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 |
|---|---|---|---|---|
__docformat__ = 'epytext en'
import os, re
from codebay.l2tpserver import constants
from codebay.l2tpserver import helpers
# list of pci hw files
_hwdata_sources = constants.PCI_HWDATA_SOURCES
# NB: some pci data has broken IDs, e.g. '003' instead of '0003' or
# '01234' instead of '1234' We need to fix these or ski... | src/python/codebay/l2tpserver/netidentify.py | __docformat__ = 'epytext en'
import os, re
from codebay.l2tpserver import constants
from codebay.l2tpserver import helpers
# list of pci hw files
_hwdata_sources = constants.PCI_HWDATA_SOURCES
# NB: some pci data has broken IDs, e.g. '003' instead of '0003' or
# '01234' instead of '1234' We need to fix these or ski... | 0.296552 | 0.088702 |
import tensorflow as tf
from tensorflow.contrib import slim
from tensorflow import keras
FLAGS = tf.app.flags.FLAGS
tf.app.flags.DEFINE_integer('image_height', 28, 'the height of image')
tf.app.flags.DEFINE_integer('image_width', 28, 'the width of image')
tf.app.flags.DEFINE_integer('batch_size', 128, 'Number of image... | mnist.py | import tensorflow as tf
from tensorflow.contrib import slim
from tensorflow import keras
FLAGS = tf.app.flags.FLAGS
tf.app.flags.DEFINE_integer('image_height', 28, 'the height of image')
tf.app.flags.DEFINE_integer('image_width', 28, 'the width of image')
tf.app.flags.DEFINE_integer('batch_size', 128, 'Number of image... | 0.896455 | 0.371023 |
################################################################################
## Form generated from reading UI file 'UIiEDzGo.ui'
##
## Created by: Qt User Interface Compiler version 5.15.2
##
## WARNING! All changes made in this file will be lost when recompiling UI file!
##################################... | UI.py |
################################################################################
## Form generated from reading UI file 'UIiEDzGo.ui'
##
## Created by: Qt User Interface Compiler version 5.15.2
##
## WARNING! All changes made in this file will be lost when recompiling UI file!
##################################... | 0.385953 | 0.05715 |
import logging
import cv2
import numpy as np
import pandas as pd
from torchvision import datasets, transforms
import torch
import random
from facenet_pytorch import MTCNN
from PIL import Image
from multiprocessing import cpu_count
class MTCNN_Model:
def __init__(self, model_parameters, inference_parameters):
... | tasks/cv-mtcnn-face-detection/mtcnn.py | import logging
import cv2
import numpy as np
import pandas as pd
from torchvision import datasets, transforms
import torch
import random
from facenet_pytorch import MTCNN
from PIL import Image
from multiprocessing import cpu_count
class MTCNN_Model:
def __init__(self, model_parameters, inference_parameters):
... | 0.654564 | 0.32146 |
import tensorflow as tf
from ...data import fields
from ...layers import Layer
from ...structures import ImageList, box_list
from ..backbone import build_backbone
from ..necks import build_neck
from ..proposal_generator import build_proposal_generator
from ..roi_heads import build_roi_heads
from ..postprocessing impor... | lib/modeling/meta_arch/rcnn.py | import tensorflow as tf
from ...data import fields
from ...layers import Layer
from ...structures import ImageList, box_list
from ..backbone import build_backbone
from ..necks import build_neck
from ..proposal_generator import build_proposal_generator
from ..roi_heads import build_roi_heads
from ..postprocessing impor... | 0.892445 | 0.366165 |
import tkinter as tk
window = tk.Tk()
window.title('Claculator')
numbers = ['0']
action = ['null']
### FUNCTIONS ###
# OUTPUT
def output_update(text):
value = lbl_output['text']
if len(numbers)==1:
if numbers[0]=='0':
value = value[:-1]
numbers.clear()
... | tkinter calculator v1.py | import tkinter as tk
window = tk.Tk()
window.title('Claculator')
numbers = ['0']
action = ['null']
### FUNCTIONS ###
# OUTPUT
def output_update(text):
value = lbl_output['text']
if len(numbers)==1:
if numbers[0]=='0':
value = value[:-1]
numbers.clear()
... | 0.081095 | 0.147893 |
from numpy import *
from pytrain.lib import convert
from pytrain.lib import ptmath
import operator
class HierarchicalClustering:
def __init__(self, mat_data, K, dist_func):
self.mat_data = convert.list2npfloat(mat_data)
self.dist_func = ptmath.distfunc(dist_func)
self.K = K
self.c... | pytrain/HierarchicalClustering/HierarchicalClustering.py |
from numpy import *
from pytrain.lib import convert
from pytrain.lib import ptmath
import operator
class HierarchicalClustering:
def __init__(self, mat_data, K, dist_func):
self.mat_data = convert.list2npfloat(mat_data)
self.dist_func = ptmath.distfunc(dist_func)
self.K = K
self.c... | 0.458591 | 0.226217 |
from django.contrib.auth import get_user_model
from django.db import models, transaction
from django.db.models.signals import pre_delete, pre_save
from django.dispatch import receiver
from django.utils.translation import gettext_lazy as _
from rules.contrib.models import RulesModel
from booking import rules
from booki... | booking/models/game.py | from django.contrib.auth import get_user_model
from django.db import models, transaction
from django.db.models.signals import pre_delete, pre_save
from django.dispatch import receiver
from django.utils.translation import gettext_lazy as _
from rules.contrib.models import RulesModel
from booking import rules
from booki... | 0.688049 | 0.179279 |
import unittest
from ..pygraph import (UndirectedGraph, find_biconnected_components, find_articulation_vertices, merge_graphs,
build_triangle_graph, build_square_graph, build_diamond_graph,
build_tetrahedral_graph, build_5_cycle_graph, build_gem_graph)
from . import utility_... | tests/test_biconnected_components.py |
import unittest
from ..pygraph import (UndirectedGraph, find_biconnected_components, find_articulation_vertices, merge_graphs,
build_triangle_graph, build_square_graph, build_diamond_graph,
build_tetrahedral_graph, build_5_cycle_graph, build_gem_graph)
from . import utility_... | 0.757436 | 0.64777 |
from __future__ import print_function
# PyDSTool imports
from PyDSTool import *
from PyDSTool.Toolbox.ParamEst import BoundMin, L2_feature_1D
from PyDSTool.common import metric_float_1D
import HH_model, IF_squarespike_model
# ----------------------------------------------------------------
trange = [0, 15]
par_args... | examples/pest_test2.py | from __future__ import print_function
# PyDSTool imports
from PyDSTool import *
from PyDSTool.Toolbox.ParamEst import BoundMin, L2_feature_1D
from PyDSTool.common import metric_float_1D
import HH_model, IF_squarespike_model
# ----------------------------------------------------------------
trange = [0, 15]
par_args... | 0.474631 | 0.335759 |
""" Presence detection (determine if an occupant is present in the house) """
import time
import wifi
from server.ping import async_ping
from server.notifier import Notifier
from server.server import Server
from tools import useful, jsonconfig, lang, tasking
class PresenceConfig(jsonconfig.JsonConfig):
""" Configurat... | modules/lib/server/presence.py | """ Presence detection (determine if an occupant is present in the house) """
import time
import wifi
from server.ping import async_ping
from server.notifier import Notifier
from server.server import Server
from tools import useful, jsonconfig, lang, tasking
class PresenceConfig(jsonconfig.JsonConfig):
""" Configurat... | 0.384219 | 0.144662 |
from __future__ import annotations
import os
import typing
from ..blockchain.network_type import OptionalNetworkType
from ... import util
__all__ = ['MosaicNonce']
RawNonceType = typing.Union[int, bytes, str]
def nonce_as_bytes(nonce: RawNonceType):
"""Convert nonce to underlying byte array."""
if isinstan... | xpxchain/models/mosaic/mosaic_nonce.py | from __future__ import annotations
import os
import typing
from ..blockchain.network_type import OptionalNetworkType
from ... import util
__all__ = ['MosaicNonce']
RawNonceType = typing.Union[int, bytes, str]
def nonce_as_bytes(nonce: RawNonceType):
"""Convert nonce to underlying byte array."""
if isinstan... | 0.773302 | 0.375134 |
import pprint
import sgtk
HookBaseClass = sgtk.get_hook_baseclass()
class ShellActions(HookBaseClass):
"""
Stub implementation of the shell actions, used for testing.
"""
def generate_actions(self, sg_publish_data, actions, ui_area):
"""
Return a list of action instances for a partic... | install/app_store/tk-multi-loader2/v1.18.0/hooks/tk-shell_actions.py | import pprint
import sgtk
HookBaseClass = sgtk.get_hook_baseclass()
class ShellActions(HookBaseClass):
"""
Stub implementation of the shell actions, used for testing.
"""
def generate_actions(self, sg_publish_data, actions, ui_area):
"""
Return a list of action instances for a partic... | 0.724188 | 0.466359 |
import pycurl
try:
from io import BytesIO
except ImportError:
from StringIO import StringIO as BytesIO
try:
from urllib.parse import urlencode
except ImportError:
from urllib import urlencode
import json
# Version 1.0.0
# This class is written to be compatible with Python 2 and Python 3
class CDNsunCd... | cdn_api_client.py | import pycurl
try:
from io import BytesIO
except ImportError:
from StringIO import StringIO as BytesIO
try:
from urllib.parse import urlencode
except ImportError:
from urllib import urlencode
import json
# Version 1.0.0
# This class is written to be compatible with Python 2 and Python 3
class CDNsunCd... | 0.424293 | 0.085175 |
#<NAME>
'''Takes a base oligo or generates one. Chains mutations in sequentially, have any number of forks'''
#Imports
import argparse
import random
#Functions
def generate_random_seq(alpha,l=20):
'''Generates a random nucleotide sequence'''
return ''.join([random.choice(alpha) for z in range(0,l)])
def add... | oligo_permutations.py |
#<NAME>
'''Takes a base oligo or generates one. Chains mutations in sequentially, have any number of forks'''
#Imports
import argparse
import random
#Functions
def generate_random_seq(alpha,l=20):
'''Generates a random nucleotide sequence'''
return ''.join([random.choice(alpha) for z in range(0,l)])
def add... | 0.345989 | 0.230422 |
from molmodmt.utils.exceptions import *
from os.path import basename as _basename
from mdtraj.core.topology import Topology as _mdtraj_Topology
form_name=_basename(__file__).split('.')[0].replace('api_','').replace('_','.')
is_form={
_mdtraj_Topology : form_name,
'mdtraj.Topology': form_name
}
def to_aminoac... | molmodmt/forms/classes/api_mdtraj_Topology.py | from molmodmt.utils.exceptions import *
from os.path import basename as _basename
from mdtraj.core.topology import Topology as _mdtraj_Topology
form_name=_basename(__file__).split('.')[0].replace('api_','').replace('_','.')
is_form={
_mdtraj_Topology : form_name,
'mdtraj.Topology': form_name
}
def to_aminoac... | 0.330903 | 0.15084 |
from sklearn.ensemble import AdaBoostRegressor
from sklearn.ensemble import GradientBoostingRegressor
from xgboost import XGBRegressor
from sklearn.model_selection import RandomizedSearchCV
import pandas as pd
import warnings
warnings.filterwarnings('ignore')
from logger.LoggerClass import LoggerFileClass
logger = Lo... | algo/BoostingModels.py | from sklearn.ensemble import AdaBoostRegressor
from sklearn.ensemble import GradientBoostingRegressor
from xgboost import XGBRegressor
from sklearn.model_selection import RandomizedSearchCV
import pandas as pd
import warnings
warnings.filterwarnings('ignore')
from logger.LoggerClass import LoggerFileClass
logger = Lo... | 0.860823 | 0.618176 |
# External Modules
import logging
import os
logger = logging.getLogger('logger')
current_dir = os.path.dirname(os.path.realpath(__file__))
class FileProvider(object):
def __init__(self, directory_to_search):
self.exclude_files = [
"ccf_ctl.v",
"design_error.inc",
"fl... | hdk/tests/validate_file_headers/fileprovider.py |
# External Modules
import logging
import os
logger = logging.getLogger('logger')
current_dir = os.path.dirname(os.path.realpath(__file__))
class FileProvider(object):
def __init__(self, directory_to_search):
self.exclude_files = [
"ccf_ctl.v",
"design_error.inc",
"fl... | 0.324342 | 0.08617 |
class Operation(object):
# no doc
@staticmethod
def AddToPourUnit(inputPour,objectsToBeAdded):
""" AddToPourUnit(inputPour: PourObject,objectsToBeAdded: List[ModelObject]) -> bool """
pass
@staticmethod
def CreateBasePoint(basePoint):
""" CreateBasePoint(basePoint: BasePoint) -> bool """
pass
@s... | release/stubs.min/Tekla/Structures/ModelInternal_parts/Operation.py | class Operation(object):
# no doc
@staticmethod
def AddToPourUnit(inputPour,objectsToBeAdded):
""" AddToPourUnit(inputPour: PourObject,objectsToBeAdded: List[ModelObject]) -> bool """
pass
@staticmethod
def CreateBasePoint(basePoint):
""" CreateBasePoint(basePoint: BasePoint) -> bool """
pass
@s... | 0.542136 | 0.179495 |
import matplotlib.pyplot as plt
import seaborn as sns
from particle.plotting import (
plot_averaged_convergence_from_clusters,
plot_averaged_avg_vel,
# plot_avg_vel,
)
# rc("text", usetex=True)
sns.set(style="white", context="talk")
search_parameters = {
"particle_count": 480,
"G": "Smooth",
... | noisysystem_temp/Analysis/CutoffPhiAnalysis.py | import matplotlib.pyplot as plt
import seaborn as sns
from particle.plotting import (
plot_averaged_convergence_from_clusters,
plot_averaged_avg_vel,
# plot_avg_vel,
)
# rc("text", usetex=True)
sns.set(style="white", context="talk")
search_parameters = {
"particle_count": 480,
"G": "Smooth",
... | 0.580352 | 0.561395 |
import numpy as np
import pandas as pd
import rdt
from sklearn.model_selection import train_test_split
from sdmetrics.goal import Goal
from sdmetrics.timeseries.base import TimeSeriesMetric
class TimeSeriesEfficacyMetric(TimeSeriesMetric):
"""Base class for Machine Learning Efficacy based metrics on time series... | sdmetrics/timeseries/efficacy/base.py |
import numpy as np
import pandas as pd
import rdt
from sklearn.model_selection import train_test_split
from sdmetrics.goal import Goal
from sdmetrics.timeseries.base import TimeSeriesMetric
class TimeSeriesEfficacyMetric(TimeSeriesMetric):
"""Base class for Machine Learning Efficacy based metrics on time series... | 0.943712 | 0.592254 |
from __future__ import unicode_literals
from django.db import models, migrations
from django.conf import settings
class Migration(migrations.Migration):
dependencies = [
('auth', '0001_initial'),
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('contenttypes', '0001_initial'),... | mdid3/core/access/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 = [
('auth', '0001_initial'),
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('contenttypes', '0001_initial'),... | 0.607314 | 0.154153 |
from PIL import Image
import os
import glob
class CleanImages:
def __init__(self, path: str, output_path: str) -> None:
"""Creates the CleanImages object and sets the path to the images.
Args:
path (str): path to the images.
"""
self.path = path
self.out... | classes/clean_images.py | from PIL import Image
import os
import glob
class CleanImages:
def __init__(self, path: str, output_path: str) -> None:
"""Creates the CleanImages object and sets the path to the images.
Args:
path (str): path to the images.
"""
self.path = path
self.out... | 0.63861 | 0.317876 |
import json
import time
import requests
import os
import sys
reload(sys)
sys.setdefaultencoding('utf-8')
# zabbix认证信息
zabbix_url = "http://52.80.127.55/zabbix/api_jsonrpc.php"
zabbix_username = "Admin"
zabbix_password = "<PASSWORD>"
#全局变量定义
local_path = os.path.split(os.path.realpath(__file__))[0]
log_file = local_path... | zabbixapi.py | import json
import time
import requests
import os
import sys
reload(sys)
sys.setdefaultencoding('utf-8')
# zabbix认证信息
zabbix_url = "http://52.80.127.55/zabbix/api_jsonrpc.php"
zabbix_username = "Admin"
zabbix_password = "<PASSWORD>"
#全局变量定义
local_path = os.path.split(os.path.realpath(__file__))[0]
log_file = local_path... | 0.118742 | 0.118105 |
import docx
import re
import pandas as pd
import os
def get_filelist(dir_path):
filelist = []
for file in os.scandir(dir_path):
filelist.append(file.path)
return filelist
def read_tplt(tplt_word):
dic_fill = {} # 记录信息位置与要填写位置的映射字典
pattern = '{\d+}' # 设定模式
document = d... | CoolTurnProject/WordToExcel/word_to_excel.py | import docx
import re
import pandas as pd
import os
def get_filelist(dir_path):
filelist = []
for file in os.scandir(dir_path):
filelist.append(file.path)
return filelist
def read_tplt(tplt_word):
dic_fill = {} # 记录信息位置与要填写位置的映射字典
pattern = '{\d+}' # 设定模式
document = d... | 0.10179 | 0.165526 |
import pickle as pkl
from collections import Iterable
import os
import logging
import io
import numpy as np
try:
xrange
except NameError: # python3
xrange = range
logger = logging.getLogger('LineCache')
class LineCache(object):
'''
LineCache caches the line position of a file in the memory. Everytim... | linecache_light/linecache_light.py | import pickle as pkl
from collections import Iterable
import os
import logging
import io
import numpy as np
try:
xrange
except NameError: # python3
xrange = range
logger = logging.getLogger('LineCache')
class LineCache(object):
'''
LineCache caches the line position of a file in the memory. Everytim... | 0.392104 | 0.087175 |
from rest_framework import generics, views
from rest_framework import status
from rest_framework.parsers import MultiPartParser
from rest_framework.permissions import IsAuthenticated
from rest_framework.response import Response
from src.apps.core.views import BaseModelViewSet
from src.apps.core.utilities.response_uti... | src/apps/user_profile/api/views.py |
from rest_framework import generics, views
from rest_framework import status
from rest_framework.parsers import MultiPartParser
from rest_framework.permissions import IsAuthenticated
from rest_framework.response import Response
from src.apps.core.views import BaseModelViewSet
from src.apps.core.utilities.response_uti... | 0.767167 | 0.118742 |
from thinglang.utils.exception_utils import ThinglangException
class TargetNotCallable(ThinglangException):
"""
An attempt was made to call a target which is not a method, or is not callable.
For example, attempting to call a class member
"""
class CapturedVoidMethod(ThinglangException):
"""
... | thinglang/compiler/errors.py | from thinglang.utils.exception_utils import ThinglangException
class TargetNotCallable(ThinglangException):
"""
An attempt was made to call a target which is not a method, or is not callable.
For example, attempting to call a class member
"""
class CapturedVoidMethod(ThinglangException):
"""
... | 0.901487 | 0.278649 |
import shutil
import subprocess
import webbrowser
from pathlib import Path
from typing import Union
import typer
from rich import print
from rich.table import Table
from clumper import Clumper
from skedulord import __version__ as lord_version
from skedulord.job import JobRunner
from skedulord.common import SKEDULORD_... | skedulord/__main__.py | import shutil
import subprocess
import webbrowser
from pathlib import Path
from typing import Union
import typer
from rich import print
from rich.table import Table
from clumper import Clumper
from skedulord import __version__ as lord_version
from skedulord.job import JobRunner
from skedulord.common import SKEDULORD_... | 0.691602 | 0.154312 |
from __future__ import print_function
import os
import getopt
import sys
import subprocess
import re
def exit_with_usage(error=0, msg=""):
if error != 0:
print("Error: " + msg)
print("usage: ./skrm [OPTIONS] [COMMANDS] [TAGS]")
print("skrm stands for simple keyring manager, it stores keys with tag... | skrm/keyring_manager.py | from __future__ import print_function
import os
import getopt
import sys
import subprocess
import re
def exit_with_usage(error=0, msg=""):
if error != 0:
print("Error: " + msg)
print("usage: ./skrm [OPTIONS] [COMMANDS] [TAGS]")
print("skrm stands for simple keyring manager, it stores keys with tag... | 0.343782 | 0.167968 |
from __future__ import print_function, division
from pathlib import Path
import numpy as np
import random
import json
import sys
import os
import argparse
from shutil import copyfile
import networkx as nx
from networkx.readwrite import json_graph
import pdb
def parse_args():
parser = argparse.ArgumentParser(desc... | utils/get_sub_graph.py | from __future__ import print_function, division
from pathlib import Path
import numpy as np
import random
import json
import sys
import os
import argparse
from shutil import copyfile
import networkx as nx
from networkx.readwrite import json_graph
import pdb
def parse_args():
parser = argparse.ArgumentParser(desc... | 0.291283 | 0.159872 |
import os
from unittest.mock import patch, mock_open
import psutil
from rucio_jupyterlab.rucio.download import RucioFileDownloader
def test_rucio_file_downloader_is_downloading__lockfile_not_exists__should_return_false(mocker):
mocker.patch.object(os.path, 'isfile', return_value=False)
result = RucioFileDown... | rucio_jupyterlab/tests/test_rucio_file_downloader.py |
import os
from unittest.mock import patch, mock_open
import psutil
from rucio_jupyterlab.rucio.download import RucioFileDownloader
def test_rucio_file_downloader_is_downloading__lockfile_not_exists__should_return_false(mocker):
mocker.patch.object(os.path, 'isfile', return_value=False)
result = RucioFileDown... | 0.491456 | 0.205695 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from contextlib import contextmanager
import logging
import re
import subprocess
from octoeb.utils.config import get_config
from octoeb.utils.config import get_config_va... | octoeb/utils/git.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from contextlib import contextmanager
import logging
import re
import subprocess
from octoeb.utils.config import get_config
from octoeb.utils.config import get_config_va... | 0.740362 | 0.08218 |
from matplotlib.pyplot import draw
import numpy as np
import pandas as pd
import skfuzzy as fz
from skfuzzy import control as ctrl
import matplotlib.pyplot as plt
class FIS:
def __init__(self):
evoparation = ctrl.Antecedent(np.arange(0, 15, 0.2), 'evoparation') # chia độ bốc hơi từ 0-15 với khoảng các... | src/FuzzyLogic.py | from matplotlib.pyplot import draw
import numpy as np
import pandas as pd
import skfuzzy as fz
from skfuzzy import control as ctrl
import matplotlib.pyplot as plt
class FIS:
def __init__(self):
evoparation = ctrl.Antecedent(np.arange(0, 15, 0.2), 'evoparation') # chia độ bốc hơi từ 0-15 với khoảng các... | 0.173989 | 0.435301 |
from typing import Callable, Tuple, Union, Optional, Dict
import numpy as np
from inspect import signature
class Op:
def __init__(self, name: str, description: str, op: Callable, partial_difs: Tuple[Callable]):
assert len(signature(op).parameters) == len(partial_difs)
self._name = name
se... | ibtd/operations.py | from typing import Callable, Tuple, Union, Optional, Dict
import numpy as np
from inspect import signature
class Op:
def __init__(self, name: str, description: str, op: Callable, partial_difs: Tuple[Callable]):
assert len(signature(op).parameters) == len(partial_difs)
self._name = name
se... | 0.948965 | 0.5083 |
__version__ = '0.8.1'
__date__ = '$Date: 16 Dec 2011 $'
no_blue = False;
try:
import bluetooth
except ImportError:
no_blue = True;
no_serial = False;
try:
import serial
except ImportError:
no_serial = True;
import math
import time
uuid = "00... | libs/emant.py | __version__ = '0.8.1'
__date__ = '$Date: 16 Dec 2011 $'
no_blue = False;
try:
import bluetooth
except ImportError:
no_blue = True;
no_serial = False;
try:
import serial
except ImportError:
no_serial = True;
import math
import time
uuid = "00... | 0.267026 | 0.0809 |
import time
import os
import argparse
import cv2
import glob
def calculate_flow(use_gpu=True, device_id=None, vid_file=None, flow_x=None, flow_y=None, image=None, boundary=20, opt_type=1, step=1, out_type='dir'):
command = ''
if use_gpu:
command += './extract_gpu '
else:
command += './... | extract_flow.py | import time
import os
import argparse
import cv2
import glob
def calculate_flow(use_gpu=True, device_id=None, vid_file=None, flow_x=None, flow_y=None, image=None, boundary=20, opt_type=1, step=1, out_type='dir'):
command = ''
if use_gpu:
command += './extract_gpu '
else:
command += './... | 0.353205 | 0.078961 |
import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding model 'Attachment'
db.create_table('mail_attachment', (
('id', self.gf('django.db.models.fields.AutoField')(pri... | foiamachine/apps/mail/migrations/0001_initial.py | import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding model 'Attachment'
db.create_table('mail_attachment', (
('id', self.gf('django.db.models.fields.AutoField')(pri... | 0.446012 | 0.087175 |
import logging as log
log.basicConfig(level=log.INFO)
try:
from .speech2text import Transcriber
except:
log.warning("Transcriber not imported!")
from .ontology import FoodOntology
from .analysis import Analyzer
from .dialog_management import DialogManager, Utterance, State
from .generation import G... | src/pipeline.py | import logging as log
log.basicConfig(level=log.INFO)
try:
from .speech2text import Transcriber
except:
log.warning("Transcriber not imported!")
from .ontology import FoodOntology
from .analysis import Analyzer
from .dialog_management import DialogManager, Utterance, State
from .generation import G... | 0.188212 | 0.044974 |
import numpy
from numpy import *
class ProcessingSequence:
def __init__(self,
mimo_demodulation,
array_preprocessing,
fourier_transformations,
noise_power_estimation,
peak_finding,
Tsl_r,Tsl_v,Tsl_a,Tsl_e,
... | pre_processing.py | import numpy
from numpy import *
class ProcessingSequence:
def __init__(self,
mimo_demodulation,
array_preprocessing,
fourier_transformations,
noise_power_estimation,
peak_finding,
Tsl_r,Tsl_v,Tsl_a,Tsl_e,
... | 0.587115 | 0.454714 |
import functools
from absl import app
from absl import flags
from acme.agents.jax import pwil
from acme.agents.jax import sac
from acme.datasets import tfds
import helpers
import launchpad as lp
FLAGS = flags.FLAGS
flags.DEFINE_string('task', 'HalfCheetah-v2', 'GYM environment task (str).')
flags.DEFINE_string(
'... | examples/gym/lp_local_pwil_jax.py | import functools
from absl import app
from absl import flags
from acme.agents.jax import pwil
from acme.agents.jax import sac
from acme.datasets import tfds
import helpers
import launchpad as lp
FLAGS = flags.FLAGS
flags.DEFINE_string('task', 'HalfCheetah-v2', 'GYM environment task (str).')
flags.DEFINE_string(
'... | 0.666171 | 0.257193 |
import numpy as np
import operator
import json
import os
import tree_plotter
def create_test_dataset():
dataset = [[1,1,'yes'],
[1,1,'yes'],
[1,0,'no'],
[0,1,'no'],
[0,1,'no']];
feature_names = ['no surfacing','flippers']
return dataset,featur... | trees.py | import numpy as np
import operator
import json
import os
import tree_plotter
def create_test_dataset():
dataset = [[1,1,'yes'],
[1,1,'yes'],
[1,0,'no'],
[0,1,'no'],
[0,1,'no']];
feature_names = ['no surfacing','flippers']
return dataset,featur... | 0.147371 | 0.342681 |
from sap.pet_impl import *
from sap.battle import Battle
from test_helpers import dummy_pet, TestRandom, DummyPlayer
import logging
class TestPetImplBattle:
def test_solo_mosquito(self):
b = Battle(
[Mosquito.spawn()], [dummy_pet(toughness=1)]
)
b.battle()
assert len(b.t... | tests/test_pet_impl_battle.py | from sap.pet_impl import *
from sap.battle import Battle
from test_helpers import dummy_pet, TestRandom, DummyPlayer
import logging
class TestPetImplBattle:
def test_solo_mosquito(self):
b = Battle(
[Mosquito.spawn()], [dummy_pet(toughness=1)]
)
b.battle()
assert len(b.t... | 0.608129 | 0.65736 |
import time
import json
import logging
import threading
from urllib.request import urlopen
from urllib.error import HTTPError, URLError
class Observer:
def __init__(self, host, event_callback):
logging.basicConfig(level=logging.DEBUG, format='%(asctime)s %(threadName)s\t%(levelname)-8s\t%(message)s')
... | observer.py | import time
import json
import logging
import threading
from urllib.request import urlopen
from urllib.error import HTTPError, URLError
class Observer:
def __init__(self, host, event_callback):
logging.basicConfig(level=logging.DEBUG, format='%(asctime)s %(threadName)s\t%(levelname)-8s\t%(message)s')
... | 0.322633 | 0.075756 |
from .UartStream import *
from ..Exceptions import *
from ..Manager import *
from ..StreamDevice import *
from ..StreamParserGenerator import *
from ..StreamProtocol import *
class UartManager(Manager):
"""Serial device manager for abstracting stream and parser management.
This class implements a comprehensiv... | perilib/hal/UartManager.py | from .UartStream import *
from ..Exceptions import *
from ..Manager import *
from ..StreamDevice import *
from ..StreamParserGenerator import *
from ..StreamProtocol import *
class UartManager(Manager):
"""Serial device manager for abstracting stream and parser management.
This class implements a comprehensiv... | 0.812719 | 0.235493 |
from darwinexapis.API.InfoAPI.DWX_Info_API import DWX_Info_API
from telegramBot import NotificationsTelegramBot
# Import the logger:
import logging, json
logger = logging.getLogger()
class DRefresherClass(object):
'''Service to be executed at X timeframe and refresh the tokens.
Ex (execute every 30 min)... | D-Refresher/D_Refresher.py | from darwinexapis.API.InfoAPI.DWX_Info_API import DWX_Info_API
from telegramBot import NotificationsTelegramBot
# Import the logger:
import logging, json
logger = logging.getLogger()
class DRefresherClass(object):
'''Service to be executed at X timeframe and refresh the tokens.
Ex (execute every 30 min)... | 0.538498 | 0.112065 |
import unittest
from yookassa_payout.domain.exceptions.api_error import ApiError
from yookassa_payout.domain.response.deposition_response_builder import DepositionResponseBuilder
from yookassa_payout.domain.response.make_deposition_response import MakeDepositionResponse
from yookassa_payout.domain.response.test_deposi... | tests/unit/test_deposition_response_builder.py | import unittest
from yookassa_payout.domain.exceptions.api_error import ApiError
from yookassa_payout.domain.response.deposition_response_builder import DepositionResponseBuilder
from yookassa_payout.domain.response.make_deposition_response import MakeDepositionResponse
from yookassa_payout.domain.response.test_deposi... | 0.587352 | 0.286821 |
from __future__ import print_function
from collections import OrderedDict
import itertools
def test_config(python, chainer, target, chainerx):
if chainerx:
s_chainerx = '.chx'
else:
s_chainerx = ''
key = 'chainerch.py{}.{}.{}{}'.format(python, chainer, target, s_chainerx)
value = Ord... | .flexci/gen_config.py | from __future__ import print_function
from collections import OrderedDict
import itertools
def test_config(python, chainer, target, chainerx):
if chainerx:
s_chainerx = '.chx'
else:
s_chainerx = ''
key = 'chainerch.py{}.{}.{}{}'.format(python, chainer, target, s_chainerx)
value = Ord... | 0.455925 | 0.101056 |
from styx_msgs.msg import TrafficLight
import csv
import cv2
import numpy as np
from math import ceil, exp, log
from enum import Enum
from keras.models import load_model
# I had to make TWO totally ugly and disgusting hack because of a Keras bugs:
# a) https://github.com/keras-team/keras/issues/7431
# b) https://g... | ros/src/tl_detector/light_classification/tl_classifier_site.py | from styx_msgs.msg import TrafficLight
import csv
import cv2
import numpy as np
from math import ceil, exp, log
from enum import Enum
from keras.models import load_model
# I had to make TWO totally ugly and disgusting hack because of a Keras bugs:
# a) https://github.com/keras-team/keras/issues/7431
# b) https://g... | 0.762159 | 0.203549 |
import logging
from time import tzname
from subprocess import call
SYSTEM_SITE_ID = "system"
LOGGER = logging.getLogger("timevortex")
KEY_SITE_ID = "siteID"
KEY_VARIABLE_ID = "variableID"
KEY_VALUE = "value"
KEY_DATE = "date"
KEY_DST_TIMEZONE = "dstTimezone"
KEY_NON_DST_TIMEZONE = "nonDstTimezone"
KEY_ERROR = "error"
... | timevortex/utils/globals.py | import logging
from time import tzname
from subprocess import call
SYSTEM_SITE_ID = "system"
LOGGER = logging.getLogger("timevortex")
KEY_SITE_ID = "siteID"
KEY_VARIABLE_ID = "variableID"
KEY_VALUE = "value"
KEY_DATE = "date"
KEY_DST_TIMEZONE = "dstTimezone"
KEY_NON_DST_TIMEZONE = "nonDstTimezone"
KEY_ERROR = "error"
... | 0.344333 | 0.03949 |
import torch.nn as nn
import torch
from tensorboardX import SummaryWriter
from torchsummary import summary
class Net(nn.Module):
def __init__(self, features):
super(Net, self).__init__()
self.layer0 = nn.Sequential(nn.Linear(features, 16), nn.ReLU(),nn.BatchNorm1d(16))
self.layer1 = nn.... | Net/model.py | import torch.nn as nn
import torch
from tensorboardX import SummaryWriter
from torchsummary import summary
class Net(nn.Module):
def __init__(self, features):
super(Net, self).__init__()
self.layer0 = nn.Sequential(nn.Linear(features, 16), nn.ReLU(),nn.BatchNorm1d(16))
self.layer1 = nn.... | 0.932199 | 0.475727 |
__description__ = \
"""
Compute the positions of nodes in a flattened genotype-phenotype map. This goes
into the core NetworkX DiGraph object as the "pos" call.
"""
__author__ = "<NAME>"
from gpgraph import check
import numpy as np
def flattened(G, node_list=None, scale=1, vertical=False):
"""
Get flattened ... | gpgraph/pyplot/pos.py | __description__ = \
"""
Compute the positions of nodes in a flattened genotype-phenotype map. This goes
into the core NetworkX DiGraph object as the "pos" call.
"""
__author__ = "<NAME>"
from gpgraph import check
import numpy as np
def flattened(G, node_list=None, scale=1, vertical=False):
"""
Get flattened ... | 0.817829 | 0.604049 |
import argparse
import errno
import http.server
import os
import socketserver
import sys
from datetime import date
from pathlib import Path
import helpers
from builder import Builder
__version__ = '3.2.0'
CONFIG_FILE = 'config.yaml'
def show_statistics():
articles = 0
drafts = 0
word_count_total = 0
... | blogy.py | import argparse
import errno
import http.server
import os
import socketserver
import sys
from datetime import date
from pathlib import Path
import helpers
from builder import Builder
__version__ = '3.2.0'
CONFIG_FILE = 'config.yaml'
def show_statistics():
articles = 0
drafts = 0
word_count_total = 0
... | 0.157622 | 0.071138 |
import numpy as np
from scipy import ndimage
from loguru import logger
from skimage.morphology import skeletonize as skeletonize_skimage
def erode(I, num_iter, thresh=0.5):
I -= np.min(I)
I = I / np.max(I)
I = (I >= thresh) * 1.0
struct2 = ndimage.generate_binary_structure(3, 2)
for i in range(... | survos2/server/filtering/morph.py | import numpy as np
from scipy import ndimage
from loguru import logger
from skimage.morphology import skeletonize as skeletonize_skimage
def erode(I, num_iter, thresh=0.5):
I -= np.min(I)
I = I / np.max(I)
I = (I >= thresh) * 1.0
struct2 = ndimage.generate_binary_structure(3, 2)
for i in range(... | 0.514156 | 0.493531 |
from datetime import datetime
import os
import socket
import json
from sqlite3 import Timestamp
from celery import shared_task
from progressui.backend import ProgressSend
from git.repo.base import Repo
from tools import shell, git, bbcommand, patch, bbfile, dishes
from tools import migration
from tools.migration import... | src/projects/tasks.py | from datetime import datetime
import os
import socket
import json
from sqlite3 import Timestamp
from celery import shared_task
from progressui.backend import ProgressSend
from git.repo.base import Repo
from tools import shell, git, bbcommand, patch, bbfile, dishes
from tools import migration
from tools.migration import... | 0.109135 | 0.066327 |
import unittest
import mock
from google.api_core import exceptions
from google.cloud import datacatalog
from google.datacatalog_connectors.commons_test import utils
from google.protobuf import timestamp_pb2
from google.datacatalog_connectors import commons
class DataCatalogFacadeTestCase(unittest.TestCase):
__... | google-datacatalog-connectors-commons/tests/google/datacatalog_connectors/commons/datacatalog_facade_test.py |
import unittest
import mock
from google.api_core import exceptions
from google.cloud import datacatalog
from google.datacatalog_connectors.commons_test import utils
from google.protobuf import timestamp_pb2
from google.datacatalog_connectors import commons
class DataCatalogFacadeTestCase(unittest.TestCase):
__... | 0.512693 | 0.14734 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Dict, List, Mapping, Optional, Tuple, Union
from .. import _utilities, _tables
__all__ = [
'HookAuthArgs',
'HookChannelArgs',
'HookHeaderArgs',
]
@pulumi.input_type
class HookAuthArgs:
def __init__(__self__, *,
... | sdk/python/pulumi_okta/inline/_inputs.py |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Dict, List, Mapping, Optional, Tuple, Union
from .. import _utilities, _tables
__all__ = [
'HookAuthArgs',
'HookChannelArgs',
'HookHeaderArgs',
]
@pulumi.input_type
class HookAuthArgs:
def __init__(__self__, *,
... | 0.881558 | 0.091951 |
import logging
import os
from collections import Counter
from typing import Dict, List, Optional
import click
import mlflow
import numpy as np
import pandas as pd
import torch
from sklearn.metrics import f1_score
from sklearn.model_selection import KFold, StratifiedShuffleSplit
from transformers import (
AutoModel... | src/stonkgs/models/nlp_baseline_model.py | import logging
import os
from collections import Counter
from typing import Dict, List, Optional
import click
import mlflow
import numpy as np
import pandas as pd
import torch
from sklearn.metrics import f1_score
from sklearn.model_selection import KFold, StratifiedShuffleSplit
from transformers import (
AutoModel... | 0.839142 | 0.336195 |
import pytest
from silene.crawl_request import CrawlRequest
from silene.crawler_configuration import CrawlerConfiguration
def test_constructor_should_raise_value_error_when_invalid_domain_in_allowed_domains() -> None:
with pytest.raises(ValueError) as exc_info:
CrawlerConfiguration([], allowed_domains=[... | tests/unit/test_crawler_configuration.py |
import pytest
from silene.crawl_request import CrawlRequest
from silene.crawler_configuration import CrawlerConfiguration
def test_constructor_should_raise_value_error_when_invalid_domain_in_allowed_domains() -> None:
with pytest.raises(ValueError) as exc_info:
CrawlerConfiguration([], allowed_domains=[... | 0.79956 | 0.554229 |
from __future__ import unicode_literals
# To use a consistent encoding
import codecs
from setuptools import setup, find_packages
import sys, os.path
def parse_reqs(req_path="./requirements.txt"):
"""Recursively parse requirements from nested pip files."""
install_requires = []
with codecs.open(req_path, ... | setup.py | from __future__ import unicode_literals
# To use a consistent encoding
import codecs
from setuptools import setup, find_packages
import sys, os.path
def parse_reqs(req_path="./requirements.txt"):
"""Recursively parse requirements from nested pip files."""
install_requires = []
with codecs.open(req_path, ... | 0.481698 | 0.140248 |
from user import User
from credentials import Credentials
def create_user(login_username, password):
'''
Function to create new user
'''
new_user = User(login_username,password)
return new_user
def create_credentials(account_name,account_username, account_password):
'''
Function to create new credentia... | run.py |
from user import User
from credentials import Credentials
def create_user(login_username, password):
'''
Function to create new user
'''
new_user = User(login_username,password)
return new_user
def create_credentials(account_name,account_username, account_password):
'''
Function to create new credentia... | 0.192236 | 0.069954 |
from __future__ import print_function
import os
import cv2
import json
import lmdb
import numpy as np
from matplotlib import pyplot
class USCISI_CMD_API( object ) :
""" Simple API for reading the USCISI CMD dataset
This API simply loads and parses CMD samples from LMDB
# Example:
```python
... | Data/USCISI-CMFD-Small/api.py | from __future__ import print_function
import os
import cv2
import json
import lmdb
import numpy as np
from matplotlib import pyplot
class USCISI_CMD_API( object ) :
""" Simple API for reading the USCISI CMD dataset
This API simply loads and parses CMD samples from LMDB
# Example:
```python
... | 0.759047 | 0.678976 |
from datetime import datetime
from pathlib import PosixPath
from typing import List, Tuple, Any, Optional, Dict
from dateutil.tz import tzutc
from blurr.core.store_key import Key, KeyType
from blurr.runner.spark_runner import SparkRunner, get_spark_session
def execute_runner(stream_bts_file: str,
... | tests/runner/spark_runner_test.py | from datetime import datetime
from pathlib import PosixPath
from typing import List, Tuple, Any, Optional, Dict
from dateutil.tz import tzutc
from blurr.core.store_key import Key, KeyType
from blurr.runner.spark_runner import SparkRunner, get_spark_session
def execute_runner(stream_bts_file: str,
... | 0.743308 | 0.406921 |
import torch.nn.functional as F
from util.util import compute_tensor_iu
def get_new_iou_hook(values, size):
return 'iou/new_iou_%s'%size, values['iou/new_i_%s'%size]/values['iou/new_u_%s'%size]
def get_orig_iou_hook(values):
return 'iou/orig_iou', values['iou/orig_i']/values['iou/orig_u']
def get_iou_gain(v... | util/metrics_compute.py | import torch.nn.functional as F
from util.util import compute_tensor_iu
def get_new_iou_hook(values, size):
return 'iou/new_iou_%s'%size, values['iou/new_i_%s'%size]/values['iou/new_u_%s'%size]
def get_orig_iou_hook(values):
return 'iou/orig_iou', values['iou/orig_i']/values['iou/orig_u']
def get_iou_gain(v... | 0.695855 | 0.342791 |
import logging
class Tiling(object):
def __init__(self, tiles):
logging.debug("Initializing tiling - tiles: %s" % (tiles,))
self.tiles = tiles
self.squares = [sq for tile in tiles for sq in tile]
logging.debug("Initializing tiling - squares: %s" % (self.squares,))
self.min_... | pretty_poly/tiling.py | import logging
class Tiling(object):
def __init__(self, tiles):
logging.debug("Initializing tiling - tiles: %s" % (tiles,))
self.tiles = tiles
self.squares = [sq for tile in tiles for sq in tile]
logging.debug("Initializing tiling - squares: %s" % (self.squares,))
self.min_... | 0.551091 | 0.427695 |
# -----------------------------------------------------------------------------
# Module Import
# -----------------------------------------------------------------------------
import argparse
import atexit
from .serial_ifc import get_serial
# --------------------------------------------------------------------------... | power_counter/capture_cmd.py | # -----------------------------------------------------------------------------
# Module Import
# -----------------------------------------------------------------------------
import argparse
import atexit
from .serial_ifc import get_serial
# --------------------------------------------------------------------------... | 0.568416 | 0.192103 |
from __future__ import division
import numpy as np
import scipy.ndimage as ndi
from sklearn import mixture
def twoPointStencil2D(data, h=1):
"""
Compute two-Pooints stencil on each axis:
f(x+h)-f(x-h) 1Dconvolve([1, 0, -1])
f'(x) = ------------- = ----------------------
... | ILA/code/predictLayout.py | from __future__ import division
import numpy as np
import scipy.ndimage as ndi
from sklearn import mixture
def twoPointStencil2D(data, h=1):
"""
Compute two-Pooints stencil on each axis:
f(x+h)-f(x-h) 1Dconvolve([1, 0, -1])
f'(x) = ------------- = ----------------------
... | 0.696062 | 0.628151 |
import mock
from nova import context as nova_context
from nova import exception
from nova import objects
from nova.scheduler import weights
from nova.tests import fixtures as nova_fixtures
from nova.tests.functional import integrated_helpers
from nova.tests.unit import fake_notifier
from nova.tests.unit.image import ... | nova/tests/functional/test_cross_cell_migrate.py |
import mock
from nova import context as nova_context
from nova import exception
from nova import objects
from nova.scheduler import weights
from nova.tests import fixtures as nova_fixtures
from nova.tests.functional import integrated_helpers
from nova.tests.unit import fake_notifier
from nova.tests.unit.image import ... | 0.630116 | 0.281668 |
class SamplePlayer:
"""
Sample Player class
"""
def __init__(self, xpos, ypos, step, lives, symbol="#"):
"""
Function which inits a Sample Player
:param xpos: X position of the Player
:param ypos: Y position of the Player
:param step: How many steps should the Pla... | clge/plugs/DefaultAssets/sample_player.py | class SamplePlayer:
"""
Sample Player class
"""
def __init__(self, xpos, ypos, step, lives, symbol="#"):
"""
Function which inits a Sample Player
:param xpos: X position of the Player
:param ypos: Y position of the Player
:param step: How many steps should the Pla... | 0.894424 | 0.673128 |
import battle
import jsonobject
import logging
import model
logger = logging.getLogger('kcaa.kcsapi.expedition')
class Expedition(model.KCAAObject):
"""Information about the current expedition."""
fleet_id = jsonobject.JSONProperty('fleet_id', value_type=int)
"""ID of the fleet which is going on exped... | server/kcaa/kcsapi/expedition.py |
import battle
import jsonobject
import logging
import model
logger = logging.getLogger('kcaa.kcsapi.expedition')
class Expedition(model.KCAAObject):
"""Information about the current expedition."""
fleet_id = jsonobject.JSONProperty('fleet_id', value_type=int)
"""ID of the fleet which is going on exped... | 0.591133 | 0.169991 |
import outputters
import inputters
import psucontrol
import time
import yaml
import os, random, shlex, sys
def boot():
display.cls(); display.line(0, "Time machine is"); display.line(1, "starting ..."); time.sleep(1)
display.cls(); display.line(0, "Casostroj startuje"); time.sleep(1)
display.cls(); displa... | timemachine.py | import outputters
import inputters
import psucontrol
import time
import yaml
import os, random, shlex, sys
def boot():
display.cls(); display.line(0, "Time machine is"); display.line(1, "starting ..."); time.sleep(1)
display.cls(); display.line(0, "Casostroj startuje"); time.sleep(1)
display.cls(); displa... | 0.190197 | 0.119923 |
import json
from typing import ClassVar, Dict, Optional
from pydantic import BaseModel, Field
from emulation_system.compose_file_creator.input.hardware_models.hardware_model import (
EmulationLevelNotSupportedError,
HardwareModel,
)
from emulation_system.compose_file_creator.settings.config_file_settings impo... | emulation_system/emulation_system/compose_file_creator/input/hardware_models/modules/module_model.py | import json
from typing import ClassVar, Dict, Optional
from pydantic import BaseModel, Field
from emulation_system.compose_file_creator.input.hardware_models.hardware_model import (
EmulationLevelNotSupportedError,
HardwareModel,
)
from emulation_system.compose_file_creator.settings.config_file_settings impo... | 0.848533 | 0.181444 |
import pytest
from opencadd.structure.pocket import PocketBase
class TestPocketBase:
"""
Test PocketBase class methods.
"""
@pytest.mark.parametrize(
"residue_ids, residue_ixs, residue_ids_formatted, residue_ixs_formatted",
[
([1, 2, 3], None, [1, 2, 3], [None, None, None... | opencadd/tests/structure/test_pocket_base.py | import pytest
from opencadd.structure.pocket import PocketBase
class TestPocketBase:
"""
Test PocketBase class methods.
"""
@pytest.mark.parametrize(
"residue_ids, residue_ixs, residue_ids_formatted, residue_ixs_formatted",
[
([1, 2, 3], None, [1, 2, 3], [None, None, None... | 0.61659 | 0.634741 |
import tensorflow as tf
pi = 3.141592653589793
U = 32768.0
tfand = tf.logical_and
class TutorialBotOutput:
def __init__(self, batch_size):
self.batch_size = batch_size
global zero,zeros3
zero = tf.zeros(self.batch_size, tf.float32)
zeros3 = [zero,zero,zero]
def get_output_ve... | bot_code/models/fake_models/TutorialBot/atba2_demo_output_reg.py | import tensorflow as tf
pi = 3.141592653589793
U = 32768.0
tfand = tf.logical_and
class TutorialBotOutput:
def __init__(self, batch_size):
self.batch_size = batch_size
global zero,zeros3
zero = tf.zeros(self.batch_size, tf.float32)
zeros3 = [zero,zero,zero]
def get_output_ve... | 0.69285 | 0.577674 |
import pygame
pygame.display.init()
pygame.mixer.init()
pygame.font.init()
pygame.mixer.music.load('pong_sound.mp3')
font = pygame.font.SysFont('optimattc', 25, 0, 0)
class Game:
width = 640
height = 400
running = True
movementY = 6
movementX = 6
white = (255, 255, 255, 255)
playerWidth... | pong.py | import pygame
pygame.display.init()
pygame.mixer.init()
pygame.font.init()
pygame.mixer.music.load('pong_sound.mp3')
font = pygame.font.SysFont('optimattc', 25, 0, 0)
class Game:
width = 640
height = 400
running = True
movementY = 6
movementX = 6
white = (255, 255, 255, 255)
playerWidth... | 0.213295 | 0.192255 |
import testtools
from os_apply_config import config_exception
from os_apply_config import value_types
class ValueTypeTestCase(testtools.TestCase):
def test_unknown_type(self):
self.assertRaises(
ValueError, value_types.ensure_type, "foo", "badtype")
def test_int(self):
self.ass... | os_apply_config/tests/test_value_type.py |
import testtools
from os_apply_config import config_exception
from os_apply_config import value_types
class ValueTypeTestCase(testtools.TestCase):
def test_unknown_type(self):
self.assertRaises(
ValueError, value_types.ensure_type, "foo", "badtype")
def test_int(self):
self.ass... | 0.548432 | 0.440289 |
import math
import threading
import time
from bmconfigparser import BMConfigParser
from singleton import Singleton
import state
class Throttle(object):
minChunkSize = 4096
maxChunkSize = 131072
def __init__(self, limit=0):
self.limit = limit
self.speed = 0
self.chunkSize = Throttl... | src/throttle.py | import math
import threading
import time
from bmconfigparser import BMConfigParser
from singleton import Singleton
import state
class Throttle(object):
minChunkSize = 4096
maxChunkSize = 131072
def __init__(self, limit=0):
self.limit = limit
self.speed = 0
self.chunkSize = Throttl... | 0.332527 | 0.096919 |
from abc import ABC, abstractmethod
import copy
from ..PlayerStructs import *
import json
class PlayerDataTrimAlg(ABC):
def __init__(self):
pass
@abstractmethod
def trimmedList(self, pastModelIncs):
pass
# ---------------------- KNNRegression stuff ---------------------------
class AgeSortPlayerDataTrimAlg(... | GIMMECore/AlgDefStructs/PlayerDataTrimAlg.py | from abc import ABC, abstractmethod
import copy
from ..PlayerStructs import *
import json
class PlayerDataTrimAlg(ABC):
def __init__(self):
pass
@abstractmethod
def trimmedList(self, pastModelIncs):
pass
# ---------------------- KNNRegression stuff ---------------------------
class AgeSortPlayerDataTrimAlg(... | 0.390127 | 0.273765 |
from __future__ import unicode_literals
import datetime
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
... | app/migrations/0001_initial.py | from __future__ import unicode_literals
import datetime
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
... | 0.413359 | 0.130258 |
import pygame
class Settings:
""" Una clase para almacenar la configuración de celdaTP """
def __init__(self):
""" Inicializa la configuración del juego """
# Configuración de pantalla
self.screen_width = 960
self.screen_height = 540
self.screen = pygame.display.set_mod... | settings.py | import pygame
class Settings:
""" Una clase para almacenar la configuración de celdaTP """
def __init__(self):
""" Inicializa la configuración del juego """
# Configuración de pantalla
self.screen_width = 960
self.screen_height = 540
self.screen = pygame.display.set_mod... | 0.334155 | 0.178562 |
import json
import numpy as np
from lib.skeleton.skeleton import Skeleton
from lib.dataset.mocap_dataset import MocapDataset
from lib.camera.camera import CameraInfoPacket
h36m_skeleton = Skeleton(parents=[-1, 0, 1, 2, 3, 4, 0, 6, 7, 8, 9, 0, 11, 12, 13, 14, 12,
16, 17, 18, 19, 20, 1... | lib/dataset/h36m_aug_dataset.py |
import json
import numpy as np
from lib.skeleton.skeleton import Skeleton
from lib.dataset.mocap_dataset import MocapDataset
from lib.camera.camera import CameraInfoPacket
h36m_skeleton = Skeleton(parents=[-1, 0, 1, 2, 3, 4, 0, 6, 7, 8, 9, 0, 11, 12, 13, 14, 12,
16, 17, 18, 19, 20, 1... | 0.592667 | 0.204839 |
"""Test cases for style/* checks."""
from test.warnings_test_common import DEFINITION_TYPES
from test.warnings_test_common import FUNCTIONS_SETTING_VARS
from test.warnings_test_common import LinterFailure
from test.warnings_test_common import format_with_args
from test.warnings_test_common import format_with_command
f... | test/test_style_warnings.py | """Test cases for style/* checks."""
from test.warnings_test_common import DEFINITION_TYPES
from test.warnings_test_common import FUNCTIONS_SETTING_VARS
from test.warnings_test_common import LinterFailure
from test.warnings_test_common import format_with_args
from test.warnings_test_common import format_with_command
f... | 0.741393 | 0.479808 |
import traceback
import json
import botutils
from discord.ext import commands
from ._gameplay import Gameplay
from botutils import start_votes_timer
with open('botutils/bot_text.json') as json_file:
language = json.load(json_file)
error_str = language["system"]["error"]
fstart_min = language["errors"]["fstart_mi... | cmd/gameplay/start.py |
import traceback
import json
import botutils
from discord.ext import commands
from ._gameplay import Gameplay
from botutils import start_votes_timer
with open('botutils/bot_text.json') as json_file:
language = json.load(json_file)
error_str = language["system"]["error"]
fstart_min = language["errors"]["fstart_mi... | 0.363082 | 0.075075 |
from __future__ import absolute_import
__version__ = "0.1.1"
from id_card_detector.cv_utils import (read_image,
visualize_prediction,
export_predicted_bboxes,
fit_quads_over_masks,
... | id_card_detector/__init__.py | from __future__ import absolute_import
__version__ = "0.1.1"
from id_card_detector.cv_utils import (read_image,
visualize_prediction,
export_predicted_bboxes,
fit_quads_over_masks,
... | 0.834069 | 0.278576 |
from collections import deque
import copy
drow = [0, -1, -1, 0, 1, 1, 1, 0, -1]
dcol = [0, 0, -1, -1, -1, 0, 1, 1, 1]
def updateTable(table, sharkRow, sharkCol):
smallestFish = float('inf')
fishRow, fishCol = 0, 0
biggestFish = 0
for i in range(4):
for j in range(4):
curFish = ta... | practices/teen_shark.py |
from collections import deque
import copy
drow = [0, -1, -1, 0, 1, 1, 1, 0, -1]
dcol = [0, 0, -1, -1, -1, 0, 1, 1, 1]
def updateTable(table, sharkRow, sharkCol):
smallestFish = float('inf')
fishRow, fishCol = 0, 0
biggestFish = 0
for i in range(4):
for j in range(4):
curFish = ta... | 0.368178 | 0.304843 |
from behave import *
import requests
from django.contrib.auth.models import User
from rest_framework.authtoken.models import Token
use_step_matcher("re")
@given("that I am a unregistered participant of a event")
def step_impl(context):
context.username = "12thMan"
context.password = "<PASSWORD>"
context... | behave_tests/steps/participant_register.py | from behave import *
import requests
from django.contrib.auth.models import User
from rest_framework.authtoken.models import Token
use_step_matcher("re")
@given("that I am a unregistered participant of a event")
def step_impl(context):
context.username = "12thMan"
context.password = "<PASSWORD>"
context... | 0.396886 | 0.21101 |
from dataclasses import dataclass
from typing import Any, Dict, Final, List, Optional
from boto3.dynamodb.conditions import Attr
import boto3
@dataclass(frozen=True)
class User:
user_id: str
name: str
face_ids: List[str]
@classmethod
def parse(cls, data: Dict):
return User(user_id=data['... | amazon_rekognition/user_database.py | from dataclasses import dataclass
from typing import Any, Dict, Final, List, Optional
from boto3.dynamodb.conditions import Attr
import boto3
@dataclass(frozen=True)
class User:
user_id: str
name: str
face_ids: List[str]
@classmethod
def parse(cls, data: Dict):
return User(user_id=data['... | 0.689201 | 0.157396 |
import numpy as np
from math import factorial, sqrt, cos, sin
fact = lambda x: factorial(int(x))
def choose(n, k):
return fact(n)/fact(k)/fact(n-k)
def dmat_entry(j,m_,m,beta):
#real valued. implemented according to wikipedia
partA = sqrt(fact(j+m_)*fact(j-m_)*fact(j+m)*fact(j-m))
partB = 0.
for s ... | utils/WignerD.py | import numpy as np
from math import factorial, sqrt, cos, sin
fact = lambda x: factorial(int(x))
def choose(n, k):
return fact(n)/fact(k)/fact(n-k)
def dmat_entry(j,m_,m,beta):
#real valued. implemented according to wikipedia
partA = sqrt(fact(j+m_)*fact(j-m_)*fact(j+m)*fact(j-m))
partB = 0.
for s ... | 0.211417 | 0.55923 |
from django import forms
from .models import Category
from .models import Location
from .models import Organization
'''
Forms for the landing page dropdowns.
The category dropdown is a choice field
which displays all categories in the queryset.
It also excludes the empty string and . characters
from categories since... | volDB/forms.py | from django import forms
from .models import Category
from .models import Location
from .models import Organization
'''
Forms for the landing page dropdowns.
The category dropdown is a choice field
which displays all categories in the queryset.
It also excludes the empty string and . characters
from categories since... | 0.552057 | 0.117876 |
# Copyright 2020-2021 Blue Brain Project / EPFL
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicab... | cord19kg/apps/resources.py |
# Copyright 2020-2021 Blue Brain Project / EPFL
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicab... | 0.821367 | 0.415136 |
from sqlalchemy import Column, Float, String, Integer, ForeignKey, create_engine, inspect
from sqlalchemy.engine import Engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import relationship, sessionmaker
from utils.constants import WEBTEXT_DB
Base = declarative_base()
Session = sessio... | utils/db.py | from sqlalchemy import Column, Float, String, Integer, ForeignKey, create_engine, inspect
from sqlalchemy.engine import Engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import relationship, sessionmaker
from utils.constants import WEBTEXT_DB
Base = declarative_base()
Session = sessio... | 0.663887 | 0.217732 |
from __future__ import print_function
from __future__ import unicode_literals
import time
import sys
import os
import shutil
import csv
import boto3
import pyspark
import zipfile
import tarfile
from time import gmtime, strftime
from awsglue.utils import getResolvedOptions
import mleap.pyspark
from pyspark.sql import... | 02_data_exploration_and_feature_eng/endtoendml_etl.py | from __future__ import print_function
from __future__ import unicode_literals
import time
import sys
import os
import shutil
import csv
import boto3
import pyspark
import zipfile
import tarfile
from time import gmtime, strftime
from awsglue.utils import getResolvedOptions
import mleap.pyspark
from pyspark.sql import... | 0.451327 | 0.225811 |
import asyncio
import copy
import contextlib
import time
import os
import random
import re
import json
import logging
import tempfile
import uuid
from xml.etree import ElementTree as et
import aiohttp
from aiohttp import web
from rallyci import utils
from rallyci.common import asyncssh
LOG = logging.getLogger(__nam... | rallyci/providers/virsh.py |
import asyncio
import copy
import contextlib
import time
import os
import random
import re
import json
import logging
import tempfile
import uuid
from xml.etree import ElementTree as et
import aiohttp
from aiohttp import web
from rallyci import utils
from rallyci.common import asyncssh
LOG = logging.getLogger(__nam... | 0.283583 | 0.101947 |
import json
from hashlib import sha1
from hmac import HMAC
import redis
from redis_benchmarks_specification.__api__.app import (
create_app,
SIG_HEADER,
should_action,
)
from redis_benchmarks_specification.__common__.env import (
STREAM_KEYNAME_GH_EVENTS_COMMIT,
)
def test_create_app():
try:
... | utils/tests/test_app.py | import json
from hashlib import sha1
from hmac import HMAC
import redis
from redis_benchmarks_specification.__api__.app import (
create_app,
SIG_HEADER,
should_action,
)
from redis_benchmarks_specification.__common__.env import (
STREAM_KEYNAME_GH_EVENTS_COMMIT,
)
def test_create_app():
try:
... | 0.395484 | 0.190065 |
from __future__ import annotations
import argparse
import json
import os
import re
from typing import List, Tuple, Sequence, Dict, Iterator, Optional
import boto3
import requests # type: ignore
import yaml # type: ignore
REGION = "us-east-1"
ORG_NAME = "<NAME>"
R53_STACK_NAME = "nextflow-r53-alias-record"
R53_STA... | bin/configure-tower-projects.py |
from __future__ import annotations
import argparse
import json
import os
import re
from typing import List, Tuple, Sequence, Dict, Iterator, Optional
import boto3
import requests # type: ignore
import yaml # type: ignore
REGION = "us-east-1"
ORG_NAME = "<NAME>"
R53_STACK_NAME = "nextflow-r53-alias-record"
R53_STA... | 0.792464 | 0.182025 |
llimport streamlit as st
import pickle
st.sidebar.image("img.jpg",use_column_width=True)
st.sidebar.title("FAKE NEWS AI")
st.header("Fake news Classification".upper())
st.empty()
option2 = st.sidebar.checkbox("creator info")
if option2:
st.info("### project by <NAME>")
st.info("KIET, MCA")
option... | app.py | llimport streamlit as st
import pickle
st.sidebar.image("img.jpg",use_column_width=True)
st.sidebar.title("FAKE NEWS AI")
st.header("Fake news Classification".upper())
st.empty()
option2 = st.sidebar.checkbox("creator info")
if option2:
st.info("### project by <NAME>")
st.info("KIET, MCA")
option... | 0.234056 | 0.196209 |
import matplotlib.pyplot as plt
import sys
import os
import json
import numpy as np
import matplotlib.patches as mpatches
import math
import matplotlib.ticker as ticker
from plot_utility import plot_figure
from plot_utility import plot_stars_figure
from plot_utility import get_Xcent_node
from plot_utility import get_X... | sim/script/plot_single.py | import matplotlib.pyplot as plt
import sys
import os
import json
import numpy as np
import matplotlib.patches as mpatches
import math
import matplotlib.ticker as ticker
from plot_utility import plot_figure
from plot_utility import plot_stars_figure
from plot_utility import get_Xcent_node
from plot_utility import get_X... | 0.177454 | 0.269214 |
import json
import argparse
from pathlib import Path
def get_parser():
parser = argparse.ArgumentParser()
parser.add_argument('--data_dir', default="/deep/group/xray4all")
parser.add_argument('--experiment_dir', default=None)
parser.add_argument('--old_final', action="store_true")
parser.add_arg... | scripts/write_configs.py | import json
import argparse
from pathlib import Path
def get_parser():
parser = argparse.ArgumentParser()
parser.add_argument('--data_dir', default="/deep/group/xray4all")
parser.add_argument('--experiment_dir', default=None)
parser.add_argument('--old_final', action="store_true")
parser.add_arg... | 0.271638 | 0.159446 |
from djinni.support import MultiSet # default imported in all files
from djinni.exception import CPyException # default imported in all files
from djinni.pycffi_marshal import CPyBoxedBool, CPyBoxedF32, CPyBoxedF64, CPyBoxedI16, CPyBoxedI32, CPyBoxedI64, CPyBoxedI8, CPyPrimitive, CPyRecord, CPyString
from constant_re... | test-suite/generated-src/python/constants.py |
from djinni.support import MultiSet # default imported in all files
from djinni.exception import CPyException # default imported in all files
from djinni.pycffi_marshal import CPyBoxedBool, CPyBoxedF32, CPyBoxedF64, CPyBoxedI16, CPyBoxedI32, CPyBoxedI64, CPyBoxedI8, CPyPrimitive, CPyRecord, CPyString
from constant_re... | 0.547464 | 0.085251 |
import matplotlib.pyplot as plt
# Measurements from happy-path.data
expt = [
('HotStuff',[
(14.917,11.54),
(41.649,12.6),
(62.075,14.15),
(94.362,18.69),
(112.436,23.72),
(124.599,28.59),
(129.521,33.79),
(135.073,39.175),
(140.052,48.7),
... | plot/happy-path/happy-path.py | import matplotlib.pyplot as plt
# Measurements from happy-path.data
expt = [
('HotStuff',[
(14.917,11.54),
(41.649,12.6),
(62.075,14.15),
(94.362,18.69),
(112.436,23.72),
(124.599,28.59),
(129.521,33.79),
(135.073,39.175),
(140.052,48.7),
... | 0.280616 | 0.445228 |