np
def _t(x):
return np.transpose(x)
def _m(A, B):
return np.matmul(A, B)
class Sigmoid:
def __init__(self):
self.last_o = 1
def __call__(self, x):
self.last_o = (1.0 / (1.0 + np.exp(-x)))
return self.last_o
def grad(self):
return sel... | 0.746231 | 0.421016 |
import time
import matplotlib.pyplot as plt
import numpy as np
from communication import Transmitter
from osparc_control import CommandManifest
from osparc_control import CommandParameter
from osparc_control import CommandType
from osparc_control import PairedTransmitter
class TSolver:
def __init__(
sel... | examples/3_tsolver/Tsolver.py | import time
import matplotlib.pyplot as plt
import numpy as np
from communication import Transmitter
from osparc_control import CommandManifest
from osparc_control import CommandParameter
from osparc_control import CommandType
from osparc_control import PairedTransmitter
class TSolver:
def __init__(
sel... | 0.53777 | 0.409811 |
import random
import time
def print_sleep(start_message):
print(start_message)
time.sleep(2)
def visit_character(pouch):
print_sleep("Please enter the character that might help you exit"
" the Haunted House:\n")
character = input("Witch\n"
"Pirate\n"
... | haunted_house.py | import random
import time
def print_sleep(start_message):
print(start_message)
time.sleep(2)
def visit_character(pouch):
print_sleep("Please enter the character that might help you exit"
" the Haunted House:\n")
character = input("Witch\n"
"Pirate\n"
... | 0.112186 | 0.121191 |
import json
import argparse
from lib import buildtools
__description__ = "Display the contents of a file on the target machine"
__author__ = "@_batsec_"
EXEC_ID = 0x4000
OPCODE_LS = 0x2000
ERROR = False
error_list = ""
# let argparse error and exit nice
def error(message):
global ERROR, error_list
ERROR... | lib/commands/cat.py |
import json
import argparse
from lib import buildtools
__description__ = "Display the contents of a file on the target machine"
__author__ = "@_batsec_"
EXEC_ID = 0x4000
OPCODE_LS = 0x2000
ERROR = False
error_list = ""
# let argparse error and exit nice
def error(message):
global ERROR, error_list
ERROR... | 0.298798 | 0.104569 |
from setuptools import setup, Extension
import numpy
import os, platform, sys, re
try:
from Cython.Build import cythonize
except ImportError:
print('Cython is required')
quit(1)
# path to libs and headers
package_dir = os.path.join('src', 'svmrank')
svm_rank_sourcedir = os.path.join('src', 'c')
include_dirs = [... | setup.py | from setuptools import setup, Extension
import numpy
import os, platform, sys, re
try:
from Cython.Build import cythonize
except ImportError:
print('Cython is required')
quit(1)
# path to libs and headers
package_dir = os.path.join('src', 'svmrank')
svm_rank_sourcedir = os.path.join('src', 'c')
include_dirs = [... | 0.18159 | 0.060059 |
import datetime
import tempfile
import argparse
from pathlib import Path
import numpy as np
import pandas as pd
import scipy.constants
from cdflib import cdfread, epochs
import pymms
from pymms.sdc import mrmms_sdc_api as api
from pymms.sdc import selections as selections_api
class Model_Data_Downloader:
"""
... | pymms/gls/mp_dl_unh/data.py | import datetime
import tempfile
import argparse
from pathlib import Path
import numpy as np
import pandas as pd
import scipy.constants
from cdflib import cdfread, epochs
import pymms
from pymms.sdc import mrmms_sdc_api as api
from pymms.sdc import selections as selections_api
class Model_Data_Downloader:
"""
... | 0.710025 | 0.347731 |
from unittest import TestCase
from unittest.mock import Mock
import numpy as np
import pandas as pd
import pytest
from rdt.transformers import NullTransformer
class TestNullTransformer(TestCase):
def test___init__(self):
"""Test default instance"""
# Run
transformer = NullTransformer(No... | tests/transformers/test_null.py | from unittest import TestCase
from unittest.mock import Mock
import numpy as np
import pandas as pd
import pytest
from rdt.transformers import NullTransformer
class TestNullTransformer(TestCase):
def test___init__(self):
"""Test default instance"""
# Run
transformer = NullTransformer(No... | 0.890187 | 0.577555 |
from madflow.config import DTYPE
import madflow.phasespace as ps
import numpy as np
import tensorflow as tf
def massless_volume(n, e):
"""Volume of massless phase space
1 / 2 / (4*pi)^(2n-3) * E^(2n-4) / G(n)G(n-1)
"""
gn = np.math.factorial(n - 1)
gnm1 = np.math.factorial(n - 2)
energy = pow(... | python_package/madflow/tests/test_ps.py | from madflow.config import DTYPE
import madflow.phasespace as ps
import numpy as np
import tensorflow as tf
def massless_volume(n, e):
"""Volume of massless phase space
1 / 2 / (4*pi)^(2n-3) * E^(2n-4) / G(n)G(n-1)
"""
gn = np.math.factorial(n - 1)
gnm1 = np.math.factorial(n - 2)
energy = pow(... | 0.752286 | 0.703893 |
class Solution:
# @param S, a string
# @param L, a list of string
# @return a list of integer
def findSubstring(self, S, L):
if not S: return []
if not L: return []
wordcount = len(L)
wordlen = len(L[0])
wordappear = {}
for word in L:
... | src/Substring with Concatenation of All Words.py | class Solution:
# @param S, a string
# @param L, a list of string
# @return a list of integer
def findSubstring(self, S, L):
if not S: return []
if not L: return []
wordcount = len(L)
wordlen = len(L[0])
wordappear = {}
for word in L:
... | 0.380644 | 0.323701 |
import re
rules = {
21: "71 69",
100: " 92 69 | 13 54",
116: " 34 13 | 41 92",
101: " 92 93 | 13 96",
122: " 13 22 | 92 19",
124: " 70 13 | 76 92",
29: "9 92 | 133 13",
2: "13 75 | 92 73",
117: " 132 92 | 109 13",
0: "8 11",
43: "92 13 | 13 13",
56: "41 13 | 34 92",
... | 2020/19/main.py | import re
rules = {
21: "71 69",
100: " 92 69 | 13 54",
116: " 34 13 | 41 92",
101: " 92 93 | 13 96",
122: " 13 22 | 92 19",
124: " 70 13 | 76 92",
29: "9 92 | 133 13",
2: "13 75 | 92 73",
117: " 132 92 | 109 13",
0: "8 11",
43: "92 13 | 13 13",
56: "41 13 | 34 92",
... | 0.411584 | 0.407628 |
from config import config
import sendgrid
from sendgrid.helpers.mail import *
import smtplib
from email.mime.text import MIMEText
ACCT_VERIFIED_SUBJECT = "Your iCTF Team Account has been verified!"
ACCT_VERIFIED_MSG = """
Hello!
The academic status of the iCTF account for your team (%s) has been verified!
Thank you!... | teaminterface/lib/mailer.py | from config import config
import sendgrid
from sendgrid.helpers.mail import *
import smtplib
from email.mime.text import MIMEText
ACCT_VERIFIED_SUBJECT = "Your iCTF Team Account has been verified!"
ACCT_VERIFIED_MSG = """
Hello!
The academic status of the iCTF account for your team (%s) has been verified!
Thank you!... | 0.128977 | 0.075756 |
import os
import subprocess
import tempfile
from functools import partial
from unittest.mock import patch
import pytest
from pkgcheck import __title__ as project
from pkgcheck.checks.profiles import ProfileWarning
from pkgcheck.reporters import JsonStream
from pkgcheck.scripts import run
from snakeoil.formatters impor... | tests/scripts/test_pkgcheck_replay.py | import os
import subprocess
import tempfile
from functools import partial
from unittest.mock import patch
import pytest
from pkgcheck import __title__ as project
from pkgcheck.checks.profiles import ProfileWarning
from pkgcheck.reporters import JsonStream
from pkgcheck.scripts import run
from snakeoil.formatters impor... | 0.388038 | 0.305667 |
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Genre',
fields=[
('id', models.AutoField(a... | Backend/movie_reviews_back/api/migrations/0001_initial.py |
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Genre',
fields=[
('id', models.AutoField(a... | 0.424889 | 0.089018 |
from nltk import word_tokenize
import nltk.data
from readability import Readability
import pprint
import string
import numpy
import math
numpy.seterr(divide='ignore', invalid='ignore')
sent_detector = nltk.data.load('tokenizers/punkt/english.pickle')
def clean_words(words):
new_words = []
for word in words... | feature/simple.py | from nltk import word_tokenize
import nltk.data
from readability import Readability
import pprint
import string
import numpy
import math
numpy.seterr(divide='ignore', invalid='ignore')
sent_detector = nltk.data.load('tokenizers/punkt/english.pickle')
def clean_words(words):
new_words = []
for word in words... | 0.353875 | 0.30728 |
import numpy as np
import matplotlib.pylab as plt
import json
def getJsonData(data_file):
with open(data_file, "r") as jsonFile:
data= json.load(jsonFile)
return data
def saveDataToJson(fileName, data):
with open(fileName, "w") as jsonFile:
json.dump(data, jsonFile, indent=3)
def compute... | geoflow1D/UtilsModule.py | import numpy as np
import matplotlib.pylab as plt
import json
def getJsonData(data_file):
with open(data_file, "r") as jsonFile:
data= json.load(jsonFile)
return data
def saveDataToJson(fileName, data):
with open(fileName, "w") as jsonFile:
json.dump(data, jsonFile, indent=3)
def compute... | 0.321567 | 0.340129 |
from Graph import Graph
from ContextFreeGrammar import ChomskyNormalForm as CNF
from pyformlang.cfg import *
def test_Asimov():
gr = CNF.from_file("cfg_input.txt")
g = Graph()
g.from_file("input4.txt")
reachable = frozenset(gr.Asimov(g))
reachable_actual = frozenset(gr.Hellings(g))
assert reach... | tests/test_Task05.py | from Graph import Graph
from ContextFreeGrammar import ChomskyNormalForm as CNF
from pyformlang.cfg import *
def test_Asimov():
gr = CNF.from_file("cfg_input.txt")
g = Graph()
g.from_file("input4.txt")
reachable = frozenset(gr.Asimov(g))
reachable_actual = frozenset(gr.Hellings(g))
assert reach... | 0.480235 | 0.380327 |
import copy
from PyQt5 import QtCore
from PyQt5.QtWidgets import QDialog, QSizePolicy, QLabel, QPushButton, QGridLayout, QSpinBox
class EditMaxHPDialog(QDialog):
def __init__(self, CharacterWindow):
super().__init__(parent=CharacterWindow)
# Store Parameters
self.CharacterWindow = Charac... | Interface/Dialogs/EditMaxHPDialog.py | import copy
from PyQt5 import QtCore
from PyQt5.QtWidgets import QDialog, QSizePolicy, QLabel, QPushButton, QGridLayout, QSpinBox
class EditMaxHPDialog(QDialog):
def __init__(self, CharacterWindow):
super().__init__(parent=CharacterWindow)
# Store Parameters
self.CharacterWindow = Charac... | 0.468304 | 0.122313 |
import pathlib
import numpy as np
import pandas as pd
import pyproj
def vbar(vmodel, event_depth, station_elevation):
"""
Calculates the average velocity between source and receiver for a given
velocity model.
Only need the difference in the vertical axis as sines of angles will
cancel.
Par... | figures/figure6/functions/main.py | import pathlib
import numpy as np
import pandas as pd
import pyproj
def vbar(vmodel, event_depth, station_elevation):
"""
Calculates the average velocity between source and receiver for a given
velocity model.
Only need the difference in the vertical axis as sines of angles will
cancel.
Par... | 0.915938 | 0.754327 |
import math
import time
import context
import o80
import o80_pam
import pam_mujoco
mujoco_id = "balls"
# only accepted number of balls !
# nb_balls = 3
# nb_balls = 10
nb_balls = 20
## Boost error ! shared memory size issue ?
# nb_balls = 50
# nb_balls = 100
# creating ball items
balls = pam_mujoco.MujocoItems("extr... | balls/balls.py | import math
import time
import context
import o80
import o80_pam
import pam_mujoco
mujoco_id = "balls"
# only accepted number of balls !
# nb_balls = 3
# nb_balls = 10
nb_balls = 20
## Boost error ! shared memory size issue ?
# nb_balls = 50
# nb_balls = 100
# creating ball items
balls = pam_mujoco.MujocoItems("extr... | 0.416085 | 0.219494 |
# pylint: disable=invalid-name
# Method names comply with OSID specification.
# pylint: disable=no-init
# Abstract classes do not define __init__.
# pylint: disable=too-few-public-methods
# Some interfaces are specified as 'markers' and include no methods.
# pylint: disable=too-many-public-methods
# Num... | dlkit/abstract_osid/calendaring/sessions.py | # pylint: disable=invalid-name
# Method names comply with OSID specification.
# pylint: disable=no-init
# Abstract classes do not define __init__.
# pylint: disable=too-few-public-methods
# Some interfaces are specified as 'markers' and include no methods.
# pylint: disable=too-many-public-methods
# Num... | 0.758689 | 0.234834 |
import logging
from typing import Callable, Dict, List
import pytest
from eth_tester.exceptions import TransactionFailed
from eth_typing import HexAddress
from web3 import Web3
from web3.contract import Contract
from raiden_contracts.contract_manager import ContractManager
from raiden_contracts.tests.utils.constants ... | raiden_contracts/tests/fixtures/contracts.py | import logging
from typing import Callable, Dict, List
import pytest
from eth_tester.exceptions import TransactionFailed
from eth_typing import HexAddress
from web3 import Web3
from web3.contract import Contract
from raiden_contracts.contract_manager import ContractManager
from raiden_contracts.tests.utils.constants ... | 0.827306 | 0.188941 |
from googletrans import Translator
from openpyxl import Workbook
from openpyxl import load_workbook
from helper.db_helper import DBHelper
from json import JSONDecodeError
from random import randint
import time
def extractYandeTags():
wb = Workbook()
sheet = wb.get_active_sheet()
sheet.append(('数量', '标签'))... | analysis.py | from googletrans import Translator
from openpyxl import Workbook
from openpyxl import load_workbook
from helper.db_helper import DBHelper
from json import JSONDecodeError
from random import randint
import time
def extractYandeTags():
wb = Workbook()
sheet = wb.get_active_sheet()
sheet.append(('数量', '标签'))... | 0.36659 | 0.139631 |
ARTEMIS_EMOTIONS = ['amusement', 'awe', 'contentment', 'excitement',
'anger', 'disgust', 'fear', 'sadness', 'something else']
EMOTION_TO_IDX = {e: i for i, e in enumerate(ARTEMIS_EMOTIONS)}
IDX_TO_EMOTION = {EMOTION_TO_IDX[e]: e for e in EMOTION_TO_IDX}
POS_NEG_ELSE = {'amusement': 0, 'awe': 0... | artemis/emotions.py | ARTEMIS_EMOTIONS = ['amusement', 'awe', 'contentment', 'excitement',
'anger', 'disgust', 'fear', 'sadness', 'something else']
EMOTION_TO_IDX = {e: i for i, e in enumerate(ARTEMIS_EMOTIONS)}
IDX_TO_EMOTION = {EMOTION_TO_IDX[e]: e for e in EMOTION_TO_IDX}
POS_NEG_ELSE = {'amusement': 0, 'awe': 0... | 0.52683 | 0.303184 |
import pandas as pd
import numpy as np
START_PULL_UPS_UPPER_ANGLE_THRESHOLD = 40
END_PULL_UPS_UPPER_ANGLE_THRESHOLD = 130
TIME_FRAME_LIST = 20
reps_position = []
count_reps = 0
in_reps = 0
precedent_pos = 0
df_reps = pd.DataFrame(columns=['x_Nose','y_Nose','x_Neck','y_Neck','x_RShoulder','y_RShoulder','x_RElbow',
'y... | pull_ups_reps_counter.py | import pandas as pd
import numpy as np
START_PULL_UPS_UPPER_ANGLE_THRESHOLD = 40
END_PULL_UPS_UPPER_ANGLE_THRESHOLD = 130
TIME_FRAME_LIST = 20
reps_position = []
count_reps = 0
in_reps = 0
precedent_pos = 0
df_reps = pd.DataFrame(columns=['x_Nose','y_Nose','x_Neck','y_Neck','x_RShoulder','y_RShoulder','x_RElbow',
'y... | 0.14731 | 0.121139 |
import logging
import json
import base64
from django.core.paginator import Paginator
# Create your views here.
from rest_framework import viewsets, status
from rest_framework.decorators import action, detail_route
from rest_framework.generics import get_object_or_404
from rest_framework.response import Response
from d... | core/posts/views.py | import logging
import json
import base64
from django.core.paginator import Paginator
# Create your views here.
from rest_framework import viewsets, status
from rest_framework.decorators import action, detail_route
from rest_framework.generics import get_object_or_404
from rest_framework.response import Response
from d... | 0.228845 | 0.092074 |
import h5py
import torch
import numpy as np
import pytorch_lightning as pl
from torch.utils.data import TensorDataset, DataLoader
def mask_data(data, bandwidth, rng):
nan_mask = np.full(data.shape, np.nan)
for i, sample in enumerate(data):
for j, timestep in enumerate(sample):
neuron_ixs =... | sbtt-demo/data.py | import h5py
import torch
import numpy as np
import pytorch_lightning as pl
from torch.utils.data import TensorDataset, DataLoader
def mask_data(data, bandwidth, rng):
nan_mask = np.full(data.shape, np.nan)
for i, sample in enumerate(data):
for j, timestep in enumerate(sample):
neuron_ixs =... | 0.84672 | 0.62758 |
from .utils import read_src_and_trg_files, read_tokenized_src_file, get_node_edge
import random
class Retriever():
def __init__(self, opt, word2idx, tag='train'):
self.opt = opt
self.ref_docs = read_src_and_trg_files(opt.ref_doc_path, opt.ref_kp_path, max_src_len=opt.max_src_len)
if opt.de... | retrievers/retriever.py | from .utils import read_src_and_trg_files, read_tokenized_src_file, get_node_edge
import random
class Retriever():
def __init__(self, opt, word2idx, tag='train'):
self.opt = opt
self.ref_docs = read_src_and_trg_files(opt.ref_doc_path, opt.ref_kp_path, max_src_len=opt.max_src_len)
if opt.de... | 0.267504 | 0.153771 |
import copy
import torch
from mmcv.runner import obj_from_dict
from mmgen.models import GANLoss, L1Loss, build_model
from mmgen.models.architectures.pix2pix import (PatchDiscriminator,
UnetGenerator)
def test_pix2pix():
# model settings
model_cfg = dict(
... | tests/test_models/test_pix2pix.py | import copy
import torch
from mmcv.runner import obj_from_dict
from mmgen.models import GANLoss, L1Loss, build_model
from mmgen.models.architectures.pix2pix import (PatchDiscriminator,
UnetGenerator)
def test_pix2pix():
# model settings
model_cfg = dict(
... | 0.831793 | 0.367923 |
import json
import os
import logging
# Get the current logger object
logger = logging.getLogger(__name__)
class AppConfig():
""" This class holdes the application configuration parameters
:param gpsd_ip_address: The GPSD server IP address/hostname (default: '127.0.0.1')
:param gp... | config/config.py | import json
import os
import logging
# Get the current logger object
logger = logging.getLogger(__name__)
class AppConfig():
""" This class holdes the application configuration parameters
:param gpsd_ip_address: The GPSD server IP address/hostname (default: '127.0.0.1')
:param gp... | 0.664214 | 0.174147 |
from typing import Any
""" Class to encode and decode the input string """
class HuffmanCoding:
def recur(self, node, vi, val=''):
""" Recur to add nodes with huffman codes """
new_v = val + str(node.hufcode)
if(node.left):
self.recur(node.left, vi, new_v)
if (node.... | HuffmanCoding.py | from typing import Any
""" Class to encode and decode the input string """
class HuffmanCoding:
def recur(self, node, vi, val=''):
""" Recur to add nodes with huffman codes """
new_v = val + str(node.hufcode)
if(node.left):
self.recur(node.left, vi, new_v)
if (node.... | 0.819785 | 0.477006 |
import os
from sqlalchemy import create_engine
from sqlalchemy.engine import Engine
from sqlalchemy.orm import sessionmaker, scoped_session
import sqlparse
from robot.utils import ConnectionCache
from robot.api import logger
from .base import HybridCore
from .base import keyword
from .version import VERSION
os.envir... | src/DatabaseLib/library.py | import os
from sqlalchemy import create_engine
from sqlalchemy.engine import Engine
from sqlalchemy.orm import sessionmaker, scoped_session
import sqlparse
from robot.utils import ConnectionCache
from robot.api import logger
from .base import HybridCore
from .base import keyword
from .version import VERSION
os.envir... | 0.624408 | 0.097691 |
from rl_threat_hunting import result_evaluation
from rl_threat_hunting.utils import safely_traverse_dict
from rl_threat_hunting.constants import Classification
from rl_threat_hunting.constants import HuntingStatus
from rl_threat_hunting.constants import HuntingCategory
from rl_threat_hunting.mwp_metadata_adapter import... | rl_threat_hunting/cloud/cloud_reputation.py | from rl_threat_hunting import result_evaluation
from rl_threat_hunting.utils import safely_traverse_dict
from rl_threat_hunting.constants import Classification
from rl_threat_hunting.constants import HuntingStatus
from rl_threat_hunting.constants import HuntingCategory
from rl_threat_hunting.mwp_metadata_adapter import... | 0.41941 | 0.185966 |
import importlib
import pytest
module = importlib.import_module("19_an_elephant_named_joseph")
josephus = module.josephus
round_game = module.round_game
@pytest.mark.parametrize(
"elves, winner",
[
(1, 1),
(2, 1),
(3, 3),
(4, 1),
(5, 3),
(6, 5),
(7, 7)... | 2016/19_an_elephant_named_joseph_test.py | import importlib
import pytest
module = importlib.import_module("19_an_elephant_named_joseph")
josephus = module.josephus
round_game = module.round_game
@pytest.mark.parametrize(
"elves, winner",
[
(1, 1),
(2, 1),
(3, 3),
(4, 1),
(5, 3),
(6, 5),
(7, 7)... | 0.358016 | 0.523725 |
from bs4 import BeautifulSoup
import requests
import requests.exceptions
from urllib.parse import urlsplit
from collections import deque
import re
import datetime
import csv
# user is prompted for a queue of urls to be crawled
user_input_yes_no = "y"
user_urls = deque([])
while user_input_yes_no == "y":
user_input... | extract-email-from-url.py | from bs4 import BeautifulSoup
import requests
import requests.exceptions
from urllib.parse import urlsplit
from collections import deque
import re
import datetime
import csv
# user is prompted for a queue of urls to be crawled
user_input_yes_no = "y"
user_urls = deque([])
while user_input_yes_no == "y":
user_input... | 0.195825 | 0.084531 |
from math import prod
from typing import List, Tuple
import advent_of_code.utils.globals
def hex_to_bin(hex: str) -> str:
binary = ""
for d in hex:
binary += format(int(d, 16), "04b")
return binary
def compute_bits(binary_str: str) -> Tuple[int, str]:
# Account for header
version = int(... | src/advent_of_code/utils/bits.py | from math import prod
from typing import List, Tuple
import advent_of_code.utils.globals
def hex_to_bin(hex: str) -> str:
binary = ""
for d in hex:
binary += format(int(d, 16), "04b")
return binary
def compute_bits(binary_str: str) -> Tuple[int, str]:
# Account for header
version = int(... | 0.664867 | 0.396185 |
from typing import Type
import warnings
import fitz
import pytest
import pdfcheck.core
from pdfcheck.helper import inches_2_points
@pytest.fixture(scope="function")
def paper_size_coordinates() -> Type[pdfcheck.core.BoundingBox]:
"""
This fixture provides the paper size as bounding box (tuple of four values... | .github/actions/pdfcheck/pdfcheck/tests/margins.py | from typing import Type
import warnings
import fitz
import pytest
import pdfcheck.core
from pdfcheck.helper import inches_2_points
@pytest.fixture(scope="function")
def paper_size_coordinates() -> Type[pdfcheck.core.BoundingBox]:
"""
This fixture provides the paper size as bounding box (tuple of four values... | 0.89093 | 0.575916 |
import torch
import torch.nn as nn
from module.weight_init import *
class DenseNet_conv(nn.Module):
'''
doc
'''
def __init__(self, in_c, L=5, k=12, bn=False):
'''
dense block
:param in_c: input channel number
:param L: layer number in dense block
:param k: outp... | module/densenet.py | import torch
import torch.nn as nn
from module.weight_init import *
class DenseNet_conv(nn.Module):
'''
doc
'''
def __init__(self, in_c, L=5, k=12, bn=False):
'''
dense block
:param in_c: input channel number
:param L: layer number in dense block
:param k: outp... | 0.894355 | 0.363082 |
import os
import json
import urllib3
# Get mailgun secret from Lambda environment variables
mg_api = os.environ["MG_API"]
# Get hCaptcha secret from Lambda environment variables
h_captcha = os.environ["HC_API"]
bcc_emails = os.environ["EMAILS"]
# Use this (public) sitekey for hCaptcha
hcKey = "8398bfb2-83c8-45fe-b3c8... | lambda.py | import os
import json
import urllib3
# Get mailgun secret from Lambda environment variables
mg_api = os.environ["MG_API"]
# Get hCaptcha secret from Lambda environment variables
h_captcha = os.environ["HC_API"]
bcc_emails = os.environ["EMAILS"]
# Use this (public) sitekey for hCaptcha
hcKey = "8398bfb2-83c8-45fe-b3c8... | 0.362292 | 0.096323 |
import unittest
from typing import cast, Generic, Optional, List, TypeVar
from crosshair.condition_parser import *
class Foo:
"""A thingy.
Examples::
>>> 'blah'
'blah'
inv:: self.x >= 0
inv:
# a blank line with no indent is ok:
self.y >= 0
notasection:
... | crosshair/condition_parser_test.py | import unittest
from typing import cast, Generic, Optional, List, TypeVar
from crosshair.condition_parser import *
class Foo:
"""A thingy.
Examples::
>>> 'blah'
'blah'
inv:: self.x >= 0
inv:
# a blank line with no indent is ok:
self.y >= 0
notasection:
... | 0.781497 | 0.549701 |
# ======================================================================================================================
# Imports
# ======================================================================================================================
from python_practice.looping import *
class TestLoopingChallengeO... | tests/test_looping.py |
# ======================================================================================================================
# Imports
# ======================================================================================================================
from python_practice.looping import *
class TestLoopingChallengeO... | 0.813905 | 0.391231 |
import importlib
import pkgutil
from . import formatters
class AssetFormatter():
_by_name = {}
_by_extension = {}
def __init__(self, components=None, extensions=None):
self.components = components if components else (None, )
self.extensions = extensions
def __call__(self, fragment_f... | src/ttblit/asset/formatter.py | import importlib
import pkgutil
from . import formatters
class AssetFormatter():
_by_name = {}
_by_extension = {}
def __init__(self, components=None, extensions=None):
self.components = components if components else (None, )
self.extensions = extensions
def __call__(self, fragment_f... | 0.65368 | 0.137041 |
from celest.encounter.groundposition import GroundPosition
from celest.satellite.coordinate import Coordinate
from celest.satellite.time import Time
from unittest import TestCase
import numpy as np
import unittest
class TestCoordinate(TestCase):
def setUp(self):
"""Test fixure for test method execution."... | tests/test_satellite/test_coordinate.py | from celest.encounter.groundposition import GroundPosition
from celest.satellite.coordinate import Coordinate
from celest.satellite.time import Time
from unittest import TestCase
import numpy as np
import unittest
class TestCoordinate(TestCase):
def setUp(self):
"""Test fixure for test method execution."... | 0.904321 | 0.760562 |
import unittest
import numpy as np
from ..potential_functions import (two_gaussian_potential,
two_gaussian_potential_bc)
coords = np.array([0.5, 0.5])
vnew = 0.5
f2 = 1.0
class TestTwoGaussianPotentialFunctions(unittest.TestCase):
"""Tests for the various potential functions"... | LimPy/tests/test_two_gaussian_potential_functions.py |
import unittest
import numpy as np
from ..potential_functions import (two_gaussian_potential,
two_gaussian_potential_bc)
coords = np.array([0.5, 0.5])
vnew = 0.5
f2 = 1.0
class TestTwoGaussianPotentialFunctions(unittest.TestCase):
"""Tests for the various potential functions"... | 0.820649 | 0.640706 |
from unittest.mock import MagicMock, PropertyMock
import pytest
import abstracts
from aio.core import subprocess
@abstracts.implementer(subprocess.ISubprocessHandler)
class DummySubprocessHandlerInterface:
@property
def encoding(self):
return subprocess.ISubprocessHandler.encoding.fget(self)
... | aio.core/tests/test_subprocess_handler.py | from unittest.mock import MagicMock, PropertyMock
import pytest
import abstracts
from aio.core import subprocess
@abstracts.implementer(subprocess.ISubprocessHandler)
class DummySubprocessHandlerInterface:
@property
def encoding(self):
return subprocess.ISubprocessHandler.encoding.fget(self)
... | 0.705988 | 0.282349 |
import mock
import neutron_fwaas.services.firewall.drivers.mcafee as mcafee
import neutron_fwaas.services.firewall.drivers.mcafee.ngfw_fwaas as fwaas
from neutron.tests import base
FAKE_FIREWALL_ID = 'firewall_id'
FAKE_POLICY_ID = 'policy_id'
FAKE_TENANT_ID = 'tenant_id'
FAKE_ROUTER_ID = 'router_id'
FAKE_FW_NAME = ... | neutron_fwaas/tests/unit/services/firewall/drivers/mcafee/test_ngfw_fwaas.py |
import mock
import neutron_fwaas.services.firewall.drivers.mcafee as mcafee
import neutron_fwaas.services.firewall.drivers.mcafee.ngfw_fwaas as fwaas
from neutron.tests import base
FAKE_FIREWALL_ID = 'firewall_id'
FAKE_POLICY_ID = 'policy_id'
FAKE_TENANT_ID = 'tenant_id'
FAKE_ROUTER_ID = 'router_id'
FAKE_FW_NAME = ... | 0.40204 | 0.160924 |
import numpy as np
# axis = 'x' / 'y' ： 上下翻转/水平翻转
def flip(data, axis='x'):
if isinstance(data, np.ndarray) == False:
print("不支持非np.ndarray类型")
return data
if data.ndim != 3 and data.ndim != 4:
print("不支持2,3,4之外的维度")
return data
if data.ndim == 3:
ndata = np.expand... | GlowKeras/data_augmentation.py | import numpy as np
# axis = 'x' / 'y' ： 上下翻转/水平翻转
def flip(data, axis='x'):
if isinstance(data, np.ndarray) == False:
print("不支持非np.ndarray类型")
return data
if data.ndim != 3 and data.ndim != 4:
print("不支持2,3,4之外的维度")
return data
if data.ndim == 3:
ndata = np.expand... | 0.211417 | 0.543772 |
# Copyright 2016 University of Chicago
# Licensed under the APL 2.0 license
import argparse
import os
import sys
import psycopg2
import fsurfer
import fsurfer.helpers
import fsurfer.log
VERSION = fsurfer.__version__
def remove_input_file(input_file):
"""
Remove input file
:param input_file: path to i... | python/purge_inputs.py |
# Copyright 2016 University of Chicago
# Licensed under the APL 2.0 license
import argparse
import os
import sys
import psycopg2
import fsurfer
import fsurfer.helpers
import fsurfer.log
VERSION = fsurfer.__version__
def remove_input_file(input_file):
"""
Remove input file
:param input_file: path to i... | 0.420957 | 0.118691 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import pprint
from typing import Any, Tuple, Text, Optional, Mapping
from absl import app
from absl import flags
from absl import logging
import tensorflow as tf
from official.modeling.hyperparams import par... | tools/train_tf.py |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import pprint
from typing import Any, Tuple, Text, Optional, Mapping
from absl import app
from absl import flags
from absl import logging
import tensorflow as tf
from official.modeling.hyperparams import par... | 0.736021 | 0.154951 |
from abc import ABC
from abc import abstractmethod
from reader.unified_reader import InputReader
from helper.enum_definitions import InputFormatEnum
class InputParser(ABC):
@staticmethod
def factory(ipReader: InputReader, ipFormat: InputFormatEnum,
ipStructure: str = None):
inputParser ... | prodapt_solutions/parser/unified_parser.py | from abc import ABC
from abc import abstractmethod
from reader.unified_reader import InputReader
from helper.enum_definitions import InputFormatEnum
class InputParser(ABC):
@staticmethod
def factory(ipReader: InputReader, ipFormat: InputFormatEnum,
ipStructure: str = None):
inputParser ... | 0.85022 | 0.343727 |
# pylint: disable=missing-docstring,no-self-use
import contextlib
import pathlib
import unittest
from typing import List # pylint: disable=unused-import
import paramiko
import temppathlib
import spur.ssh
import spurplus
import spurplus.sftp
import tests.common
class TestConnectionFailure(unittest.TestCase):
"... | tests/test_sftp_live.py |
# pylint: disable=missing-docstring,no-self-use
import contextlib
import pathlib
import unittest
from typing import List # pylint: disable=unused-import
import paramiko
import temppathlib
import spur.ssh
import spurplus
import spurplus.sftp
import tests.common
class TestConnectionFailure(unittest.TestCase):
"... | 0.50952 | 0.276318 |
import json
import boto3
import common
from botocore.exceptions import ClientError
from s3 import *
def lambda_handler(event, context):
global aws_access_key_id, aws_secret_access_key, aws_session_token, CustAccID, Region
common_policies = ["S3bucketNoPublicAAUFull", "S3bucketNoPublicAAURead", "S3bucketNoPubli... | remediation-functions/s3/s3_suborchestrator.py | import json
import boto3
import common
from botocore.exceptions import ClientError
from s3 import *
def lambda_handler(event, context):
global aws_access_key_id, aws_secret_access_key, aws_session_token, CustAccID, Region
common_policies = ["S3bucketNoPublicAAUFull", "S3bucketNoPublicAAURead", "S3bucketNoPubli... | 0.324663 | 0.077938 |
from bitmovin import S3Input, S3Output, Encoding, StreamInput, AACCodecConfiguration, Stream, Bitmovin, CloudRegion, \
EncoderVersion, SelectionMode, H264CodecConfiguration, H264Profile, FMP4Muxing, EncodingOutput, \
StartEncodingRequest, MuxingStream, DashManifest, Period, VideoAdaptationSet, FMP4Representatio... | examples/encoding/create_per_title_encoding.py | from bitmovin import S3Input, S3Output, Encoding, StreamInput, AACCodecConfiguration, Stream, Bitmovin, CloudRegion, \
EncoderVersion, SelectionMode, H264CodecConfiguration, H264Profile, FMP4Muxing, EncodingOutput, \
StartEncodingRequest, MuxingStream, DashManifest, Period, VideoAdaptationSet, FMP4Representatio... | 0.348756 | 0.075961 |
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('inventory', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='group',
name='city',
field=models.CharField(blank=True, max_length=16, ... | inventory/migrations/0002_alter_group_city_alter_group_country_and_more.py |
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('inventory', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='group',
name='city',
field=models.CharField(blank=True, max_length=16, ... | 0.665628 | 0.169372 |
import sys
import os
from hashlib import md5, sha1
from zlib import crc32
import os
import time
import shutil
def get_filename_modifyTime(filename):
time.ctime(os.stat(filename).st_mtime)
time.ctime(os.stat(filename).st_ctime)
time.localtime(os.stat(filename).st_mtime)
ModifiedTime=time.localtime... | AdvancedRelease/AdvancedRelease.py | import sys
import os
from hashlib import md5, sha1
from zlib import crc32
import os
import time
import shutil
def get_filename_modifyTime(filename):
time.ctime(os.stat(filename).st_mtime)
time.ctime(os.stat(filename).st_ctime)
time.localtime(os.stat(filename).st_mtime)
ModifiedTime=time.localtime... | 0.146942 | 0.137619 |
from __future__ import print_function
from antlr4 import *
from io import StringIO
import sys
def serializedATN():
with StringIO() as buf:
buf.write(u"\3\u608b\ua72a\u8133\ub9ed\u417c\u3be7\u7786\u5964\2")
buf.write(u"\63\u018b\b\1\4\2\t\2\4\3\t\3\4\4\t\4\4\5\t\5\4\6\t\6")
buf.write(u"\4\7... | sympy/parsing/autolev/_antlr/autolevlexer.py | from __future__ import print_function
from antlr4 import *
from io import StringIO
import sys
def serializedATN():
with StringIO() as buf:
buf.write(u"\3\u608b\ua72a\u8133\ub9ed\u417c\u3be7\u7786\u5964\2")
buf.write(u"\63\u018b\b\1\4\2\t\2\4\3\t\3\4\4\t\4\4\5\t\5\4\6\t\6")
buf.write(u"\4\7... | 0.223038 | 0.285201 |
import datetime
import numpy as np
from ..base import Property
from ..models.measurement import MeasurementModel
from ..models.transition import TransitionModel
from ..reader import GroundTruthReader
from ..types.detection import TrueDetection, Clutter
from ..types.groundtruth import GroundTruthPath, GroundTruthState... | stonesoup/simulator/simple.py | import datetime
import numpy as np
from ..base import Property
from ..models.measurement import MeasurementModel
from ..models.transition import TransitionModel
from ..reader import GroundTruthReader
from ..types.detection import TrueDetection, Clutter
from ..types.groundtruth import GroundTruthPath, GroundTruthState... | 0.902599 | 0.473962 |
"""Perform integration tests for `orion.algo.nomad`."""
import os
import numpy
import orion.core.cli
import pytest
from orion.algo.space import Integer, Real, Space
from orion.client import create_experiment
from orion.core.utils.tests import OrionState
from orion.core.worker.primary_algo import PrimaryAlgo
# pylint... | tests/integration_test.py | """Perform integration tests for `orion.algo.nomad`."""
import os
import numpy
import orion.core.cli
import pytest
from orion.algo.space import Integer, Real, Space
from orion.client import create_experiment
from orion.core.utils.tests import OrionState
from orion.core.worker.primary_algo import PrimaryAlgo
# pylint... | 0.838614 | 0.463626 |
import paramiko
import logging
import time
import select
import socket
import traceback
from steelscript.cmdline import sshprocess
from steelscript.cmdline import exceptions
class Shell(object):
"""
Class for running shell command remotely and statelessly.
No persistent channel is maintained, so chang... | steelscript/cmdline/shell.py |
import paramiko
import logging
import time
import select
import socket
import traceback
from steelscript.cmdline import sshprocess
from steelscript.cmdline import exceptions
class Shell(object):
"""
Class for running shell command remotely and statelessly.
No persistent channel is maintained, so chang... | 0.533884 | 0.212028 |
planar_graph_evals = dict()
planar_graph_evals[100] = {
'y': 1.00000000000000,
'x': 0.03654477051892902919200923409811523110400,
'x*G_1_dx(x,y)': 0.037992196457707622946696582954948631589741128071633,
'G_1(x,y)': 0.037248430505369042824973498725034635645401138702917,
'G_1_dx(x,y)': 1.039606923732857132721102449652... | planar_graph_sampler/evaluations_planar_graph.py | planar_graph_evals = dict()
planar_graph_evals[100] = {
'y': 1.00000000000000,
'x': 0.03654477051892902919200923409811523110400,
'x*G_1_dx(x,y)': 0.037992196457707622946696582954948631589741128071633,
'G_1(x,y)': 0.037248430505369042824973498725034635645401138702917,
'G_1_dx(x,y)': 1.039606923732857132721102449652... | 0.17849 | 0.340814 |
from __future__ import unicode_literals
import os
import unittest
from webtest import TestApp
from pyramid.testing import DummyRequest
from billy import main
from billy.db.tables import DeclarativeBase
from billy.models import setup_database
from billy.models.model_factory import ModelFactory
from billy.tests.fixture... | billy/tests/functional/helper.py | from __future__ import unicode_literals
import os
import unittest
from webtest import TestApp
from pyramid.testing import DummyRequest
from billy import main
from billy.db.tables import DeclarativeBase
from billy.models import setup_database
from billy.models.model_factory import ModelFactory
from billy.tests.fixture... | 0.522446 | 0.119024 |
from flask import Flask, abort, jsonify, make_response, request, Blueprint
from app.api.version1.questions.models import Questions, questions
quest = Blueprint('questions', __name__, url_prefix='/questions')
@quest.route('/', methods=['GET'])
def fetch_all_qustions():
if len(questions) == 0:
return make_... | app/api/version1/questions/views.py | from flask import Flask, abort, jsonify, make_response, request, Blueprint
from app.api.version1.questions.models import Questions, questions
quest = Blueprint('questions', __name__, url_prefix='/questions')
@quest.route('/', methods=['GET'])
def fetch_all_qustions():
if len(questions) == 0:
return make_... | 0.350421 | 0.184676 |
from __future__ import unicode_literals
from __future__ import print_function
import re
from mutagen import id3
# pylint: disable=R0903
class MockResponse:
"""Mock requests.Response class for tests"""
def __init__(self, code, text):
self.status_code = code
self.text = text
class FakeFile(di... | test/fakers.py | from __future__ import unicode_literals
from __future__ import print_function
import re
from mutagen import id3
# pylint: disable=R0903
class MockResponse:
"""Mock requests.Response class for tests"""
def __init__(self, code, text):
self.status_code = code
self.text = text
class FakeFile(di... | 0.466359 | 0.07024 |
from neptune.generated.swagger_client.models import ParameterTypeEnum as PTE
from neptune.internal.cli import MLFramework
from neptune.internal.common.values import Tag
UNKNOWN_ML_FRAMEWORK = u"Invalid ml framework '{}'. Must be one of {}."
_PARAM_TYPE_MISMATCH = ("Invalid value '{value}' for parameter '{name}'. "
... | neptune/internal/common/config/validation_rules.py |
from neptune.generated.swagger_client.models import ParameterTypeEnum as PTE
from neptune.internal.cli import MLFramework
from neptune.internal.common.values import Tag
UNKNOWN_ML_FRAMEWORK = u"Invalid ml framework '{}'. Must be one of {}."
_PARAM_TYPE_MISMATCH = ("Invalid value '{value}' for parameter '{name}'. "
... | 0.605682 | 0.122104 |