text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_prefix|># repo: jaredpeterson/pyhandy path: /pyhandy/txt_utils.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Utility functions for handling basic text IO.
"""
import io
def remove_multiple_newlines_in_txt(txt: str) -> str:
""" This function will remove multiple, sequential newlines in text (str) da... | code_fim | hard | {
"lang": "python",
"repo": "jaredpeterson/pyhandy",
"path": "/pyhandy/txt_utils.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.assertIsInstance(CoreServices.kMDItemParticipants, unicode)
self.assertIsInstance(CoreServices.kMDItemPixelCount, unicode)
self.assertIsInstance(CoreServices.kMDItemNamedLocation, unicode)
self.assertIsInstance(CoreServices.kMDItemAuthorAddresses, unicode)
self... | code_fim | hard | {
"lang": "python",
"repo": "GreatFruitOmsk/pyobjc-mirror",
"path": "/pyobjc-framework-CoreServices/PyObjCTest/test_mditem.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: GreatFruitOmsk/pyobjc-mirror path: /pyobjc-framework-CoreServices/PyObjCTest/test_mditem.py
from PyObjCTools.TestSupport import *
import CoreServices
class TestMDImport (TestCase):
@expectedFailure
def test_types(self):
self.assertIsCFType(CoreServices.MDItemRef)
def test_f... | code_fim | hard | {
"lang": "python",
"repo": "GreatFruitOmsk/pyobjc-mirror",
"path": "/pyobjc-framework-CoreServices/PyObjCTest/test_mditem.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.assertIsInstance(CoreServices.kMDItemDownloadedDate, unicode)
self.assertIsInstance(CoreServices.kMDItemDateAdded, unicode)
self.assertIsInstance(CoreServices.kMDItemCameraOwner, unicode)
self.assertIsInstance(CoreServices.kMDItemFocalLength35mm, unicode)
self.... | code_fim | hard | {
"lang": "python",
"repo": "GreatFruitOmsk/pyobjc-mirror",
"path": "/pyobjc-framework-CoreServices/PyObjCTest/test_mditem.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>eworks for electronic voting.'
__version__ = '2.0.4-dev'
default_app_config = 'openslides_votecollector.apps.VoteCollectorAppConfig'<|fim_prefix|># repo: emanuelschuetze/openslides-votecollector path: /openslides_votecollector/__init__.py
__verbose_name__ = 'OpenSlides VoteCollector Plugin'
__descriptio... | code_fim | medium | {
"lang": "python",
"repo": "emanuelschuetze/openslides-votecollector",
"path": "/openslides_votecollector/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: emanuelschuetze/openslides-votecollector path: /openslides_votecollector/__init__.py
__verbose_name__ = 'OpenSlides VoteCollector Plugin'
__description<|fim_suffix|>eworks for electronic voting.'
__version__ = '2.0.4-dev'
default_app_config = 'openslides_votecollector.apps.VoteCollectorAppConfig... | code_fim | medium | {
"lang": "python",
"repo": "emanuelschuetze/openslides-votecollector",
"path": "/openslides_votecollector/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>app_config = 'openslides_votecollector.apps.VoteCollectorAppConfig'<|fim_prefix|># repo: emanuelschuetze/openslides-votecollector path: /openslides_votecollector/__init__.py
__verbose_name__ = 'OpenSlides VoteCollector Plugin'
__description<|fim_middle|>__ = 'This plugin connects OpenSlides with the Vote... | code_fim | medium | {
"lang": "python",
"repo": "emanuelschuetze/openslides-votecollector",
"path": "/openslides_votecollector/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> x = wx + ww + 8
pos = (x, y)
pin.set_position(pos)
return pos
def end_output(self):
if imgui.begin_drag_drop_source():
imgui.set_drag_drop_payload('itemtype', b'payload')
self.page.start_dnd(self.output)
imgui.button('dragged... | code_fim | hard | {
"lang": "python",
"repo": "KangWeon/arcade-imgui",
"path": "/imflo/imflo/node.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: KangWeon/arcade-imgui path: /imflo/imflo/node.py
import arcade
import imgui
class Node:
def __init__(self, page):
self.page = page
self.pins = {}
def reset(self):
pass
<|fim_suffix|> if imgui.begin_drag_drop_source():
imgui.set_drag_drop_paylo... | code_fim | hard | {
"lang": "python",
"repo": "KangWeon/arcade-imgui",
"path": "/imflo/imflo/node.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> x, y = imgui.get_cursor_screen_pos()
wx, wy = imgui.get_window_position()
ww, wh = imgui.get_window_size()
x = wx + ww + 8
pos = (x, y)
pin.set_position(pos)
return pos
def end_output(self):
if imgui.begin_drag_drop_source():
... | code_fim | hard | {
"lang": "python",
"repo": "KangWeon/arcade-imgui",
"path": "/imflo/imflo/node.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bcgov/ligo-lib path: /linker/core/chunked_link_base.py
import os
import csv
import pandas as pd
import numpy as np
from linker.core.base import (CHUNK_SIZE)
from linker.core.link_base import LinkBase
from linker.core.files import LinkFiles
import logging
logger = logging.getLogger(__name__)
... | code_fim | hard | {
"lang": "python",
"repo": "bcgov/ligo-lib",
"path": "/linker/core/chunked_link_base.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def import_data(self, src_filename, columns, dest_filename, front_cols=None, data_types=None):
"""
Reads and imports the selected columns of a csv file into a new csv file.
The copied files is used during linking process to leave the source file unchanged.
:param src_fi... | code_fim | hard | {
"lang": "python",
"repo": "bcgov/ligo-lib",
"path": "/linker/core/chunked_link_base.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
if __name__ == "__main__":
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("-i", "--input-dir", help="Log directory.")
parser.add_argument(
"-l",
"--loss",
action="store_true",
help="Whether to plot loss stats in trainer.",
)
p... | code_fim | hard | {
"lang": "python",
"repo": "weiqiao/risk_sac",
"path": "/utils/plot_learning_stats.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # See possible Headers in utils/stats_examples.txt
if args.loss:
plot_stats = ["trainer/RF1 Loss", "trainer/RF2 Loss"]
plot_loss(logdir, plot_stats)
else:
plot_stats = ["Distance", "Risks", "path length"]
for stat in plot_stats:
vis_headers_y_mean = ... | code_fim | hard | {
"lang": "python",
"repo": "weiqiao/risk_sac",
"path": "/utils/plot_learning_stats.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: weiqiao/risk_sac path: /utils/plot_learning_stats.py
import argparse
import matplotlib
matplotlib.use("TkAgg")
import csv
import os
import matplotlib.pyplot as plt
import numpy as np
def plot_mean_std(ax, x, y_mean, y_std, color="darkorange", alpha=0.2, label=None):
ax.fill_between(
... | code_fim | hard | {
"lang": "python",
"repo": "weiqiao/risk_sac",
"path": "/utils/plot_learning_stats.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> object_names = []
for tree in trees:
if tree:
for node in ast.walk(tree):
if 'functions' in object_types and isinstance(node, ast.FunctionDef) \
and not is_magic_function(node.name):
object_names.append(node.name.lowe... | code_fim | hard | {
"lang": "python",
"repo": "ravique/words-finder",
"path": "/wordsfinder/words_parser.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ravique/words-finder path: /wordsfinder/words_parser.py
import ast
import os
import collections
from typing import Tuple, Union
from git import Repo, GitCommandError
from nltk import pos_tag
import giturlparse
TOP_WORDS_AMOUNT = 10
def make_flat(list_of_lists: list) -> list:
""" [(1,2), (... | code_fim | hard | {
"lang": "python",
"repo": "ravique/words-finder",
"path": "/wordsfinder/words_parser.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def get_all_projects_paths(local_paths: set, git_repositories_urls: set) -> set:
projects_paths = set()
if local_paths:
for folder in local_paths:
projects_paths.add(os.path.join('.', folder))
if git_repositories_urls:
for repo_uri in git_repositories_urls:
... | code_fim | hard | {
"lang": "python",
"repo": "ravique/words-finder",
"path": "/wordsfinder/words_parser.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: harryrs/student_explorer path: /student_explorer/urls.py
"""student_explorer URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.8/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app imp... | code_fim | hard | {
"lang": "python",
"repo": "harryrs/student_explorer",
"path": "/student_explorer/urls.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|># Override auth_logout from djangosaml2 and registration for consistant
# behavior
urlpatterns.append(url(r'^accounts/logout', views.logout, name='auth_logout'))
urlpatterns.append(url(r'^about', views.about, name='about'))
# Configure Django Debug Toolbar
if settings.DEBUG:
import debug_toolbar
... | code_fim | hard | {
"lang": "python",
"repo": "harryrs/student_explorer",
"path": "/student_explorer/urls.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kamyu104/LeetCode-Solutions path: /Python/jump-game-vii.py
# Time: O(n)
# Space: O(n)
# dp with line sweep solution
class Solution(object):
def canReach(self, s, minJump, maxJump):
<|fim_suffix|># Time: O(n)
# Space: O(n)
import collections
# bfs solution
class Solution2(object):
def... | code_fim | hard | {
"lang": "python",
"repo": "kamyu104/LeetCode-Solutions",
"path": "/Python/jump-game-vii.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># bfs solution
class Solution2(object):
def canReach(self, s, minJump, maxJump):
"""
:type s: str
:type minJump: int
:type maxJump: int
:rtype: bool
"""
q = collections.deque([0])
reachable = 0
while q:
i = q.popleft()... | code_fim | medium | {
"lang": "python",
"repo": "kamyu104/LeetCode-Solutions",
"path": "/Python/jump-game-vii.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> tag = tags.DICT[tag_name]
tag_type = tags.type_of_tag(tag)
jsonName = ""
if isElement (tag_name): jsonName = "elements"
else: jsonName = tag_name.lower()
if ((tag_type != types.NODATA and tag_nam... | code_fim | hard | {
"lang": "python",
"repo": "mabrains/ALIGN-public",
"path": "/align/gdsconv/txt2json.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mabrains/ALIGN-public path: /align/gdsconv/txt2json.py
#! /usr/bin/env python
# -*- coding: utf-8 -*-
"""TXT to JSON."""
from gdsii import tags, types
import json
import sys
import re
def print_data (tag_type, data):
if tag_type == types.ASCII: return "%s" % data[1:-1]
elif tag_t... | code_fim | hard | {
"lang": "python",
"repo": "mabrains/ALIGN-public",
"path": "/align/gdsconv/txt2json.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> if tag_type != types.NODATA and tag_name[0:3] != "BGN":
cursors[level][jsonName] = print_data(tag_type, rest)
elif tag_name[0:3] == "END":
if isinstance(cursors[level - 1], dict): level = level - 1
level = level - 1
json.dump (to... | code_fim | hard | {
"lang": "python",
"repo": "mabrains/ALIGN-public",
"path": "/align/gdsconv/txt2json.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
simple_test_data = np.zeros((4, 4, 4), dtype=np.float64)
simple_test_data[0] = -1
simple_test_data[1] = 1
simple_test_data[2] = 2
simple_test_data[3] = 3
glcm = TextureAnalysis.GLCM_3D(simple_test_data, d=1,
level_min=0, level_max=2, threshold=1... | code_fim | hard | {
"lang": "python",
"repo": "thanapeace/senior-project",
"path": "/texture_analysis/tests/test_core.py",
"mode": "spm",
"license": "LicenseRef-scancode-warranty-disclaimer",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: thanapeace/senior-project path: /texture_analysis/tests/test_core.py
# -*- coding: utf-8 -*-
from nose.tools import with_setup, raises, ok_, timed
import os
import copy
import numpy as np
from .context import TextureAnalysis
class TestCore:
<|fim_suffix|> pass
def test_glcm(self):
... | code_fim | hard | {
"lang": "python",
"repo": "thanapeace/senior-project",
"path": "/texture_analysis/tests/test_core.py",
"mode": "psm",
"license": "LicenseRef-scancode-warranty-disclaimer",
"source": "the-stack-v2"
} |
<|fim_suffix|> a[0]
for aa in a[1:]:
if idx + 2 >= n:
if idx + 1 < n:
ans += aa
break
idx += 2
ans += aa * 2
print(ans)
if __name__ == '__main__':
main()<|fim_prefix|># repo: m-star18/atcoder path: /submissions/abc173/d
def main():
impor... | code_fim | medium | {
"lang": "python",
"repo": "m-star18/atcoder",
"path": "/submissions/abc173/d",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: m-star18/atcoder path: /submissions/abc173/d
def main():
import sys
readline = sys.stdin.buffer.readline
sys.setrecursionlimit(10 ** 7)
<|fim_suffix|> break
idx += 2
ans += aa * 2
print(ans)
if __name__ == '__main__':
main()<|fim_middle|>n = int... | code_fim | hard | {
"lang": "python",
"repo": "m-star18/atcoder",
"path": "/submissions/abc173/d",
"mode": "psm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hrb518/EssentialMC2 path: /papers/pytorch-video-understanding/models/base/builder.py
#!/usr/bin/env python3
# Copyright (C) Alibaba Group Holding Limited.
""" Builder for video models. """
import sys
import torch
import torch.nn as nn
import traceback
import utils.logging as logging
from mo... | code_fim | hard | {
"lang": "python",
"repo": "hrb518/EssentialMC2",
"path": "/papers/pytorch-video-understanding/models/base/builder.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> model_ema = None
if cfg.MODEL.EMA.ENABLE:
model_ema = ModelEmaV2(model, decay=cfg.MODEL.EMA.DECAY)
try:
# convert batchnorm to be synchronized across
# different GPUs if needed
sync_bn = cfg.BN.SYNC_BN
if sync_bn == True and cfg.NUM_GPUS * cfg.NUM_SHAR... | code_fim | hard | {
"lang": "python",
"repo": "hrb518/EssentialMC2",
"path": "/papers/pytorch-video-understanding/models/base/builder.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tudor-berariu/lifelong-learning path: /tasks.py
from typing import Optional, Tuple
from functools import reduce
from operator import mul
# Torch imports
import numpy as np
import torch
from torch.utils.data import DataLoader
from torchvision import datasets, transforms
# Types used across modul... | code_fim | hard | {
"lang": "python",
"repo": "tudor-berariu/lifelong-learning",
"path": "/tasks.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def permute(data, target, i_perm: LongVector, t_perm: Optional[LongVector]):
in_size = data.size()
data = data.view(in_size[0], -1).index_select(1, i_perm).view(in_size)
if t_perm is not None:
target = t_perm.index_select(0, target)
return data, target
def random_permute(data, ta... | code_fim | hard | {
"lang": "python",
"repo": "tudor-berariu/lifelong-learning",
"path": "/tasks.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> in_size = data.size()
data = data.view(in_size[0], -1).index_select(1, i_perm).view(in_size)
if t_perm is not None:
target = t_perm.index_select(0, target)
return data, target
def random_permute(data, target, perms: Permutations):
i_perms, t_perms = perms
in_size = data.s... | code_fim | hard | {
"lang": "python",
"repo": "tudor-berariu/lifelong-learning",
"path": "/tasks.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for yr in range(gleam_et.shape[0]):
data = gleam_et[yr, :, :]
amazon_mean = get_area_weighted_avg(data, mask, pixel_size_grid)
gleam_vals.append(amazon_mean)
for yr in range(ntsg_et.shape[0]):
data = ntsg_et[yr, :, :]
amazon_mean = get_area_weighted_avg(dat... | code_fim | hard | {
"lang": "python",
"repo": "jcabaker/amazon_et",
"path": "/get_satellite_et_all_basins_interannual.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jcabaker/amazon_et path: /get_satellite_et_all_basins_interannual.py
import numpy as np
import iris
import iris.coord_categorisation
import pandas as pd
import matplotlib.pyplot as plt
from jpros.cube_funcs import *
from jpros import extract
from math import pi, sin
import warnings
warnings.filte... | code_fim | hard | {
"lang": "python",
"repo": "jcabaker/amazon_et",
"path": "/get_satellite_et_all_basins_interannual.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: DavidsDvm/Dev_Exercises path: /Console/Python/MisionTic/Excercises/test22.py
"""
Creacion de factorial de un numero
"""
<|fim_suffix|>for i in range(1, n+1):
num *= i
if n == 0 or n == 1:
num = 1
print("El factorial de {} es igual a {}".format(n, num))<|fim_middle|>num = 1
n = int(i... | code_fim | medium | {
"lang": "python",
"repo": "DavidsDvm/Dev_Exercises",
"path": "/Console/Python/MisionTic/Excercises/test22.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>for i in range(1, n+1):
num *= i
if n == 0 or n == 1:
num = 1
print("El factorial de {} es igual a {}".format(n, num))<|fim_prefix|># repo: DavidsDvm/Dev_Exercises path: /Console/Python/MisionTic/Excercises/test22.py
"""
Creacion de factorial de un numero
"""
<|fim_middle|>num = 1
n = int(i... | code_fim | medium | {
"lang": "python",
"repo": "DavidsDvm/Dev_Exercises",
"path": "/Console/Python/MisionTic/Excercises/test22.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mcgreevy/chromium-build path: /masters/master.chromium.gatekeeper/slaves.cfg
# -*- python -*-
# ex: set syntax=python:
# Copyright (c) 2006-2009 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
# Thi... | code_fim | hard | {
"lang": "python",
"repo": "mcgreevy/chromium-build",
"path": "/masters/master.chromium.gatekeeper/slaves.cfg",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> # (Optional) Random notes.
#'notes': string,
#},
### Experimental
{
'master': 'Gatekeeper',
'builder': 'Chromium Gatekeeper',
'hostname': 'vm182-m1',
},
{
'master': 'Gatekeeper',
'builder': 'Chromium Gatekeeper Failure',
'hostname': 'vm183-m1',
},
]<|fim_prefix|>... | code_fim | hard | {
"lang": "python",
"repo": "mcgreevy/chromium-build",
"path": "/masters/master.chromium.gatekeeper/slaves.cfg",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Xuenew/2c path: /src/utils/tools.py
#!/usr/bin/env python
"""
Created by howie.hu at 2021/4/7.
Description：通用函数
Changelog: all notable changes to this file will be documented
"""
import hashlib
<|fim_suffix|> """
对字符串进行md5加密
:param string: 加密目标字符串
:return:
"""
... | code_fim | easy | {
"lang": "python",
"repo": "Xuenew/2c",
"path": "/src/utils/tools.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def md5_encryption(string: str) -> str:
"""
对字符串进行md5加密
:param string: 加密目标字符串
:return:
"""
m = hashlib.md5()
m.update(string.encode("utf-8"))
return m.hexdigest()<|fim_prefix|># repo: Xuenew/2c path: /src/utils/tools.py
#!/usr/bin/env python
"""
Created by howie.hu at... | code_fim | easy | {
"lang": "python",
"repo": "Xuenew/2c",
"path": "/src/utils/tools.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: erelsgl/fair-family-allocation path: /line_protocol.py
#!python3
"""
The line-allocation protocol:
* 1/2-democratic EF1 for two families with general monotone agents;
* 1/k-democratic fair for k families with additive agents.
See: https://arxiv.org/abs/1709.02564 Theorems 4.2 and 5.8.
"""
from... | code_fim | hard | {
"lang": "python",
"repo": "erelsgl/fair-family-allocation",
"path": "/line_protocol.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> goods=list(goods) # order the goods on a line
left_sequence = list()
right_sequence = list(goods)
for good in goods:
logger.info("\nCurrent partition: {} | {}:".format(left_sequence,right_sequence))
left_bundle = set(left_sequence)
right_bundle = set(right_sequenc... | code_fim | hard | {
"lang": "python",
"repo": "erelsgl/fair-family-allocation",
"path": "/line_protocol.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Python3pkg/IPS-Vagrant path: /ips_vagrant/common/__init__.py
from distutils.version import StrictVersion, LooseVersion
import os
import click
import logging
import http.cookiejar
import requests
import ips_vagrant
from urllib.parse import urlparse
from configparser import ConfigParser
def confi... | code_fim | hard | {
"lang": "python",
"repo": "Python3pkg/IPS-Vagrant",
"path": "/ips_vagrant/common/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return version
def unparse_version(vtuple):
"""
Return the textual representation of a version tuple
@type vtuple: tuple
@rtype: str
"""
return '.'.join(map(str, vtuple))
def byteify(input):
if isinstance(input, dict):
return {byteify(key):byteify(value) for k... | code_fim | hard | {
"lang": "python",
"repo": "Python3pkg/IPS-Vagrant",
"path": "/ips_vagrant/common/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return self.steps + other
def __mul__(self, other):
return self.steps * other
def __repr__(self):
return repr(self.steps)
def __str__(self):
stringified = [str(step) for step in self.steps]
return '[{}]'.format(', '.join(stringified))
def __len__... | code_fim | hard | {
"lang": "python",
"repo": "kuc2477/dom-ged-genetic-approximator",
"path": "/dgg/types.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return self.steps * other
def __repr__(self):
return repr(self.steps)
def __str__(self):
stringified = [str(step) for step in self.steps]
return '[{}]'.format(', '.join(stringified))
def __len__(self):
return len(self.steps)
class DOMTree(object):
... | code_fim | hard | {
"lang": "python",
"repo": "kuc2477/dom-ged-genetic-approximator",
"path": "/dgg/types.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kuc2477/dom-ged-genetic-approximator path: /dgg/types.py
import random
import copy
from bs4 import BeautifulSoup, NavigableString, Tag
from .utils import clean_soup
class Step(object):
W = WRAP = 'W'
A = APPEND = 'A'
D = DELETE = 'D'
M = MODIFY = 'M'
TYPES = (W, A, D, M)
... | code_fim | hard | {
"lang": "python",
"repo": "kuc2477/dom-ged-genetic-approximator",
"path": "/dgg/types.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: javicodema/tensorflow_course path: /forecasting.py
import numpy as np
import matplotlib.pyplot as plt
import tensorflow as tf
keras = tf.keras
def plot_series(time, series, format="-", start=0, end=None, label=None):
plt.plot(time[start:end], series[start:end], format, label=label)
plt... | code_fim | hard | {
"lang": "python",
"repo": "javicodema/tensorflow_course",
"path": "/forecasting.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>window_size = 30
train_set = window_dataset(x_train, window_size)
model = keras.models.Sequential([
keras.layers.Dense(1, input_shape=[window_size])
])
lr_schedule = keras.callbacks.LearningRateScheduler(
lambda epoch: 1e-6 * 10**(epoch / 30))
optimizer = keras.optimizers.SGD(lr=1e-6, momentum=0.9... | code_fim | hard | {
"lang": "python",
"repo": "javicodema/tensorflow_course",
"path": "/forecasting.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.CreateModel(
name='CopyForm',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('shelfmark', models.CharField(blank=True, default='', max_length=500, nul... | code_fim | hard | {
"lang": "python",
"repo": "senderle/bookcensus",
"path": "/census/migrations/0033_copyform.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: senderle/bookcensus path: /census/migrations/0033_copyform.py
# Generated by Django 2.0.9 on 2020-05-11 15:35
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
<|fim_suffix|> operations = [
migrations.CreateModel(
... | code_fim | hard | {
"lang": "python",
"repo": "senderle/bookcensus",
"path": "/census/migrations/0033_copyform.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Caro-app/calamari path: /calamari_ocr/ocr/datasets/abbyy_dataset/dataset.py
import os
import numpy as np
from typing import List
from PIL import Image
from .reader import XMLReader
from .writer import XMLWriter
from tqdm import tqdm
from calamari_ocr.ocr.datasets import DataSet, DataSetMode, Dat... | code_fim | hard | {
"lang": "python",
"repo": "Caro-app/calamari",
"path": "/calamari_ocr/ocr/datasets/abbyy_dataset/dataset.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> super().__init__(
mode,
skip_invalid, remove_invalid)
self.xmlfiles = xmlfiles if xmlfiles else []
self.files = files if files else []
self._non_existing_as_empty = non_existing_as_empty
if len(self.xmlfiles) == 0:
from calamari... | code_fim | hard | {
"lang": "python",
"repo": "Caro-app/calamari",
"path": "/calamari_ocr/ocr/datasets/abbyy_dataset/dataset.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> log = self.__test_log_aux('Fatal Message - 致命错误', self.logger.fatal, logging.FATAL)
self.assertEqual(self.status_log_admin.colored_msg(log),
'<span style="color: red;">Fatal Message - 致命错误</span>')
self.assertEqual(self.status_log_admin.traceback(log), '<pr... | code_fim | hard | {
"lang": "python",
"repo": "CiCiUi/django-db-logger",
"path": "/django_db_logger/tests.py",
"mode": "spm",
"license": "WTFPL",
"source": "the-stack-v2"
} |
<|fim_suffix|> exception_message = 'Exception Message'
try:
raise Exception(exception_message)
except Exception as e:
self.logger.exception(e)
log_queryset = StatusLog.objects.filter(msg=exception_message)
self.assertEqual(log_queryset.count(), 1)
... | code_fim | hard | {
"lang": "python",
"repo": "CiCiUi/django-db-logger",
"path": "/django_db_logger/tests.py",
"mode": "spm",
"license": "WTFPL",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: CiCiUi/django-db-logger path: /django_db_logger/tests.py
# encoding: utf-8
from __future__ import unicode_literals
import logging
from django.contrib.admin import AdminSite
from django.test import TestCase
from django_db_logger.admin import StatusLogAdmin
from .models import StatusLog
class Tes... | code_fim | hard | {
"lang": "python",
"repo": "CiCiUi/django-db-logger",
"path": "/django_db_logger/tests.py",
"mode": "psm",
"license": "WTFPL",
"source": "the-stack-v2"
} |
<|fim_suffix|> pi=0
for k in range(cnt):
re=(4/(8*k+1)+2/(8*k+4)+1/(8*k+5)+1/(8*k+6))
re=re/pow(16,k)
pi+=re
print(f'{k}/{cnt}',end='\r')
print('form',pi,end='\n\n')
for i in range(3,6):
cnt=10**i
print(cnt,end='\n')
mtkl(cnt)
form(cnt)<|fim_prefix|># repo: An... | code_fim | medium | {
"lang": "python",
"repo": "AndrewLauu/CodeLib",
"path": "/calcuPi.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: AndrewLauu/CodeLib path: /calcuPi.py
import random
def mtkl(cnt):
inCir=0
for j in range(cnt):
x=random.random()
y=random.random()
print(f'{j}/{cnt}',end='\r')
if (x**2+y**2)**0.5<=1:
inCir+=1
pi=4*inCir/cnt
print('mtkl',pi,end='\n\n')... | code_fim | hard | {
"lang": "python",
"repo": "AndrewLauu/CodeLib",
"path": "/calcuPi.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Retrieve JSON data from Canvas we'll need to download student artifacts."""
# Download the JSON files to a working directory.
if not os.path.exists(JSON_FOLDER):
os.makedirs(JSON_FOLDER)
make_time_stamp_file()
dump_all_json()
# Report counts of what we got ba... | code_fim | hard | {
"lang": "python",
"repo": "calstateteach/canvas_artifacts_download",
"path": "/json_artifacts.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: calstateteach/canvas_artifacts_download path: /json_artifacts.py
"""Retrieve all the JSON data sets from Canvas API we'll need to archive all
student artifacts for all courses. Store the JSON data in external files for
retrieval without having to hit Canvas API.
11.22.2016 tps
11.25.2016 tps Bu... | code_fim | hard | {
"lang": "python",
"repo": "calstateteach/canvas_artifacts_download",
"path": "/json_artifacts.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mrlathome/saam_body_gesture_detection path: /scripts/person_detection.py
import rospy
import cv_bridge
from saam_object_detection.srv import WhatAmILookingAt
import json
import numpy as np
class PersonDetection:
def __init__(self, service_name='what_am_i_looking_at'):
rospy.wait_for... | code_fim | hard | {
"lang": "python",
"repo": "mrlathome/saam_body_gesture_detection",
"path": "/scripts/person_detection.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> image_h, image_w = image.shape[:2]
encoded_image = self.bridge.cv2_to_imgmsg(image, encoding="passthrough")
resp = self.service(input_image=encoded_image)
resp = resp.objects_json
resp = self.json_str_to_dict(resp.data)
persons = []
for i in range(r... | code_fim | hard | {
"lang": "python",
"repo": "mrlathome/saam_body_gesture_detection",
"path": "/scripts/person_detection.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> @staticmethod
def json_str_to_dict(json_str):
data = json.loads(json_str)
objects_dict = dict()
# based on saam-object-detection document
objects_dict['num_detections'] = int(data['num_detections'])
objects_dict['detection_boxes'] = np.array(data['detection_... | code_fim | medium | {
"lang": "python",
"repo": "mrlathome/saam_body_gesture_detection",
"path": "/scripts/person_detection.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: c0710204/python-socketio-cluster path: /src/libs/storage/file_obj.py
class file_obj(object):
<|fim_suffix|> raise NotImplementedError
def force_ready(self):
raise NotImplementedError<|fim_middle|> path=""
ready=False
def get_path(self):
raise NotImp... | code_fim | medium | {
"lang": "python",
"repo": "c0710204/python-socketio-cluster",
"path": "/src/libs/storage/file_obj.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> raise NotImplementedError<|fim_prefix|># repo: c0710204/python-socketio-cluster path: /src/libs/storage/file_obj.py
class file_obj(object):
path=""
ready=False
def get_path(self):
<|fim_middle|> raise NotImplementedError
def update_ready(self):
raise NotIm... | code_fim | medium | {
"lang": "python",
"repo": "c0710204/python-socketio-cluster",
"path": "/src/libs/storage/file_obj.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: c0710204/python-socketio-cluster path: /src/libs/storage/file_obj.py
class file_obj(object):
path=""
ready=False
def get_path(self):
raise NotImplementedError
def update_ready(self):
<|fim_suffix|> raise NotImplementedError<|fim_middle|> raise NotIm... | code_fim | medium | {
"lang": "python",
"repo": "c0710204/python-socketio-cluster",
"path": "/src/libs/storage/file_obj.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: UncleEngineer/TkinterTrick path: /000-testtkcalendar.py
try:
import tkinter as tk
from tkinter import ttk
except ImportError:
import Tkinter as tk
import ttk
from tkcalendar import Calendar, DateEntry
def example1():
def print_sel():
<|fim_suffix|> def gettext(... | code_fim | hard | {
"lang": "python",
"repo": "UncleEngineer/TkinterTrick",
"path": "/000-testtkcalendar.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def example2():
def gettext():
print(cal.get())
top = tk.Toplevel(root)
#texttest = StringVar()
ttk.Label(top, text='Choose date').pack(padx=10, pady=10)
cal = DateEntry(top, width=12, background='darkblue',
foreground='white', borderwidth... | code_fim | hard | {
"lang": "python",
"repo": "UncleEngineer/TkinterTrick",
"path": "/000-testtkcalendar.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cash2one/xai path: /xai/brain/wordbase/nouns/_elder.py
#calss header
class _ELDER():
def __init__(self,):
self.name = "ELDER"
self.definitions = [u'an older person, especially one with a respected position in society: ', u'an official of a religious group: ', u'\u2192\xa0 elderberry ']
... | code_fim | easy | {
"lang": "python",
"repo": "cash2one/xai",
"path": "/xai/brain/wordbase/nouns/_elder.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>'''
Color detection
'''
detection_radius_def = 2<|fim_prefix|># repo: aaron837/py-rubik_solver path: /src/cubes/configs.py
from vpython import color, vector
'''
Colors
'''
bg_color = color.black
base_color = color.gray(0.4)
colors_dict_def = {
"U": color.white,
"F": color.red,
"R": c... | code_fim | medium | {
"lang": "python",
"repo": "aaron837/py-rubik_solver",
"path": "/src/cubes/configs.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>move_time_def /= speed
wait_time_def /= speed
'''
Color detection
'''
detection_radius_def = 2<|fim_prefix|># repo: aaron837/py-rubik_solver path: /src/cubes/configs.py
from vpython import color, vector
'''
Colors
'''
bg_color = color.black
base_color = color.gray(0.4)
colors_dict_def = {
"... | code_fim | medium | {
"lang": "python",
"repo": "aaron837/py-rubik_solver",
"path": "/src/cubes/configs.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: aaron837/py-rubik_solver path: /src/cubes/configs.py
from vpython import color, vector
'''
Colors
'''
bg_color = color.black
base_color = color.gray(0.4)
colors_dict_def = {
"U": color.white,
"F": color.red,
"R": color.blue,
"B": color.orange,
"L": color.green,
"D": c... | code_fim | easy | {
"lang": "python",
"repo": "aaron837/py-rubik_solver",
"path": "/src/cubes/configs.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: emmertex/openpilot path: /selfdrive/car/modules/UIEV_module.py
from cereal import ui
from common import realtime
import selfdrive.messaging as messaging
from selfdrive.services import service_list
import zmq
class UIEvents(object):
def __init__(self,carstate):
self.CS = carst... | code_fim | hard | {
"lang": "python",
"repo": "emmertex/openpilot",
"path": "/selfdrive/car/modules/UIEV_module.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def custom_alert_message(self,status,message,duration,sound=-1):
if (status > -1) and (self.prev_cstm_status > status) and \
(self.CS.custom_alert_counter > 55):
#dont change lessage to a lower importance one if we still have more than half second of display time
... | code_fim | hard | {
"lang": "python",
"repo": "emmertex/openpilot",
"path": "/selfdrive/car/modules/UIEV_module.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cnluzon/advent2016 path: /scripts/04_security_through_obscurity.py
import argparse
"""
--- Day 4: Security Through Obscurity ---
Finally, you come across an information kiosk with a list of rooms. Of course,
the list is encrypted and full of decoy data, but the instructions to decode
the list ar... | code_fim | hard | {
"lang": "python",
"repo": "cnluzon/advent2016",
"path": "/scripts/04_security_through_obscurity.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def extract_shifted_name(code):
sector_id = extract_sector_id(code)
letters = extract_letters(code)
new_name = shift_name(letters, sector_id)
return new_name
def sum_sector_values(code_list):
acum = 0
for code in code_list:
acum += extract_sector_value(code)
return ... | code_fim | hard | {
"lang": "python",
"repo": "cnluzon/advent2016",
"path": "/scripts/04_security_through_obscurity.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>input().split())
print(np.max(np.min(arr, axis = 1)))<|fim_prefix|># repo: nikhilchaudhary0126/hackerrank-python3-solutions path: /Numpy/Min and Max.py
#!/bin/python3
import numpy as np
if __name__ == '__main__':
n,m=map(int,input().split())
arr=np.zeros((<|fim_middle|>n,m),int)
for i in... | code_fim | easy | {
"lang": "python",
"repo": "nikhilchaudhary0126/hackerrank-python3-solutions",
"path": "/Numpy/Min and Max.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nikhilchaudhary0126/hackerrank-python3-solutions path: /Numpy/Min and Max.py
#!/bin/python3
import numpy as np
if __name__ == '__main__':
n,m=map(int,input().split())
arr=np.zeros((<|fim_suffix|>input().split())
print(np.max(np.min(arr, axis = 1)))<|fim_middle|>n,m),int)
for i in... | code_fim | easy | {
"lang": "python",
"repo": "nikhilchaudhary0126/hackerrank-python3-solutions",
"path": "/Numpy/Min and Max.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>n,m),int)
for i in range(n):
arr[i]=np.array(input().split())
print(np.max(np.min(arr, axis = 1)))<|fim_prefix|># repo: nikhilchaudhary0126/hackerrank-python3-solutions path: /Numpy/Min and Max.py
#!/bin/python3
import numpy as np
if __name__ == '__mai<|fim_middle|>n__':
n,m=map(int,... | code_fim | easy | {
"lang": "python",
"repo": "nikhilchaudhary0126/hackerrank-python3-solutions",
"path": "/Numpy/Min and Max.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>itlebar": "bg:#333333 #ffffff",
# Messages
"message": "bg:#bbee88 #222222",
"loading": "#888888",
# Help
"title": "bold #44aaff",
"subtitle": "bold #8800ff",
"line": "#888888",
"keys": "#44aaff",
"version": "#8800ff",
}<|fim_prefix|># repo: prompt-toolkit/pypager path:... | code_fim | hard | {
"lang": "python",
"repo": "prompt-toolkit/pypager",
"path": "/pypager/style.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: prompt-toolkit/pypager path: /pypager/style.py
__all__ = [
"ui_style",
]
ui_style = {
# Standout is caused by man pages that insert a x\b in the output.
"standout": "bold #44aaff",
"standout2": "underline #aa8844",
# Show current search term. (The cursor is not visible).
... | code_fim | hard | {
"lang": "python",
"repo": "prompt-toolkit/pypager",
"path": "/pypager/style.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>: 0.0, 'H': 0.0, 'K': 0.0, 'M': 0.0, 'L': 0.0, 'N': 0.0, 'Q': -0.0, 'P': 0.0, 'S': -0.0, 'R': 0.0, 'T': 0.0, 'W': -0.0, 'V': -0.0, 'Y': 0.0}, 9: {'A': -0.041, 'C': 0.0, 'E': 0.019, 'D': 0.0, 'G': 0.011, 'F': 0.0, 'I': 0.029, 'H': 0.0, 'K': 0.003, 'M': 0.007, 'L': -0.093, 'N': 0.089, 'Q': 0.056, 'P': 0.009... | code_fim | hard | {
"lang": "python",
"repo": "FRED-2/Fred2",
"path": "/Fred2/Data/pssms/smm/mat/B_08_01_11.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: FRED-2/Fred2 path: /Fred2/Data/pssms/smm/mat/B_08_01_11.py
B_08_01_11 = {0: {'A': 0.0, 'C': 0.0, 'E': -0.0, 'D': 0.0, 'G': 0.0, 'F': 0.0, 'I': 0.0, 'H': 0.0, 'K': -0.0, 'M': 0.0, 'L': -0.0, 'N': 0.0, 'Q': -0.0, 'P': 0.0, 'S': 0.0, 'R': -0.0, 'T': -0.0, 'W': 0.0, 'V': -0.0, 'Y': 0.0}, 1: {'A': 0.0... | code_fim | hard | {
"lang": "python",
"repo": "FRED-2/Fred2",
"path": "/Fred2/Data/pssms/smm/mat/B_08_01_11.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> assert not captured_post(date(2019, 1, 2), date(2019, 1, 3), False)
assert captured_post(date(2019, 1, 2), date(2019, 1, 3), True)
assert not captured_post(date(2019, 1, 3), date(2019, 1, 3), False)
assert captured_post(date(2019, 1, 3), date(2019, 1, 3), True)<|fim_prefix... | code_fim | hard | {
"lang": "python",
"repo": "john5f35/abcli",
"path": "/abcli/commands/test/test_transaction.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> assert not captured_post(date(2019, 1, 1), date(2019, 1, 3), False)
assert captured_post(date(2019, 1, 1), date(2019, 1, 3), True)
assert not captured_post(date(2019, 1, 2), date(2019, 1, 3), False)
assert captured_post(date(2019, 1, 2), date(2019, 1, 3), True)
as... | code_fim | hard | {
"lang": "python",
"repo": "john5f35/abcli",
"path": "/abcli/commands/test/test_transaction.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: john5f35/abcli path: /abcli/commands/test/test_transaction.py
from datetime import date
from pony import orm
from abcli.commands.transaction import get_posts_between_period
from abcli.model import init_orm
def test_get_posts_between_period():
<|fim_suffix|> def captured_post(date_from,... | code_fim | hard | {
"lang": "python",
"repo": "john5f35/abcli",
"path": "/abcli/commands/test/test_transaction.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> line_stats_test : list or None, optional
Statistics for sampling from the ``size x dims`` elements for the
testing data.
Returns
-------
train_data : tuple, (X, y)
Training data with ``X`` and ``y``.
val_data : tuple, (X, y)
Validation data with ``X`` and ``y``.
... | code_fim | hard | {
"lang": "python",
"repo": "APRashedAhmed/combinatorial-generalization",
"path": "/combinatorial_generalization/make_datasets.py",
"mode": "spm",
"license": "LicenseRef-scancode-warranty-disclaimer",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: APRashedAhmed/combinatorial-generalization path: /combinatorial_generalization/make_datasets.py
"""Script to hold the functions for making combigen datasets."""
import logging
import combinatorial_generalization.default_configuration as config
import combinatorial_generalization.combigen as cg
... | code_fim | hard | {
"lang": "python",
"repo": "APRashedAhmed/combinatorial-generalization",
"path": "/combinatorial_generalization/make_datasets.py",
"mode": "psm",
"license": "LicenseRef-scancode-warranty-disclaimer",
"source": "the-stack-v2"
} |
<|fim_suffix|> if tree.root is None:
return 0
low, high = sum_range
return get_sum_over_range_helper(tree.root, low, high)
if __name__ == "__main__":
tree = BinarySearchTree()
tree.add(5)
tree.add(3)
tree.add(8)
tree.add(2)
tree.add(4)
tree.add(6)
tree.add(10)
... | code_fim | hard | {
"lang": "python",
"repo": "All3yp/Daily-Coding-Problem-Solutions",
"path": "/Solutions/343.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: All3yp/Daily-Coding-Problem-Solutions path: /Solutions/343.py
"""
Problem:
Given a binary search tree and a range [a, b] (inclusive), return the sum of the
elements of the binary search tree within the range.
For example, given the following tree:
<|fim_suffix|>from DataStructures.Tree import ... | code_fim | medium | {
"lang": "python",
"repo": "All3yp/Daily-Coding-Problem-Solutions",
"path": "/Solutions/343.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def get_sum_over_range_helper(node: Node, low: int, high: int) -> int:
if node is None:
return 0
if low <= node.val <= high:
return (
node.val
+ get_sum_over_range_helper(node.left, low, high)
+ get_sum_over_range_helper(node.right, low, high)
... | code_fim | medium | {
"lang": "python",
"repo": "All3yp/Daily-Coding-Problem-Solutions",
"path": "/Solutions/343.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class User(Base):
__tablename__ = "USERS"
id = Column(String(36), primary_key=True, default=uuid4)
email = Column(String(128), unique=True)
active = Column(Boolean)
updated_at = Column(DateTime)
created_at = Column(DateTime)
class Punch(Base):
__tablename__ = "WORKING_PUNCHE... | code_fim | hard | {
"lang": "python",
"repo": "g-sponda/pontomaisoumenos",
"path": "/app/database/models.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: g-sponda/pontomaisoumenos path: /app/database/models.py
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
from sqlalchemy import (
Boolean,
Column,
create_engine,
DateTime,
ForeignKey,
MetaData,
String,
)
from sqlalchemy.ext.declarative import declarative_base
from sqlalc... | code_fim | medium | {
"lang": "python",
"repo": "g-sponda/pontomaisoumenos",
"path": "/app/database/models.py",
"mode": "psm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|> for input, expected_output in data:
# print(input, expected_output, fct(input))
actual_output = fct(input)
if actual_output != expected_output:
print("input: {} expected: {} got: {}".format(input, expected_output, actual_output))
assert actual_output == expe... | code_fim | hard | {
"lang": "python",
"repo": "jannikmi/timezonefinder",
"path": "/tests/auxiliaries.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jannikmi/timezonefinder path: /tests/auxiliaries.py
import random
import timeit
from math import log10
from typing import Callable, Tuple
import numpy as np
from timezonefinder import TimezoneFinder, utils
from timezonefinder.configs import (
DTYPE_FORMAT_SIGNED_I_NUMPY,
MAX_ALLOWED_COO... | code_fim | hard | {
"lang": "python",
"repo": "jannikmi/timezonefinder",
"path": "/tests/auxiliaries.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: williballenthin/synapse path: /synapse/cores/sqlite.py
)
q = self._q_getrows_by_le
rows = self.select(q, prop=prop, valu=valu, limit=limit)
return self._foldTypeCols(rows)
def _sizeByRange(self, prop, valu, limit=None):
limit = self._getDbLimit(limit)
... | code_fim | hard | {
"lang": "python",
"repo": "williballenthin/synapse",
"path": "/synapse/cores/sqlite.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def _sizeByLe(self, prop, valu, limit=None):
limit = self._getDbLimit(limit)
q = self._q_getsize_by_le
args = [ prop, valu, limit ]
return self.select(q,prop=prop,valu=valu,limit=limit)[0][0]
def _initDbConn(self):
dbinfo = self._initDbInfo()
dbname... | code_fim | hard | {
"lang": "python",
"repo": "williballenthin/synapse",
"path": "/synapse/cores/sqlite.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> self._q_istable = self._prepQuery(self._t_istable)
self._q_inittable = self._prepQuery(self._t_inittable)
self._q_init_iden_idx = self._prepQuery(self._t_init_iden_idx)
self._q_init_prop_idx = self._prepQuery(self._t_init_prop_idx)
self._q_init_strval_idx = self._pr... | code_fim | hard | {
"lang": "python",
"repo": "williballenthin/synapse",
"path": "/synapse/cores/sqlite.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
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