text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|>#this returns a list of actions to convert the source into the target
#it uses a buffer, stack, and output
#the input is reversed, so call it on [0 1 2 3 4 5] to read the input from left to right
def rearrange(source, tar):
inp = source[:]
target = tar[:]
inp.reverse()
stack = []
buf ... | code_fim | hard | {
"lang": "python",
"repo": "jbuckman/lstm-parser-with-beam-search",
"path": "/mtsystem/oracle/no_output/perm_re.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jbuckman/lstm-parser-with-beam-search path: /mtsystem/oracle/no_output/perm_re.py
'''
This can both find the list of actions (rearrange(source, target)) and apply a list of actions to an inpuit array
(reorder(source, actions))
Run in python 2.7
'''
def peek(listt):
temp = listt.pop()
l... | code_fim | hard | {
"lang": "python",
"repo": "jbuckman/lstm-parser-with-beam-search",
"path": "/mtsystem/oracle/no_output/perm_re.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> inp.reverse()
stack = []
buf = inp[:]
out = []
seq = []
count = 0
#limit the number of iterations tried
#not sure if this is a good idea, as it it isn't too nonlinear
while(target != out):
#print buf, stack, out
#print seq
#the current top of ... | code_fim | hard | {
"lang": "python",
"repo": "jbuckman/lstm-parser-with-beam-search",
"path": "/mtsystem/oracle/no_output/perm_re.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if not has_advanced_index:
# step2. Parse values
dtype = x.dtype
attrs['dtype'] = dtype
from .data_feeder import convert_dtype
if isinstance(values, (bool, int, float, complex)):
values = np.array([values]).astype(convert_dtype(dtype))
if ... | code_fim | hard | {
"lang": "python",
"repo": "PaddlePaddle/Paddle",
"path": "/python/paddle/fluid/variable_index.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: PaddlePaddle/Paddle path: /python/paddle/fluid/variable_index.py
axes.append(dim)
starts.append(start)
ends.append(end)
steps.append(step)
dim += 1
if slice_info.indexes:
if len(slice_info.indexes) != len(item):
raise IndexError(
... | code_fim | hard | {
"lang": "python",
"repo": "PaddlePaddle/Paddle",
"path": "/python/paddle/fluid/variable_index.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if start is None and end is None and step is None:
dim += 1
continue
step = 1 if step is None else step
if not isinstance(step, Variable) and step == 0:
raise ValueError(
"When assign a value to a pad... | code_fim | hard | {
"lang": "python",
"repo": "PaddlePaddle/Paddle",
"path": "/python/paddle/fluid/variable_index.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if normal_idx == 0:
combined_samples = vcf_line_in.vcf_line.split('\t')[normal_column] + '\t' + new_tumor_field
else:
combined_samples = new_tumor_field
line_out = '\t'.join(( vcf_line_in.chromosome, str(vcf_line_in.position), vcf_line_in.identifier... | code_fim | hard | {
"lang": "python",
"repo": "bioinform/somaticseq",
"path": "/somaticseq/utilities/reformat_VCF2SEQC2.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bioinform/somaticseq path: /somaticseq/utilities/reformat_VCF2SEQC2.py
#!/usr/bin/env python3
import sys, argparse, math, gzip, os, re
import somaticseq.genomicFileHandler.genomic_file_handlers as genome
parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter)
pa... | code_fim | hard | {
"lang": "python",
"repo": "bioinform/somaticseq",
"path": "/somaticseq/utilities/reformat_VCF2SEQC2.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Tyler-Carter/100-Days-of-Code path: /Day 17 - The Quiz Project/main(example).py
class User:
def __init__(self, user_id, username):
self.id = user_id
self.username = username
self.followers = 0
self.following = 0
<|fim_suffix|> user.followers += 1
... | code_fim | easy | {
"lang": "python",
"repo": "Tyler-Carter/100-Days-of-Code",
"path": "/Day 17 - The Quiz Project/main(example).py",
"mode": "psm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|> user.followers += 1
self.following += 1
user_1 = User("001","angela")
user_2 = User("002", "not_angela")
user_1.follow(user_2)
print(user_1.followers, user_1.following)
print(user_2.followers, user_2.following)<|fim_prefix|># repo: Tyler-Carter/100-Days-of-Code path: /Day 17 - The Quiz ... | code_fim | medium | {
"lang": "python",
"repo": "Tyler-Carter/100-Days-of-Code",
"path": "/Day 17 - The Quiz Project/main(example).py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Pratham82/Python-Programming path: /21. Unit testing/simple_script.py
'''
A simple script for printing numbers
'''
def func1():
<|fim_suffix|># When we run this program using pylint then we can get our code evaluted.
# It will be used when we'll be working with big projects to generate reports
#... | code_fim | medium | {
"lang": "python",
"repo": "Pratham82/Python-Programming",
"path": "/21. Unit testing/simple_script.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># When we run this program using pylint then we can get our code evaluted.
# It will be used when we'll be working with big projects to generate reports
# For execution: pylint filename.py<|fim_prefix|># repo: Pratham82/Python-Programming path: /21. Unit testing/simple_script.py
'''
A simple script for p... | code_fim | medium | {
"lang": "python",
"repo": "Pratham82/Python-Programming",
"path": "/21. Unit testing/simple_script.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> '''
func1 is simple methdo which shows the number which are entered inside.
'''
first_num = 1
second_num = 2
print(first_num)
print(second_num)
func1()
# When we run this program using pylint then we can get our code evaluted.
# It will be used when we'll be working with big... | code_fim | easy | {
"lang": "python",
"repo": "Pratham82/Python-Programming",
"path": "/21. Unit testing/simple_script.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: baduy9x/AlgorithmPractice path: /maximum_subarray_sum.py
#!/bin/python3
import math
import os
import random
import re
import sys
from sortedcollections import SortedSet
def binary_search(sorted_set, value):
if sorted_set[-1] <= value:
return -1
else:
start = 0
e... | code_fim | medium | {
"lang": "python",
"repo": "baduy9x/AlgorithmPractice",
"path": "/maximum_subarray_sum.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> q = int(input())
for q_itr in range(q):
nm = input().split()
n = int(nm[0])
m = int(nm[1])
a = list(map(int, input().rstrip().split()))
result = maximumSum(a, m)
fptr.write(str(result) + '\n')
fptr.close()<|fim_prefix|># repo: baduy9x/Algo... | code_fim | medium | {
"lang": "python",
"repo": "baduy9x/AlgorithmPractice",
"path": "/maximum_subarray_sum.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> m = int(nm[1])
a = list(map(int, input().rstrip().split()))
result = maximumSum(a, m)
fptr.write(str(result) + '\n')
fptr.close()<|fim_prefix|># repo: baduy9x/AlgorithmPractice path: /maximum_subarray_sum.py
#!/bin/python3
import math
import os
import random
impor... | code_fim | hard | {
"lang": "python",
"repo": "baduy9x/AlgorithmPractice",
"path": "/maximum_subarray_sum.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def __PackageSupportBuildPath__(package_path) -> None: ...
gen_py: Incomplete<|fim_prefix|># repo: facebook/pyre-check path: /stubs/typeshed/typeshed/stubs/pywin32/win32com/__init__.pyi
from _typeshed import Incomplete
__gen_path__: str
__build_path__: Incomplete
<|fim_middle|>def SetupEnvironment() -... | code_fim | easy | {
"lang": "python",
"repo": "facebook/pyre-check",
"path": "/stubs/typeshed/typeshed/stubs/pywin32/win32com/__init__.pyi",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: facebook/pyre-check path: /stubs/typeshed/typeshed/stubs/pywin32/win32com/__init__.pyi
from _typeshed import Incomplete
<|fim_suffix|>def __PackageSupportBuildPath__(package_path) -> None: ...
gen_py: Incomplete<|fim_middle|>__gen_path__: str
__build_path__: Incomplete
def SetupEnvironment() -... | code_fim | medium | {
"lang": "python",
"repo": "facebook/pyre-check",
"path": "/stubs/typeshed/typeshed/stubs/pywin32/win32com/__init__.pyi",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>#for i in range(min_key, max_key + 1): # ascending
for i in range(max_key, min_key - 1, -1): # descending
if cor.get(i):
c = cor[i]
else:
c = 0
if incor.get(i):
ic = incor[i]
else:
ic = 0
print (i, c, ic)
'''
scor = sorted(cor)
sincor = sorted(incor)
fo... | code_fim | medium | {
"lang": "python",
"repo": "langmead-lab/reference_flow-experiments",
"path": "/scripts/process_strat_results.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: langmead-lab/reference_flow-experiments path: /scripts/process_strat_results.py
cor = {42: 745621, 1: 27285, 40: 55352, 7: 2071, 30: 3386, 39: 12905, 22: 4525, 18: 1712, 6: 19175, 36: 3340, 17: 2066, 38: 6317, 24: 7403, 34: 2378, 27: 6012, 35: 3469, 31: 2753, 37: 6086, 25: 3308, 26: 7963, 12: 267... | code_fim | hard | {
"lang": "python",
"repo": "langmead-lab/reference_flow-experiments",
"path": "/scripts/process_strat_results.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bitlucky/erpnext_custom path: /erpnext/hr/utils.py
# Copyright (c) 2015, Frappe Technologies Pvt. Ltd. and Contributors
# License: GNU General Public License v3. See license.txt
from __future__ import unicode_literals
import frappe, erpnext
from frappe import _
from frappe.utils import formatdat... | code_fim | hard | {
"lang": "python",
"repo": "bitlucky/erpnext_custom",
"path": "/erpnext/hr/utils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def check_frequency_hit(from_date, to_date, frequency):
'''Return True if current date matches frequency'''
from_dt = get_datetime(from_date)
to_dt = get_datetime(to_date)
from dateutil import relativedelta
rd = relativedelta.relativedelta(to_dt, from_dt)
months = rd.months
if frequency == "Quarter... | code_fim | hard | {
"lang": "python",
"repo": "bitlucky/erpnext_custom",
"path": "/erpnext/hr/utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def make_eval_transform(args: argparse.Namespace) -> torch.nn.Module:
if args.eval_size is None:
resize_size = args.crop_size
else:
resize_size = args.eval_size
return StereoMatchingEvalPreset(
mean=args.norm_mean,
std=args.norm_std,
use_grayscale=args... | code_fim | hard | {
"lang": "python",
"repo": "pytorch/vision",
"path": "/references/depth/stereo/parsing.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>def make_eval_transform(args: argparse.Namespace) -> torch.nn.Module:
if args.eval_size is None:
resize_size = args.crop_size
else:
resize_size = args.eval_size
return StereoMatchingEvalPreset(
mean=args.norm_mean,
std=args.norm_std,
use_grayscale=args.... | code_fim | hard | {
"lang": "python",
"repo": "pytorch/vision",
"path": "/references/depth/stereo/parsing.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pytorch/vision path: /references/depth/stereo/parsing.py
import argparse
from functools import partial
import torch
from presets import StereoMatchingEvalPreset, StereoMatchingTrainPreset
from torchvision.datasets import (
CarlaStereo,
CREStereo,
ETH3DStereo,
FallingThingsStereo... | code_fim | hard | {
"lang": "python",
"repo": "pytorch/vision",
"path": "/references/depth/stereo/parsing.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: GabrielePisciotta/europe-pubmed-central-dataset path: /config.py
start_path = "/mie/temp_data_europepubmed-central-dataset"
writing_multiple_csv = True
skip_download = False
download_workers = 20<|fim_suffix|>load = 1
max_retry = 20
sec_between_retry = 3
folder_articles = 50<|fim_middle|>
unzip_t... | code_fim | medium | {
"lang": "python",
"repo": "GabrielePisciotta/europe-pubmed-central-dataset",
"path": "/config.py",
"mode": "psm",
"license": "ISC",
"source": "the-stack-v2"
} |
<|fim_suffix|>
unzip_threads = 1
process_article_threads = 100
max_file_to_download = 1
max_retry = 20
sec_between_retry = 3
folder_articles = 50<|fim_prefix|># repo: GabrielePisciotta/europe-pubmed-central-dataset path: /config.py
start_path = "/mie/temp_data_europepubmed-central-dataset"
writin<|fim_middle|>g_multip... | code_fim | medium | {
"lang": "python",
"repo": "GabrielePisciotta/europe-pubmed-central-dataset",
"path": "/config.py",
"mode": "spm",
"license": "ISC",
"source": "the-stack-v2"
} |
<|fim_suffix|> value, = struct.unpack('>H', Opcodes.make_addr_regoff(Opcodes.REGINDEX_TH, -42, Opcodes.ADDR_VALTYPE_FLOAT))
self.assertEqual(value, (Opcodes.ADDR_TYPE_REGOFF << 14) | (Opcodes.REGINDEX_TH << 12)| (Opcodes.ADDR_VALTYPE_FLOAT << 11) | (1 << 10) | 42)
def test_positive_int_str(self):
... | code_fim | hard | {
"lang": "python",
"repo": "ca4ti/dsremap",
"path": "/tests/test_opcodes_addr.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> value = Opcodes.make_addr_regoff(Opcodes.REGINDEX_TH, 42, Opcodes.ADDR_VALTYPE_INT)
self.assertEqual(Opcodes.make_addr_str(value).str, '[%TH+42]i')
def test_negative_int_str(self):
value = Opcodes.make_addr_regoff(Opcodes.REGINDEX_TH, -42, Opcodes.ADDR_VALTYPE_INT)
sel... | code_fim | hard | {
"lang": "python",
"repo": "ca4ti/dsremap",
"path": "/tests/test_opcodes_addr.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ca4ti/dsremap path: /tests/test_opcodes_addr.py
#!/usr/bin/env python3
import unittest
import struct
import base
from dsrlib.compiler.opcodes import Opcodes
class TestRegAddr(unittest.TestCase):
def test_reg_addr(self):
value, = struct.unpack('>B', Opcodes.make_addr_reg(Opcodes.R... | code_fim | hard | {
"lang": "python",
"repo": "ca4ti/dsremap",
"path": "/tests/test_opcodes_addr.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: allenhaozhu/doc2hash path: /models/NASH.py
import torch
import torch.autograd as autograd
from torch.autograd import Variable
import torch.nn as nn
import torch.nn.functional as F
class decoder(nn.Module):
def __init__(self, dataset, vocabSize, latentDim, device, dropoutProb=0.):
su... | code_fim | hard | {
"lang": "python",
"repo": "allenhaozhu/doc2hash",
"path": "/models/NASH.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.encoder = nn.Sequential(nn.Linear(self.vocabSize, self.hidden_dim),
nn.ReLU(inplace=True),
nn.Linear(self.hidden_dim, self.hidden_dim),
nn.ReLU(inplace=True),
... | code_fim | hard | {
"lang": "python",
"repo": "allenhaozhu/doc2hash",
"path": "/models/NASH.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def get_binary_code(self, train, test):
train_zy = []
for xb, yb in train:
q = self.encoder(xb.to(self.device))
q_y = q.view(q.size(0), self.latentDim)
b = (torch.sign(q_y - 0.5) + 1) / 2
train_zy.append((b, yb))
train_z, train_y ... | code_fim | hard | {
"lang": "python",
"repo": "allenhaozhu/doc2hash",
"path": "/models/NASH.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ayanakshi/journaldev path: /Python-3/basic_examples/multiple_inheritance.py
class A:
def __init__(self):
super().__init__()
self.name = 'John'
self.age = 23
<|fim_suffix|> super().__init__()
def getName(self):
return self.name
C1 = C()
print(C1.g... | code_fim | hard | {
"lang": "python",
"repo": "ayanakshi/journaldev",
"path": "/Python-3/basic_examples/multiple_inheritance.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class B:
def __init__(self):
super().__init__()
self.name = 'Richard'
self.id = '32'
def getName(self):
return self.name
class C(A, B):
def __init__(self):
super().__init__()
def getName(self):
return self.name
C1 = C()
print(C1.getNam... | code_fim | easy | {
"lang": "python",
"repo": "ayanakshi/journaldev",
"path": "/Python-3/basic_examples/multiple_inheritance.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ayonya100/fawkes path: /fawkes/utils/utils.py
import json
import sys
import os
import re
import csv
import itertools
import operator
import dateutil.parser
import hashlib
import nltk
import jsonschema
from datetime import datetime, timedelta
nltk.download("stopwords", quiet=True)
from nltk.c... | code_fim | hard | {
"lang": "python",
"repo": "ayonya100/fawkes",
"path": "/fawkes/utils/utils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def get_sentiment_compound(review):
return review.derived_insight.sentiment["compound"]
def fetch_channel_config(app_config, channel_type):
for review_channel in app_config.review_channels:
if review_channel.channel_type == channel_type:
return review_channel
return None
... | code_fim | hard | {
"lang": "python",
"repo": "ayonya100/fawkes",
"path": "/fawkes/utils/utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def name_number(number_str):
number_len = len(number_str)
number_literal = ''
for i in range(number_len):
position = number_len - i
if position % 3 == 0:
if number_str[i] == '0':
# number_literal += numbers.get(3).get(0) + ' '
pass
... | code_fim | medium | {
"lang": "python",
"repo": "AguSandoval/number2word",
"path": "/number_to_string.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: AguSandoval/number2word path: /number_to_string.py
units = {0: '', 1: 'one', 2: 'two', 3: 'three', 4: 'four', 5: 'five', 6: 'six', 7: 'seven', 8: 'eight', 9: 'nine'}
decimals = {0: '', 1: 'teen', 2: 'twenty', 3: 'thirty', 4: 'forty', 5: 'fifty', 6: 'sixty', 7: 'seventy', 8: 'eighty',
... | code_fim | hard | {
"lang": "python",
"repo": "AguSandoval/number2word",
"path": "/number_to_string.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MridulS/REMARK path: /REMARKs/CGMPortfolio/Code/Python/Appendix/MertonSamuelson.py
# -*- coding: utf-8 -*-
"""
Created on Sun Nov 17 09:31:45 2019
@author: Matt
"""
import HARK.ConsumptionSaving.ConsPortfolioModel as cpm
import matplotlib.pyplot as plt
import numpy as np
from copy import copy
... | code_fim | hard | {
"lang": "python",
"repo": "MridulS/REMARK",
"path": "/REMARKs/CGMPortfolio/Code/Python/Appendix/MertonSamuelson.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>agent = cpm.PortfolioConsumerType(**dict_portfolio)
agent.solve()
# %%
aMin = 0 # Minimum ratio of assets to income to plot
aMax = 1e5 # Maximum ratio of assets to income to plot
aPts = 1000 # Number of points to plot
# Campbell-Viceira (2002) approximation to optimal portfolio share in Merton-Samu... | code_fim | hard | {
"lang": "python",
"repo": "MridulS/REMARK",
"path": "/REMARKs/CGMPortfolio/Code/Python/Appendix/MertonSamuelson.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ROAD2018/observations path: /tests/r/test_income.py
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
<|fim_suffix|>
def test_income():
"""Test module income.py by downloading
income.csv and testing shape of
extracted data has 44... | code_fim | medium | {
"lang": "python",
"repo": "ROAD2018/observations",
"path": "/tests/r/test_income.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Test module income.py by downloading
income.csv and testing shape of
extracted data has 44 rows and 4 columns
"""
test_path = tempfile.mkdtemp()
x_train, metadata = income(test_path)
try:
assert x_train.shape == (44, 4)
except:
shutil.rmtree(test_path)
raise()<|fim_prefix|... | code_fim | medium | {
"lang": "python",
"repo": "ROAD2018/observations",
"path": "/tests/r/test_income.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: qinqin65/QuickFinance path: /QuickFinance/quick/urls.py
from django.conf.urls import url
from . import views
urlpatterns = [
url(r'login', views.login, name='login'),
url(r'logout', views.logout, name='logout'),
url(r'register', views.register, name='re<|fim_suffix|>'financePreviewDa... | code_fim | hard | {
"lang": "python",
"repo": "qinqin65/QuickFinance",
"path": "/QuickFinance/quick/urls.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>'financePreviewData', views.financePreviewData, name='financePreviewData'),
url(r'addAccountBook', views.addAccountBook, name='addAccountBook'),
url(r'addAccount', views.addAccount, name='addAccount'),
]<|fim_prefix|># repo: qinqin65/QuickFinance path: /QuickFinance/quick/urls.py
from django.conf... | code_fim | hard | {
"lang": "python",
"repo": "qinqin65/QuickFinance",
"path": "/QuickFinance/quick/urls.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>ySelectStore, name='currencySelectStore'),
url(r'accountTypeSelectStore', views.accountTypeSelectStore, name='accountTypeSelectStore'),
url(r'accounting', views.accounting, name='accounting'),
url(r'financePreviewData', views.financePreviewData, name='financePreviewData'),
url(r'addAccount... | code_fim | hard | {
"lang": "python",
"repo": "qinqin65/QuickFinance",
"path": "/QuickFinance/quick/urls.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
self.basic = ['disburse']<|fim_prefix|># repo: cash2one/xai path: /xai/brain/wordbase/otherforms/_disburses.py
#calss header
class _DISBURSES():
<|fim_middle|> def __init__(self,):
self.name = "DISBURSES"
self.definitions = disburse
self.parents = []
self.childen = []
self.properties = [... | code_fim | medium | {
"lang": "python",
"repo": "cash2one/xai",
"path": "/xai/brain/wordbase/otherforms/_disburses.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cash2one/xai path: /xai/brain/wordbase/otherforms/_disburses.py
#calss header
class _DISBURSES():
<|fim_suffix|>
self.basic = ['disburse']<|fim_middle|> def __init__(self,):
self.name = "DISBURSES"
self.definitions = disburse
self.parents = []
self.childen = []
self.properties = [... | code_fim | medium | {
"lang": "python",
"repo": "cash2one/xai",
"path": "/xai/brain/wordbase/otherforms/_disburses.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def applyTo(self, trade, av):
trade.giveKingsheadTeleportToken()
def getDescriptionText(self):
return PLocalizer.KingsHeadTeleportRewardDesc
class MainStoryReward(QuestReward):
def applyTo(self, trade, av):
if not av.checkQuestRewardFlag(PiratesGlobals.Q... | code_fim | hard | {
"lang": "python",
"repo": "C0MPU73R/pirates-online-classic",
"path": "/pirates/quest/QuestReward.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> def applyTo(self, trade, av):
trade.giveWandTraining()
trade.giveStack(InventoryType.WandWeaponL1, 1)
def getDescriptionText(self):
return PLocalizer.StaffRewardDesc
class TeleportTotemReward(QuestReward):
def applyTo(self, trade, av):
trade.giveT... | code_fim | hard | {
"lang": "python",
"repo": "C0MPU73R/pirates-online-classic",
"path": "/pirates/quest/QuestReward.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: C0MPU73R/pirates-online-classic path: /pirates/quest/QuestReward.py
calizer.LootGoldDouble % goldAmt
return text
def setGoldFactor(self, multiplier):
global GOLDFACTOR_HOLIDAY
GOLDFACTOR_HOLIDAY = multiplier
class PlayingCardReward(QuestReward):
def... | code_fim | hard | {
"lang": "python",
"repo": "C0MPU73R/pirates-online-classic",
"path": "/pirates/quest/QuestReward.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ssattids/NN_project path: /roads_cars.py
import torch
import torch.nn as nn
import torch.optim as optim
from torch.optim import lr_scheduler
from torch.autograd import Variable
from torch.utils.data import DataLoader
import torchvision.transforms as transforms
from PIL import Image
import numpy a... | code_fim | hard | {
"lang": "python",
"repo": "ssattids/NN_project",
"path": "/roads_cars.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> outputs = fcn_model(inputs)
loss = criterion(outputs, labels)
loss.backward()
optimizer.step()
if iter % 10 == 0:
print("epoch{}, iter{}, loss: {}".format(epoch, iter, loss.item()))
print("Finish epoch {}, time e... | code_fim | hard | {
"lang": "python",
"repo": "ssattids/NN_project",
"path": "/roads_cars.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: microsoft/playwright-python path: /tests/sync/test_locator_get_by.py
# Copyright (c) Microsoft Corporation.
#
# 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://ww... | code_fim | hard | {
"lang": "python",
"repo": "microsoft/playwright-python",
"path": "/tests/sync/test_locator_get_by.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def test_get_by_alt_text(page: Page) -> None:
page.set_content(
"""<div>
<input alt="Hello">
<input alt="Hello World">
</div>"""
)
expect(page.get_by_alt_text("hello")).to_have_count(2)
expect(page.main_frame.get_by_alt_text("hello")).to_have_count(2)
expect(page.loc... | code_fim | hard | {
"lang": "python",
"repo": "microsoft/playwright-python",
"path": "/tests/sync/test_locator_get_by.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def test_get_by_label(page: Page) -> None:
page.set_content(
"<div><label for=target>Name</label><input id=target type=text></div>"
)
expect(page.get_by_label("Name")).to_have_count(1)
expect(page.main_frame.get_by_label("Name")).to_have_count(1)
expect(page.locator("div").ge... | code_fim | hard | {
"lang": "python",
"repo": "microsoft/playwright-python",
"path": "/tests/sync/test_locator_get_by.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def edge_dropout(adj, dropout):
adj = adj - sp.dia_matrix((adj.diagonal()[np.newaxis, :], [0]), shape=adj.shape)
adj.eliminate_zeros()
assert np.diag(adj.todense()).sum() == 0
adj_triu = sp.triu(adj)
adj_tuple = sparse_to_tuple(adj_triu)
edges = adj_tuple[0]
num_val = int(np.... | code_fim | hard | {
"lang": "python",
"repo": "aaronzweig/graphite_super",
"path": "/gae/gae/preprocessing.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: aaronzweig/graphite_super path: /gae/gae/preprocessing.py
import numpy as np
import scipy.sparse as sp
import networkx as nx
def preprocess_features(features):
"""Row-normalize feature matrix and convert to tuple representation"""
rowsum = np.array(features.sum(1))
r_inv = np.power(r... | code_fim | hard | {
"lang": "python",
"repo": "aaronzweig/graphite_super",
"path": "/gae/gae/preprocessing.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dana-i2cat/felix path: /optin_manager/src/python/openflow/optin_manager/opts/admin.py
# admin file for flowspace - to be used in debuging
from models import *
from django.contrib import admin
<|fim_suffix|>admin.site.register(AdminFlowSpace)
admin.site.register(UserFlowSpace)<|fim_middle|>admin.... | code_fim | medium | {
"lang": "python",
"repo": "dana-i2cat/felix",
"path": "/optin_manager/src/python/openflow/optin_manager/opts/admin.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>admin.site.register(AdminFlowSpace)
admin.site.register(UserFlowSpace)<|fim_prefix|># repo: dana-i2cat/felix path: /optin_manager/src/python/openflow/optin_manager/opts/admin.py
# admin file for flowspace - to be used in debuging
from models import *
from django.contrib import admin
admin.site.register(... | code_fim | medium | {
"lang": "python",
"repo": "dana-i2cat/felix",
"path": "/optin_manager/src/python/openflow/optin_manager/opts/admin.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cash2one/xai path: /xai/brain/wordbase/otherforms/_endured.py
#calss header
class _ENDURED():
<|fim_suffix|> self.basic = ['endure']<|fim_middle|> def __init__(self,):
self.name = "ENDURED"
self.definitions = endure
self.parents = []
self.childen = []
self.properties = []
self.js... | code_fim | medium | {
"lang": "python",
"repo": "cash2one/xai",
"path": "/xai/brain/wordbase/otherforms/_endured.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cash2one/xai path: /xai/brain/wordbase/otherforms/_endured.py
#calss header
class _ENDURED():
def __init__(self,):
self.name = "ENDURED"
self.definitions = endure
<|fim_suffix|>
self.basic = ['endure']<|fim_middle|> self.parents = []
self.childen = []
self.properties = []
self.j... | code_fim | medium | {
"lang": "python",
"repo": "cash2one/xai",
"path": "/xai/brain/wordbase/otherforms/_endured.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.basic = ['endure']<|fim_prefix|># repo: cash2one/xai path: /xai/brain/wordbase/otherforms/_endured.py
#calss header
class _ENDURED():
<|fim_middle|> def __init__(self,):
self.name = "ENDURED"
self.definitions = endure
self.parents = []
self.childen = []
self.properties = []
self.js... | code_fim | medium | {
"lang": "python",
"repo": "cash2one/xai",
"path": "/xai/brain/wordbase/otherforms/_endured.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> amp = not args.disable_gpu and not args.disable_amp
device = get_device(not args.disable_gpu)
# data
if args.dataset == 'animeface':
dataset = AnimeFaceXDoG(args.image_size, args.min_year)
elif args.dataset == 'danbooru':
dataset = DanbooruPortraitXDoG(args.image_size,... | code_fim | hard | {
"lang": "python",
"repo": "WN1695173791/animeface",
"path": "/implementations/SCFT/utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: WN1695173791/animeface path: /implementations/SCFT/utils.py
import functools
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.cuda.amp import autocast, GradScaler
from torchvision.utils import save_image
from torch.utils.data import rando... | code_fim | hard | {
"lang": "python",
"repo": "WN1695173791/animeface",
"path": "/implementations/SCFT/utils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if args.max_iters < 0:
args.max_iters = len(dataset) * args.default_epochs
# model
G = Generator(
args.image_size, args.sketch_channels, args.ref_channels,
args.bottom_width, args.enc_channels, args.layer_per_resl, args.num_res_blocks,
not args.disable_sn, not ... | code_fim | hard | {
"lang": "python",
"repo": "WN1695173791/animeface",
"path": "/implementations/SCFT/utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>from rqt_science.plugin import SciencePlugin
from rqt_gui.main import Main
plugin = 'rqt_science'
main = Main(filename=plugin)
sys.exit(main.main(standalone=plugin))<|fim_prefix|># repo: MacRover/Rover path: /ROS_WS/src/rqt_science/scripts/rqt_science
#!/usr/bin/env python
<|fim_middle|>import sys
| code_fim | easy | {
"lang": "python",
"repo": "MacRover/Rover",
"path": "/ROS_WS/src/rqt_science/scripts/rqt_science",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MacRover/Rover path: /ROS_WS/src/rqt_science/scripts/rqt_science
#!/usr/bin/env python
import sys
<|fim_suffix|>plugin = 'rqt_science'
main = Main(filename=plugin)
sys.exit(main.main(standalone=plugin))<|fim_middle|>from rqt_science.plugin import SciencePlugin
from rqt_gui.main import Main
| code_fim | medium | {
"lang": "python",
"repo": "MacRover/Rover",
"path": "/ROS_WS/src/rqt_science/scripts/rqt_science",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> height_new = min((float(ori_size)/imsize) * bbox_tmp[3], 1.0)
if y_new + height_new > 0.999:
height_new = 1.0 - y_new - 0.001
if flip_img:
x_new = 1.0-x_new-width_new
bbox_scaled[idx] = [x_new, y_new,... | code_fim | hard | {
"lang": "python",
"repo": "ducis28/multiple-objects-gan",
"path": "/code/coco/stackgan/miscc/datasets.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ducis28/multiple-objects-gan path: /code/coco/stackgan/miscc/datasets.py
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import torch.utils.data as data
import PIL
import os
import os.path
impor... | code_fim | hard | {
"lang": "python",
"repo": "ducis28/multiple-objects-gan",
"path": "/code/coco/stackgan/miscc/datasets.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> voters = Vote.objects.all()
blancs = 0
candidates = {}
for voter in voters:
choices = voter.choices.split(",")
if choices == [""]:
blancs += 1
for choice in choices:
if choice == "":
choice = "**blank**"
candidate... | code_fim | hard | {
"lang": "python",
"repo": "dragonleman/django-example",
"path": "/src/election/views.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dragonleman/django-example path: /src/election/views.py
from django.http import HttpResponse
from django.template import loader
from config.settings.base import BASE_DIR
from election.models import Election, Vote
def create_election(request):
if request.GET and 'title' in request.GET:
... | code_fim | medium | {
"lang": "python",
"repo": "dragonleman/django-example",
"path": "/src/election/views.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> context = {
"votes": voters,
"blancs": blancs,
"candidates": dict(sorted(candidates.items(), key=lambda item: item[1], reverse=True)),
"election": Election.objects.all().first()
}
template = loader.get_template('results.html')
return HttpResponse(template.r... | code_fim | hard | {
"lang": "python",
"repo": "dragonleman/django-example",
"path": "/src/election/views.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> @weight(1)
@timeout_decorator.timeout(5.0)
def test_diagram_context(self):
diagram = self.notebook_locals["diagram"]
double_integrator = self.notebook_locals["double_integrator"]
actuator_model = self.notebook_locals["actuator_model"]
context = self.notebook_loc... | code_fim | hard | {
"lang": "python",
"repo": "RussTedrake/underactuated",
"path": "/underactuated/exercises/lqr/test_drake_diagrams.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: RussTedrake/underactuated path: /underactuated/exercises/lqr/test_drake_diagrams.py
import unittest
import numpy as np
import timeout_decorator
from gradescope_utils.autograder_utils.decorators import weight
from pydrake.all import AffineSystem, Diagram, System
class TestDrakeDiagrams(unittest... | code_fim | hard | {
"lang": "python",
"repo": "RussTedrake/underactuated",
"path": "/underactuated/exercises/lqr/test_drake_diagrams.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> Args:
file_format: See
https://pillow.readthedocs.io/en/3.1.x/handbook/image-file-formats.html
color_space: One of "L", "RGB", or "CMYK". "L" means greyscale.
width: The width, in pixels of the image.
height: The width, in pixels of the image.
Returns:
... | code_fim | hard | {
"lang": "python",
"repo": "admdev8/vws-python-mock",
"path": "/tests/mock_vws/utils/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> Returns:
An image file in the given format and color space.
"""
image_buffer = io.BytesIO()
image = Image.new(color_space, (width, height))
# If this assertion ever fails, see
# https://github.com/VWS-Python/vws-test-fixtures for what to do.
assert color_space != 'L'
... | code_fim | hard | {
"lang": "python",
"repo": "admdev8/vws-python-mock",
"path": "/tests/mock_vws/utils/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: admdev8/vws-python-mock path: /tests/mock_vws/utils/__init__.py
"""
Utilities for tests.
"""
import io
import random
import requests
from PIL import Image
from mock_vws._constants import ResultCodes
class Endpoint:
"""
Details of endpoints to be called in tests.
"""
prepared... | code_fim | hard | {
"lang": "python",
"repo": "admdev8/vws-python-mock",
"path": "/tests/mock_vws/utils/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mgaborit/pyven path: /source/pyven/reporting/content/success.py
from pyven.reporting.content.status import Status
from pyven.reporting.style import Style
import pyven.constants
class Success(Status):
<|fim_suffix|> super(Success, self).__init__(pyven.constants.STATUS[0])
self.status_style = ... | code_fim | easy | {
"lang": "python",
"repo": "mgaborit/pyven",
"path": "/source/pyven/reporting/content/success.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> super(Success, self).__init__(pyven.constants.STATUS[0])
self.status_style = Style.get().status['success']<|fim_prefix|># repo: mgaborit/pyven path: /source/pyven/reporting/content/success.py
from pyven.reporting.content.status import Status
from pyven.reporting.style import Style
import pyven.consta... | code_fim | easy | {
"lang": "python",
"repo": "mgaborit/pyven",
"path": "/source/pyven/reporting/content/success.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: astropy/astropy-benchmarks path: /benchmarks/modeling/fitting.py
import warnings
import numpy as np
from astropy.io import ascii
from astropy import units as u
from astropy.utils.data import get_pkg_data_filename
from astropy.modeling import models, fitting
fit_LevMarLSQFitter = fitting.LevMar... | code_fim | hard | {
"lang": "python",
"repo": "astropy/astropy-benchmarks",
"path": "/benchmarks/modeling/fitting.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>def time_Polynomial2D_LinearLSQFitter():
warnings.filterwarnings('error')
try:
z = z_base + np.random.normal(0., 0.2, z_base.shape)
t = fit_LinearLSQFitter(Polynomial2D, x_grid, y_grid, z)
except Warning:
pass
def time_Chebyshev1D_LevMarLSQFitter():
warnings.filte... | code_fim | hard | {
"lang": "python",
"repo": "astropy/astropy-benchmarks",
"path": "/benchmarks/modeling/fitting.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> warnings.filterwarnings('error')
try:
z = z_base + np.random.normal(0., 0.2, z_base.shape)
t = fit_LinearLSQFitter(Chebyshev2D, x_grid, y_grid, z)
except Warning:
pass
def time_combined_gauss_1d_LevMarLSQFitter():
warnings.filterwarnings('error')
try:
... | code_fim | hard | {
"lang": "python",
"repo": "astropy/astropy-benchmarks",
"path": "/benchmarks/modeling/fitting.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>import nltk.corpus
print(os.listdir(nltk.data.find("corpora")))
nltk.corpus.gutenberg.fileids()
milton=nltk.corpus.gutenberg.words('milton-paradise.txt')
AI="""machine learning is a part of artificial intelligence. machine learning is widely used. Artificial intelligence is incomplete without mac... | code_fim | hard | {
"lang": "python",
"repo": "Soumitra-Mandal/ML-and-pyfiles",
"path": "/nlp.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Soumitra-Mandal/ML-and-pyfiles path: /nlp.py
import nltk
import textblob
from textblob import TextBlob
data=TextBlob("Hello Everyone!hope you are enjoying the day.")
data.translate(to="es")
data.translate(to="bn")
data=TextBlob("The orange is a bad fruit")
data.sentiment
data=TextBl... | code_fim | hard | {
"lang": "python",
"repo": "Soumitra-Mandal/ML-and-pyfiles",
"path": "/nlp.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> @pytest.fixture
def mock_icon_score_class_loader(self, mocker):
mocker.patch.object(IconScoreClassLoader, "_load_package_json")
mocker.patch.object(IconScoreClassLoader, "_get_package_info")
return IconScoreClassLoader
@pytest.fixture
def mock_importlib(self, mocke... | code_fim | hard | {
"lang": "python",
"repo": "icon-project/icon-service",
"path": "/tests/unit_test/score_loader/test_icon_score_class_loader.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # mock
mock_utils.get_score_deploy_path.return_value = deploy_path
mock_utils.get_package_name_by_address_and_tx_hash.return_value = package_name
package_json = {
self.VERSION: mock.ANY,
self.MAIN_FILE: main_file,
self.MAIN_SCORE: main_s... | code_fim | hard | {
"lang": "python",
"repo": "icon-project/icon-service",
"path": "/tests/unit_test/score_loader/test_icon_score_class_loader.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: icon-project/icon-service path: /tests/unit_test/score_loader/test_icon_score_class_loader.py
# -*- coding: utf-8 -*-
# Copyright 2018 ICON Foundation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may ... | code_fim | hard | {
"lang": "python",
"repo": "icon-project/icon-service",
"path": "/tests/unit_test/score_loader/test_icon_score_class_loader.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def forward(self, x, label=None):
return {"features": x, "logits": None}<|fim_prefix|># repo: chenyeren/PaddleClas path: /ppcls/arch/gears/identity_head.py
from paddle import nn
<|fim_middle|>class IdentityHead(nn.Layer):
def __init__(self):
super(IdentityHead, self).__init__()
... | code_fim | medium | {
"lang": "python",
"repo": "chenyeren/PaddleClas",
"path": "/ppcls/arch/gears/identity_head.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __init__(self):
super(IdentityHead, self).__init__()
def forward(self, x, label=None):
return {"features": x, "logits": None}<|fim_prefix|># repo: chenyeren/PaddleClas path: /ppcls/arch/gears/identity_head.py
from paddle import nn
<|fim_middle|>
class IdentityHead(nn.Layer):... | code_fim | easy | {
"lang": "python",
"repo": "chenyeren/PaddleClas",
"path": "/ppcls/arch/gears/identity_head.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: chenyeren/PaddleClas path: /ppcls/arch/gears/identity_head.py
from paddle import nn
<|fim_suffix|> return {"features": x, "logits": None}<|fim_middle|>
class IdentityHead(nn.Layer):
def __init__(self):
super(IdentityHead, self).__init__()
def forward(self, x, label=None):... | code_fim | medium | {
"lang": "python",
"repo": "chenyeren/PaddleClas",
"path": "/ppcls/arch/gears/identity_head.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if i % 1024 == 0:
ind += 1
f = open(fn, 'r')
content = f.read()
f.close()
def run(work_dir, n, contentsize):
print contentsize
content = gen_content(contentsize)
start = time.time()
gen_file(work_dir, n, content)
read_file(work_dir, n)
en... | code_fim | medium | {
"lang": "python",
"repo": "linpawslitap/mds_scaling",
"path": "/traces/genfile.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: linpawslitap/mds_scaling path: /traces/genfile.py
#!/usr/bin/python
#########################################################################
# Author: Kai Ren
# Created Time: 2011-10-30 22:23:36
# File Name: ./genfile.py
# Description:
###########################################################... | code_fim | hard | {
"lang": "python",
"repo": "linpawslitap/mds_scaling",
"path": "/traces/genfile.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> print contentsize
content = gen_content(contentsize)
start = time.time()
gen_file(work_dir, n, content)
read_file(work_dir, n)
end = time.time()
print end - start
if __name__ == '__main__':
run("/mnt/share/test", 1024 * 1024, int(sys.argv[1]))<|fim_prefix|># repo: linpawsl... | code_fim | hard | {
"lang": "python",
"repo": "linpawslitap/mds_scaling",
"path": "/traces/genfile.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Jerakin/FakemonPackages path: /tools/publisher.py
import argparse
import zipfile
import json
import shutil
from pathlib import Path
__version__ = "0.1"
class IncompletePackage(Exception):
pass
def options():
parser = argparse.ArgumentParser(description='Commandline tool to publish Fa... | code_fim | hard | {
"lang": "python",
"repo": "Jerakin/FakemonPackages",
"path": "/tools/publisher.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def print_help():
print("Usage: publisher <command> [<args>]\n")
print("The commands are:")
print(" add Add the package to the index")
print(" peek NotImplementedError")
print("See `publisher <command> --help` for information on a specific command.")
def main():
_op... | code_fim | hard | {
"lang": "python",
"repo": "Jerakin/FakemonPackages",
"path": "/tools/publisher.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> print("See `publisher <command> --help` for information on a specific command.")
def main():
_options = options()
if _options.command == "add":
package_index = Path(_options.package_index) if _options.package_index else Path(__file__).absolute().parent.parent
add(Path(_option... | code_fim | hard | {
"lang": "python",
"repo": "Jerakin/FakemonPackages",
"path": "/tools/publisher.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for pair in pairs_to_test:
self.assertTupleEqual(pair[0], convert_row_to_nd_slices(pair[1], dimensions))
def main():
unittest.main()
if __name__ == '__main__':
main()<|fim_prefix|># repo: radujica/data-analysis-pipelines path: /weld/netCDF4_weld/tests/test_utils.py
import ... | code_fim | hard | {
"lang": "python",
"repo": "radujica/data-analysis-pipelines",
"path": "/weld/netCDF4_weld/tests/test_utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: radujica/data-analysis-pipelines path: /weld/netCDF4_weld/tests/test_utils.py
import unittest
from netCDF4_weld.utils import convert_row_to_nd_slices
class UtilsTests(unittest.TestCase):
def test_convert_to_nd_slices(self):
<|fim_suffix|> for pair in pairs_to_test:
self.... | code_fim | hard | {
"lang": "python",
"repo": "radujica/data-analysis-pipelines",
"path": "/weld/netCDF4_weld/tests/test_utils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> my_c=cgs.speed_of_light
def test_c(self):
"""
is the factor 100 between meter and centimeter correct?
"""
self.failIf(cgs.speed_of_light/mks.speed_of_light!=100)
def test_default(self):
self.failIf(cgs.speed_of_light/pygsl.const.speed_of_light!=100... | code_fim | medium | {
"lang": "python",
"repo": "juhnowski/FishingRod",
"path": "/production/pygsl-0.9.5/tests/const_test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.