text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_prefix|># repo: skojaku/hokusai-plot path: /scripts/point2net.py
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
from scipy import spatial
import networkx as nx
import sys
if __name__ == "__main__":
<|fim_suffix|> D = spatial.distance.squareform(spatial.distance.pdist(df))
d ... | code_fim | hard | {
"lang": "python",
"repo": "skojaku/hokusai-plot",
"path": "/scripts/point2net.py",
"mode": "psm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> pos = {}
r, c = np.nonzero(np.triu(Arand))
for i in range(N):
pos[i] = np.array([df.iloc[i, 0], -df.iloc[i, 1]])
for node, (x, y) in pos.items():
G.node[node]["x"] = float(x)
G.node[node]["y"] = float(y)
nx.write_graphml(G, OUTPUTFILE)
#nx.draw_networkx... | code_fim | hard | {
"lang": "python",
"repo": "skojaku/hokusai-plot",
"path": "/scripts/point2net.py",
"mode": "spm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: eerimoq/asn1tools path: /tests/files/named_numbers.py
EXPECTED = {'Foo': {'extensibility-implied': False,
'imports': {},
'object-classes': {},
'object-sets': {},
'tags': 'AUTOMATIC',
'types': {'A': {'restricted-to': [('min', 'max')],
... | code_fim | hard | {
"lang": "python",
"repo": "eerimoq/asn1tools",
"path": "/tests/files/named_numbers.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> 'restricted-to': [(-1, 2)],
'type': 'INTEGER'}},
'values': {'min': {'type': 'INTEGER', 'value': 3},
'zero': {'type': 'INTEGER', 'value': 0}}}}<|fim_prefix|># repo: eerimoq/asn1tools path: /tests/files/named_numbers.py
EXPECTED... | code_fim | hard | {
"lang": "python",
"repo": "eerimoq/asn1tools",
"path": "/tests/files/named_numbers.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Rorzzer/AI-Python-Game path: /parta.py
# Part A
# File: parta.py
#
# TEAM ...
import sys
import a_massacre
import a_moves
from watchurback import Board
def main(argv):
<|fim_suffix|> action = input_file.readline().strip().upper()
actions = {
'MOVES': a_moves.on_action,
... | code_fim | hard | {
"lang": "python",
"repo": "Rorzzer/AI-Python-Game",
"path": "/parta.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def default_action(action: str, board: Board):
print('Unknown action command ' + action)
print('Just have a look at the board:')
board.print_board()
if __name__ == "__main__":
main(sys.argv[1:])<|fim_prefix|># repo: Rorzzer/AI-Python-Game path: /parta.py
# Part A
# File: parta.py
#
# TE... | code_fim | medium | {
"lang": "python",
"repo": "Rorzzer/AI-Python-Game",
"path": "/parta.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>@client.command(pass_context=True)
async def load(ctx, extension):
if ctx.message.author.id == '424221454490402816':
try:
client.load_extension(extension)
print("Loaded %s." % (extension))
await client.say("Loaded %s" % (extension))
except Exception as error:
print("%s cannot be... | code_fim | hard | {
"lang": "python",
"repo": "thewaifuproject/waifubot",
"path": "/Chain.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|>extensions = ['misc', 'help', 'music', 'games', 'trivia', 'love']
@client.event
async def on_ready():
print("Bot is Kawaii and Ready.")
await client.change_presence(game=discord.Game(name="it Cool."))
#FOR TESTING PURPOSES#
@client.command(pass_context=True)
async def announcement(ctx, *args... | code_fim | medium | {
"lang": "python",
"repo": "thewaifuproject/waifubot",
"path": "/Chain.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: thewaifuproject/waifubot path: /Chain.py
import discord
from discord.ext.commands import Bot
from discord.ext import commands
import asyncio
import aiohttp
from io import BytesIO
import random
import time
import youtube_dl
import json
TOKEN = open("secret").read()
Client = discord... | code_fim | hard | {
"lang": "python",
"repo": "thewaifuproject/waifubot",
"path": "/Chain.py",
"mode": "psm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: antocuni/capnpy path: /capnpy/testing/compiler/test_null.py
import py
import pytest
import six
from six import b
from capnpy.testing.compiler.support import CompilerTest
class TestNullPointers(CompilerTest):
@py.test.fixture
def mod(self):
schema = """
@0xbf5147cbbecf40... | code_fim | hard | {
"lang": "python",
"repo": "antocuni/capnpy",
"path": "/capnpy/testing/compiler/test_null.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> @py.test.fixture
def mod(self):
schema = """
@0xbf5147cbbecf40c1;
using Py = import "/capnpy/annotate.capnp";
struct Foo {
x :group $Py.nullable {
isNull @0 :Bool;
value @1 :Int64;
}
}
struct B... | code_fim | hard | {
"lang": "python",
"repo": "antocuni/capnpy",
"path": "/capnpy/testing/compiler/test_null.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> schema = """
@0xbf5147cbbecf40c1;
using Py = import "/capnpy/annotate.capnp";
struct Foo {
x :group $Py.nullable {
isNull @0 :Bool;
value @1 :Int64;
}
}
struct Bar {
point :group $Py.nullab... | code_fim | hard | {
"lang": "python",
"repo": "antocuni/capnpy",
"path": "/capnpy/testing/compiler/test_null.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def main():
euler_num: float = calculate_euler(10)
print(f"Euler's number using vectorization {euler_num: .4f}")
if __name__ == "__main__":
main()<|fim_prefix|># repo: hhandika/stats-from-scratch path: /euler-number/python/simple_euler.py
"""
Heru Handika
12 September 2020
Euler's number fin... | code_fim | medium | {
"lang": "python",
"repo": "hhandika/stats-from-scratch",
"path": "/euler-number/python/simple_euler.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hhandika/stats-from-scratch path: /euler-number/python/simple_euler.py
"""
Heru Handika
12 September 2020
Euler's number finder.
Using for loop
"""
#%%
def calculate_factorial(n: int) -> int:
if n == 0 or n == 1:
return 1
else:
return n * calculate_factorial(n-1)
<|fim_su... | code_fim | medium | {
"lang": "python",
"repo": "hhandika/stats-from-scratch",
"path": "/euler-number/python/simple_euler.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Separate data into instructions and actions
text_instructions = []
text_actions = []
IN = True
for example in raw_data:
new_instruction = ['<SOS>']
new_action = ['<SOS>']
for word in example.split():
if word == '... | code_fim | hard | {
"lang": "python",
"repo": "jlrussin/syntactic_attention",
"path": "/data.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jlrussin/syntactic_attention path: /data.py
import torch
from torch.utils.data import Dataset
class ScanDataset(Dataset):
def __init__(self, file, vocab=None):
self.file = file
# Read all data into memory
with open(file,'r') as f:
raw_data = f.readlines(... | code_fim | hard | {
"lang": "python",
"repo": "jlrussin/syntactic_attention",
"path": "/data.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def section(data):
return "\n".join([row(key, data[key]) for key in sorted(data.keys())])
kw = {k: section(data[k]) for k in ("methods", "data")}
print(page.format(**kw))<|fim_prefix|># repo: kbase/narrative path: /kbase-extension/static/kbase/show_icons.py
"""
Build a simple HTML page showing all ... | code_fim | hard | {
"lang": "python",
"repo": "kbase/narrative",
"path": "/kbase-extension/static/kbase/show_icons.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> r = '<tr><td style="padding-top: 2em">{}</td>'.format(name)
r += '<td class="fa-stack fa-2x" >'
color = color_lookup(name)
r += '<i class="fa fa-circle fa-stack-2x" style="color: {}"></i>'.format(color)
for icon in icons:
r += '<i class="fa fa-inverse fa-stack-1x {}"></i>'.form... | code_fim | hard | {
"lang": "python",
"repo": "kbase/narrative",
"path": "/kbase-extension/static/kbase/show_icons.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kbase/narrative path: /kbase-extension/static/kbase/show_icons.py
"""
Build a simple HTML page showing all current icons in icons.json
"""
import json
f = open("icons.json")
page = """<html>
<head>
<link rel="stylesheet" href="http://maxcdn.bootstrapcdn.com/font-awesome/4.3.0/css/font-awesome.mi... | code_fim | hard | {
"lang": "python",
"repo": "kbase/narrative",
"path": "/kbase-extension/static/kbase/show_icons.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ranjithpeddi/mimic path: /mimic/test/test_flavors.py
"""
Tests for :mod:`nova_api` and :mod:`nova_objects` for flavors.
"""
from __future__ import absolute_import, division, unicode_literals
from twisted.trial.unittest import SynchronousTestCase
from mimic.test.helpers import json_request, req... | code_fim | hard | {
"lang": "python",
"repo": "ranjithpeddi/mimic",
"path": "/mimic/test/test_flavors.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_get_flavor(self):
"""
Test to verify :func:`get_flavor` on ``GET /v2.0/<tenant_id>/flavors/<flavor_id>``
"""
get_server_flavor = self.get_server_flavor('/flavors/2')
self.assertEqual(get_server_flavor['flavor']['id'], '2')
def test_get_server_flavo... | code_fim | hard | {
"lang": "python",
"repo": "ranjithpeddi/mimic",
"path": "/mimic/test/test_flavors.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: adafruit/circuitpython path: /tests/micropython/heap_lock.py
# check that heap_lock/heap_unlock work as expected
import micropython
l = []
l2 = list(range(100))
micropython.heap_lock()
micropython.heap_lock()
# general allocation on the heap
try:
print([])
except MemoryError:
print("M... | code_fim | hard | {
"lang": "python",
"repo": "adafruit/circuitpython",
"path": "/tests/micropython/heap_lock.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>micropython.heap_unlock()
# check that allocation works after an unlock
print([])<|fim_prefix|># repo: adafruit/circuitpython path: /tests/micropython/heap_lock.py
# check that heap_lock/heap_unlock work as expected
import micropython
l = []
l2 = list(range(100))
micropython.heap_lock()
micropython.h... | code_fim | hard | {
"lang": "python",
"repo": "adafruit/circuitpython",
"path": "/tests/micropython/heap_lock.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
b = Button(master, text="Send 1", command=callback)
b.pack()
mainloop()<|fim_prefix|># repo: plocci/cobalto path: /bluetoothTest/testserial.py
#python 3.4
import serial
from tkinter import *
arduinoSerialPort = serial.Serial("COM4", 9600)
<|fim_middle|>
master = Tk()
arduinoSerialPort.isOpen()
def ... | code_fim | medium | {
"lang": "python",
"repo": "plocci/cobalto",
"path": "/bluetoothTest/testserial.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: plocci/cobalto path: /bluetoothTest/testserial.py
#python 3.4
import serial
from tkinter import *
arduinoSerialPort = serial.Serial("COM4", 9600)
master = Tk()
arduinoSerialPort.isOpen()
<|fim_suffix|>b = Button(master, text="Send 1", command=callback)
b.pack()
mainloop()<|fim_middle|>def c... | code_fim | medium | {
"lang": "python",
"repo": "plocci/cobalto",
"path": "/bluetoothTest/testserial.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def test_all_consumed_recommend(pure_data_small, monkeypatch):
_, train_data, eval_data, data_info = pure_data_small
set_ranking_labels(train_data)
set_ranking_labels(eval_data)
model = UserCF(task="ranking", data_info=data_info)
model.fit(train_data, neg_sampling=False, verbose=0)
... | code_fim | hard | {
"lang": "python",
"repo": "massquantity/LibRecommender",
"path": "/tests/models/test_user_cf.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: massquantity/LibRecommender path: /tests/models/test_user_cf.py
import numpy as np
import pytest
from libreco.algorithms import UserCF
from tests.utils_data import remove_path, set_ranking_labels
from tests.utils_metrics import get_metrics
from tests.utils_pred import ptest_preds
from tests.util... | code_fim | hard | {
"lang": "python",
"repo": "massquantity/LibRecommender",
"path": "/tests/models/test_user_cf.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: QuenLo/LeetCode-share path: /283-Move_Zeroes.py
class Solution:
def moveZeroes(self, nums: List[int]) -> None:
"""
Do not return anything, modify nums in-place instead.
"""
<|fim_suffix|>class SolutionII:
def moveZeroes(self, nums: List[int]) -> None:
"""
... | code_fim | hard | {
"lang": "python",
"repo": "QuenLo/LeetCode-share",
"path": "/283-Move_Zeroes.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Do not return anything, modify nums in-place instead.
"""
i = 0
for cur in range(len(nums)):
if nums[cur]:
temp = nums[i], nums[cur]
nums[cur], nums[i] = temp
i += 1<|fim_prefix|># repo: QuenLo/LeetCod... | code_fim | hard | {
"lang": "python",
"repo": "QuenLo/LeetCode-share",
"path": "/283-Move_Zeroes.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: qixiuai/BCGHeart path: /mean_hearts/findpeaks3.py
import numpy as np
def transform_signal_by_energy(signal, window_size=0.3, fs=100):
energy = []
window_size = int(window_size*fs)
for ind in range(len(signal)-window_size+1):
window = signal[ind:ind+window_size]
ener... | code_fim | hard | {
"lang": "python",
"repo": "qixiuai/BCGHeart",
"path": "/mean_hearts/findpeaks3.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if not peaks:
return [], [], [], 0
# apply thres
max_indicator = max(peaks,key=lambda peak:peak.indicator_value).indicator_value
min_indicator = min(peaks,key=lambda peak:peak.indicator_value).indicator_value
thres_abs = min_indicator + thres * (max_indicator - min_indicat... | code_fim | hard | {
"lang": "python",
"repo": "qixiuai/BCGHeart",
"path": "/mean_hearts/findpeaks3.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def main():
nodes = [1, 2, 3, 4, 5, 6, None, None, None, 7]
root = generate_B_tree(nodes, 0)
postorder_traversal_by_recursion(root)
print()
postorder_traversal(root)
print()
if __name__ == '__main__':
main()<|fim_prefix|># repo: InnoFang/algo-set path: /Data Structure/Tree/... | code_fim | hard | {
"lang": "python",
"repo": "InnoFang/algo-set",
"path": "/Data Structure/Tree/Traversal/Post Order/main.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def generate_B_tree(nodes, index):
node = None
if index < len(nodes) and nodes[index]:
node = TreeNode(nodes[index])
node.left = generate_B_tree(nodes, index * 2 + 1)
node.right = generate_B_tree(nodes, index * 2 + 2)
return node
def main():
nodes = [1, 2, 3, 4, ... | code_fim | hard | {
"lang": "python",
"repo": "InnoFang/algo-set",
"path": "/Data Structure/Tree/Traversal/Post Order/main.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: InnoFang/algo-set path: /Data Structure/Tree/Traversal/Post Order/main.py
class TreeNode:
def __init__(self, x):
self.val = x
self.left = None
self.right = None
'''
The binary tree in this example is shown as follow
1
/ \
2 3
/ \ /
4 ... | code_fim | hard | {
"lang": "python",
"repo": "InnoFang/algo-set",
"path": "/Data Structure/Tree/Traversal/Post Order/main.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: meraki-analytics/cassiopeia path: /cassiopeia/data.py
}[string]
class Position(Enum):
top = "TOP"
middle = "MIDDLE"
jungle = "JUNGLE"
bottom = "BOTTOM"
utility = "UTILITY"
apex = "APEX"
none = "NONE"
def from_league_naming_scheme(string: str):
r... | code_fim | hard | {
"lang": "python",
"repo": "meraki-analytics/cassiopeia",
"path": "/cassiopeia/data.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return {i: queue for queue, i in QUEUE_IDS.items()}[id]
@property
def id(self):
return QUEUE_IDS[self]
QUEUE_IDS = {
Queue.custom: 0, # Custom games
Queue.deprecated_blind_fives: 2, # Summoner's Rift 5v5 Blind Pick games Deprecated in patch 7.19 in favor of queue... | code_fim | hard | {
"lang": "python",
"repo": "meraki-analytics/cassiopeia",
"path": "/cassiopeia/data.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: meraki-analytics/cassiopeia path: /cassiopeia/data.py
pport,
"NONE": Role.none,
"SOLO": Role.solo,
}[string]
class Position(Enum):
top = "TOP"
middle = "MIDDLE"
jungle = "JUNGLE"
bottom = "BOTTOM"
utility = "UTILITY"
apex = "APEX"
none... | code_fim | hard | {
"lang": "python",
"repo": "meraki-analytics/cassiopeia",
"path": "/cassiopeia/data.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> The rule's arguments are validated against this schema:
{'type': 'string'}
"""
if not self._is_valid_cp_format(value):
self._error(field, "Invalid cellphone number format.")
def _is_valid_cp_format(self, cp_no: str) -> bool:
cp_no_list = list(cp_no)... | code_fim | medium | {
"lang": "python",
"repo": "develamove/courier-api",
"path": "/src/utils/custom_validator.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if cp_no_list[0:4] == ['+', '6', '3', '9'] and len(cp_no_list) == 13:
return True
return False<|fim_prefix|># repo: develamove/courier-api path: /src/utils/custom_validator.py
from cerberus import Validator
class CustomValidator(Validator):
def _check_with_cp_no_format(... | code_fim | hard | {
"lang": "python",
"repo": "develamove/courier-api",
"path": "/src/utils/custom_validator.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: develamove/courier-api path: /src/utils/custom_validator.py
from cerberus import Validator
class CustomValidator(Validator):
def _check_with_cp_no_format(self, field, value):
"""Checks if the cellphone number format is followed (PH cellphone number format)
The rule's argume... | code_fim | medium | {
"lang": "python",
"repo": "develamove/courier-api",
"path": "/src/utils/custom_validator.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: brynhayder/reinforcement_learning_an_introduction path: /code/exercises/ex_5_10/model.py
#!/usr/bin/env python
"""
--------------------------------
project: code
created: 06/06/2018 15:59
---------------------------------
This code is not threadsafe, due to the RandomStates being passed around
"... | code_fim | hard | {
"lang": "python",
"repo": "brynhayder/reinforcement_learning_an_introduction",
"path": "/code/exercises/ex_5_10/model.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.new_race()
return self
def __exit__(self, exc_type, exc_val, exc_tb):
pass
@staticmethod
def _stationary():
return 0, 0
def _noise(self):
if self.noise_level is None:
return False
return self.random_state.binomial(n=1, p=s... | code_fim | hard | {
"lang": "python",
"repo": "brynhayder/reinforcement_learning_an_introduction",
"path": "/code/exercises/ex_5_10/model.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tensorflow/graphics path: /tensorflow_graphics/nn/loss/chamfer_distance.py
# Copyright 2020 The TensorFlow Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# ... | code_fim | hard | {
"lang": "python",
"repo": "tensorflow/graphics",
"path": "/tensorflow_graphics/nn/loss/chamfer_distance.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> minimum_square_distance_a_to_b = tf.reduce_min(
input_tensor=square_distances, axis=-1)
minimum_square_distance_b_to_a = tf.reduce_min(
input_tensor=square_distances, axis=-2)
return (
tf.reduce_mean(input_tensor=minimum_square_distance_a_to_b, axis=-1) +
tf.re... | code_fim | hard | {
"lang": "python",
"repo": "tensorflow/graphics",
"path": "/tensorflow_graphics/nn/loss/chamfer_distance.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: forksbot/byceps path: /byceps/services/board/dbmodels/last_category_view.py
"""
byceps.services.board.dbmodels.last_category_view
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
:Copyright: 2006-2021 Jochen Kupperschmidt
:License: Revised BSD (see `LICENSE` file for details)
"""
from datetime... | code_fim | medium | {
"lang": "python",
"repo": "forksbot/byceps",
"path": "/byceps/services/board/dbmodels/last_category_view.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __init__(
self, user_id: UserID, category_id: CategoryID, occurred_at: datetime
) -> None:
self.user_id = user_id
self.category_id = category_id
self.occurred_at = occurred_at
def __repr__(self) -> str:
return ReprBuilder(self) \
.add_wi... | code_fim | hard | {
"lang": "python",
"repo": "forksbot/byceps",
"path": "/byceps/services/board/dbmodels/last_category_view.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class LastCategoryView(db.Model):
"""The last time a user looked into specific category."""
__tablename__ = 'board_categories_lastviews'
user_id = db.Column(db.Uuid, db.ForeignKey('users.id'), primary_key=True)
category_id = db.Column(db.Uuid, db.ForeignKey('board_categories.id'), prima... | code_fim | hard | {
"lang": "python",
"repo": "forksbot/byceps",
"path": "/byceps/services/board/dbmodels/last_category_view.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: owodunni/questlog path: /backend/questlog/controllers/default_controller.py
import connexion
import six
<|fim_suffix|>
:rtype: None
"""
return "do some magic!"<|fim_middle|>from questlog import util
def get_healthcheck(): # noqa: E501
"""Server healtcheck
Check if the ser... | code_fim | medium | {
"lang": "python",
"repo": "owodunni/questlog",
"path": "/backend/questlog/controllers/default_controller.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Server healtcheck
Check if the server is operational # noqa: E501
:rtype: None
"""
return "do some magic!"<|fim_prefix|># repo: owodunni/questlog path: /backend/questlog/controllers/default_controller.py
import connexion
import six
from questlog import util
<|fim_middle|>def ... | code_fim | easy | {
"lang": "python",
"repo": "owodunni/questlog",
"path": "/backend/questlog/controllers/default_controller.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def get_healthcheck(): # noqa: E501
"""Server healtcheck
Check if the server is operational # noqa: E501
:rtype: None
"""
return "do some magic!"<|fim_prefix|># repo: owodunni/questlog path: /backend/questlog/controllers/default_controller.py
import connexion
import six
<|fim_mid... | code_fim | easy | {
"lang": "python",
"repo": "owodunni/questlog",
"path": "/backend/questlog/controllers/default_controller.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: 4rund3v/dailyCode path: /batch1/problem101.py
"""
Given an even number (greater than 2), return two prime numbers whose sum will be equal to the given number.
A solution will always exist. See Goldbach’s conjecture.
Example:
<|fim_suffix|>If [a, b] is one solution with a <= b, and [c, d] is an... | code_fim | medium | {
"lang": "python",
"repo": "4rund3v/dailyCode",
"path": "/batch1/problem101.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # prepare the list of prime numbers then find the smallest pair that constitutes the result.
num_list = [0]*(value+1)
sieve_of_eratosthenes(value, num_list)
val = None
for i in range(0, value):
if num_list[i] and num_list[value-i] :
print(' The sum {} : {} + {}'.fo... | code_fim | medium | {
"lang": "python",
"repo": "4rund3v/dailyCode",
"path": "/batch1/problem101.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rauladw/nand2tetris path: /project08/VMTranslator.py
import sys
from pathlib import Path
import Parser
import CodeWriter
class VMTranslator():
def __init__(self) -> None:
self.parser = None
self.code_writer = None
self.input_path_is_dir = None
self... | code_fim | hard | {
"lang": "python",
"repo": "rauladw/nand2tetris",
"path": "/project08/VMTranslator.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> vm_translator = VMTranslator()
vm_translator.input_path_is_dir = input_is_dir
vm_translator.vm_files_count = len(vm_files)
child_path = file_path.joinpath(f'{file_path.stem}')
vm_translator.asm_file = child_path
for file in vm_files:
vm_translator.current_file = f... | code_fim | hard | {
"lang": "python",
"repo": "rauladw/nand2tetris",
"path": "/project08/VMTranslator.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if not self.has_boostrap:
self.write_bootstrap()
while self.parser.has_more_commands():
self.parser.advance()
if self.parser.command_type() == 'C_ARITHMETIC':
self.code_writer.write_arithmetic(self.parser.command())
el... | code_fim | hard | {
"lang": "python",
"repo": "rauladw/nand2tetris",
"path": "/project08/VMTranslator.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nastein/Hack-the-North path: /wikinet/json2hdf.py
#!/usr/bin/env python3
import json
import re
import time
import os
from collections import namedtuple
import numpy as np
import h5py
from tqdm import tqdm
filter_title_re = re.compile("(?:Wikipedia:|:?Category:|:?File:|Media:|:?Image:|:?Templ... | code_fim | hard | {
"lang": "python",
"repo": "nastein/Hack-the-North",
"path": "/wikinet/json2hdf.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> assert len(pages) == len(adjacency_list)
print("writing output...")
nv = len(adjacency_list)
ne = sum(len(row) for row in adjacency_list)
IA = np.zeros((nv + 1,), dtype=np.int32)
IA[1:] = np.cumsum([len(row) for row in adjacency_list], dtype=np.int32)
JA = np.zeros((ne,), dt... | code_fim | hard | {
"lang": "python",
"repo": "nastein/Hack-the-North",
"path": "/wikinet/json2hdf.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: SKKU-ESLAB/Auto-Compression path: /pruning/detection/Yet-Another-EfficientDet-Pytorch-Convert-ONNX-TVM/efficientnet/utils_extra.py
# Author: Zylo117
import math
from torch import nn
import torch.nn.functional as F
class Conv2dStaticSamePadding(nn.Module):
"""
created by Zylo117
Th... | code_fim | hard | {
"lang": "python",
"repo": "SKKU-ESLAB/Auto-Compression",
"path": "/pruning/detection/Yet-Another-EfficientDet-Pytorch-Convert-ONNX-TVM/efficientnet/utils_extra.py",
"mode": "psm",
"license": "LGPL-3.0-only",
"source": "the-stack-v2"
} |
<|fim_suffix|> if isinstance(self.stride, int):
self.stride = [self.stride] * 2
elif len(self.stride) == 1:
self.stride = [self.stride[0]] * 2
if isinstance(self.kernel_size, int):
self.kernel_size = [self.kernel_size] * 2
elif len(self.kernel_size) ==... | code_fim | hard | {
"lang": "python",
"repo": "SKKU-ESLAB/Auto-Compression",
"path": "/pruning/detection/Yet-Another-EfficientDet-Pytorch-Convert-ONNX-TVM/efficientnet/utils_extra.py",
"mode": "spm",
"license": "LGPL-3.0-only",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dwave/BestRentalHousing path: /BestRentalHousing .py
import xlrd
import requests
import json
import xlsxwriter
import time
API_key = "<自己的高德题图API_key>"
tables = []
def get_location(address):
"""获取经纬度"""
url = "https://restapi.amap.com/v3/geocode/geo?address={}&output=js... | code_fim | hard | {
"lang": "python",
"repo": "dwave/BestRentalHousing",
"path": "/BestRentalHousing .py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> out_table = []
tables = read_excel();
del tables[0]
i =0
address1 = "自己的公司地址 越精确越好"
address2 = "另一半的公司地址 越精确越好"
#所在城市区号
areaCode = "0755"
ll1 = get_location(address1)
ll2 = get_location(address2)
#出发时间
outDoorDate = "2021-08-25"
outDoorTime =... | code_fim | hard | {
"lang": "python",
"repo": "dwave/BestRentalHousing",
"path": "/BestRentalHousing .py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> #按照花费排序
costs2.sort(key = lambda x:x[0])
# print("按照花费排序"+str(costs))
row["另一半最少花费时间"]= float(costs2[0][1])
# row["最少花费"]=str(cost)+"---"+str(costs[0][0])
row["另一半最少花费"]=float(costs2[0][0])
if row["最短时间"] == None or row["最短时间"] == '':
... | code_fim | hard | {
"lang": "python",
"repo": "dwave/BestRentalHousing",
"path": "/BestRentalHousing .py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>class RugSub:
def __init__(self, address):
context = zmq.Context()
self.socket = context.socket(zmq.SUB)
self.socket.connect(address)
print("[Info] Connected to: {address}".format(address=address))
def subscribe(self, topic):
self.socket.setsockopt(zmq.SUBSCRIBE, topic)
... | code_fim | medium | {
"lang": "python",
"repo": "celliott/ruglib",
"path": "/app/rugs.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: celliott/ruglib path: /app/rugs.py
#!/usr/bin/python
import zmq, json, os
class RugPub:
def __init__(self, address):
context = zmq.Context()
self.socket = context.socket(zmq.PUB)
self.socket.bind(address)
print("[Info] Bound to 0MQ: {address}".format(address=address))
... | code_fim | medium | {
"lang": "python",
"repo": "celliott/ruglib",
"path": "/app/rugs.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> context = zmq.Context()
self.socket = context.socket(zmq.SUB)
self.socket.connect(address)
print("[Info] Connected to: {address}".format(address=address))
def subscribe(self, topic):
self.socket.setsockopt(zmq.SUBSCRIBE, topic)
print("[Info] Subscribed to topic: {topic}".f... | code_fim | medium | {
"lang": "python",
"repo": "celliott/ruglib",
"path": "/app/rugs.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: daisycrego/mercury-telemetry path: /mercury/migrations/0021_auto_20200502_1312.py
# Generated by Django 2.2.10 on 2020-05-02 13:12
from django.db import migrations, models
<|fim_suffix|>
dependencies = [
("mercury", "0020_auto_20200421_1647"),
]
operations = [
migra... | code_fim | easy | {
"lang": "python",
"repo": "daisycrego/mercury-telemetry",
"path": "/mercury/migrations/0021_auto_20200502_1312.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> dependencies = [
("mercury", "0020_auto_20200421_1647"),
]
operations = [
migrations.AlterField(
model_name="gfconfig",
name="gf_token",
field=models.CharField(blank=True, max_length=256),
),
]<|fim_prefix|># repo: daisycrego/mer... | code_fim | easy | {
"lang": "python",
"repo": "daisycrego/mercury-telemetry",
"path": "/mercury/migrations/0021_auto_20200502_1312.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>res = minimize(problem,
algorithm,
seed=1,
verbose=False)
print("Best solution found: \nX = %s\nF = %s" % (res.X, res.F))<|fim_prefix|># repo: Peng-YM/pymoo path: /pymoo/usage/misc/usage_initialize_not_evaluated.py
import numpy as np
from pymoo.algorithms.so... | code_fim | medium | {
"lang": "python",
"repo": "Peng-YM/pymoo",
"path": "/pymoo/usage/misc/usage_initialize_not_evaluated.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Peng-YM/pymoo path: /pymoo/usage/misc/usage_initialize_not_evaluated.py
import numpy as np
from pymoo.algorithms.so_genetic_algorithm import GA
from pymoo.factory import get_problem
from pymoo.optimize import minimize
problem = get_problem("sphere")
X = np.random.random((500, problem.n_var))
... | code_fim | medium | {
"lang": "python",
"repo": "Peng-YM/pymoo",
"path": "/pymoo/usage/misc/usage_initialize_not_evaluated.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> cmd = op.join(thome, "Trinity.pl")
cmd += " --seqType fq --JM 100G --CPU {0}".format(opts.cpus)
if paired:
cmd += " --left {0} --right {1}".format(reads[0][-1], reads[1][-1])
else:
cmd += " --single {0}".format(reads[0][-1])
runfile = "run.sh"
write_file(runfile, c... | code_fim | hard | {
"lang": "python",
"repo": "yangjl/jcvi",
"path": "/assembly/trinity.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yangjl/jcvi path: /assembly/trinity.py
#!/usr/bin/env python
# -*- coding: UTF-8 -*-
"""
Trinity assembly of RNAseq reads. Contains de novo (DN) method and genome-guided
(GG) method.
DN: http://trinityrnaseq.sourceforge.net/
GG: http://trinityrnaseq.sourceforge.net/genome_guided_trinity.html
""... | code_fim | hard | {
"lang": "python",
"repo": "yangjl/jcvi",
"path": "/assembly/trinity.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>def dn(args):
"""
%prog dn folder
Run Trinity-DN on a folder of reads. When paired-end (--paired) mode is on,
filenames will be scanned based on whether they contain "_1_" and "_2_".
"""
p = OptionParser(dn.__doc__)
p.add_option("--paired", default=False, action="store_true",
... | code_fim | hard | {
"lang": "python",
"repo": "yangjl/jcvi",
"path": "/assembly/trinity.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_product_stealability_and_explode(self):
"""
Test product stealability and explosiveness
"""
prod = Product('Test Product', weight=200, flammability=5.0)
stealable = prod.stealability()
explodable = prod.explode()
self.assertEqual(stealab... | code_fim | hard | {
"lang": "python",
"repo": "wel51x/DS-Unit-3-Sprint-1-Software-Engineering",
"path": "/acme_test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Test for legal product names
"""
adjectives = ['Awesome', 'Shiny', 'Impressive', 'Portable', 'Improved']
nouns = ['Anvil', 'Catapult' 'Disguise' 'Mousetrap', '???']
products = acme_report.generate_products()
for prod in range(len(products)):
... | code_fim | hard | {
"lang": "python",
"repo": "wel51x/DS-Unit-3-Sprint-1-Software-Engineering",
"path": "/acme_test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: wel51x/DS-Unit-3-Sprint-1-Software-Engineering path: /acme_test.py
"""
Unit testing for Acme products and product reporting
"""
import unittest
from acme import Product
from acme import BoxingGlove
import acme_report
class AcmeProductTests(unittest.TestCase):
"""
Making sure Acme produc... | code_fim | hard | {
"lang": "python",
"repo": "wel51x/DS-Unit-3-Sprint-1-Software-Engineering",
"path": "/acme_test.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: gugarosa/opytimizer path: /examples/spaces/create_search_space.py
from opytimizer.spaces.search import SearchSpace
# Define the number of agents and decision variables
n_agents = 2
n_variables = 5
<|fim_suffix|># Creates the SearchSpace
s = SearchSpace(
n_agents=n_agents,
n_variables=n_... | code_fim | medium | {
"lang": "python",
"repo": "gugarosa/opytimizer",
"path": "/examples/spaces/create_search_space.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|># Creates the SearchSpace
s = SearchSpace(
n_agents=n_agents,
n_variables=n_variables,
lower_bound=lower_bound,
upper_bound=upper_bound,
)
# Prints out some properties
print(s.n_agents, s.n_variables)
print(s.agents, s.best_agent)
print(s.best_agent.position)<|fim_prefix|># repo: gugarosa... | code_fim | medium | {
"lang": "python",
"repo": "gugarosa/opytimizer",
"path": "/examples/spaces/create_search_space.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> filters = []
filters.extend(
_get_side_filters(
source_config,
lambda tu: tu.src_detok,
lambda tu: tu.src_tok.tokens[0],
self._verbose,
)
)
filters.extend(
_get_side_filters(... | code_fim | hard | {
"lang": "python",
"repo": "OpenNMT/nmt-wizard-docker",
"path": "/nmtwizard/preprocess/operators/length_filter.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: OpenNMT/nmt-wizard-docker path: /nmtwizard/preprocess/operators/length_filter.py
from nmtwizard.preprocess import prepoperator
@prepoperator.register_operator("length_filter")
class LengthFilter(prepoperator.Filter):
@classmethod
def _config_schema(cls):
schema = super(LengthFil... | code_fim | hard | {
"lang": "python",
"repo": "OpenNMT/nmt-wizard-docker",
"path": "/nmtwizard/preprocess/operators/length_filter.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> max_chars = config.get("max_characters")
if max_chars is not None:
message_max_chars = f"Longer than max chars ({max_chars})"
filters.append(lambda tu: (len(chars_fn(tu)) > max_chars, message_max_chars))
max_words = config.get("max_words")
if max_words is not None:
... | code_fim | hard | {
"lang": "python",
"repo": "OpenNMT/nmt-wizard-docker",
"path": "/nmtwizard/preprocess/operators/length_filter.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.speed = 0.0
self.angle = 0.0
self._singleUpdate(self.outPs)
super(MovementControl, self).stop()
def _listen_for_steering(self, inP, outPs):
while True:
try:
value = inP.recv()
self.angle = float(value)
... | code_fim | hard | {
"lang": "python",
"repo": "diaconuccalin/BFMC2020.Startup",
"path": "/movementControl.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Apply the initializing methods and start the threads
"""
super(MovementControl,self).run()
def stop(self):
self.speed = 0.0
self.angle = 0.0
self._singleUpdate(self.outPs)
super(MovementControl, self).stop()
def _listen_for_steering(self... | code_fim | hard | {
"lang": "python",
"repo": "diaconuccalin/BFMC2020.Startup",
"path": "/movementControl.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: diaconuccalin/BFMC2020.Startup path: /movementControl.py
from threading import Thread
from src.utils.templates.workerprocess import WorkerProcess
class MovementControl(WorkerProcess):
# ===================================== INIT =========================================
def __init__(sel... | code_fim | hard | {
"lang": "python",
"repo": "diaconuccalin/BFMC2020.Startup",
"path": "/movementControl.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> def get_logger(self, name):
"""
Get logger with the specified name.
:param name: name of the logger
:return: logger
"""
if not isinstance(name, six.string_types):
name = "{}.{}".format(name.__class__.__module__, name.__class__.__name__)
... | code_fim | hard | {
"lang": "python",
"repo": "sugarsack/sugar",
"path": "/sugar/lib/logger/manager.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> :param name: name of the logger
:return: logger
"""
if not isinstance(name, six.string_types):
name = "{}.{}".format(name.__class__.__module__, name.__class__.__name__)
return self.logger_store.setdefault(name, Logger(name=name,
... | code_fim | hard | {
"lang": "python",
"repo": "sugarsack/sugar",
"path": "/sugar/lib/logger/manager.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sugarsack/sugar path: /sugar/lib/logger/manager.py
# coding: utf-8
"""
Logger extensions for Twisted.
"""
import sys
import logging
from twisted.python import log, util
from twisted.python.logfile import LogFile
from sugar.utils.objects import Singleton
from sugar.lib import six
from sugar.lib.... | code_fim | hard | {
"lang": "python",
"repo": "sugarsack/sugar",
"path": "/sugar/lib/logger/manager.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|># setup pitch
pitch = Pitch(pitch_type='statsbomb', figsize=(16, 9), layout=(1, 3), line_zorder=2,
pitch_color='#22312b', line_color='white', orientation='vertical')
# draw
fig, ax = pitch.draw()
# heatmap specified by (nx, ny) for horizontal pitch
bins = [(6, 5), (1, 5), (6, 1)]
for i, bin ... | code_fim | medium | {
"lang": "python",
"repo": "DymondFormation/mplsoccer",
"path": "/examples/plots/plot_heatmap.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: DymondFormation/mplsoccer path: /examples/plots/plot_heatmap.py
"""
=======
Heatmap
=======
This example shows how to plot all pressure events from three matches as a heatmap.
"""
from mplsoccer.pitch import Pitch
from mplsoccer.statsbomb import read_event, EVENT_SLUG
import os
import pandas as... | code_fim | medium | {
"lang": "python",
"repo": "DymondFormation/mplsoccer",
"path": "/examples/plots/plot_heatmap.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: AtlantisFox/Green-Point-Challenge path: /leetcode/Trapping_rain_water.py
class Solution:
# @param {integer[]} height
# @return {integer}
def trap(self, height):
secHeight = 0
left = 0
right = len(height) - 1
area = 0
while (left < right):
... | code_fim | hard | {
"lang": "python",
"repo": "AtlantisFox/Green-Point-Challenge",
"path": "/leetcode/Trapping_rain_water.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> secHeight = max(height[right], secHeight)
area += secHeight - height[right]
right -= 1
return area<|fim_prefix|># repo: AtlantisFox/Green-Point-Challenge path: /leetcode/Trapping_rain_water.py
class Solution:
# @param {integer[]} height
# @return {inte... | code_fim | hard | {
"lang": "python",
"repo": "AtlantisFox/Green-Point-Challenge",
"path": "/leetcode/Trapping_rain_water.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: conversationai/wikidetox path: /experimental/extract_pov_edits/dataflow_main.py
018 Google Inc.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licen... | code_fim | hard | {
"lang": "python",
"repo": "conversationai/wikidetox",
"path": "/experimental/extract_pov_edits/dataflow_main.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class WriteDecompressedFile(beam.DoFn):
def __init__(self):
self.processed_revision_pairs = Metrics.counter(self.__class__, 'processed_revision_pairs')
self.errors = Metrics.counter(self.__class__, 'errors')
self.revision_skipped = Metrics.counter(self.__class__, 'revision_skipped')
... | code_fim | hard | {
"lang": "python",
"repo": "conversationai/wikidetox",
"path": "/experimental/extract_pov_edits/dataflow_main.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: conversationai/wikidetox path: /experimental/extract_pov_edits/dataflow_main.py
Dataflow Main
A dataflow pipeline to ingest the Wikipedia dump from 7zipped xml files to json.
To configure with boto:
Run gsutil config -e
Run with:
python dataflow_main.py --setup_file ./setup.py
Args:
in... | code_fim | hard | {
"lang": "python",
"repo": "conversationai/wikidetox",
"path": "/experimental/extract_pov_edits/dataflow_main.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Macatools/macapype path: /macapype/nodes/segment.py
import os
import nibabel as nb
import numpy as np
from nipype.interfaces.base import (CommandLine, CommandLineInputSpec,
TraitedSpec)
from nipype.interfaces.base import traits, File
from nipype.interfaces.... | code_fim | hard | {
"lang": "python",
"repo": "Macatools/macapype",
"path": "/macapype/nodes/segment.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> gen_5tt_data = np.stack((gm_data, empty_vol, wm_data, csf_data, empty_vol),
axis=-1)
gen_5tt_img = nib.Nifti1Image(gen_5tt_data, affine=gm_img.affine,
header=gm_img.header)
gen_5tt_file = os.path.abspath(fname + "_5tt" + ext)
... | code_fim | hard | {
"lang": "python",
"repo": "Macatools/macapype",
"path": "/macapype/nodes/segment.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: julstan/judaicalink-labs path: /labs/backend/migrations/0006_auto_20200123_2321.py
# Generated by Django 2.2.6 on 2020-01-23 22:21
from django.db import migrations, models
class Migration(migrations.Migration):
<|fim_suffix|> operations = [
migrations.AddField(
model_nam... | code_fim | medium | {
"lang": "python",
"repo": "julstan/judaicalink-labs",
"path": "/labs/backend/migrations/0006_auto_20200123_2321.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.AddField(
model_name='datafile',
name='indexed',
field=models.BooleanField(default=False),
),
migrations.AddField(
model_name='dataset',
name='indexed',
field=models.BooleanField(d... | code_fim | medium | {
"lang": "python",
"repo": "julstan/judaicalink-labs",
"path": "/labs/backend/migrations/0006_auto_20200123_2321.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> result = super().add_combo(name)
if self.nihilism:
return result
if self.condition("always connect hits"):
a_hits = self.hits // 15
if a_hits > 0 and a_hits != self.ahits:
self.ahits = a_hits
Selfbuff("a1_crit_dmg"... | code_fim | medium | {
"lang": "python",
"repo": "imxtrabored/dl",
"path": "/adv/laranoa.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: imxtrabored/dl path: /adv/laranoa.py
from core.advbase import *
class Laranoa(Adv):
comment = "no haste buff for teammates"
def prerun(self):
<|fim_suffix|> def add_combo(self, name="#"):
result = super().add_combo(name)
if self.nihilism:
return result
... | code_fim | medium | {
"lang": "python",
"repo": "imxtrabored/dl",
"path": "/adv/laranoa.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __init__(self, path_to_model):
# Load tokenizer and model
self.tokenizer = DistilBertTokenizerFast.from_pretrained('distilbert-base-uncased')
self.model = DistilBertForSequenceClassification.from_pretrained(path_to_model)
self.model.dropout.p = 0
self.model.... | code_fim | medium | {
"lang": "python",
"repo": "TinaABB/projectpensive",
"path": "/civility/classifier/runner.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
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