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 argparse
import logging
import typing
from dataclasses import dataclass
import telegram
import telegram.ext
import cotd.storage
@dataclass
class Options(argparse.Namespace):
log_level: str
version: str
group: int
mode: str
db: int
@dataclass
class Flags(argparse.Namespace):
feature_... | cotd/service.py | import argparse
import logging
import typing
from dataclasses import dataclass
import telegram
import telegram.ext
import cotd.storage
@dataclass
class Options(argparse.Namespace):
log_level: str
version: str
group: int
mode: str
db: int
@dataclass
class Flags(argparse.Namespace):
feature_... | 0.668556 | 0.144209 |
from pathlib import Path
from vectorseq.pipeline.stages import ExpressionPlots
from vectorseq.pipeline import ExpressionPlotsPipeline
from vectorseq.utils import create_dir
from vectorseq.marker_constants import VentralMidbrainGenes
data_dir = Path("/spare_volume/vectorseq-data")
experiment_id = "3382"
brain_region = ... | scripts/figures/3382_snr_expression_plots.py | from pathlib import Path
from vectorseq.pipeline.stages import ExpressionPlots
from vectorseq.pipeline import ExpressionPlotsPipeline
from vectorseq.utils import create_dir
from vectorseq.marker_constants import VentralMidbrainGenes
data_dir = Path("/spare_volume/vectorseq-data")
experiment_id = "3382"
brain_region = ... | 0.749912 | 0.26011 |
import argparse
import fcntl
import logging
import os
from contextlib import contextmanager
import torch
import torch.nn.functional as F
import torchvision
import poptorch
import popdist
import popdist.poptorch
import horovod.torch as hvd
class ModelWithLoss(torch.nn.Module):
def __init__(self):
super().... | feature_examples/pytorch/popdist/popdist_training.py | import argparse
import fcntl
import logging
import os
from contextlib import contextmanager
import torch
import torch.nn.functional as F
import torchvision
import poptorch
import popdist
import popdist.poptorch
import horovod.torch as hvd
class ModelWithLoss(torch.nn.Module):
def __init__(self):
super().... | 0.789477 | 0.32168 |
import precis_i18n.baseclass as _base
import precis_i18n.profile as _profile
import precis_i18n.unicode as _unicode
def _factory(profile, **kwds):
def _construct(ucd):
return profile(ucd, **kwds)
return _construct
_PROFILES = {
'identifierclass':
_factory(_base.IdentifierClass, name='Ident... | precis_i18n/factory.py |
import precis_i18n.baseclass as _base
import precis_i18n.profile as _profile
import precis_i18n.unicode as _unicode
def _factory(profile, **kwds):
def _construct(ucd):
return profile(ucd, **kwds)
return _construct
_PROFILES = {
'identifierclass':
_factory(_base.IdentifierClass, name='Ident... | 0.715821 | 0.076167 |
import re
import jax.numpy as jnp
import numpy as np
import pytest
from pgmax import fgroup, vgroup
def test_single_factor():
with pytest.raises(ValueError, match="Cannot create a FactorGroup with no Factor."):
fgroup.ORFactorGroup(variables_for_factors=[])
A = vgroup.NDVarArray(num_states=2, shape... | tests/fgroup/test_fgroup.py | import re
import jax.numpy as jnp
import numpy as np
import pytest
from pgmax import fgroup, vgroup
def test_single_factor():
with pytest.raises(ValueError, match="Cannot create a FactorGroup with no Factor."):
fgroup.ORFactorGroup(variables_for_factors=[])
A = vgroup.NDVarArray(num_states=2, shape... | 0.660939 | 0.500183 |
import datetime
from typing import Iterator, Tuple
import os
import secrets
import numpy as np
import tensorflow as tf
import tree
from slippi_ai import data, utils, embed
from slippi_ai.learner import Learner
def get_experiment_tag():
today = datetime.date.today()
return f'{today.year}-{today.month}-{today.day}... | slippi_ai/train_lib.py | import datetime
from typing import Iterator, Tuple
import os
import secrets
import numpy as np
import tensorflow as tf
import tree
from slippi_ai import data, utils, embed
from slippi_ai.learner import Learner
def get_experiment_tag():
today = datetime.date.today()
return f'{today.year}-{today.month}-{today.day}... | 0.801042 | 0.224427 |
__author__ = '<EMAIL> (<NAME>)'
import sys
import os
from CoreGraphics import *
def Usage ():
print """
Usage: splitPDF.py inputFN splitPageNum1 splitPageNum2 ...
- inputFN: the path to the input pdf file.
- splitPageNum1, ...: each one is a positive integer; the numbers
must not exceed the number ... | Python/files/splitPDF.py | __author__ = '<EMAIL> (<NAME>)'
import sys
import os
from CoreGraphics import *
def Usage ():
print """
Usage: splitPDF.py inputFN splitPageNum1 splitPageNum2 ...
- inputFN: the path to the input pdf file.
- splitPageNum1, ...: each one is a positive integer; the numbers
must not exceed the number ... | 0.164752 | 0.261393 |
import re
import time
from deoplete.source.base import Base
LSP_KINDS = [
'Text',
'Method',
'Function',
'Constructor',
'Field',
'Variable',
'Class',
'Interface',
'Module',
'Property',
'Unit',
'Value',
'Enum',
'Keyword',
'Snippet',
'Color',
'File',
... | rplugin/python3/deoplete/sources/vim_lsp.py | import re
import time
from deoplete.source.base import Base
LSP_KINDS = [
'Text',
'Method',
'Function',
'Constructor',
'Field',
'Variable',
'Class',
'Interface',
'Module',
'Property',
'Unit',
'Value',
'Enum',
'Keyword',
'Snippet',
'Color',
'File',
... | 0.264833 | 0.063308 |
import json
import os
import subprocess
from typing import Dict, List, Optional, Tuple
from .util import download_file
class Trombone:
def __init__(self, jar_path: Optional[str] = None):
if jar_path is None:
jar_path = '/tmp/trombone.jar'
if not os.path.exists(jar_path):
... | pytrombone/wrapper.py | import json
import os
import subprocess
from typing import Dict, List, Optional, Tuple
from .util import download_file
class Trombone:
def __init__(self, jar_path: Optional[str] = None):
if jar_path is None:
jar_path = '/tmp/trombone.jar'
if not os.path.exists(jar_path):
... | 0.68458 | 0.180576 |
from transformers import GPT2Tokenizer, GPT2LMHeadModel
import random
import os
import argparse
def parse_arguments():
"""
Parser.
"""
parser = argparse.ArgumentParser()
parser.add_argument("--model_path",
type=str,
default="belgpt2",
... | scripts/tools/generate_text.py | from transformers import GPT2Tokenizer, GPT2LMHeadModel
import random
import os
import argparse
def parse_arguments():
"""
Parser.
"""
parser = argparse.ArgumentParser()
parser.add_argument("--model_path",
type=str,
default="belgpt2",
... | 0.703142 | 0.252303 |
import pandas as pd
import numpy as np
import math
import scipy.stats as stats
import statsmodels.stats.api as sms
def inter_p_value(p_value):
# interpretation
if p_value >= 0 and p_value < 0.01:
inter_p = 'Overwhelming Evidence'
elif p_value >= 0.01 and p_value < 0.05:
inter_p = 'Strong E... | mgt2001/hyp/ind.py | import pandas as pd
import numpy as np
import math
import scipy.stats as stats
import statsmodels.stats.api as sms
def inter_p_value(p_value):
# interpretation
if p_value >= 0 and p_value < 0.01:
inter_p = 'Overwhelming Evidence'
elif p_value >= 0.01 and p_value < 0.05:
inter_p = 'Strong E... | 0.436622 | 0.471284 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import io
import sys
import glob
import argparse
from datetime import datetime
from collections import OrderedDict
import numpy as np
import pandas as pd
import scipy.io as sio
import tensorflow as t... | train/embeddings.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import io
import sys
import glob
import argparse
from datetime import datetime
from collections import OrderedDict
import numpy as np
import pandas as pd
import scipy.io as sio
import tensorflow as t... | 0.718594 | 0.425725 |
import asyncio
import shlex
import subprocess
import sys
import weakref
from typing import Mapping, Sequence
from .. import utils
from ..core.formatter import FormattedEntity
from .base import Worker
class Subprocess(FormattedEntity, Worker):
"""
config:
cmd: str - shell command with mask python form... | aioworkers/worker/subprocess.py | import asyncio
import shlex
import subprocess
import sys
import weakref
from typing import Mapping, Sequence
from .. import utils
from ..core.formatter import FormattedEntity
from .base import Worker
class Subprocess(FormattedEntity, Worker):
"""
config:
cmd: str - shell command with mask python form... | 0.359252 | 0.074064 |
import torch
from torch import nn
class Model(nn.Module):
def __init__(self):
super().__init__()
self._conv_part = nn.Sequential(
nn.Conv2d(3, 6, 5, padding=2),
nn.ReLU(),
nn.MaxPool2d(2),
nn.Conv2d(6, 16, 5),
nn.ReLU(),
nn.Ma... | model.py | import torch
from torch import nn
class Model(nn.Module):
def __init__(self):
super().__init__()
self._conv_part = nn.Sequential(
nn.Conv2d(3, 6, 5, padding=2),
nn.ReLU(),
nn.MaxPool2d(2),
nn.Conv2d(6, 16, 5),
nn.ReLU(),
nn.Ma... | 0.939102 | 0.416441 |
import numpy
class Dummy():
def __init__(self):
'''nothing to do here'''
def calc_pm1(self, exp_vars):
return self.__sum_exp_vars(exp_vars)
def calc_pm2(self, exp_vars):
return self.__sum_exp_vars(exp_vars) * 2
def calc_pm10(self, exp_vars):
return self.__sum_e... | emat/model/core_python/core_python_examples.py |
import numpy
class Dummy():
def __init__(self):
'''nothing to do here'''
def calc_pm1(self, exp_vars):
return self.__sum_exp_vars(exp_vars)
def calc_pm2(self, exp_vars):
return self.__sum_exp_vars(exp_vars) * 2
def calc_pm10(self, exp_vars):
return self.__sum_e... | 0.776369 | 0.421135 |
import abc
import typing
class Query(abc.ABC):
__slots__ = ["token", "token_type"]
def __init__(self, token: str, token_type: str):
self.token = token
self.token_type = token_type
@abc.abstractmethod
def channel(self, snonwflake: int) -> typing.Dict:
"""Interface for the REST... | zenora/base/query.py | import abc
import typing
class Query(abc.ABC):
__slots__ = ["token", "token_type"]
def __init__(self, token: str, token_type: str):
self.token = token
self.token_type = token_type
@abc.abstractmethod
def channel(self, snonwflake: int) -> typing.Dict:
"""Interface for the REST... | 0.805326 | 0.405743 |
"""ASGI server."""
import argparse
import os
import sys
import uvicorn
from fastapi import FastAPI, Request
from fastapi.responses import JSONResponse, PlainTextResponse, Response
from projects import __version__, api
from projects.database import init_db
from projects.exceptions import (
BadRequest,
Forbidde... | projects/api/main.py | """ASGI server."""
import argparse
import os
import sys
import uvicorn
from fastapi import FastAPI, Request
from fastapi.responses import JSONResponse, PlainTextResponse, Response
from projects import __version__, api
from projects.database import init_db
from projects.exceptions import (
BadRequest,
Forbidde... | 0.560012 | 0.069605 |
import os
import subprocess
import sys
import tempfile
import uuid
import zipfile
from collections import Iterable
import requests
from defusedxml.lxml import fromstring
from lxml import etree
from pypandoc import get_pandoc_path
from docmaker.hooks import Hook
THEME_COLORS = (
"dk1",
"lt1",
"dk2",
... | docmaker/features/theme.py | import os
import subprocess
import sys
import tempfile
import uuid
import zipfile
from collections import Iterable
import requests
from defusedxml.lxml import fromstring
from lxml import etree
from pypandoc import get_pandoc_path
from docmaker.hooks import Hook
THEME_COLORS = (
"dk1",
"lt1",
"dk2",
... | 0.149904 | 0.061537 |
import numpy as np
import pandas as pd
import hashlib
CHUNK_SIZE = 4096
# Required metadata fields - everything else goes into a json
META_NAMES = ["ChannelIndex",
"Slice",
"FrameIndex",
"Channel",
"FileName",
"PositionIndex"]
DF_NAMES = ["channe... | imaging_db/utils/meta_utils.py | import numpy as np
import pandas as pd
import hashlib
CHUNK_SIZE = 4096
# Required metadata fields - everything else goes into a json
META_NAMES = ["ChannelIndex",
"Slice",
"FrameIndex",
"Channel",
"FileName",
"PositionIndex"]
DF_NAMES = ["channe... | 0.698844 | 0.536556 |
STATE_SYSTEM = {
'UNAVAILABLE': 0x00000001, # ะัะปะธ ััะพั ะฑะธั ะฒ ะฟะพะปะต state ะบะฝะพะฟะบะธ 0, ัะพ ัะตะบัั ะบะฝะพะฟะบะธ ะบัะฐัะฝัะน (ะบ ะฟัะธะผะตัั, ัะตัั ะพ ะบะฝะพะฟะบะต Applay)
'SELECTED': 0x00000002,
'FOCUSED': 0x00000004,
'PRESSED': 0x00000008,
'CHECKED': 0x00000010,
'MIXED': 0x00000... | pikuli/uia/adapter/oleacc_h.py | STATE_SYSTEM = {
'UNAVAILABLE': 0x00000001, # ะัะปะธ ััะพั ะฑะธั ะฒ ะฟะพะปะต state ะบะฝะพะฟะบะธ 0, ัะพ ัะตะบัั ะบะฝะพะฟะบะธ ะบัะฐัะฝัะน (ะบ ะฟัะธะผะตัั, ัะตัั ะพ ะบะฝะพะฟะบะต Applay)
'SELECTED': 0x00000002,
'FOCUSED': 0x00000004,
'PRESSED': 0x00000008,
'CHECKED': 0x00000010,
'MIXED': 0x00000... | 0.198996 | 0.134151 |
from typing import Any, Dict, List, Union
from unittest.mock import patch
from sqlmodel import create_engine
from tests.conftest import get_testing_print_function
def check_calls(calls: List[List[Union[str, Dict[str, Any]]]]):
assert calls[0] == ["Before interacting with the database"]
assert calls[1] == [
... | tests/test_tutorial/test_automatic_id_none_refresh/test_tutorial001_tutorial002.py | from typing import Any, Dict, List, Union
from unittest.mock import patch
from sqlmodel import create_engine
from tests.conftest import get_testing_print_function
def check_calls(calls: List[List[Union[str, Dict[str, Any]]]]):
assert calls[0] == ["Before interacting with the database"]
assert calls[1] == [
... | 0.77569 | 0.584093 |
import itertools
import numpy
import networkx as nx
from Queue import Queue
def graph_symmetries(graph):
"""
Finds all symmetries of a graph. This is computationally very expensive
O(N!) where N is the number of nodes in graph.
"""
permutations = [dict(zip(graph.nodes_iter(), perm)) for perm in
... | meb/utils/network/algorithms.py | import itertools
import numpy
import networkx as nx
from Queue import Queue
def graph_symmetries(graph):
"""
Finds all symmetries of a graph. This is computationally very expensive
O(N!) where N is the number of nodes in graph.
"""
permutations = [dict(zip(graph.nodes_iter(), perm)) for perm in
... | 0.598782 | 0.525491 |
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import uuid
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
migrations.Creat... | django_server/holvi_orders/migrations/0001_initial.py |
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import uuid
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
migrations.Creat... | 0.533641 | 0.120698 |
from app.setup import db, msmlw
from datetime import datetime
class User(db.Model):
__tablename__ = 'users'
id = db.Column(db.Integer, primary_key=True)
name = db.Column(db.String(255), nullable=False)
password = db.Column(db.String(255), nullable=False)
created_at = db.Column(db.DateTime, nullable=False, ... | docker/flask/app/app/model/users.py | from app.setup import db, msmlw
from datetime import datetime
class User(db.Model):
__tablename__ = 'users'
id = db.Column(db.Integer, primary_key=True)
name = db.Column(db.String(255), nullable=False)
password = db.Column(db.String(255), nullable=False)
created_at = db.Column(db.DateTime, nullable=False, ... | 0.437103 | 0.071397 |
import os
import logger
from utils import dict_from_file
def state_helper(def_state: dict, path: dict, log) -> tuple:
no_ini = not os.path.isfile(path['settings'])
no_state = not os.path.isfile(path['state'])
if no_state and no_ini:
return def_state, True, True
ini_version, merge, state_save... | src/lib/state_helper.py | import os
import logger
from utils import dict_from_file
def state_helper(def_state: dict, path: dict, log) -> tuple:
no_ini = not os.path.isfile(path['settings'])
no_state = not os.path.isfile(path['state'])
if no_state and no_ini:
return def_state, True, True
ini_version, merge, state_save... | 0.210604 | 0.175432 |
import logging
import os
from abc import ABC
from dataclasses import dataclass
from typing import List
import numpy as np
import onnx
import pyeddl.eddl as eddl
import stringcase
from pyeddl.tensor import Tensor
from slaid.commons.base import ImageInfo
from slaid.models import Factory as BaseFactory
from slaid.models... | slaid/models/eddl.py | import logging
import os
from abc import ABC
from dataclasses import dataclass
from typing import List
import numpy as np
import onnx
import pyeddl.eddl as eddl
import stringcase
from pyeddl.tensor import Tensor
from slaid.commons.base import ImageInfo
from slaid.models import Factory as BaseFactory
from slaid.models... | 0.745954 | 0.364495 |
import numpy as np
from kalman_estimation import (Kalman4ARX, Kalman4FROLS, Selector, get_mat_data, get_terms_matrix, get_txt_data, make_func4K4FROLS, make_linear_func,
plot_term_ERR, save_3Darray, torch4FROLS, update_condidate_terms, save_2Darray)
def update_terms(data_root='data/', d... | tools/core_tools1.py | import numpy as np
from kalman_estimation import (Kalman4ARX, Kalman4FROLS, Selector, get_mat_data, get_terms_matrix, get_txt_data, make_func4K4FROLS, make_linear_func,
plot_term_ERR, save_3Darray, torch4FROLS, update_condidate_terms, save_2Darray)
def update_terms(data_root='data/', d... | 0.414425 | 0.399402 |
from django.shortcuts import render
# Create your views here.
def view_signup(request):
if request.method == 'POST':
form = SignUpForm(request.POST)
if form.is_valid():
user = form.save(commit=False)
user.save()
current_site = get_current_site(request)
... | ehelp/accounts/views.py | from django.shortcuts import render
# Create your views here.
def view_signup(request):
if request.method == 'POST':
form = SignUpForm(request.POST)
if form.is_valid():
user = form.save(commit=False)
user.save()
current_site = get_current_site(request)
... | 0.387459 | 0.078713 |
from simframe.frame.abstractgroup import AbstractGroup
from simframe.frame.field import Field
from simframe.frame.group import Group
from simframe.io.reader import Reader
from simframe.io.writer import Writer
from simframe.utils.color import colorize
from collections import deque
import copy
import numbers
import nump... | simframe/io/writers/namespacewriter.py | from simframe.frame.abstractgroup import AbstractGroup
from simframe.frame.field import Field
from simframe.frame.group import Group
from simframe.io.reader import Reader
from simframe.io.writer import Writer
from simframe.utils.color import colorize
from collections import deque
import copy
import numbers
import nump... | 0.810479 | 0.259591 |
from .rule import Antecedent
from ..betha_node import BethaNode
from ..alpha_node import AlphaNode
from ..rete import Rete
from abc import abstractmethod
from .run_agenda_action import RunAgendaAction
from .add_fact_agenda_action import AddFactAgendaAction
from .assert_fact_action import AssertFactAction
from .retract_... | pbesa/engine/ps/psagent/psagent.py | from .rule import Antecedent
from ..betha_node import BethaNode
from ..alpha_node import AlphaNode
from ..rete import Rete
from abc import abstractmethod
from .run_agenda_action import RunAgendaAction
from .add_fact_agenda_action import AddFactAgendaAction
from .assert_fact_action import AssertFactAction
from .retract_... | 0.433981 | 0.201558 |
from model.knowledgegraph import kg_derive_facts
def load_lg_facts(conn, query):
"""
loads triple-based facts from a SemMedDB and builds the corresponding idx_pmid
idx_pmid stores a idx_subject and a idx_object for each pmid from the query result
the indices store which (subject -> [object1, ..., obje... | model/librarygraph.py | from model.knowledgegraph import kg_derive_facts
def load_lg_facts(conn, query):
"""
loads triple-based facts from a SemMedDB and builds the corresponding idx_pmid
idx_pmid stores a idx_subject and a idx_object for each pmid from the query result
the indices store which (subject -> [object1, ..., obje... | 0.806929 | 0.500244 |
import argparse
import pickle
import random
from copy import copy
from typing import List
import numpy as np
from hfo import GOAL, IN_GAME, CAPTURED_BY_DEFENSE, OUT_OF_TIME, OUT_OF_BOUNDS
import settings
from agents.utils import ServerDownError, get_vertices_around_ball
from agents.plastic_v1.base.hfo_attacking_playe... | agents/plastic_v1/train_offline.py | import argparse
import pickle
import random
from copy import copy
from typing import List
import numpy as np
from hfo import GOAL, IN_GAME, CAPTURED_BY_DEFENSE, OUT_OF_TIME, OUT_OF_BOUNDS
import settings
from agents.utils import ServerDownError, get_vertices_around_ball
from agents.plastic_v1.base.hfo_attacking_playe... | 0.605333 | 0.134435 |
import numpy
from numba import autojit
@autojit(nopython=True)
def poisson1d_GS_SingleItr(nx, dx, p, b):
'''
Gauss-Seidel method for 1D Poisson eq. with Dirichlet BCs at both
ends. Only a single iteration is executed. **blitz** is used.
Parameters:
----------
nx: int, number of grid point... | lessons/05_relax/multigrid_helper.py | import numpy
from numba import autojit
@autojit(nopython=True)
def poisson1d_GS_SingleItr(nx, dx, p, b):
'''
Gauss-Seidel method for 1D Poisson eq. with Dirichlet BCs at both
ends. Only a single iteration is executed. **blitz** is used.
Parameters:
----------
nx: int, number of grid point... | 0.84869 | 0.749294 |
import requests
import logging
class kotsms:
def __init__(self):
self.API_URL = "https://api2.kotsms.com.tw/kotsmsapi-2.php"
self.API_POINT_URL = "https://api.kotsms.com.tw/memberpoint.php"
def login(self, username, passwd):
self.USERNAME = username
self.PASSWORD = <PASSWORD>
... | kotsms.py | import requests
import logging
class kotsms:
def __init__(self):
self.API_URL = "https://api2.kotsms.com.tw/kotsmsapi-2.php"
self.API_POINT_URL = "https://api.kotsms.com.tw/memberpoint.php"
def login(self, username, passwd):
self.USERNAME = username
self.PASSWORD = <PASSWORD>
... | 0.283285 | 0.147187 |
import base64
import os
import random
import re
import string
import time
import xml.sax.saxutils
import requests.exceptions as req_exc
from libs import jenkinslib, quik
from .BasePlugin import BasePlugin, HijackStdOut
class NonCriticalException(Exception):
pass
def xmlescape(data):
return xml.sax.saxuti... | libs/JAF/plugin_DumpCredsViaJob.py | import base64
import os
import random
import re
import string
import time
import xml.sax.saxutils
import requests.exceptions as req_exc
from libs import jenkinslib, quik
from .BasePlugin import BasePlugin, HijackStdOut
class NonCriticalException(Exception):
pass
def xmlescape(data):
return xml.sax.saxuti... | 0.294925 | 0.215258 |
import os
import json
import torch
import torch.nn as nn
import torch.nn.functional as F
from .modules import (
TextEncoder,
DurationPredictor,
RangeParameterPredictor,
GaussianUpsampling,
SamplingWindow,
)
from wavegrad import WaveGrad
from utils.tools import get_mask_from_lengths
... | model/WaveGrad2.py | import os
import json
import torch
import torch.nn as nn
import torch.nn.functional as F
from .modules import (
TextEncoder,
DurationPredictor,
RangeParameterPredictor,
GaussianUpsampling,
SamplingWindow,
)
from wavegrad import WaveGrad
from utils.tools import get_mask_from_lengths
... | 0.824603 | 0.114023 |
import ipaddress
import json
import logging
import math
import os
import socket
import urllib.request
from typing import Optional, Tuple, Dict, Set
import plotly.graph_objects as go
from scapy.layers.inet import traceroute
from scapy.layers.inet6 import traceroute6
marker_size = 10
max_ttl_traceroute = 32
cache_name... | sniff_and_trace/trace.py | import ipaddress
import json
import logging
import math
import os
import socket
import urllib.request
from typing import Optional, Tuple, Dict, Set
import plotly.graph_objects as go
from scapy.layers.inet import traceroute
from scapy.layers.inet6 import traceroute6
marker_size = 10
max_ttl_traceroute = 32
cache_name... | 0.70619 | 0.160266 |
from ..runtimetool import RuntimeTool
from .bashtoolmixin import BashToolMixIn
from .rvmtool import rvmTool
class rubyTool(BashToolMixIn, RuntimeTool):
"""Ruby is a dynamic, open source programming language.
Home: https://www.ruby-lang.org/en/
By default the latest available Ruby binary is used for the followi... | futoin/cid/tool/rubytool.py |
from ..runtimetool import RuntimeTool
from .bashtoolmixin import BashToolMixIn
from .rvmtool import rvmTool
class rubyTool(BashToolMixIn, RuntimeTool):
"""Ruby is a dynamic, open source programming language.
Home: https://www.ruby-lang.org/en/
By default the latest available Ruby binary is used for the followi... | 0.458834 | 0.123339 |
from collections import OrderedDict
from math import inf
from typing import Dict, List, Optional
from typing import OrderedDict as OrderedDictType
from typing import Set
from ordered_set import OrderedSet
from text_selection.greedy_kld_applied import (
greedy_kld_uniform_count, greedy_kld_uniform_default,
gre... | src/text_selection/greedy_kld_export.py | from collections import OrderedDict
from math import inf
from typing import Dict, List, Optional
from typing import OrderedDict as OrderedDictType
from typing import Set
from ordered_set import OrderedSet
from text_selection.greedy_kld_applied import (
greedy_kld_uniform_count, greedy_kld_uniform_default,
gre... | 0.899022 | 0.313302 |
import abc
from collections import namedtuple
from django.conf import settings
from django.template.loader import render_to_string
from django.utils.encoding import force_bytes
from django.utils.http import urlsafe_base64_encode
import core.tasks
from notifications import constants, helpers, models, tokens
Recipient... | notifications/email.py | import abc
from collections import namedtuple
from django.conf import settings
from django.template.loader import render_to_string
from django.utils.encoding import force_bytes
from django.utils.http import urlsafe_base64_encode
import core.tasks
from notifications import constants, helpers, models, tokens
Recipient... | 0.565899 | 0.077343 |
import tvm
from functools import reduce
from tvm import auto_scheduler
from tvm.auto_scheduler.cost_model import RandomModel, XGBModel
from tvm.auto_scheduler.search_policy import SketchPolicy
def establish_task_ansor(
schedule_gen, schedule_app,
measure_opt, task_name):
target_dag = schedule_app.targ... | python/tvm/auto_tensorize/search/ansor_integrate.py | import tvm
from functools import reduce
from tvm import auto_scheduler
from tvm.auto_scheduler.cost_model import RandomModel, XGBModel
from tvm.auto_scheduler.search_policy import SketchPolicy
def establish_task_ansor(
schedule_gen, schedule_app,
measure_opt, task_name):
target_dag = schedule_app.targ... | 0.442637 | 0.153676 |
from django.http import JsonResponse
from collections import Counter
import pandas as pd
import json
from datetime import date, timedelta
from django.contrib.auth.decorators import login_required
from django.utils.decorators import method_decorator
from django.urls import reverse
from django.db.models import Avg, Sum, ... | analyze/views.py | from django.http import JsonResponse
from collections import Counter
import pandas as pd
import json
from datetime import date, timedelta
from django.contrib.auth.decorators import login_required
from django.utils.decorators import method_decorator
from django.urls import reverse
from django.db.models import Avg, Sum, ... | 0.580828 | 0.14448 |
from django.db import models
from django.contrib.auth.models import User
"""
UserWrapper for user account
"""
class UserWrapper(models.Model):
user = models.OneToOneField(User, on_delete=models.CASCADE, null=True)
def __str__(self):
return self.user.username
"""
Tag for contact (e.g. work contact, e... | accounts/models.py | from django.db import models
from django.contrib.auth.models import User
"""
UserWrapper for user account
"""
class UserWrapper(models.Model):
user = models.OneToOneField(User, on_delete=models.CASCADE, null=True)
def __str__(self):
return self.user.username
"""
Tag for contact (e.g. work contact, e... | 0.594551 | 0.095265 |
from __future__ import annotations
import typing
from .signed_transaction import SignedTransaction
from ..account.address import Address
from ..blockchain.network_type import OptionalNetworkType
from ... import util
__all__ = ['SyncAnnounce']
@util.dataclass(frozen=True)
class SyncAnnounce(util.DTO):
"""
Si... | xpxchain/models/transaction/sync_announce.py | from __future__ import annotations
import typing
from .signed_transaction import SignedTransaction
from ..account.address import Address
from ..blockchain.network_type import OptionalNetworkType
from ... import util
__all__ = ['SyncAnnounce']
@util.dataclass(frozen=True)
class SyncAnnounce(util.DTO):
"""
Si... | 0.930726 | 0.254631 |
import numpy as np
import matplotlib.pyplot as plt
from scipy.special import comb
import draw
def calc_4points_bezier_path(sx, sy, syaw, gx, gy, gyaw, offset):
dist = np.hypot(sx - gx, sy - gy) / offset
control_points = np.array(
[[sx, sy],
[sx + dist * np.cos(syaw), sy + dist * np.sin(syaw)... | CurvesGenerator/bezier_path.py | import numpy as np
import matplotlib.pyplot as plt
from scipy.special import comb
import draw
def calc_4points_bezier_path(sx, sy, syaw, gx, gy, gyaw, offset):
dist = np.hypot(sx - gx, sy - gy) / offset
control_points = np.array(
[[sx, sy],
[sx + dist * np.cos(syaw), sy + dist * np.sin(syaw)... | 0.690142 | 0.618147 |
import os
import torch
import tensorflow as tf
import numpy as np
from tqdm import tqdm
from tabulate import tabulate
from utils import check_dir
from models.losses import prototype_loss, knn_loss, lr_loss, scm_loss, svm_loss
from models.model_utils import CheckPointer
from models.model_helpers import get_model
from m... | test_extractor_pa.py | import os
import torch
import tensorflow as tf
import numpy as np
from tqdm import tqdm
from tabulate import tabulate
from utils import check_dir
from models.losses import prototype_loss, knn_loss, lr_loss, scm_loss, svm_loss
from models.model_utils import CheckPointer
from models.model_helpers import get_model
from m... | 0.609524 | 0.276086 |
import json
from nltk.tokenize import RegexpTokenizer
def read_raw_data(filename):
with open(filename, "r", encoding="utf8") as data_file:
data_file_lines = data_file.readlines()
recipe_list = []
for line in data_file_lines:
recipe_list.append(json.loads(line))
return recipe_list
def... | py-data-preprocess.py | import json
from nltk.tokenize import RegexpTokenizer
def read_raw_data(filename):
with open(filename, "r", encoding="utf8") as data_file:
data_file_lines = data_file.readlines()
recipe_list = []
for line in data_file_lines:
recipe_list.append(json.loads(line))
return recipe_list
def... | 0.186428 | 0.163212 |
from scipy.integrate import odeint
import numpy
import matplotlib.pyplot as plt
# constantes de vitesse
k1 = 10**8
km1 = 10**2
k2 = 10**10
km2 = 10**2
k3 = 10**3
km3 = 10**16
k5 = 1.47*(10**6)
k6 = 1.4*(10**9)
k7 = 4.4*(10**9)
k8 = 10**7
# autres constantes
Iabs = 10**(-7) # variable
phi_T ... | Ebbesen.py | from scipy.integrate import odeint
import numpy
import matplotlib.pyplot as plt
# constantes de vitesse
k1 = 10**8
km1 = 10**2
k2 = 10**10
km2 = 10**2
k3 = 10**3
km3 = 10**16
k5 = 1.47*(10**6)
k6 = 1.4*(10**9)
k7 = 4.4*(10**9)
k8 = 10**7
# autres constantes
Iabs = 10**(-7) # variable
phi_T ... | 0.376852 | 0.485295 |
import os
import re
import requests
import subprocess
from ga4gh.drs.exceptions.drs_exceptions import DownloadSubmethodException
from ga4gh.drs.util.method_types.method_type import DownloadSubmethod
from ga4gh.drs.util.method_types.method_type import MethodType
class GS(MethodType):
"""Download DRS object bytes ac... | ga4gh/drs/util/method_types/gs.py | import os
import re
import requests
import subprocess
from ga4gh.drs.exceptions.drs_exceptions import DownloadSubmethodException
from ga4gh.drs.util.method_types.method_type import DownloadSubmethod
from ga4gh.drs.util.method_types.method_type import MethodType
class GS(MethodType):
"""Download DRS object bytes ac... | 0.635109 | 0.244397 |
import asyncio
from datetime import timedelta
from unittest.mock import patch
from bond_api import BPUPSubscriptions, DeviceType
from openpeerpower import core
from openpeerpower.components import fan
from openpeerpower.components.fan import DOMAIN as FAN_DOMAIN
from openpeerpower.const import EVENT_OPENPEERPOWER_STO... | tests/components/bond/test_entity.py | import asyncio
from datetime import timedelta
from unittest.mock import patch
from bond_api import BPUPSubscriptions, DeviceType
from openpeerpower import core
from openpeerpower.components import fan
from openpeerpower.components.fan import DOMAIN as FAN_DOMAIN
from openpeerpower.const import EVENT_OPENPEERPOWER_STO... | 0.78016 | 0.41561 |
class ServiceDebugger(object):
__enable_debug = True
@classmethod
def set_debug(cls, enable=True):
cls.__enable_debug = enable
@classmethod
def debug(cls, show_form=True, show_param=True, show_response=True, count_time=True, content_limit=100, disable=False):
from flask import requ... | FactorKeeper/Util/ServiceUtil/Debug.py | class ServiceDebugger(object):
__enable_debug = True
@classmethod
def set_debug(cls, enable=True):
cls.__enable_debug = enable
@classmethod
def debug(cls, show_form=True, show_param=True, show_response=True, count_time=True, content_limit=100, disable=False):
from flask import requ... | 0.359027 | 0.07658 |
from typing import Generator
from ..models import (
ClassRoom, Subject,
Teacher, Student, Group, Service,
Source, EventLocation,
)
from django import forms
from functools import partial
DateInput = partial(
forms.DateInput,
{'class': 'datepicker datepicker_now form-control'}
)
DateInputEmpty = par... | day_ok/schedule/forms/utils.py | from typing import Generator
from ..models import (
ClassRoom, Subject,
Teacher, Student, Group, Service,
Source, EventLocation,
)
from django import forms
from functools import partial
DateInput = partial(
forms.DateInput,
{'class': 'datepicker datepicker_now form-control'}
)
DateInputEmpty = par... | 0.507324 | 0.120646 |
import random
import string
from model.manage_projects_m import Project
def test_create_project(app):
app.session.login("administrator", "root")
# ััะฝัะธั ะดะปั ัะพะทะดะฐะฝะธั ัะปััะฐะนะฝะพะน ะฟะพัะปะตะดะพะฒะฐัะตะปัะฝะพััะธ ะทะฝะฐัะตะฝะธะน
def random_string(prefix, maxlen):
symbols = string.ascii_letters + string.digits
re... | test/test_manage_projects.py | import random
import string
from model.manage_projects_m import Project
def test_create_project(app):
app.session.login("administrator", "root")
# ััะฝัะธั ะดะปั ัะพะทะดะฐะฝะธั ัะปััะฐะนะฝะพะน ะฟะพัะปะตะดะพะฒะฐัะตะปัะฝะพััะธ ะทะฝะฐัะตะฝะธะน
def random_string(prefix, maxlen):
symbols = string.ascii_letters + string.digits
re... | 0.264928 | 0.358185 |
from django.shortcuts import render, get_object_or_404
from django.http import HttpResponseRedirect, HttpResponse
from django.core.urlresolvers import reverse
from django.views import generic
from .models import Question, Choice
from django.utils import timezone
from .forms import SearchForm
from django.forms.models i... | polls/views.py | from django.shortcuts import render, get_object_or_404
from django.http import HttpResponseRedirect, HttpResponse
from django.core.urlresolvers import reverse
from django.views import generic
from .models import Question, Choice
from django.utils import timezone
from .forms import SearchForm
from django.forms.models i... | 0.33546 | 0.083217 |
import sys
from os.path import exists
sys.path.append('../..')
import numpy as np
from loguru import logger
from stable_baselines3 import DQN
from stable_baselines3.common.vec_env import DummyVecEnv
from stable_baselines3.common.monitor import Monitor
from vimms.Common import POSITIVE, load_obj, save_obj
from vimms... | vimms_gym/debug_training.py | import sys
from os.path import exists
sys.path.append('../..')
import numpy as np
from loguru import logger
from stable_baselines3 import DQN
from stable_baselines3.common.vec_env import DummyVecEnv
from stable_baselines3.common.monitor import Monitor
from vimms.Common import POSITIVE, load_obj, save_obj
from vimms... | 0.311113 | 0.234177 |
from __future__ import absolute_import
# development system imports
import os
import random
import uuid
from datetime import date, datetime, timedelta
from decimal import Decimal
from django.conf import settings
from django.contrib.auth.models import AbstractUser
from django.contrib.humanize.templatetags import human... | afriproperty/property/models.py | from __future__ import absolute_import
# development system imports
import os
import random
import uuid
from datetime import date, datetime, timedelta
from decimal import Decimal
from django.conf import settings
from django.contrib.auth.models import AbstractUser
from django.contrib.humanize.templatetags import human... | 0.499512 | 0.101545 |
from culture import Culture
import random
class Character():
def __init__(self, models, culture, residence, age):
self.culture = culture
self.models = models
self.place = residence
# Fullname will later always be set to highest title
self.age = age
self.state = "ali... | characters.py |
from culture import Culture
import random
class Character():
def __init__(self, models, culture, residence, age):
self.culture = culture
self.models = models
self.place = residence
# Fullname will later always be set to highest title
self.age = age
self.state = "ali... | 0.35869 | 0.168207 |
try:
import tkinter
from tkinter.filedialog import askopenfilename
except ImportError:
import Tkinter as tkinter
from tkFileDialog import askopenfilename
import os
import webbrowser
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
class Gui(object):
"""
The class for the Graphi... | pygem/gui.py | try:
import tkinter
from tkinter.filedialog import askopenfilename
except ImportError:
import Tkinter as tkinter
from tkFileDialog import askopenfilename
import os
import webbrowser
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
class Gui(object):
"""
The class for the Graphi... | 0.50293 | 0.220248 |
from __future__ import absolute_import
from django.utils import timezone
from crispy_forms.layout import \
HTML, Layout, Field, Fieldset, MultiField, Div
from crispy_forms.bootstrap import PrependedText
from django.contrib.auth import authenticate, get_user_model, login
from django.contrib.auth.models import User... | leonardo_module_kkadavy/forms.py | from __future__ import absolute_import
from django.utils import timezone
from crispy_forms.layout import \
HTML, Layout, Field, Fieldset, MultiField, Div
from crispy_forms.bootstrap import PrependedText
from django.contrib.auth import authenticate, get_user_model, login
from django.contrib.auth.models import User... | 0.451568 | 0.083628 |
import os
import sys
import signal
from math import ceil
from wlauto import ExtensionLoader, Command, settings
from wlauto.common.resources import Executable
from wlauto.core.resource import NO_ONE
from wlauto.core.resolver import ResourceResolver
from wlauto.core.configuration import RunConfiguration
from wlauto.cor... | wlauto/commands/record.py |
import os
import sys
import signal
from math import ceil
from wlauto import ExtensionLoader, Command, settings
from wlauto.common.resources import Executable
from wlauto.core.resource import NO_ONE
from wlauto.core.resolver import ResourceResolver
from wlauto.core.configuration import RunConfiguration
from wlauto.cor... | 0.440951 | 0.115836 |
from .fhirbase import fhirbase
class Task(fhirbase):
"""
A task to be performed.
Attributes:
resourceType: This is a Task resource
identifier: The business identifier for this task.
definitionUri: A reference to a formal or informal definition of the
task. For example... | cardea/fhir/Task.py | from .fhirbase import fhirbase
class Task(fhirbase):
"""
A task to be performed.
Attributes:
resourceType: This is a Task resource
identifier: The business identifier for this task.
definitionUri: A reference to a formal or informal definition of the
task. For example... | 0.770465 | 0.451266 |
import torch.nn.functional as F
import torch
import torchvision
from util.unnormalise import UnNormalize
import numpy as np
from PIL import Image
from util.params import Opion
import os
unnorm = UnNormalize(mean=[0.5] * 3, std=[0.5] * 3)
opt = Opion()
def img2photo(imgs):
return ((imgs+1)*127.5).tr... | final/csa/util/generate_images.py | import torch.nn.functional as F
import torch
import torchvision
from util.unnormalise import UnNormalize
import numpy as np
from PIL import Image
from util.params import Opion
import os
unnorm = UnNormalize(mean=[0.5] * 3, std=[0.5] * 3)
opt = Opion()
def img2photo(imgs):
return ((imgs+1)*127.5).tr... | 0.235548 | 0.257546 |
# Copyright: (c) 2020, <NAME> <<EMAIL>>
# GNU General Public License v3.0+ (see LICENSE or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {
"metadata_version": "1.1",
"status": ["preview"],
"supported_by":... | intro-ansible/venv3/lib/python3.8/site-packages/ansible_collections/cisco/mso/plugins/modules/mso_dhcp_relay_policy_provider.py |
# Copyright: (c) 2020, <NAME> <<EMAIL>>
# GNU General Public License v3.0+ (see LICENSE or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {
"metadata_version": "1.1",
"status": ["preview"],
"supported_by":... | 0.772874 | 0.236373 |
import logging
from kazoo.client import KazooClient
from full_incidents.hive_to_dwh.hive_connector import create_hive_connector
logger = logging.getLogger('hive_to_dwh')
def extract(hive_settings, zookeeper_settings, extraction_start_date):
zk = KazooClient(
hosts=zookeeper_settings)
... | full_incidents/hive_to_dwh/extract.py | import logging
from kazoo.client import KazooClient
from full_incidents.hive_to_dwh.hive_connector import create_hive_connector
logger = logging.getLogger('hive_to_dwh')
def extract(hive_settings, zookeeper_settings, extraction_start_date):
zk = KazooClient(
hosts=zookeeper_settings)
... | 0.24899 | 0.05621 |
from .pepper import *
from .pepper_launch import *
from .pepper_quit import *
from .pepper_autocomplete import *
class PepperMainMenuCommand(sublime_plugin.ApplicationCommand):
def run(self):
main_menu_commands = [
PepperLaunchCommand,
PepperAutocomplete,
PepperQuitComm... | pepper_main_menu.py | from .pepper import *
from .pepper_launch import *
from .pepper_quit import *
from .pepper_autocomplete import *
class PepperMainMenuCommand(sublime_plugin.ApplicationCommand):
def run(self):
main_menu_commands = [
PepperLaunchCommand,
PepperAutocomplete,
PepperQuitComm... | 0.308607 | 0.04703 |
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
def split(
df, cmpframe=0, distfactor=1.5, show=False, add_start=False, add_end=False
):
if cmpframe == -1:
start = df[-2:-1]
else:
start = df[cmpframe : cmpframe + 1]
d = dist(start, df).sum(axis=1)
valleys = f... | src/data/split.py | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
def split(
df, cmpframe=0, distfactor=1.5, show=False, add_start=False, add_end=False
):
if cmpframe == -1:
start = df[-2:-1]
else:
start = df[cmpframe : cmpframe + 1]
d = dist(start, df).sum(axis=1)
valleys = f... | 0.513912 | 0.597197 |
import os
import re
import numpy as np
class DebattenAnnotatedDatacleaner:
"""
Takes the annotated programs, ...
"""
# Initialises class and input, output locations
def __init__(self, loc_ann=None, loc_out=None):
self.loc_ann_subtitles = loc_ann if loc_ann is not None else []
s... | util/DebattenAnnotatedDatacleaner.py | import os
import re
import numpy as np
class DebattenAnnotatedDatacleaner:
"""
Takes the annotated programs, ...
"""
# Initialises class and input, output locations
def __init__(self, loc_ann=None, loc_out=None):
self.loc_ann_subtitles = loc_ann if loc_ann is not None else []
s... | 0.248079 | 0.196209 |
import unittest
import struct
from uefi_firmware import efi_compressor
class CompressionTest(unittest.TestCase):
def _test_compress(self, compress_algorithm):
default_buffer = b"AAAAAAAA" * 90
compressed_buffer = compress_algorithm(
default_buffer, len(default_buffer))
self.... | tests/test_compression.py | import unittest
import struct
from uefi_firmware import efi_compressor
class CompressionTest(unittest.TestCase):
def _test_compress(self, compress_algorithm):
default_buffer = b"AAAAAAAA" * 90
compressed_buffer = compress_algorithm(
default_buffer, len(default_buffer))
self.... | 0.451085 | 0.455804 |
import sys
sys.path.append("../..")
from lfortran.asr import asr
from lfortran.asr.asr_check import verify_asr
from lfortran.asr.asr_to_ast import asr_to_ast
from lfortran.ast.ast_to_src import ast_to_src
from lfortran.adapters.gfortran.mod import mod_to_asr
from lfortran.asr.builder import (make_translation_unit,
... | integration_tests/interop/wrap2.py | import sys
sys.path.append("../..")
from lfortran.asr import asr
from lfortran.asr.asr_check import verify_asr
from lfortran.asr.asr_to_ast import asr_to_ast
from lfortran.ast.ast_to_src import ast_to_src
from lfortran.adapters.gfortran.mod import mod_to_asr
from lfortran.asr.builder import (make_translation_unit,
... | 0.251188 | 0.201165 |
๏ปฟimport time
import csv
import codecs
import HTML
from zabbix.api import ZabbixAPI
from datetime import timedelta
from datetime import datetime
from itertools import repeat
def zabbix_dane_tabelka(IP):
hID = []
dane_z_zabbix = {'hostname':{}, 'lan':{}, 'loop':{}, 'last_clock_loop':{}}
_ = {}
zapi = Za... | trzeci.py | ๏ปฟimport time
import csv
import codecs
import HTML
from zabbix.api import ZabbixAPI
from datetime import timedelta
from datetime import datetime
from itertools import repeat
def zabbix_dane_tabelka(IP):
hID = []
dane_z_zabbix = {'hostname':{}, 'lan':{}, 'loop':{}, 'last_clock_loop':{}}
_ = {}
zapi = Za... | 0.136522 | 0.19112 |
import abc
import math
from generala import Category
class Number(Category):
def __init__(self, n):
self._n = n
def score(self, counts, roll, open_categories):
return self._n * counts[self._n-1]
def __str__(self):
return "{}s".format(self._n)
class MajorHand(Category):
de... | generala/categories.py | import abc
import math
from generala import Category
class Number(Category):
def __init__(self, n):
self._n = n
def score(self, counts, roll, open_categories):
return self._n * counts[self._n-1]
def __str__(self):
return "{}s".format(self._n)
class MajorHand(Category):
de... | 0.718496 | 0.243991 |
from pandas import DataFrame, read_csv
from thermo.utils import ROOT
def to_type(df: DataFrame, dtype: str = "float32") -> DataFrame:
"""Convert all non-string columns to a different data type.
E.g. float64 and int to float32.
"""
df_not_str = df.select_dtypes(exclude=[object]).astype(dtype)
df_s... | thermo/data/load.py | from pandas import DataFrame, read_csv
from thermo.utils import ROOT
def to_type(df: DataFrame, dtype: str = "float32") -> DataFrame:
"""Convert all non-string columns to a different data type.
E.g. float64 and int to float32.
"""
df_not_str = df.select_dtypes(exclude=[object]).astype(dtype)
df_s... | 0.90904 | 0.613989 |
import sys
import argparse
import logging
from . import CLI, VERSION, DESCRIPTION
from . import common, exceptions, commands
log = logging.getLogger(__name__)
def main(args=None, function=None): # pylint: disable=too-many-statements
"""Process command-line arguments and run the program."""
# Shared option... | gitman/cli.py | import sys
import argparse
import logging
from . import CLI, VERSION, DESCRIPTION
from . import common, exceptions, commands
log = logging.getLogger(__name__)
def main(args=None, function=None): # pylint: disable=too-many-statements
"""Process command-line arguments and run the program."""
# Shared option... | 0.389314 | 0.073364 |
import pandas as pd
import numpy as np
def compute_portvals(market, orders, commission=0.00, impact=0.000, start_val=100000):
"""
market : Market_DataFrame returned by actions.get_stock_data
orders : Dataframe of format
{
'date': trading day,
<TICKER>: <ORDER>
}
... | quantea/marketsim/portvals.py | import pandas as pd
import numpy as np
def compute_portvals(market, orders, commission=0.00, impact=0.000, start_val=100000):
"""
market : Market_DataFrame returned by actions.get_stock_data
orders : Dataframe of format
{
'date': trading day,
<TICKER>: <ORDER>
}
... | 0.305386 | 0.383064 |
from flask import request, render_template, jsonify
from flask_jwt_extended import jwt_required, create_access_token, get_jwt_identity, get_raw_jwt
from app import app, db, jwt
from app.models import User, Asset
from sqlalchemy.exc import IntegrityError
from assets import stocks, cryptocurrency, fiat, stocks_options, c... | backend/app/endpoints.py | from flask import request, render_template, jsonify
from flask_jwt_extended import jwt_required, create_access_token, get_jwt_identity, get_raw_jwt
from app import app, db, jwt
from app.models import User, Asset
from sqlalchemy.exc import IntegrityError
from assets import stocks, cryptocurrency, fiat, stocks_options, c... | 0.404743 | 0.074131 |
from __future__ import absolute_import
import re # noqa: F401
import sys # noqa: F401
import six # noqa: F401
import nulltype # noqa: F401
from onshape_client.oas.model_utils import ( # noqa: F401
ModelComposed,
ModelNormal,
ModelSimple,
date,
datetime,
file_type,
int,
none_type,
... | python/onshape_client/oas/models/bt_revision_info.py | from __future__ import absolute_import
import re # noqa: F401
import sys # noqa: F401
import six # noqa: F401
import nulltype # noqa: F401
from onshape_client.oas.model_utils import ( # noqa: F401
ModelComposed,
ModelNormal,
ModelSimple,
date,
datetime,
file_type,
int,
none_type,
... | 0.474388 | 0.153613 |
from __future__ import absolute_import, unicode_literals, division
import subprocess
import gulpless
import logging
import shutil
import re
import os
UGLIFY = "uglifyjs"
TSC = "tsc"
LESSC = "lessc"
AUTOPREFIXER = "autoprefixer"
IMAGEMIN = "imagemin"
if os.name != "posix":
UGLIFY += ".cmd"
TSC += ".cmd"
... | examples/build.py | from __future__ import absolute_import, unicode_literals, division
import subprocess
import gulpless
import logging
import shutil
import re
import os
UGLIFY = "uglifyjs"
TSC = "tsc"
LESSC = "lessc"
AUTOPREFIXER = "autoprefixer"
IMAGEMIN = "imagemin"
if os.name != "posix":
UGLIFY += ".cmd"
TSC += ".cmd"
... | 0.401101 | 0.113432 |
from unittest.mock import patch
from django.contrib.auth.models import User
from django.http import HttpRequest
from django.test import Client, TestCase
from django.urls import resolve, reverse
from model_bakery import baker as mommy
import responses
from pyjobs.core.models import Job, Profile, JobApplication
... | pyjobs/core/tests/test_job_challenge.py | from unittest.mock import patch
from django.contrib.auth.models import User
from django.http import HttpRequest
from django.test import Client, TestCase
from django.urls import resolve, reverse
from model_bakery import baker as mommy
import responses
from pyjobs.core.models import Job, Profile, JobApplication
... | 0.400632 | 0.195729 |
from django.contrib import admin
from django.contrib.auth.admin import UserAdmin
from django.utils.translation import ugettext_lazy as _
from accounts.models import User, UserSetting, UserProfile, UserSchool, UserLicense, UserEmployer, UserCertification
class CustomUserAdmin(UserAdmin):
list_display = ("id", "em... | backend/accounts/admin.py | from django.contrib import admin
from django.contrib.auth.admin import UserAdmin
from django.utils.translation import ugettext_lazy as _
from accounts.models import User, UserSetting, UserProfile, UserSchool, UserLicense, UserEmployer, UserCertification
class CustomUserAdmin(UserAdmin):
list_display = ("id", "em... | 0.289372 | 0.1273 |
import json
import pytest
from von_anchor.a2a.diddoc import DIDDoc
from von_anchor.error import AbsentDIDDocItem
from von_anchor.frill import Ink, ppjson
@pytest.mark.asyncio
async def test_a2a():
print(Ink.YELLOW('\n\n== Testing DID Doc wranglers =='))
# One authn key by reference
dd_in = {
'@c... | test/test_a2a.py | import json
import pytest
from von_anchor.a2a.diddoc import DIDDoc
from von_anchor.error import AbsentDIDDocItem
from von_anchor.frill import Ink, ppjson
@pytest.mark.asyncio
async def test_a2a():
print(Ink.YELLOW('\n\n== Testing DID Doc wranglers =='))
# One authn key by reference
dd_in = {
'@c... | 0.345989 | 0.29088 |
import json
from . import consts
from collections import OrderedDict
from identitykeys import is_valid_idpub, PublicIdentityKey
class IdentityNotFoundException(Exception):
pass
class Identity:
def __init__(self, did, chain_id):
self.did = did
self.chain_id = chain_id
self.active_key... | src/models.py | import json
from . import consts
from collections import OrderedDict
from identitykeys import is_valid_idpub, PublicIdentityKey
class IdentityNotFoundException(Exception):
pass
class Identity:
def __init__(self, did, chain_id):
self.did = did
self.chain_id = chain_id
self.active_key... | 0.625552 | 0.135518 |
from enum import IntEnum
from typing import TYPE_CHECKING
from ooo.oenv.env_const import UNO_ENVIRONMENT, UNO_RUNTIME
_DYNAMIC = False
if (not TYPE_CHECKING) and UNO_RUNTIME and UNO_ENVIRONMENT:
_DYNAMIC = True
if not TYPE_CHECKING and _DYNAMIC:
from com.sun.star.animations import AnimationFill as AnimationFil... | ooobuild/dyn/animations/animation_fill.py | from enum import IntEnum
from typing import TYPE_CHECKING
from ooo.oenv.env_const import UNO_ENVIRONMENT, UNO_RUNTIME
_DYNAMIC = False
if (not TYPE_CHECKING) and UNO_RUNTIME and UNO_ENVIRONMENT:
_DYNAMIC = True
if not TYPE_CHECKING and _DYNAMIC:
from com.sun.star.animations import AnimationFill as AnimationFil... | 0.667473 | 0.194081 |
from corpuscula import CorpusDict
from junky import get_func_params
from mordl.base_tagger import BaseTagger
from mordl.defaults import BATCH_SIZE, CDICT_COEF_THRESH ,LOG_FILE, \
TRAIN_BATCH_SIZE
from mordl.upos_tagger_model import UposTaggerModel
import time
_CDICT_COEF_THRESH = .99
class... | mordl/upos_tagger.py | from corpuscula import CorpusDict
from junky import get_func_params
from mordl.base_tagger import BaseTagger
from mordl.defaults import BATCH_SIZE, CDICT_COEF_THRESH ,LOG_FILE, \
TRAIN_BATCH_SIZE
from mordl.upos_tagger_model import UposTaggerModel
import time
_CDICT_COEF_THRESH = .99
class... | 0.866683 | 0.341143 |
import os
import time
from random import randint
from urllib.parse import urlparse
from bs4 import BeautifulSoup
from urllib3 import ProxyManager, make_headers, PoolManager, disable_warnings
from selenium import webdriver
class InfinityRequester:
def __init__(self, url,parent_element, parent_element_classes, chi... | Requests/InfinityRequester.py | import os
import time
from random import randint
from urllib.parse import urlparse
from bs4 import BeautifulSoup
from urllib3 import ProxyManager, make_headers, PoolManager, disable_warnings
from selenium import webdriver
class InfinityRequester:
def __init__(self, url,parent_element, parent_element_classes, chi... | 0.214445 | 0.086671 |
import operator
import re
import sys
import time
def get_word_counts(words, ignored_words):
word_counts = {}
ignored_words_dict = {}
# optimal to make a dictionary from the ignored words list
for ignored_word in ignored_words:
ignored_words_dict[ignored_word] = ignored_word
for word in w... | word_frequency/word_frequency.py | import operator
import re
import sys
import time
def get_word_counts(words, ignored_words):
word_counts = {}
ignored_words_dict = {}
# optimal to make a dictionary from the ignored words list
for ignored_word in ignored_words:
ignored_words_dict[ignored_word] = ignored_word
for word in w... | 0.192009 | 0.116814 |
import time
import random
import click
from pynput.keyboard import Key, Listener
from click import echo
class Trigger:
def __init__(self, key_list, verbose=False) -> None:
self.index = 0
self.keys = key_list
self.list = []
self.verbose = verbose
def return_key(self, key):
... | scripted_demos/utilities.py | import time
import random
import click
from pynput.keyboard import Key, Listener
from click import echo
class Trigger:
def __init__(self, key_list, verbose=False) -> None:
self.index = 0
self.keys = key_list
self.list = []
self.verbose = verbose
def return_key(self, key):
... | 0.438304 | 0.112356 |
import logging
from typing import Optional, Tuple
from wiki_music.gui_lib.qt_importer import (
QBuffer, QByteArray, QEvent, QImage, QIODevice, QLabel, QPixmap, QPoint,
QRect, QRubberBand, QSize, QSizePolicy, QStyleFactory, Qt, Signal)
logging.getLogger(__name__)
__all__ = ["ResizablePixmap", "SelectablePixm... | wiki_music/gui_lib/custom_classes/pictures.py |
import logging
from typing import Optional, Tuple
from wiki_music.gui_lib.qt_importer import (
QBuffer, QByteArray, QEvent, QImage, QIODevice, QLabel, QPixmap, QPoint,
QRect, QRubberBand, QSize, QSizePolicy, QStyleFactory, Qt, Signal)
logging.getLogger(__name__)
__all__ = ["ResizablePixmap", "SelectablePixm... | 0.929444 | 0.373904 |
import cv2
import pickle
import random
import numpy as np
def load_images_data(img_ids, images_data):
filenames = []
captions = []
for img_id in img_ids:
filenames.append(images_data[img_id]['file_name'])
captions.append(images_data[img_id]['captions'])
return (filenames, captions)
... | dataset/utils.py | import cv2
import pickle
import random
import numpy as np
def load_images_data(img_ids, images_data):
filenames = []
captions = []
for img_id in img_ids:
filenames.append(images_data[img_id]['file_name'])
captions.append(images_data[img_id]['captions'])
return (filenames, captions)
... | 0.586641 | 0.495972 |
from flask import Blueprint, jsonify, request
from flask_cors import cross_origin
from battleship import db
from battleship.helpers import OK_REQUEST, BAD_REQUEST, CREATED, \
UNAUTHORIZED, \
add_then_commit
from battleship.models import Account, Coords, Game
# Create new flask blueprint
game = Blueprint('game', __n... | battleship/game/views.py | from flask import Blueprint, jsonify, request
from flask_cors import cross_origin
from battleship import db
from battleship.helpers import OK_REQUEST, BAD_REQUEST, CREATED, \
UNAUTHORIZED, \
add_then_commit
from battleship.models import Account, Coords, Game
# Create new flask blueprint
game = Blueprint('game', __n... | 0.377082 | 0.077274 |
from django.shortcuts import render
from django.views.generic.list import ListView
from mainApp.models import Faculty
import teachers, rooms, lesson
def index(request):
return render(request, 'mainApp/index.html')
def instruments(request):
instruemnts_name = request.GET.get('name') or []
facultys = Facul... | mainApp/views.py | from django.shortcuts import render
from django.views.generic.list import ListView
from mainApp.models import Faculty
import teachers, rooms, lesson
def index(request):
return render(request, 'mainApp/index.html')
def instruments(request):
instruemnts_name = request.GET.get('name') or []
facultys = Facul... | 0.254972 | 0.140189 |
import numpy as np
import matplotlib
import os
import glob
from tensorflow.keras.preprocessing import image
import PIL
import matplotlib.pyplot as plt
PIL.Image.MAX_IMAGE_PIXELS = 933120000
masks_folder = "F:/Datasets/DigestPath/masks"
images_folder = "F:/Datasets/DigestPath/images"
outfolder = "F:/Datasets/DigestPat... | DigestPath/collect_masks_optimized.py | import numpy as np
import matplotlib
import os
import glob
from tensorflow.keras.preprocessing import image
import PIL
import matplotlib.pyplot as plt
PIL.Image.MAX_IMAGE_PIXELS = 933120000
masks_folder = "F:/Datasets/DigestPath/masks"
images_folder = "F:/Datasets/DigestPath/images"
outfolder = "F:/Datasets/DigestPat... | 0.206094 | 0.441492 |
from datetime import datetime, timedelta
from rx.concurrency import Scheduler, CurrentThreadScheduler
def test_currentthread_now():
res = Scheduler.now() - datetime.utcnow()
assert res < timedelta(milliseconds=1000)
def test_currentthread_scheduleaction():
scheduler = CurrentThreadScheduler()
ran = F... | tests/test_currentthreadscheduler.py | from datetime import datetime, timedelta
from rx.concurrency import Scheduler, CurrentThreadScheduler
def test_currentthread_now():
res = Scheduler.now() - datetime.utcnow()
assert res < timedelta(milliseconds=1000)
def test_currentthread_scheduleaction():
scheduler = CurrentThreadScheduler()
ran = F... | 0.639849 | 0.410756 |
import argparse
import json
import mqttClient as mqc
import time
def on_login(users):
convertedUsers = []
for user in users:
loggedInUser = loggedInUsers.get(user)
if loggedInUser is None:
loggedInUser = {"count":0,"ids":[]}
... | tools/mqttMessageAggregator.py | import argparse
import json
import mqttClient as mqc
import time
def on_login(users):
convertedUsers = []
for user in users:
loggedInUser = loggedInUsers.get(user)
if loggedInUser is None:
loggedInUser = {"count":0,"ids":[]}
... | 0.106667 | 0.050191 |
import docker
import subprocess
import time
from app.config_const import *
#SETUP sul SERVER DOCKER:
# rimuovi il docker pid: sudo rm /var/run/docker.pid
# stoppa il servizio docker: sudo systemctl stop docker
# starta il demone docker sulla tua porta: sudo dockerd -H tcp://0.0.0.0:2375 -H unix:///var/run/docker.sock... | app/setup_docker_client.py | import docker
import subprocess
import time
from app.config_const import *
#SETUP sul SERVER DOCKER:
# rimuovi il docker pid: sudo rm /var/run/docker.pid
# stoppa il servizio docker: sudo systemctl stop docker
# starta il demone docker sulla tua porta: sudo dockerd -H tcp://0.0.0.0:2375 -H unix:///var/run/docker.sock... | 0.047459 | 0.061115 |
import RPi.GPIO as GPIO
import os
import time
from datetime import datetime
GPIO.setmode(GPIO.BCM)
#do not use
#PIN_FACTORY_RESET_17 = 17 # factory reset
#PIN_UPS_PICO_1 = 27
#PIN_UPS_PICO_2 = 22
PIN_COM = 25
PIN_POWER_PRESENT = 22
#GPIO_10 True if SpectrooUPS installed
PIN_ID=10
GPIO.setwarnings(False)
GPIO.setup(... | spectroo_ups.py | import RPi.GPIO as GPIO
import os
import time
from datetime import datetime
GPIO.setmode(GPIO.BCM)
#do not use
#PIN_FACTORY_RESET_17 = 17 # factory reset
#PIN_UPS_PICO_1 = 27
#PIN_UPS_PICO_2 = 22
PIN_COM = 25
PIN_POWER_PRESENT = 22
#GPIO_10 True if SpectrooUPS installed
PIN_ID=10
GPIO.setwarnings(False)
GPIO.setup(... | 0.047272 | 0.084682 |
import datetime
from typing import Dict, List, Optional
from pydantic import constr, Field, root_validator, StrictStr, validator
from aspen.api.schemas.base import BaseRequest, BaseResponse
from aspen.database.models import TreeType
# What kinds of ondemand nextstrain builds do we support?
PHYLO_TREE_TYPES = [
T... | src/backend/aspen/api/schemas/phylo_runs.py | import datetime
from typing import Dict, List, Optional
from pydantic import constr, Field, root_validator, StrictStr, validator
from aspen.api.schemas.base import BaseRequest, BaseResponse
from aspen.database.models import TreeType
# What kinds of ondemand nextstrain builds do we support?
PHYLO_TREE_TYPES = [
T... | 0.870886 | 0.323727 |
from django.http import HttpResponse
from django.shortcuts import get_object_or_404
from django.utils.tzinfo import LocalTimezone
from woodstock.models import EventPart
from woodstock import settings
import icalendar
import datetime
import random
import hashlib
def _event_part_ics(event_parts):
cal = icalendar.... | woodstock/views/ics.py | from django.http import HttpResponse
from django.shortcuts import get_object_or_404
from django.utils.tzinfo import LocalTimezone
from woodstock.models import EventPart
from woodstock import settings
import icalendar
import datetime
import random
import hashlib
def _event_part_ics(event_parts):
cal = icalendar.... | 0.367384 | 0.089614 |
import argparse
import pandas as pd
from tqdm import tqdm
from PIL import Image
import numpy as np
from contextualized_topic_models.datasets.dataset import CTMDataset
from sklearn.metrics.pairwise import cosine_similarity
from utils import load_model
from sentence_transformers import SentenceTransformer, util
import pi... | make_submission.py | import argparse
import pandas as pd
from tqdm import tqdm
from PIL import Image
import numpy as np
from contextualized_topic_models.datasets.dataset import CTMDataset
from sklearn.metrics.pairwise import cosine_similarity
from utils import load_model
from sentence_transformers import SentenceTransformer, util
import pi... | 0.144752 | 0.155463 |
from cam_status import cputemp
from cam_status import temp_sensor
import time
from datetime import timedelta
from uptime import uptime
import os
import psutil
import subprocess
import re
import shutil
def time_string(include_timezone):
if include_timezone:
return time.strftime('%Y-%m-%d %H:%M:%S %Z')
else:
... | cam_pi/cam_status/cam_status.py | from cam_status import cputemp
from cam_status import temp_sensor
import time
from datetime import timedelta
from uptime import uptime
import os
import psutil
import subprocess
import re
import shutil
def time_string(include_timezone):
if include_timezone:
return time.strftime('%Y-%m-%d %H:%M:%S %Z')
else:
... | 0.253122 | 0.108566 |
# In[10]:
import numpy as np
import pandas as pd
loandata = pd.DataFrame(pd.read_excel('D:\data analysis\Data capture\loandata.xlsx'))
# In[11]:
loandata
# In[31]:
loandata.duplicated().value_counts()
# In[13]:
loandata.drop_duplicates()
# In[14]:
loandata['loan_amnt'].isnull().value_counts()
# In[... | LoanStats.py |
# In[10]:
import numpy as np
import pandas as pd
loandata = pd.DataFrame(pd.read_excel('D:\data analysis\Data capture\loandata.xlsx'))
# In[11]:
loandata
# In[31]:
loandata.duplicated().value_counts()
# In[13]:
loandata.drop_duplicates()
# In[14]:
loandata['loan_amnt'].isnull().value_counts()
# In[... | 0.343232 | 0.766862 |