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dnabanita7 / final-output.txt
Created July 31, 2023 17:03
The final text file feed into the llm model
The notions we acquire of contrivance and design arise from comparing our observations on the works of other beings with the intentions of which we are conscious in our own undertakings.
We take the highest and best of human faculties and exalting them in our imagination to an unlimited extent endeavour to attain an imperfect conception of that Infinite Power which created every thing around us.
In pursuing this course it is evident that we are liable to impress upon the notion of Deity thus shadowed out many traces of those imperfections in our own limited faculties which are best known to those who have most deeply cultivated them.
It is also evident that all those discoveries which arm human reason with new power and all additions to our acquaintance with the material world must from time to time render revision of that notion necessary.
The present seems to befit occasion for such revision.
Many excellent and religious persons not deeply versed in what they mistakenly call human knowledge but which is in

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ℹ️ Event information

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  • Event name: Fastest Code First 4.0
  • Event date: 20/11/30
  • Estimated number of attendees: 70
  • Event location: Codechef (online)

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Use this template to fill out a report about your event. You don't need to include all the sections offered below they are there as a guide, just delete the ones that aren't applicable or add new ones if you feel like there is something missing.

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[ Info: Precompiling MakieGallery [dbd62bd0-c9f5-5087-a2e1-f5c4bb0cec90]
WARNING: Method definition (::Type{GeometryTypes.HyperRectangle{3, Float32}})(Tuple{Tuple{#s15, #s14} where #s14<:Number where #s15<:Number, Tuple{#s13, #s12} where #s12<:Number where #s13<:Number}) in module GeometryTypes at /home/nabanita07/.julia/packages/GeometryTypes/gpBFp/src/hyperrectangles.jl:164 overwritten in module AbstractPlotting at /home/nabanita07/.julia/packages/AbstractPlotting/B5nOF/src/types.jl:141.
** incremental compilation may be fatally broken for this module **
WARNING: Method definition (::Type{GeometryTypes.HyperRectangle{3, Float32}})(Tuple{Tuple{#s15, #s14, #s13} where #s13<:Number where #s14<:Number where #s15<:Number, Tuple{#s12, #s26, #s27} where #s27<:Number where #s26<:Number where #s12<:Number}) in module GeometryTypes at /home/nabanita07/.julia/packages/GeometryTypes/gpBFp/src/hyperrectangles.jl:167 overwritten in module AbstractPlotting at /home/nabanita07/.julia/packages/AbstractPlotting/B5nOF/src/
@dnabanita7
dnabanita7 / gist:ea2d956cfb245d37b5c6af677b5e3695
Created June 8, 2020 04:56
IOError: stream is closed or unusable
┌ Error: error handling request
│ exception =
│ IOError: stream is closed or unusable
│ Stacktrace:
│ [1] check_open at ./stream.jl:328 [inlined]
│ [2] uv_write_async(::Sockets.TCPSocket, ::Ptr{UInt8}, ::UInt64) at ./stream.jl:961
│ [3] uv_write(::Sockets.TCPSocket, ::Ptr{UInt8}, ::UInt64) at ./stream.jl:924
│ [4] unsafe_write(::Sockets.TCPSocket, ::Ptr{UInt8}, ::UInt64) at ./stream.jl:1007
│ [5] unsafe_write at /home/nabanita07/.julia/packages/HTTP/GkPBm/src/ConnectionPool.jl:174 [inlined]
│ [6] write at ./strings/io.jl:183 [inlined]
stack traces at different debug levels: Test Failed at /home/nabanita07/.julia/packages/CUDAnative/wdJjC/test/device/execution.jl:540
Expression: occursin("ERROR: KernelException: exception thrown during kernel execution on device", err)
Evaluated: occursin("ERROR: KernelException: exception thrown during kernel execution on device", "ERROR: CUDA error: out of memory (code 2, ERROR_OUT_OF_MEMORY)\nStacktrace:\n [1] top-level scope at none:7\n")
Stacktrace:
[1] top-level scope at /home/nabanita07/.julia/packages/CUDAnative/wdJjC/test/device/execution.jl:540
[2] top-level scope at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.3/Test/src/Test.jl:1107
[3] top-level scope at /home/nabanita07/.julia/packages/CUDAnative/wdJjC/test/device/execution.jl:525
[4] top-level scope at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.3/Test/src/Test.jl:1107
[5] top-level scope at /home/nabanita07/.julia/packages/CUDAnative/wdJjC/test/device/execution.jl:523
[6] top-level sc
@dnabanita7
dnabanita7 / Software Engineer
Created July 29, 2019 12:53
Job Description
More about the role
Job title: Software Engineering Intern, Summer 2020 - Bangalore or Hyderabad
Job description: Software Engineers at Google are researchers and developers who yearn to create and implement complex computer science solutions. Our engineers develop massively scalable, distributed software systems and also collaborate on multitudes of smaller projects that have universal appeal - which requires research, awareness, interactivity, and asking questions. You build strong competencies in data structures and algorithms, along with a technical fascination for how stuff fits together. You need to have a solid foundation in computer science in order to consistently come up with new ideas as well as strive for a deep understanding of our products and services in order to continually improve upon them. We focus on being a collaborative, global organization consisting of engineers with the highest levels of technical depth, programming skills and a keen eye for quality. Our Summer internships start in
@dnabanita7
dnabanita7 / build.jl
Created June 18, 2019 03:49
These are the warnings
make -C scratch/openblas-fd8d1868a126bb9f12bbc43b36ee30d1ba943fbb/ CC=gcc -m64 FC=gfortran -m64 LD=ld RANLIB=ranlib TARGET= BINARY=64 USE_THREAD=1 GEMM_MULTITHREADING_THRESHOLD=50 NUM_THREADS=16 NO_AFFINITY=1 DYNAMIC_ARCH=1 INTERFACE64=1 SYMBOLSUFFIX=64_ LIBPREFIX=libopenblas64_ CFLAGS= -O2 FFLAGS= -O2 -fPIC LDFLAGS= -Wl,-rpath,'$$ORIGIN' -Wl,-z,origin -Wl,-rpath-link,/home/chad7/julia/usr/lib MAKE_NB_JOBS=0
lapack/laswp.c: In function ‘slaswp_’:
lapack/laswp.c:100:8: warning: passing argument 12 of ‘blas_level1_thread’ from incompatible pointer type [-Wincompatible-pointer-types]
laswp[flag], nthreads);
^~~~~
In file included from ../common.h:803:0,
from lapack/laswp.c:40:
../common_thread.h:177:5: note: expected ‘int (*)()’ but argument is of type ‘int (*)(BLASLONG, BLASLONG, BLASLONG, float, float *, BLASLONG, float *, BLASLONG, blasint *, BLASLONG) {aka int (*)(long int, long int, long int, float, float *, long int, float *, long int, long int *, long int)}’
i
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dnabanita7 / featurization.py
Created June 4, 2019 13:39
pd.concat doesn't concatenate dataframes.
import os
import sys
import errno
import pandas as pd
import numpy as np
import scipy.sparse as sparse
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.feature_extraction.text import TfidfTransformer