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 os
import sys
import time
import torch
import threading
import numpy as np
from pynput import keyboard
from pytorchrl.agent.env import VecEnv
from pytorchrl.envs.obstacle_tower.utils import action_lookup_6, action_lookup_7, action_lookup_8
from pytorchrl.envs.obstacle_tower.obstacle_tower_env_factory import obs... | code_examples/train_obstacle_tower/ppod/record_demo.py | import os
import sys
import time
import torch
import threading
import numpy as np
from pynput import keyboard
from pytorchrl.agent.env import VecEnv
from pytorchrl.envs.obstacle_tower.utils import action_lookup_6, action_lookup_7, action_lookup_8
from pytorchrl.envs.obstacle_tower.obstacle_tower_env_factory import obs... | 0.271928 | 0.262673 |
import django.db.models.deletion
from django.core.management import call_command
from django.db import migrations, models, DEFAULT_DB_ALIAS, connections
from django.db.migrations.recorder import MigrationRecorder
def check_migrations(apps, schema_editor):
# Get the internal django migration model
Migrations =... | src/bilbyui/migrations/0001_initial.py | import django.db.models.deletion
from django.core.management import call_command
from django.db import migrations, models, DEFAULT_DB_ALIAS, connections
from django.db.migrations.recorder import MigrationRecorder
def check_migrations(apps, schema_editor):
# Get the internal django migration model
Migrations =... | 0.416797 | 0.175962 |
from collections import defaultdict
from typing import Any, Callable
def part1(input: list[tuple[list, list]]) -> int:
counts = defaultdict(int)
for _, output in input:
for o in output:
counts[len(o)] += 1
return sum(counts[p] for p in [2, 4, 3, 7])
def find(iter: list[Any], pred: Ca... | src/day8/main.py | from collections import defaultdict
from typing import Any, Callable
def part1(input: list[tuple[list, list]]) -> int:
counts = defaultdict(int)
for _, output in input:
for o in output:
counts[len(o)] += 1
return sum(counts[p] for p in [2, 4, 3, 7])
def find(iter: list[Any], pred: Ca... | 0.823541 | 0.584745 |
from __future__ import unicode_literals
from django.db import models, migrations
from django.conf import settings
class Migration(migrations.Migration):
dependencies = [
('managers', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='manager',
name... | managers/migrations/0002_auto_20140801_1108.py | from __future__ import unicode_literals
from django.db import models, migrations
from django.conf import settings
class Migration(migrations.Migration):
dependencies = [
('managers', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='manager',
name... | 0.712032 | 0.118691 |
from retrying import retry
from django.utils import timezone
from django.db import transaction
from data_refinery_common.utils import get_worker_id
from data_refinery_common.models import (
Batch,
BatchStatuses,
DownloaderJob,
ProcessorJob
)
from data_refinery_workers._version import __version__
from da... | workers/data_refinery_workers/downloaders/utils.py | from retrying import retry
from django.utils import timezone
from django.db import transaction
from data_refinery_common.utils import get_worker_id
from data_refinery_common.models import (
Batch,
BatchStatuses,
DownloaderJob,
ProcessorJob
)
from data_refinery_workers._version import __version__
from da... | 0.521959 | 0.158793 |
import torch
from torch.nn import CrossEntropyLoss
from transformers import *
import numpy as np
import math
# OPTIONAL: if you want to have more information on what's happening, activate the logger as follows
import logging
import os
import sys
logging.basicConfig(level=logging.INFO)
os.environ["CUDA_VISIBLE_DEVICES"... | post-process/making_sense.py |
import torch
from torch.nn import CrossEntropyLoss
from transformers import *
import numpy as np
import math
# OPTIONAL: if you want to have more information on what's happening, activate the logger as follows
import logging
import os
import sys
logging.basicConfig(level=logging.INFO)
os.environ["CUDA_VISIBLE_DEVICES"... | 0.483892 | 0.40028 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from six import PY3
from six.moves.http_cookies import CookieError, SimpleCookie
from .mapping import CaseInsensitiveMapping
def _check_for_CRLF(value):
"""CRLF in... | pando/http/baseheaders.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from six import PY3
from six.moves.http_cookies import CookieError, SimpleCookie
from .mapping import CaseInsensitiveMapping
def _check_for_CRLF(value):
"""CRLF in... | 0.714827 | 0.183813 |
import random
import string
class BaseExpression(object):
"""The base class for all expressions.
Expressions are objects that are generated by datatypes that are used in requests -
querying, filtering, updating etc.
Attributes:
expression: a string representing to define the type of expressio... | cerami/datatype/expression/base_expression.py | import random
import string
class BaseExpression(object):
"""The base class for all expressions.
Expressions are objects that are generated by datatypes that are used in requests -
querying, filtering, updating etc.
Attributes:
expression: a string representing to define the type of expressio... | 0.840324 | 0.629219 |
from CvPythonExtensions import *
import CvUtil
import ScreenInput
import CvScreenEnums
import string
import CvScreensInterface
# globals
gc = CyGlobalContext()
ArtFileMgr = CyArtFileMgr()
localText = CyTranslator()
class CvCivicsScreen:
"Civics Screen"
def __init__(self):
self.SCREEN_NAME = "CivicsScreen"
self... | Civ4 Deluxe/Assets/Python/Screens/CvCivicsScreen.py | from CvPythonExtensions import *
import CvUtil
import ScreenInput
import CvScreenEnums
import string
import CvScreensInterface
# globals
gc = CyGlobalContext()
ArtFileMgr = CyArtFileMgr()
localText = CyTranslator()
class CvCivicsScreen:
"Civics Screen"
def __init__(self):
self.SCREEN_NAME = "CivicsScreen"
self... | 0.261519 | 0.07946 |
import time
import consts
import random
import logging
import requests
import threading
logger = logging.getLogger(__name__)
class Waiters:
def __init__(self, dh, i):
self.name = f'{dh.name} Waiter-{i}'
self.dh = dh
self.id = i
self.TIME_UNIT = 1
self.initial = True
d... | dinning-hall/domain/Waiters.py | import time
import consts
import random
import logging
import requests
import threading
logger = logging.getLogger(__name__)
class Waiters:
def __init__(self, dh, i):
self.name = f'{dh.name} Waiter-{i}'
self.dh = dh
self.id = i
self.TIME_UNIT = 1
self.initial = True
d... | 0.366703 | 0.12921 |
import logging
import json
import os.path
import argparse
# Settings
import sys
import time
CUR_DIR = os.getcwd()
CONF_DIR = CUR_DIR
STORE_DIR = os.path.join(os.path.abspath(os.path.join(CUR_DIR, os.pardir)), 'store')
CONF_TEMP = "conf_"
STORE_TEMP = "stored_"
STORED_TEMP = CONF_TEMP + STORE_TEMP
# Parser
def creat... | data/OUTDATED_main.py | import logging
import json
import os.path
import argparse
# Settings
import sys
import time
CUR_DIR = os.getcwd()
CONF_DIR = CUR_DIR
STORE_DIR = os.path.join(os.path.abspath(os.path.join(CUR_DIR, os.pardir)), 'store')
CONF_TEMP = "conf_"
STORE_TEMP = "stored_"
STORED_TEMP = CONF_TEMP + STORE_TEMP
# Parser
def creat... | 0.243463 | 0.100392 |
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('home', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='BibliotikFulltext',
fields=[
('id', models.AutoField(verbose_name='ID', seria... | bibliotik/migrations/0001_initial.py |
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('home', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='BibliotikFulltext',
fields=[
('id', models.AutoField(verbose_name='ID', seria... | 0.622918 | 0.18228 |
from recipe_scrapers.panelinha import Panelinha
from tests import ScraperTest
class TestPanelinhaScraper(ScraperTest):
scraper_class = Panelinha
def test_host(self):
self.assertEqual("panelinha.com.br", self.harvester_class.host())
def test_title(self):
self.assertEqual(self.harvester_c... | tests/test_panelinha.py | from recipe_scrapers.panelinha import Panelinha
from tests import ScraperTest
class TestPanelinhaScraper(ScraperTest):
scraper_class = Panelinha
def test_host(self):
self.assertEqual("panelinha.com.br", self.harvester_class.host())
def test_title(self):
self.assertEqual(self.harvester_c... | 0.567218 | 0.47725 |
# Imports
# ---------------------------------
import argparse
import json
import os
import re
import string
import sys
import time
import urllib
from shutil import copyfile
from urllib import request
# Main entry point
# ---------------------------------
# Introduce yourself
print("Medium export image fill 1.01")
... | medium-export-image-fill.py | # Imports
# ---------------------------------
import argparse
import json
import os
import re
import string
import sys
import time
import urllib
from shutil import copyfile
from urllib import request
# Main entry point
# ---------------------------------
# Introduce yourself
print("Medium export image fill 1.01")
... | 0.191554 | 0.114939 |
import csv
import time
import utils
import yaml
from contextlib import contextmanager
from exc import UnknownFieldFunctionError
from fields import field_function
from fields.reading import image_metadata_field
from fields.reading import metadata_field
from log import logging
from meter import Meter
logger = logging.... | usage/report.py | import csv
import time
import utils
import yaml
from contextlib import contextmanager
from exc import UnknownFieldFunctionError
from fields import field_function
from fields.reading import image_metadata_field
from fields.reading import metadata_field
from log import logging
from meter import Meter
logger = logging.... | 0.636014 | 0.15925 |
"""Common utilities for the Google Ads API client library."""
import functools
import re
# This regex matches characters preceded by start of line or an underscore.
_RE_FIND_CHARS_TO_UPPERCASE = re.compile(r'(?:_|^)([a-z])')
class ResourceName:
# As of Google Ads API v1 composite resource names are
# delim... | google/ads/google_ads/util.py | """Common utilities for the Google Ads API client library."""
import functools
import re
# This regex matches characters preceded by start of line or an underscore.
_RE_FIND_CHARS_TO_UPPERCASE = re.compile(r'(?:_|^)([a-z])')
class ResourceName:
# As of Google Ads API v1 composite resource names are
# delim... | 0.935405 | 0.277271 |
import numpy as np
from utils import ilogit, cols_as_np
def marginal_log_likelihood(y, mu, Sigma, a, b, c, lam_gridsize=100, prior_samples=1000000):
print('Marginal log likelihood via (naive) prior sampling strategy with {} prior samples'.format(prior_samples))
# Use a grid approximation for lambda integral
... | python/prior_predictive_check_missing.py | import numpy as np
from utils import ilogit, cols_as_np
def marginal_log_likelihood(y, mu, Sigma, a, b, c, lam_gridsize=100, prior_samples=1000000):
print('Marginal log likelihood via (naive) prior sampling strategy with {} prior samples'.format(prior_samples))
# Use a grid approximation for lambda integral
... | 0.736306 | 0.401043 |
from itertools import islice, zip_longest
def degree(coeffs):
"""highest power among monomials with non-zero coefficient; zero polynomial has degree -1"""
deg = len(coeffs) - 1
for c in reversed(coeffs):
if c != 0: break
deg -= 1
return deg
def normalize(coeffs):
"""return input with (zero) coefficients of... | src/univar_polyops.py | from itertools import islice, zip_longest
def degree(coeffs):
"""highest power among monomials with non-zero coefficient; zero polynomial has degree -1"""
deg = len(coeffs) - 1
for c in reversed(coeffs):
if c != 0: break
deg -= 1
return deg
def normalize(coeffs):
"""return input with (zero) coefficients of... | 0.361616 | 0.654729 |
import datetime
import pandas as pd
import csv
import urllib.request
import io
FORECAST_DATE = datetime.datetime.today()
FIRST_WEEK = FORECAST_DATE + datetime.timedelta(5)
INPUT_FILENAME_STATE = "us_deaths_current_0.csv"
INPUT_FILENAME_GLOBAL = "global_deaths_current_0.csv"
OUTPUT_FILENAME = FORECAST_DATE.strftime("%Y... | results/format-covid-forecast/format_data_state_death.py | import datetime
import pandas as pd
import csv
import urllib.request
import io
FORECAST_DATE = datetime.datetime.today()
FIRST_WEEK = FORECAST_DATE + datetime.timedelta(5)
INPUT_FILENAME_STATE = "us_deaths_current_0.csv"
INPUT_FILENAME_GLOBAL = "global_deaths_current_0.csv"
OUTPUT_FILENAME = FORECAST_DATE.strftime("%Y... | 0.427277 | 0.259286 |
import requests
import json
from mslib.mscolab.conf import mscolab_settings
from mslib.mscolab import file_manager
from mslib.mscolab.models import User, Project
from mslib.mscolab.server import db, APP
from mslib.mscolab.mscolab import handle_db_seed
from mslib._tests.constants import MSCOLAB_URL_TEST
class Test_Fil... | mslib/mscolab/_tests/test_file_manager.py | import requests
import json
from mslib.mscolab.conf import mscolab_settings
from mslib.mscolab import file_manager
from mslib.mscolab.models import User, Project
from mslib.mscolab.server import db, APP
from mslib.mscolab.mscolab import handle_db_seed
from mslib._tests.constants import MSCOLAB_URL_TEST
class Test_Fil... | 0.244003 | 0.234862 |
import numpy as np
import matplotlib.pyplot as plt
import bound_methods
from numpy import nan, inf
#plot results for experiment7_1
#rewards are feasible in that all start states end up at goal within 25 steps
sample_flag = 4
chain_length = 10000
step = 0.01
alpha = 100
size = 9
num_reps = 20
rolloutLength = 100
numDe... | scripts/generateDemoSufficiencyPlot.py | import numpy as np
import matplotlib.pyplot as plt
import bound_methods
from numpy import nan, inf
#plot results for experiment7_1
#rewards are feasible in that all start states end up at goal within 25 steps
sample_flag = 4
chain_length = 10000
step = 0.01
alpha = 100
size = 9
num_reps = 20
rolloutLength = 100
numDe... | 0.144994 | 0.67642 |
import logging
import json
import pymongo
from . import interfaces
from . import exceptions
from . import domain
LOGGER = logging.getLogger(__name__)
class MongoDB:
"""Abstrai a configuração do MongoDB de maneira que nenhum outro objeto do
código necessita conhecer detalhes de conexão, nome do banco de d... | documentstore/adapters.py | import logging
import json
import pymongo
from . import interfaces
from . import exceptions
from . import domain
LOGGER = logging.getLogger(__name__)
class MongoDB:
"""Abstrai a configuração do MongoDB de maneira que nenhum outro objeto do
código necessita conhecer detalhes de conexão, nome do banco de d... | 0.660939 | 0.192065 |
from FileVersion.versioned_file import VersionedFile
from serialize_deserialize import serialize, deserialize
import mysite.settings as settings
import CommonUtil.util as ut
from CommonUtil.prune_nulls import pruneNulls
import cell_types
import collections
import numpy as np
import os
def readObjectFromFile(filepat... | mysite/scisheets/core/helpers/api_util.py |
from FileVersion.versioned_file import VersionedFile
from serialize_deserialize import serialize, deserialize
import mysite.settings as settings
import CommonUtil.util as ut
from CommonUtil.prune_nulls import pruneNulls
import cell_types
import collections
import numpy as np
import os
def readObjectFromFile(filepat... | 0.408159 | 0.214815 |
from typing import Any, List, Optional
import numpy as np
from cirq.circuits.circuit import Circuit
from cirq.devices import LineQubit
from cirq.ops import common_gates
from cirq.ops.dense_pauli_string import DensePauliString
from cirq import protocols
from cirq.sim import act_on_state_vector_args, final_state_vecto... | cirq/testing/consistent_act_on.py |
from typing import Any, List, Optional
import numpy as np
from cirq.circuits.circuit import Circuit
from cirq.devices import LineQubit
from cirq.ops import common_gates
from cirq.ops.dense_pauli_string import DensePauliString
from cirq import protocols
from cirq.sim import act_on_state_vector_args, final_state_vecto... | 0.923996 | 0.520435 |
from __future__ import annotations
import csv
from datetime import datetime
from decimal import Decimal
from pathlib import Path
from typing import Final
from cgt_calc.exceptions import ParsingError, UnexpectedColumnCountError
from cgt_calc.model import ActionType, BrokerTransaction
COLUMNS: Final[list[str]] = [
... | cgt_calc/parsers/trading212.py | from __future__ import annotations
import csv
from datetime import datetime
from decimal import Decimal
from pathlib import Path
from typing import Final
from cgt_calc.exceptions import ParsingError, UnexpectedColumnCountError
from cgt_calc.model import ActionType, BrokerTransaction
COLUMNS: Final[list[str]] = [
... | 0.868367 | 0.318207 |
# METADATA
__author__ = "<NAME>, <NAME>"
__credits__ = ["<NAME>", "<NAME>"]
__version__ = "1.0.0"
__email__ = "<EMAIL>"
# PACKAGES
# Basic system routines packages
import os, sys
# Others
import numpy as np
import javabridge
import bioformats
from matplotlib import pyplot as plt
from PyQt5.QtWidgets import QApplic... | Tools/LIFTransformationUtils.py |
# METADATA
__author__ = "<NAME>, <NAME>"
__credits__ = ["<NAME>", "<NAME>"]
__version__ = "1.0.0"
__email__ = "<EMAIL>"
# PACKAGES
# Basic system routines packages
import os, sys
# Others
import numpy as np
import javabridge
import bioformats
from matplotlib import pyplot as plt
from PyQt5.QtWidgets import QApplic... | 0.168788 | 0.101056 |
import logging
import os
import string
import requests
import json
import base64
from abc import ABC
from typing import Optional, List
from dataclasses import dataclass
from wca.config import assure_type, Numeric, ValidationError
from wca.security import SSL
log = logging.getLogger(__name__)
class InvalidKey(Exce... | wca/databases.py | import logging
import os
import string
import requests
import json
import base64
from abc import ABC
from typing import Optional, List
from dataclasses import dataclass
from wca.config import assure_type, Numeric, ValidationError
from wca.security import SSL
log = logging.getLogger(__name__)
class InvalidKey(Exce... | 0.757705 | 0.148201 |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import torch
import torch.nn as nn
from ss_baselines.common.utils import ResizeCenterCropper
from ss_baselines.savi.models... | ss_baselines/savi/models/smt_cnn.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import torch
import torch.nn as nn
from ss_baselines.common.utils import ResizeCenterCropper
from ss_baselines.savi.models... | 0.949576 | 0.62541 |
from __future__ import unicode_literals
import autoslug.fields
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
import model_utils.fields
import mptt.fields
import tinymce.models
class Migration(migrations.Migration):
initial... | watchdog_kj_kultura/staticpages/migrations/0001_initial.py | from __future__ import unicode_literals
import autoslug.fields
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
import model_utils.fields
import mptt.fields
import tinymce.models
class Migration(migrations.Migration):
initial... | 0.496338 | 0.134548 |
import unittest
import dag_loader
import workflow
class DagLoaderTest(unittest.TestCase):
def setUp(self):
super(DagLoaderTest, self).setUp()
pass
def tearDown(self):
super(DagLoaderTest, self).tearDown()
pass
def test_should_load_files_definitions(self):
dag_con... | scripts/validation/dag_loader_test.py | import unittest
import dag_loader
import workflow
class DagLoaderTest(unittest.TestCase):
def setUp(self):
super(DagLoaderTest, self).setUp()
pass
def tearDown(self):
super(DagLoaderTest, self).tearDown()
pass
def test_should_load_files_definitions(self):
dag_con... | 0.40028 | 0.54825 |
import pathlib
import typing
from typing import Type
import numpy as np
from flytekit.core.context_manager import FlyteContext
from flytekit.core.type_engine import TypeEngine, TypeTransformer, TypeTransformerFailedError
from flytekit.models.core import types as _core_types
from flytekit.models.literals import Blob, ... | flytekit/types/numpy/ndarray.py | import pathlib
import typing
from typing import Type
import numpy as np
from flytekit.core.context_manager import FlyteContext
from flytekit.core.type_engine import TypeEngine, TypeTransformer, TypeTransformerFailedError
from flytekit.models.core import types as _core_types
from flytekit.models.literals import Blob, ... | 0.802052 | 0.325675 |
from kivy.config import Config
Config.set('input', 'mouse', 'mouse,multitouch_on_demand')
from kivy.app import App
from kivy.uix.gridlayout import GridLayout
from kivy.uix.popup import Popup
from kivy.uix.label import Label
import matplotlib.pyplot as plt
import pandas as pd
from multiprocessing import Process
class ... | main.py | from kivy.config import Config
Config.set('input', 'mouse', 'mouse,multitouch_on_demand')
from kivy.app import App
from kivy.uix.gridlayout import GridLayout
from kivy.uix.popup import Popup
from kivy.uix.label import Label
import matplotlib.pyplot as plt
import pandas as pd
from multiprocessing import Process
class ... | 0.609292 | 0.262605 |
import numpy as np
from . import _nonlinear_ld
from . import _quadratic_ld
from . import _uniform_ld
from . import _logarithmic_ld
from . import _exponential_ld
from . import _power2_ld
from . import _custom_ld
from . import _rsky
from . import _eclipse
from math import pi
import multiprocessing
from . import openmp
... | source/batman-package-2.4.6/batman/transitmodel.py |
import numpy as np
from . import _nonlinear_ld
from . import _quadratic_ld
from . import _uniform_ld
from . import _logarithmic_ld
from . import _exponential_ld
from . import _power2_ld
from . import _custom_ld
from . import _rsky
from . import _eclipse
from math import pi
import multiprocessing
from . import openmp
... | 0.713831 | 0.406803 |
from pathlib import Path
import numpy as np
import probeinterface as pi
from .neobaseextractor import (NeoBaseRecordingExtractor,
NeoBaseSortingExtractor,
NeoBaseEventExtractor)
class OpenEphysLegacyRecordingExtractor(NeoBaseRecordingExtractor):
"""... | spikeinterface/extractors/neoextractors/openephys.py | from pathlib import Path
import numpy as np
import probeinterface as pi
from .neobaseextractor import (NeoBaseRecordingExtractor,
NeoBaseSortingExtractor,
NeoBaseEventExtractor)
class OpenEphysLegacyRecordingExtractor(NeoBaseRecordingExtractor):
"""... | 0.830903 | 0.180179 |
import asyncio
import binascii
import logging
import os
from typing import Tuple
logger = logging.getLogger(__name__)
class BaseDatagramProtocol(asyncio.DatagramProtocol):
""" Datagram protocol for an endpoint. """
def __init__(
self,
on_message=None,
on_peer_available=None,
... | src/gestalt/datagram/protocols/base.py | import asyncio
import binascii
import logging
import os
from typing import Tuple
logger = logging.getLogger(__name__)
class BaseDatagramProtocol(asyncio.DatagramProtocol):
""" Datagram protocol for an endpoint. """
def __init__(
self,
on_message=None,
on_peer_available=None,
... | 0.845974 | 0.126246 |
from cms.api import add_plugin, create_page, publish_page
from django.contrib.auth.models import User
from django.test import TestCase
from django.test.client import Client
from django.test.utils import override_settings
def _setup_testing_env(self):
# create a User
self.testuser = User.objects.create_superus... | cmsplugin_nvd3/tests/tests.py | from cms.api import add_plugin, create_page, publish_page
from django.contrib.auth.models import User
from django.test import TestCase
from django.test.client import Client
from django.test.utils import override_settings
def _setup_testing_env(self):
# create a User
self.testuser = User.objects.create_superus... | 0.655667 | 0.300373 |
"""Test the AWSReportDBCleaner utility object."""
import datetime
import uuid
import django
import pytz
from dateutil import relativedelta
from django.db import transaction
from tenant_schemas.utils import schema_context
from api.provider.models import Provider
from masu.database import AWS_CUR_TABLE_MAP
from masu.da... | koku/masu/test/processor/aws/test_aws_report_db_cleaner.py | """Test the AWSReportDBCleaner utility object."""
import datetime
import uuid
import django
import pytz
from dateutil import relativedelta
from django.db import transaction
from tenant_schemas.utils import schema_context
from api.provider.models import Provider
from masu.database import AWS_CUR_TABLE_MAP
from masu.da... | 0.730963 | 0.314814 |
class BinaryTree():
"""
Binary Tree class.
ATTRIBUTES
==========
data: int
the key value
left: BinaryTree
the left child BT
right: BinaryTree
the right child BT
METHODS
=======
insert(Data):
PARAMETERS
==========
dat... | dsapy/BinaryTree.py | class BinaryTree():
"""
Binary Tree class.
ATTRIBUTES
==========
data: int
the key value
left: BinaryTree
the left child BT
right: BinaryTree
the right child BT
METHODS
=======
insert(Data):
PARAMETERS
==========
dat... | 0.796886 | 0.444143 |
class ValidChainCodeMethods():
"""
Valid chain code methods has all fabric chain code names
and their API names it supports along with their arguments
"""
def __init__(self):
self._cc_methods = {
"order": {
"workOrderSubmit": {
"callparams":... | sdk/avalon_sdk/connector/blockchains/fabric/chaincode_methods.py |
class ValidChainCodeMethods():
"""
Valid chain code methods has all fabric chain code names
and their API names it supports along with their arguments
"""
def __init__(self):
self._cc_methods = {
"order": {
"workOrderSubmit": {
"callparams":... | 0.547222 | 0.476701 |
from marshmallow import Schema, fields, post_load
from ebl.corpus.application.id_schemas import ChapterIdSchema
from ebl.corpus.domain.chapter_display import ChapterDisplay, LineDisplay
from ebl.transliteration.application.line_number_schemas import OneOfLineNumberSchema
from ebl.transliteration.application.note_line_... | ebl/corpus/application/display_schemas.py | from marshmallow import Schema, fields, post_load
from ebl.corpus.application.id_schemas import ChapterIdSchema
from ebl.corpus.domain.chapter_display import ChapterDisplay, LineDisplay
from ebl.transliteration.application.line_number_schemas import OneOfLineNumberSchema
from ebl.transliteration.application.note_line_... | 0.655777 | 0.24565 |
from django.db import models
from django.contrib.auth.models import User
import uuid
from cloudinary.models import CloudinaryField
from django.db.models.signals import post_save, post_delete
from django.utils.text import slugify
from django.urls import reverse
from notifications.models import Notification
# Create yo... | post/models.py | from django.db import models
from django.contrib.auth.models import User
import uuid
from cloudinary.models import CloudinaryField
from django.db.models.signals import post_save, post_delete
from django.utils.text import slugify
from django.urls import reverse
from notifications.models import Notification
# Create yo... | 0.580709 | 0.109515 |
import codecs
import datetime
import logging
from model import Classroom, Cycle, format_to_addresses, Response, Team, User
from unit_test_helper import ConsistencyTestCase
import cycle_emailers
email_counter = 1
def save_email(email):
global email_counter
path = 'copilot_email_{}.html'.format(email_counter)... | unit_testing/test_emails.py |
import codecs
import datetime
import logging
from model import Classroom, Cycle, format_to_addresses, Response, Team, User
from unit_test_helper import ConsistencyTestCase
import cycle_emailers
email_counter = 1
def save_email(email):
global email_counter
path = 'copilot_email_{}.html'.format(email_counter)... | 0.380183 | 0.181499 |
import glob
import logging
import os
import re
from functools import partial
from comet_ml import Experiment
import torch
from torch.utils.data import random_split
from transformers import BlenderbotTokenizer, BlenderbotForConditionalGeneration
import ray
from ray.tune import CLIReporter
from ray.tune.schedulers impor... | core/core.py | import glob
import logging
import os
import re
from functools import partial
from comet_ml import Experiment
import torch
from torch.utils.data import random_split
from transformers import BlenderbotTokenizer, BlenderbotForConditionalGeneration
import ray
from ray.tune import CLIReporter
from ray.tune.schedulers impor... | 0.503662 | 0.089375 |
import functools
from typing import Union, Generator, Tuple, Any, Callable, List
from datetime import datetime, date, time
from decimal import Decimal
from sqlalchemy import Column
from sqlalchemy.orm import Query, CompositeProperty
from sqlalchemy.orm.attributes import InstrumentedAttribute
from sqlalchemy.orm.rela... | sqlalchemy_dict/base_model.py | import functools
from typing import Union, Generator, Tuple, Any, Callable, List
from datetime import datetime, date, time
from decimal import Decimal
from sqlalchemy import Column
from sqlalchemy.orm import Query, CompositeProperty
from sqlalchemy.orm.attributes import InstrumentedAttribute
from sqlalchemy.orm.rela... | 0.839405 | 0.253364 |
from models import slip
import numpy as np
import matplotlib.pyplot as plt
p = {'mass': 1.36, # 80.0,
'stiffness': 600.3, # 8200.0,
'resting_length': 0.222,
'gravity': 9.81,
'angle_of_attack': 0.5452,
'actuator_resting_length': 0.0} # offset of CoG to leg-start. Unimoprtant
x0 = np.array(... | demos/slip_demo.py | from models import slip
import numpy as np
import matplotlib.pyplot as plt
p = {'mass': 1.36, # 80.0,
'stiffness': 600.3, # 8200.0,
'resting_length': 0.222,
'gravity': 9.81,
'angle_of_attack': 0.5452,
'actuator_resting_length': 0.0} # offset of CoG to leg-start. Unimoprtant
x0 = np.array(... | 0.430147 | 0.450299 |
from .scratch_itch import ScratchItchEnv
from .scratch_itch_mesh import ScratchItchMeshEnv
from envs.envs_assistive.agents import pr2, baxter, sawyer, jaco, stretch, panda, human, human_mesh
from envs.envs_assistive.agents.pr2 import PR2
from envs.envs_assistive.agents.baxter import Baxter
from envs.envs_assistive.agen... | envs/envs_assistive/scratch_itch_envs.py | from .scratch_itch import ScratchItchEnv
from .scratch_itch_mesh import ScratchItchMeshEnv
from envs.envs_assistive.agents import pr2, baxter, sawyer, jaco, stretch, panda, human, human_mesh
from envs.envs_assistive.agents.pr2 import PR2
from envs.envs_assistive.agents.baxter import Baxter
from envs.envs_assistive.agen... | 0.450359 | 0.383584 |
from django.core.cache import (
cache as cache_default, caches, InvalidCacheBackendError )
from django.conf import settings
import itertools as it, operator as op, functools as ft
from hashlib import md5
T_INTERVAL, T_HOST, T_ITEM, T_META = xrange(4)
class lazy_cache(object):
def __getattr__(self, k):
global ... | feedjack/fjcache.py |
from django.core.cache import (
cache as cache_default, caches, InvalidCacheBackendError )
from django.conf import settings
import itertools as it, operator as op, functools as ft
from hashlib import md5
T_INTERVAL, T_HOST, T_ITEM, T_META = xrange(4)
class lazy_cache(object):
def __getattr__(self, k):
global ... | 0.459804 | 0.12544 |
import sys
import json
from pyspark.sql import SparkSession, functions, types
from pyspark.sql.functions import explode
def popular_category_for_languages():
data_stream = spark.read.json('stream_cleanned')
data_channel = spark.read.json('channel_cleanned')
data_game = spark.read.json('real_game_info').cac... | Analysis/popular_category_for_language.py | import sys
import json
from pyspark.sql import SparkSession, functions, types
from pyspark.sql.functions import explode
def popular_category_for_languages():
data_stream = spark.read.json('stream_cleanned')
data_channel = spark.read.json('channel_cleanned')
data_game = spark.read.json('real_game_info').cac... | 0.240685 | 0.125896 |
import argparse
import json
import copy
import torch
import torch.nn.functional as F
from torch.utils.data import DataLoader
from datasets.shapenet import build_shapenet
from models.nerf import build_nerf
from models.rendering import get_rays_shapenet, sample_points, volume_render
import wandb
from shapenet_test import... | shapenet_train.py | import argparse
import json
import copy
import torch
import torch.nn.functional as F
from torch.utils.data import DataLoader
from datasets.shapenet import build_shapenet
from models.nerf import build_nerf
from models.rendering import get_rays_shapenet, sample_points, volume_render
import wandb
from shapenet_test import... | 0.745306 | 0.293803 |
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
]
operations = [
migrations.CreateModel(
name='Contact',
fields=[
('id', models.AutoField(auto_created=True, primary_k... | plans/migrations/0001_initial.py | from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
]
operations = [
migrations.CreateModel(
name='Contact',
fields=[
('id', models.AutoField(auto_created=True, primary_k... | 0.641422 | 0.162181 |
import numpy as np
class PerformanceEvaluator:
def __init__(self, numberOfClasses):
self.numberOfClasses = numberOfClasses
self.truePositives = np.zeros(self.numberOfClasses)
self.falsePositives = np.zeros(self.numberOfClasses)
self.trueNegatives = np.zeros(self.numberOfClasses)
... | src/PerformanceEvaluator.py | import numpy as np
class PerformanceEvaluator:
def __init__(self, numberOfClasses):
self.numberOfClasses = numberOfClasses
self.truePositives = np.zeros(self.numberOfClasses)
self.falsePositives = np.zeros(self.numberOfClasses)
self.trueNegatives = np.zeros(self.numberOfClasses)
... | 0.454956 | 0.481454 |
import pprint
import re # noqa: F401
import six
class CollectorAttribute(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
"""
Attributes:
swagger_types (dict): The key is attribute name
a... | logicmonitor_sdk/models/collector_attribute.py | import pprint
import re # noqa: F401
import six
class CollectorAttribute(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
"""
Attributes:
swagger_types (dict): The key is attribute name
a... | 0.705379 | 0.239294 |
import os
import gc
import sys
import importlib
import numpy as np
import pandas as pd
from sklearn.pipeline import Pipeline
from sklearn.ensemble import RandomForestClassifier
from sklearn.ensemble import ExtraTreesClassifier
from sklearn.ensemble import GradientBoostingClassifier
from xgboost import XGBClassifier
fr... | 20180603/StackingReallyMax/StackingSecondLayer.py |
import os
import gc
import sys
import importlib
import numpy as np
import pandas as pd
from sklearn.pipeline import Pipeline
from sklearn.ensemble import RandomForestClassifier
from sklearn.ensemble import ExtraTreesClassifier
from sklearn.ensemble import GradientBoostingClassifier
from xgboost import XGBClassifier
fr... | 0.461745 | 0.158369 |
import os
import nipype
import nbformat
def test_version():
print('nipype version: ', nipype.__version__)
def prepare_test_data():
"""Prepare test data."""
print('Install test dataset ds000114 in user\'s home folder.')
os.system('datalad -C /home/neuro install ///workshops/nih-2017/ds000114')
p... | scripts/test_notebooks.py | import os
import nipype
import nbformat
def test_version():
print('nipype version: ', nipype.__version__)
def prepare_test_data():
"""Prepare test data."""
print('Install test dataset ds000114 in user\'s home folder.')
os.system('datalad -C /home/neuro install ///workshops/nih-2017/ds000114')
p... | 0.450843 | 0.205177 |
from __future__ import annotations
import os
import random
import time
from abc import ABCMeta, abstractmethod
from collections import Counter
from typing import Dict, List, Optional, Union
import jsonlines
import yaml
from montreal_forced_aligner.abc import MfaWorker, TemporaryDirectoryMixin
from montreal_forced_al... | montreal_forced_aligner/corpus/base.py | from __future__ import annotations
import os
import random
import time
from abc import ABCMeta, abstractmethod
from collections import Counter
from typing import Dict, List, Optional, Union
import jsonlines
import yaml
from montreal_forced_aligner.abc import MfaWorker, TemporaryDirectoryMixin
from montreal_forced_al... | 0.866867 | 0.125627 |
from enum import Enum
import matplotlib.pyplot as plt
from simalia.data import index
class PlotTypes(Enum):
LINE = 1
BAR = 2
PIE = 3
DONUT = 4
class Plot:
def __init__(self, title="", legend=False):
self.title = title
self.legend = legend
self.type = None
self.... | plot/plot.py | from enum import Enum
import matplotlib.pyplot as plt
from simalia.data import index
class PlotTypes(Enum):
LINE = 1
BAR = 2
PIE = 3
DONUT = 4
class Plot:
def __init__(self, title="", legend=False):
self.title = title
self.legend = legend
self.type = None
self.... | 0.816223 | 0.535159 |
"""
use a comma separated value file as a database
Author: <NAME>
eMail: <EMAIL>
Date: 21-Mar-02
"""
import PythonCard
from PythonCard import dialog, model
configFile = 'custdb.ini'
columns = [ 'name',
'firstName',
'title',
'gender',
'function',
'company',... | vb2py/PythonCard/samples/custdb/custdb.py | """
use a comma separated value file as a database
Author: <NAME>
eMail: <EMAIL>
Date: 21-Mar-02
"""
import PythonCard
from PythonCard import dialog, model
configFile = 'custdb.ini'
columns = [ 'name',
'firstName',
'title',
'gender',
'function',
'company',... | 0.308294 | 0.177027 |
from collections import OrderedDict
from usaspending_api.search.filters.elasticsearch.naics import NaicsCodes
from usaspending_api.search.filters.elasticsearch.tas import TasCodes
from usaspending_api.search.filters.mixins.psc import PSCCodesMixin
def upper_case_dict_values(input_dict):
for key in input_dict:
... | usaspending_api/common/helpers/dict_helpers.py | from collections import OrderedDict
from usaspending_api.search.filters.elasticsearch.naics import NaicsCodes
from usaspending_api.search.filters.elasticsearch.tas import TasCodes
from usaspending_api.search.filters.mixins.psc import PSCCodesMixin
def upper_case_dict_values(input_dict):
for key in input_dict:
... | 0.753194 | 0.345188 |
from __future__ import annotations
from typing import Optional, Dict, List, Union
import re
import os
import json
import loguru
from shablbot.models.phrases import PhraseBody, PhraseBodyWord
from shablbot.settings.settings_model import SettingsModel
from shablbot.core.color import ColorText
from shablbot.core.utils ... | shablbot/components/phrases.py | from __future__ import annotations
from typing import Optional, Dict, List, Union
import re
import os
import json
import loguru
from shablbot.models.phrases import PhraseBody, PhraseBodyWord
from shablbot.settings.settings_model import SettingsModel
from shablbot.core.color import ColorText
from shablbot.core.utils ... | 0.869119 | 0.144964 |
""" Unit tests for the decoder. (Tests only initialization so far) """
import unittest
import tensorflow as tf
from neuralmonkey.decoders.decoder import Decoder
from neuralmonkey.vocabulary import Vocabulary
class TestDecoder(unittest.TestCase):
@classmethod
def setUpClass(cls):
tf.reset_default_gr... | neuralmonkey/tests/test_decoder.py | """ Unit tests for the decoder. (Tests only initialization so far) """
import unittest
import tensorflow as tf
from neuralmonkey.decoders.decoder import Decoder
from neuralmonkey.vocabulary import Vocabulary
class TestDecoder(unittest.TestCase):
@classmethod
def setUpClass(cls):
tf.reset_default_gr... | 0.812756 | 0.608071 |
import random
import svgwrite
from svgwrite import rgb
def bkggen_square(name):
# image size
img_draw_sz = "6cm"
img_cell_count = 24
img_cell_sz = 5
img_gutter_sz = 1
colors = [rgb(col, col, col) for col in [246, 248, 250, 252, 255]]
dwg = svgwrite.Drawing(name, (img_draw_sz, img_draw_sz), debug=True)
# D... | generators/bkggen.py |
import random
import svgwrite
from svgwrite import rgb
def bkggen_square(name):
# image size
img_draw_sz = "6cm"
img_cell_count = 24
img_cell_sz = 5
img_gutter_sz = 1
colors = [rgb(col, col, col) for col in [246, 248, 250, 252, 255]]
dwg = svgwrite.Drawing(name, (img_draw_sz, img_draw_sz), debug=True)
# D... | 0.353317 | 0.158956 |
import torch
import numpy as np
from torch import nn
from torch.autograd import Variable
import torch.nn.functional as F
import random
import gc
import json
torch.set_printoptions(profile="full")
# outfile = open("out_smd_embeddings.csv", 'a')
gv = {}
# torch.backends.cudnn.benchmark = False
# torch.set_deterministic(T... | code/models/aggnet.py | import torch
import numpy as np
from torch import nn
from torch.autograd import Variable
import torch.nn.functional as F
import random
import gc
import json
torch.set_printoptions(profile="full")
# outfile = open("out_smd_embeddings.csv", 'a')
gv = {}
# torch.backends.cudnn.benchmark = False
# torch.set_deterministic(T... | 0.849472 | 0.214445 |
import os
import sys
import types
import inspect
import subprocess
import hashlib
from . import Parser
if sys.version_info[0] >= 3:
string_types = str,
text_type = str
else: # pragma: no cover
string_types = basestring,
text_type = unicode
class JSString(text_type):
""" A subclass of string, so... | flexx/pyscript/functions.py | import os
import sys
import types
import inspect
import subprocess
import hashlib
from . import Parser
if sys.version_info[0] >= 3:
string_types = str,
text_type = str
else: # pragma: no cover
string_types = basestring,
text_type = unicode
class JSString(text_type):
""" A subclass of string, so... | 0.521227 | 0.322313 |
from collections import defaultdict
import itertools
from ez_lib import ez_flow_tool
from domain.network_premitives import *
from domain.message import InstallUpdateMessage
from misc import global_vars, logger, constants
class EzCtrlHandler(object):
def __init__(self):
self.log = self.init_logger()
... | simulator/ez_lib/ez_ctrl_handler.py | from collections import defaultdict
import itertools
from ez_lib import ez_flow_tool
from domain.network_premitives import *
from domain.message import InstallUpdateMessage
from misc import global_vars, logger, constants
class EzCtrlHandler(object):
def __init__(self):
self.log = self.init_logger()
... | 0.506103 | 0.115586 |
# Types of Netflow v9 fields, per https://www.ietf.org/rfc/rfc3954.txt and http://www.iana.org/assignments/ipfix/ipfix.xhtml#ipfix-information-elements
# Special ASA fields per http://www.cisco.com/c/en/us/td/docs/security/asa/special/netflow/guide/asa_netflow.html#pgfId-1330387
v9_fields = {
1:{"Name":"IN_BYTES", ... | Python/field_types.py |
# Types of Netflow v9 fields, per https://www.ietf.org/rfc/rfc3954.txt and http://www.iana.org/assignments/ipfix/ipfix.xhtml#ipfix-information-elements
# Special ASA fields per http://www.cisco.com/c/en/us/td/docs/security/asa/special/netflow/guide/asa_netflow.html#pgfId-1330387
v9_fields = {
1:{"Name":"IN_BYTES", ... | 0.384334 | 0.16872 |
import datetime
from .errors import InvalidApplicationCommandType, InvalidApplicationCommandOptionType
from .member import User, PartialUser
from .slash import (
AnyOption,
Subcommand,
SubCommandGroup,
StringOption,
BooleanOption,
IntegerOption,
UserOption,
ChannelOptio... | EpikCord/application.py | import datetime
from .errors import InvalidApplicationCommandType, InvalidApplicationCommandOptionType
from .member import User, PartialUser
from .slash import (
AnyOption,
Subcommand,
SubCommandGroup,
StringOption,
BooleanOption,
IntegerOption,
UserOption,
ChannelOptio... | 0.668339 | 0.140248 |
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.colors
from matplotlib.cm import ScalarMappable
def f(z):
return z**2
def magnitude_shading(f_val):
f_val_abs = np.abs(f_val)
return 0.5 + 0.5 * (f_val_abs - np.floor(f_val_abs))
def gridlines(f_val, threshold):
return (np.abs(np... | contents/domain_coloring/code/python/domain_coloring.py | import numpy as np
import matplotlib.pyplot as plt
import matplotlib.colors
from matplotlib.cm import ScalarMappable
def f(z):
return z**2
def magnitude_shading(f_val):
f_val_abs = np.abs(f_val)
return 0.5 + 0.5 * (f_val_abs - np.floor(f_val_abs))
def gridlines(f_val, threshold):
return (np.abs(np... | 0.889331 | 0.710069 |
del_items(0x8012427C)
SetType(0x8012427C, "void PresOnlyTestRoutine__Fv()")
del_items(0x801242A4)
SetType(0x801242A4, "void FeInitBuffer__Fv()")
del_items(0x801242CC)
SetType(0x801242CC, "void FeAddEntry__Fii8TXT_JUSTiP7FeTableP5CFont(int X, int Y, enum TXT_JUST Just, int Str, struct FeTable *MenuPtr, struct CFont *Fon... | psx/_dump_/37/_dump_ida_/overlay_a/set_funcs.py | del_items(0x8012427C)
SetType(0x8012427C, "void PresOnlyTestRoutine__Fv()")
del_items(0x801242A4)
SetType(0x801242A4, "void FeInitBuffer__Fv()")
del_items(0x801242CC)
SetType(0x801242CC, "void FeAddEntry__Fii8TXT_JUSTiP7FeTableP5CFont(int X, int Y, enum TXT_JUST Just, int Str, struct FeTable *MenuPtr, struct CFont *Fon... | 0.152127 | 0.07403 |
import _struct
import unittest
from math import isclose
from random import randint, uniform, choice
from string import ascii_lowercase
from thingsboard_gateway.connectors.can.bytes_can_uplink_converter import BytesCanUplinkConverter
class BytesCanUplinkConverterTests(unittest.TestCase):
def setUp(self):
... | tests/converters/test_bytes_can_uplink_converter.py |
import _struct
import unittest
from math import isclose
from random import randint, uniform, choice
from string import ascii_lowercase
from thingsboard_gateway.connectors.can.bytes_can_uplink_converter import BytesCanUplinkConverter
class BytesCanUplinkConverterTests(unittest.TestCase):
def setUp(self):
... | 0.613468 | 0.521959 |
from django.test import TestCase
from django.contrib.auth.models import User
from tethys_apps.models import TethysApp
from tethys_quotas.models import UserQuota, TethysAppQuota
from tethys_quotas.models import ResourceQuota
from tethys_quotas.handlers.base import ResourceQuotaHandler
class EntityQuotaTest(TestCase):
... | tests/unit_tests/test_tethys_quotas/test_models/test_EntityQuota.py | from django.test import TestCase
from django.contrib.auth.models import User
from tethys_apps.models import TethysApp
from tethys_quotas.models import UserQuota, TethysAppQuota
from tethys_quotas.models import ResourceQuota
from tethys_quotas.handlers.base import ResourceQuotaHandler
class EntityQuotaTest(TestCase):
... | 0.518302 | 0.197929 |
import os
import sys
import random
import pickle
import argparse
import time
import pandas as pd
import numpy as np
import boto3
from io import BytesIO
from consts import (
PATH,
NUM_WORKERS,
s3,
bucket
)
from funcs import (
debug_print,
s3_to_df
)
def main():
# Parse command line argu... | scripts/parallelize_download.py | import os
import sys
import random
import pickle
import argparse
import time
import pandas as pd
import numpy as np
import boto3
from io import BytesIO
from consts import (
PATH,
NUM_WORKERS,
s3,
bucket
)
from funcs import (
debug_print,
s3_to_df
)
def main():
# Parse command line argu... | 0.148417 | 0.143728 |
from __future__ import print_function
__date__ = "2017-12-10"
__author__ = "<NAME>"
__email__ = "<EMAIL>"
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import random
""" Returns the distance from point (x,y) to the line in slope-intercept form """
def dist_from_line(x=0, y=0, m=0, b=... | P2/iris_analysis.py | from __future__ import print_function
__date__ = "2017-12-10"
__author__ = "<NAME>"
__email__ = "<EMAIL>"
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import random
""" Returns the distance from point (x,y) to the line in slope-intercept form """
def dist_from_line(x=0, y=0, m=0, b=... | 0.816882 | 0.531696 |
import pandas as pd
from poli_sci_kit.appointment.checks import consistency_condition, quota_condition
def test_quota_condition_pass():
shares = [
1918578,
1348072,
1023503,
937901,
639747,
625263,
621832,
610408,
455025,
429811,
... | tests/appointment/test_checks.py | import pandas as pd
from poli_sci_kit.appointment.checks import consistency_condition, quota_condition
def test_quota_condition_pass():
shares = [
1918578,
1348072,
1023503,
937901,
639747,
625263,
621832,
610408,
455025,
429811,
... | 0.484136 | 0.316964 |
# namespace: proto
import flatbuffers
class SubscriberReceived(object):
__slots__ = ['_tab']
@classmethod
def GetRootAsSubscriberReceived(cls, buf, offset):
n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
x = SubscriberReceived()
x.Init(buf, n + offset)
... | autobahn/wamp/gen/wamp/proto/SubscriberReceived.py |
# namespace: proto
import flatbuffers
class SubscriberReceived(object):
__slots__ = ['_tab']
@classmethod
def GetRootAsSubscriberReceived(cls, buf, offset):
n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
x = SubscriberReceived()
x.Init(buf, n + offset)
... | 0.672977 | 0.20834 |
from abc import ABC
import numpy as np
from scipy.linalg import eigh
from sklearn import preprocessing
class Model(object):
def fit(self, *args, **kwargs):
raise NotImplementedError()
def transform(self, *args, **kwargs):
raise NotImplementedError()
def fit_transform(self, *args, **kwa... | python_code/rcca.py | from abc import ABC
import numpy as np
from scipy.linalg import eigh
from sklearn import preprocessing
class Model(object):
def fit(self, *args, **kwargs):
raise NotImplementedError()
def transform(self, *args, **kwargs):
raise NotImplementedError()
def fit_transform(self, *args, **kwa... | 0.909086 | 0.335228 |
"""Tools to analyse messages."""
from pypher import utils
from pypher import converter
from pypher import ocurs
def ocurs_chars(
message: str, *, percent: bool = False, reverse: bool = False
) -> dict[str, int | float]:
"""Count all ocurences of char in the message.
Args:
message (str): the message to process.... | pypher/analyser.py | """Tools to analyse messages."""
from pypher import utils
from pypher import converter
from pypher import ocurs
def ocurs_chars(
message: str, *, percent: bool = False, reverse: bool = False
) -> dict[str, int | float]:
"""Count all ocurences of char in the message.
Args:
message (str): the message to process.... | 0.900026 | 0.545588 |
import scrapy
import json
import os
from scrapy.http import Request
from bs4 import BeautifulSoup
from ..items import DemoSpiderItem
from scrapy import signals
from scrapy.xlib.pydispatch import dispatcher
from ..driver import DemoDriver
class DemoSpider(scrapy.Spider):
name = 'demo-spider'
start_url = 'https:... | crawler/JianShuCrawler/demo_spider/spiders/DemoSpider.py | import scrapy
import json
import os
from scrapy.http import Request
from bs4 import BeautifulSoup
from ..items import DemoSpiderItem
from scrapy import signals
from scrapy.xlib.pydispatch import dispatcher
from ..driver import DemoDriver
class DemoSpider(scrapy.Spider):
name = 'demo-spider'
start_url = 'https:... | 0.179171 | 0.061565 |
import unittest
import pystac
from pystac import (Catalog, Collection, Item)
from pystac.extensions.base import (CatalogExtension, CollectionExtension, ItemExtension,
ExtensionDefinition, ExtendedObject, ExtensionError)
from pystac.stac_object import ExtensionIndex
from tests.utils... | tests/extensions/test_extensions.py | import unittest
import pystac
from pystac import (Catalog, Collection, Item)
from pystac.extensions.base import (CatalogExtension, CollectionExtension, ItemExtension,
ExtensionDefinition, ExtendedObject, ExtensionError)
from pystac.stac_object import ExtensionIndex
from tests.utils... | 0.595257 | 0.203906 |
from windowing.dynamic import DynamicSessions
import argparse, json, logging, time
import apache_beam as beam
import apache_beam.transforms.window as window
from apache_beam.options.pipeline_options import PipelineOptions
from apache_beam.options.pipeline_options import SetupOptions
class AnalyzeSession(beam.DoFn):... | BEAM-PATTERNS/data-driven-sessions/python/sessions.py | from windowing.dynamic import DynamicSessions
import argparse, json, logging, time
import apache_beam as beam
import apache_beam.transforms.window as window
from apache_beam.options.pipeline_options import PipelineOptions
from apache_beam.options.pipeline_options import SetupOptions
class AnalyzeSession(beam.DoFn):... | 0.514156 | 0.229438 |
import cv2
import numpy as np
import os
if not os.path.isdir('CarData'):
print('CarData folder not found. Please download and unzip '
'http://l2r.cs.uiuc.edu/~cogcomp/Data/Car/CarData.tar.gz '
'or https://github.com/gcr/arc-evaluator/raw/master/CarData.tar.gz '
'into the same folder a... | chapter07/detect_car_bow_svm.py | import cv2
import numpy as np
import os
if not os.path.isdir('CarData'):
print('CarData folder not found. Please download and unzip '
'http://l2r.cs.uiuc.edu/~cogcomp/Data/Car/CarData.tar.gz '
'or https://github.com/gcr/arc-evaluator/raw/master/CarData.tar.gz '
'into the same folder a... | 0.178562 | 0.261178 |
from sgnlp.models.lsr import LsrModel, LsrConfig, LsrPreprocessor, LsrPostprocessor
from transformers import cached_path
# Download files from azure blob storage
rel2id_path = cached_path('https://sgnlp.blob.core.windows.net/models/lsr/rel2id.json')
word2id_path = cached_path('https://sgnlp.blob.core.windows.net/model... | demo_api/lsr/usage.py | from sgnlp.models.lsr import LsrModel, LsrConfig, LsrPreprocessor, LsrPostprocessor
from transformers import cached_path
# Download files from azure blob storage
rel2id_path = cached_path('https://sgnlp.blob.core.windows.net/models/lsr/rel2id.json')
word2id_path = cached_path('https://sgnlp.blob.core.windows.net/model... | 0.66888 | 0.394347 |
import torch
import torch.nn as nn
import torch.nn.functional as F
class CReLU6(nn.Module):
def __init__(self):
super(CReLU6, self).__init__()
def forward(self, x):
return torch.cat((F.relu6(x), F.relu6(-x)), 1)
def conv_bn(inp, oup, stride, crelu=False):
if crelu:
return nn.Seq... | MobileNetV2.py | import torch
import torch.nn as nn
import torch.nn.functional as F
class CReLU6(nn.Module):
def __init__(self):
super(CReLU6, self).__init__()
def forward(self, x):
return torch.cat((F.relu6(x), F.relu6(-x)), 1)
def conv_bn(inp, oup, stride, crelu=False):
if crelu:
return nn.Seq... | 0.920048 | 0.60964 |
import os, sys, json, boto3, re
from urlparse import urlparse
import datetime
S3_RE = re.compile(r's3://.+?/(.+?)/(.+)$')
# get args
product_name = sys.argv[1]
bucket_url = sys.argv[2]
pub_sns_arn = sys.argv[3]
callback_sns_arn = sys.argv[4]
product_list = []
BROWSE_IMAGE_NAME="filt_topophase.unw.geo.browse_small.... | sns_signal.py | import os, sys, json, boto3, re
from urlparse import urlparse
import datetime
S3_RE = re.compile(r's3://.+?/(.+?)/(.+)$')
# get args
product_name = sys.argv[1]
bucket_url = sys.argv[2]
pub_sns_arn = sys.argv[3]
callback_sns_arn = sys.argv[4]
product_list = []
BROWSE_IMAGE_NAME="filt_topophase.unw.geo.browse_small.... | 0.086025 | 0.124959 |
import aiohttp.web
import pytest
from aiohttp.test_utils import make_mocked_coro
@pytest.mark.parametrize("error", [None, "400", "404"])
async def test_get_release(error, mocker, spawn_client, resp_is):
client = await spawn_client(authorize=True)
if error != "404":
document = {
"_id": "fo... | tests/references/test_api.py | import aiohttp.web
import pytest
from aiohttp.test_utils import make_mocked_coro
@pytest.mark.parametrize("error", [None, "400", "404"])
async def test_get_release(error, mocker, spawn_client, resp_is):
client = await spawn_client(authorize=True)
if error != "404":
document = {
"_id": "fo... | 0.590071 | 0.318094 |
import typing
from .snowflake import Snowflake
from .user import User
from ..base.model import DiscordObjectBase, TypeBase
from ..base.http import EmptyObject
from ..utils import cdn_url
if typing.TYPE_CHECKING:
from .guild import Guild
from ..api import APIClient
class Sticker(DiscordObjectBase):
TYPING... | dico/model/sticker.py | import typing
from .snowflake import Snowflake
from .user import User
from ..base.model import DiscordObjectBase, TypeBase
from ..base.http import EmptyObject
from ..utils import cdn_url
if typing.TYPE_CHECKING:
from .guild import Guild
from ..api import APIClient
class Sticker(DiscordObjectBase):
TYPING... | 0.648132 | 0.090293 |
from dicts import *
from player import Player
# Stores weapons usable by player, all weapons have a:
# Weapon[0] is the weapon name, Weapon[1] is the weapon dmg
# Weapon[2] is the verb written when atk is used
WEAPONS = {
# NAME ----> DMG --> VERB
FIST : ['Fist', 1, 'punched'],
DAGGER : [... | dicts/weapons_skills.py | from dicts import *
from player import Player
# Stores weapons usable by player, all weapons have a:
# Weapon[0] is the weapon name, Weapon[1] is the weapon dmg
# Weapon[2] is the verb written when atk is used
WEAPONS = {
# NAME ----> DMG --> VERB
FIST : ['Fist', 1, 'punched'],
DAGGER : [... | 0.5083 | 0.228156 |
from ginga.qtw.QtHelp import QtGui, QtCore
from ginga.qtw import QtHelp
from ginga import GingaPlugin
class Ruler(GingaPlugin.LocalPlugin):
def __init__(self, fv, fitsimage):
# superclass defines some variables for us, like logger
super(Ruler, self).__init__(fv, fitsimage)
self.rulecolor... | ginga/qtw/plugins/Ruler.py | from ginga.qtw.QtHelp import QtGui, QtCore
from ginga.qtw import QtHelp
from ginga import GingaPlugin
class Ruler(GingaPlugin.LocalPlugin):
def __init__(self, fv, fitsimage):
# superclass defines some variables for us, like logger
super(Ruler, self).__init__(fv, fitsimage)
self.rulecolor... | 0.477554 | 0.099777 |
from __future__ import division
# LIBTBX_PRE_DISPATCHER_INCLUDE_SH PHENIX_GUI_ENVIRONMENT=1
# LIBTBX_PRE_DISPATCHER_INCLUDE_SH export PHENIX_GUI_ENVIRONMENT
from gltbx import wx_viewer
from libtbx.option_parser import libtbx_option_parser
import wx
import sys
class viewer(wx_viewer.show_points_and_lines_mixin):
de... | mmtbx/command_line/pdb_view_ad_hoc.py | from __future__ import division
# LIBTBX_PRE_DISPATCHER_INCLUDE_SH PHENIX_GUI_ENVIRONMENT=1
# LIBTBX_PRE_DISPATCHER_INCLUDE_SH export PHENIX_GUI_ENVIRONMENT
from gltbx import wx_viewer
from libtbx.option_parser import libtbx_option_parser
import wx
import sys
class viewer(wx_viewer.show_points_and_lines_mixin):
de... | 0.279533 | 0.19389 |
import struct
pic = [
0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF,
0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF,
0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0x00, 0x00,
0xFE, 0x... | sample_images/bitmap_converter.py | import struct
pic = [
0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF,
0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF,
0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0xFF, 0x00, 0x00,
0xFE, 0x... | 0.021854 | 0.487978 |
import os
import unittest
from copy import deepcopy
from os import path
import yaml
from mock import patch
from moto import mock_sts
from runway.commands.modules_command import (select_modules_to_run,
validate_environment)
def module_tag_config():
"""Return a runway.... | tests/commands/test_modules_command.py | import os
import unittest
from copy import deepcopy
from os import path
import yaml
from mock import patch
from moto import mock_sts
from runway.commands.modules_command import (select_modules_to_run,
validate_environment)
def module_tag_config():
"""Return a runway.... | 0.539954 | 0.212804 |
from __future__ import absolute_import, division, print_function
import six
import tensorflow as tf
from tensorflow.contrib.framework import add_arg_scope
from polyaxon_lib.libs import getters
@add_arg_scope
def variable(name, shape=None, dtype=tf.float32, initializer=None, regularizer=None,
trainabl... | polyaxon_lib/variables.py | from __future__ import absolute_import, division, print_function
import six
import tensorflow as tf
from tensorflow.contrib.framework import add_arg_scope
from polyaxon_lib.libs import getters
@add_arg_scope
def variable(name, shape=None, dtype=tf.float32, initializer=None, regularizer=None,
trainabl... | 0.787972 | 0.296501 |
__author__ = '<NAME>'
__email__ = '<EMAIL>'
__copyright__ = 'Copyright 2017, Karlsruhe Institute of Technology'
import abc
from fireworks import Firework
from fireworks.core.firework import FWAction, FireTaskBase
from fireworks.utilities.fw_serializers import load_object
from past.builtins import basestring
class C... | fireworks/user_objects/firetasks/flowcontrol_tasks.py | __author__ = '<NAME>'
__email__ = '<EMAIL>'
__copyright__ = 'Copyright 2017, Karlsruhe Institute of Technology'
import abc
from fireworks import Firework
from fireworks.core.firework import FWAction, FireTaskBase
from fireworks.utilities.fw_serializers import load_object
from past.builtins import basestring
class C... | 0.449876 | 0.261685 |
import pandas as pd
from sklearn.svm import SVR
from sklearn.preprocessing import StandardScaler
from sklearn.metrics import r2_score
import json
# Configuration file
with open('config.json') as config_file:
config = json.load(config_file)
# Import song info
csv_data = config['csv_train_data']
data = pd.read_csv(... | src/model/model_benchmark.py | import pandas as pd
from sklearn.svm import SVR
from sklearn.preprocessing import StandardScaler
from sklearn.metrics import r2_score
import json
# Configuration file
with open('config.json') as config_file:
config = json.load(config_file)
# Import song info
csv_data = config['csv_train_data']
data = pd.read_csv(... | 0.439026 | 0.205575 |
from newrelic.agent import (current_transaction, wrap_wsgi_application,
wrap_function_wrapper, callable_name, wrap_function_trace,
FunctionTrace, TransactionNameWrapper, function_wrapper,
ignore_status_code, FunctionTraceWrapper)
def framework_details():
import flask
return ('Flask', getattr(flask... | venv/lib/python2.7/site-packages/newrelic-2.62.0.47/newrelic/hooks/framework_flask.py | from newrelic.agent import (current_transaction, wrap_wsgi_application,
wrap_function_wrapper, callable_name, wrap_function_trace,
FunctionTrace, TransactionNameWrapper, function_wrapper,
ignore_status_code, FunctionTraceWrapper)
def framework_details():
import flask
return ('Flask', getattr(flask... | 0.704567 | 0.096408 |
import pandas as pd
import difflib
import editdistance
from .tokenization import Tokens
import nltk
from itertools import groupby
class SClustering:
def __init__(self, groups, tokens, accuracy):
self.groups = groups
self.tokens = tokens
self.accuracy = accuracy
def matching_clusteri... | accounting/clusterlogs/matching_clusterization.py | import pandas as pd
import difflib
import editdistance
from .tokenization import Tokens
import nltk
from itertools import groupby
class SClustering:
def __init__(self, groups, tokens, accuracy):
self.groups = groups
self.tokens = tokens
self.accuracy = accuracy
def matching_clusteri... | 0.424054 | 0.396302 |
import argparse
import os
from src.arguments import ModelArguments, DataTrainingArguments
from src.data_handling.DataHandlers import NERDataHandler
# General
import logging
import os
import dataclasses
# Transformers
from transformers import (
AutoConfig,
AutoModelForTokenClassification,
AutoTokenizer,
... | train_teacher.py | import argparse
import os
from src.arguments import ModelArguments, DataTrainingArguments
from src.data_handling.DataHandlers import NERDataHandler
# General
import logging
import os
import dataclasses
# Transformers
from transformers import (
AutoConfig,
AutoModelForTokenClassification,
AutoTokenizer,
... | 0.620852 | 0.205296 |
import datetime
from flask import Blueprint, request, current_app, jsonify, make_response, g
from functools import wraps
import jwt
import os
from photoseleven.db import get_db
from photoseleven.error import only_json_content, responce_fail, responce_success
import re
from werkzeug.security import check_password_hash, ... | photoseleven/auth.py | import datetime
from flask import Blueprint, request, current_app, jsonify, make_response, g
from functools import wraps
import jwt
import os
from photoseleven.db import get_db
from photoseleven.error import only_json_content, responce_fail, responce_success
import re
from werkzeug.security import check_password_hash, ... | 0.395484 | 0.065396 |
import argparse
import datetime
import os
import robot2cam_calibration.track_grid as ci
import ur_cb2.cb2_robot as cb2_robot
import json
import time
import numpy as np
def main():
"""
Exposes :py:func:`get_correspondences` to the commandline. Run with arg
`-h` for more info.
"""
# Parse in argum... | robot2cam_calibration/get_correspondences.py |
import argparse
import datetime
import os
import robot2cam_calibration.track_grid as ci
import ur_cb2.cb2_robot as cb2_robot
import json
import time
import numpy as np
def main():
"""
Exposes :py:func:`get_correspondences` to the commandline. Run with arg
`-h` for more info.
"""
# Parse in argum... | 0.746139 | 0.538255 |
import mock
from oslo_db import exception
from heat.engine import sync_point
from heat.tests import common
from heat.tests.engine import tools
from heat.tests import utils
class SyncPointTestCase(common.HeatTestCase):
def setUp(self):
super(SyncPointTestCase, self).setUp()
self.dummy_event = moc... | heat/tests/engine/test_sync_point.py |
import mock
from oslo_db import exception
from heat.engine import sync_point
from heat.tests import common
from heat.tests.engine import tools
from heat.tests import utils
class SyncPointTestCase(common.HeatTestCase):
def setUp(self):
super(SyncPointTestCase, self).setUp()
self.dummy_event = moc... | 0.579757 | 0.273298 |
import unittest
from decimal import Decimal
import asyncio
from hummingbot.core.rate_oracle.utils import find_rate
from hummingbot.core.rate_oracle.rate_oracle import RateOracle
class RateOracleTest(unittest.TestCase):
def test_find_rate_from_source(self):
asyncio.get_event_loop().run_until_complete(self... | test/test_rate_oracle.py | import unittest
from decimal import Decimal
import asyncio
from hummingbot.core.rate_oracle.utils import find_rate
from hummingbot.core.rate_oracle.rate_oracle import RateOracle
class RateOracleTest(unittest.TestCase):
def test_find_rate_from_source(self):
asyncio.get_event_loop().run_until_complete(self... | 0.446012 | 0.53959 |