seq_id string | text string | repo_name string | sub_path string | file_name string | file_ext string | file_size_in_byte int64 | program_lang string | lang string | doc_type string | stars int64 | dataset string | pt string | api list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
73815019386 | import logging
from os import environ
from unittest.mock import patch
import pytest
from bonobo import settings
from bonobo.errors import ValidationError
TEST_SETTING = "TEST_SETTING"
def test_to_bool():
assert not settings.to_bool("")
assert not settings.to_bool("FALSE")
assert not settings.to_bool("N... | python-bonobo/bonobo | tests/test_settings.py | test_settings.py | py | 1,851 | python | en | code | 1,564 | github-code | 6 | [
{
"api_name": "bonobo.settings.to_bool",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "bonobo.settings",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "bonobo.settings.to_bool",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "bonob... |
74183020029 | # -*- coding: utf-8 -*-
from django.conf import urls
from django.contrib.auth import decorators
from .views import HistoriaCreateView
from .views import HistoriaDetailView
from .views import HistoriaPacienteListView
from .views import HistoriaUpdateView
HISTORIA_CREATE_URL_NAME = 'historia_create'
HISTORIA_UPDATE_URL... | gustavoatt/consultas | consultas_proyecto/historias_app/urls.py | urls.py | py | 1,138 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.conf.urls.patterns",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.conf.urls",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "django.conf.urls.url",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "djang... |
25549629589 | # coding: utf-8
__author__ = "Ciprian-Octavian Truică"
__copyright__ = "Copyright 2020, University Politehnica of Bucharest"
__license__ = "GNU GPL"
__version__ = "0.1"
__email__ = "ciprian.truica@cs.pub.ro"
__status__ = "Production"
from tokenization import Tokenization
from vectorization import Vectorization
from t... | cipriantruica/news_diffusion | news-topic-modeling/main.py | main.py | py | 2,856 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number... |
33875332851 | import torch
from care_nl_ica.independence.hsic import HSIC
class IndependenceChecker(object):
"""
Class for encapsulating independence test-related methods
"""
def __init__(self, hparams) -> None:
super().__init__()
self.hparams = hparams
self.test = HSIC(hparams.num_permut... | rpatrik96/nl-causal-representations | care_nl_ica/independence/indep_check.py | indep_check.py | py | 1,920 | python | en | code | 12 | github-code | 6 | [
{
"api_name": "care_nl_ica.independence.hsic.HSIC",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.no_grad",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "torch.Tensor",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "to... |
74553223546 | import time
from datetime import datetime, timedelta
from num2words import num2words
# Todo: returns an timedelta:
def calculate_time(sleep_time: float) -> timedelta:
"""Function to calculate time to perform it's action,
which is takes a .
Args:
sleep_time (float) : Time that the function will t... | bvmcardoso/pwn | challenge.py | challenge.py | py | 3,411 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime.now",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.... |
73580429947 | import torch
import torchvision
import torchvision.datasets as datasets
import os
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.cm as cm
import math
def convert(imgf, labelf, outf, n):
f = open(imgf, "rb")
o = open(outf, "w")
l = open(labelf, "rb")
f.read(16... | smit-1999/NaiveBayes | nn.py | nn.py | py | 9,372 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.title",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.imshow",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "ma... |
15821968201 | #!/usr/bin/env python
import rospy
from std_msgs.msg import Bool
import psutil
import argparse
def monitorAvailableMemory(memory_upperlimit_percent):
"""
This function is used to monitor the memory utilization and throw an error
if it exceeds a preset value.
Arguments:
memory_upperlimit_percent... | robotpt/ros-data-capture | src/tools/mem_use_watcher/scripts/watcher.py | watcher.py | py | 1,420 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "psutil.virtual_memory",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "rospy.Publisher",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "std_msgs.msg.Bool",
"line_number": 29,
"usage_type": "argument"
},
{
"api_name": "rospy.ini... |
75018787708 | # -*- coding: utf-8 -*-
"""
Created on Tue Jun 7 22:05:01 2022
@author: Marcin
"""
import numpy as np
import matplotlib.pyplot as plt
# Sigmoid activation function
def sigmoid(X):
out = 1.0 / (1.0 + np.exp(-X))
return out
# Dervative of sigmoid funcition
def sigmoid_derivative(X):
retu... | MarcinJ7/kNN-implementation | NN.py | NN.py | py | 3,321 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.exp",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.dot",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.concatenate",
"line_number":... |
20342943646 | import numpy as np
import matplotlib.pyplot as mplt
M = 10000
N = 50
s = np.zeros(M)
number_of_cols = 0
for i in range(M):
S_min = 0
S_plus = 0
for j in range(N):
chooser_of_state = np.random.randint(2)
if chooser_of_state == 1:
S_min += 1
else:
S_plus += 1
s_value = (S_plus - S_min)/2.
if s_value n... | tellefs/FYS2160 | Oblig1/oppgm.py | oppgm.py | py | 545 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.zeros",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.random.randint",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.h... |
2116122344 | """
A command line interface to the qcfractal server.
"""
import argparse
import signal
import logging
from enum import Enum
from math import ceil
from typing import List, Optional
import tornado.log
import qcengine as qcng
import qcfractal
from pydantic import BaseModel, BaseSettings, validator, Schema
from . imp... | yudongqiu/QCFractal | qcfractal/cli/qcfractal_manager.py | qcfractal_manager.py | py | 42,285 | python | en | code | null | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "enum.Enum",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "pydantic.BaseSettings",
"line_number": 41,
"usage_type": "name"
},
{
"api_name": "pydantic.Schema",
... |
24219583345 | # -*- coding: utf-8 -*-
"""
Created on 2022/9/23
@author: nhsiao
2022/9/5 avg_rsrp 改成 c_rsrp, 圖片從 2022/8/27閞始
2022/9/29 c_rsrp 改成 pos_first_rsrp, 圖片從 2022/9/23 閞始
"""
import cx_Oracle
import pandas as pd
import matplotlib.pyplot as plt
from matplotlib import dates as mpl_dates
import gc
import gzip
from datetime imp... | tonhsiao/cnn_cbam | CNN_CBAM_Daily/generateImg.py | generateImg.py | py | 18,040 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "warnings.filterwarnings",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": ... |
72532680189 | # pylint:disable=protected-access
# pylint:disable=redefined-outer-name
from collections.abc import Awaitable, Callable
from pathlib import Path
from typing import AsyncContextManager
import pytest
from aiopg.sa.engine import Engine
from faker import Faker
from models_library.api_schemas_storage import FileUploadSche... | ITISFoundation/osparc-simcore | services/storage/tests/unit/test_simcore_s3_dsm.py | test_simcore_s3_dsm.py | py | 4,006 | python | en | code | 35 | github-code | 6 | [
{
"api_name": "pydantic.parse_obj_as",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pydantic.ByteSize",
"line_number": 27,
"usage_type": "argument"
},
{
"api_name": "pytest.fixture",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "pydan... |
73944977468 | from difflib import SequenceMatcher
from elasticsearch import Elasticsearch
import string
INDEX = 'video-search'
DOC_TYPE = 'video'
es = Elasticsearch(['elasticsearch:9200'])
def index_video(body):
es.index(index=INDEX, doc_type=DOC_TYPE, body=body)
es.indices.refresh(index=INDEX)
def delete_index():
... | colanconnon/cs410project | cs410videosearchengine/videosearchengine/search.py | search.py | py | 1,263 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "elasticsearch.Elasticsearch",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "spacy.lang.en.English",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "spacy.matcher.PhraseMatcher",
"line_number": 47,
"usage_type": "call"
}
] |
15910442299 | import unittest
from mock import Mock, call
from six import StringIO
from trashcli.restore.file_system import RestoreReadFileSystem, \
RestoreWriteFileSystem, FakeReadCwd
from trashcli.restore.restore_cmd import RestoreCmd
from trashcli.restore.trashed_file import TrashedFile, TrashedFiles
def last_line_of(io):... | cloudlylooudy/trash-cli | tests/test_restore/restore_cmd/test_trash_restore_cmd.py | test_trash_restore_cmd.py | py | 3,233 | python | en | code | null | github-code | 6 | [
{
"api_name": "unittest.TestCase",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "six.StringIO",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "six.StringIO",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "mock.Mock",
"lin... |
18843150286 | import pytest
from unittest import mock
from types import SimpleNamespace
from clean.exceptions import FilterDoesNotExist
from clean.request.inout.ports import Response, Request
from clean.request.inout.filter import Page, Sort
from clean.use_case.common import SaveUseCase, RetrieveUseCase, UpdateUseCase, DeleteUseCas... | bahnlink/pyclean | tests/clean/use_case/test_common.py | test_common.py | py | 3,835 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "clean.use_case.common.SaveUseCase",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "types.SimpleNamespace",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "clean.use_case.case.BaseUseCase",
"line_number": 22,
"usage_type": "name"
},
... |
25867867346 | from SpeechEmotionRecognizer import SpeechEmotionRecognizer
import pandas as pd
import numpy as np
import librosa
from sklearn.preprocessing import StandardScaler, OneHotEncoder
from sklearn.model_selection import train_test_split
from keras.callbacks import ReduceLROnPlateau
from keras.models import Sequential
from k... | jsalinas98/SpeechEmotionRecognition | SpeechEmotionRecognizer/SER_CNN.py | SER_CNN.py | py | 4,216 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "SpeechEmotionRecognizer.SpeechEmotionRecognizer",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.hstack",
"line_number": 25,
"usage_type": "call"
},
{
"api_name... |
28656442402 | import torch
import numpy as np
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torchvision import datasets, transforms
from torch.autograd import Variable
from sklearn.metrics import mean_squared_error
import models
import helper_functions
import pandas as pd
import os... | jmandivarapu1/SelfNet-Lifelong-Learning-via-Continual-Self-Modeling | Split_MNIST_10x/getMeanNet.py | getMeanNet.py | py | 4,781 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "matplotlib.use",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "models.Net",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "models.Net",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "models.Net",
"line_number": ... |
36406111862 | import os
from textwrap import dedent
import openai
openai.api_key = os.getenv("OPENAI_KEY", "%%OPENAI_KEY%%")
user_input = input()
ml_prompt = dedent(
"""
You are an artificial intelligence bot named generator with a goal of generating a log format string for a given natural-language description of what a ... | dicegang/dicectf-2023-challenges | misc/mlog/chall/mlog/predict.py | predict.py | py | 1,294 | python | en | code | 61 | github-code | 6 | [
{
"api_name": "openai.api_key",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.getenv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "textwrap.dedent",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "openai.Completion.create"... |
74506164668 | from database import crm_db
from typing import List
from models.research import Research, ResearchIn
from bson import ObjectId
from pymongo.errors import DuplicateKeyError
from fastapi import HTTPException
async def read_researches(skip: int = 0, limit: int = 200):
researchs = []
for research in (
aw... | MaximeRCD/cgr_customer_api | services/research.py | research.py | py | 1,988 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "database.crm_db.Research.find",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "database.crm_db.Research",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "database.crm_db",
"line_number": 13,
"usage_type": "name"
},
{
"api_n... |
12774203513 | from bs4 import BeautifulSoup
import requests
response = requests.get("http://stackoverflow.com/questions/")
soup = BeautifulSoup(response.text, "html.parser")
questions = soup.select(".question-summary")
print(questions.get("id", 0))
for question in questions:
print(questions.select_one(".question-hyperlink").ge... | AnantaJoy/Python-for-Geographers-v0.1 | 13-05-2023/Packages/web_crawler/app.py | app.py | py | 396 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 5,
"usage_type": "call"
}
] |
70281107068 | import torch
class VQAClassifier(torch.nn.Module):
def __init__(self, hs, vs):
super(VQAClassifier, self).__init__()
# from: https://github.com/dandelin/ViLT
self.vqa_classifier = torch.nn.Sequential(
torch.nn.Linear(hs, hs * 2),
torch.nn.LayerNorm(hs * 2),
... | esteng/ambiguous_vqa | models/allennlp/modules/rsa_vqa/vqa_classifier.py | vqa_classifier.py | py | 476 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "torch.nn",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Linear",
"l... |
35619601544 | from nltk.corpus import cmudict
words = cmudict.entries()
count = 0
for entry in words:
if len(entry[1]) > 1:
count += 1
# Percentage of words with more than one possible pronunciation
print(1.0 * count / len(words)) | hmly/nlp-solutions | c-02/2-12_cmudict.py | 2-12_cmudict.py | py | 231 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "nltk.corpus.cmudict.entries",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.cmudict",
"line_number": 3,
"usage_type": "name"
}
] |
26041799986 | from __future__ import annotations
from pants.backend.scala.subsystems.scala import ScalaSubsystem
from pants.backend.scala.util_rules.versions import (
ScalaArtifactsForVersionRequest,
ScalaArtifactsForVersionResult,
)
from pants.core.goals.repl import ReplImplementation, ReplRequest
from pants.core.util_rule... | pantsbuild/pants | src/python/pants/backend/scala/goals/repl.py | repl.py | py | 3,012 | python | en | code | 2,896 | github-code | 6 | [
{
"api_name": "pants.core.goals.repl.ReplImplementation",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "pants.core.util_rules.system_binaries.BashBinary",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "pants.backend.scala.subsystems.scala.ScalaSubsystem",
... |
38038218212 | """
References
Machine Learning to Predict Stock Prices:
https://towardsdatascience.com/predicting-stock-prices-using-a-keras-lstm-model-4225457f0233
Twitter Sentiment Analysis using Python
https://www.geeksforgeeks.org/twitter-sentiment-analysis-using-python/
Streamlit 101: An in-depth introduction:
htt... | qvinh-du/finalproject | finalproject.py | finalproject.py | py | 13,804 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "nltk.download",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "warnings.filterwarnings",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 52,
"usage_type": "attribute"
},
{
"api_name": "datetime.date.t... |
25012412373 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
pytorch-dl
Created by raj at 7:48 AM, 7/31/20
"""
import os
import time
import torch
from dataset.iwslt_data import rebatch_source_only
from models.decoding import batched_beam_search
from models.utils.model_utils import load_model_state
from onmt import opts, inputt... | patelrajnath/pytorch-dl | translate.py | translate.py | py | 4,521 | python | en | code | 10 | github-code | 6 | [
{
"api_name": "onmt.utils.set_random_seed",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "models.utils.model_utils.load_model_state",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 23,
"usage_type": "call"
},
{
... |
70766866107 | from typing import Union, Tuple, List, Sequence
from .base import BasePayload
class FlowPayload(BasePayload):
""" """
def payloads(self) -> Union[Tuple, List]:
return findall_subpayload([self.__args__, self.__kwargs__])
def __make__(self, *args, **kwargs):
raise NotImplementedError
def... | ZSAIm/VideoCrawlerEngine | helper/payload/flow.py | flow.py | py | 1,523 | python | en | code | 420 | github-code | 6 | [
{
"api_name": "base.BasePayload",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_numbe... |
75226771708 | #............ Calculates average return for every time interval for every stock and store in the DB
import pymongo
import datetime
import numpy as np
myclient = pymongo.MongoClient("mongodb://localhost:27017/")
historical_col = myclient["core"]["historical_data"]
time_heat_map = myclient["core"]["analytics"][... | prashanth470/trading | source/analysis/time_heat_map.py | time_heat_map.py | py | 4,241 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.size",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "numpy.size",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "numpy.size",
"line_numbe... |
17702310414 | import os
import shutil
import time
from watchdog.observers import Observer
from watchdog.events import FileSystemEventHandler
# Construct the path to the download folder
download_folder = os.path.join(os.path.expanduser('~'), 'Downloads')
class FileSorter(FileSystemEventHandler):
def on_created(self,... | phelannathan42/Download-Librarian | DLIBV0.04WATCHDOG.py | DLIBV0.04WATCHDOG.py | py | 1,885 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.join",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.expanduser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "watchdog.events.FileSystemE... |
27407521058 | from livereload import Server, shell
from pathlib import Path
import sys
cur_dir = Path(__file__).parent
server = Server()
if "no" not in sys.argv:
exts = ("rst", "py", "jinja2")
print(f"Watching file changes {exts}")
cmd = shell("make html", cwd=str(cur_dir))
for ext in exts:
# nested or
... | sudojarvis/xonsh | docs/serve_docs.py | serve_docs.py | py | 499 | python | en | code | null | github-code | 6 | [
{
"api_name": "pathlib.Path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "livereload.Server",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "livereload.shell",
"lin... |
24905743163 | import cadquery as cq
import logging
from types import SimpleNamespace as Measures
log = logging.getLogger(__name__)
# A parametric mount for stepper motors shaped as an L-bracket.
class MotorMountL:
def __init__(self, workplane, measures):
"""
A parametric stepper motor mount in the shape of an... | tanius/cadquery-models | motormount/motor_mount_l.py | motor_mount_l.py | py | 4,389 | python | en | code | 11 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cadquery.Workplane",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "cadquery.Workplane",
"line_number": 93,
"usage_type": "attribute"
},
{
"api_name": "types.Sim... |
926305752 | from http import HTTPStatus
from unittest.mock import patch
import pytest
import requests
from rotkehlchen.constants.assets import A_JPY
from rotkehlchen.db.settings import DEFAULT_KRAKEN_ACCOUNT_TYPE, ROTKEHLCHEN_DB_VERSION, DBSettings
from rotkehlchen.exchanges.kraken import KrakenAccountType
from rotkehlchen.tests... | fakecoinbase/rotkislashrotki | rotkehlchen/tests/api/test_settings.py | test_settings.py | py | 17,491 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "rotkehlchen.tests.utils.api.api_url_for",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "rotkehlchen.tests.utils.api.assert_proper_response",
"line_number": 22,
"usage_type"... |
15548564668 | import sys
import re
from typing import Dict, Union, List
def get_symb_value(symb: Dict[str, str], context) -> (Union[str, int, bool], str):
"""
Get value and type of symbol.
:param symb: XML argument
:param context: Interpret class
:return: Tuple of value and type
"""
if symb['type'] == ... | lukasvecerka23/ipp-hw | lib/utils.py | utils.py | py | 4,409 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.Dict",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": ... |
26581236560 | from TrelloApi.TrelloConfig import Trello as tconfig
import requests
import datetime
import json
import re
import os
import threading
import xlsxwriter
class OpenFolderError(Exception):
def __str__(self):
return 'Diretório já exite'
class GeraRelatorio(object):
def __init__(self):
self.Tr... | LeandroGelain/PersonalGit | 2018-2019/Programas executaveis/tkinterApp_arquivosSemExe/TrelloApi/GeraRelatório.py | GeraRelatório.py | py | 10,255 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "TrelloApi.TrelloConfig.Trello",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "requests.request",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "requests.re... |
71718729148 | import wx
from . import GUIclasses2 as GUI
from .DataClass2 import PointData
from . import GPS
import numpy as np
from . import MapBase
#Last update/bugfix 11.03,2010 simlk
#Two GUI interfaces wrapping MapBase.py for ML-programs. Simple interface designed for in-field use....
class BasePanel(wx.Panel): #This o... | SDFIdk/nivprogs | MyModules/MLmap.py | MLmap.py | py | 8,768 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "wx.Panel",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "wx.Panel.__init__",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "wx.Panel",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "wx.TE_READONLY",
"li... |
30754602045 | from collections import Counter
for _ in range(int(input())):
n = int(input())
if n < 3:
input()
print(-1)
else:
nb = list(map(int, input().split(' ')))
cnt = Counter(nb)
flag = True
for k, v in cnt.items():
if v >= 3:
print(k)... | Tanguyvans/Codeforces | 784/B.py | B.py | py | 412 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.Counter",
"line_number": 13,
"usage_type": "call"
}
] |
6807988061 | import setuptools
import os
import codecs
from setuptools import setup
# https://packaging.python.org/guides/single-sourcing-package-version/
def read(rel_path):
here = os.path.abspath(os.path.dirname(__file__))
with codecs.open(os.path.join(here, rel_path), 'r') as fp:
return fp.read()
def get_versi... | wesuuu/oo-tools | setup.py | setup.py | py | 1,004 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.abspath",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "codecs.open",
"line_num... |
7138653574 | import sys
sys.path.append(".")
from argparse import ArgumentParser
import json
import os
import numpy as np
import torch
from torch.utils.data import Dataset, DistributedSampler, DataLoader, SequentialSampler, RandomSampler
from torch.optim import AdamW
from callback.lr_scheduler import get_linear_schedule_with_warmup... | laohur/PoorBERT | v1/tasks/task.py | task.py | py | 17,353 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "tasks.utils.TaskConfig",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "tools.common.init_... |
19815525990 | from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^$', views.index),
url(r'^regprocess$', views.user),
url(r'^jobs/new$', views.registration),
url(r'^loginprocess$', views.login_process),
url(r'^login$', views.login),
url(r'^logout$', views.logout),
... | aidapira/handyhelper | apps/job_manager_app/urls.py | urls.py | py | 724 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.conf.urls.url",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.co... |
8185206077 | import json
import yaml
import subprocess
def add_cluster_ips(cluster_name, save=True):
"""
Adds the IPs for the specified cluster.
Args:
cluster_name (str): The name of the cluster.
save (bool, optional): Whether to save the IPs to the file. Defaults to False.
Returns:
dict... | chevalsumo/5G-Services-Placement-in-Dynamic-Multi-clusters | kind_automatisation/scripts/submariner_configuration/broker_context.py | broker_context.py | py | 7,163 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "subprocess.check_output",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "subprocess.check_output",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "subprocess.run",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "json.l... |
40892321700 | import os
import discord
import re
import asyncio
from keepAlive import KeepAlive
from spotifySelfAPI import SpotifyAuthAccessToken, SpotifySearch, SpotifyPlaylistCreate, SpotifyPlaylistAdd
from replaceBadKeywords import ReplaceBadKeywords
from collections import OrderedDict
from youtubeSelfAPI import YoutubePlaylistCr... | sarvagya6/discord-playlist-bot | main.py | main.py | py | 7,019 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "discord.Client",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_numbe... |
74165330428 | from tkinter import*
from tkinter import ttk
from tkinter import Tk
from PIL import Image, ImageTk
from student import student
import os
import tkinter
from train import Train
from facereco import Face_Reco
from attendance import atendance
from developer import developer
from help import help
... | kg300902/Smart-Attendance-System | main.py | main.py | py | 7,693 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PIL.Image.open",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "PIL.Image.ANTIALIAS",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image",
"li... |
4713040273 | import os
import re
import json
import numpy as np
from tqdm import tqdm_notebook
from collections import Counter
base_path = 'LongSumm-data/extractive_summaries/'
path_to_jsons = base_path + 'papers-jsons/'
p_jsons = os.listdir(path_to_jsons)
p_unread = []
section_1 = ['abstract']
section_2 = ['introduction', 'pr... | dchandak99/LongSumm | .ipynb_checkpoints/join_sections_manual-checkpoint.py | join_sections_manual-checkpoint.py | py | 3,727 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "os.listdir",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm_notebook",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 4... |
32413683762 | from django.contrib.auth import authenticate
from django.contrib.auth import login
from django.contrib import messages
from django.contrib.auth.mixins import LoginRequiredMixin
from django.contrib.auth.views import LogoutView
from django.shortcuts import redirect
from django.shortcuts import render
from django.urls imp... | ErnestoAquino/LITRevu | litrevu/users/views.py | views.py | py | 7,709 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.views.generic.View",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "users.forms.LoginForm",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "users.forms",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "djan... |
1705824671 | import sys
import json
import h5py
import numpy as np
import matplotlib.pyplot as plt
import sys_id_utils
for i, data_file in enumerate(sys.argv[1:]):
data = h5py.File(data_file, 'r')
run_param = json.loads(data.attrs['jsonparam'])
print(run_param)
t = data['t'][()]
v_stimu = data['v_stimulus'][... | willdickson/imafly | python/imafly/examples/data_step_tmp/analyze_step_data.py | analyze_step_data.py | py | 2,044 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "h5py.File",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sys_id_utils.freq_response",
"l... |
27998557212 | # -*- coding: utf-8 -*-
"""
Created on Sat Oct 2 14:50:05 2021
@author: mizo_
"""
import os
from PIL import Image
import numpy as np
import csv
from impreproc5 import processImg
# image =Image.open('test/test.png')
# z='test/resize/testresize.png'
# c=processImg(image,z)
c=0
directory = f't... | moataz-abbas/NeuralNetworks | createTestCSV.py | createTestCSV.py | py | 1,101 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "csv.writer",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 26,
... |
18972684429 | import pandas as pd
from dagster import asset, get_dagster_logger
from SSH_DEMO.resources import daily_partitions_def
# path for the directory as served from the SFTP server
GLOBAL_PREFIX = "upload"
DB_ZONE = "landing"
def _source_path_from_context(context):
return (
context.solid_def.output_defs[0]... | geoHeil/dagster-ssh-demo | SSH_DEMO/assets/ingest_assets.py | ingest_assets.py | py | 2,839 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "pandas.Timestamp.now",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "pandas.Timestamp",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "pandas.Dat... |
35707696287 | import bcrypt
import time
from flask import Flask, jsonify, request
from flask import Flask, jsonify
from flask_cors import CORS
# * ============ (Core functions) ============ *#
from utils.save_results_in_db import save_results_in_db
from utils.scan_for_vulns import scan_for_vulns
from utils.data_adapter import da... | JorgeAVargasC/router-scan-backend | app.py | app.py | py | 6,478 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "flask.request.get_json",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "flask.request",
... |
33078595311 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from time import time
from threading import Thread
import requests
class DownloadHandler(Thread):
def __init__(self, url):
super().__init__()
self.url = url
def run(self):
filename = self.url[self.url.rfind('/') + 1:]
resp = req... | letterli/py-cookbook | books/python-100-days/Day14/requests_demo.py | requests_demo.py | py | 733 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "threading.Thread",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 26,
"usage_type": "call"
}
] |
1047110963 | from crispy_forms.helper import FormHelper
from crispy_forms.layout import Submit
from django import forms
class ticketChatForm(forms.Form):
def __init__(self, *args, **kwargs):
super(ticketChatForm, self).__init__(*args, **kwargs)
self.helper = FormHelper()
# self.helper.form_id = 'id-exa... | hewimetall/django_Help_Desk | label_ListPage/form.py | form.py | py | 931 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.forms.Form",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "crispy_forms.helper.FormHelper",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "crisp... |
2018421498 | import unittest
import sys
import os
import tempfile
import shutil
from appliapps.examples.a_pyecho import PythonEcho
from appliapps.examples.b_extecho import ExternalEcho
from appliapps.examples.cp import CpApp
from appliapps.examples.template import TemplateApp
class Test(unittest.TestCase):
@classmethod
d... | lcb/applicake | tests/test_examples.py | test_examples.py | py | 1,160 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "unittest.TestCase",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "tempfile.mkdtemp",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.chdir",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line... |
27147516534 | import pytest
from ..common_imports import PdfXmp, PdfResource
class TestPdfXmp:
@pytest.fixture
def resource(self, test_params):
return PdfResource(test_params.resources_path + "XmpAndOtherSample.pdf", "XmpAndOtherSample.pdf")
@pytest.fixture
def text(self, resource, test_params, get_end... | dynamicpdf-api/python-client | test/PdfXmpEndpoint/test_pdf_xmp.py | test_pdf_xmp.py | py | 688 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "common_imports.PdfResource",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "common_imports.PdfXmp",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "py... |
10854990799 | import numpy as np
import pytorch_lightning as pl
import torch
from torch.utils.data import Dataset, DataLoader
from utils import Language
SRC_LANG = Language('src')
TRG_LANG = Language('trg')
class SentenceDataset(Dataset):
"""
This class loads the desired data split for the Occupation Classification datas... | matprst/deceptive-attention-reproduced | deceptive-attention/src/seq2seq/lightning/data_utils.py | data_utils.py | py | 5,858 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "utils.Language",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "utils.Language",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.utils.data.Dataset",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "numpy.zeros",
... |
32833821340 | from appium import webdriver
import time
from appium.webdriver.common.touch_action import TouchAction
from selenium.common.exceptions import ElementNotVisibleException, ElementNotSelectableException, NoSuchElementException
from selenium.webdriver.support.wait import WebDriverWait
desired_caps = {}
desired_caps['plat... | candi-project/Automation_framework_Android | Appiumpython/Gestures/SwipeGesture2.py | SwipeGesture2.py | py | 1,460 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "appium.webdriver.Remote",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "appium.webdriver",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "appium.webdriver.common.touch_action.TouchAction",
"line_number": 38,
"usage_type": "call"
},
... |
26024158970 | # 建立COO 稀疏矩阵
from scipy.sparse import coo_matrix # 引入所需要的库
row = [0, 1, 2, 2]
col = [0, 1, 2, 3]
data = [1, 2, 3, 4] # 建立矩阵的参数
c = coo_matrix((data, (row, col)), shape=(4, 4)) # 构建4*4的稀疏矩阵
print(c)
d = c.todense() # 稀疏矩阵转化为密集矩阵
print(d)
e = coo_matrix(d) # 将一个0值很多的矩阵转为稀疏矩阵
print(e)
f = e.to... | suanhaitech/pythonstudy2023 | july/11.py | 11.py | py | 584 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "scipy.sparse.coo_matrix",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "scipy.sparse.coo_matrix",
"line_number": 11,
"usage_type": "call"
}
] |
71276865469 | # internal imports
from typing import Dict, Optional
# external imports
import gspread
def add_new_row(sheet, data):
sheet.append_row(data)
def update_row(sheet, cell, data):
for idx, d in enumerate(data):
sheet.update_cell(cell.row, cell.col + idx, data[idx])
def upload_results(sheet_name: str, ... | jaypmorgan/labscribe | labscribe/googlesheets.py | googlesheets.py | py | 968 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.Dict",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "gspread.service_account",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "gspread.CellNotFo... |
41191258670 |
#? pip install flask flask-pymongo
from flask import Flask, render_template
from flask_pymongo import PyMongo
app = Flask(__name__)
app.config['MONGO_URI'] = "mongodb://localhost:27017/myDatabase"
mongo = PyMongo(app)
@app.route('/')
def hello_world():
mongo.db.inventory.insert_one({"b":31})
a = mongo.db.inve... | Vedant817/Flask-and-MongoDB | main.py | main.py | py | 569 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask_pymongo.PyMongo",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.render_te... |
71601274107 | #!/usr/bin/env python3
from jinja2 import Template
import numpy as np
min_x = -20
max_x = 20
min_z = 0.0
max_z = 20.0
with open('nonapod_input.jinja') as template_file:
templ = Template(template_file.read())
# Do the cases for grid sampling. Since 50 and 500 are not perfect squares,
# must use an approximate num... | gridley/truss_optimization | write_big_grid.py | write_big_grid.py | py | 730 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "jinja2.Template",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 16,
"usage_type": "call"
}
] |
24615532465 | from tiles import AnimatableTile
import pygame
class Coin(AnimatableTile):
def __init__(self, size, position, frames, data):
super().__init__(size, position, frames, data)
for i in range(len(self.frames)):
self.frames[i] = pygame.transform.scale(self.frames[i], (8, 8))
self.pos... | ysbrandB/M6FinalProject | code/coin.py | coin.py | py | 462 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tiles.AnimatableTile",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "pygame.transform.scale",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pygame.transform",
"line_number": 9,
"usage_type": "attribute"
}
] |
74667821627 | from typing import List, Optional
from fastapi import Depends
from ..service import Service, get_service
from app.utils import AppModel
from . import router
class InsideObjectResponse(AppModel):
_id:str
address:str
type:str
price:int
area:float
rooms_count:int
location:dict
class GenRespo... | MamushevArup/code-climb-ai-back | app/shanyrak/router/router_get_pagination.py | router_get_pagination.py | py | 770 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "app.utils.AppModel",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "app.utils.AppModel",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
... |
22050926816 | from flask import Flask, request, render_template, session, redirect, url_for, jsonify
from models.user import User
from models.rawpicture import Rawpicture
from models.savepicture import Savepicture
from models.comment import Comment
from random import choice
import mlab
import base64
import requests
mlab.con... | hoangcuong9x/test | app.py | app.py | py | 16,081 | python | vi | code | 0 | github-code | 6 | [
{
"api_name": "mlab.connect",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "base64.b64encode",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "models.savepicture.Savepic... |
30157505435 | from find_dir import cmd_folder
import pandas as pd
import os
import json
import numpy as np
buyer_history = pd.read_csv(cmd_folder+"data/processed/buyer_history.csv")
sorted_history = buyer_history[["buyer_id","visit_id","timestamp","event"]].sort_values(["buyer_id","visit_id","timestamp","event"],ascending=True)
s... | pierrenodet/PFE | src/make_trace_bis.py | make_trace_bis.py | py | 1,746 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "find_dir.cmd_folder",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "find_dir.cmd_folder",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "json.load",
... |
27318923223 | # @PascalPuchtler
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# dis... | iisys-hof/autonomous-driving | car-controller/src/mainController/View/Render/GenerateCarView.py | GenerateCarView.py | py | 2,531 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.use",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "cv2.getTickFrequency",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "cv2.getTickCount",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "cv2.putText",
... |
1701461424 | import argparse
import numpy as np
import cv2
import time
import math
from sympy.solvers import solve
from sympy import Symbol
X_POS = 0
Y_POS = 1
Thresh = 170
imageName = "picture.jpg"
def modImage(sceneName, img, kernel, erodeNum, dilateNum, invertion=False):
ret, result = cv2.threshold(img, Thresh, 255, cv2.THRE... | Edwin222/CPL-20181-Team3 | iris_detect_service/iris_detection.py | iris_detection.py | py | 6,860 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.threshold",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cv2.THRESH_BINARY",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "cv2.THRESH_OTSU",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "cv2.bitwise... |
41636163192 | """Insert Noop: insert a statement that doesn't affect any other variables."""
from refactorings.base import BaseTransformation, JoernTransformation, SrcMLTransformation
from refactorings.random_word import get_random_word, get_random_typename_value
import string
from srcml import E
from lxml import etree
import loggi... | bstee615/cfactor | refactorings/insert_noop.py | insert_noop.py | py | 1,800 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "refactorings.base.SrcMLTransformation",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "refactorings.random_word.get_random_word",
"line_number": 27,
"usage_type": "call"... |
21396845249 | from typing import Dict
from starlette.types import ASGIApp, Receive, Scope, Send
class AsgiDispatcher:
def __init__(self, patterns: Dict[str, ASGIApp], default: ASGIApp):
self.patterns = patterns
self.default_app = default
async def __call__(self, scope: Scope, receive: Receive, send: Send) ... | TheRacetrack/racetrack | racetrack_commons/racetrack_commons/api/asgi/dispatcher.py | dispatcher.py | py | 730 | python | en | code | 27 | github-code | 6 | [
{
"api_name": "typing.Dict",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "starlette.types.ASGIApp",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "starlette.types.Scope",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "starlette.typ... |
8797452881 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
df = pd.read_csv("C:/Users/Admin/OneDrive/Desktop/decision tree/Iris.csv")
df.head()
df.isnull().sum()
df.shape
df.info()
df.describe()
df.drop('Id',axis=1, inplace=True)
df.shape
df['Species'].value_counts().... | ShreyasiDesai/LGMVIP-DataScience | decition tree.py | decition tree.py | py | 1,182 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "seaborn.heatmap",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 24,
"usage_type": "call"
},
{
"api_name"... |
28002035268 | import os
import torch
import numpy as np
from PIL import Image
# This dataset comes form paper:
# [2D and 3D Segmentation of Uncertain Local Collagen Fiber Orientations in SHG Microscopy]
# https://github.com/Emprime/uncertain-fiber-segmentation
def collagen3d_dataset(dataloader_config, label_type='mask')... | Surtol-Sun/TrainFramework_torch | components/dataset_loader/dataset_loader_3dcollagen.py | dataset_loader_3dcollagen.py | py | 7,648 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "os.cpu_count",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.utils.data.DataLoader",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "torch.utils",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "torch.utils... |
19772157877 | # -*- coding: utf-8 -*-
"""
python -c "import doctest, ibeis; print(doctest.testmod(ibeis.model.hots.hots_nn_index))"
python -m doctest -v ibeis/model/hots/hots_nn_index.py
python -m doctest ibeis/model/hots/hots_nn_index.py
"""
from __future__ import absolute_import, division, print_function
# Standard
from six.moves ... | smenon8/ibeis | _broken/old/hots_nn_index.py | hots_nn_index.py | py | 12,775 | python | en | code | null | github-code | 6 | [
{
"api_name": "utool.inject",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "utool.hashstr_arr",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "utool.printex",
"lin... |
12608079869 | '''
Load embedding, create dictionary, convert text to index
'''
import io
import pandas as pd
from sklearn.feature_extraction.text import CountVectorizer
import argparse
#import json
import os
import numpy as np
import pickle
import pdb
def text2index(text, vocab, analyzer):
# 1 is unk
doc_toks = [vocab[y] ... | jingsliu/NLP_HW | HW2/code/dataPrep.py | dataPrep.py | py | 4,852 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "io.open",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.fromiter",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.float",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "sklearn.feature_extraction.te... |
12509808903 | import requests
city = input('enter the city... ')
api_address = 'https://samples.openweathermap.org/data/2.5/weather?q={},uk&appid=b6907d289e10d714a6e88b30761fae22'.format(
city)
url = api_address + city
data = requests.get(url).json()
# print(data)
weather = data['weather']
print(weather[0]['description'])
| Riyam224/techcampus---projects | 04/testApi.py | testApi.py | py | 319 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
}
] |
71735044668 | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import scipy.stats as stats
# Change the display options
pd.options.display.max_columns = None
pd.options.display.max_rows = None
species_df = pd.read_csv('species_info.csv')
observations_df = pd.read_csv('observat... | Pavich-3/-Biodiversity-in-National-Parks | project.py | project.py | py | 3,509 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.options",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pandas.options",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv... |
30192254789 | import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import os
# sigmoid函数
def sigmoid(z):
return 1 / (1 + np.exp(-z))
# 定义回归模型
def model(X, theta):
return sigmoid(np.dot(X, theta.T))
# 计算梯度
def gradient(X, y, theta):
grad = np.zeros(theta.shape) # 初始化梯度，维度与参数向量的维度... | TJPU-ML/Homework-for-the-fall-semester-of-2018 | iris classification/张家源/iris4.py | iris4.py | py | 9,017 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.exp",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.dot",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.multiply",
"line_number": 22... |
72757362749 | """
Roll adjusted and multiple prices for a given contract, after checking that we do not have positions
NOTE: this does not update the roll calendar .csv files stored elsewhere. Under DRY the sole source of production
roll info is the multiple prices series
"""
from dataclasses import dataclass
import numpy as np
... | ahalsall/pysystrade | sysproduction/interactive_update_roll_status.py | interactive_update_roll_status.py | py | 18,575 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "syscore.objects.named_object",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "sysdata.data_blob.dataBlob",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "syscore.interactive.print_menu_of_values_and_get_response",
"line_number": 67,
"u... |
18760758159 | import time
import aiohttp
import discord
import importlib
import os
import sys
import requests
import asyncio
from io import BytesIO
from discord.ext import commands
from my_utils import permissions, default, dataIO
from my_utils.guildstate import state_instance
class admin(commands.Cog):
def __init__(self, bot... | Albedo-Discord/ext | cogs/admin.py | admin.py | py | 10,872 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "my_utils.default.get",
"line_number": 19,
"usage_type": "call"
},
{
"api_name"... |
75167070268 | import torch
import torch.nn.functional as F
from torch.autograd import Variable
import numpy as np
from math import exp
import math
def gaussian(window_size, sigma):
gauss = torch.Tensor([exp(-(x - window_size/2)**2/float(2*sigma**2)) for x in range(window_size)])
return gauss/gauss.sum()
def create_window(window_... | chenkhan/haze-synthesizing | util/metrics.py | metrics.py | py | 5,878 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "torch.Tensor",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "math.exp",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.autograd.Variable",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.nn.functional.conv2... |
69869460347 | def Mark(
x=None, text='', color='',
bold=True, underline=False):
""" This function prints an object x and adds a description text.
It is useful for for debugging. """
start = ''
end = ''
if color != '' or bold or underline:
end='\033[0m'
colorDict = {
'': '',
None: '',
'p... | google/expt-analysis | python/data_analysis.py | data_analysis.py | py | 82,173 | python | en | code | 6 | github-code | 6 | [
{
"api_name": "re.sub",
"line_number": 619,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 620,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 621,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 1113,
"usa... |
7262256391 | from http import HTTPStatus
from flask import current_app, jsonify, request
from app.models.vacine_model import Vacine
from sqlalchemy.exc import IntegrityError
from app.exc.errors import CpfInvalid
from app.services.verif_data import verify_data
from app.services.generate_data import data_generate
def get_vacines():... | Kenzie-Academy-Brasil-Developers/q3-sprint5-vacinacao-theogandara | app/controllers/vacine_controller.py | vacine_controller.py | py | 1,750 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "app.models.vacine_model.Vacine.query.all",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "app.models.vacine_model.Vacine.query",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "app.models.vacine_model.Vacine",
"line_number": 11,
"u... |
2063946987 | from loader import dp
from aiogram import types
from aiogram.dispatcher import FSMContext
from aiogram.dispatcher.filters import Text
from loguru import logger
from datetime import datetime
@dp.message_handler(commands='reload', state='*')
@dp.message_handler(Text(equals='reload',
ignore_case... | Taiven396/tickets_bot | handlers/reload.py | reload.py | py | 1,059 | python | ru | code | 0 | github-code | 6 | [
{
"api_name": "aiogram.types.Message",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "aiogram.types",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "aiogram.dispatcher.FSMContext",
"line_number": 13,
"usage_type": "name"
},
{
"api_name":... |
13941876090 | from argparse import ArgumentParser
from sudoku_solver import SudokuSolver
from sudoku import Sudoku
def get_args():
parser = ArgumentParser()
parser.add_argument('--sudoku', required=True)
return parser.parse_args()
def main():
args = get_args()
sudoku = Sudoku.from_file(args.sudoku)
solver... | delabania/sudoku-solver | solve.py | solve.py | py | 450 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sudoku.Sudoku.from_file",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sudoku.Sudoku",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "sudoku_s... |
38354134434 | from dataclasses import dataclass
from typing import Optional, Tuple
import torch.nn as nn
import torch
from transformers.models.dpr.modeling_dpr import DPRReaderOutput
from transformers.modeling_outputs import QuestionAnsweringModelOutput, ModelOutput, SequenceClassifierOutput
from transformers.models.vilt.modeling_v... | mdsalem17/reranking | meerqat/train/trainee.py | trainee.py | py | 21,260 | python | en | code | null | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "transformers.models.dpr.modeling_dpr.DPRReaderOutput",
"line_number": 27,
"usage_type": "name"
},
{
... |
5820650421 | import hashlib
import json
import urllib.parse
from typing import Union, Dict
import asks
from asks.response_objects import Response
from spins_halp_line.constants import Credentials
from spins_halp_line.util import get_logger, SynchedCache
_cred_key = "resource_space"
_field_ids = {
"adventure_name": 86,
"p... | aeturnum/spins_halp_line | spins_halp_line/media/resource_space.py | resource_space.py | py | 13,353 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "spins_halp_line.util.get_logger",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "spins_halp_line.util.SynchedCache",
"line_number": 117,
"usage_type": "call"
},
{
"api_name": "typing.Union",
"line_number": 177,
"usage_type": "name"
},
{
"... |
12830919470 | from typing import Optional
class ListNode:
def __init__(self, val=0, next=None):
self.val = val
self.next = next
class Solution:
def reverseList(self, head: Optional[ListNode]) -> Optional[ListNode]:
dummy = ListNode()
while head:
cur = head
head = h... | theRobertSan/LeetCode-Solutions-Python | 206.py | 206.py | py | 419 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "typing.Optional",
"line_number": 11,
"usage_type": "name"
}
] |
11473045132 | '''
Terminal
!pip install dash==0.26.5 # The core dash backend
!pip install dash-html-components==0.12.0 # HTML components
!pip install dash-core-components==0.28.0 # Supercharged components
!pip install dash_bootstrap_components==0.13.1
'''
# Run this app with `python app.py` and
# visit http://127.0.0.1:8050/ in ... | hsyho11/python-plotly-dash | plotly_example.py | plotly_example.py | py | 4,180 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "dash.Dash",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "plotly.express.bar",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "plotly.express",
"l... |
19583758283 | """
This file is used to perform a random hyperparameter search on the Coco dataset using the baseline image captioner.
For more info on the ImageCaptionerBaseline class, please check out the docstrings in the image_captioning.py file.
"""
# Package loading
import argparse
import os
import sys
sys.path.append('..')
... | milenakapralova/socraticmodels | scripts/coco_caption_base_hp_tune.py | coco_caption_base_hp_tune.py | py | 3,103 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.chdir",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
... |
72416331709 | from socket import *
import time
import osascript
from multiprocessing import Process, Manager, Value
import os
#osascript -e 'display notification "{}" with title "{}"'
volume = 0
def recieve_data(val):
serverSock = socket(AF_INET, SOCK_STREAM)
serverSock.bind(('', 7777))
serverSock.listen(1)
connect... | Arc1el/DeepLearning_Jetson_AI | server.py | server.py | py | 1,802 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "osascript.osascript",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "osascript.osascript",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "osascript.osascript... |
20921250486 | import networkx as nx
from sklearn.cluster import SpectralClustering
def spectral_clustering(G, n_clusters=2):
adj_mat = nx.to_numpy_matrix(G)
sc = SpectralClustering(n_clusters, affinity='precomputed', n_init=100)
sc.fit(adj_mat)
clusters = {}
for i in range(len(sc.labels_)):
if sc.labels... | sharpenb/Multi-Scale-Modularity-Graph-Clustering | Scripts/clustering_algorithms/spectral_clustering.py | spectral_clustering.py | py | 454 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "networkx.to_numpy_matrix",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sklearn.cluster.SpectralClustering",
"line_number": 7,
"usage_type": "call"
}
] |
12170535231 | # Created on 24 September 2019
from square import Square, getScaledFont
from random import randint
from math import cos, sin, pi, atan, copysign
from pygame.mixer import *
from pygame.draw import rect
from pygame.locals import *
from pygame.time import Clock
from pygame.display import update
from pygame.mouse import g... | AaronOrenstein210/2048 | gameDriver.py | gameDriver.py | py | 7,331 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pygame.draw.rect",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "pygame.draw.rect",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "pygame.display.update",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "square.Square... |
18654748060 | from typing import Dict, List, Type
from src.domain.models.pets import Pets
from src.domain.use_cases import FindPet as FindPetInterface
from src.data.interfaces import PetRepositoryInterface
class FindPet(FindPetInterface):
"""Use case for Find pet"""
def __init__(self, pets_repository: Type[PetRepositoryIn... | MatheusDev20/flask-application-clean-arch | src/data/find_pet/find.py | find.py | py | 1,392 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "src.domain.use_cases.FindPet",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "typing.Type",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "src.data.interfaces.PetRepositoryInterface",
"line_number": 10,
"usage_type": "name"
},
{
... |
19400730749 | ###############################################################################
# Process to read Customer Updates #
#
# Pre-requisites: Kafka server should be running #
##############################################################################... | bbcCorp/py_microservices | src/app_services_replication/message_processor.py | message_processor.py | py | 5,987 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "os.path.dirname",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "sys.path.append",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_num... |
74021781309 | from typing import List
from collections import Counter
from time import time
import matplotlib.pyplot as plt
import numpy as np
# constants
ENGLISH_ALPHABET_CHARS = 'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ '
def get_string_size(string: str, format: str='utf8') -> int:
'''Returns size of string in b... | lucrae/zipf-score | side/score_old.py | score_old.py | py | 1,510 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "collections.Counter",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "matplotlib... |
71844063869 | from django.urls import reverse
from django.utils.translation import gettext_lazy as _
from simple_menu import MenuItem
submenu_items = [
MenuItem(
_("customers").capitalize(),
reverse("packs:sales_customer_list"),
weight=20,
icon="bx-right-arrow-alt",
),
MenuItem(
_... | dbsiavichay/faclab | apps/accounts/menus/sales.py | sales.py | py | 563 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "simple_menu.MenuItem",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.utils.translation.gettext_lazy",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.reverse",
"line_number": 8,
"usage_type": "call"
},
{
"api_n... |
4783789916 | # Adapted from pytorch examples
from __future__ import print_function
from torch import nn, optim
from railrl.core import logger
import numpy as np
from railrl.pythonplusplus import identity
from railrl.torch.core import PyTorchModule
from railrl.torch.networks import Mlp
import railrl.torch.pytorch_util as ptu
class... | snasiriany/leap | railrl/torch/vae/reprojection_network.py | reprojection_network.py | py | 4,777 | python | en | code | 45 | github-code | 6 | [
{
"api_name": "railrl.torch.pytorch_util.gpu_enabled",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "railrl.torch.pytorch_util",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "torch.optim.Adam",
"line_number": 32,
"usage_type": "call"
},
{
"... |
29924772061 | """
Author: JW
Date: 07/26/2023
Module Name: picture_capture_controls_uplink.py
Description:
This Python script is part of an image processing and classification application.
It provides various functions for interacting with images, databases, and user stacks.
The script includes functionalities such a... | JonWakefield/Anvil-Web-App | server_code/uplink_scripts/picture_capture_controls_uplink.py | picture_capture_controls_uplink.py | py | 22,281 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "stack.Stack",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "tkinter.Tk",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "tkinter.filedialog.askdirectory",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "tkinter.filedi... |
25995631588 | from dataclasses import dataclass, field
from .. import docker
from .. import exceptions
from .. import utils
from ..runtime import register, RuntimePlugin
@register
@dataclass
class Docker(RuntimePlugin):
name: str = field(init=False, default="Docker")
def init(self, graph, outputs):
# Parse the us... | parlaylabs/model | model/runtimes/docker.py | docker.py | py | 1,011 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "runtime.RuntimePlugin",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "dataclasses.field",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "runtime.register",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "dataclasses.d... |
75385540986 | from collections import defaultdict
T = int(input())
for i in range(T):
N = int(input())
c = list(map(int, input().split(' ')))
g = defaultdict(list)
for _ in range(N - 1):
edge = list(map(int, input().split(' ')))
g[edge[0]].append(edge[1])
g[edge[1]].append(edge[0])
def ... | fortierq/competitions | fb_hacker_cup/2021/qualification/c1_gold_mine.py | c1_gold_mine.py | py | 686 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.defaultdict",
"line_number": 8,
"usage_type": "call"
}
] |
27884694892 | from django.contrib import admin
from .models import Division, Farm
# Register your models here.
class DivisionAdmin(admin.ModelAdmin):
list_display = (
"division_name",
"division_code",
)
admin.site.register(Division, DivisionAdmin)
admin.site.register(Farm)
| Wageesha95/dbapp-live | farms/admin.py | admin.py | py | 289 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.contrib.admin.site.register",
"line_number": 14,
"usage_type": "call"
},... |
40796544139 | import pydantic
from pydantic import validator
import typing
from uuid import UUID, uuid4
class SchemaCustomer(pydantic.BaseModel):
id: str
name: str
last_name: str
email: pydantic.EmailStr
age: pydantic.PositiveInt
@validator('id', pre=True, always=True)
def convert_id_to_str(cls, v):
... | edmon1024/workshop-api-ejemplo-fastapi | app/schemas.py | schemas.py | py | 708 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pydantic.BaseModel",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "pydantic.EmailStr",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "pydantic.PositiveInt",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name"... |
5085250146 | from copy import deepcopy
import json
import re
from flask import render_template
from maf_api_mock_data import EGFR_BLCA_BRCA as FAKE_MAF_DATA
from hotspots.seqpeek.tumor_types import tumor_types as ALL_TUMOR_TYPES
from app_logging import get_logger
log = get_logger()
try:
from hotspots.seqpeek.gene_list import ... | cancerregulome/multiscale-mutation-hotspots | hotspots/seqpeek/view.py | view.py | py | 11,643 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "app_logging.get_logger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "hotspots.seqpeek.gene_list.gene_list",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "re.compile",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": ... |
9200799444 | from fastapi import status, HTTPException, Depends
from fastapi.security import OAuth2PasswordBearer
from jose import JWTError, jwt
from datetime import datetime, timedelta
from sqlalchemy.orm import Session
from .schema import TokenData
from app import database, models
from .config import env
SECRET_KEYS = env.SECR... | Ichi-1/FastAPI-example-api | app/oauth2.py | oauth2.py | py | 1,581 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "config.env.SECRET_KEY",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "config.env",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "config.env.ALGORITHM",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "confi... |
11670856973 |
# See subject at https://www.ilemaths.net/sujet-suite-864999.html
"""
La suite de Conway
"""
from itertools import groupby, islice
def gen_conway(germe):
"""Génère la suite de Conway à partir du germe"""
while True:
yield germe
germe = ''.join(f"{len(tuple(g))}{c}" for c, g in groupby(germe... | bdaene/ilemaths | suite-864999.py | suite-864999.py | py | 667 | python | fr | code | 0 | github-code | 6 | [
{
"api_name": "itertools.groupby",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "itertools.islice",
"line_number": 23,
"usage_type": "call"
}
] |
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