text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|> """ Receives path to keywords file and DUP flag.
"""
self.DUP = dup
if not os.path.exists(fpath):
raise FileNotFoundError(ENOENT, os.strerror(ENOENT), fpath)
self.fpath = fpath<|fim_prefix|># repo: myegorov/schmerlin path: /autoload/parsers/parser.py
im... | code_fim | easy | {
"lang": "python",
"repo": "myegorov/schmerlin",
"path": "/autoload/parsers/parser.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: peterhusisian/SUAS-Competition path: /PeterDev/ColorLayers.py
from root.nested.Point import Point
from math import sqrt
from PIL import Image
class ColorLayers:
def __init__ (self, img, image):
self.colorLayers = []
self.img = img
self.image = image
self.fillHo... | code_fim | hard | {
"lang": "python",
"repo": "peterhusisian/SUAS-Competition",
"path": "/PeterDev/ColorLayers.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for i in range(0, len(self)):
print(str(self.getDistanceToMidpoint(self[i].getColorLayerBoundsCorner())))
def getDistanceToMidpoint(self, pointIn):
midpoint = self.getMidpoint()
return sqrt((pointIn.getX() - midpoint.getX())**2 + (pointIn.getY() - midpoint.getY... | code_fim | hard | {
"lang": "python",
"repo": "peterhusisian/SUAS-Competition",
"path": "/PeterDev/ColorLayers.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: TCatshoek/lstar path: /util/savehypothesis.py
from pathlib import Path
from graphviz import Digraph
from datetime import datetime
from util.dotloader import load_mealy_dot, hyp_mealy_parser
# Returns a handler function to save hypotheses in the given directory
def savehypothesis(save_dir, save_pr... | code_fim | medium | {
"lang": "python",
"repo": "TCatshoek/lstar",
"path": "/util/savehypothesis.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> g = Digraph('G', filename=Path(cur_dir).joinpath(file_name))
g.attr(rankdir='LR')
# Hacky way to draw start arrow pointing to first node
# g.attr('node', shape='none')
g.node('__start0', label='', _attributes={'height': '0', 'width': '0', 'shape': 'none'})
... | code_fim | hard | {
"lang": "python",
"repo": "TCatshoek/lstar",
"path": "/util/savehypothesis.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Sem8/dictionary-app path: /dict_application.py
import json
import sys
# Method to add a word and it's definition:
def add_word_definition(word, definition):
add_to_dict = {word: {"definition": f'{definition}', "synonyms": []}}
with open("dictionary.json", "r+") as outfile:
d... | code_fim | hard | {
"lang": "python",
"repo": "Sem8/dictionary-app",
"path": "/dict_application.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Logic to add the synonym, split up the word and the synonym and input the appropriate values into the add_word_synonym function
if action == 'addSynonym':
add_word_synonyms(each_word, to_add)
# Logic to get the word definition, get the word from input use... | code_fim | hard | {
"lang": "python",
"repo": "Sem8/dictionary-app",
"path": "/dict_application.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>#--------------------------------------------------------------------------
# Receive the calibration information
#--------------------------------------------------------------------------
CalDat = Brd.BrdGetCalDat()
print(calDat)<|fim_prefix|># repo: carterjgreen/undergrad-thesis path: /AN2... | code_fim | hard | {
"lang": "python",
"repo": "carterjgreen/undergrad-thesis",
"path": "/AN24_04.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: carterjgreen/undergrad-thesis path: /AN24_04.py
# AN24_04 -- Accessing Calibration Data
import Class.Adf24Tx2Rx4 as Adf24Tx2Rx4
# (1) Connect to DemoRad: Check if Brd exists: Problem with USB driver
# (2) Read Calibration Data
# (3) Read Calibration Information
<|fim_suffix|>#------------... | code_fim | hard | {
"lang": "python",
"repo": "carterjgreen/undergrad-thesis",
"path": "/AN24_04.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> # We set a custom property that we access in CommitRule, to prove we can add extra properties to the commit
commit.custom_prop = u"foöbar"
# We also ignore some extra rules, proving that we can modify the config
config.ignore.append("B4")
class ConfigurableCommitRule(Com... | code_fim | hard | {
"lang": "python",
"repo": "l0nax/gitlint",
"path": "/qa/samples/user_rules/extra/extra_rules.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: l0nax/gitlint path: /qa/samples/user_rules/extra/extra_rules.py
# -*- coding: utf-8 -*-
from gitlint.rules import CommitRule, RuleViolation, ConfigurationRule
from gitlint.options import IntOption, StrOption, ListOption
from gitlint.utils import sstr
class GitContextRule(CommitRule):
""" R... | code_fim | hard | {
"lang": "python",
"repo": "l0nax/gitlint",
"path": "/qa/samples/user_rules/extra/extra_rules.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.load_current = sum(self.load_current_list)/10
#print (self.load_current)
def run(self):
while True:
self.update_cells()
self.update_load_current()
time.sleep(0.1)<|fim_prefix|># repo: brandonhanner/shedpi path: /ShedPi/modules/BlynkMo... | code_fim | hard | {
"lang": "python",
"repo": "brandonhanner/shedpi",
"path": "/ShedPi/modules/BlynkModule/bms.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def update_load_current(self):
#1.670 0 current voltage 3.3/2 = 1.65v
raw = self.adc.read_channel(1)
corrected = raw - self.adc_current_zero_offset
diff = corrected - self.adc_tare_voltage
amps = diff / .040
self.load_current_list.pop(0)
self.... | code_fim | hard | {
"lang": "python",
"repo": "brandonhanner/shedpi",
"path": "/ShedPi/modules/BlynkModule/bms.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: brandonhanner/shedpi path: /ShedPi/modules/BlynkModule/bms.py
import threading
import time
class battery(object):
def __init__(self,adc):
self.adc=adc
self.cell_voltages = [0,0,0,0]
self.voltage = 0
self.load_current = 0
#set up the divider constants
... | code_fim | hard | {
"lang": "python",
"repo": "brandonhanner/shedpi",
"path": "/ShedPi/modules/BlynkModule/bms.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jmbrooks/dbtea path: /dbtea/clients/bi/looker/base.py
gger
OUTPUT_TO_OPTIONS = {"stdout", "file"}
LOOKML_DIMENSION = "dimension"
LOOKML_DIMENSION_GROUP = "dimension_group"
LOOKML_MEASURE = "measure"
LOOKML_SET = "set"
LOOKML_DIMENSION_GROUP_TYPES = {"duration", "time"}
LOOKML_ZIPCODE_FIELD_NA... | code_fim | hard | {
"lang": "python",
"repo": "jmbrooks/dbtea",
"path": "/dbtea/clients/bi/looker/base.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jmbrooks/dbtea path: /dbtea/clients/bi/looker/base.py
lass LookmlProject:
""""""
def __init__(self, project_id: str, config_file_path: Optional[str] = None, config_section: str = "looker"):
config_path = config_file_path if config_file_path \
else utils.assemble_path(... | code_fim | hard | {
"lang": "python",
"repo": "jmbrooks/dbtea",
"path": "/dbtea/clients/bi/looker/base.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> return self.lookml_data.get("sets")
def create_lookml_model(
model_name: str,
output_to: str = "stdout",
connection: str = None,
label: str = None,
includes: list = None,
explores: List[dict] = None,
access_grants: List[dict] = None,
tests: List[dict] = None,
... | code_fim | hard | {
"lang": "python",
"repo": "jmbrooks/dbtea",
"path": "/dbtea/clients/bi/looker/base.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: NoSyu/VHUCM path: /src/utils/convert.py
import torch
def to_var(x, on_cpu=False, gpu_id=None, async_var=False):
<|fim_suffix|>
def to_tensor(x):
if torch.cuda.is_available():
x = x.cpu()
return x.data<|fim_middle|> if torch.cuda.is_available() and not on_cpu:
x = x.cu... | code_fim | medium | {
"lang": "python",
"repo": "NoSyu/VHUCM",
"path": "/src/utils/convert.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if torch.cuda.is_available():
x = x.cpu()
return x.data<|fim_prefix|># repo: NoSyu/VHUCM path: /src/utils/convert.py
import torch
def to_var(x, on_cpu=False, gpu_id=None, async_var=False):
if torch.cuda.is_available() and not on_cpu:
x = x.cuda(gpu_id, async_var)
return ... | code_fim | easy | {
"lang": "python",
"repo": "NoSyu/VHUCM",
"path": "/src/utils/convert.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: the-tale/the-tale path: /src/tt_bank/tt_bank/operations.py
import logging
import datetime
from psycopg2.extras import Json as PGJson
from tt_web import log
from tt_web import postgresql as db
from . import logic
from . import objects
from . import relations
from . import exceptions
async de... | code_fim | hard | {
"lang": "python",
"repo": "the-tale/the-tale",
"path": "/src/tt_bank/tt_bank/operations.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
async def _remove_transactions(execute, arguments):
transactions_ids = arguments['transactions_ids']
await execute('DELETE FROM transactions WHERE id IN %(ids)s', {'ids': tuple(transactions_ids)})
await execute('DELETE FROM operations WHERE transaction IN %(ids)s', {'ids': tuple(transactions... | code_fim | hard | {
"lang": "python",
"repo": "the-tale/the-tale",
"path": "/src/tt_bank/tt_bank/operations.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bogdanvuk/pygears path: /docs/manual/gears/examples/fmap_queue.py
from pygears.lib import drv, check, mul, fmap
f<|fim_suffix|>p(f=mul(2)) \
| check(ref=[[0, 2, 4, 6, 8]])<|fim_middle|>rom pygears.typing import Queue, Uint
drv(t=Queue[Uint[16]], seq=[[0, 1, 2, 3, 4]]) \
| fma | code_fim | medium | {
"lang": "python",
"repo": "bogdanvuk/pygears",
"path": "/docs/manual/gears/examples/fmap_queue.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>p(f=mul(2)) \
| check(ref=[[0, 2, 4, 6, 8]])<|fim_prefix|># repo: bogdanvuk/pygears path: /docs/manual/gears/examples/fmap_queue.py
from pygears.lib import drv, check, mul, fmap
f<|fim_middle|>rom pygears.typing import Queue, Uint
drv(t=Queue[Uint[16]], seq=[[0, 1, 2, 3, 4]]) \
| fma | code_fim | medium | {
"lang": "python",
"repo": "bogdanvuk/pygears",
"path": "/docs/manual/gears/examples/fmap_queue.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: 50417/phd path: /util/me.db/spreadsheet.py
import gspread
import os
from oauth2client.service_account import ServiceAccountCredentials
from gspread.exceptions import WorksheetNotFound
from typing import List
def csv_to_worksheet(worksheet, list_of_lists):
""" set worksheet values from list... | code_fim | hard | {
"lang": "python",
"repo": "50417/phd",
"path": "/util/me.db/spreadsheet.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> scope = ['https://spreadsheets.google.com/feeds',
'https://www.googleapis.com/auth/drive']
credentials = ServiceAccountCredentials.from_json_keyfile_name(
os.path.expanduser(keypath), scope)
return gspread.authorize(credentials)<|fim_prefix|># repo: 50417/phd path: /uti... | code_fim | hard | {
"lang": "python",
"repo": "50417/phd",
"path": "/util/me.db/spreadsheet.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># Generate five translations with top-k sampling:
fr_bin = en2fr.generate(en_bin, beam=5, sampling=True, sampling_topk=20)
assert len(fr_bin) == 5
# Convert one of the samples to a string and detokenize
fr_sample = fr_bin[0]['tokens']
fr_bpe = en2fr.string(fr_sample)
fr_toks = en2fr.remove_bpe(fr_bpe)
fr... | code_fim | medium | {
"lang": "python",
"repo": "5l1v3r1/En_francais_si_vous_plait-",
"path": "/translate-fr.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: 5l1v3r1/En_francais_si_vous_plait- path: /translate-fr.py
# fairseq translation
# using the model from the paper Scaling Neural Machine Translation:
# https://pytorch.org/hub/pytorch_fairseq_translation/
<|fim_suffix|># Manually apply BPE:
en_bpe = en2fr.apply_bpe(en_toks)
assert en_bpe == 'H@@ ... | code_fim | hard | {
"lang": "python",
"repo": "5l1v3r1/En_francais_si_vous_plait-",
"path": "/translate-fr.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># Translate with beam search:
fr = en2fr.translate('Hello world!', beam=5)
assert fr == 'Bonjour à tous !'
# Manually tokenize:
en_toks = en2fr.tokenize('Hello world!')
assert en_toks == 'Hello world !'
# Manually apply BPE:
en_bpe = en2fr.apply_bpe(en_toks)
assert en_bpe == 'H@@ ello world !'
# Manual... | code_fim | hard | {
"lang": "python",
"repo": "5l1v3r1/En_francais_si_vous_plait-",
"path": "/translate-fr.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # function: find all childcare service based on the postcode
# input: [string] postcode
# output: [QuerySet] a list of Childcare object
lst = Childcare.objects.filter(postcode=postcode)
return lst<|fim_prefix|># repo: sdsantosh86/Careforyou-Industry-Experience-Project path: /1.4 Sourc... | code_fim | medium | {
"lang": "python",
"repo": "sdsantosh86/Careforyou-Industry-Experience-Project",
"path": "/1.4 Source Code/careforyou-master/careforyou/API/search.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sdsantosh86/Careforyou-Industry-Experience-Project path: /1.4 Source Code/careforyou-master/careforyou/API/search.py
from careforyou.Model.models import Childcare
from django.db.models import Q
def get_childcare_by_suburb_and_language(suburb, language):
# function: find all childcare servic... | code_fim | medium | {
"lang": "python",
"repo": "sdsantosh86/Careforyou-Industry-Experience-Project",
"path": "/1.4 Source Code/careforyou-master/careforyou/API/search.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def reverse(self):
'''
>>> for ins in MotexSegmentHelper(storage).reverse():
... print str(ins)
...
0x04 <MotexSegment> seg
0x03 <MotexSegment> seg
0x02 <MotexSegment> seg
0x01 <MotexSegment> seg
'''
curr = self._last
... | code_fim | hard | {
"lang": "python",
"repo": "finixbit/motex",
"path": "/motex/core/segment.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: finixbit/motex path: /motex/core/segment.py
import motex.common.hextools as hextools
from motex.common.constants import _DEFAULT_METADATA_KEY, _DEFAULT_SEGMENTS_KEY
from motex.storage import MotexStorageTracker
from motex.common.base import HelperBase
class MotexSegment:
next_ = None
pr... | code_fim | hard | {
"lang": "python",
"repo": "finixbit/motex",
"path": "/motex/core/segment.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == "__main__":
words = raw_input("input what you want ")
freedom_word2(words)<|fim_prefix|># repo: xiashuijun/Projects-1 path: /Freedom_word2.py
# -*- coding: utf-8 -*-
def freedom_word2(words):
contents = open("filtered_words.txt").read()
contents = contents.split()
for word in conten... | code_fim | hard | {
"lang": "python",
"repo": "xiashuijun/Projects-1",
"path": "/Freedom_word2.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: xiashuijun/Projects-1 path: /Freedom_word2.py
# -*- coding: utf-8 -*-
def freedom_word2(words):
contents = open("filtered_words.txt").read()
contents = contents.split()
<|fim_suffix|> # 如果是敏感词中的英文
if word == "love" or word == "sex" or word == "jiangge":
words = words.replace(word, '*... | code_fim | medium | {
"lang": "python",
"repo": "xiashuijun/Projects-1",
"path": "/Freedom_word2.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dgstangel/sca-codeinsight-reports-spdx path: /report_artifacts.py
'''
Copyright 2021 Flexera Software LLC
See LICENSE.TXT for full license text
SPDX-License-Identifier: MIT
Author : sgeary
Created On : Tue Apr 27 2021
File : report_artifacts.py
'''
import logging
from datetime import datetime... | code_fim | hard | {
"lang": "python",
"repo": "dgstangel/sca-codeinsight-reports-spdx",
"path": "/report_artifacts.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> report_ptr.write("Relationship: %s DESCRIBES %s\n" %("SPDXRef-DOCUMENT", packageData["SPDXID"] ))
report_ptr.write("Relationship: %s DESCRIBED_BY %s\n" %(packageData["SPDXID"], "SPDXRef-DOCUMENT" ))
for file in packageFiles:
report_ptr.write("Relations... | code_fim | hard | {
"lang": "python",
"repo": "dgstangel/sca-codeinsight-reports-spdx",
"path": "/report_artifacts.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> summaryTextFile = projectNameForFile + "-" + topLevelProjectID + "-with-children-" + reportName.replace(" ", "_") + "-summary-" + fileNameTimeStamp + ".txt"
logger.debug("summaryTextFile: %s" %summaryTextFile)
try:
report_ptr = open(summaryTextFile,"w")
except:
logger.erro... | code_fim | hard | {
"lang": "python",
"repo": "dgstangel/sca-codeinsight-reports-spdx",
"path": "/report_artifacts.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: noobpk/frida-ios-hook path: /frida-ios-hook/core/utils/dump-memory/utils.py
import sys
import string
import logging
import os
import re
# Progress bar function
def printProgress(times, total, prefix='', suffix='', decimals=2, bar=100):
filled = int(round(bar * times / float(total... | code_fim | medium | {
"lang": "python",
"repo": "noobpk/frida-ios-hook",
"path": "/frida-ios-hook/core/utils/dump-memory/utils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># Normalize thw namo of application works better on frida
def normalize_app_name(appName: str):
try:
appName = int(appName)
except ValueError:
pass
return appName<|fim_prefix|># repo: noobpk/frida-ios-hook path: /frida-ios-hook/core/utils/dump-memory/utils.py
import sys
... | code_fim | hard | {
"lang": "python",
"repo": "noobpk/frida-ios-hook",
"path": "/frida-ios-hook/core/utils/dump-memory/utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: deepak-dt/contrail-controller path: /src/container/kube-manager/kube_manager/tests/vnc/test_vnc_kubernetes.py
#
# Copyright (c) 2017 Juniper Networks, Inc. All rights reserved.
#
<|fim_suffix|>class VncKubernetesTest(unittest.TestCase):
def setUp(self):
pass
def tearDown(self):
... | code_fim | medium | {
"lang": "python",
"repo": "deepak-dt/contrail-controller",
"path": "/src/container/kube-manager/kube_manager/tests/vnc/test_vnc_kubernetes.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>class VncKubernetesTest(unittest.TestCase):
def setUp(self):
pass
def tearDown(self):
pass
def test_vnc_kubernetes_init(self):
pass<|fim_prefix|># repo: deepak-dt/contrail-controller path: /src/container/kube-manager/kube_manager/tests/vnc/test_vnc_kubernetes.py
#
# ... | code_fim | medium | {
"lang": "python",
"repo": "deepak-dt/contrail-controller",
"path": "/src/container/kube-manager/kube_manager/tests/vnc/test_vnc_kubernetes.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> cfg = scene_id_to_cfg[scene_id]
scene = cfg.build(
class_config, self.tmp_dir, use_transformers=False)
return scene
# build and run each AnalyzerConfig for each scene group
for a in self.config.analyzers:
for group_name, grou... | code_fim | hard | {
"lang": "python",
"repo": "azavea/raster-vision",
"path": "/rastervision_core/rastervision/core/rv_pipeline/rv_pipeline.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: azavea/raster-vision path: /rastervision_core/rastervision/core/rv_pipeline/rv_pipeline.py
import logging
from os.path import join
import tempfile
import shutil
from typing import TYPE_CHECKING, Optional, List
from functools import lru_cache
import click
import numpy as np
from tqdm.auto import ... | code_fim | hard | {
"lang": "python",
"repo": "azavea/raster-vision",
"path": "/rastervision_core/rastervision/core/rv_pipeline/rv_pipeline.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def get_train_labels(self, window: Box, scene: Scene) -> Labels:
"""Return the training labels in a window for a scene.
Returns:
Labels that lie within window
"""
raise NotImplementedError()
def chip(self, split_ind: int = 0, num_splits: int = 1):
... | code_fim | hard | {
"lang": "python",
"repo": "azavea/raster-vision",
"path": "/rastervision_core/rastervision/core/rv_pipeline/rv_pipeline.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: berz/lossebladjes path: /db_tool.py
#!venv/bin/python
import sys
import os
import imp
from migrate.versioning import api
from lossebladjes.database import db
from config import SQLALCHEMY_DATABASE_URI
from config import SQLALCHEMY_MIGRATE_REPO
if len(sys.argv) < 2 or sys.argv[1] not in ["migra... | code_fim | hard | {
"lang": "python",
"repo": "berz/lossebladjes",
"path": "/db_tool.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>elif sys.argv[1] == 'downgrade':
v = api.db_version(SQLALCHEMY_DATABASE_URI, SQLALCHEMY_MIGRATE_REPO)
api.downgrade(SQLALCHEMY_DATABASE_URI, SQLALCHEMY_MIGRATE_REPO, v - 1)
print 'Current database version: ' + str(api.db_version(SQLALCHEMY_DATABASE_URI, SQLALCHEMY_MIGRATE_REPO))
elif sys.argv... | code_fim | hard | {
"lang": "python",
"repo": "berz/lossebladjes",
"path": "/db_tool.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> print('Shutting down Example module') # меняем название модуля для логов
service = ExampleModule()
service.Run()<|fim_prefix|># repo: ostis-apps/ostis-geography path: /templates/agents/py/services/ExampleModule/ExampleModule.py
from common import ScModule, ScKeynodes, ScPythonEventType
from Get... | code_fim | hard | {
"lang": "python",
"repo": "ostis-apps/ostis-geography",
"path": "/templates/agents/py/services/ExampleModule/ExampleModule.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ostis-apps/ostis-geography path: /templates/agents/py/services/ExampleModule/ExampleModule.py
from common import ScModule, ScKeynodes, ScPythonEventType
from GetDefinitionAgent import GetDefinitionAgent # импорт агента
from sc import *
class ExampleModule(ScModule):
def __init__(self):
... | code_fim | hard | {
"lang": "python",
"repo": "ostis-apps/ostis-geography",
"path": "/templates/agents/py/services/ExampleModule/ExampleModule.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: alaincoletta/pairtree path: /util/remove_high_vaf.py
# Find variants whose maximum likelihood estimate of phi are implausibly
# large (i.e., well over 1), indicating something is wrong with such variants.
# Render these as garbage.
import argparse
import numpy as np
import scipy.stats
import jso... | code_fim | hard | {
"lang": "python",
"repo": "alaincoletta/pairtree",
"path": "/util/remove_high_vaf.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Note that SSMs are modified in-place.
alpha0 = 1
beta0 = 1
# To flag only extreme cases, set this above 1.0 -- e.g., to 1.5.
phi_mle_threshold = 1.0
bad = []
bad_count = 0
total_count = 0
for vid, V in ssms.items():
phi_alpha = alpha0 + V['var_reads']
phi_beta = beta0 + np.ma... | code_fim | hard | {
"lang": "python",
"repo": "alaincoletta/pairtree",
"path": "/util/remove_high_vaf.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> n = len(self.plane.points)
# Partition into n/m partitions of size at most m
grahams = []
for chunk in chunks(range(n), m):
markers = [self.markers.addPointMarker(i, (0, 50, 200)) for i in chunk]
yield
subplane = Subplane(self.plane, ch... | code_fim | hard | {
"lang": "python",
"repo": "dilliwal11/PyConvexHullDemo",
"path": "/Algorithms/ChansAlgorithm.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dilliwal11/PyConvexHullDemo path: /Algorithms/ChansAlgorithm.py
from HullAlgorithm import HullAlgorithm
from Subplane import Subplane
from Submarkers import Submarkers
from GrahamScan import GrahamScan
from math import ceil
class ChansAlgorithm(HullAlgorithm):
"""
Implements Chan's algor... | code_fim | hard | {
"lang": "python",
"repo": "dilliwal11/PyConvexHullDemo",
"path": "/Algorithms/ChansAlgorithm.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> break
for k in range(H):
p = finalhull[-1]
thisGraham = None
qbestMarker = None
qbest = None
qlMarker = None
for graham in grahams:
if graham == lastGraham:
# If we're tryi... | code_fim | hard | {
"lang": "python",
"repo": "dilliwal11/PyConvexHullDemo",
"path": "/Algorithms/ChansAlgorithm.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>ons over de financieel situatie
3. linken in koppeltabel content
4. recommandaties geven
"""<|fim_prefix|># repo: StanHaakman/Business-rules-voor-RE path: /Rules/Collab_rules.py
"""
pseudocode for collab filtering
1. visitors en sessions pakken
2a type visitor
2b/ even<|fim_middle|>ts pakken
2c/ similar... | code_fim | medium | {
"lang": "python",
"repo": "StanHaakman/Business-rules-voor-RE",
"path": "/Rules/Collab_rules.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: StanHaakman/Business-rules-voor-RE path: /Rules/Collab_rules.py
"""
pseudocode for collab filtering
1. visitors en sessions pakken
2a type visitor
2b/ even<|fim_suffix|>n producten
2f/ deepselling meer verkopen aan soort gelijken producten
2g/ kijken naar sessions over de financieel situatie
3. ... | code_fim | medium | {
"lang": "python",
"repo": "StanHaakman/Business-rules-voor-RE",
"path": "/Rules/Collab_rules.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: SupriyoDam/DS-450-python path: /LinkedList/159 Find pairs with given sum in doubly ll.py
# Python3 program to find a pair with
class Node:
def __init__(self, x):
self.data = x
self.next = None
self.prev = None
def pairSum(head, x):
head1 = head
head2 = head
<|fim_suffix|> else:
h... | code_fim | hard | {
"lang": "python",
"repo": "SupriyoDam/DS-450-python",
"path": "/LinkedList/159 Find pairs with given sum in doubly ll.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return head
# Driver code
if __name__ == '__main__':
head = None
head = insert(head, 9)
head = insert(head, 8)
head = insert(head, 6)
head = insert(head, 5)
head = insert(head, 4)
head = insert(head, 2)
head = insert(head, 1)
x = 7
pairSum(head, x)<|fim_prefix|># repo: SupriyoDam/DS-450-pyt... | code_fim | hard | {
"lang": "python",
"repo": "SupriyoDam/DS-450-python",
"path": "/LinkedList/159 Find pairs with given sum in doubly ll.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
@pytest.mark.parametrize(
"fname",
[
"TestOrcFile.NoIndStrm.StructWithNoNulls.orc",
"TestOrcFile.NoIndStrm.StructAndIntWithNulls.orc",
"TestOrcFile.NoIndStrm.StructAndIntWithNulls.TwoStripes.orc",
"TestOrcFile.NoIndStrm.IntWithNulls.orc",
],
)
def test_no_row_g... | code_fim | hard | {
"lang": "python",
"repo": "rapidsai/cudf",
"path": "/python/cudf/cudf/tests/test_orc.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rapidsai/cudf path: /python/cudf/cudf/tests/test_orc.py
[
rd.choice([None, np.random.randint(1, 3)])
for z in range(np.random.randint(1, 3))
]
for z in range(np.random.ra... | code_fim | hard | {
"lang": "python",
"repo": "rapidsai/cudf",
"path": "/python/cudf/cudf/tests/test_orc.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> lvl3_list = [
rd.choice(
[
None,
[
[
[
rd.choice([None, np.random.randint(1, 3)])
for z in range(np.random.randint(1, 3))
]
... | code_fim | hard | {
"lang": "python",
"repo": "rapidsai/cudf",
"path": "/python/cudf/cudf/tests/test_orc.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> return GPIO.input(self.CTRLS["Previous"])
def getActionButton(self):
return GPIO.input(self.CTRLS["Action"])
def getSystemButton(self):
return GPIO.input(self.CTRLS["System"])<|fim_prefix|># repo: The-Blue-Sakura/ARView path: /src/Input.py
import RPi.GPIO as GPIO
import ... | code_fim | hard | {
"lang": "python",
"repo": "The-Blue-Sakura/ARView",
"path": "/src/Input.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: The-Blue-Sakura/ARView path: /src/Input.py
import RPi.GPIO as GPIO
import time
class InputManager():
inputType = 1 # Input Types: 0/1 - Vision/Button
def __init__(self):
print("Input Manager Init")
if(InputManager.inputType == 0):
self.stream = None # Cam... | code_fim | hard | {
"lang": "python",
"repo": "The-Blue-Sakura/ARView",
"path": "/src/Input.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return buttons
def getControl(self, button):
return(list(self.CTRLS.keys())[list(self.CTRLS.values()).index(16)])
def getNextButton(self):
return GPIO.input(self.CTRLS["Next"])
def getPreviousButton(self):
return GPIO.input(self.CTRLS["Previous"])
def ge... | code_fim | hard | {
"lang": "python",
"repo": "The-Blue-Sakura/ARView",
"path": "/src/Input.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: 994374821/maskrcnn_body25 path: /detectron/utils/blob.py
# Copyright (c) 2017-present, Facebook, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www... | code_fim | hard | {
"lang": "python",
"repo": "994374821/maskrcnn_body25",
"path": "/detectron/utils/blob.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def zeros(shape, int32=False):
"""Return a blob of all zeros of the given shape with the correct float or
int data type.
"""
return np.zeros(shape, dtype=np.int32 if int32 else np.float32)
def ones(shape, int32=False):
"""Return a blob of all ones of the given shape with the correct... | code_fim | hard | {
"lang": "python",
"repo": "994374821/maskrcnn_body25",
"path": "/detectron/utils/blob.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def py_op_copy_blob(blob_in, blob_out):
"""Copy a numpy ndarray given as blob_in into the Caffe2 CPUTensor blob
given as blob_out. Supports float32 and int32 blob data types. This function
is intended for copying numpy data into a Caffe2 blob in PythonOps.
"""
# Some awkward voodoo req... | code_fim | hard | {
"lang": "python",
"repo": "994374821/maskrcnn_body25",
"path": "/detectron/utils/blob.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jgiha/DjangoTest path: /senseIntelsmpl/app.py
#!flask/bin/python
from flask import Flask, jsonify, make_response
from collections import defaultdict
from sense_hat import SenseHat
from app.models import *
#from flask.ext.cors import CORS
import time
import os
from gps import *
from time import *
... | code_fim | hard | {
"lang": "python",
"repo": "jgiha/DjangoTest",
"path": "/senseIntelsmpl/app.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
@app.route('/api/v1.1/sensor/<times>', methods=['GET'])
def get_sensorReadingsAvg(times):
humidity = []
temp = []
pressure = []
orient = []
orientRaw = []
compass = []
compassRaw = []
gyro = []
gyroRaw = []
accel = []
accelRaw = []
sensorList = defaultdict(... | code_fim | hard | {
"lang": "python",
"repo": "jgiha/DjangoTest",
"path": "/senseIntelsmpl/app.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: shabeer3508/ChatterBot path: /chatterbot/adapters/logic/matching.py
'''
A collection of methods used to find the closest known match
to an existing statement in the database.
'''
def closest(text, database):
<|fim_suffix|> # Get the closest matching statement from the database
return proc... | code_fim | hard | {
"lang": "python",
"repo": "shabeer3508/ChatterBot",
"path": "/chatterbot/adapters/logic/matching.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Takes a statement from the current conversation and a database instance.
Returns the closest known statement that matches by string comparison.
"""
from fuzzywuzzy import process
# Check if an exact match exists
if database.find(text):
return text
# Get the cl... | code_fim | medium | {
"lang": "python",
"repo": "shabeer3508/ChatterBot",
"path": "/chatterbot/adapters/logic/matching.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tomofu74/image_search path: /etl/main.py
import os
import glob
from metaflow import FlowSpec, step
from lib.es.document import Document
from lib.es.index import Index
from step.extract.extract import *
from lib.feature.src.embedding import *
from lib.feature.src.phash import *
from lib.feature.sr... | code_fim | hard | {
"lang": "python",
"repo": "tomofu74/image_search",
"path": "/etl/main.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> PATH = "/app/images"
l = glob.glob(os.path.join(PATH, '*.jpg'))
features = None
for filepath in l:
try:
if features is None:
features = get_akaze_feature(filepath)
else :
features = np.appe... | code_fim | hard | {
"lang": "python",
"repo": "tomofu74/image_search",
"path": "/etl/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> try:
features = get_akaze_feature(filepath[0])
features = kmeans_model.predict(features)
for f in features:
d[f] = d[f] + 1
except:
pass
doc.update(d)
res = d... | code_fim | hard | {
"lang": "python",
"repo": "tomofu74/image_search",
"path": "/etl/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bfmat/LaneDetection path: /model/stop_sign_model.py
from keras.layers import Dense, Flatten
from keras.layers.convolutional import Conv2D
from keras.models import Sequential
# A very simple convolutional neural network model that will be used to predict the probability of the presence of a
# st... | code_fim | hard | {
"lang": "python",
"repo": "bfmat/LaneDetection",
"path": "/model/stop_sign_model.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># Main function to create model
def get_model(window_size):
# Hyperbolic tangent activation function
activation = 'tanh'
# Initialize the Sequential model
model = Sequential()
# Two convolutional layers
model.add(Conv2D(
input_shape=(window_size, window_size, 3),
... | code_fim | medium | {
"lang": "python",
"repo": "bfmat/LaneDetection",
"path": "/model/stop_sign_model.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Initialize the Sequential model
model = Sequential()
# Two convolutional layers
model.add(Conv2D(
input_shape=(window_size, window_size, 3),
kernel_size=4,
filters=8,
activation=activation
))
model.add(Conv2D(
kernel_size=2,
filter... | code_fim | medium | {
"lang": "python",
"repo": "bfmat/LaneDetection",
"path": "/model/stop_sign_model.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> dr = self.driver
dr.get(url)
elems = dr.find_elements_by_xpath(self.xpath["absolute_article_path"])
prev_cnt = 0
while len(elems) < self.limit and len(elems) != prev_cnt:
self._load_more()
prev_cnt = len(elems)
elems = dr.find_ele... | code_fim | hard | {
"lang": "python",
"repo": "mstrechen/news-scraper",
"path": "/src/scraping/newslists_scrapers/ukrnet.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mstrechen/news-scraper path: /src/scraping/newslists_scrapers/ukrnet.py
from queue import Queue
from datetime import datetime, timedelta
from .INewslistScraper import INewslistScraper
from .. import article
from .. import driver
class Scraper(INewslistScraper):
def __init__(self, limit: ... | code_fim | hard | {
"lang": "python",
"repo": "mstrechen/news-scraper",
"path": "/src/scraping/newslists_scrapers/ukrnet.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.driver.execute_script("window.scrollTo(0, document.body.scrollHeight);")
def _date_from_ukr_to_datetime(self, s: str, index: int):
mon = s[s.find(' ') + 1 :]
day = int(s[: s.find(' ')])
return datetime(datetime.today().year, self.monthshorts.index(mon) + 1, \
... | code_fim | hard | {
"lang": "python",
"repo": "mstrechen/news-scraper",
"path": "/src/scraping/newslists_scrapers/ukrnet.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: quantmatt/Scientific-Report-Generator path: /ResultTable.py
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import six
class ResultTable:
""" A table class that hold calcualted result information """
def __init__(self):
""" Init function for the Result... | code_fim | hard | {
"lang": "python",
"repo": "quantmatt/Scientific-Report-Generator",
"path": "/ResultTable.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.table = t
def set_columns(self, column_names):
""" Sets the names of the columns
Args:
column_names (str): The array of names for the columns
"""
for name in column_names:
... | code_fim | hard | {
"lang": "python",
"repo": "quantmatt/Scientific-Report-Generator",
"path": "/ResultTable.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: menglongyue/PdRSCD path: /ppcd/models/dsifn.py
import paddle
import paddle.nn as nn
import paddle.nn.functional as F
from paddle.vision.models import vgg16
from ppcd.models.layers import CAM, SAM
class Vgg16Base(nn.Layer):
# Vgg16 feature extraction backbone
def __init__(self, in_channe... | code_fim | hard | {
"lang": "python",
"repo": "menglongyue/PdRSCD",
"path": "/ppcd/models/dsifn.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class DSIFN(nn.Layer):
"""
The DSIFN implementation based on PaddlePaddle.
The original article refers to
Cz, A , et al. "A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sensing images"
(https://www.sciencedirect.com/science/article... | code_fim | hard | {
"lang": "python",
"repo": "menglongyue/PdRSCD",
"path": "/ppcd/models/dsifn.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yutiansut/platform-client-python path: /tests/cli/formatters/test_blob_formatters.py
from datetime import datetime
from typing import List, Union, cast
import pytest
from neuromation.api import Action, BlobListing, BucketListing, PrefixListing
from neuromation.cli.formatters.blob_storage import... | code_fim | hard | {
"lang": "python",
"repo": "yutiansut/platform-client-python",
"path": "/tests/cli/formatters/test_blob_formatters.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> formatter = LongBlobFormatter(human_readable=True, color=False)
assert list(formatter(self.list_results)) == [
" 1.0K 2018-01-01 14:00:00 blob:neuro-public-bucket/file1024.txt",
" 1000.0K 2018-01-01 00:00:00 blob:neuro-public-bucket/file_bigger.txt",
... | code_fim | hard | {
"lang": "python",
"repo": "yutiansut/platform-client-python",
"path": "/tests/cli/formatters/test_blob_formatters.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __init__(self,):
_RIOT.__init__(self)
self.name = "RIOTS"
self.specie = 'verbs'
self.basic = "riot"
self.jsondata = {}<|fim_prefix|># repo: cash2one/xai path: /xai/brain/wordbase/verbs/_riots.py
from xai.brain.wordbase.verbs._riot import _RIOT
<|fim_middle|>#calss header
class _RIOTS(_... | code_fim | easy | {
"lang": "python",
"repo": "cash2one/xai",
"path": "/xai/brain/wordbase/verbs/_riots.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cash2one/xai path: /xai/brain/wordbase/verbs/_riots.py
from xai.brain.wordbase.verbs._riot import _RIOT
<|fim_suffix|> _RIOT.__init__(self)
self.name = "RIOTS"
self.specie = 'verbs'
self.basic = "riot"
self.jsondata = {}<|fim_middle|>#calss header
class _RIOTS(_RIOT, ):
def __init__(... | code_fim | medium | {
"lang": "python",
"repo": "cash2one/xai",
"path": "/xai/brain/wordbase/verbs/_riots.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>['TLaBeL', 'openmm_simulate', '1', '1599750189.0', 'Thu Sep 10 11:03:09 2020', '/gpfs/alpine/csc299/scratch/iyakushin/Test3/entk_cvae_md/MD_exps/fs-pep/run_openmm.py', '104\n']
ignore_index = True
'''<|fim_prefix|># repo: DeepDriveMD/DeepDriveMD-streaming path: /analysis/timers.py
import glob
import... | code_fim | hard | {
"lang": "python",
"repo": "DeepDriveMD/DeepDriveMD-streaming",
"path": "/analysis/timers.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: DeepDriveMD/DeepDriveMD-streaming path: /analysis/timers.py
import glob
import subprocess
import pandas as pd
import os
session = subprocess.getstatusoutput('ls -d ../re.* | cut -d "/" -f2')[1]
dir = f'/p/gpfs1/yakushin/radical.pilot.sandbox/{session}/pilot.0000'
<|fim_suffix|>for s in stdouts:... | code_fim | hard | {
"lang": "python",
"repo": "DeepDriveMD/DeepDriveMD-streaming",
"path": "/analysis/timers.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
pf['label'] = labels
pf['start'] = starts
pf['gps'] = gpss
pf['date'] = dates
pf['file'] = files
pf['line'] = nlines
pf['unit'] = units
pf['time'] = times
pf.to_csv(fn)
'''
print(subprocess.getstatusoutput('/gpfs/alpine/scratch/iyakushin/csc299/radical.pilot.sandbox/$(ls -tr /gpfs/alpine/scratch/iyaku... | code_fim | hard | {
"lang": "python",
"repo": "DeepDriveMD/DeepDriveMD-streaming",
"path": "/analysis/timers.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: eyobofficial/Gebeya-Schedule-Bot path: /accounts/models.py
from uuid import uuid4
from django.contrib.auth.models import AbstractUser
from django.db import models
<|fim_suffix|> def __str__(self):
return self.username<|fim_middle|>class CustomUser(AbstractUser):
id = models.UUID... | code_fim | medium | {
"lang": "python",
"repo": "eyobofficial/Gebeya-Schedule-Bot",
"path": "/accounts/models.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return self.username<|fim_prefix|># repo: eyobofficial/Gebeya-Schedule-Bot path: /accounts/models.py
from uuid import uuid4
from django.contrib.auth.models import AbstractUser
from django.db import models
class CustomUser(AbstractUser):
<|fim_middle|> id = models.UUIDField(primary_key=True,... | code_fim | medium | {
"lang": "python",
"repo": "eyobofficial/Gebeya-Schedule-Bot",
"path": "/accounts/models.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __str__(self):
return self.username<|fim_prefix|># repo: eyobofficial/Gebeya-Schedule-Bot path: /accounts/models.py
from uuid import uuid4
from django.contrib.auth.models import AbstractUser
from django.db import models
<|fim_middle|>
class CustomUser(AbstractUser):
id = models.UUID... | code_fim | medium | {
"lang": "python",
"repo": "eyobofficial/Gebeya-Schedule-Bot",
"path": "/accounts/models.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> dependencies = [
("froide_food", "0006_auto_20180612_1231"),
]
operations = [
migrations.RunPython(store_last_status),
]<|fim_prefix|># repo: okfde/froide-food path: /froide_food/migrations/0007_auto_20180618_1217.py
# -*- coding: utf-8 -*-
# Generated by Django 1.11.13 o... | code_fim | hard | {
"lang": "python",
"repo": "okfde/froide-food",
"path": "/froide_food/migrations/0007_auto_20180618_1217.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: okfde/froide-food path: /froide_food/migrations/0007_auto_20180618_1217.py
# -*- coding: utf-8 -*-
# Generated by Django 1.11.13 on 2018-06-18 10:17
from __future__ import unicode_literals
from django.db import migrations
<|fim_suffix|>
class Migration(migrations.Migration):
dependencies ... | code_fim | hard | {
"lang": "python",
"repo": "okfde/froide-food",
"path": "/froide_food/migrations/0007_auto_20180618_1217.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
dependencies = [
("froide_food", "0006_auto_20180612_1231"),
]
operations = [
migrations.RunPython(store_last_status),
]<|fim_prefix|># repo: okfde/froide-food path: /froide_food/migrations/0007_auto_20180618_1217.py
# -*- coding: utf-8 -*-
# Generated by Django 1.11.13 ... | code_fim | hard | {
"lang": "python",
"repo": "okfde/froide-food",
"path": "/froide_food/migrations/0007_auto_20180618_1217.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>E_functions = [
('EAPOLClientConfigurationCopyProfiles', '@@'),
('EAPOLClientConfigurationCopyAllLoginWindowProfiles', '@@'),
('EAPOLClientConfigurationCopyAllSystemProfiles', '@@'),
('EAPOLClientConfigurationCreate', '@^@'),
('EAP... | code_fim | medium | {
"lang": "python",
"repo": "dockerizeme/dockerizeme",
"path": "/hard-gists/8ad859f30438f3be149fe9751391d037/snippet.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dockerizeme/dockerizeme path: /hard-gists/8ad859f30438f3be149fe9751391d037/snippet.py
# This was all run from user space
# I haven't tested it with root
# ... but it didn't prompt for any permissions under userspace ^_^
# Tested on 10.11.5
import objc
from Foundation import NSBundle
EAP8021X_bun... | code_fim | hard | {
"lang": "python",
"repo": "dockerizeme/dockerizeme",
"path": "/hard-gists/8ad859f30438f3be149fe9751391d037/snippet.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yodaos-project/rt-node path: /deps/jerryscript/tools/build.py
#!/usr/bin/env python
# Copyright JS Foundation and other contributors, http://js.foundation
#
# 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": "yodaos-project/rt-node",
"path": "/deps/jerryscript/tools/build.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if not os.path.isabs(arguments.builddir):
arguments.builddir = os.path.join(settings.PROJECT_DIR, arguments.builddir)
if arguments.clean and os.path.exists(arguments.builddir):
shutil.rmtree(arguments.builddir)
if not os.path.exists(arguments.builddir):
os.makedirs(ar... | code_fim | hard | {
"lang": "python",
"repo": "yodaos-project/rt-node",
"path": "/deps/jerryscript/tools/build.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
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