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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
9334336743 | import bpy, math, os
from mathutils import *
from bpy.app.handlers import persistent
from bpy.props import *
from .common import *
mo_names = {
'DIFFUSE': "Diffuse Color",
'DIFFUSE_SHADED': "Diffuse Shaded",
'LIGHTING_ONLY': "Lighting Only",
'SPECULAR': "Specular Color",
'SPECUL... | ucupumar/yPanel | material_override.py | material_override.py | py | 34,577 | python | en | code | 109 | github-code | 7 | [
{
"api_name": "bpy.data.libraries.load",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "bpy.data",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "bpy.data",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "bpy.data.images.g... |
72289667104 | # !pip install bs4
from bs4 import BeautifulSoup
import requests
import matplotlib.pyplot as plt
import numpy as np
user1 = 'imvickykumar999'
user2 = 'ayu4tor'
def fetch_data(user):
gurl = f'https://github.com/{user}'
r = requests.get(gurl)
soup = BeautifulSoup(r.content, 'html5lib')
a = soup.findAl... | imvickykumar999/Ideationology-Lab | Libraries/Beautiful Soup/instagit.py | instagit.py | py | 1,826 | python | en | code | 9 | github-code | 7 | [
{
"api_name": "requests.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_nu... |
25407934085 | from pyspark.sql import SparkSession
from pyspark.sql import functions as func
from pyspark.sql.types import StructType, StructField, IntegerType, LongType
# Init Spark
sp = SparkSession.builder.appName("MostPopularMovie").getOrCreate()
# Define the Schema
movieSchema = StructType([
StructField(name="UserId", dat... | BertCatsburg/Apache_Spark_Playing | Udemy_4/most-popular-movie.py | most-popular-movie.py | py | 850 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pyspark.sql.SparkSession.builder.appName",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql.SparkSession",
"line_number": 6,
"usage_type": "... |
11112991637 | #!/usr/bin/env python
# encoding: utf-8
# Before running this program, first Start HFO server:
# $> ./bin/HFO --offense-agents 1
from __future__ import division
import itertools
import math
import hfo
import argparse
from array import array
import numpy as np
import helper
import tensorflow as tf
import random
from lo... | RubenvanHeusden/HFO-Robotkeeper | example/test_keepers/q_learning_neural_low_level_agent.py | q_learning_neural_low_level_agent.py | py | 4,140 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "hfo.HIGH_LEVEL_FEATURE_SET",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.reset_default_graph",
"line_number": 36,
"usage_type": "call"
},
{... |
26503501296 | import os
import pandas as pd
import argparse
import utils as ut
def main(
input_data_dir,
store_dir,
lib_prefix,
lib_replicates,
lib_short,
):
# get the master file filtered with at least 50 reads per replicate
master_file = os.path.join(input_data_dir, "master", lib_short, "master_fi... | deeprob/starrseq_quality_control_lib | src/2_create_overlapping_windows.py | 2_create_overlapping_windows.py | py | 1,319 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.path.join",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 1... |
72850859422 | import numpy as np
import torch
import torch.nn.functional as F
from mmdet.core import multi_apply
from torch import nn
from mmocr.models.builder import LOSSES
@LOSSES.register_module()
class FCELoss(nn.Module):
"""The class for implementing FCENet loss.
FCENet(CVPR2021): `Fourier Contour Embedding for Arbi... | Ascend/ModelZoo-PyTorch | PyTorch/built-in/cv/detection/DBpp_ID4145_for_PyTorch/mmocr/models/textdet/losses/fce_loss.py | fce_loss.py | py | 7,866 | python | en | code | 31 | github-code | 7 | [
{
"api_name": "torch.nn.Module",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "torch.from_numpy",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "numpy.stack",
"lin... |
23544929007 | # -*- coding: utf-8 -*-
import django_filters
from ipware import get_client_ip
from django_filters.rest_framework import DjangoFilterBackend
from django.conf.urls import url, include
from django.shortcuts import get_list_or_404, get_object_or_404
from rest_framework import filters
from rest_framework import generics
fr... | over55/workery-django | workery/tenant_api/views/insurance_requirement.py | insurance_requirement.py | py | 4,155 | python | en | code | 10 | github-code | 7 | [
{
"api_name": "rest_framework.generics.ListCreateAPIView",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.generics",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "tenant_api.serializers.insurance_requirement.InsuranceRequirementListCreat... |
22078077235 | from PyQt5.QtWidgets import (QApplication, QWidget, QTableWidget, QTableWidgetItem,
QVBoxLayout, QHBoxLayout, QPushButton, QComboBox, QFileDialog)
from PyQt5.QtCore import Qt
import sys
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
import matplotlib.fo... | koreanbulbasaur/Project | semi_project/Design/ex/ex1.py | ex1.py | py | 3,865 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "matplotlib.font_manager.FontProperties",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matplotlib.font_manager",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.rc",
"line_number": 14,
"usage_type": "call"
},
{
... |
20120653007 | from __future__ import division
import matplotlib.pyplot as plt
import numpy as np
from scipy.stats import beta
class BernoulliBandit(object):
"""伯努利多臂老虎机,输入K表示拉杆个数."""
def __init__(self, num_bandit, probs=None):
assert probs is None or len(probs) == num_bandit
if probs is None:
... | jianzhnie/deep-rl-toolkit | examples/hands-on-rl/base_concept/multi_armed_bandit.py | multi_armed_bandit.py | py | 12,858 | python | en | code | 14 | github-code | 7 | [
{
"api_name": "numpy.random.uniform",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "numpy.argmax",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.random.rand... |
2535940146 | import cv2
import numpy as np
import matplotlib.pyplot as plt
import yaml
from glob import glob
import random
import os
ROOT = "/home/lisp3r/image-recognition"
DATASET = "{}/datasets".format(ROOT)
RESULT = "{}/result".format(ROOT)
LABELS = "{}/labels.txt".format(ROOT)
BACKUP_DATASETS = "{}/English Typed Alphabets And... | lisp3r/UIM-3D-display-output-recognition | neural-network/helper.py | helper.py | py | 2,711 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "numpy.array",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "cv2.IMREAD_GRAYSCALE",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "glob.glob",
"lin... |
12919778617 | from app import create_app
from flask import request
app = create_app()
flask_app = app.app
@flask_app.before_request
def before_request():
# This is the url which the GLB hit to verify if the service is live or not.
if request.path == '/':
return 'Heath Check Successfull', 200
if __name__ == '__ma... | akshayg294/ML-DL-Sandbox | run.py | run.py | py | 350 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "app.create_app",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "app.app",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "flask.request.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
... |
33191371138 | import numpy as np
from scipy.stats import mstats
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
train = pd.read_csv("train.csv")
train.head(2)
train.isnull().sum() # Product_category 2 and 3 have lots of NAN value.
train['Product_Category_2'].fillna(mstats.mode(train["Product_Category_2... | Raj-Yadav/Black_friday | Black_friday.py | Black_friday.py | py | 3,111 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "scipy.stats.mstats.mode",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "scipy.stats.mstats",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "scipy.stats... |
31921728793 | import torch
import torch.nn.functional as F
from allennlp.models import Model
from allennlp.modules.text_field_embedders import BasicTextFieldEmbedder
from allennlp.data import TextFieldTensors, Vocabulary
from allennlp.nn.util import get_text_field_mask
from allennlp.training.metrics import CategoricalAccuracy
from a... | dugu9sword/dne | awesome_glue/vanilla_classifier.py | vanilla_classifier.py | py | 3,676 | python | en | code | 14 | github-code | 7 | [
{
"api_name": "torch.nn",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "torch.bernoulli",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "allennlp.models.Model",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "allennlp.data.Voc... |
7359997846 | #!/usr/bin/env
#!/usr/bin/python3
# -*- coding: utf-8 -*-
from eve import Eve
from eve.auth import HMACAuth
from flask import current_app
from hashlib import sha1
import hmac
from werkzeug.contrib.fixers import ProxyFix
app = Eve()
with app.app_context():
# within this block, current_app points to app.
prin... | Dertosh/mipdd_base_rest_api | mipdd_base_rest_api/app.py | app.py | py | 1,022 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "eve.Eve",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.current_app.name",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "flask.current_app",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "werkzeug.contri... |
40965613652 | from typing import List, Dict
from app.Cards import Suit, Rank, Card
from app.PlayerCards import PlayerCards
def to_cards(cards_str: str) -> List[Card]:
return [Card(ranks_dict.get(cards_str[i]), suits_dict.get(cards_str[i+1]))
for i in range(0, len(cards_str)-1, 2)]
def to_player_cards(input_string... | f1ne2/Poker | app/Converter.py | Converter.py | py | 1,544 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "app.Cards.Card",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "app.Cards.Card",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "app.PlayerCards.PlayerCards",
... |
14168312466 | import os
import re
import matplotlib.pyplot as plt
import joblib as jl
from DataProcesser import DataProcesser
def display_missing_barchart(dataframe, columns, missing_value):
labels = []
rects = []
plt.figure(figsize=(15,6))
for m in columns:
x = dataframe[m][dataframe[m] == missing... | SamuelBaptista/ia-doctor | src/functions.py | functions.py | py | 3,088 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.bar",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "matp... |
72863586462 | # BSD 3-Clause License
#
# Copyright (c) 2017 xxxx
# All rights reserved.
# Copyright 2021 Huawei Technologies Co., Ltd
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must ... | Ascend/ModelZoo-PyTorch | PyTorch/contrib/cv/others/3D_EDSR_ID3005_for_PyTorch/edsr_x3_3d.py | edsr_x3_3d.py | py | 3,665 | python | en | code | 31 | github-code | 7 | [
{
"api_name": "torch.nn.Conv3d",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "torch.nn.Module",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_nu... |
19286809646 |
# coding: utf-8
# In[1]:
import numpy as np
import pandas as pd
import json
from ast import literal_eval
pd.set_option('display.max_columns', 500)
# In[2]:
d = pd.read_csv("/wdblue/gstore_spending/all/train_v2.csv")
# In[36]:
# for i in range(600):
# x = json.loads(d.hits[i])
# print(x.keys())
# ... | donaldtang8/Customer-Revenue-Prediction | python/wrangle_trainv2.py | wrangle_trainv2.py | py | 2,363 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pandas.set_option",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "ast.literal_eval",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "ast.literal_eval",... |
72219194782 | from django.urls import path
from customuser_app import admin
from . import views
urlpatterns = [
path("", admin.site, name="admin"),
path("", views.index, name="homepage"),
path("adduser/", views.adduser_view, name="adduser"),
path("login/", views.login_view, name="login"),
path("logout/", views.... | lnginyard/django-custom-users | django-custom-users/customuser_app/urls.py | urls.py | py | 350 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "customuser_app.admin.site",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "customuser_app.admin",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "dja... |
37017941862 | import solara
@solara.component
def Page():
clicks, set_clicks = solara.use_state(0)
color = "green"
if clicks >= 5:
color = "red"
def on_click():
set_clicks(clicks + 1)
print("clicks", clicks) # noqa
return solara.Button(label=f"Clicked: {clicks}", on_click=on_click, c... | civvic/solara | solara/template/button.py | button.py | py | 332 | python | en | code | null | github-code | 7 | [
{
"api_name": "solara.use_state",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "solara.Button",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "solara.component",
"line_number": 4,
"usage_type": "attribute"
}
] |
24729279366 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import sys
import requests
from requests import ConnectionError
# The following disables the InsecureRequests warning and the 'Starting new HTTPS connection' log message
from requests.packages.urllib3.exceptions import InsecureRequestWarning
requests.packages.urllib3.di... | byt3bl33d3r/CrackMapExec | cme/modules/empire_exec.py | empire_exec.py | py | 5,647 | python | en | code | 7,833 | github-code | 7 | [
{
"api_name": "requests.packages.urllib3.disable_warnings",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "requests.packages.urllib3.exceptions.InsecureRequestWarning",
"line_number": 11,
"usage_type": "argument"
},
{
"api_name": "requests.packages",
"line_number":... |
71353525024 | # import libraries
import sys
import pandas as pd
import numpy as np
import sqlite3
import nltk
import string
import re
from sqlalchemy import create_engine
from sklearn.ensemble import RandomForestClassifier
from sklearn.feature_extraction.text import CountVectorizer, TfidfTransformer
from sklearn.multioutput ... | mumtazdemirci/ML-Pipeline | models/train_classifier.py | train_classifier.py | py | 4,274 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "nltk.download",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.create_engine",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "pandas... |
73941686944 | import os
import logging
logger = logging.getLogger()
logger.setLevel(logging.INFO)
def handler(event, context):
alarm_dictionary = {}
fragment = event["fragment"]
monitoring_topic = os.environ['SNSTopic']
logger.info('Input Template: {}'.format(fragment))
resources = fragment['Resources']
for... | aws-quickstart/cloudwatch-alarm-macro | src/alarm_macro.py | alarm_macro.py | py | 13,461 | python | en | code | 12 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 10,
"usage_type": "attribute"
}
] |
28155901050 | from django.test import TestCase
from rest_framework.test import APIRequestFactory
# Create your tests here.
from .persister import WorkoutWeekPersister
from .models import ResistanceTrainingExercise
from .week_upgrade import valid_fitness, upgrade
from epilogue.models import Customer
from workoutplan.generator impo... | dotslash227/98fitcortex | testing/workout/tests.py | tests.py | py | 2,620 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "rest_framework.test.APIRequestFactory",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.test.TestCase",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "models.ResistanceTrainingExercise.objects.count",
"line_number": 22,
"usage_ty... |
40977519591 | # https://leetcode.cn/problems/prefix-and-suffix-search/
from itertools import zip_longest
class node:
def __init__(self) -> None:
self.child ={}
self.idx =-1
class WordFilter:
def __init__(self, words):
self.root = node()
for i ,word in enumerate(words):
... | wherby/code | algorithm/trieTree/questions/q745.2.py | q745.2.py | py | 1,508 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "itertools.zip_longest",
"line_number": 39,
"usage_type": "call"
}
] |
72864957662 | import os
import numpy as np
import torch
import time
from PIL import Image
from argparse import ArgumentParser
from torch.autograd import Variable
from erfnet_nobn import ERFNet
from transform import Relabel, ToLabel, Colorize
import torch.backends.cudnn as cudnn
cudnn.benchmark = True
def main(args):
model =... | Ascend/ModelZoo-PyTorch | PyTorch/contrib/cv/semantic_segmentation/ErfNet/eval/eval_forwardTime.py | eval_forwardTime.py | py | 1,841 | python | en | code | 31 | github-code | 7 | [
{
"api_name": "torch.backends.cudnn.benchmark",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "torch.backends.cudnn",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "erfnet_nobn.ERFNet",
"line_number": 18,
"usage_type": "call"
},
{
"api_n... |
24324541965 | from django.urls import reverse
from rest_framework import status
from rest_framework.test import APITestCase
from .models import Hostel
class HostelTests(APITestCase):
def setUp(self):
# Create a test hostel
self.hostel_data = {
'name': 'Test Hostel',
'location'... | esmond-adjei/hnh-backend | hnh_accommodation/hostel/tests.py | tests.py | py | 2,768 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "rest_framework.test.APITestCase",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "models.Hostel.objects.create",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "models.Hostel.objects",
"line_number": 17,
"usage_type": "attribute"
},
{... |
4404586253 | import numpy as np
import cv2
image = cv2.imread("resource/terminator.jpg")
cv2.imshow("Original", image)
r = 150.0/image.shape[1]
dim = (150, int(image.shape[0]*r))
resized = cv2.resize(image,dim, interpolation=cv2.INTER_AREA)
cv2.imshow("Resized (Width)", resized)
r = 50.0/image.shape[0]
dim = (int(image.shape[1]... | SweiLz/Image_Processing | Practical Python and OpenCV/02_1_3_resizing.py | 02_1_3_resizing.py | py | 1,030 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "cv2.imread",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.resize",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.INTER_AREA",
"line_number": 10... |
71003454622 | from rest_framework.urlpatterns import format_suffix_patterns
from rest_framework.authtoken.views import obtain_auth_token
from django.urls import path, include
from . import views
urlpatterns = {
path('auth/',
include('rest_framework.urls',
namespace='rest_framework')
),
path(
'm... | jpcasa/jpcasabianca-api | api/urls.py | urls.py | py | 4,473 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.include",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.urls.path... |
74897197024 | import pytest
import requests
@pytest.mark.jsonplaceholdertest
def test_post_request():
my_obj = {
"userId": 1,
"id": 1,
"title": 'foo',
"body": 'bar'
}
response = requests.put("https://jsonplaceholder.typicode.com/posts/1", data=my_obj)
assert response.status_code == ... | allaselenium/apiAutomation | tests/json_placeholder/test_put_request.py | test_put_request.py | py | 324 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "requests.put",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 5,
"usage_type": "attribute"
}
] |
72223585183 | def call():
from Common.Command import IntervalCommand, Command
from TradeEngine.GlobleConf import SysWidget, StrategyWidget, Shares
from TradeEngine.MonitorClient import Monitor
import traceback
import json
def get_shares_of_strategy(tid, strategy):
try:
shares = StrategyWi... | algo2019/algorithm | AlgorithmEngine/TradeEngine/RegisterWebCall/GetPosition.py | GetPosition.py | py | 1,597 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "TradeEngine.GlobleConf.StrategyWidget.get_shares_mgr",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "TradeEngine.GlobleConf.StrategyWidget",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "TradeEngine.GlobleConf.StrategyWidget.get_account_mgr"... |
5206421598 | # -*- coding: utf-8 -*-
"""Functions for pulling data from the USAFacts website."""
from datetime import date
import hashlib
from logging import Logger
import os
import numpy as np
import pandas as pd
import requests
# Columns to drop the the data frame.
DROP_COLUMNS = [
"countyfips",
"county name",
"stat... | kosovsky/recruiting-technical-usafacts_error | usafacts/delphi_usafacts/pull.py | pull.py | py | 6,707 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "requests.get",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "datetime.date.today",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "os.makedirs",
"lin... |
73348671264 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals, division
import gevent.monkey
gevent.monkey.patch_all()
from gevent.wsgi import WSGIServer
import sys
from ivr.common.logger import default_config as default_log_config
from ivr.common.ws import WSServer
from ivr.common.schema import Schema, Use, IntV... | dulton/IVR | ivr/ivc/main.py | main.py | py | 6,674 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "gevent.monkey.monkey.patch_all",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "gevent.monkey.monkey",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "gevent.monkey",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "i... |
33468621460 | # coding: utf8
# config.py
# 11/1/2012 jichi
#
# This file must be self-contained.
# Be careful of unicode requirement for locations
import os
## YAML parsing ##
def u_from_native(s):
# Following contents are copied from sakurakit.skunicode
import locale
lc, enc = locale.getdefaultlocale()
return s.decode(en... | Dangetsu/vnr | Frameworks/Sakura/py/apps/reader/config.py | config.py | py | 19,233 | python | en | code | 87 | github-code | 7 | [
{
"api_name": "locale.getdefaultlocale",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
... |
23477665407 | # Implement a basic gradient descent procedure to minimize scalar functions of a vector argument.
# Write it generically, so that you can easily specify the objective function and the function
# to compute the gradient. You should be able to specify the initial guess, the step size and the
# convergence criterion (a th... | Srinithi-Ramesh/Machine-Learning | PA1/PA1_Final.py | PA1_Final.py | py | 19,440 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "math.inf",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "collections.Iterable",
"line_number": 38,
"usage_type": "argument"
},
{
"api_name": "numpy.subtract",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "math.sin",
... |
40553037736 | import json
from urllib import request
moneda="bitcoin"
api_key = "b2668cd3e4f820172a995365c6085654"
unidades ="metric"
url = "ttps://api.blockchain.com/v3/exchange" % (moneda, unidades, api_key)
#print (url)
response = request.urlopen(url)
http_body = response.readline().decode('utf-8')
print (http_... | Serg-ux/EjerciciosPython | Sockets/sockets/P4-12-a-blockchain.py | P4-12-a-blockchain.py | py | 624 | python | es | code | 1 | github-code | 7 | [
{
"api_name": "urllib.request.urlopen",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "urllib.request",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "json.loads",
"line_number": 19,
"usage_type": "call"
}
] |
71081817183 | ##\file fsmattachdlg.py
##\brief Dialog to set the parent FSMs used by each agent type
import wx
import pynebula
import app
import format
import fsm
import servers
import togwin
# FSMAttacherDialog class
class FSMAttacherDialog(togwin.ChildToggableDialog):
"""Dialog to set the parent FSMs used ... | xuebai5/TheZombieEngine | zombie/code/conjurer/conjurer/gui/fsmattachdlg.py | fsmattachdlg.py | py | 5,768 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "togwin.ChildToggableDialog",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "togwin.ChildToggableDialog.__init__",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "togwin.ChildToggableDialog",
"line_number": 24,
"usage_type": "attrib... |
877186615 | from django.shortcuts import render
from datetime import datetime
# Create your views here.
def index(request):
date = datetime.now()
new_year = date.month == 1 and date.day == 1
return render(request, 'newyear/index.html', {
'newyear': new_year
}) | sibarras/harvardCS50 | django/lecture3/newyear/views.py | views.py | py | 274 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "datetime.datetime.now",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.shortcuts.render",
"line_number": 9,
"usage_type": "call"
}
] |
25419159604 | """
Attempts to gracefully stop a running ondevice daemon
After sending the terminate signal, it'll wait for up to five seconds for the
daemon to stop.
Only if the daemon was running, it'll return 0
Returns:
- 0 on success
- 1 on exceptions (if you encounter those, let us know)
- 2 if the daemon wasn't running
- 3 on... | ondevice/ondevice-python | ondevice/commands/stop_cmd.py | stop_cmd.py | py | 1,733 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "ondevice.core.daemon.getDaemonPID",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "ondevice.core.daemon",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "sys.stderr.write",
"line_number": 33,
"usage_type": "call"
},
{
"api_name"... |
21570412513 | import matplotlib.pyplot as plt
import numpy as np
# creating figure and axes
fig, ax = plt.subplots(2, 2, sharex=True, sharey=True)
# creating x axis
axis_len = 2000
phi = np.arange(-np.pi, np.pi, (2*np.pi)/2000)
# creating visual blobs
blob_widths = [600, 150]
offsets = [0, int(axis_len/4)]
centers = [int(axis_len... | scioip34/ABM | abm/projects/visual_flocking/vf_utils/blobs_vs_edges.py | blobs_vs_edges.py | py | 1,873 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "numpy.arange",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
... |
29654992166 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from matplotlib import style
df = pd.read_csv("forex.csv", index_col='date')
df.head()
df.index = pd.to_datetime(df.index)
#Get Number Of All The Records concerning the USD to EGP Exchange
print('Data has '+st... | Hendawyy/forex-analysis-prediction | Forex Analysis.py | Forex Analysis.py | py | 4,610 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "seaborn.set",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "matplotlib.style.use",
... |
40090763774 | from forms import RegisterForm
from django.shortcuts import render_to_response
from django.http import HttpResponseRedirect, Http404
from django.core.context_processors import csrf
from activation import activate_user
def register(request):
if request.method == 'POST':
form = RegisterForm(request.POST)
... | nesl/Visualizing-Server-Data | Server_data_visualization/accounts/views.py | views.py | py | 797 | python | en | code | 10 | github-code | 7 | [
{
"api_name": "forms.RegisterForm",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.http.HttpResponseRedirect",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "forms.RegisterForm",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": ... |
43734750755 | from django.shortcuts import render, redirect, get_object_or_404
from django.contrib.auth.forms import UserCreationForm
from .forms import CreateUserForm
from django.contrib import messages
from django.contrib.auth import authenticate, login, logout
from django.contrib.auth.decorators import login_required
from django.... | KojoHero/MainUpdate | MyApp/views.py | views.py | py | 3,540 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.shortcuts.redirect",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "forms.CreateUserForm",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "forms.CreateUserForm",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "d... |
38581899740 | import numpy as np
import torch
from more_itertools import grouper, windowed
from dataclasses import dataclass
from functools import reduce
from itertools import accumulate, chain, groupby
from operator import add, sub, itemgetter
from pathlib import Path
def split_instance(text):
url, context, question, answer... | kiendang/bioread | src/bert-qa/preprocess.py | preprocess.py | py | 7,729 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "more_itertools.windowed",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "torch.Tensor",
"line_number": 66,
"usage_type": "attribute"
},
{
"api_name": "torch.Tensor",
"line_number": 67,
"usage_type": "attribute"
},
{
"api_name": "torch.Ten... |
31765383252 | import argparse
import base64
import datetime
import json
import sys
if (2, 6) <= sys.version_info < (3, 0):
from httplib import HTTPConnection, HTTPSConnection
from urlparse import urlparse
else:
from http.client import HTTPConnection, HTTPSConnection
from urllib.parse import urlparse
API_ENDPOINT = ... | WANdisco/livedata-migrator-scripting | schedular/ldm-schedular.py | ldm-schedular.py | py | 5,867 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "sys.version_info",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "base64.b64encode",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "urllib.parse.urlparse",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "http.clie... |
8281616052 | # encoding=utf-8
from collections import OrderedDict
def soil_results(sample):
def level_in_range(value, levels):
for max_value, level in levels.iteritems():
if not isinstance(max_value, (int, float)):
return level
if value < max_value:
return leve... | SEL-Columbia/microsites | soillab/result_logic.py | result_logic.py | py | 25,192 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "collections.OrderedDict",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"line_number": 84,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"line_number": 121,
"usage_type": "call"
},
{
"api_name... |
27926250221 | from django.shortcuts import render, redirect
from django.core.exceptions import ObjectDoesNotExist
# Translate
from django.utils.translation import gettext as _
from .models import Product, Shoe, Accessorie
# Create your views here.
def index(request):
user = request.user
last_added = Product.objects.all... | VaheAvetikyan/cattlea | cattlea/apps/core/views.py | views.py | py | 1,402 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "models.Product.objects.all",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "models.Product.objects",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "models.Product",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": ... |
39190614517 | """Provides access to secrets stored in a .env file."""
import os as _os
from pathlib import Path as _Path
from dotenv import load_dotenv as _load_dotenv
_load_dotenv()
def _get_setting(key: str) -> str:
"""Retrieve an environment variable."""
return _os.environ.get(key)
DCA_TOJUST_NFU_DATABAS... | RoseaghTerrins/Lit_Automation | settings.py | settings.py | py | 6,362 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"... |
6726849947 | import numpy as np
import utils
import kalman_filter
import matplotlib.pyplot as plt
import os
baseDir = os.path.dirname(__file__)
def trajectory_simulation(x, y, vx, vy, ax, ay, T):
x_t = []
for t in range(T):
x_t.append([x+vx*t+0.5*ax*t**2, vx+ax*t, y+vy*t+0.5*ay*t**2, vy+ay*t])
return x_t
def ... | coolis/kalman_filter_example | trajectory_simulation.py | trajectory_simulation.py | py | 1,766 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.path.dirname",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.normal",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"li... |
71935705183 | r"""Utility functions to mock SCPI device over TCP.
Example Usage:
MockServerHandler.AddLookup(r'\*CLS', None)
SetupLookupTable()
SERVER_PORT = 5025
MockTestServer(('0.0.0.0', SERVER_PORT), MockServerHandler).serve_forever()
"""
import inspect
import logging
import re
import socketserver
class MockTestServe... | arccode/factory | py/test/rf/scpi_mock.py | scpi_mock.py | py | 2,222 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "socketserver.ThreadingMixIn",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "socketserver.TCPServer",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "socketserver.StreamRequestHandler",
"line_number": 20,
"usage_type": "attrib... |
39560215226 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
# django项目搭建与Session使用详解
# 前言
# Django完全支持也匿名会话，简单说就是使用跨网页之间可以进行通讯，比如显示用户名，用户是否已经发表评论。session框架让你存储和获取访问者的数据信息，这些信息保存在服务器上（默认是数据库中），以 cookies 的方式发送和获取一个包含 session ID的值，并不是用cookies传递数据本身。
# 本文给大家详细介绍了关于django项目搭建与Session使用的相关内容，分享出来供大家参考学习，下面话不多说了，来一起看看详细的介绍吧
# django+sessio... | isoundy000/learn_python | learn_django/learn_session_0.py | learn_session_0.py | py | 4,958 | python | zh | code | 0 | github-code | 7 | [
{
"api_name": "sys.setdefaultencoding",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "django.contrib.sessions.backends.db.SessionStore",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "django.contrib.sessions.models.Session.objects.all",
"line_number": 4... |
72428693343 | # Currently use Namespace variables, Need to add a hyperparameter tuning package
from argparse import Namespace
args = Namespace()
args.description = "Training ..."
args.max_epochs = 20
args.data_path = "./data/"
# args.limit_train_batches = 0.01
# args.limit_val_batches = 0.01
# args.limit_test_batches = 0.01
args.t... | SurajDonthi/Conformer | conformer/tuner.py | tuner.py | py | 428 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "argparse.Namespace",
"line_number": 4,
"usage_type": "call"
}
] |
70957024223 | # -*- coding: utf-8 -*-
"""
Created on Wed Dec 14 20:53:05 2016
@author: yamane
"""
import numpy as np
from skimage import draw
class RandomCircleSquareDataset(object):
def __init__(self, image_size=500, circle_r_min=50, circle_r_max=150,
size_min=50, size_max=200, p=[0.3, 0.3, 0.4], output_siz... | YamaneSasuke/correct_aspect_ratio | datasets.py | datasets.py | py | 3,222 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "numpy.stack",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.random.choice",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"... |
18125111623 | """Define data models for various Ridwell objects."""
from __future__ import annotations
from collections.abc import Awaitable, Callable
from dataclasses import dataclass, field
from datetime import date, datetime
from enum import Enum
from typing import Any, TypedDict, cast
from titlecase import titlecase
from .con... | bachya/aioridwell | aioridwell/model.py | model.py | py | 7,911 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "enum.Enum",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "typing.TypedDict",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "enum.Enum",
"line_number": 52,
"usage_type": "name"
},
{
"api_name": "const.LOGGER.warning",
"line... |
38872000250 | import numpy as np
from jax import numpy as jnp
from scipy import sparse
from jax._src import abstract_arrays
from jax._src import ad_util
from jax import core
from jax.interpreters import ad
from jax import lax
from jax.experimental import sparse as jsparse
from functools import partial
## =========================... | dpsimpson/blog | posts/2022-05-20-to-catch-a-derivative-first-youve-got-to-think-like-a-derivative/python/linalg.py | linalg.py | py | 15,032 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "jax.core.Primitive",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "jax.core",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "scipy.sparse.csc_array",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "scipy.sparse",
... |
27409135440 | from setuptools import find_packages
from setuptools import setup
package_name = 'jetbot_base'
setup(
name=package_name,
version='0.14.0',
packages=find_packages(exclude=['test']),
data_files=[
('share/ament_index/resource_index/packages',
['resource/' + package_name]),
('s... | kyopark2014/aws-robomaker | cloud-connected-robots/building-cloud-connected-robots-reinvent2021/robot_ws/src/jetbot_base/setup.py | setup.py | py | 1,382 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "setuptools.setup",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 9,
"usage_type": "call"
}
] |
35771312564 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import os
import glob
import cv2
cwd = os.getcwd()
def Seperate(loadfile,savefolder):
img = cv2.imread(loadfile + ".jpg",0)
img = 255 - img
ydone = False
start_ypoints_crop = []
end_ypoints_crop = []
for row in range(len(... | shahab1376/Persian-MNIST | main.py | main.py | py | 4,373 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.getcwd",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.copyMakeBorder",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "cv2.BORDER_CONSTANT",
"lin... |
30753273441 | from django.db import models
from shop.models import Electronic,Jewellery,Fashion
from django.contrib.auth.models import User
from django.utils import timezone
from .ultis.genirite_code import genirite_code
# Create your models here.
ORDER_STATUS=(
('Recevied','Recevied'),
('Processed','Processed'),
('Sh... | ehsanmorgan/create-shopping-app-using-django | order/models.py | models.py | py | 1,422 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "django.db.models.Model",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 17,
"usage_type": "call"
},
{
"api_name"... |
21674741331 | import json
import uuid
from google.cloud import firestore
with open('artists.json') as data_file:
artists = json.load(data_file)
db = firestore.Client()
for artist in artists:
artist["id"] = str(uuid.uuid4())
doc_ref = db.collection(u'artists').document(artist["id"])
doc_ref.set(artist)
| comiko-app/data_importer_firestore | import_artists.py | import_artists.py | py | 309 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "json.load",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "google.cloud.firestore.Client",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "google.cloud.firestore",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "uuid.uuid... |
33935051226 | #!/usr/bin/env python2.7
import cauv
import cauv.messaging as messaging
import cauv.pipeline as pipeline
import cauv.node
from utils.control import PIDController
from utils.timeaverage import TimeAverage
from cauv.debug import debug, info, warning, error
import AI
import threading
from math import degrees, cos, sin,... | lixiii/CAUV_old_software | auv/scripting/script_library/follow_pipe.py | follow_pipe.py | py | 10,185 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "AI.Script",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "AI.Script",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "threading.Event",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "threading.Event",
"... |
19366194145 | import os
from collections import Counter
#собираем пути и приводим их к виду 'папка?расширение'
#символ '?' нужен для того, чтобы потом отделить имя папки от расширения
def collect_paths():
dir_ext = []
start_path = '.'
for root, dirs, files in os.walk(start_path):
for file in files:
... | kayajiva/HSE-Programming1 | hw13/6 вариант. 20.05.2018.py | 6 вариант. 20.05.2018.py | py | 1,632 | python | ru | code | 0 | github-code | 7 | [
{
"api_name": "os.walk",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.path.split",
"line_number": ... |
26243754894 | #/usr/bin/env python
import datetime
import logging
import random
import time
from slackclient import SlackClient
NUDGE_TEXT = ['hello?', 'any news?', 'could you please click one of the buttons?',
'still there?']
class SlackWorker(object):
"""
Iterates over tickets, creates/opens conversations... | sy-bee/talktome | lib/messaging.py | messaging.py | py | 6,440 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "slackclient.SlackClient",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "... |
39295529835 |
import os
import json
from _thread import start_new_thread
from gi.repository import GLib, Gtk, GdkPixbuf, Notify
from .ChatController import ChatController
from .CreateTeamController import CreateTeamController
from .SearchChannelsController import SearchChannelsController
from Mattermost.ChannelModel import Channe... | addiks/gmattermost | src/Controller/TeamController.py | TeamController.py | py | 13,795 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "Mattermost.ChannelModel.ChannelModel",
"line_number": 59,
"usage_type": "name"
},
{
"api_name": "Mattermost.ChannelModel.ChannelModel",
"line_number": 62,
"usage_type": "name"
},
{
"api_name": "ChatController.ChatController",
"line_number": 70,
"usage_type"... |
16066737079 | # -*- coding: utf-8 -*-
import numpy as np
import copy
import skimage.io as io
import os
import sys
from skimage import morphology
from skimage.morphology import watershed
from skimage import transform
from scipy import ndimage
from argparse import ArgumentParser
from utils import Utils
class Evaluator():
def __i... | funalab/QCANet | src/lib/evaluation.py | evaluation.py | py | 5,993 | python | en | code | 31 | github-code | 7 | [
{
"api_name": "numpy.array",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_numb... |
10479986371 | # encoding: utf-8
import ntpath
import os
import numpy as np
import PIL
import pytest
from histolab.exceptions import LevelError, SlidePropertyError
from histolab.masks import BiggestTissueBoxMask, TissueMask
from histolab.slide import Slide
from ..fixtures import EXTERNAL_SVS, SVS
from ..unitutil import on_ci
from... | sarthakpati/histolab | tests/integration/test_slide.py | test_slide.py | py | 6,867 | python | en | code | null | github-code | 7 | [
{
"api_name": "histolab.slide.Slide",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "fixtures.SVS.CMU_1_SMALL_REGION",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "fixtures.SVS",
"line_number": 22,
"usage_type": "name"
},
{
"api_name":... |
37381223621 | import contextlib
import datetime
import os
import sqlite3
import openpyxl
from dotenv import load_dotenv
class FileFormatError(Exception):
pass
def validate_row(
row,
type_mask=(
(int, float), str, (int, float), (int, float), (int, float),
(int, float), (int, float), (i... | IBA20/matcher_tt | parser.py | parser.py | py | 4,185 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "openpyxl.load_workbook",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "dotenv.load_d... |
28862655507 | # vim: set fileencoding=utf8:
from setuptools import setup, find_packages
version = '0.1.0'
def read(filename):
import os.path
return open(os.path.join(os.path.dirname(__file__), filename)).read()
setup(
name="django-packageutils",
version=version,
description = "Utility collection of Django packa... | lambdalisue/django-packageutils | setup.py | setup.py | py | 1,163 | python | en | code | 5 | github-code | 7 | [
{
"api_name": "os.path.path.join",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "os.path.path.dirname",
"... |
6553280388 | #!/usr/bin/env python3
import os
import argparse
import logging
import warnings
from common import (start_container, stop_container, run_in_container, get_container_id, container_mkdir, container_log, copy_log_from_container, image_name,
copy_git_to_container, copy_to_container)
warnings.filterwar... | mminichino/host-prep-lib | tests/test_m.py | test_m.py | py | 4,333 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
22071726151 | from decimal import Decimal
from typing import Union
from django.conf import settings
from django.http import HttpRequest
from apps.coupons.models import Coupon
from apps.shop.models import Product
class Cart:
"""
Class representing a shopping cart for a user.
Attributes:
- session: session data fo... | ch4zzy/online-shop | apps/cart/cart.py | cart.py | py | 5,083 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.http.HttpRequest",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "django.conf.settings.CART_SESSION_ID",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 43,
"usage_type": "name"
},
{... |
28465901879 | from collections import deque
class MyQueue:
def __init__(self):
self.input = deque()
self.output = deque()
def push(self, x: int) -> None:
self.input.append(x)
def pop(self) -> int:
if self.empty():
return -1
if len(self.output) == 0:
... | JianLiu666/StudyNote-DSA | leetcode/p00232/p00232.py | p00232.py | py | 953 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "collections.deque",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 7,
"usage_type": "call"
}
] |
37482701324 | import torch
def pos_int_to_base(x, b=2, extend_zero_to_length=0):
if x == 0:
return [0]
out = []
cur = x
while cur > 0:
out.append(int(cur % b))
cur = int(cur / b)
if extend_zero_to_length>0 and len(out) < extend_zero_to_length:
out += [0]*(extend_zero_to_length - len(out))
return out[::-1]
def compute... | siyucosmo/ML-Recon | periodic_padding.py | periodic_padding.py | py | 2,033 | python | en | code | 131 | github-code | 7 | [
{
"api_name": "torch.nn.ConstantPad3d",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "torch.rand",
"line_number": 62,
"usage_type": "call"
}
] |
27363448472 | import numpy as np
import time
import pickle
import json
from copy import deepcopy
from pycvi.cluster import compute_cluster_params, prepare_data
from typing import List, Sequence, Tuple, Union, Any, Dict
from . import Vertex
from . import Edge
from . import Component
from ._set_default_properties import (
_set_m... | nglm/persigraph | persigraph/persistentgraph/persistentgraph.py | persistentgraph.py | py | 29,333 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "numpy.ndarray",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "numpy.ndarray",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "numpy.ndarray",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "_set_default... |
30090261214 | import os
from dotenv import load_dotenv
import ptbot as alien_bot
from pytimeparse import parse
def start_countdown(chat_id, text):
time = parse(text)
message_id = bot.send_message(chat_id, f'Осталось {time}')
bot.create_countdown(
time,
update_telegram_message,
chat_id=chat_id,
... | DrSleep16/timer_in_telegram | main.py | main.py | py | 1,345 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pytimeparse.parse",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "dotenv.load_dotenv",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "ptbot.Bot",
"line_n... |
74952069984 | #!/usr/bin/env python
# -*- coding: UTF-8 -*-
'''=================================================
@Project -> File ：qiyangPythonCrawler -> start
@IDE ：PyCharm
@Author ：Mr. cyh
@Date ：2021-05-31 10:41
@Desc ：https://www.chyxx.com/minglu/list_12832.html
=================================================='''
impo... | j38472/qiyangPythonCrawler | 产业信息网_end/start.py | start.py | py | 4,832 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "myJDBC.jdbc.mySqlJdbc",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "fake_useragent.UserAgent",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "time.time",... |
5169361376 | import scipy.io as io
import numpy as np
self = io.netcdf.netcdf_file('/home/hendrik/data/global/AHF_2005_2.5min.nc','r')
self.fp.seek(0)
magic = self.fp.read(3)
self.__dict__['version_byte'] = np.fromstring(self.fp.read(1), '>b')[0]
# Read file headers and set data.
# stolen from scipy: /usr/lib/python2.7/dist-pack... | hendrikwout/pynacolada | trash/raw_read_nc.py | raw_read_nc.py | py | 570 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "scipy.io.netcdf.netcdf_file",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "scipy.io.netcdf",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "scipy.io",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "numpy.fromstri... |
6792461740 | import boto3
import sys
db = sys.argv[1]
rds = boto3.client('rds')
try:
resp = rds.delete_db_instance(
DBInstanceIdentifier = db,
SkipFinalSnapshot = True
)
print(resp)
except Exception as e:
print(e) | Pawel22729/aws | python_aws/scripts/delete_db_instance.py | delete_db_instance.py | py | 237 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sys.argv",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "boto3.client",
"line_number": 4,
"usage_type": "call"
}
] |
12256443447 | from trped_main import MainWindow as trpedmw
from aiced_main import MainWindow as aicedmw
from stged_main import MainWindow as stgedmw
from UI.ucpre_allinone import Ui_MainWindow as LauncherMain
from PyQt5 import QtWidgets
from PyQt5.QtCore import pyqtSlot
import sys
class UCPAllInOne(QtWidgets.QMainWindow, LauncherM... | CIO61/ucp_re_gui | ucpre_allinone.py | ucpre_allinone.py | py | 1,191 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "PyQt5.QtWidgets.QMainWindow",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtWidgets",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "UI.ucpre_allinone.Ui_MainWindow",
"line_number": 10,
"usage_type": "name"
},
{
"... |
34357830457 | from django.shortcuts import redirect, render
from store.models import Customer
from store.models import Product
from store.models import Order
from django.views import View
class Checkout(View):
def get(self, request):
# if customer is already logged in
if request.session.get('customer_id'):
... | Sachin-Kahandal/eshop | store/views/checkout.py | checkout.py | py | 1,152 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.views.View",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "store.models.Customer.objects.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "store.models.Customer.objects",
"line_number": 16,
"usage_type": "attribute"
},
{
... |
19087776548 | import asyncio
import pandas as pd
import aiohttp
import matplotlib.pyplot as plt
from io import BytesIO
from openpyxl import Workbook
from openpyxl.utils.dataframe import dataframe_to_rows
from openpyxl.drawing.image import Image
async def is_url_accessible(session, url):
try:
async with session.get(url)... | razvan233/exadel-ml | check_urls_and_generate_stats.py | check_urls_and_generate_stats.py | py | 2,320 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "aiohttp.ClientError",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "aiohttp.ClientSession",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "asynci... |
30026456962 | import json
import pprint
import certifi
import mt940
import pymongo
import xmltodict
from flask import Flask, render_template, request, flash, redirect, url_for, session
from flask_login import LoginManager, login_user, current_user, login_required
from flask_table import Table, Col
from flask_wtf import FlaskForm
fr... | Rares-001/sport_accounting_ | app.py | app.py | py | 8,793 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "flask.Flask",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "flask_login.LoginManager",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "database.db.init_app",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "database.db... |
6976742733 | import pytest
from ItsPrompt.data.expand import ExpandOption, process_data
def test_process_data_standard_options():
options = ("first", "second", "third")
result = [
ExpandOption("f", "first", "first", False),
ExpandOption("s", "second", "second", False),
ExpandOption("t", "third", ... | TheItsProjects/ItsPrompt | tests/data/test_expand.py | test_expand.py | py | 1,750 | python | en | code | 24 | github-code | 7 | [
{
"api_name": "ItsPrompt.data.expand.ExpandOption",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "ItsPrompt.data.expand.ExpandOption",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "ItsPrompt.data.expand.ExpandOption",
"line_number": 12,
"usage_type... |
41075968355 | import logging
from datetime import datetime
from sqlalchemy import asc
from ibm import get_db_session
from ibm.models import DisasterRecoveryBackup, DisasterRecoveryResourceBlueprint, WorkflowRoot, WorkflowTask
from ibm.tasks.celery_app import celery_app
LOGGER = logging.getLogger(__name__)
@celery_app.task(name="... | talha927/cloud-ibm-test | ibm/tasks/draas_tasks/schedule_backup_tasks.py | schedule_backup_tasks.py | py | 5,159 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "ibm.get_db_session",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "ibm.models.DisasterRecoveryResourceBlueprint",
"line_number": 20,
"usage_type": "argument"
},
{
... |
72864057182 | import bisect
import torch
import torch.utils.data as data
from alphapose.models.builder import DATASET, build_dataset
@DATASET.register_module
class ConcatDataset(data.Dataset):
"""Custom Concat dataset.
Annotation file must be in `coco` format.
Parameters
----------
train: bool, default is Tr... | Ascend/ModelZoo-PyTorch | PyTorch/contrib/cv/pose_estimation/AlphaPose/alphapose/datasets/concat_dataset.py | concat_dataset.py | py | 2,416 | python | en | code | 31 | github-code | 7 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.utils.data",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "alphapose.models.builder.build_dataset",
"line_number": 41,
"usage_type": "call"
},
{
... |
34965426079 | from src.settings import Settings
from src.audio_devices import get_devices
import sounddevice
import soundfile
import threading
import numpy as np
from logging import info
from os import path
BLOCK_SIZE = 1024
class InvalidDeviceIDError(Exception):
def __init__(self, id: "int") -> None:
su... | IMatynia/epicki-soundboard-v3 | src/audio_handle.py | audio_handle.py | py | 4,480 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "threading.Thread",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "threading.Thread.__init__",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": ... |
72869463262 | import argparse, json, os
from imageio import imwrite
import torch
from sg2im.model import Sg2ImModel
from sg2im.data.utils import imagenet_deprocess_batch
import sg2im.vis as vis
parser = argparse.ArgumentParser()
parser.add_argument('--checkpoint', default='sg2im-models/vg128.pt')
parser.add_argument('--scene_gra... | Ascend/ModelZoo-PyTorch | PyTorch/dev/cv/image_classification/SG2IM_ID0786_for_PyTorch/scripts/run_model.py | run_model.py | py | 2,401 | python | en | code | 31 | github-code | 7 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "os.path.isdir",
... |
41134349339 | from django.shortcuts import render
from django.contrib.auth import logout , login , authenticate
from django.http import Http404, HttpResponseRedirect , HttpResponse
from django.urls import reverse , NoReverseMatch
from django.contrib.auth.decorators import login_required
from .forms import LoginFrom , RegisterationFo... | Ai7mn/Mi-nest-eCommerce | myecommerce/accounts/views.py | views.py | py | 6,775 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.conf.settings.AUTH_USER_MODEL",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.logout",
"line_number": 27,
"usage_type": "call"
},
... |
34128811928 | #!/usr/bin/python
import sys
from math import *
from numpy import linspace
from scipy import interpolate
import pylab
scalefactor = 0.5 * 27.1
def f(x,y):
return 0.5*x + sin(y)
# Prepend p to the string s until its length is at least n.
def pad(s, p, n):
x = s
while len(x) < n:
x = p + x
ret... | bptripp/nengo-FPGA | interpolate_rom_pc_2d.py | interpolate_rom_pc_2d.py | py | 1,583 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "sys.stderr.write",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "sys.stderr",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 48,
"usage_type": "attribute"
},
{
"api_name": "scipy.interpolate.inte... |
37915463058 | '''
xlwt写入Excel步骤
1.创建工作簿
2.创建工作表
3.填充工作表内容
4.保存
'''
import xlwt
# 1.创建工作簿
wb=xlwt.Workbook()
# 2.创建工作表
ws=wb.add_sheet("CNY")
# 3.填充工作表内容
'''合并单元格
>>> help (xlwt.Worksheet)
write_merge(self, r1, r2, c1, c2, label='', style=<xlwt.Style.XFStyle object at 0x0000018769444E50>)
''' ... | zhusl/mukewang_python_automation | practice/ch3-xlrd+xlwt读取写入Excel数据/3-7写入Excel/2写入数据/index.py | index.py | py | 1,230 | python | zh | code | 1 | github-code | 7 | [
{
"api_name": "xlwt.Workbook",
"line_number": 10,
"usage_type": "call"
}
] |
6207825063 | #!/usr/bin/env python3
import sys,os
import numpy as np
import argparse
import json
import time
import glob
from mpi4py import MPI
sys.path.append(os.path.dirname(os.path.realpath(__file__))+'/mpi_learn_src')
from mpi_learn.train.algo import Algo
from mpi_learn.train.data import H5Data
from mpi_learn.utils import imp... | vlimant/mpi_opt | OptimizeCNN.py | OptimizeCNN.py | py | 3,667 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "sys.path.append",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_num... |
27576722435 | #####################################################################################################################
# Neural Network Backpropagation
# The neural network has two hidden layers
#
# Below are the meaning of symbols:
# train - training dataset - can be a link to a URL or a local file
# - y... | mehtadhruv1/Backpropagation-algorithm-Neural-Networks | neural_network.py | neural_network.py | py | 12,061 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sklearn.preprocessing.StandardScaler",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 45,
"usage_type": "call"
... |
34728969847 | import importlib
import time
import re
from sys import argv
from typing import Optional
from LaylaRobot import (
ALLOW_EXCL,
CERT_PATH,
DONATION_LINK,
LOGGER,
OWNER_ID,
PORT,
SUPPORT_CHAT,
TOKEN,
URL,
WEBHOOK,
SUPPORT_CHAT,
dispatcher,
StartTime,
telethn,
pbo... | QueenArzoo/LaylaRobot | LaylaRobot/__main__.py | __main__.py | py | 26,261 | python | en | code | 62 | github-code | 7 | [
{
"api_name": "telegram.InlineKeyboardButton",
"line_number": 84,
"usage_type": "call"
},
{
"api_name": "telegram.InlineKeyboardButton",
"line_number": 88,
"usage_type": "call"
},
{
"api_name": "telegram.InlineKeyboardButton",
"line_number": 89,
"usage_type": "call"
},
... |
44735893499 | import pygame
from pygame.draw import *
import colors as cl
pygame.init()
win = pygame.display.set_mode((500, 500))
x = 50
y = 50
width = 40
height = 60
speed = 5
isJump = False
Jumpcount = 10
run = True
while run:
pygame.time.delay(50)
for event in pygame.event.get():
if event.type == pygame.QUIT:
... | F4lanker/pycharm_files | Pygame/Test.py | Test.py | py | 802 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pygame.init",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "pygame.time.dela... |
36320564742 | from django.core.cache import cache
from django.shortcuts import render, get_object_or_404
from django_redis import get_redis_connection
from .models import Image
# Create your views here.
con = get_redis_connection("default")
def index(request):
query = Image.objects.all()
images_seq = [
{'id': da... | twtrubiks/django-docker-redis-tutorial | images/views.py | views.py | py | 1,200 | python | en | code | 41 | github-code | 7 | [
{
"api_name": "django_redis.get_redis_connection",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "models.Image.objects.all",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "models.Image.objects",
"line_number": 13,
"usage_type": "attribute"
},
{
... |
73348195424 | import numpy as np
import matplotlib.pyplot as plt
import sys,os
from TicTacToe import TicTacToe
class TicTacToeAI:
def __init__(self, cycles, gamesPerRound = 10, movesPerGame = 30, numberOfRandomTest = 100, numChildren = 10, layers= 1, sigma = 0.1, filename = "defaultAI.npy",seed = 0):
try:
... | dulte/Div | TicTacToe/TicTacToeAI.py | TicTacToeAI.py | py | 9,386 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "numpy.load",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.random.normal",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_nu... |
26045622798 |
# ------------------------------------------------------------
# File to save events on date input by user into calendar.txt
# ------------------------------------------------------------
from __future__ import print_function
import datetime
import os.path
import numbers
import time
from google.auth.transport.re... | ohio-software-development/RustGoogleTUI | RustTUIOUSDC/src/calendar_date.py | calendar_date.py | py | 3,412 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.path.chdir",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "pathlib.Path.home",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_numb... |
23318005983 | #!/usr/bin/env python
"""
CMSC733 Spring 2019: Classical and Deep Learning Approaches for
Geometric Computer Vision
Homework 0: Alohomora: Phase 2 Starter Code
Author(s):
Nitin J. Sanket (nitinsan@terpmail.umd.edu)
PhD Candidate in Computer Science,
University of Maryland, College Park
"""
import tens... | ykwang11/End-To-End-Deep-Homography-Estimation-With-Differential-RANSAC | Code/Test.py | Test.py | py | 6,947 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "sys.dont_write_bytecode",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "glob.glob",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
... |
71742257824 | from datetime import datetime
class Greeter:
def __init__(self, name, store) -> None:
self.name = name
self.store = store
def _day(self):
return datetime.now().strftime('%A')
def _part_of_day(self):
hour = datetime.now().hour
if (hour < 12):
return 'Morning'
elif (hour < 17):
... | yen102/practices-of-the-python-pro | chap03/greet.py | greet.py | py | 626 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "datetime.datetime.now",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.... |
26904972888 | #!/usr/bin/env python3
""" The basic plan:
1. Due to memory constraints, train up a model one day at a time.
2. Load up one day's data. Use online training with xgboost to update the model.
3. Validate using the final month's worth of data.
"""
import glob
import re
import matplotlib
matplotlib.use("agg")
import m... | captainceramic/jane-kaggle | archive/jane-street-comp.py | jane-street-comp.py | py | 4,162 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "matplotlib.use",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.int",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "glob.glob",
"line_n... |
2786849892 | import bs4 as bs
import requests
import time
import datetime as dt
import pickle
from secret_information import STOCK_API_KEY
ERROR_VALUE = 0.0001 #This is the value that gets added to our data if we cannot find what we are looking for.
wiki_response = requests.get('http://en.wikipedia.org/wiki/List_of_S%26P... | Harry-Andrews/Monthly-Value-Stock-Finder | data_collection.py | data_collection.py | py | 5,090 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "secret_information.STOCK_API_KEY",
"line_number": 54,
"usage_type": "name"
},
{
"api_name": "time.... |
32286651445 | import ast
from dataclasses import dataclass
from pathlib import Path
from sphinx.application import Sphinx
from sphinx.util.logging import getLogger
logger = getLogger(__name__)
@dataclass
class Example:
path: Path
source_folder: Path
name: str = ""
reference: str = ""
summary: str = ""
cat... | bryanwweber/sphinx-gooey | src/sphinx_gooey/default.py | default.py | py | 2,314 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sphinx.util.logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "dataclasses.da... |
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