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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
41637205602 | import base64
import logging
import sys
from string import digits, ascii_uppercase
import traceback
import time
from ins import *
from disasm import *
import gpu
class Tape:
'''
Tape is just a looped array of instructions.
'''
@classmethod
def from_inss(cls, inss):
'''Create tape from in... | qxxxb/emu | emu.py | emu.py | py | 16,844 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "ins.to_bytes",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "string.digits",
"line_number": 147,
"usage_type": "name"
},
{
"api_name": "string.ascii_uppercase",
"line_number": 147,
"usage_type": "name"
},
{
"api_name": "gpu.Gpu",
"li... |
18773450898 | import os, math, sys
from collections import Counter
def get_vocabulary(item_class):
class_vocabulary = []
for filename in os.listdir('train/' + item_class):
file = open(os.path.join('train/' + item_class, filename), encoding='latin-1')
class_vocabulary += [word for line in file for word in li... | myociss/probabilistic-classifiers | bayes.py | bayes.py | py | 3,170 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.listdir",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": 15,... |
26815440104 | from keras.models import Sequential, load_model
from keras.layers import Embedding, Conv1D, MaxPooling1D, LSTM, GRU, Dense
from keras.layers.wrappers import Bidirectional
y_idx2word=8
def run_classifier(x_train_seq,x_test_seq,y_train_one_hot,y_test_one_hot):
model = Sequential()
print("-----------------------... | NehalAB/Text_Classifier | multi_class_neural_network.py | multi_class_neural_network.py | py | 1,777 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "keras.models.Sequential",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "keras.layers.Embedding",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "keras.layers.wrappers.Bidirectional",
"line_number": 16,
"usage_type": "call"
},
{
... |
40762266793 |
def getadd():
import requests
import json
import getip
ip = getip.get()
send_url = f'http://api.ipstack.com/{ip}?access_key=7cf3582503675544e752924eb3142e79&format=1'
r = requests.get(send_url)
j = json.loads(r.text)
lat = str(j['latitude'])
lon = str(j['longitude'])
print(la... | usthandwa/WeThinkCode_Work | Matcha/views/functions.py | functions.py | py | 1,063 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "getip.get",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "config.db.query",
"line_number":... |
33008352550 | import keyboard
import time
import random
from ctypes import windll, wintypes, byref
from functools import reduce
from cafe_coding_download import enable
enable()
f = open('cafe_coding_download.py', 'r', encoding='UTF-8')
data = f.read()
f.close()
i = 0
s = ''
while True:
if keyboard.read_key():
s += d... | Yotty0404/Cafe_Coding | cafe_coding_keyboard.py | cafe_coding_keyboard.py | py | 741 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "cafe_coding_download.enable",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "keyboard.read_key",
"line_number": 19,
"usage_type": "call"
}
] |
2226540156 | from dataclasses import dataclass, field
# dataclass ja cria para nós o init, repr e eq
@dataclass(init=True)
class Pessoa:
_nome: str
_idade: float
enderecos: list[str] = field(default_factory=list)
def __post_init__(self):
print("depois do init")
@property
def nome(self):
... | michaelmedina10/estudos-python | oop/dataclass.py | dataclass.py | py | 411 | python | pt | code | 1 | github-code | 1 | [
{
"api_name": "dataclasses.field",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 5,
"usage_type": "call"
}
] |
31666142254 | # author: sunshine
# datetime:2021/8/5 下午3:17
import torch
import torch.nn as nn
from transformers import BertModel
class SMPNet(nn.Module):
def __init__(self, args, num_class):
super(SMPNet, self).__init__()
self.bert = BertModel.from_pretrained(args.bert_path)
self.fc1 = nn.Sequential(
... | fushengwuyu/smp2020_ewect | src/model.py | model.py | py | 1,411 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "torch.nn.Module",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "transformers.BertModel.from_pretrained",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tr... |
19845668758 | from django.shortcuts import render
from .forms import UploadTransactionFileForm
from .models import TransactionFIles, Transactions
from .serializers import TransactionnsSerializer
from .utils.mixins import TransactionMixin
from rest_framework.generics import ListCreateAPIView
from rest_framework.views import APIView, ... | reisquaza/CNAB | transactions/views.py | views.py | py | 3,344 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "forms.UploadTransactionFileForm",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "serializers.TransactionnsSerializer",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 50,
"usage_type": "call"
}... |
17315387689 | """
Code adapted from https://github.com/uvavision/Double-Hard-Debias/blob/master/eval.py
"""
import glob
import os
import numpy as np
from sklearn.utils import Bunch
from sklearn.cluster import AgglomerativeClustering, KMeans
from six import iteritems
def evaluate_categorization(word_vectors, X, y, method='kmeans', ... | YolandaMDavis/DoubleHardMulticlass | common/concept.py | concept.py | py | 5,620 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.mean",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "numpy.vstack",
"line_number": ... |
37404377541 | #!/usr/bin/env python3
# coding: utf-8
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch import multiprocessing as mp
import math
import plotly
from plotly.graph_objs import Scatter, Line
import numpy as np
from numpy.lib.stride_tricks import as_strided as ast
from scipy.ndimage import ga... | chenaddsix/pytorch_a3c | utils.py | utils.py | py | 7,553 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "numpy.mean",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "math.log10",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_number": 28,
... |
36221665148 | import numpy as np
import os
import datetime as dt
import sqlalchemy
from sqlalchemy.ext.automap import automap_base
from sqlalchemy.orm import Session
from sqlalchemy import create_engine, func
from flask import Flask, jsonify
engine = create_engine("sqlite:///Resources/hawaii.sqlite")
# reflect an existing databa... | epayne323/sqlalchemy-challenge | app.py | app.py | py | 6,008 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.ext.automap.automap_base",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 21,
"usage_type": "call"
},
{
"api_name... |
1063359949 | from django.db import models
class BaseModel(models.Model):
created_at = models.DateTimeField(
"Data de Criação", auto_now=False, auto_now_add=True
)
modified_at = models.DateTimeField(
"Data de Modificação", auto_now=True, auto_now_add=False
)
class Meta:
abstract = True
... | CleysonPH/cdm-unofficial-api | mangas/models.py | models.py | py | 2,848 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.db.models.Model",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "django.db.models.DateTimeField",
"line_number": 5,
"usage_type": "call"
},
{
"api_name... |
19890027037 | import torch
import numpy as np
import torch.nn as nn
import math
from PIL import Image
import os
from core.constants import palette, NUM_CLASSES, IGNORE_LABEL
def denorm(x):
out = (x + 1) / 2
return out.clamp(0, 1)
def norm(x):
out = (x - 0.5) * 2
return out.clamp(-1, 1)
def reset_grads(model, requi... | shahaf1313/ProCST | core/functions.py | functions.py | py | 9,425 | python | en | code | 25 | github-code | 1 | [
{
"api_name": "numpy.ceil",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.int",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.functional.interpolate... |
25410789355 | import optparse
import xml.etree.ElementTree
from util import build_utils
MANIFEST_TEMPLATE = """<?xml version="1.0" encoding="utf-8"?>
<manifest
xmlns:android="http://schemas.android.com/apk/res/android"
package="%(package)s"
split="%(split)s">
<uses-sdk android:minSdkVersion="21" />
<application and... | hanpfei/chromium-net | build/android/gyp/generate_split_manifest.py | generate_split_manifest.py | py | 2,284 | python | en | code | 289 | github-code | 1 | [
{
"api_name": "optparse.OptionParser",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "util.build_utils.AddDepfileOption",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "util.build_utils",
"line_number": 24,
"usage_type": "name"
},
{
"api_name... |
12137137685 | import datetime
class Message:
"""Represents a message sent to a chat.
Attributes
----------
chat: :class:`models.Chat`
The chat the message belongs to
type: :class:`str`
The type of message sent
id: :class:`str`
The id of the message
content: :class:`str`
... | A-Trash-Coder/dlive.py | dlive/models/message.py | message.py | py | 1,232 | python | en | code | 4 | github-code | 1 | [
{
"api_name": "datetime.datetime.utcfromtimestamp",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 32,
"usage_type": "attribute"
}
] |
71728283555 | from fastapi import FastAPI, Cookie, Response
from typing import Union
from pydantic import BaseModel
from typing_extensions import Annotated
app = FastAPI()
@app.get("/books")
async def books(
ads_id: Annotated[Union[str, None], Cookie()]
):
return {
"code": 200,
"message": "访问成功",
... | Mengxin-yi/fastApiProject | mainCookie.py | mainCookie.py | py | 355 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "typing_extensions.Annotated",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "fastapi.Cooki... |
32180876446 | import torch
from .base_model import BaseModel
from .BigGAN_networks import *
from util.util import toggle_grad, loss_hinge_dis, loss_hinge_gen, ortho, default_ortho, toggle_grad, prepare_z_y, \
make_one_hot, to_device, multiple_replace, random_word
import pandas as pd
from .OCR_network import *
from torch.nn impor... | amzn/convolutional-handwriting-gan | models/ScrabbleGAN_baseModel.py | ScrabbleGAN_baseModel.py | py | 25,408 | python | en | code | 235 | github-code | 1 | [
{
"api_name": "base_model.BaseModel",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "base_model.BaseModel.__init__",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "base_model.BaseModel",
"line_number": 28,
"usage_type": "name"
},
{
"api_name"... |
28413956290 | import json, os, requests, subprocess
# Your Discogs username and API key
username = ''
api_key = ''
# The ID of the folder containing your collection
folder_id = 0
# Base URL for Discogs API
base_url = 'https://api.discogs.com'
# Endpoint for retrieving collection releases
endpoint = f'/users/{username}/collection... | notaSWE/wallofrecords | local_option/get_collection.py | get_collection.py | py | 1,616 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "requests.get",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number":... |
23657966447 | #!Python-2.7.11/bin/python
import os,sys
import argparse
import numpy as np
import copy
sys.path.append('Python-2.7.11/lib/python2.7/site-packages')
from ete2 import Tree,TreeStyle,TextFace,NodeStyle
parser = argparse.ArgumentParser(description='Phylogenetic Tree analysis for Cancer Evolution.')
parser.add_argument('-... | gda7090/cancer | phylogenetic_tree_phylip.py | phylogenetic_tree_phylip.py | py | 13,457 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "sys.path.append",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
... |
28663203794 | import os
from dotenv import load_dotenv
import sqlalchemy
from sqlalchemy import join
from sqlalchemy.orm import sessionmaker, query
from models import create_tables, Publisher, Book, Shop, Stock, Sale
load_dotenv()
user = os.environ.get('USER')
password = os.environ.get('PASSWORD')
db = os.environ.get('DB')
DSN = f... | juicebiz/13-orm | main.py | main.py | py | 2,648 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"... |
26184567771 | # %%
import torch
import torch.nn as nn
import torch.optim as optim
import torchtext
from torchtext.data import Field, BucketIterator, TabularDataset
from torchtext.data.functional import sentencepiece_tokenizer, load_sp_model
from pathlib import Path
import dill
import numpy as np
import os
import random
import re... | mmcux/de-nds-translation | translate_input.py | translate_input.py | py | 18,238 | python | en | code | 32 | github-code | 1 | [
{
"api_name": "pathlib.Path",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "torchtext.data.functional.load_sp_model",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "torchtext.data.functional.load_sp_model",
"line_number": 33,
"usage_type": "call"
... |
27438269251 | from __future__ import absolute_import
from __future__ import division
import re
from functools import reduce
import wx
import wx.stc
from six.moves import xrange
from graphics.GraphicCommons import ERROR_HIGHLIGHT, SEARCH_RESULT_HIGHLIGHT, REFRESH_HIGHLIGHT_PERIOD
from plcopen.structures import ST_BLOCK_START_KEYWOR... | thiagoralves/OpenPLC_Editor | editor/editors/TextViewer.py | TextViewer.py | py | 45,065 | python | en | code | 307 | github-code | 1 | [
{
"api_name": "six.moves.xrange",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "six.moves.xrange",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_n... |
33843097301 | from transformers import ColorTransformer
from ..blend.blend import *
from ..palettes.core_palette import *
from ..scheme.scheme import *
from .image_utils import *
from .string_utils import *
# /**
# * Generate custom color group from source and target color
# *
# * @param source Source color
# * @param color C... | DimitrisMilonopoulos/mitsugen | src/material_color_utilities_python/utils/theme_utils.py | theme_utils.py | py | 3,222 | python | en | code | 88 | github-code | 1 | [
{
"api_name": "transformers.ColorTransformer.argb_to_hex",
"line_number": 84,
"usage_type": "call"
},
{
"api_name": "transformers.ColorTransformer",
"line_number": 84,
"usage_type": "name"
}
] |
74416921314 | from collections import defaultdict
# Utility function to create dictionary
def multi_dict(K, type):
if K == 1:
return defaultdict(type)
else:
return defaultdict(lambda: multi_dict(K-1, type))
with open('input-10.txt') as f:
lines = [row.strip() for row in f]
print(lines)
X=1
cycles = [... | fshsweden/AdventOfCode2022 | 10a.py | 10a.py | py | 805 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "collections.defaultdict",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 8,
"usage_type": "call"
}
] |
13382414004 | import unittest
import subprocess
import os
import numpy as np
from openfermion import (
QubitOperator, InteractionOperator, FermionOperator, IsingOperator,
get_interaction_operator, hermitian_conjugated
)
from zquantum.core.circuit import build_uniform_param_grid
from zquantum.core.utils import create_object
f... | wugaxp/qe-openfermion | src/python/qeopenfermion/_io_test.py | _io_test.py | py | 4,933 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "unittest.TestCase",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "openfermion.QubitOperator",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "openfermion.hermitian_conjugated",
"line_number": 26,
"usage_type": "call"
},
{
... |
3513686248 | import streamlit as st
from streamlit_player import st_player
column1, column2, = st.columns(2)
st.subheader("Send Email Receipts using automation")
st_player("https://youtu.be/G3fTz6VnnTc")
st.divider()
st.subheader("Recording Videos using Flonnect")
st_player("https://youtu.be/id_Oj7cG0Hs")
st.divider()
st.s... | madhuammulu8/FR-Analysis | pages/_👨🏽💻_Knowledge Transfer.py | _👨🏽💻_Knowledge Transfer.py | py | 725 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "streamlit.columns",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "streamlit.subheader",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "streamlit_player.st_player",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "streaml... |
20454510000 | ### This is the LSTM training module ###
from keras.preprocessing.text import Tokenizer
from keras.preprocessing.sequence import pad_sequences
from keras.models import Sequential
from keras.layers import Dense, Flatten, LSTM, Conv1D, MaxPooling1D, Dropout, Activation
from keras.layers.embeddings import Embedding... | Sang555/Multimodal-disaster-analysis | CODE/Text_training_module.py | Text_training_module.py | py | 2,674 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pandas.read_csv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "keras.preprocessing.text.Tokenizer",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "nump... |
16241233028 | from rest_framework.permissions import (
DjangoModelPermissions, BasePermission, IsAdminUser, SAFE_METHODS)
class IsProfileOwnerOrReadOnly(BasePermission):
def has_object_permission(self, request, view, obj):
print(obj)
if request.method in SAFE_METHODS:
return True
retur... | Axubyy/ATS | Backend/week_8/MiniBlog/blog/api/permissions.py | permissions.py | py | 833 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "rest_framework.permissions.BasePermission",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "rest_framework.permissions.SAFE_METHODS",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "rest_framework.permissions.BasePermission",
"line_number": 15... |
39818017608 | #!/usr/bin/env python3
import json
import requests
import subprocess
session = requests.Session()
proc = subprocess.run(['git', 'for-each-ref', '--format=%(refname:lstrip=3)', 'refs/remotes/origin/??????????????????????????????????'],
stdout=subprocess.PIPE,
check=True,
)
to_delete = []
for branch in proc.stdo... | HsiangHo/macOS | .github/clean.py | clean.py | py | 882 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "requests.Session",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "subprocess.run",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "subprocess.PIPE",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "json.loads",
"l... |
14477324527 | from django import forms
from .models import Image
from urllib import request
from django.core.files.base import ContentFile
from django.utils.text import slugify
class ImageCreateForm(forms.ModelForm):
class Meta:
model = Image
fields = ('title','url','description')
#我们的用户不会在表单中直接为图片添加 UR... | aangang/bookmarks | bookmarks/images/forms.py | forms.py | py | 2,247 | python | zh | code | 0 | github-code | 1 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "models.Image",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.forms.Hidd... |
21703164964 | # Author: Abdulaminkhon Khaydarov
# Date: 06/11/22
# Problem URL: https://leetcode.com/problems/running-sum-of-1d-array/
from typing import List
class Solution:
def runningSum(self, nums: List[int]) -> List[int]:
for i in range(1, len(nums)):
nums[i] = nums[i] + nums[i - 1]
return nu... | webdastur/leetcode | array/easy/leetcode1480_1.py | leetcode1480_1.py | py | 628 | python | en | code | 7 | github-code | 1 | [
{
"api_name": "typing.List",
"line_number": 9,
"usage_type": "name"
}
] |
24856926246 | # -*-coding:utf-8 -*-
import numpy as np
from sklearn.ensemble import AdaBoostClassifier
from sklearn.tree import DecisionTreeClassifier
"""
Author:
Jack Cui
Blog:
http://blog.csdn.net/c406495762
Zhihu:
https://www.zhihu.com/people/Jack--Cui/
Modify:
2017-10-11
"""
def loadDataSet(fileName):
numFeat = len(... | Jack-Cherish/Machine-Learning | AdaBoost/sklearn_adaboost.py | sklearn_adaboost.py | py | 1,320 | python | en | code | 8,026 | github-code | 1 | [
{
"api_name": "sklearn.ensemble.AdaBoostClassifier",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "sklearn.tree.DecisionTreeClassifier",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.mat",
"line_number": 37,
"usage_type": "call"
},
{
... |
39099255085 | import queue
from threading import Thread
import numpy as np
from transformers import *
from openie import StanfordOpenIE
from utility.utility import *
#from bert_serving.client import BertClient
from rouge import Rouge
from stanfordcorenlp import StanfordCoreNLP
import pickle
from data.raw_data_loader import... | RuifengYuan/FactExsum-coling2020 | make_data.py | make_data.py | py | 18,770 | python | en | code | 17 | github-code | 1 | [
{
"api_name": "threading.Lock",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 128,
"usage_type": "call"
},
{
"api_name": "numpy.float16",
"line_number": 128,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"li... |
36629116758 | """Возьмите любую из задач с прошлых семинаров (например сериализация данных),
которые вы уже решали. Превратите функции в методы класса, а параметры в свойства.
Задачи должны решаться через вызов методов экземпляра."""
import csv
import json
class SaveToCsv:
def __init__(self, input_file_name, output_file_name):... | Pisarev82/Immersion_in_Python | sem_10/hw_10_2.py | hw_10_2.py | py | 1,252 | python | ru | code | 0 | github-code | 1 | [
{
"api_name": "json.load",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 21,
"usage_type": "call"
}
] |
6953564000 | from django.http import HttpResponseRedirect, HttpResponse
from django.core.mail import send_mail
from django.shortcuts import render
from contacto.forms import FormularioContactos
from django.template import loader
# Create your views here.
def contactos(request):
#form=FormularioContactos()
if request.metho... | JokerBerlin/python | contacto/views.py | views.py | py | 983 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "contacto.forms.FormularioContactos",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.core.mail.send_mail",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.http.HttpResponseRedirect",
"line_number": 20,
"usage_type": "call"
... |
43758862321 | # -*- coding: utf-8 -*-
# file: __init__.py
# date: 2021-07-20
import os
import _io
import json
import logging
import time
import datetime
import pyspark
import pyspark.sql
from typing import Any, Union, Dict, List, Tuple
from ... import pysparkit
LOGGER: logging.Logger = pysparkit.get_logger(__name__, level=loggi... | innerNULL/pysparkit | pysparkit/io/__init__.py | __init__.py | py | 5,878 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "logging.Logger",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "logging.INFO",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "typing.Dict",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "_io.TextIOWrapper",... |
36038909243 | import collections
def calcEquation(equations, values, queries):
"""
:type equations: List[List[str]]
:type values: List[float]
:type queries: List[List[str]]
:rtype: List[float]
"""
record = collections.defaultdict(lambda: collections.defaultdict(int))
for (var1, var2), v in zip(equatio... | zhaoxy92/leetcode | 399_evaluate_division.py | 399_evaluate_division.py | py | 1,024 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "collections.defaultdict",
"line_number": 9,
"usage_type": "call"
}
] |
11468083578 | from io import StringIO
from django.core.management import call_command
from django.core.management.base import CommandError
from django.test import TestCase
from geostore.models import Layer
from geostore.tests.factories import LayerFactory
from geostore.tests.utils import get_files_tests
class ImportGeojsonTest(T... | Terralego/django-geostore | geostore/tests/test_commands/test_import_geojson.py | test_import_geojson.py | py | 3,126 | python | en | code | 21 | github-code | 1 | [
{
"api_name": "django.test.TestCase",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "io.StringIO",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.core.management.call_command",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "... |
36427243193 | """
318. Maximum Product of Word Lengths
Medium
514
47
Favorite
Share
Given a string array words, find the maximum value of length(word[i]) * length(word[j]) where the two words do not share common letters. You may assume that each word will contain only lower case letters. If no such two words exist, re... | fengyang95/OJ | LeetCode/python3/318_MaximumProductOfWordLengths.py | 318_MaximumProductOfWordLengths.py | py | 2,324 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "collections.defaultdict",
"line_number": 37,
"usage_type": "call"
}
] |
26524777453 | #Dependencies
from relu import relu
from convolutional_mlp import LeNetConvPoolLayer
from logistic_sgd import LogisticRegression
from mlp import HiddenLayer
from dropout import dropout_neurons_from_layer
from theano.tensor.signal import downsample
from theano.tensor.nnet import conv
import theano
class RetinopathyNet(... | rocket-raccoon/DiabeticRetinopathyDetection | retinopathy_net.py | retinopathy_net.py | py | 2,958 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "dropout.dropout_neurons_from_layer",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "convolutional_mlp.LeNetConvPoolLayer",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "dropout.dropout_neurons_from_layer",
"line_number": 33,
"usage_ty... |
11040136855 | from common.FrontendTexts import FrontendTexts
view_texts = FrontendTexts('materials')
labels = view_texts.getComponent()['selector']['choices']
ACTION_CHOICES = (
(1, labels['edit']),
(2, labels['weight'])
)
UNIT_CHOICES = (
(1, "M"),
(2, "M2"),
(3, "M3"),
(4, "EA")
)
| Conpancol/PyHeroku | CPFrontend/materials/choices.py | choices.py | py | 297 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "common.FrontendTexts.FrontendTexts",
"line_number": 3,
"usage_type": "call"
}
] |
24709845293 | from typing import List
DISTANCE_END = 5
def determine_place(n: int, distance_list: List[int]) -> int:
"""
Функция которая определяет, максимально высокое место участника.
:param n: длинна входного списка с расстояниями бросков участников
:type n: int
:param distance_list: список с расстояниями ... | OkhotnikovFN/Yandex-Algorithms | trainings_1.0/hw_2/task_e/e.py | e.py | py | 1,780 | python | ru | code | 1 | github-code | 1 | [
{
"api_name": "typing.List",
"line_number": 6,
"usage_type": "name"
}
] |
73582152353 | import scrapy
from ..items import TutorialItem
class QuoteSpider(scrapy.Spider):
name = 'quote'
pageNumber = 2
# def start_requests(self):
start_urls = [
'http://quotes.toscrape.com/page/1/'
# 'http://quotes.toscrape.com/page/1/',
# 'http://quotes.toscrape.com/page/2/',
]
... | Ankitdeveloper15/python | Boring Stuff/Scrapy/tutorial/tutorial/spiders/quotes_spider.py | quotes_spider.py | py | 1,393 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "scrapy.Spider",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "items.TutorialItem",
"line_number": 19,
"usage_type": "call"
}
] |
30997752571 | from flask import Flask
from flask_sqlalchemy import SQLAlchemy
from flask import request
from flask_migrate import Migrate
app = Flask(__name__)
app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False
app.config['SQLALCHEMY_DATABASE_URI'] = "postgresql://postgres:password@localhost:5432/FlaskDB"
db = SQLAlchemy(app)
mig... | Agasiland/FlaskService | app.py | app.py | py | 2,360 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask_migrate.Migrate",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.req... |
1370447652 | import datetime
from django.core import serializers
from django.shortcuts import render
from django.http import HttpResponse,JsonResponse
from weather.models import *
# Create your views here.
def weather(request, location):
location = location.split(',')[-1]
index = request.GET.get('index')
... | BruceDGit/HexuWeather | Server/weather_server/weather/views.py | views.py | py | 8,222 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "datetime.datetime.now",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.now",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "da... |
32466005602 | import random
from colorama import init, Fore, Back, Style
from checker import check_wordle
def text_edit(guess, result, alphabet):
editted_text = []
def _letter_paint(letter, color):
letter_painted = ''
if color=='Green':
letter_painted = Back.GREEN + letter.upper()
elif color=='Yellow':
... | ivlmag/simple_wordle_clone | console_wordle.py | console_wordle.py | py | 2,396 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "colorama.Back.GREEN",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "colorama.Back",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "colorama.Back.YELLOW",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "colo... |
10669863739 | import gspread
import copy
service_account = gspread.service_account('data/~service-account.json')
sheet = service_account.open("Mapout3.0")
scenario_sheet = sheet.worksheet("SCENARIO")
cover_sheet = sheet.worksheet("COVER")
sheet_rows = scenario_sheet.get_all_values()
times = snow_accu = sleet_accu = frzg_accu = tot... | weathermandgtl/display_grid | data/melt_slr.py | melt_slr.py | py | 5,403 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "gspread.service_account",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 71,
"usage_type": "call"
}
] |
31588107873 | import dataclasses
import json
import logging
import re
import sys
import urllib.parse
from dataclasses import dataclass
from pathlib import Path
from typing import Dict, Set, List, Union
from para_tranz.utils.config import PROJECT_DIRECTORY, ORIGINAL_PATH, TRANSLATION_PATH, PARA_TRANZ_PATH, LOG_LEVEL, \
LOG_DEBUG... | TruthOriginem/Starsector-096-Localization | para_tranz/utils/util.py | util.py | py | 8,353 | python | en | code | 21 | github-code | 1 | [
{
"api_name": "pathlib.Path",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "para_tranz.utils.config.PROJECT_DIRECTORY",
"line_number": 17,
"usage_type": "argument"
},
{
"api_name": "logging.Formatter",
"line_number": 22,
"usage_type": "attribute"
},
{
... |
21104357591 | # -*- coding: utf-8 -*-
# This program ensures that the last lines in a set of OBS markdown files are italicized.
import re # regular expression module
import io
import os
import string
import sys
import shutil
# Globals
source_dir = r'C:\DCS\Russian\ru_obs.STR\content'
# Inserts underscores at beginning and e... | unfoldingWord-dev/tools | md/obs_italicize_last_line.py | obs_italicize_last_line.py | py | 2,684 | python | en | code | 8 | github-code | 1 | [
{
"api_name": "io.open",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "os.rename",
"line_number": 47... |
6034178664 | from typing import List, MutableMapping
"""
Summary: The trick is - the problem is the duplicate of the original except for
if you steal from the first house, you can't steal from the last. So, 2 cases:
stole from the first or not. Then, the problem is identical to the original one
___________________________________... | EvgeniiTitov/coding-practice | coding_practice/sample_problems/leet_code/medium/greedy-dynamic-backtracking/213_house_robber_2.py | 213_house_robber_2.py | py | 3,911 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "typing.List",
"line_number": 44,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 47,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 71,
"usage_type": "name"
},
{
"api_name": "typing.MutableMapping",
"line... |
71006897315 | import xarray as xr
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import matplotlib as mpl
import cartopy.crs as ccrs
import cartopy.io.shapereader as shpreader
from cartopy.feature import ShapelyFeature
import cartopy.feature as cfeature
from cartopy.mpl.ticker import LongitudeFormatter, Latit... | pkmn99/dryland_moisture | code/plot_china_dryland_source.py | plot_china_dryland_source.py | py | 2,696 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "cartopy.crs.PlateCarree",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cartopy.crs",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "cartopy.mpl.ticker.LongitudeFormatter",
"line_number": 15,
"usage_type": "call"
},
{
"api_nam... |
41060910588 | import json
import os
import re
import sys
import gzip
import math
import hashlib
import logging
import portalocker
from collections import defaultdict
from typing import List, Optional, Sequence, Dict
from argparse import Namespace
from tabulate import tabulate
import colorama
# Where to store downloaded test sets.... | mjpost/sacrebleu | sacrebleu/utils.py | utils.py | py | 22,550 | python | en | code | 896 | github-code | 1 | [
{
"api_name": "os.path.expanduser",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line... |
1986352570 | from ctypes import alignment
from tkinter import *
from tkinter import messagebox as mb
import json
#Class for GUI components
class Assessment(object):
def __init__(self, database_filename, gui):
#Snag data
with open(database_filename) as f:
data = json.load(f)
se... | ChHarding/grit-scale-HCI584 | grit-scale_CH.py | grit-scale_CH.py | py | 7,484 | python | en | code | null | github-code | 1 | [
{
"api_name": "json.load",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "tkinter.messagebox.showinfo",
"line_number": 102,
"usage_type": "call"
},
{
"api_name": "tkinter.messagebox",
"line_number": 102,
"usage_type": "name"
},
{
"api_name": "tkinter.me... |
32195531566 | import sys
import os.path
from cStringIO import StringIO
from mapnik import *
from django.conf import settings
import PIL.Image
from ebgeo.maps import bins
from ebgeo.maps.constants import TILE_SIZE
def xml_path(maptype):
path = os.path.join(sys.prefix, 'mapnik', '%s.xml' % maptype)
return path
def get_mapser... | brosner/everyblock_code | ebgeo/ebgeo/maps/mapserver.py | mapserver.py | py | 7,489 | python | en | code | 130 | github-code | 1 | [
{
"api_name": "os.path.path.join",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "sys.prefix",
"line_nu... |
23051885140 | import tensorflow as tf
import numpy as np
import os
import argparse
import math
from model import GridCell
from custom_ops import block_diagonal
from data_io import Data_Generator
from matplotlib import pyplot as plt
from utils import draw_heatmap_2D, draw_path_to_target, draw_path_to_target_gif
import itertools
cla... | ruiqigao/GridCell | path_planning.py | path_planning.py | py | 16,048 | python | en | code | 18 | github-code | 1 | [
{
"api_name": "tensorflow.placeholder",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "tensorflow.float32",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.placeholder",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": ... |
39633978744 | import pygame # 1. pygame 선언
import random
pygame.init() # 2. pygame 초기화
# 3. pygame에 사용되는 전역변수 선언
BLACK = (0, 0, 0)
size = [600, 800]
screen = pygame.display.set_mode(size)
done = False
clock = pygame.time.Clock()
# 4. pygame 무한루프
def runGame():
global done
while not done:
clock.tick(10)
s... | kyungkkk/week9 | game2.py | game2.py | py | 1,222 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pygame.init",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pygame.time.Cl... |
1633661385 | from collections import deque
from fuzzywuzzy import fuzz
from datasets.fuman_base import load_fuman_rant
dataset = load_fuman_rant('data/20151023/bad-rants-4189.csv')
duplicates = set()
deduped = list()
n_elements = len(dataset.data)
rant_indexes = deque([i for i in range(n_elements)])
while rant_indexes:
i = r... | dumoulma/py-evalfilter | src/deduplicate_rants.py | deduplicate_rants.py | py | 1,055 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "datasets.fuman_base.load_fuman_rant",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "fuzzywuzzy.fuzz.ratio",
"line_number": 17,
"usage_type": "call"
},
{
"api_na... |
14749681743 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Aug 8 22:57:54 2019
@author: weichi
"""
import datetime as dt
from datetime import datetime
import pytz
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn import linear_model, metrics, model_selection
from sklearn.model... | WeichiChen1210/PM2.5-Prediction | pm2.5_prediction.py | pm2.5_prediction.py | py | 3,991 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pytz.timezone",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "datet... |
9338192510 | import dash
import dash_core_components as dcc
import dash_html_components as html
import json
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import plotly.express as px
import plotly.graph_objs as go
from urllib.request import urlopen
import plotly.io as pio
from sklearn.linear_model import Lin... | johnli25/uscoronavirusinfo | us_states_per_capita.py | us_states_per_capita.py | py | 3,428 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "plotly.io.renderers",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "plotly.io",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "pandas.read_csv",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",... |
4038397722 | # TASK - 1
# A To-Do List application is a useful project that helps users manage and organize their tasks efficiently.
# This project aims to create a command-line or GUI-based application using Python, allowing users to create, update,
# and track their to-do lists.
from tkinter import *
import tkinter.messagebox as... | KaustabRoy/CODSOFT | Task1-ToDoListManager/main.py | main.py | py | 17,100 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "termcolor.colored",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "termcolor.colored",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.rename",
"line_number": 189,
"usage_type": "call"
},
{
"api_name": "os.remove",
"line_... |
42703895429 | # Import Required Libraries
from tkinter import *
from tkinter import messagebox
from tkinter import filedialog
import cv2
import numpy as np
import os
import sys
import tensorflow as tf
from matplotlib import pyplot as plt
from PIL import Image,ImageTk
num_classes = 3
pb_fname = '/home/ubuntu/content/models/resea... | 13020363/Deep-Learning | Assignments/A3/GUI_v2.py | GUI_v2.py | py | 8,872 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "PIL.Image.open",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "PIL.ImageTk.PhotoImage",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "PIL.ImageTk",
"li... |
31416846331 | import zipfile
dest_dir = "Bonusfiles/Bonusfiles/files"
def extract_archive(archive_path, dest_dir):
with zipfile.ZipFile(archive_path, 'r') as archive:
archive.extractall(dest_dir)
if __name__ == "__main__":
extract_archive("Bonusfiles/compressed.zip", dest_dir)
| manzitlo/Zip_CreateAndExtract | zip_extractor.py | zip_extractor.py | py | 285 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "zipfile.ZipFile",
"line_number": 7,
"usage_type": "call"
}
] |
38928738675 | from django import forms
from ckeditor.widgets import CKEditorWidget
from .models import UserProfile
class UserProfileForm(forms.ModelForm):
# It is valid to explicitly instantiate a form field that has a
# corresponding model field, but such a field will not take any of the
# defaults from the model
... | Crossroadsman/treehouse-techdegree-python-project7 | accounts/forms.py | forms.py | py | 1,336 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.forms.DateField",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.... |
14503858692 | from django.forms import Form, IntegerField, TextInput, CharField, ModelForm, Textarea
from .models import Feedback
class Calculator(Form):
width = IntegerField(min_value=1, widget=TextInput(
attrs={
'class': 'form-control',
'type': 'number',
'placeholder': 'Введите шир... | Skywalker-69/python_django_belhard | catalogue/forms.py | forms.py | py | 2,291 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.forms.Form",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.forms.IntegerField",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.forms.TextInput",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "djang... |
10180003978 | import os
import requests
import shutil
#################
# PREPARE FILES #
#################
source_dir = os.path.dirname(os.path.realpath(__file__))
md_file = os.path.join(source_dir, 'project.md')
##################
# PARSE MARKDOWN #
##################
with open(md_file, 'r') as f:
md = f.read()
##############... | Acrop146/Test | project-description/render-site.py | render-site.py | py | 1,393 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.path.dirname",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_n... |
73591823713 | #! /usr/bin/env python
# Import ROS.
import rospy
# Import the API.
from iq_gnc.py_gnc_functions import *
# To print colours (optional).
from iq_gnc.PrintColours import *
# Import 3D Plotting Library
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
# Import Kalman Filter Library
from pykalman imp... | khulqu15/smc_drone | ros_smc_kf/scripts/square.py | square.py | py | 5,474 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "numpy.eye",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.eye",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pykalman.KalmanFilter",
"line_num... |
42296024184 | import random
from itertools import starmap, cycle
class PacketState:
def __init__(self, seq_no, status, is_final, data):
self.seq_no = seq_no
self.status = status
self.data = data
self.packet = PacketState.make_pkt(data, seq_no, is_final)
@staticmethod
def make_pkt(data, ... | TarekAlQaddy/reliable-data-transfer-server | Helpers.py | Helpers.py | py | 2,829 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "random.random",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "itertools.starmap",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "itertools.cycle",
"line_number": 61,
"usage_type": "call"
}
] |
23131275206 | """ Databricks - Terminate Cluster
User Inputs:
- Authentication
- Cluster ID
- terminates a single cluster.
"""
import argparse
import sys
import shipyard_utils as shipyard
try:
import errors
from helpers import DatabricksClient
except BaseException:
from . import errors
def get_args():
parser = ar... | shipyardapp/databricks-blueprints | databricks_blueprints/terminate_cluster.py | terminate_cluster.py | py | 3,593 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "shipyard_utils.logs.determine_base_artifact_folder",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "shipyard_utils.logs",
"line_number": 38,
"usage_type": "attrib... |
12712332139 | import os
try:
import busio
import armachat_lora
import aesio
except ImportError:
pass
from collections import namedtuple
import time
import struct
import binascii
import minipb
MeshtasticData = minipb.Wire([
("portnum", "t"),
("payload", "a"),
("want_response", "b"),
("dest", "I"),
... | rosmo/armassi | armassi/lib/comms.py | comms.py | py | 7,772 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "minipb.Wire",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "minipb.Wire",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "busio.SPI",
"line_... |
31799853905 | import cv2
import mercantile
from shapely.geometry import Polygon, MultiPolygon, mapping
from toolz import curry, pipe
from toolz.curried import *
import numpy as np
from abfs.api.prediction.image import ImagePrediction
BASE_URL = 'https://api.mapbox.com/v4/mapbox.satellite'
class LatLongPrediction():
def __init... | rcdilorenzo/abfs | abfs/api/prediction/lat_long.py | lat_long.py | py | 2,544 | python | en | code | 8 | github-code | 1 | [
{
"api_name": "mercantile.tile",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "abfs.api.prediction.image.ImagePrediction",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "abfs.api.prediction.image.ImagePrediction",
"line_number": 29,
"usage_type": "c... |
12090767387 | import requests
from bs4 import BeautifulSoup as bs
import json
import os
import time
#This URL will be the URL that your login form points to with the "action" tag.
POSTLOGINURL = 'https://www.hackerrank.com/auth/login'
LOGINREST = "https://www.hackerrank.com/rest/auth/login"
#This URL is the page you actually want t... | moamen-ahmed-93/hackerrank_sol | hackerrank_scrapper/hackerrank.py | hackerrank.py | py | 3,629 | python | en | code | 6 | github-code | 1 | [
{
"api_name": "requests.Session",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "requests.utils.default_headers",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "requests.utils",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "b... |
38989140015 | import random
import torch
import os
import pandas as pd
from pathlib import Path
import torch.utils.data as data
from torch.utils.data import dataloader
class CamelData(data.Dataset):
def __init__(self, dataset_cfg=None, state=None):
# Set all input args as attributes
self.__dict__.update(locals... | ptoyip/6211H_Final | code/baseline_model/datasets/camel_data.py | camel_data.py | py | 3,369 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "torch.utils.data",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "pandas.read_csv",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pathli... |
73938024675 | '''
Created on 25 abr. 2020
@author: jesus.fernandez
'''
from common.SQLUtil import SQLUtil
class EmpleoINEProcessor(object):
'''
classdocs
'''
def __init__(self, spark, sc, sql):
'''
Constructor
'''
self.spark = spark
self.sc = s... | jfernandezrodriguez01234/TFM_jfernandezrodriguez01234 | src/processors/social/EmpleoINEProcessor.py | EmpleoINEProcessor.py | py | 1,261 | python | es | code | 0 | github-code | 1 | [
{
"api_name": "common.SQLUtil.SQLUtil.writeSparkDf",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "common.SQLUtil.SQLUtil",
"line_number": 43,
"usage_type": "name"
}
] |
25058904996 | import pygame
class Player (object):
inititalJumpSpeed=30
jumpSpeed=30
jumping=False
gravity=2
initialFallSpeed=0
fallSpeed=0
falling=True
spriteName="./Run1.png"
spriteNum=0
sprite=pygame.image.load("./Run1.png");
sprite=pygame.transform.scale(sprite,(50,... | SlothDemon42/htne_game | v0.1/HTNE_Game.py | HTNE_Game.py | py | 8,075 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "pygame.image.load",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "pygame.transform.scale",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pygame.tra... |
34166720448 | #!/usr/bin/python3
import yaml, sys
import numpy as np
import matplotlib.pyplot as plt
import glob
import os
import math
from matplotlib.colors import LogNorm
from scipy.interpolate import griddata
from io import StringIO
filename = sys.argv[1]
f = '%s.yaml' % (filename)
# Read YAML file
with open(f, 'r') as stre... | droundy/sad-monte-carlo | plotting/grand2d.py | grand2d.py | py | 4,441 | python | en | code | 4 | github-code | 1 | [
{
"api_name": "sys.argv",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "yaml.load",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "glob.iglob",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number":... |
89310945 | # -*- coding: utf-8 -*-
from collections import namedtuple
GENERIC_DICT = 'GenericDict'
def __convert(obj):
if isinstance(obj, dict):
for key, value in obj.iteritems():
obj[key] = __convert(value)
return namedtuple(GENERIC_DICT, obj.keys())(**obj)
elif isinstance(obj, list):
... | tech-sketch/fiware-ros-turtlesim | src/fiware_ros_turtlesim/params.py | params.py | py | 777 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "collections.namedtuple",
"line_number": 11,
"usage_type": "call"
}
] |
11212571235 | import subprocess
from num2words import num2words
def say(number: int) -> str:
"""
Say the number in words
:param
number: int
:return:
sentence: str
"""
if 0 <= number < 1000000000000:
sentence = num2words(number).split()
for index, word in enumerate(sentence):
... | stimpie007/exercism | python/say/say.py | say.py | py | 831 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "num2words.num2words",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "subprocess.run",
"line_number": 25,
"usage_type": "call"
}
] |
5895415014 | import pandas as pd
import matplotlib.pyplot as plt
import Utils as utils
from operator import itemgetter
# reading data
#da = utils.combine_data()
da = pd.read_csv('rawdata/heathrowRawData.csv')
class knn:
def __init__(self, *args, **kw):
pd.set_option('display.max_rows', 2000)
plt.rcParams['fi... | omarali0703/MachineLearning | kNN.py | kNN.py | py | 2,412 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pandas.read_csv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pandas.set_option",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "matp... |
12753959980 | import matplotlib.pyplot as plt
import autograd.numpy as np
import autograd.numpy.random as npr
import autograd.scipy.stats.multivariate_normal as mvn
import autograd.scipy.stats.norm as norm
import sys
sys.path.append('..')
from bbvi import BaseBBVIModel
"""
This implements the example in http://www.cs.toronto.edu/... | jamesvuc/BBVI | Examples/BBVI_test2.py | BBVI_test2.py | py | 2,606 | python | en | code | 8 | github-code | 1 | [
{
"api_name": "sys.path.append",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "bbvi.BaseBBVIModel",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.subp... |
34214470629 | import logging
import modules.net as model_arch
from torch.utils.data.dataloader import default_collate
from tqdm import tqdm
import torch
import torch.nn as nn
class Predictor():
def __init__(self, batch_size=64, max_epochs=100, valid=None, labelEncoder=None, device=None, metric=None,
learning_rate=1... | hsinlichu/Customer-Service-Data-Analysis-with-Machine-Learning-Technique | src/mypredictor.py | mypredictor.py | py | 6,299 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "torch.device",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.device",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"l... |
74736955554 | import os
import sys
import warnings
from decouple import config
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
if BASE_DIR not in sys.path:
sys.path.append(BASE_DIR)
STORAGE_DIR = os.path.join(BASE_DIR, 'storage')
RUN_DIR = os.path.join(STORAGE_DIR, 'run')
MSD_DIR = os.path.join(STORAGE_... | bpptkg/bulletin | wo/settings.py | settings.py | py | 3,089 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "os.path.dirname",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number... |
15533905597 |
# A very simple Bottle Hello World app for you to get started with...
from bottle import route, run, template, default_app
import json
import get_stream
@route("/")
@route("/index")
def index():
data = get_stream.get_stream_data()
#print(data)
return template("""
<b>
An example weather ... | smahagos/WeatherData | mysite/bottle_app.py | bottle_app.py | py | 1,680 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "get_stream.get_stream_data",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "bottle.template",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "bottle.route",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "bottle.route"... |
30689755641 | ####################################################################################
# Estimator Models
# Contains different estimators
# Each Estimator Contains:
# -A set of required conditional distributions (nuisance parameters) that must be trained
# -The set of parameters that are shared between nuisance param... | weberna/causalchains | causalchains/models/estimator_model.py | estimator_model.py | py | 10,710 | python | en | code | 6 | github-code | 1 | [
{
"api_name": "torch.nn.Module",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "causalchains.utils.data_utils.PAD_TOK",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "c... |
25008123076 | from Net import Net
import torch
import torch.nn as nn
import torch.optim as optim
from typing import List
from pathlib import Path
import os
class ModelTrainEval:
def __init__(self):
self.net = Net()
self.criterion = nn.MSELoss()
self.optimizer = optim.Adam(self.net.parameters(), lr=0.00... | paddywardle/Computational_Chemistry_Data_Engineering_Project | main/Models/ModelTrainEval.py | ModelTrainEval.py | py | 2,392 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "Net.Net",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.nn.MSELoss",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "torch.optim.Adam",
"line_number... |
4062540397 |
# Pandigital products
# Problem 32
# We shall say that an n-digit number is pandigital if it makes use of all the digits 1 to n exactly once; for example,
# the 5-digit number, 15234, is 1 through 5 pandigital.
# The product 7254 is unusual, as the identity, 39 × 186 = 7254, containing multiplicand, multiplier, and ... | IgorKon/ProjectEuler | 032.py | 032.py | py | 2,843 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "re.findall",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"... |
19105383629 | import os
import json
import pandas as pd
from aideme.explore import ExplorationManager, PartitionedDataset
from aideme.active_learning import KernelVersionSpace
from aideme.active_learning.dsm import FactorizedDualSpaceModel
from aideme.initial_sampling import random_sampler
import src.routes.points
from src.route... | AIDEmeProject/AIDEme | api/tests/routes/test_points.py | test_points.py | py | 4,014 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.path.join",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "src.routes.endpoints.INITIAL_UNLABELED_POINTS",
"line_number": 40,
"usage_type": "argument"
},
{
"api_n... |
21415819246 | import statistics
import random
import pandas as pd
import plotly_express as px
import plotly.figure_factory as ff
import plotly.graph_objects as go
file1 = pd.read_csv('data.csv')
data = df['reading_time'].tolist()
dataset = []
def randomdata():
for i in range(0,100):
index = random.randint(0,(len(data... | SaanviSinha/Project-110 | program.py | program.py | py | 1,003 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "statistics.mean",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "statistics.mean",
"... |
75224693472 | from data import *
from models import *
import argparse
import os
import pickle
parser = argparse.ArgumentParser(description='NLI training')
parser.add_argument("--data_path", type=str, default='./data', help="path to data")
# model
parser.add_argument("--encoder_type", type=str, default='GRUEncoder', help="see lis... | tingchunyeh/Sentence-Sim | train.py | train.py | py | 7,510 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 73,
"usage_type": "attribute"
},
{
"api_name": "torch.optim.Adam",
... |
8272807423 | # MAGIC CODEFORCES PYTHON FAST IO
import atexit
import io
import sys
_INPUT_LINES = sys.stdin.read().splitlines()
input = iter(_INPUT_LINES).__next__
_OUTPUT_BUFFER = io.StringIO()
sys.stdout = _OUTPUT_BUFFER
@atexit.register
def write():
sys.__stdout__.write(_OUTPUT_BUFFER.getvalue())
# END OF MAGIC CODEFORCES P... | elsantodel90/cses-problemset | food_division.py | food_division.py | py | 644 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "sys.stdin.read",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "io.StringIO",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number"... |
36343414639 | # -*- coding: utf-8 -*-
import pymysql
from learn_pymysql.test_api.mysql_api import MysqlClient
from learn_pymysql.test_api.redis import RedisClient
from learn_project.my_project.test_api.test_public import Job
class StuChooseCls(object):
@staticmethod
def create_course(token, course):
"""
创建... | Liabaer/Test | learn_flask/course/course_selection_project/course_selection_api/stu_choose_service.py | stu_choose_service.py | py | 5,442 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "learn_project.my_project.test_api.test_public.Job.get_time",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "learn_project.my_project.test_api.test_public.Job",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "learn_pymysql.test_api.mysql_api.Mys... |
20523314908 | from telegram import Update, Bot, InlineKeyboardButton, InlineKeyboardMarkup
from telegram.ext import Updater, CommandHandler, MessageHandler, Filters, CallbackQueryHandler
from tg_token import token
bot = Bot(token)
updater = Updater(token, use_context = True)
dispatcher = updater.dispatcher
def printt(update, conte... | letSmilesz/meet_python | seminar10/telegram_bot.py | telegram_bot.py | py | 2,548 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "telegram.Bot",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "tg_token.token",
"line_number": 5,
"usage_type": "argument"
},
{
"api_name": "telegram.ext.Updater",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "tg_token.token",
... |
38728874269 | import speech_recognition as sr
import os
from gtts import gTTS
import datetime
import pyttsx3
import playsound
import warnings
import pyaudio
import random
import datetime
import time
import calendar
import wikipedia
warnings.filterwarnings("ignore")
engine = pyttsx3.init()
voices = engine.getProperty('rate')
engine... | cs-darshan/AIR | main.py | main.py | py | 4,105 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pyttsx3.init",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "speech_recognition.Recognizer",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "sp... |
10924485509 | from selenium import webdriver
from selenium.webdriver.common.keys import Keys
"""
在 main 方法中才会延迟输出
"""
def auto_search():
"""
自动搜索
:return:
"""
driver = webdriver.Chrome()
url = "http://www.dianping.com"
# url = "https://www.baidu.com/"
driver.get(url)
# 获取页面元素
print(driv... | logonmy/spider-mz | utils/selenium_utils_delay.py | selenium_utils_delay.py | py | 1,411 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.common.keys.Keys.RETURN",
"line_number": 29,
"usage_type": "attribute"
... |
14085867754 | # -*- coding: utf-8 -*-
"""
Created on Tue Mar 17 15:15:36 2020
@author: Administrator
"""
import numpy as np
import torch
import torch.nn as nn
import time
#import skimage.measure as sm
import skimage.metrics as sm
import cv2
from osgeo import gdal
import matplotlib.pyplot as plt
###img read t... | endu111/remote-sensing-images-fusion | STARFM_torch.py | STARFM_torch.py | py | 11,637 | python | en | code | 38 | github-code | 1 | [
{
"api_name": "cv2.imread",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "osgeo.gdal.Open",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "osgeo.gdal",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "torch.log",
"line_number": ... |
5409861942 | import torch
import torch.nn as nn
import statistics
import torchvision.models as models
import torch.nn.functional as F
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
class encoder(nn.Module):
def __init__(self, embed_size, model, unfreeze=10):
super(encoder, self).__init__()
... | bhavyanarang/Image-Captioning | scripts/models.py | models.py | py | 14,504 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "torch.device",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Module",
... |
32301689640 | #!/usr/bin/env python3
import os
import argparse
import copy
import time
import json
import signal
import types
from datetime import datetime
from contextlib import contextmanager
import wandb
import yaml
def main():
args = parse_args()
init_wandb(args)
log_parser = LogParser(args.experiment_dir, wait_f... | b0hd4n/multitarget_mt | scripts/wandb_runner.py | wandb_runner.py | py | 13,135 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "wandb.log",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path.basename",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "os.path",
"lin... |
10785644029 | # coding:utf-8
"""
@file: .py
@author: dannyXSC
@ide: PyCharm
@createTime: 2022年05月15日 19点47分
@Function: 把协作关系转化为csv文件
"""
import pandas as pd
from Reader.CoauthorReader import read_coauthor
from utils import get_coauthor_csv_path, timer
coauthor_path = get_coauthor_csv_path()
collaboration_list = []
@timer("读取协作关... | dannyXSC/BusinessIntelligence | ETL/Service/TransformCoauthorToCSV.py | TransformCoauthorToCSV.py | py | 956 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "utils.get_coauthor_csv_path",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "Reader.CoauthorReader.read_coauthor",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "utils.timer",
"line_number": 19,
"usage_type": "call"
},
{
"api_n... |
71039993315 | import requests
import pandas as pd
def get_children_leis(targetLei):
"""
Gets a list of LEIs for all ultimate children of a given LEI.
Parameters
----------
targetLei : str
The LEI of the parent entity for which the ultimate children LEIs are to be retrieved.
Returns
-------
... | Donquicote/utils | utils.py | utils.py | py | 2,005 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "requests.request",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "requests.request",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
... |
19323733535 | import random
import uuid
import copy
import json
import multihash
from intergov.domain.jurisdiction import Jurisdiction
from intergov.domain.wire_protocols import generic_discrete as gd
from intergov.domain import uri as u
from intergov.serializers import generic_discrete_message as ser
def _random_multihash():
... | bizcubed/intergov | tests/unit/domain/wire_protocols/test_generic_message.py | test_generic_message.py | py | 6,256 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "uuid.uuid4",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "multihash.to_b58_string",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "multihash.encode",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "random.choice",
... |
14202406531 | from typing import ClassVar, Dict, List, Type, Union, TYPE_CHECKING
from typing_extensions import Annotated
from inflection import underscore
from pydantic import BaseModel, Field, ConfigDict, BeforeValidator, PlainSerializer
from pydantic.functional_validators import AfterValidator
from pydantic._internal._model_con... | teej/titan | titan/resources/base.py | base.py | py | 15,887 | python | en | code | 91 | github-code | 1 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "typing_extensions.Annotated",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "pydantic.functional_validators.AfterValidator",
"line_number": 37,
"usage_type": "call"
... |
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