Friday, June 4, 2021

20210527 - Monitoring effects of 0.5 Trinicalm Plus



Index of Journals
27/05/21, 02:23: 0.5 Tablet Trinicalm Plus
SALT COMPOSITION: Trifluoperazine (5mg) + Trihexyphenidyl (2mg) [Read the end notes]

27/05/21, 02:24: Starting with 1.5 hours of outdoor activity. Workout.

27/05/21, 12:12: +++

27/05/21, 12:13: 1 tablet Petril Beta-10 & 0.5 tablet Trinicalm Plus

27/05/21, 12:14: Had bad dreams before I woke up now. Fighting with uncle and Prashant. I asked amma to whom did the house in Mayur Vihar belong and it was before uncle and she said it belonged to uncle. After which I packed my backpack and left the house crying. And being bullied by neighbours.

27/05/21, 20:37: +++

27/05/21, 20:37: Took 0.5 tablet of Trinicalm Plus.

27/05/21, 20:38: Going to Open Gym for 1 hour.

27/05/21, 21:58: Having dinner.

28/05/21, 06:07: +++

28/05/21, 06:07: Took one tablet of Trinicalm Plus.

28/05/21, 06:08: Doing workouts for an hour now.

28/05/21, 06:24: Self-awareness is beginning now.

28/05/21, 06:39: High-plank
Regular plank
Burpees
Abdominal crunches
Reverse abdominal crunches

End Notes

Drug 1: Trifluoperazine HCL Common Brand(S): Stelazine Generic Name(S): trifluoperazine Ref 1.1: webmd This medication is used to treat certain mental/mood disorders (such as schizophrenia, psychotic disorders). Trifluoperazine helps you to think more clearly, feel less nervous, and take part in everyday life. It can reduce aggressive behavior and the desire to hurt yourself/others. It may also help to decrease hallucinations (hearing/seeing things that are not there). Trifluoperazine is a psychiatric medication that belongs to the class of drugs called phenothiazine antipsychotics. It works by helping to restore the balance of certain natural substances in the brain.This medication has also been used for the short-term treatment of anxiety. However, there are safer drugs to treat anxiety that should be used first before trifluoperazine. Ref 1.2: Wikipedia Trifluoperazine, sold under a number of brand names, is a typical antipsychotic primarily used to treat schizophrenia. It may also be used short term in those with generalized anxiety disorder but is less preferred to benzodiazepines. It is of the phenothiazine chemical class. Drug 2: Trihexyphenidyl HCL Common Brand(S): Artane Generic Name(S): trihexyphenidyl Ref 2.1: webmd Trihexyphenidyl is used to treat symptoms of Parkinson's disease or involuntary movements due to the side effects of certain psychiatric drugs (antipsychotics such as chlorpromazine/haloperidol). Trihexyphenidyl belongs to a class of medication called anticholinergics that work by blocking a certain natural substance (acetylcholine). This helps decrease muscle stiffness, sweating, and the production of saliva, and helps improve walking ability in people with Parkinson's disease.Anticholinergics can stop severe muscle spasms of the back, neck, and eyes that are sometimes caused by psychiatric drugs. It can also decrease other side effects such as muscle stiffness/rigidity (extrapyramidal signs-EPS). It is not helpful in treating movement problems caused by tardive dyskinesia and may worsen them. Ref 2.2: Wikipedia Trihexyphenidyl, also known as benzhexol and trihex, is an antiparkinsonian agent of the antimuscarinic class. It was approved by the FDA for the treatment of Parkinson's in 2003. Tags: Behavioral Science, Emotional Intelligence, Journal, Medicine, Psychology, Science, Technology

20210526 - Monitoring effects of 0.5 Trinicalm Plus



Index of Journals
26/05/21, 21:12: Shave: beard and head

26/05/21, 21:31: Mom's missed call had come at 21:04.

Told her 'no' once politely to the question "is it good time to talk" and then again by screaming at her when at first she did not listen.

26/05/21, 21:31: Going for bath with hot water after shave.

26/05/21, 21:34: While water heats up, we push articles in Kenyan groups.

26/05/21, 22:01: 0.5 Trinicalm Plus taken.

26/05/21, 22:01: Going for hot water bath.

26/05/21, 22:10: Having dinner.

26/05/21, 22:53: Watched Game of thrones for 20 mins while eating.

26/05/21, 22:54: Am self-aware now.

26/05/21, 22:56: Lack of motivation.

26/05/21, 22:56: Confusion: why this activity, why that activity, why rest, why not rest?

26/05/21, 23:08: As I am sending link to one of my blog posts to my Kenyan friends, I realise that am not enjoying it.

26/05/21, 23:32: If you had a bad day, you would have an urge to get back at people who made you feel bad.

26/05/21, 23:33: But make you that you do not anything to anyone because the Golden Rule says:
Do not do unto others that which you would not want them to do unto you.

26/05/21, 23:37: I think I am feeling slightly better now.

26/05/21, 23:39: During this time 23:37, I was walking in the room and sending my blog post link to my Kenyan friends.

26/05/21, 23:53: Upload articles written yesterday on Blogger.

27/05/21, 00:00: I could still feel the medicine as I was trying engage myself in blogging that required brain power.

27/05/21, 00:13: 20 sips of water.

27/05/21, 00:14: 10 sips of water.

27/05/21, 00:14: Restroom visit.

27/05/21, 00:19: Update Index of Journals.

27/05/21, 00:20: Update other indices too for:
Barack Obama
And Trinicalm Plus.

End Notes

Drug 1: Trifluoperazine HCL Common Brand(S): Stelazine Generic Name(S): trifluoperazine Ref 1.1: webmd This medication is used to treat certain mental/mood disorders (such as schizophrenia, psychotic disorders). Trifluoperazine helps you to think more clearly, feel less nervous, and take part in everyday life. It can reduce aggressive behavior and the desire to hurt yourself/others. It may also help to decrease hallucinations (hearing/seeing things that are not there). Trifluoperazine is a psychiatric medication that belongs to the class of drugs called phenothiazine antipsychotics. It works by helping to restore the balance of certain natural substances in the brain.This medication has also been used for the short-term treatment of anxiety. However, there are safer drugs to treat anxiety that should be used first before trifluoperazine. Ref 1.2: Wikipedia Trifluoperazine, sold under a number of brand names, is a typical antipsychotic primarily used to treat schizophrenia. It may also be used short term in those with generalized anxiety disorder but is less preferred to benzodiazepines. It is of the phenothiazine chemical class. Drug 2: Trihexyphenidyl HCL Common Brand(S): Artane Generic Name(S): trihexyphenidyl Ref 2.1: webmd Trihexyphenidyl is used to treat symptoms of Parkinson's disease or involuntary movements due to the side effects of certain psychiatric drugs (antipsychotics such as chlorpromazine/haloperidol). Trihexyphenidyl belongs to a class of medication called anticholinergics that work by blocking a certain natural substance (acetylcholine). This helps decrease muscle stiffness, sweating, and the production of saliva, and helps improve walking ability in people with Parkinson's disease.Anticholinergics can stop severe muscle spasms of the back, neck, and eyes that are sometimes caused by psychiatric drugs. It can also decrease other side effects such as muscle stiffness/rigidity (extrapyramidal signs-EPS). It is not helpful in treating movement problems caused by tardive dyskinesia and may worsen them. Ref 2.2: Wikipedia Trihexyphenidyl, also known as benzhexol and trihex, is an antiparkinsonian agent of the antimuscarinic class. It was approved by the FDA for the treatment of Parkinson's in 2003. Tags: Behavioral Science, Emotional Intelligence, Journal, Medicine, Psychology, Science, Technology

20210523 - Monitoring effects of Trinicalm Plus



Index of Journals
23/05/21, 23:29: One pill of Trinicalm Plus
SALT COMPOSITION: Trifluoperazine (5mg) + Trihexyphenidyl (2mg) [Read the end notes]

23/05/21, 23:35: Self-awareness has begun to rise.

23/05/21, 23:40: If you really had a bad day or bad time, then the rising self-awareness might draw your attention towards those negative feelings. Negative feelings such as:

1. Hatred
2. Jealousy
3. Disgust
4. Vengeance
5. Resentment
6. Unfair treatment

23/05/21, 23:42: I just read in an article that a depressive mind is a noisy one.

23/05/21, 23:44: So, I am assuming that in such a situation taking it out on the Twitter, Facebook or Blogger may or may not be a good idea depending upon what you say, to whom you say and what words you use.

23/05/21, 23:44: Like at this moment, I am enjoying writing all of this.

End Notes

Drug 1: Trifluoperazine HCL Common Brand(S): Stelazine Generic Name(S): trifluoperazine Ref 1.1: webmd This medication is used to treat certain mental/mood disorders (such as schizophrenia, psychotic disorders). Trifluoperazine helps you to think more clearly, feel less nervous, and take part in everyday life. It can reduce aggressive behavior and the desire to hurt yourself/others. It may also help to decrease hallucinations (hearing/seeing things that are not there). Trifluoperazine is a psychiatric medication that belongs to the class of drugs called phenothiazine antipsychotics. It works by helping to restore the balance of certain natural substances in the brain.This medication has also been used for the short-term treatment of anxiety. However, there are safer drugs to treat anxiety that should be used first before trifluoperazine. Ref 1.2: Wikipedia Trifluoperazine, sold under a number of brand names, is a typical antipsychotic primarily used to treat schizophrenia. It may also be used short term in those with generalized anxiety disorder but is less preferred to benzodiazepines. It is of the phenothiazine chemical class. Drug 2: Trihexyphenidyl HCL Common Brand(S): Artane Generic Name(S): trihexyphenidyl Ref 2.1: webmd Trihexyphenidyl is used to treat symptoms of Parkinson's disease or involuntary movements due to the side effects of certain psychiatric drugs (antipsychotics such as chlorpromazine/haloperidol). Trihexyphenidyl belongs to a class of medication called anticholinergics that work by blocking a certain natural substance (acetylcholine). This helps decrease muscle stiffness, sweating, and the production of saliva, and helps improve walking ability in people with Parkinson's disease.Anticholinergics can stop severe muscle spasms of the back, neck, and eyes that are sometimes caused by psychiatric drugs. It can also decrease other side effects such as muscle stiffness/rigidity (extrapyramidal signs-EPS). It is not helpful in treating movement problems caused by tardive dyskinesia and may worsen them. Ref 2.2: Wikipedia Trihexyphenidyl, also known as benzhexol and trihex, is an antiparkinsonian agent of the antimuscarinic class. It was approved by the FDA for the treatment of Parkinson's in 2003. Tags: Behavioral Science, Emotional Intelligence, Journal, Medicine, Psychology, Science, Technology

20210501 - Monitoring effects of Trinicalm Plus



Index of Journals
Sat, May 1, 09:49 AM
Took a tablet of Trinicalm Plus.
SALT COMPOSITION: Trifluoperazine (5mg) + Trihexyphenidyl (2mg) [Read the end notes]

Sat, May 1, 10:20 AM
If you take Trini calm plus:
Your appetite and hunger would go down for the first two (to first four) hours.

Sat, May 1, 2021, 10:49 AM
One hour later of taking the pill:
Apart from the lack of motivation, you will observe that there is also a tint of sadness in your thoughts, feelings and emotions.

Assumption: The person who is taking this tablet would have some reason of taking it and it surely cannot be because he or she was happy.

End Notes

Drug 1: Trifluoperazine HCL Common Brand(S): Stelazine Generic Name(S): trifluoperazine Ref 1.1: webmd This medication is used to treat certain mental/mood disorders (such as schizophrenia, psychotic disorders). Trifluoperazine helps you to think more clearly, feel less nervous, and take part in everyday life. It can reduce aggressive behavior and the desire to hurt yourself/others. It may also help to decrease hallucinations (hearing/seeing things that are not there). Trifluoperazine is a psychiatric medication that belongs to the class of drugs called phenothiazine antipsychotics. It works by helping to restore the balance of certain natural substances in the brain.This medication has also been used for the short-term treatment of anxiety. However, there are safer drugs to treat anxiety that should be used first before trifluoperazine. Ref 1.2: Wikipedia Trifluoperazine, sold under a number of brand names, is a typical antipsychotic primarily used to treat schizophrenia. It may also be used short term in those with generalized anxiety disorder but is less preferred to benzodiazepines. It is of the phenothiazine chemical class. Drug 2: Trihexyphenidyl HCL Common Brand(S): Artane Generic Name(S): trihexyphenidyl Ref 2.1: webmd Trihexyphenidyl is used to treat symptoms of Parkinson's disease or involuntary movements due to the side effects of certain psychiatric drugs (antipsychotics such as chlorpromazine/haloperidol). Trihexyphenidyl belongs to a class of medication called anticholinergics that work by blocking a certain natural substance (acetylcholine). This helps decrease muscle stiffness, sweating, and the production of saliva, and helps improve walking ability in people with Parkinson's disease.Anticholinergics can stop severe muscle spasms of the back, neck, and eyes that are sometimes caused by psychiatric drugs. It can also decrease other side effects such as muscle stiffness/rigidity (extrapyramidal signs-EPS). It is not helpful in treating movement problems caused by tardive dyskinesia and may worsen them. Ref 2.2: Wikipedia Trihexyphenidyl, also known as benzhexol and trihex, is an antiparkinsonian agent of the antimuscarinic class. It was approved by the FDA for the treatment of Parkinson's in 2003. Tags: Behavioral Science, Emotional Intelligence, Journal, Medicine, Psychology, Science, Technology

Thursday, June 3, 2021

Petril Beta - 10 (Combination Medicine)


Petril Beta 10 Tablet
Prescription: Required
MANUFACTURER: Micro Labs Ltd
SALT COMPOSITION: Clonazepam (0.25mg) + Propranolol (10mg)
STORAGE: Store below 30°C

Introduction
Petril Beta 10 Tablet is a prescription medicine used to treat anxiety disorder. It calms the brain by decreasing abnormal and excessive activity of the nerve cells. It blocks the action of certain chemical messengers on the heart and blood vessels. This reduces heart rate and blood pressure.

Petril Beta 10 Tablet should be taken on an empty stomach. However, it is advised to take it at the same time each day as this helps to maintain a consistent level of medicine in the body. Take this medicine in the dose and duration advised by your doctor as it has high habit-forming potential. If you miss a dose of this medicine, take it as soon as you remember. Finish the full course of treatment even if you feel better. It is important not to stop taking this medicine suddenly as it may cause withdrawal symptoms. Avoid consuming alcohol while taking this medicine as this may reduce its effectiveness.

Some common side effects of this medicine include confusion, memory impairment, slow heart rate, tiredness, and nightmare.  It may also cause dizziness and sleepiness. So, do not drive or do anything that requires mental focus until you know how this medicine affects you.  It is important to inform your doctor if you develop any unusual changes in mood or depression as this medicine may cause suicidal thoughts.

Take caution while taking medicine if you are suffering from liver disease. Your doctor should also know about all other medicines you are taking as many of these may make this medicine less effective or change the way it works. Inform your doctor if you are pregnant, planning pregnancy or breastfeeding.

BENEFITS OF PETRIL BETA TABLET

In Anxiety disorder
Petril Beta 10 Tablet stops your brain from releasing the chemicals that make you feel anxious so it can reduce the symptoms of excessive anxiety and worry. It can also reduce feelings of restlessness, tiredness, difficulty concentrating, feeling irritable and sleep problems that often come with Generalised Anxiety Disorder. Petril Beta 10 Tablet will therefore help you go about your daily activities more easily and be more productive. Keep taking this medicine even if you feel well. Stopping suddenly can cause serious problems.

SIDE EFFECTS OF PETRIL BETA TABLET

Most side effects do not require any medical attention and disappear as your body adjusts to the medicine. Consult your doctor if they persist or if you’re worried about them.

Common side effects of Petril Beta:

1. Confusion
2. Memory impairment
3. Drowsiness
4. Slow heart rate
5. Tiredness
6. Uncoordinated body movements
7. Nightmare
8. Cold extremities

HOW PETRIL BETA TABLET WORKS

Petril Beta 10 Tablet is a combination of two medicines: Clonazepam and Propranolol. 

% Clonazepam is a benzodiazepine. It works by increasing the action of GABA, a chemical messenger which suppresses the abnormal and excessive activity of the nerve cells in brain. 

% Propranolol is a beta blocker which blocks the action of certain chemical messengers on the heart and blood vessels. This reduces heart rate, blood pressure, and strain on the heart.
Tags: Medicine,Science,

Meet Ann Mumo (from Kenya)


Ann Mumo was born in October 27, 1998 in Mumbuni, Machakos county to James and Judith. I was the firstborn. Later mum gave birth to a baby boy and later two girls. My mother was a farmer that time but because of her having kids she had to settle down and take care of us. My father, a long distance truck driver, was away at the time of birth. On night I was born, heavy rain cut off my homestead from the rest of the county. My grandmother had to play the midwife. I grew up tending sheep in the company of my uncle Jackson. When I was five, I was gored by a he-goat. Some older girls who were coming from school rescued me. An ugly scar on my thigh remained for the rest of my life. I respect my parents and everyone older than me. I attended Kasinga primary school. On my first day in school I cried torrents when I saw my mum as she walked away. I went home later in the day and swore never to return to school again. With my father's coaxing I grew to like school. At school I enjoyed singing and listening to bible stories. I worked hard to became the top performer in my local school. Eventually I finally completed my primary education where I got 285 marks as a mean grade. Even though my parents were poor they struggled for my high school fee. At Kinanie high school where I joined at the age of fourteen, the classmates used to call me 'full stop' owing to my snail stature. I excelled in academic and was actively involved in volleyball and basketball. I finally attained a mean grade of C+. After high school, I worked as an insurance saleswoman waiting for my parents to find my fee. I later joined University of Nairobi in 2018 taking biomedical nursing till now.
~ ~ ~
Tags: Communication Skills,Success Story,Biography,Politics,Kenya,

Wednesday, June 2, 2021

Command 'git clone'



Cloning a repository with only the URL

(base) ~\ws>git clone https://github.com/ashishjain1547/repo_for_testing.git Cloning into 'repo_for_testing'... Logon failed, use ctrl+c to cancel basic credential prompt. Username for 'https://github.com': ashishjain1547@gmail.com Password for 'https://ashishjain1547@gmail.com@github.com': remote: Enumerating objects: 16, done. remote: Counting objects: 100% (16/16), done. remote: Compressing objects: 100% (9/9), done. remote: Total 16 (delta 5), reused 10 (delta 3), pack-reused 0 Unpacking objects: 100% (16/16), 5.70 KiB | 12.00 KiB/s, done. (base) ~\ws>tree /f Folder PATH listing for volume Windows Volume serial number is 8139-90C0 C:. └───repo_for_testing .gitignore LICENSE newFile.txt README.md test_file_20210528.txt (base) ~\ws>cd repo_for_testing (base) ~\ws\repo_for_testing>git branch * main (base) ~\ws\repo_for_testing>git branch -a * main remotes/origin/HEAD -> origin/main remotes/origin/main remotes/origin/test_branch (base) ~\ws\repo_for_testing>git branch -r origin/HEAD -> origin/main origin/main origin/test_branch (base) ~\ws\repo_for_testing>git branch -D fatal: branch name required

Cloning a repository with URL and branch name.

(base) ~\ws_diff_branch>git clone --branch test_branch https://github.com/ashishjain1547/repo_for_testing.git Cloning into 'repo_for_testing'... remote: Enumerating objects: 16, done. remote: Counting objects: 100% (16/16), done. remote: Compressing objects: 100% (9/9), done. remote: Total 16 (delta 5), reused 10 (delta 3), pack-reused 0 Unpacking objects: 100% (16/16), 5.70 KiB | 8.00 KiB/s, done. (base) ~\ws_diff_branch>cd repo_for_testing (base) ~\ws_diff_branch\repo_for_testing>git branch * test_branch (base) ~\ws_diff_branch\repo_for_testing>git branch -a * test_branch remotes/origin/HEAD -> origin/main remotes/origin/main remotes/origin/test_branch (base) ~\ws_diff_branch\repo_for_testing>git branch -r origin/HEAD -> origin/main origin/main origin/test_branch

Notes From Bitbucket

#1 Cloning to a specific folder git clone <repo> <directory> Clone the repository located at <repo> into the folder called ~<directory>! on the local machine. #2 Cloning a specific tag git clone --branch <tag> <repo> Clone the repository located at <repo> and only clone the ref for <tag>. #3 Shallow clone git clone -depth=1 <repo> Clone the repository located at <repo> and only clone the history of commits specified by the option depth=1. In this example a clone of <repo> is made and only the most recent commit is included in the new cloned Repo. Shallow cloning is most useful when working with repos that have an extensive commit history. An extensive commit history may cause scaling problems such as disk space usage limits and long wait times when cloning. A Shallow clone can help alleviate these scaling issues. Ref: Bitbucket [20210602] Tags: Technology,GitHub,Cloud,Windows CMD,

Monday, May 31, 2021

pip's dependency resolver and dependency conflicts, also logs from pipdeptree



We have two YAML files:

1. rasa_env.yml

name: rasa_env
channels:
- conda-forge
dependencies:
- spacy
- python=3.8
- pip
- pipdeptree

2. snorkel_env.yml

name: snorkel_env
channels:
- conda-forge
dependencies:
- python=3.8
- pip
- pipdeptree
- snorkel

(base) CMD>conda env list

# conda environments:
#
base                  *  e:\Anaconda3
env_py_36                e:\Anaconda3\envs\env_py_36
pegasus                  e:\Anaconda3\envs\pegasus
py39                     e:\Anaconda3\envs\py39
selenium                 e:\Anaconda3\envs\selenium
string_env               e:\Anaconda3\envs\string_env
tf                       e:\Anaconda3\envs\tf 

(base) ~>DOSKEY ls=dir /b
(base) ~>ls

rasa_env.yml
snorkel_env.yml

(base) ~>conda env create -f rasa_env.yml

Collecting package metadata (repodata.json): done
Solving environment: done

Downloading and Extracting Packages
numpy-1.20.3         | 5.3 MB    | # | 100%
cython-blis-0.7.4    | 5.6 MB    | # | 100%
protobuf-3.17.1      | 260 KB    | # | 100%
cryptography-3.4.7   | 706 KB    | # | 100%
multidict-5.1.0      | 63 KB     | # | 100%
grpcio-1.38.0        | 2.0 MB    | # | 100%
botocore-1.20.84     | 4.7 MB    | # | 100%
python-3.8.10        | 19.3 MB   | # | 100%
pydantic-1.7.3       | 164 KB    | # | 100%
preshed-3.0.5        | 97 KB     | # | 100%
setuptools-49.6.0    | 962 KB    | # | 100%
murmurhash-1.0.5     | 26 KB     | # | 100%
wincertstore-0.2     | 15 KB     | # | 100%
aiohttp-3.7.4        | 596 KB    | # | 100%
spacy-3.0.6          | 9.2 MB    | # | 100%
googleapis-common-pr | 125 KB    | # | 100%
markupsafe-2.0.1     | 25 KB     | # | 100%
pysocks-1.7.1        | 28 KB     | # | 100%
yarl-1.5.1           | 136 KB    | # | 100%
click-8.0.1          | 146 KB    | # | 100%
catalogue-2.0.4      | 31 KB     | # | 100%
thinc-8.0.3          | 936 KB    | # | 100%
srsly-2.4.1          | 517 KB    | # | 100%
libprotobuf-3.17.1   | 2.3 MB    | # | 100%
urllib3-1.26.5       | 99 KB     | # | 100%
brotlipy-0.7.0       | 368 KB    | # | 100%
tqdm-4.61.0          | 80 KB     | # | 100%
cffi-1.14.5          | 228 KB    | # | 100%
boto3-1.17.84        | 70 KB     | # | 100%
cymem-2.0.5          | 40 KB     | # | 100%
chardet-4.0.0        | 224 KB    | # | 100%
jinja2-3.0.1         | 99 KB     | # | 100%
pip-21.1.2           | 1.1 MB    | # | 100%
google-crc32c-1.1.2  | 27 KB     | # | 100%
win_inet_pton-1.1.0  | 8 KB      | # | 100%
Preparing transaction: done
... 
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#     $ conda activate rasa_env
# To deactivate an active environment, use
#     $ conda deactivate

=== === === === === === === === === ===

(base) ~>conda env create -f snorkel_env.yml
Collecting package metadata (repodata.json): done
Solving environment: done

Downloading and Extracting Packages
munkres-1.1.4        | 12 KB     | # | 100%
scikit-learn-0.24.2  | 6.6 MB    | # | 100%
mkl-service-2.3.0    | 51 KB     | # | 100%
networkx-2.3         | 1.1 MB    | # | 100%
importlib-metadata-4 | 31 KB     | # | 100%
absl-py-0.12.0       | 96 KB     | # | 100%
markdown-3.3.4       | 67 KB     | # | 100%
pytorch-1.4.0        | 81.0 MB   | # | 100%
scipy-1.6.3          | 23.3 MB   | # | 100%
tensorboard-1.15.0   | 3.8 MB    | # | 100%
ninja-1.10.2         | 273 KB    | # | 100%
numpy-1.19.5         | 4.9 MB    | # | 100%
werkzeug-2.0.1       | 219 KB    | # | 100%
snorkel-0.9.7        | 93 KB     | # | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#     $ conda activate snorkel_env
# To deactivate an active environment, use
#     $ conda deactivate

(base) ~>

=== === === === === === === === === ===

(base) ~>conda env list
# conda environments:
#
base                  *  e:\Anaconda3
env_py_36                e:\Anaconda3\envs\env_py_36
py39                     e:\Anaconda3\envs\py39
rasa_env                 e:\Anaconda3\envs\rasa_env 
selenium                 e:\Anaconda3\envs\selenium
snorkel_env              e:\Anaconda3\envs\snorkel_env 
string_env               e:\Anaconda3\envs\string_env
tf                       e:\Anaconda3\envs\tf

=== === === === === === === === === ===

'pipdeptree' Logs Before Installing Rasa

(base) C:\Users\Ashish Jain>conda activate snorkel_env (snorkel_env) C:\Users\Ashish Jain>pipdeptree -r -p rasa (snorkel_env) C:\Users\Ashish Jain>pipdeptree -r -p snorkel snorkel==0.9.7 (snorkel_env) C:\Users\Ashish Jain> === === === === === === === === === ===

OSError: [WinError 5] Access is denied: When Trying to Install Rasa Without "--user" Argument

(rasa_env) ~>pip install rasa Collecting rasa ... ERROR: Could not install packages due to an OSError: [WinError 5] Access is denied: 'e:\\programfiles\\anaconda3\\envs\\rasa_env\\scripts\\tqdm.exe' Consider using the `--user` option or check the permissions. (rasa_env) ~> === === === === === === === === === ===

ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour can be source of dependency conflicts.

(base) C:\Users\Ashish Jain>conda activate snorkel_env (snorkel_env) C:\Users\Ashish Jain>pip install rasa --user Requirement already satisfied: rasa in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (2.6.3) Requirement already satisfied: SQLAlchemy<1.4.0,>=1.3.3 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from rasa) (1.3.24) Requirement already satisfied: fbmessenger<6.1.0,>=6.0.0 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from rasa) (6.0.0) Collecting sanic<21.0.0,>=19.12.2 Using cached sanic-20.12.3-py3-none-any.whl (80 kB) Requirement already satisfied: matplotlib<3.4,>=3.1 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from rasa) (3.3.4) Requirement already satisfied: absl-py<0.13,>=0.9 in e:\anaconda3\envs\snorkel_env\lib\site-packages (from rasa) (0.12.0) Collecting colorama<0.5.0,>=0.4.4 Using cached colorama-0.4.4-py2.py3-none-any.whl (16 kB) Requirement already satisfied: scikit-learn<0.25,>=0.22 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from rasa) (0.24.2) Requirement already satisfied: rasa-sdk<3.0.0,>=2.6.0 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from rasa) (2.6.0) Collecting aiohttp!=3.7.4.post0,<3.8,>=3.6 Downloading aiohttp-3.7.4-cp38-cp38-win_amd64.whl (635 kB) |█| 635 kB 437 kB/s Requirement already satisfied: pykwalify<1.9,>=1.7 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from rasa) (1.8.0) Requirement already satisfied: python-engineio!=5.0.0,<6,>=4 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from rasa) (4.2.0) Requirement already satisfied: oauth2client==4.1.3 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from rasa) (4.1.3) Collecting packaging<21.0,>=20.0 Downloading packaging-20.9-py2.py3-none-any.whl (40 kB) |█| 40 kB 657 kB/s Requirement already satisfied: aio-pika<7.0.0,>=6.7.1 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from rasa) (6.8.0) Requirement already satisfied: tensorflow-estimator<2.4,>=2.3 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from rasa) (2.3.0) Requirement already satisfied: tensorflow_hub<0.11,>=0.10 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from rasa) (0.10.0) Requirement already satisfied: jsonschema<3.3,>=3.2 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from rasa) (3.2.0) Requirement already satisfied: questionary<1.10.0,>=1.5.1 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from rasa) (1.9.0) Requirement already satisfied: python-socketio<6,>=4.4 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from rasa) (5.3.0) Requirement already satisfied: tensorflow-addons<=0.12,>=0.10 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from rasa) (0.12.0) Requirement already satisfied: colorclass<2.3,>=2.2 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from rasa) (2.2.0) Requirement already satisfied: colorhash<1.1.0,>=1.0.2 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from rasa) (1.0.3) Requirement already satisfied: sanic-cors<0.11.0,>=0.10.0b1 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from rasa) (0.10.0.post3) Requirement already satisfied: tqdm<4.60,>=4.31 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from rasa) (4.59.0) Requirement already satisfied: pymongo[srv,tls]<3.11,>=3.8 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from rasa) (3.10.1) Requirement already satisfied: rocketchat_API<1.16.0,>=0.6.31 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from rasa) (1.15.0) Requirement already satisfied: sanic-jwt<2.0,>=1.3.2 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from rasa) (1.5.0) Collecting numpy<1.19,>=1.16 Using cached numpy-1.18.5-cp38-cp38-win_amd64.whl (12.8 MB) Requirement already satisfied: async_generator<1.11,>=1.10 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from rasa) (1.10) Requirement already satisfied: joblib<0.16.0,>=0.15.1 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from rasa) (0.15.1) Requirement already satisfied: mattermostwrapper<2.3,>=2.2 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from rasa) (2.2) Requirement already satisfied: regex<2020.10,>=2020.6 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from rasa) (2020.9.27) Collecting requests<3.0,>=2.23 Downloading requests-2.25.1-py2.py3-none-any.whl (61 kB) |█| 61 kB 773 kB/s Requirement already satisfied: networkx<2.6,>=2.4 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from rasa) (2.5.1) Requirement already satisfied: coloredlogs<16,>=10 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from rasa) (15.0) Requirement already satisfied: psycopg2-binary<2.9.0,>=2.8.2 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from rasa) (2.8.6) Requirement already satisfied: PyJWT[crypto]<3.0.0,>=2.0.0 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from rasa) (2.1.0) Requirement already satisfied: ruamel.yaml<0.17.0,>=0.16.5 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from rasa) (0.16.13) Requirement already satisfied: sklearn-crfsuite<0.4,>=0.3 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from rasa) (0.3.6) Requirement already satisfied: tensorflow<2.4,>=2.3 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from rasa) (2.3.2) Requirement already satisfied: jsonpickle<2.1,>=1.3 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from rasa) (2.0.0) Requirement already satisfied: prompt-toolkit<3.0,>=2.0 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from rasa) (2.0.10) Requirement already satisfied: scipy<2.0.0,>=1.4.1 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from rasa) (1.6.3) Requirement already satisfied: sentry-sdk<0.20.0,>=0.17.0 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from rasa) (0.19.5) Requirement already satisfied: terminaltables<3.2.0,>=3.1.0 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from rasa) (3.1.0) Requirement already satisfied: apscheduler<3.8,>=3.6 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from rasa) (3.7.0) Requirement already satisfied: redis<4.0,>=3.4 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from rasa) (3.5.3) Requirement already satisfied: setuptools>=41.0.0 in e:\anaconda3\envs\snorkel_env\lib\site-packages (from rasa) (49.6.0.post20210108) Requirement already satisfied: slackclient<3.0.0,>=2.0.0 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from rasa) (2.9.3) Requirement already satisfied: webexteamssdk<1.7.0,>=1.1.1 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from rasa) (1.6) Requirement already satisfied: pydot<1.5,>=1.4 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from rasa) (1.4.2) Requirement already satisfied: cloudpickle<1.7,>=1.2 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from rasa) (1.6.0) Requirement already satisfied: kafka-python<3.0,>=1.4 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from rasa) (2.0.2) Collecting attrs<20.4,>=19.3 Using cached attrs-20.3.0-py2.py3-none-any.whl (49 kB) Requirement already satisfied: python-dateutil<2.9,>=2.8 in e:\anaconda3\envs\snorkel_env\lib\site-packages (from rasa) (2.8.1) Requirement already satisfied: tensorflow-probability<0.12,>=0.11 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from rasa) (0.11.1) Requirement already satisfied: twilio<6.51,>=6.26 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from rasa) (6.50.1) Requirement already satisfied: ujson<5.0,>=1.35 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from rasa) (4.0.2) Collecting boto3<2.0,>=1.12 Downloading boto3-1.17.84-py2.py3-none-any.whl (131 kB) |█| 131 kB 1.3 MB/s Requirement already satisfied: pyTelegramBotAPI<4.0.0,>=3.7.3 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from rasa) (3.7.9) Requirement already satisfied: pytz<2022.0,>=2019.1 in e:\anaconda3\envs\snorkel_env\lib\site-packages (from rasa) (2021.1) Collecting rsa>=3.1.4 Downloading rsa-4.7.2-py3-none-any.whl (34 kB) Collecting pyasn1>=0.1.7 Using cached pyasn1-0.4.8-py2.py3-none-any.whl (77 kB) Requirement already satisfied: six>=1.6.1 in e:\anaconda3\envs\snorkel_env\lib\site-packages (from oauth2client==4.1.3->rasa) (1.16.0) Requirement already satisfied: httplib2>=0.9.1 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from oauth2client==4.1.3->rasa) (0.19.1) Collecting pyasn1-modules>=0.0.5 Using cached pyasn1_modules-0.2.8-py2.py3-none-any.whl (155 kB) Collecting yarl Downloading yarl-1.6.3-cp38-cp38-win_amd64.whl (125 kB) |█| 125 kB 1.3 MB/s Requirement already satisfied: aiormq<4,>=3.2.3 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from aio-pika<7.0.0,>=6.7.1->rasa) (3.3.1) Collecting typing-extensions>=3.6.5 Downloading typing_extensions-3.10.0.0-py3-none-any.whl (26 kB) Collecting chardet<4.0,>=2.0 Using cached chardet-3.0.4-py2.py3-none-any.whl (133 kB) Collecting async-timeout<4.0,>=3.0 Downloading async_timeout-3.0.1-py3-none-any.whl (8.2 kB) Collecting multidict<7.0,>=4.5 Downloading multidict-5.1.0-cp38-cp38-win_amd64.whl (48 kB) |█| 48 kB 564 kB/s Collecting pamqp==2.3.0 Using cached pamqp-2.3.0-py2.py3-none-any.whl (28 kB) Collecting tzlocal~=2.0 Using cached tzlocal-2.1-py2.py3-none-any.whl (16 kB) Collecting jmespath<1.0.0,>=0.7.1 Downloading jmespath-0.10.0-py2.py3-none-any.whl (24 kB) Collecting botocore<1.21.0,>=1.20.84 Downloading botocore-1.20.84-py2.py3-none-any.whl (7.6 MB) |█| 7.6 MB 3.3 MB/s Collecting s3transfer<0.5.0,>=0.4.0 Downloading s3transfer-0.4.2-py2.py3-none-any.whl (79 kB) |█| 79 kB 517 kB/s Collecting urllib3<1.27,>=1.25.4 Downloading urllib3-1.26.5-py2.py3-none-any.whl (138 kB) |█| 138 kB 6.4 MB/s Collecting humanfriendly>=9.1 Using cached humanfriendly-9.1-py2.py3-none-any.whl (86 kB) Collecting pyparsing<3,>=2.4.2 Using cached pyparsing-2.4.7-py2.py3-none-any.whl (67 kB) Collecting pyreadline Using cached pyreadline-2.1-py3-none-any.whl Requirement already satisfied: pyrsistent>=0.14.0 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from jsonschema<3.3,>=3.2->rasa) (0.17.3) Requirement already satisfied: cycler>=0.10 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from matplotlib<3.4,>=3.1->rasa) (0.10.0) Requirement already satisfied: kiwisolver>=1.0.1 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from matplotlib<3.4,>=3.1->rasa) (1.3.1) Requirement already satisfied: pillow>=6.2.0 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from matplotlib<3.4,>=3.1->rasa) (8.2.0) Requirement already satisfied: decorator<5,>=4.3 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from networkx<2.6,>=2.4->rasa) (4.4.2) Collecting wcwidth Using cached wcwidth-0.2.5-py2.py3-none-any.whl (30 kB) Collecting cryptography<4.0.0,>=3.3.1 Downloading cryptography-3.4.7-cp36-abi3-win_amd64.whl (1.6 MB) |█| 1.6 MB 1.7 MB/s Requirement already satisfied: cffi>=1.12 in e:\anaconda3\envs\snorkel_env\lib\site-packages (from cryptography<4.0.0,>=3.3.1->PyJWT[crypto]<3.0.0,>=2.0.0->rasa) (1.14.5) Requirement already satisfied: pycparser in e:\anaconda3\envs\snorkel_env\lib\site-packages (from cffi>=1.12->cryptography<4.0.0,>=3.3.1->PyJWT[crypto]<3.0.0,>=2.0.0->rasa) (2.20) Requirement already satisfied: docopt>=0.6.2 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from pykwalify<1.9,>=1.7->rasa) (0.6.2) Requirement already satisfied: dnspython<2.0.0,>=1.16.0 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from pymongo[srv,tls]<3.11,>=3.8->rasa) (1.16.0) Requirement already satisfied: bidict>=0.21.0 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from python-socketio<6,>=4.4->rasa) (0.21.2) Requirement already satisfied: certifi>=2017.4.17 in e:\anaconda3\envs\snorkel_env\lib\site-packages (from requests<3.0,>=2.23->rasa) (2020.12.5) Collecting idna<3,>=2.5 Using cached idna-2.10-py2.py3-none-any.whl (58 kB) Collecting ruamel.yaml.clib>=0.1.2 Using cached ruamel.yaml.clib-0.2.2-cp38-cp38-win_amd64.whl (120 kB) Collecting httptools>=0.0.10 Using cached httptools-0.2.0-cp38-cp38-win_amd64.whl (141 kB) Collecting httpx==0.15.4 Using cached httpx-0.15.4-py3-none-any.whl (65 kB) Collecting aiofiles>=0.6.0 Using cached aiofiles-0.7.0-py3-none-any.whl (13 kB) Collecting websockets<9.0,>=8.1 Using cached websockets-8.1-cp38-cp38-win_amd64.whl (66 kB) Collecting httpcore==0.11.* Using cached httpcore-0.11.1-py3-none-any.whl (52 kB) Collecting rfc3986[idna2008]<2,>=1.3 Using cached rfc3986-1.5.0-py2.py3-none-any.whl (31 kB) Collecting sniffio Using cached sniffio-1.2.0-py3-none-any.whl (10 kB) Collecting h11<0.10,>=0.8 Using cached h11-0.9.0-py2.py3-none-any.whl (53 kB) Collecting sanic-plugins-framework>=0.9.0 Using cached Sanic_Plugins_Framework-0.9.5-py2.py3-none-any.whl (23 kB) Requirement already satisfied: threadpoolctl>=2.0.0 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from scikit-learn<0.25,>=0.22->rasa) (2.1.0) Requirement already satisfied: python-crfsuite>=0.8.3 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from sklearn-crfsuite<0.4,>=0.3->rasa) (0.9.7) Requirement already satisfied: tabulate in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from sklearn-crfsuite<0.4,>=0.3->rasa) (0.8.9) Requirement already satisfied: astunparse==1.6.3 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from tensorflow<2.4,>=2.3->rasa) (1.6.3) Requirement already satisfied: opt-einsum>=2.3.2 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from tensorflow<2.4,>=2.3->rasa) (3.3.0) Requirement already satisfied: google-pasta>=0.1.8 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from tensorflow<2.4,>=2.3->rasa) (0.2.0) Requirement already satisfied: gast==0.3.3 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from tensorflow<2.4,>=2.3->rasa) (0.3.3) Requirement already satisfied: wheel>=0.26 in e:\anaconda3\envs\snorkel_env\lib\site-packages (from tensorflow<2.4,>=2.3->rasa) (0.36.2) Requirement already satisfied: grpcio>=1.8.6 in e:\anaconda3\envs\snorkel_env\lib\site-packages (from tensorflow<2.4,>=2.3->rasa) (1.38.0) Requirement already satisfied: h5py<2.11.0,>=2.10.0 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from tensorflow<2.4,>=2.3->rasa) (2.10.0) Requirement already satisfied: protobuf>=3.9.2 in e:\anaconda3\envs\snorkel_env\lib\site-packages (from tensorflow<2.4,>=2.3->rasa) (3.17.1) Requirement already satisfied: termcolor>=1.1.0 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from tensorflow<2.4,>=2.3->rasa) (1.1.0) Collecting wrapt>=1.11.1 Using cached wrapt-1.12.1-cp38-cp38-win_amd64.whl Requirement already satisfied: tensorboard<3,>=2.3.0 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from tensorflow<2.4,>=2.3->rasa) (2.5.0) Requirement already satisfied: keras-preprocessing<1.2,>=1.1.1 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from tensorflow<2.4,>=2.3->rasa) (1.1.2) Requirement already satisfied: markdown>=2.6.8 in e:\anaconda3\envs\snorkel_env\lib\site-packages (from tensorboard<3,>=2.3.0->tensorflow<2.4,>=2.3->rasa) (3.3.4) Collecting tensorboard-data-server<0.7.0,>=0.6.0 Using cached tensorboard_data_server-0.6.1-py3-none-any.whl (2.4 kB) Requirement already satisfied: werkzeug>=0.11.15 in e:\anaconda3\envs\snorkel_env\lib\site-packages (from tensorboard<3,>=2.3.0->tensorflow<2.4,>=2.3->rasa) (2.0.1) Collecting google-auth<2,>=1.6.3 Downloading google_auth-1.30.1-py2.py3-none-any.whl (146 kB) |█| 146 kB 3.3 MB/s Collecting tensorboard-plugin-wit>=1.6.0 Using cached tensorboard_plugin_wit-1.8.0-py3-none-any.whl (781 kB) Collecting google-auth-oauthlib<0.5,>=0.4.1 Using cached google_auth_oauthlib-0.4.4-py2.py3-none-any.whl (18 kB) Collecting cachetools<5.0,>=2.0.0 Downloading cachetools-4.2.2-py3-none-any.whl (11 kB) Collecting requests-oauthlib>=0.7.0 Using cached requests_oauthlib-1.3.0-py2.py3-none-any.whl (23 kB) Collecting oauthlib>=3.0.0 Using cached oauthlib-3.1.0-py2.py3-none-any.whl (147 kB) Collecting typeguard>=2.7 Using cached typeguard-2.12.0-py3-none-any.whl (16 kB) Requirement already satisfied: dm-tree in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from tensorflow-probability<0.12,>=0.11->rasa) (0.1.6) Requirement already satisfied: requests-toolbelt in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from webexteamssdk<1.7.0,>=1.1.1->rasa) (0.9.1) Requirement already satisfied: future in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from webexteamssdk<1.7.0,>=1.1.1->rasa) (0.18.2) Installing collected packages: sniffio, rfc3986, idna, h11, urllib3, pyasn1, httpcore, chardet, websockets, rsa, requests, pyasn1-modules, oauthlib, multidict, httpx, httptools, cachetools, aiofiles, sanic, requests-oauthlib, pyreadline, jmespath, google-auth, yarl, wcwidth, typing-extensions, tensorboard-plugin-wit, tensorboard-data-server, sanic-plugins-framework, ruamel.yaml.clib, pyparsing, pamqp, numpy, humanfriendly, google-auth-oauthlib, botocore, attrs, async-timeout, wrapt, tzlocal, typeguard, s3transfer, cryptography, aiohttp, packaging, colorama, boto3

ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. snorkel 0.9.7 requires networkx<2.4,>=2.2, but you have networkx 2.5.1 which is incompatible. snorkel 0.9.7 requires tensorboard<2.0.0,>=1.14.0, but you have tensorboard 2.5.0 which is incompatible.

Successfully installed aiofiles-0.7.0 aiohttp-3.7.4 async-timeout-3.0.1 attrs-20.3.0 boto3-1.17.84 botocore-1.20.84 cachetools-4.2.2 chardet-3.0.4 colorama-0.4.4 cryptography-3.4.7 google-auth-1.30.1 google-auth-oauthlib-0.4.4 h11-0.9.0 httpcore-0.11.1 httptools-0.2.0 httpx-0.15.4 humanfriendly-9.1 idna-2.10 jmespath-0.10.0 multidict-5.1.0 numpy-1.18.5 oauthlib-3.1.0 packaging-20.9 pamqp-2.3.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pyparsing-2.4.7 pyreadline-2.1 requests-2.25.1 requests-oauthlib-1.3.0 rfc3986-1.5.0 rsa-4.7.2 ruamel.yaml.clib-0.2.2 s3transfer-0.4.2 sanic-20.12.3 sanic-plugins-framework-0.9.5 sniffio-1.2.0 tensorboard-data-server-0.6.1 tensorboard-plugin-wit-1.8.0 typeguard-2.12.0 typing-extensions-3.10.0.0 tzlocal-2.1 urllib3-1.26.5 wcwidth-0.2.5 websockets-8.1 wrapt-1.12.1 yarl-1.6.3 (snorkel_env) C:\Users\Ashish Jain>pip show rasa Name: rasa Version: 2.6.3 Summary: Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants Home-page: https://rasa.com Author: Rasa Technologies GmbH Author-email: hi@rasa.com License: Apache-2.0 Location: c:\users\ashish jain\appdata\roaming\python\python38\site-packages Requires: python-socketio, async-generator, tqdm, requests, matplotlib, sentry-sdk, sklearn-crfsuite, scikit-learn, twilio, pytz, ruamel.yaml, jsonpickle, mattermostwrapper, prompt-toolkit, cloudpickle, networkx, packaging, rocketchat-API, colorhash, tensorflow, fbmessenger, psycopg2-binary, pymongo, PyJWT, rasa-sdk, tensorflow-addons, regex, python-engineio, webexteamssdk, oauth2client, pydot, python-dateutil, sanic-jwt, tensorflow-hub, joblib, pyTelegramBotAPI, boto3, pykwalify, tensorflow-estimator, apscheduler, attrs, kafka-python, redis, sanic, tensorflow-probability, SQLAlchemy, questionary, ujson, aio-pika, terminaltables, scipy, colorama, colorclass, sanic-cors, absl-py, coloredlogs, jsonschema, numpy, setuptools, slackclient, aiohttp Required-by: (snorkel_env) C:\Users\Ashish Jain>pip show snorkel Name: snorkel Version: 0.9.7 Summary: A system for quickly generating training data with weak supervision Home-page: https://github.com/snorkel-team/snorkel Author: None Author-email: None License: Apache License 2.0 Location: e:\anaconda3\envs\snorkel_env\lib\site-packages Requires: numpy, networkx, scikit-learn, tqdm, torch, munkres, scipy, tensorboard, pandas Required-by: (snorkel_env) C:\Users\Ashish Jain>rasa usage: rasa [-h] [--version] {init,run,shell,train,interactive,telemetry,test,visualize,data,export,x} ... Rasa command line interface. Rasa allows you to build your own conversational assistants 🤖. The 'rasa' command allows you to easily run most common commands like creating a new bot, training or evaluating models. positional arguments: {init,run,shell,train,interactive,telemetry,test,visualize,data,export,x} Rasa commands init Creates a new project, with example training data, actions, and config files. run Starts a Rasa server with your trained model. shell Loads your trained model and lets you talk to your assistant on the command line. train Trains a Rasa model using your NLU data and stories. interactive Starts an interactive learning session to create new training data for a Rasa model by chatting. telemetry Configuration of Rasa Open Source telemetry reporting. test Tests Rasa models using your test NLU data and stories. visualize Visualize stories. data Utils for the Rasa training files. export Export conversations using an event broker. optional arguments: -h, --help show this help message and exit --version Print installed Rasa version

Trying 'rasa init' in 'snorkel_env'.

(snorkel_env) ~\test>rasa init Welcome to Rasa! 🤖 To get started quickly, an initial project will be created. If you need some help, check out the documentation at https://rasa.com/docs/rasa. Now let's start! 👇🏽 ? Please enter a path where the project will be created [default: current directory] Created project directory at '~\test'. Finished creating project structure. ? Do you want to train an initial model? 💪🏽 No No problem 👍🏼. You can also train a model later by going to the project directory and running 'rasa train'. (snorkel_env) ~\test>dir /b actions config.yml credentials.yml data domain.yml endpoints.yml tests (snorkel_env) ~\test> === === === === === === === === === === (rasa_env) ~>pip install snorkel WARNING: Ignoring invalid distribution -qdm (e:\anaconda3\envs\rasa_env\lib\site-packages) WARNING: Ignoring invalid distribution -qdm (e:\anaconda3\envs\rasa_env\lib\site-packages) Collecting snorkel Downloading snorkel-0.9.7-py3-none-any.whl (145 kB) |█| 145 kB 819 kB/s Collecting torch<2.0.0,>=1.2.0 Downloading torch-1.8.1-cp38-cp38-win_amd64.whl (190.5 MB) |█| 190.5 MB 27 kB/s Requirement already satisfied: numpy<1.20.0,>=1.16.5 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from snorkel) (1.18.5) Collecting tensorboard<2.0.0,>=1.14.0 Downloading tensorboard-1.15.0-py3-none-any.whl (3.8 MB) |█| 3.8 MB 3.3 MB/s Collecting munkres>=1.0.6 Downloading munkres-1.1.4-py2.py3-none-any.whl (7.0 kB) Collecting pandas<2.0.0,>=1.0.0 Downloading pandas-1.2.4-cp38-cp38-win_amd64.whl (9.3 MB) |█| 9.3 MB 1.3 MB/s Requirement already satisfied: scipy<2.0.0,>=1.2.0 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from snorkel) (1.6.3) Requirement already satisfied: scikit-learn<0.25.0,>=0.20.2 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from snorkel) (0.24.2) Collecting networkx<2.4,>=2.2 Downloading networkx-2.3.zip (1.7 MB) |█| 1.7 MB 6.4 MB/s Requirement already satisfied: tqdm<5.0.0,>=4.33.0 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from snorkel) (4.59.0) Requirement already satisfied: decorator>=4.3.0 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from networkx<2.4,>=2.2->snorkel) (4.4.2) Requirement already satisfied: python-dateutil>=2.7.3 in e:\anaconda3\envs\rasa_env\lib\site-packages (from pandas<2.0.0,>=1.0.0->snorkel) (2.8.1) Requirement already satisfied: pytz>=2017.3 in e:\anaconda3\envs\rasa_env\lib\site-packages (from pandas<2.0.0,>=1.0.0->snorkel) (2021.1) Requirement already satisfied: six>=1.5 in e:\anaconda3\envs\rasa_env\lib\site-packages (from python-dateutil>=2.7.3->pandas<2.0.0,>=1.0.0->snorkel) (1.16.0) Requirement already satisfied: joblib>=0.11 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from scikit-learn<0.25.0,>=0.20.2->snorkel) (0.15.1) Requirement already satisfied: threadpoolctl>=2.0.0 in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from scikit-learn<0.25.0,>=0.20.2->snorkel) (2.1.0) Requirement already satisfied: absl-py>=0.4 in e:\anaconda3\envs\rasa_env\lib\site-packages (from tensorboard<2.0.0,>=1.14.0->snorkel) (0.12.0) Requirement already satisfied: werkzeug>=0.11.15 in e:\anaconda3\envs\rasa_env\lib\site-packages (from tensorboard<2.0.0,>=1.14.0->snorkel) (2.0.1) Requirement already satisfied: grpcio>=1.6.3 in e:\anaconda3\envs\rasa_env\lib\site-packages (from tensorboard<2.0.0,>=1.14.0->snorkel) (1.38.0) Requirement already satisfied: markdown>=2.6.8 in e:\anaconda3\envs\rasa_env\lib\site-packages (from tensorboard<2.0.0,>=1.14.0->snorkel) (3.3.4) Requirement already satisfied: wheel>=0.26 in e:\anaconda3\envs\rasa_env\lib\site-packages (from tensorboard<2.0.0,>=1.14.0->snorkel) (0.36.2) Requirement already satisfied: setuptools>=41.0.0 in e:\anaconda3\envs\rasa_env\lib\site-packages (from tensorboard<2.0.0,>=1.14.0->snorkel) (49.6.0.post20210108) Requirement already satisfied: protobuf>=3.6.0 in e:\anaconda3\envs\rasa_env\lib\site-packages (from tensorboard<2.0.0,>=1.14.0->snorkel) (3.17.1) Requirement already satisfied: typing-extensions in c:\users\ashish jain\appdata\roaming\python\python38\site-packages (from torch<2.0.0,>=1.2.0->snorkel) (3.10.0.0) Building wheels for collected packages: networkx Building wheel for networkx (setup.py) ... done Created wheel for networkx: filename=networkx-2.3-py2.py3-none-any.whl size=1555990 sha256=9c94f5d6e380e2cb594911807f48a2c5c51c956adf73361417786843daed01ba Stored in directory: c:\users\ashish jain\appdata\local\pip\cache\wheels\ff\62\9e\0ed2d25fd4f5761e2d19568cda0c32716556dfa682e65ecf64 Successfully built networkx WARNING: Ignoring invalid distribution -qdm (e:\anaconda3\envs\rasa_env\lib\site-packages) Installing collected packages: torch, tensorboard, pandas, networkx, munkres, snorkel Attempting uninstall: tensorboard Found existing installation: tensorboard 2.5.0 Uninstalling tensorboard-2.5.0: Successfully uninstalled tensorboard-2.5.0 Attempting uninstall: networkx Found existing installation: networkx 2.5.1 Uninstalling networkx-2.5.1: Successfully uninstalled networkx-2.5.1 WARNING: Ignoring invalid distribution -qdm (e:\anaconda3\envs\rasa_env\lib\site-packages) WARNING: Ignoring invalid distribution -qdm (e:\anaconda3\envs\rasa_env\lib\site-packages) WARNING: Ignoring invalid distribution -qdm (e:\anaconda3\envs\rasa_env\lib\site-packages) WARNING: Ignoring invalid distribution -qdm (e:\anaconda3\envs\rasa_env\lib\site-packages) WARNING: Ignoring invalid distribution -qdm (e:\anaconda3\envs\rasa_env\lib\site-packages) WARNING: Ignoring invalid distribution -qdm (e:\anaconda3\envs\rasa_env\lib\site-packages)

ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. tensorflow 2.3.2 requires tensorboard<3,>=2.3.0, but you have tensorboard 1.15.0 which is incompatible. rasa 2.6.3 requires networkx<2.6,>=2.4, but you have networkx 2.3 which is incompatible.

Successfully installed munkres-1.1.4 networkx-2.3 pandas-1.2.4 snorkel-0.9.7 tensorboard-1.15.0 torch-1.8.1 WARNING: Ignoring invalid distribution -qdm (e:\anaconda3\envs\rasa_env\lib\site-packages) WARNING: Ignoring invalid distribution -qdm (e:\anaconda3\envs\rasa_env\lib\site-packages) (rasa_env) ~> (rasa_env) ~>pip show rasa Name: rasa Version: 2.6.3 Summary: Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants Home-page: https://rasa.com Author: Rasa Technologies GmbH Author-email: hi@rasa.com License: Apache-2.0 Location: c:\users\ashish jain\appdata\roaming\python\python38\site-packages Requires: python-engineio, pymongo, colorama, webexteamssdk, attrs, matplotlib, aio-pika, oauth2client, setuptools, tensorflow-probability, terminaltables, sentry-sdk, ruamel.yaml, pykwalify, pydot, sklearn-crfsuite, tensorflow-hub, cloudpickle, sanic-jwt, questionary, sanic, python-dateutil, colorhash, networkx, jsonschema, boto3, redis, sanic-cors, aiohttp, coloredlogs, prompt-toolkit, twilio, kafka-python, rasa-sdk, jsonpickle, async-generator, psycopg2-binary, packaging, mattermostwrapper, colorclass, regex, slackclient, scipy, SQLAlchemy, scikit-learn, apscheduler, joblib, requests, pytz, absl-py, fbmessenger, tqdm, PyJWT, tensorflow-addons, ujson, python-socketio, rocketchat-API, numpy, tensorflow, pyTelegramBotAPI, tensorflow-estimator Required-by: (rasa_env) ~>pip show snorkel Name: snorkel Version: 0.9.7 Summary: A system for quickly generating training data with weak supervision Home-page: https://github.com/snorkel-team/snorkel Author: None Author-email: None License: Apache License 2.0 Location: e:\anaconda3\envs\rasa_env\lib\site-packages Requires: scikit-learn, tqdm, pandas, torch, scipy, tensorboard, networkx, munkres, numpy Required-by: (rasa_env) ~>rasa 'rasa' is not recognized as an internal or external command, operable program or batch file. (rasa_env) ~>rasa init 'rasa' is not recognized as an internal or external command, operable program or batch file. === === === === === === === === === === (snorkel_env) ~\ws>rasa init ┌────────────────────────────────────────────────────────────────────────────────┐ │ Rasa Open Source reports anonymous usage telemetry to help improve the product │ │ for all its users. │ │ │ │ If you'd like to opt-out, you can use `rasa telemetry disable`. │ │ To learn more, check out https://rasa.com/docs/rasa/telemetry/telemetry. │ └────────────────────────────────────────────────────────────────────────────────┘ Welcome to Rasa! 🤖 To get started quickly, an initial project will be created. If you need some help, check out the documentation at https://rasa.com/docs/rasa. Now let's start! 👇🏽 ? Please enter a path where the project will be created [default: current directory] Created project directory at '~\ws'. Finished creating project structure. ? Do you want to train an initial model? 💪🏽 No No problem 👍🏼. You can also train a model later by going to the project directory and running 'rasa train'. (snorkel_env) ~\ws>dir /b actions config.yml credentials.yml data domain.yml endpoints.yml tests === === === === === === === === === ===

Checking 'snorkel' installation in both the environments (snorkel_env and rasa_env)

(snorkel_env) ~\test>python Python 3.8.10 | packaged by conda-forge | (default, May 11 2021, 06:25:23) [MSC v.1916 64 bit (AMD64)] on win32 Type "help", "copyright", "credits" or "license" for more information. >>> import snorkel >>> exit() (snorkel_env) ~\test>conda deactivate (base) ~\test>conda activate rasa_env (rasa_env) ~\test>python Python 3.8.10 | packaged by conda-forge | (default, May 11 2021, 06:25:23) [MSC v.1916 64 bit (AMD64)] on win32 Type "help", "copyright", "credits" or "license" for more information. >>> import snorkel >>> exit()

Checking the output of "pipdeptree -r -p"

(base) C:\Users\Ashish Jain>conda activate rasa_env (rasa_env) C:\Users\Ashish Jain>pipdeptree -r -p rasa Ignoring invalid distribution -qdm (e:\programfiles\anaconda3\envs\rasa_env\lib\site-packages) Warning!!! Possibly conflicting dependencies found: * tensorflow==2.3.2 - tensorboard [required: >=2.3.0,<3, installed: 1.15.0] * rasa==2.6.3 - networkx [required: >=2.4,<2.6, installed: 2.3] * typer==0.3.1 - click [required: >=7.1.1,<7.2.0, installed: 8.0.1] ------------------------------------------------------------------------ rasa==2.6.3 (rasa_env) C:\Users\Ashish Jain>pipdeptree -r -p snorkel Ignoring invalid distribution -qdm (e:\programfiles\anaconda3\envs\rasa_env\lib\site-packages) Warning!!! Possibly conflicting dependencies found: * tensorflow==2.3.2 - tensorboard [required: >=2.3.0,<3, installed: 1.15.0] * rasa==2.6.3 - networkx [required: >=2.4,<2.6, installed: 2.3] * typer==0.3.1 - click [required: >=7.1.1,<7.2.0, installed: 8.0.1] ------------------------------------------------------------------------ snorkel==0.9.7 (rasa_env) C:\Users\Ashish Jain>conda deactivate (base) C:\Users\Ashish Jain>conda activate snorkel_env (snorkel_env) C:\Users\Ashish Jain>pipdeptree -r -p rasa Warning!!! Possibly conflicting dependencies found: * tensorflow==2.3.2 - tensorboard [required: >=2.3.0,<3, installed: 1.15.0] * rasa==2.6.3 - networkx [required: >=2.4,<2.6, installed: 2.3] ------------------------------------------------------------------------ rasa==2.6.3 (snorkel_env) C:\Users\Ashish Jain>pipdeptree -r -p snorkel Warning!!! Possibly conflicting dependencies found: * tensorflow==2.3.2 - tensorboard [required: >=2.3.0,<3, installed: 1.15.0] * rasa==2.6.3 - networkx [required: >=2.4,<2.6, installed: 2.3] ------------------------------------------------------------------------ snorkel==0.9.7 Tags: Anaconda,Python,Natural Language Processing,

Sunday, May 30, 2021

The Use of Spies (by Sun Tzu)


Sun Tzu said: Raising a host of a hundred thousand men and engaging them in war entails heavy loss on the people and a drain on the resources. The daily expenditure will amount to a thousand ounces of silver. There will be commotion at home and abroad, and men will drop out exhausted. Opposing forces may face each other for years, striving for the victory which may be decided in a single day. This being so, to remain in ignorance of the enemy’s condition simply because one grudges the outlay of a hundred ounces of silver is the height of stupidity. One who acts thus is no leader of men, no present help to his cause, no master of victory. Thus, what enables the wise commander to strike and conquer, and achieve things beyond the reach of ordinary men, is foreknowledge. Now this foreknowledge cannot be elicited from spirits; it cannot be obtained inductively from experience, nor by any deductive calculation. Knowledge of the enemy’s dispositions can only be obtained from other men. Hence the use of spies, of whom there are five classes: (1) Local spies — Having local spies means employing the services of the inhabitants of an enemy territory; (2) Moles — Having moles means making use of officials of the enemy; (3) Double agents — Having double agents means getting hold of the enemy’s spies and using them for our own purposes; (4) Doomed spies — Having doomed spies means doing certain things openly for purposes of deception, and allowing our spies to know of them and report them to the enemy; (5) Surviving spies — Surviving spies means are those who bring back news from the enemy’s camp. When these five kinds of spy are all at work, none can discover the secret system. This is called “divine manipulation of the threads”. It is the commander’s most precious faculty. Hence it is that which none in the whole army are more intimate relations to be maintained than with spies. None should be more liberally rewarded. In no other fields should greater secrecy be preserved. (1) Spies cannot be usefully employed without a certain intuitive sagacity; (2) They cannot be properly managed without benevolence and straight forwardness; (3) Without subtle ingenuity of mind, one cannot make certain of the truth of their reports; (4) Be subtle! be subtle! and use your spies for every kind of warfare; (5) If a secret piece of news is divulged by a spy before the time is ripe, he must be put to death together with the man to whom the secret was told. Whether the object be to crush an enemy, to storm a territory, or to kill an enemy general, it is always necessary to begin by finding out the names of the attendants, the aides-de-camp, and door-keepers and sentries of the general in command. Our spies must be commissioned to ascertain these. The enemy’s spies who have come to spy on us must be sought out, tempted with bribes, led away and comfortably housed. Thus they will become double agents and available for our service. It is through the information brought by the double agent that we are able to acquire and employ local and inward spies. It is owing to his information, again, that we can cause the doomed spy to carry false tidings to the enemy. Lastly, it is by his information that the surviving spy can be used on appointed occasions. The end and aim of spying in all its five varieties is knowledge of the enemy; and this knowledge can only be derived, in the first instance, from the double agent . Hence it is essential that the double agent be treated with the utmost liberality. Hence it is only the enlightened and wise general who will use the highest intelligence of the army for purposes of spying and thereby they achieve great results. Spies are the most important asset, because on them depends an army’s ability to march. Link to PDF: GitHub Tags: Indian Politics,Politics,Journal,Cyber Security,Management,

Friday, May 28, 2021

Meet Joseph Owaga



JOSEPH’S STORY (Dated: 22nd May, 2021)

1. TIMELINE

My name is Joseph Owaga, born on 8th Nov, 2002 to the couple Mr and Mrs Owaga, both Kenyan citizens by birth. I was brought up in a family of three boys and a girl who go by the names: George, Paul, Brian and Silvia. • EDUCATION BACKGROUND Being brought up in Kenya I went through the 8-4-4 education system where: 1.1. I began my schooling in the year 2008 and sat for my final primary paper in 2016 after the eight years of studies and scored a grade of B. 1.2. I then attended high school for 4 years then in early months of 2021 I sat for KCSE and also scored a grade of B. 1.3. The examination was to be done on November of 2020 but due to the Covid-19 pandemic it never happened as scheduled. 1.4. Currently, I am indoors doing little of computer work as I wait to proceed to the University for the next level of my career studies. 2. HOBBIES AND INTERESTS 2.1. I majorly read novels and short stories during my free time to come up with my summary of understanding about the book.
2.2. For body fitness I love football (soccer). 2.3. I also like coming up with new ideas.
2.4. Finally, I like having fun and hanging out with friends. Original: Finally I like having fun hunging up with friends
Tags: Kenya,Politics,Biography,Communication Skills,Success Story,