text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|> if env_id == 'Maze2D-v0':
envs.register(
id=env_id,
entry_point='env:maze2d.Maze2D',
kwargs={},
max_episode_steps=200,
reward_threshold=-110.0)
elif env_id == '3linkarm-v0':
envs.register(
id=env_id,
... | code_fim | medium | {
"lang": "python",
"repo": "zhaoyuchen100/DDPG_CCL",
"path": "/env_factory.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: zhaoyuchen100/DDPG_CCL path: /env_factory.py
# Copyright (c) Microsoft. All rights reserved.
# Licensed under the MIT license. See LICENSE.md file in the project root
# for full license information.
# ==============================================================================
from gym import... | code_fim | medium | {
"lang": "python",
"repo": "zhaoyuchen100/DDPG_CCL",
"path": "/env_factory.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>import threelinkarm
def register_env(env_id):
if env_id == 'Maze2D-v0':
envs.register(
id=env_id,
entry_point='env:maze2d.Maze2D',
kwargs={},
max_episode_steps=200,
reward_threshold=-110.0)
elif env_id == '3linkarm-v0':
... | code_fim | medium | {
"lang": "python",
"repo": "zhaoyuchen100/DDPG_CCL",
"path": "/env_factory.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.failUnlessResultIsBOOL(NSText.writeRTFDToFile_atomically_)
self.failUnlessArgIsBOOL(NSText.writeRTFDToFile_atomically_, 1)
self.failUnlessResultIsBOOL(NSText.readRTFDFromFile_)
self.failUnlessResultIsBOOL(NSText.isEditable)
self.failUnlessArgIsBOOL(NSText.setEd... | code_fim | hard | {
"lang": "python",
"repo": "orestis/pyobjc",
"path": "/pyobjc/pyobjc-framework-Cocoa/PyObjCTest/test_nstext.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: orestis/pyobjc path: /pyobjc/pyobjc-framework-Cocoa/PyObjCTest/test_nstext.py
from PyObjCTools.TestSupport import *
from AppKit import *
class TestNSTextHelper (NSObject):
def textShouldBeginEditing_(self, t): return 1
def textShouldEndEditing_(self, t): return 1
class TestNSText (Test... | code_fim | hard | {
"lang": "python",
"repo": "orestis/pyobjc",
"path": "/pyobjc/pyobjc-framework-Cocoa/PyObjCTest/test_nstext.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> new_rect = []
for i in range(0,len(rect1)):
new_rect.append(pygame.Rect(rect1[i].hitbox))
deltaT = self.get_rect(pygame,camera)
self.colided_y_up = 0
self.colided_y_down = 0
self.colided_x_down = 0
self.colided_x_up = 0
for h in range(0,len(new_rect)):
if new_rect[h].coll... | code_fim | hard | {
"lang": "python",
"repo": "AlexandreUser/Yuusha-no-isekai-OPEN",
"path": "/game_scripts/character.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: AlexandreUser/Yuusha-no-isekai-OPEN path: /game_scripts/character.py
from game_scripts.Better_logic import return_2x,render_font,return_sc
class character:
def __init__(self,name,pygame):
self.name = name
self.width = 40
self.height = 20
self.speed = 10
self.x = 0
self.y = 0
sel... | code_fim | hard | {
"lang": "python",
"repo": "AlexandreUser/Yuusha-no-isekai-OPEN",
"path": "/game_scripts/character.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> surface = pygame.Surface((50, 50), pygame.SRCALPHA, 32)
pygame.draw.ellipse(
surface,
(0, 0, 0, 50),
[0,0,50,20])
win.blit(surface, ((self.x+self.width*1.1)-camera.x, (self.y+self.height*5.5)-camera.y))
#pygame.draw.ellipse(win, shadown, [self.x+self.width*1.1, self.y+self.heig... | code_fim | hard | {
"lang": "python",
"repo": "AlexandreUser/Yuusha-no-isekai-OPEN",
"path": "/game_scripts/character.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: umutozge/prog-book path: /code/corresp.py
list1 = eval(input('Give me a list: '))
list2 = eval(input('Give me another list: '))
<|fim_suffix|>for i in range(shorter):
if list1[i] == list2[i]:
corresps = corresps + 1
print('The number of corresponding elements is ' + str(corresps))<|fim_midd... | code_fim | medium | {
"lang": "python",
"repo": "umutozge/prog-book",
"path": "/code/corresp.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>corresps = 0 #number of correspondences
for i in range(shorter):
if list1[i] == list2[i]:
corresps = corresps + 1
print('The number of corresponding elements is ' + str(corresps))<|fim_prefix|># repo: umutozge/prog-book path: /code/corresp.py
list1 = eval(input('Give me a list: '))
list2 = eval(inpu... | code_fim | medium | {
"lang": "python",
"repo": "umutozge/prog-book",
"path": "/code/corresp.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>for i in range(shorter):
if list1[i] == list2[i]:
corresps = corresps + 1
print('The number of corresponding elements is ' + str(corresps))<|fim_prefix|># repo: umutozge/prog-book path: /code/corresp.py
list1 = eval(input('Give me a list: '))
list2 = eval(input('Give me another list: '))
<|fim_midd... | code_fim | medium | {
"lang": "python",
"repo": "umutozge/prog-book",
"path": "/code/corresp.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Stagno/dusk path: /tests/examples/test_examples.py
from dusk.transpile import callable_to_pyast, pyast_to_sir, validate
<|fim_suffix|>
def test_examples():
validate(pyast_to_sir(callable_to_pyast(laplacian_fd)))
validate(pyast_to_sir(callable_to_pyast(laplacian_fvm)))<|fim_middle|>from l... | code_fim | medium | {
"lang": "python",
"repo": "Stagno/dusk",
"path": "/tests/examples/test_examples.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def test_examples():
validate(pyast_to_sir(callable_to_pyast(laplacian_fd)))
validate(pyast_to_sir(callable_to_pyast(laplacian_fvm)))<|fim_prefix|># repo: Stagno/dusk path: /tests/examples/test_examples.py
from dusk.transpile import callable_to_pyast, pyast_to_sir, validate
<|fim_middle|>from l... | code_fim | medium | {
"lang": "python",
"repo": "Stagno/dusk",
"path": "/tests/examples/test_examples.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> help = 'Rewrites the htpasswd file'
def handle(self, *args, **options):
written_users = rewrite_htpasswd()
verbosity = options['verbosity']
if verbosity >= 2:
self.stdout.write('Wrote the following users:')
for u in written_users:
se... | code_fim | medium | {
"lang": "python",
"repo": "ginabythebay/iddocs",
"path": "/apache_auth/management/commands/rewrite_htpasswd.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> written_users = rewrite_htpasswd()
verbosity = options['verbosity']
if verbosity >= 2:
self.stdout.write('Wrote the following users:')
for u in written_users:
self.stdout.write(' %s' % u)
if verbosity >= 1:
self.stdout.w... | code_fim | medium | {
"lang": "python",
"repo": "ginabythebay/iddocs",
"path": "/apache_auth/management/commands/rewrite_htpasswd.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ginabythebay/iddocs path: /apache_auth/management/commands/rewrite_htpasswd.py
from django.core.management.base import BaseCommand, CommandError
from apache_auth.middleware import rewrite_htpasswd
<|fim_suffix|> written_users = rewrite_htpasswd()
verbosity = options['verbosity']
... | code_fim | medium | {
"lang": "python",
"repo": "ginabythebay/iddocs",
"path": "/apache_auth/management/commands/rewrite_htpasswd.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bloomberg/bde path: /tools/lcov_cobertura/lcov_cobertura.py
the Apache License, Version 2.0,
# available in the accompanying LICENSE.txt file.
"""
Converts lcov line coverage output to Cobertura-compatible XML for CI
"""
import re, sys, os, time, subprocess
from xml.dom import minidom
from optp... | code_fim | hard | {
"lang": "python",
"repo": "bloomberg/bde",
"path": "/tools/lcov_cobertura/lcov_cobertura.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> :param document: Document element
:type document: Document
:param name: Element name
:type name: string
:param attrs: Attributes for element
:type attrs: dict
"""
return self._attrs(document.createElement(name), attrs)
def _attrs(self, e... | code_fim | hard | {
"lang": "python",
"repo": "bloomberg/bde",
"path": "/tools/lcov_cobertura/lcov_cobertura.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Given parsed coverage data, return a String cobertura XML representation.
:param coverage_data: Nested dict representing coverage information.
:type coverage_data: dict
"""
dom_impl = minidom.getDOMImplementation()
doctype = dom_impl.createDocu... | code_fim | hard | {
"lang": "python",
"repo": "bloomberg/bde",
"path": "/tools/lcov_cobertura/lcov_cobertura.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: navneet35371/drf-saas-starter path: /apps/api/tests/test_urls.py
from django.test import TestCase
from django.urls import resolve, reverse
class TestAPIURLs(TestCase):
def test_api_rest_password_reset_reverse(self):
assert reverse('rest_password_reset') == '/api/password/reset/'
... | code_fim | medium | {
"lang": "python",
"repo": "navneet35371/drf-saas-starter",
"path": "/apps/api/tests/test_urls.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_api_rest_user_details_reverse(self):
assert reverse('rest_user_details') == '/api/current-user/'
def test_api_rest_user_details_resolve(self):
assert resolve('/api/current-user/').view_name == 'rest_user_details'
def test_api_docs_reverse(self):
assert revers... | code_fim | hard | {
"lang": "python",
"repo": "navneet35371/drf-saas-starter",
"path": "/apps/api/tests/test_urls.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kk6/snake-pit path: /tests/test_config.py
# -*- coding: utf-8 -*-
import pytest
@pytest.mark.parametrize("filename,expected", [
('default', {'default': 'base-requirements.in'}),
('dev', {'default': 'requirements.in', 'dev': 'dev-requirements.in'})
])
def test_get_config(filename, expect... | code_fim | medium | {
"lang": "python",
"repo": "kk6/snake-pit",
"path": "/tests/test_config.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def test_error_if_invalid_config():
from snakepit.config import get_config
from snakepit.exceptions import InvalidConfiguration
with pytest.raises(InvalidConfiguration):
get_config('tests/fixtures/yaml/invalid.yml')<|fim_prefix|># repo: kk6/snake-pit path: /tests/test_config.py
# -*-... | code_fim | hard | {
"lang": "python",
"repo": "kk6/snake-pit",
"path": "/tests/test_config.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def test_error_if_invalid_config():
from snakepit.config import get_config
from snakepit.exceptions import InvalidConfiguration
with pytest.raises(InvalidConfiguration):
get_config('tests/fixtures/yaml/invalid.yml')<|fim_prefix|># repo: kk6/snake-pit path: /tests/test_config.py
# -*... | code_fim | hard | {
"lang": "python",
"repo": "kk6/snake-pit",
"path": "/tests/test_config.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return [s, lng]
def rd_long_TLM(file_name):
file = open(file_name, 'r')
s = []; lng = []
first = True
for line in file:
fields = line.strip().split()
s = numpy.append(s, float(fields[0]))
term = numpy.array([[fields[2], fields[1]]], dtype=float)
if fi... | code_fim | hard | {
"lang": "python",
"repo": "frib-high-level-controls/FLAME",
"path": "/tools/jb_plot.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: frib-high-level-controls/FLAME path: /tools/jb_plot.py
from __future__ import print_function
import sys
import numpy
from matplotlib.pylab import *
def plt_ref_orbit(s, lng):
subplot(1, 2, 1)
plot(s, lng[:, 0], '-b')
xlabel('s [m]'); ylabel('phase [rad]')
subplot(1, 2, 2)
... | code_fim | hard | {
"lang": "python",
"repo": "frib-high-level-controls/FLAME",
"path": "/tools/jb_plot.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> fig = figure(fig_no)
subplots_adjust(hspace=0.6) # default is 0.2.
subplots_adjust(wspace=0.4) # default is 0.2.
suptitle(title)
plt_ref_orbit(s, lng)
return fig
def plt0(fig_no, title, s, moment0):
fig = figure(fig_no)
subplots_adjust(hspace=0.6) # default is 0.2.
su... | code_fim | hard | {
"lang": "python",
"repo": "frib-high-level-controls/FLAME",
"path": "/tools/jb_plot.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jakhax/pitches path: /pitches/celery_tasks.py
from flask import current_app
from flask_mail import Message
from .app import mail, celery
<|fim_suffix|> full_subject = ' '.join((current_app.config['APP_MAIL_SUBJECT_PREFIX'], subject))
msg = Message(full_subject, sender=current_app.config... | code_fim | medium | {
"lang": "python",
"repo": "jakhax/pitches",
"path": "/pitches/celery_tasks.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>@celery.task()
def send_email(recipients, subject, body, html):
full_subject = ' '.join((current_app.config['APP_MAIL_SUBJECT_PREFIX'], subject))
msg = Message(full_subject, sender=current_app.config['APP_MAIL_SENDER'], recipients=recipients)
msg.body = body
msg.html = html
mail.send(m... | code_fim | easy | {
"lang": "python",
"repo": "jakhax/pitches",
"path": "/pitches/celery_tasks.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>'''
class No:
def __init__(self, x):
self.val = x
self.next = None
def delete_node(no_atual, value):
while no_atual.next != None:
if no_atual.val == value:
no_anterior.next = no_atual.next
# delete(no_atual)
return None
... | code_fim | hard | {
"lang": "python",
"repo": "codingdojobra/two_numbers_linked_lists",
"path": "/two_numbers_linked_lists.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: codingdojobra/two_numbers_linked_lists path: /two_numbers_linked_lists.py
# https://leetcode.com/problems/add-two-numbers/
class ListNode:
def __init__(self, val = 0, next = None):
self.val = val
self.next = next
def __eq__(self, other):
if other != None:... | code_fim | hard | {
"lang": "python",
"repo": "codingdojobra/two_numbers_linked_lists",
"path": "/two_numbers_linked_lists.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> m, n = len(grid), len(grid[0])
dp = [[(0, 0, 0, 0)] * (n+1) for _ in range(m+1)] # [prefix-row-sum, prefix-col-sum, prefix-major-diagonal, prefix-minor-diagonal]
for i in range(1, m+1): # O(m*n) on prefix calculation
for j in range(1, n+1):
... | code_fim | hard | {
"lang": "python",
"repo": "erjan/coding_exercises",
"path": "/largest_magic_square.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: erjan/coding_exercises path: /largest_magic_square.py
'''
A k x k magic square is a k x k grid filled with integers such that every row sum, every column sum, and both diagonal sums are all equal. The integers in the magic square do not have to be distinct. Every 1 x 1 grid is trivially a magic s... | code_fim | hard | {
"lang": "python",
"repo": "erjan/coding_exercises",
"path": "/largest_magic_square.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sarvex/zamboni path: /mkt/api/patch.py
from django.core.urlresolvers import reverse
from django.utils.functional import lazy
from rest_framework import relations, reverse as rest_reverse
def _reverse(viewname, args=None, kwargs=None, request=None, format=None,
**extra):
"""
... | code_fim | medium | {
"lang": "python",
"repo": "sarvex/zamboni",
"path": "/mkt/api/patch.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>_reverse.patched = 'patched'
# Monkeypatch this in.
def patch():
relations.reverse = _reverse
rest_reverse.reverse = _reverse
rest_reverse.reverse_lazy = lazy(_reverse, str)<|fim_prefix|># repo: sarvex/zamboni path: /mkt/api/patch.py
from django.core.urlresolvers import reverse
from django.... | code_fim | hard | {
"lang": "python",
"repo": "sarvex/zamboni",
"path": "/mkt/api/patch.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: SilvestrePerret/adventofcode-2020 path: /day-08/part-2/coco.py
from tool.runners.python import SubmissionPy
from collections import defaultdict
class CocoSubmission(SubmissionPy):
def run(self, s):
"""
:param s: input in string format
:return: solution flag
""... | code_fim | hard | {
"lang": "python",
"repo": "SilvestrePerret/adventofcode-2020",
"path": "/day-08/part-2/coco.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Now, go along path, but if we can change one instruction
# to reach the end, do it
acc = 0
pointer = 0
already_changed = False
while True:
if pointer >= len(instructions):
break
instr, value = instructions[pointer]
... | code_fim | hard | {
"lang": "python",
"repo": "SilvestrePerret/adventofcode-2020",
"path": "/day-08/part-2/coco.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: karngyan/Data-Structures-Algorithms path: /String_or_Array/Sorting/Merge_Sort.py
# Program to perform merge sort on an array
def merge(arr, low, mid, high):
n1 = mid - low + 1
n2 = high - mid
# create temporary arrays
"""
arr = [0] * n is equivalent to:
arr = [0, 0, 0, ... | code_fim | hard | {
"lang": "python",
"repo": "karngyan/Data-Structures-Algorithms",
"path": "/String_or_Array/Sorting/Merge_Sort.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
arr = [5, 21, 7, 3, 4, 8, 9, 10, 100, 15]
print('Before merge sort:', arr)
# Call merge sort on arr
merge_sort(arr, 0, len(arr)-1)
print('After merge sort:', arr)<|fim_prefix|># repo: karngyan/Data-Structures-Algorithms path: /String_or_Array/Sorting/Merge_Sort.py
# Program to perform merge sort on a... | code_fim | medium | {
"lang": "python",
"repo": "karngyan/Data-Structures-Algorithms",
"path": "/String_or_Array/Sorting/Merge_Sort.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # if elements left in arr2 copy them to arr
while j < n2:
arr[k] = arr2[j]
j += 1
k += 1
def merge_sort(arr, low, high):
if low < high:
# mid = int((low + high) / 2)
mid = int(low + ((high - low) / 2))
# call merge_sort on 2 halves
mer... | code_fim | medium | {
"lang": "python",
"repo": "karngyan/Data-Structures-Algorithms",
"path": "/String_or_Array/Sorting/Merge_Sort.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dagster-io/dagster path: /examples/docs_snippets/docs_snippets/concepts/ops_jobs_graphs/multiple_io_job.py
# start_marker
from dagster import job, op
<|fim_suffix|>
@op
def add_one(context, number: int):
return number + 1
@op
def adder(context, a: int, b: int) -> int:
return a + b
@j... | code_fim | easy | {
"lang": "python",
"repo": "dagster-io/dagster",
"path": "/examples/docs_snippets/docs_snippets/concepts/ops_jobs_graphs/multiple_io_job.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
@job
def inputs_and_outputs():
value = return_one()
a = add_one(value)
b = add_one(value)
adder(a, b)
# end_marker<|fim_prefix|># repo: dagster-io/dagster path: /examples/docs_snippets/docs_snippets/concepts/ops_jobs_graphs/multiple_io_job.py
# start_marker
from dagster import job, op
... | code_fim | medium | {
"lang": "python",
"repo": "dagster-io/dagster",
"path": "/examples/docs_snippets/docs_snippets/concepts/ops_jobs_graphs/multiple_io_job.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>@op
def adder(context, a: int, b: int) -> int:
return a + b
@job
def inputs_and_outputs():
value = return_one()
a = add_one(value)
b = add_one(value)
adder(a, b)
# end_marker<|fim_prefix|># repo: dagster-io/dagster path: /examples/docs_snippets/docs_snippets/concepts/ops_jobs_grap... | code_fim | medium | {
"lang": "python",
"repo": "dagster-io/dagster",
"path": "/examples/docs_snippets/docs_snippets/concepts/ops_jobs_graphs/multiple_io_job.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: channel960608/Weibo_Crawler path: /weibo_crawler/weibo_crawler/items.py
# -*- coding: utf-8 -*-
# Define here the models for your scraped items
#
# See documentation in:
# http://doc.scrapy.org/en/latest/topics/items.html
import scrapy
class SearchByKeywordItem(scrapy.Item):
# define the ... | code_fim | hard | {
"lang": "python",
"repo": "channel960608/Weibo_Crawler",
"path": "/weibo_crawler/weibo_crawler/items.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> ID = scrapy.Field()
nickname = scrapy.Field() # 昵称
gender = scrapy.Field() # 性别
age = scrapy.Field() # 年龄
tags = scrapy.Field() # 标签
brief_intro = scrapy.Field() # 简介
verify = scrapy.Field() # 微博认证
location = scrapy.Field() # 所在地
level = scrapy.Field() # 等级
... | code_fim | hard | {
"lang": "python",
"repo": "channel960608/Weibo_Crawler",
"path": "/weibo_crawler/weibo_crawler/items.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> __msg_typ__ = "nav_msgs/OccupancyGrid"
__msg_def__ = "c3RkX21zZ3MvSGVhZGVyIGhlYWRlcgogIHVpbnQzMiBzZXEKICB0aW1lIHN0YW1wCiAgc3RyaW5nIGZyYW1lX2lkCm5hdl9tc2dzL01hcE1ldGFEYXRhIGluZm8KICB0aW1lIG1hcF9sb2FkX3RpbWUKICBmbG9hdDMyIHJlc29sdXRpb24KICB1aW50MzIgd2lkdGgKICB1aW50MzIgaGVpZ2h0CiAgZ2VvbWV0cnlfbXNncy9Qb3Nl... | code_fim | medium | {
"lang": "python",
"repo": "rho2/alpyro_msgs",
"path": "/alpyro_msgs/nav_msgs/occupancygrid.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rho2/alpyro_msgs path: /alpyro_msgs/nav_msgs/occupancygrid.py
from typing import List
from typing_extensions import Annotated
from alpyro_msgs import RosMessage, int8
from alpyro_msgs.nav_msgs.mapmetadata import MapMetaData
from alpyro_msgs.std_msgs.header import Header
<|fim_suffix|> __msg_typ... | code_fim | medium | {
"lang": "python",
"repo": "rho2/alpyro_msgs",
"path": "/alpyro_msgs/nav_msgs/occupancygrid.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: aws/chalice path: /chalice/cli/filewatch/__init__.py
import threading
from typing import Callable, Optional, Type # noqa
from chalice.local import HTTPServerThread # noqa
RESTART_REQUEST_RC = 3
<|fim_suffix|> When a changed file is detected, the provided callback
is immediate... | code_fim | hard | {
"lang": "python",
"repo": "aws/chalice",
"path": "/chalice/cli/filewatch/__init__.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def watch_for_file_changes(self, root_dir, callback):
# type: (str, Callable[[], None]) -> None
"""Recursively watch directory for changes.
When a changed file is detected, the provided callback
is immediately invoked and the current scan stops.
"""
ra... | code_fim | medium | {
"lang": "python",
"repo": "aws/chalice",
"path": "/chalice/cli/filewatch/__init__.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def main(self, project_dir, timeout=None):
# type: (str, Optional[int]) -> int
self._http_thread.start()
self._start_file_watcher(project_dir)
if self._restart_event.wait(timeout):
self._http_thread.shutdown()
return RESTART_REQUEST_RC
re... | code_fim | medium | {
"lang": "python",
"repo": "aws/chalice",
"path": "/chalice/cli/filewatch/__init__.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: neuralhydrology/neuralhydrology path: /neuralhydrology/modelzoo/multihead_forecast_lstm.py
from typing import Dict
import torch
import torch.nn as nn
from neuralhydrology.modelzoo.inputlayer import InputLayer
from neuralhydrology.modelzoo.head import get_head
from neuralhydrology.modelzoo.base... | code_fim | hard | {
"lang": "python",
"repo": "neuralhydrology/neuralhydrology",
"path": "/neuralhydrology/modelzoo/multihead_forecast_lstm.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Special initialization of certain model weights."""
if self.cfg.initial_forget_bias is not None:
self.hindcast_lstm.bias_hh_l0.data[self.cfg.hidden_size:2 * self.cfg.hidden_size] = self.cfg.initial_forget_bias
def forward(self, data: Dict[str, torch.Tensor]) -> Dict[str... | code_fim | hard | {
"lang": "python",
"repo": "neuralhydrology/neuralhydrology",
"path": "/neuralhydrology/modelzoo/multihead_forecast_lstm.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> if not cfg.forecast_network:
raise ValueError('The multihead forecast model requires a forecast network specified in the config file.')
input_size = self.forecast_embedding_net.output_size*cfg.forecast_seq_length + cfg.hidden_size
forecast_network_output_size = cfg.for... | code_fim | hard | {
"lang": "python",
"repo": "neuralhydrology/neuralhydrology",
"path": "/neuralhydrology/modelzoo/multihead_forecast_lstm.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>key to success? "))
if Q5=="A":
H=H+1
elif Q5=="B":
R=R+1
elif Q5=="C":
G=G+1
elif Q5=="D":
S=S+1
print("A Luna Lovegood, B Draco Malfory, C Harry Potter, D Newton Scamander ")
Q6=input(str("Which of the characters above you admire the most? "))
if Q6=="A":
R=R+1
elif Q6=="B":
S=S+... | code_fim | hard | {
"lang": "python",
"repo": "athenian-ct-projects/23cqiao-ff-project",
"path": "/focus_day_project.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> house
print("A snake, B lion, C badger, D eagle ")
Q2=input(str("Which of the animals below is your favorite? "))
if Q2=="A":
S=S+1
elif Q2=="B":
G=G+1
elif Q2=="C":
H=H+1
elif Q2=="D":
R=R+1
print("A fire, B air, C water, D earth")
Q3=input(str("Which element relates with you the most? "... | code_fim | hard | {
"lang": "python",
"repo": "athenian-ct-projects/23cqiao-ff-project",
"path": "/focus_day_project.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: athenian-ct-projects/23cqiao-ff-project path: /focus_day_project.py
# Welcome to your Focus Day Project. Replace this comment with something that introduces the user to your project. Be sure to mention the Focus Day and your initials and graduation year. (ie This game is for Pool Volume Day and i... | code_fim | hard | {
"lang": "python",
"repo": "athenian-ct-projects/23cqiao-ff-project",
"path": "/focus_day_project.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>class Solution:
def crawl(self, startUrl: str, htmlParser: 'HtmlParser') -> List[str]:
hostname = lambda url: url.split('/')[2]
seen = {startUrl}
with futures.ThreadPoolExecutor(max_workers=16) as executor:
tasks = deque([executor.submit(htmlParser.getUrls, sta... | code_fim | hard | {
"lang": "python",
"repo": "erjan/coding_exercises",
"path": "/web_crawler_multithreaded.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: erjan/coding_exercises path: /web_crawler_multithreaded.py
'''
Given a URL startUrl and an interface HtmlParser, implement a Multi-threaded web crawler to crawl all links that are under the same hostname as startUrl.
<|fim_suffix|> hostname = lambda url: url.split('/')[2]
seen = ... | code_fim | hard | {
"lang": "python",
"repo": "erjan/coding_exercises",
"path": "/web_crawler_multithreaded.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: matllubos/django-is-core path: /example/dj/apps/issue_tracker/dynamo/models.py
from django.conf import settings
from pydjamodb.models import DynamoModel
from pynamodb.attributes import (
MapAttribute, NumberAttribute, UnicodeAttribute, UTCDateTimeAttribute, BooleanAttribute, NumberAttribute
)... | code_fim | easy | {
"lang": "python",
"repo": "matllubos/django-is-core",
"path": "/example/dj/apps/issue_tracker/dynamo/models.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> issue_id = UnicodeAttribute(hash_key=True)
user_id = UnicodeAttribute(range_key=True)
content = UnicodeAttribute()
is_public = BooleanAttribute()
priority = NumberAttribute()
class Meta:
table_name = 'comment'<|fim_prefix|># repo: matllubos/django-is-core path: /example/d... | code_fim | easy | {
"lang": "python",
"repo": "matllubos/django-is-core",
"path": "/example/dj/apps/issue_tracker/dynamo/models.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: OpenChemistry/edp path: /server/tests/test_cycle.py
import pytest
import datetime
import json
from pytest_girder.assertions import assertStatus, assertStatusOk
@pytest.mark.plugin('edp')
def test_create_public(server, user, cycle_request, project):
from girder.plugins.edp.models.cycle impor... | code_fim | hard | {
"lang": "python",
"repo": "OpenChemistry/edp",
"path": "/server/tests/test_cycle.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>@pytest.mark.plugin('edp')
def test_update_non_existent(server, user, project, cycle):
from girder.plugins.edp.models.cycle import Cycle
updates = {
'title': 'Nothing to see here.',
}
non_existent = '5ae71e1ff657102b11ce2233'
r = server.request('/edp/projects/%s/cycles/%s' % ... | code_fim | hard | {
"lang": "python",
"repo": "OpenChemistry/edp",
"path": "/server/tests/test_cycle.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|># 3. Calculate cost-weighted flowlength. Cell values represent the infiltrated-
# weighted distance along the flow path to a stream. Two paths may be the same
# length, but if one goes through cells with high curve numbers (low weights)
# it's path will be effectively shorter whereas a path going throu... | code_fim | hard | {
"lang": "python",
"repo": "Phifie/GeoHAT",
"path": "/GeoHat_V10/Scripts/Water/WeightedFlow.py",
"mode": "spm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Phifie/GeoHAT path: /GeoHat_V10/Scripts/Water/WeightedFlow.py
#WeightedFlow.py
#
# Description: Calculates Curve Number weighted flow distance from streams. Each
# cell in the output raster is assigne a value reflecting the decay-distance along
# the flow path to the stream. As the flow path in... | code_fim | hard | {
"lang": "python",
"repo": "Phifie/GeoHAT",
"path": "/GeoHat_V10/Scripts/Water/WeightedFlow.py",
"mode": "psm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_suffix|># 2. Create a flow direction where streams are NoData. This enables calculation
# of flow length to the stream vs to the stream outlet.
msg("Creating modified flow direction to calculate distance to streams")
fdRaster = sa.Con(sa.IsNull(streamsRaster),flowdirRaster)
# 3. Calculate cost-weighted flowleng... | code_fim | hard | {
"lang": "python",
"repo": "Phifie/GeoHAT",
"path": "/GeoHat_V10/Scripts/Water/WeightedFlow.py",
"mode": "spm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: flashlin/Samples path: /tf_predict_next_word/temp/bert_model.py
import tensorflow as tf
from transformers import TFBertForMaskedLM, BertTokenizer
from transformers import TFBertModel, BertTokenizer
# model_name = 'bert-base-uncased'
# tokenizer = BertTokenizer.from_pretrained(model_name)
# BERT ... | code_fim | hard | {
"lang": "python",
"repo": "flashlin/Samples",
"path": "/tf_predict_next_word/temp/bert_model.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def fine_tune():
tokenizer = BertTokenizer.from_pretrained('bert-base-uncased')
model = TFBertForMaskedLM.from_pretrained('bert-base-uncased')
# Load your training data and convert it to input IDs
train_data = [
"123",
"12323"
]
train_ids = tokenizer(train_data, p... | code_fim | hard | {
"lang": "python",
"repo": "flashlin/Samples",
"path": "/tf_predict_next_word/temp/bert_model.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: axellbrendow/image-processing-work path: /SetNumberOfShadesOfGray.py
import tkinter as tk
from typing import List
class SetNumberOfShadesOfGray:
<|fim_suffix|> self.parent = parent
self.root = tk.Toplevel(self.parent)
self.root.title("Set number of shades of gray")
... | code_fim | easy | {
"lang": "python",
"repo": "axellbrendow/image-processing-work",
"path": "/SetNumberOfShadesOfGray.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.numberOfShades = tk.StringVar(value='32')
self.numberOfShadesEntry = tk.Entry(self.root, textvariable=self.numberOfShades)
self.numberOfShadesEntry.pack()<|fim_prefix|># repo: axellbrendow/image-processing-work path: /SetNumberOfShadesOfGray.py
import tkinter as tk
from typi... | code_fim | medium | {
"lang": "python",
"repo": "axellbrendow/image-processing-work",
"path": "/SetNumberOfShadesOfGray.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: abdellatifLabr/MyStore path: /shopping/migrations/0009_auto_20200804_1253.py
# Generated by Django 3.0.9 on 2020-08-04 11:53
from django.db import migrations, models
import django.db.models.deletion
import imagekit.models.fields
import shopping.utils
class Migration(migrations.Migration):
<|fi... | code_fim | hard | {
"lang": "python",
"repo": "abdellatifLabr/MyStore",
"path": "/shopping/migrations/0009_auto_20200804_1253.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.CreateModel(
name='ProductPicture',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('original', imagekit.models.fields.ProcessedImageField(upload_to=sh... | code_fim | hard | {
"lang": "python",
"repo": "abdellatifLabr/MyStore",
"path": "/shopping/migrations/0009_auto_20200804_1253.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mpld3/mpld3 path: /mpld3/tests/export.py
import uuid
import subprocess
import mpld3
import multiprocessing
import os
import diffimg
import visualize_tests
from functools import partial
HTML_TEMPLATE = """
<html>
<head>
<style type="text/css">
.fig {{
height: 500px;
}}
{extra_css}
</style>
</... | code_fim | hard | {
"lang": "python",
"repo": "mpld3/mpld3",
"path": "/mpld3/tests/export.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>def snapshot_multiple_mpld3_plots(plot_filenames, output_folder):
assert output_folder, "output_folder is required"
if not os.path.exists(output_folder):
os.makedirs(output_folder)
pool = multiprocessing.Pool(multiprocessing.cpu_count())
return pool.map(partial(snapshot_mpld3_plot... | code_fim | hard | {
"lang": "python",
"repo": "mpld3/mpld3",
"path": "/mpld3/tests/export.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> if isinstance(result, str):
result = gzip.compress(result.encode("utf-8"))
return Response(result, content_type="application/octet-stream")
if __name__ == "__main__":
app.run(
host=env("HOST", "localhost"),
port=env.int("PORT", 8099),
debug=env.bool("DEBUG", ... | code_fim | hard | {
"lang": "python",
"repo": "rettier/c",
"path": "/server/src/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def process_custom_command(key):
command, *args = [x.strip() for x in key.split("/")]
print(command, args)
if command not in commands:
return False
result = commands[command](*args)
return result
@app.route("/", methods=["GET"])
@requires_auth
def get():
key = get_key()
... | code_fim | hard | {
"lang": "python",
"repo": "rettier/c",
"path": "/server/src/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rettier/c path: /server/src/main.py
import gzip
from environs import Env
from flask import Flask, request, Response
from utils import requires_auth, get_storage_backend, get_key, sizeof_fmt
env = Env()
app = Flask(__name__)
empty_gzip = b"\x1f\x8b\x08\x00\x50\xac\xc3\x5b\x00\x03\x03\x00\x00\x00... | code_fim | medium | {
"lang": "python",
"repo": "rettier/c",
"path": "/server/src/main.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> assert wait_agent_condition(client, match_tail, [-1, 2] * 4)
# Unsubscribe from one topic
client.unsubscribe('sub', 'negate')
assert wait_agent_condition(client, match_tail, [2] * 8)
# Subscribe again
client.subscribe('sub', handler={'negate': receive_negate})
assert wait_a... | code_fim | hard | {
"lang": "python",
"repo": "Peque/osbrain",
"path": "/osbrain/tests/test_agent_sync_publications.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Peque/osbrain path: /osbrain/tests/test_agent_sync_publications.py
ceived
class BaseServer(Agent):
def publish(self):
self.count += 1
self.send('publish', self.count)
def publish_str(self):
self.count += 1
self.send('publish', str(self.count), topic='pos... | code_fim | hard | {
"lang": "python",
"repo": "Peque/osbrain",
"path": "/osbrain/tests/test_agent_sync_publications.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Peque/osbrain path: /osbrain/tests/test_agent_sync_publications.py
m osbrain.helper import wait_agent_condition
from .common import append_received
class BaseServer(Agent):
def publish(self):
self.count += 1
self.send('publish', self.count)
def publish_str(self):
... | code_fim | hard | {
"lang": "python",
"repo": "Peque/osbrain",
"path": "/osbrain/tests/test_agent_sync_publications.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: JFASOF/AI-Astar-Algorithm-15puzzle path: /sekiller.py
def manhattan_mesafesi(durumilk, durumson):# manhattan mesafesinin hesaplanması
durumilk = eval(durumilk)#parametre olarak gönderilen durumilk
durumson = eval(durumson)#parametre olarak gönderilen durumson
durumson_liste = []
s... | code_fim | hard | {
"lang": "python",
"repo": "JFASOF/AI-Astar-Algorithm-15puzzle",
"path": "/sekiller.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if i > 0:
# Yukarı hareket
# i = i - 1 bu işlemden itibaren yukarı hareket
matrix[i][j], matrix[i - 1][j] = matrix[i - 1][j], matrix[i][j]
secim_listesi.append(str(matrix))
matrix[i][j], matrix[i - 1][j] = matrix[i - 1][j], matrix[i][j]
if i < 3:
# ... | code_fim | hard | {
"lang": "python",
"repo": "JFASOF/AI-Astar-Algorithm-15puzzle",
"path": "/sekiller.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>, enum_type):
raise ValueError(value)
return value.value<|fim_prefix|># repo: matthewwardrop/python-grpc-wrappers path: /grpc_wrappers/utils.py
def cast_enum_type_to_int(enum_type, value):
if isinstance(value, str):
value = enum_type[value]
elif isinstance(value,<|fim_middle|>... | code_fim | medium | {
"lang": "python",
"repo": "matthewwardrop/python-grpc-wrappers",
"path": "/grpc_wrappers/utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: matthewwardrop/python-grpc-wrappers path: /grpc_wrappers/utils.py
def cast_enum_type_to_int(enum_type, value):
if isinstance(valu<|fim_suffix|>, enum_type):
raise ValueError(value)
return value.value<|fim_middle|>e, str):
value = enum_type[value]
elif isinstance(value,... | code_fim | medium | {
"lang": "python",
"repo": "matthewwardrop/python-grpc-wrappers",
"path": "/grpc_wrappers/utils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> ret2 = forecast('test_US', '', 10, 0, 1, 1)
self.assertIsNotNone(ret2)
ret3 = forecast('test_US', 'Nowhere, US', 10, 0, 1, 1)
self.assertIsNone(ret3)
def test_forecast_global(self, read_csv_mock: Mock):
read_csv_mock.return_value = pd.DataFrame(
co... | code_fim | hard | {
"lang": "python",
"repo": "ozguramac/penr-oz-covid19-forecaster",
"path": "/src/app_test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ozguramac/penr-oz-covid19-forecaster path: /src/app_test.py
import logging
import unittest
import sys
import pandas as pd
from unittest.mock import patch, Mock
from app import app, forecast
app.logger = logging.getLogger()
app.logger.level = logging.DEBUG
app.logger.addHandler(logging.StreamH... | code_fim | hard | {
"lang": "python",
"repo": "ozguramac/penr-oz-covid19-forecaster",
"path": "/src/app_test.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> ret3 = forecast('test_US', 'Nowhere, US', 10, 0, 1, 1)
self.assertIsNone(ret3)
def test_forecast_global(self, read_csv_mock: Mock):
read_csv_mock.return_value = pd.DataFrame(
columns=["Province_State", "Country_Region", "C", "D", "E", "F", "G", "H", "I", "J", "K", ... | code_fim | hard | {
"lang": "python",
"repo": "ozguramac/penr-oz-covid19-forecaster",
"path": "/src/app_test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mindspore-ai/akg path: /python/akg/ops/state/ascend/assign_add.py
#!/usr/bin/env python3
# coding: utf-8
# Copyright 2019-2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You ... | code_fim | hard | {
"lang": "python",
"repo": "mindspore-ai/akg",
"path": "/python/akg/ops/state/ascend/assign_add.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> return output
@utils.check_input_type(akg.tvm.tensor.Tensor, akg.tvm.tensor.Tensor, (str, type(None)))
def AssignAdd(data, value, target=utils.CCE):
"""
Computes data + value elementwise.
Note:
Only supports broadcast on input tensor value.
Args:
data (tvm.tensor.Te... | code_fim | hard | {
"lang": "python",
"repo": "mindspore-ai/akg",
"path": "/python/akg/ops/state/ascend/assign_add.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> Args:
data (tvm.tensor.Tensor): Data tensor.
value (tvm.tensor.Tensor): Value tensor, broadcast is allowed.
Returns:
fake_output: Invalid value, just to suit for framework.
res: assign add result, tvm.tensor.Tensor, with same type and shape as input tensor data.
... | code_fim | hard | {
"lang": "python",
"repo": "mindspore-ai/akg",
"path": "/python/akg/ops/state/ascend/assign_add.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
file_upload_feedback = reqparse.RequestParser()
file_upload_feedback.add_argument(
"firstname", type=str, required=True, help="firstname"
)
file_upload_feedback.add_argument("email", type=str, required=True, help="email")
file_upload_feedback.add_argument("company", type=str, required=True, help="com... | code_fim | hard | {
"lang": "python",
"repo": "enermaps/Hotmaps-toolbox-service",
"path": "/api/app/decorators/parsers.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: enermaps/Hotmaps-toolbox-service path: /api/app/decorators/parsers.py
import werkzeug
from flask_restplus import reqparse
pagination_arguments = reqparse.RequestParser()
pagination_arguments.add_argument(
"page", type=int, required=False, default=1, help="Page number"
)
pagination_arguments.... | code_fim | hard | {
"lang": "python",
"repo": "enermaps/Hotmaps-toolbox-service",
"path": "/api/app/decorators/parsers.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if A[mid][i] < x:
low = mid + 1
elif A[mid][i] > x:
high = mid - 1
else:
return True
return False
arr = [(1, 5), (9, 4), (4, 5), (4, 2), (7, 3), (1, 9), (1, 2)]
print(find_squares(arr))<|fim_prefix|># repo: edoriggio/algorithms-and-data-st... | code_fim | hard | {
"lang": "python",
"repo": "edoriggio/algorithms-and-data-structures",
"path": "/exercises/find_squares.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: edoriggio/algorithms-and-data-structures path: /exercises/find_squares.py
# Copyright 2021 Edoardo Riggio
#
# 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:/... | code_fim | hard | {
"lang": "python",
"repo": "edoriggio/algorithms-and-data-structures",
"path": "/exercises/find_squares.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> while low <= high:
mid = (high + low) // 2
if A[mid][i] < x:
low = mid + 1
elif A[mid][i] > x:
high = mid - 1
else:
return True
return False
arr = [(1, 5), (9, 4), (4, 5), (4, 2), (7, 3), (1, 9), (1, 2)]
print(find_squares(arr... | code_fim | hard | {
"lang": "python",
"repo": "edoriggio/algorithms-and-data-structures",
"path": "/exercises/find_squares.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>@app.route("/word_embeddings/vectors", methods=['GET'])
def get_vectors():
data = request.json
words = data['words']
vectors = []
for word in words:
try:
vectors.append(model[word].tolist())
except SystemError as e:
log.error(f'An error occurred in ... | code_fim | medium | {
"lang": "python",
"repo": "Verose/NLP_CLPSYCH",
"path": "/cosine_similarity/server.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Verose/NLP_CLPSYCH path: /cosine_similarity/server.py
import datetime
import json
import logging
import optparse
import os
import pickle
from flask import Flask, request
from flask_restful import Api
from common.utils import load_model, get_words, DATA_DIR
app = Flask(__name__)
api = Api(app)
... | code_fim | hard | {
"lang": "python",
"repo": "Verose/NLP_CLPSYCH",
"path": "/cosine_similarity/server.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: xinhui94/hades path: /python_epoll_client.py
import socket
import select
addr = ('127.0.0.1', 8001)
fd_sock = {}
# sock.setblocking(False)
epfd = select.epoll()
for i in range(10):
sock = socket.socket()
sock.connect(addr)
fd_sock[sock.fileno()] = sock
epfd.register(sock, select... | code_fim | medium | {
"lang": "python",
"repo": "xinhui94/hades",
"path": "/python_epoll_client.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>while True:
events = epfd.poll()
for fd, event in events:
sock = fd_sock[fd]
if event == select.EPOLLOUT:
sock.send(b'hello world\r\n\r\n')
epfd.modify(sock, select.EPOLLIN)
elif event == select.EPOLLIN:
v = sock.recv(1000)
pr... | code_fim | medium | {
"lang": "python",
"repo": "xinhui94/hades",
"path": "/python_epoll_client.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Fonction utilisee pour l'affichage"""
return self.message<|fim_prefix|># repo: Remyjck/trollsAndCastles path: /src/trollsAndCastles/entities/BilanPartie.py
#!/usr/bin/python
# -*-coding:utf-8 -*
class BilanPartie:
"""Bilan d'une partie de Trolls et Chateaux
- gagnant : Gagnant... | code_fim | hard | {
"lang": "python",
"repo": "Remyjck/trollsAndCastles",
"path": "/src/trollsAndCastles/entities/BilanPartie.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Remyjck/trollsAndCastles path: /src/trollsAndCastles/entities/BilanPartie.py
#!/usr/bin/python
# -*-coding:utf-8 -*
class BilanPartie:
"""Bilan d'une partie de Trolls et Chateaux
- gagnant : Gagnant
- message : Message resumant la partie
- exception : Eventuelle exception levee
... | code_fim | medium | {
"lang": "python",
"repo": "Remyjck/trollsAndCastles",
"path": "/src/trollsAndCastles/entities/BilanPartie.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
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